Technology and Engineering International Journal of Recent

International Journal of Recent Technology and Engineering

ISSN : 2277 - 3878 Website: www.ijrte.org Volume-8 Issue-2S2, JULY 2019 Published by: Blue Eyes Intelligence Engineering and Sciences Publication

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www.ijrte.org Exploring Innovation Editor-In-Chief Chair Dr. Shiv Kumar Ph.D. (CSE), M.Tech. (IT, Honors), B.Tech. (IT), Senior Member of IEEE Professor, Department of Computer Science & Engineering, Lakshmi Narain College of Technology Excellence (LNCTE), Bhopal (M.P.), India

Associated Editor-In-Chief Chair Dr. Dinesh Varshney Professor, School of Physics, Devi Ahilya University, Indore (M.P.), India

Associated Editor-In-Chief Members Dr. Hai Shanker Hota Ph.D. (CSE), MCA, MSc (Mathematics) Professor & Head, Department of CS, Bilaspur University, Bilaspur (C.G.), India

Dr. Gamal Abd El-Nasser Ahmed Mohamed Said Ph.D(CSE), MS(CSE), BSc(EE) Department of Computer and Information Technology , Port Training Institute, Arab Academy for Science ,Technology and Maritime Transport, Egypt

Dr. Mayank Singh PDF (Purs), Ph.D(CSE), ME(Software Engineering), BE(CSE), SMACM, MIEEE, LMCSI, SMIACSIT Department of Electrical, Electronic and Computer Engineering, School of Engineering, Howard College, University of KwaZulu-Natal, Durban, South Africa.

Scientific Editors Prof. (Dr.) Hamid Saremi Vice Chancellor of Islamic Azad University of Iran, Quchan Branch, Quchan-Iran

Dr. Moinuddin Sarker Vice President of Research & Development, Head of Science Team, Natural State Research, Inc., 37 Brown House Road (2nd Floor) Stamford, USA.

Dr. Shanmugha Priya. Pon Principal, Department of Commerce and Management, St. Joseph College of Management and Finance, Makambako, Tanzania, East Africa, Tanzania

Dr. Veronica Mc Gowan Associate Professor, Department of Computer and Business Information Systems,Delaware Valley College, Doylestown, PA, Allman, China.

Dr. Fadiya Samson Oluwaseun Assistant Professor, Girne American University, as a Lecturer & International Admission Officer (African Region) Girne, Northern Cyprus, Turkey.

Dr. Robert Brian Smith International Development Assistance Consultant, Department of AEC Consultants Pty Ltd, AEC Consultants Pty Ltd, Macquarie Centre, North Ryde, New South Wales, Australia

Dr. Durgesh Mishra Professor & Dean (R&D), Acropolis Institute of Technology, Indore (M.P.), India

Executive Editor Chair Dr. Deepak Garg Professor & Head, Department Of Computer Science And Engineering, Bennett University, Times Group, Greater Noida (UP), India

Executive Editor Members Dr. Vahid Nourani Professor, Faculty of Civil Engineering, University of Tabriz, Iran.

Dr. Saber Mohamed Abd-Allah Associate Professor, Department of Biochemistry, Shanghai Institute of Biochemistry and Cell Biology, Shanghai, China.

Dr. Xiaoguang Yue Associate Professor, Department of Computer and Information, Southwest Forestry University, Kunming (Yunnan), China.

Dr. Labib Francis Gergis Rofaiel Associate Professor, Department of Digital Communications and Electronics, Misr Academy for Engineering and Technology, Mansoura, Egypt.

Dr. Hugo A.F.A. Santos ICES, Institute for Computational Engineering and Sciences, The University of Texas, Austin, USA.

Dr. Sunandan Bhunia Associate Professor & Head, Department of Electronics & Communication Engineering, Haldia Institute of Technology, Haldia (Bengal), India.

Dr. Awatif Mohammed Ali Elsiddieg Assistant Professor, Department of Mathematics, Faculty of Science and Humatarian Studies, Elnielain University, Khartoum Sudan, Saudi Arabia.

Technical Program Committee Chair Dr. Mohd. Nazri Ismail Associate Professor, Department of System and Networking, University of Kuala (UniKL), Kuala Lumpur, Malaysia.

Technical Program Committee Members Dr. Haw Su Cheng Faculty of Information Technology, Multimedia University (MMU), Jalan Multimedia (Cyberjaya), Malaysia.

Dr. Hasan. A. M Al Dabbas Chairperson, Vice Dean Faculty of Engineering, Department of Mechanical Engineering, Philadelphia University, Amman, Jordan.

Dr. Gabil Adilov Professor, Department of Mathematics, Akdeniz University, Konyaaltı/Antalya, Turkey.

Dr. Ch.V. Raghavendran Professor, Department of Computer Science & Engineering, Ideal College of Arts and Sciences Kakinada (Andhra Pradesh), India.

Dr. Thanhtrung Dang Associate Professor & Vice-Dean, Department of Vehicle and Energy Engineeering, HCMC University of Technology and Education, Hochiminh, Vietnam.

Dr. Wilson Udo Udofia Associate Professor, Department of Technical Education, State College of Education, Afaha Nsit, Akwa Ibom, Nigeria.

Manager Chair Mr. Jitendra Kumar Sen Blue Eyes Intelligence Engineering & Sciences Publication, Bhopal (M.P.), India

Editorial Chair Dr. Sameh Ghanem Salem Zaghloul Department of Radar, Military Technical College, Cairo Governorate, Egypt.

Editorial Members Dr. Uma Shanker Professor, Department of Mathematics, Muzafferpur Institute of Technology, Muzafferpur(Bihar), India

Dr. Rama Shanker Professor & Head, Department of Statistics, Eritrea Institute of Technology, Asmara, Eritrea

Dr. Vinita Kumar Department of Physics, Dr. D. Ram D A V Public School, Danapur, Patna(Bihar), India

Dr. Brijesh Singh Senior Yoga Expert and Head, Department of Yoga, Samutakarsha Academy of Yoga, Music & Holistic Living, Prahladnagar, Ahmedabad (Gujarat), India.

S. Volume-8 Issue-2S2, July 2019, ISSN: 2277-3878 (Online) Page No Published By: Blue Eyes Intelligence Engineering & Sciences Publication No.

Authors: S.Preethi Saroj, P.Balasubramanie, J.Venkatesh Paper Title: Medical Image Classification Based on Curriculam Learning Abstract: With the emergence of large medical images and exceptional growth of diagnostic methods, categorizing them into respective class has always been a dominant topic in computer vision. Though the system seems ubiquitous, achieving higher accuracy rates for classification is critical. Semi-Supervised Learning (SSL) is better than supervised learning as it eliminates labeling all images thus reducing computational cost and time. Existing methods suffer from classification accuracy due to the presence of outliers in critical images. This paper is an attempt to apply SSL through Multi-Modal Curriculum Learning (MMCL) strategy over medical images. Through this, medical images can be categorized into normal and abnormal images. Experimental results demonstrate good accuracy for classification.

Keywords: Medical imaging, Semi-Supervised Learning, Multi-modal Curriculum, Pyramid Histogram of Gradients

References: 1. Anna Bosch , Andrew Zisserman and Xavier Munox. (2007), ‘Representing shape with a Spatial Pyramid Kernel’, ACM International Conference on Image and Video retrieval, pp. 401-408. 2. Bengio Y, Louradour J, Collobert R, and Weston J. (2009), ‘Curriculum Learning’, International Conference Machine Learning(ICML), pp. 41-48. 3. Cai X, Nie F, Cai W and Huang H (2013), ‘Heterogeneous image features integration via multi-modal semi-supervised learning modal’, IEEE International Conference on Computer Vision, pp. 1737-1744. 1. 4. Dai D and Van Gool L. (2013), ‘Ensemble projection for Semi-Supervised classification’, IEEE International Conference on Computer 1-4 Vision, pp. 2072-2079. 5. Gong C, Tao D, Liu W, Liu L and Yang J. (2016), ‘Label Propagation via Teaching-to-Learn and Learning-to-Teach, IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, No. 6, pp. 1452-1465. 6. Guillaumin M, Verbeek J and Schmid C. (2010), ‘Multimodal Semi-supervised learning for image classification’, IEEE Conference on Computer Vision and Pattern Recognition , pp. 902-909. 7. Jun Li, Yu Kong, Handong Zhao, Jian Yang and Yun Fu. (2016), ‘Learning Fast Low-Rank Projection for Image Classification’, IEEE Transaction on Image Processing, Vol. 25, No.10, pp 4803-4815. 8. Li Yuan, QingSong Yu, Chaomin Shen, Wenxin Hu and Zhitong Yang. (2016), ‘New Watershed Segmentation algorithm based on Hybrid Gradient and Self-Adaptive Marker Extraction’, IEEE International Conference on Computer and Communications, pp 624-629. 9. Liping Jing, Chenyang Shen, Liu Yang, Jian Yu, and Michael K. (2017), ‘Multi-Label Classification by Semi-Supervised Singular Value Decomposition’, IEEE Transaction on Image Processing, Vol. 26, No.10, pp 4612-4626. 10. Luo Y, Liu T, Tao D and Xu C. (2015), ‘Multiview matrix Completion for multilabel image classification’. IEEE Transactions on Image Processing, Vol. 24, No. 8, pp. 2355-2368. 11. Meng Jian and Cheolkon Jung. ( 2016), ‘Interactive image segmentation using Adaptive Constraint Propagation’, IEEE Transaction on Image Processing, Vol. 25, No. 3, pp 1301-1311. 12. Ojala T, Pietikainen M, Maenpaa T. (2002)‘Multiresolution gray-scale and rotation invariant texture classification with local binary patterns’, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 7, pp 971-987. 13. Qiang Li, Bo Xie, Jane You and Wei Bian. (2016), ‘Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification’, IEEE Transaction on Image Processing, Vol. 25, No. 8, pp 3801-3813. 14. Seungryong Kim, RuiCai, Kihong Park, Sunok Kim and KwanghoonSohn. (2017), ‘ Modality-Invariant Image Classification Based on Modality Uniqueness and Dictionary Learning’, IEEE Transaction on Image Processing, Vol. 26, No. 2, pp 884-900. 15. Zhu X and Ghahramani Z. (2007), ‘Learning from labeled and unlabeled data with label Propagation’, School of Computer Science, Carnegie Mellon Univerrsity, Pittsburgh, PA, USA, Tech. Rep. CMU-CALD-02-107 Authors: E.Kodhai, S.Jaseema Yasmin, K.Subhasree, V.Vikneshwari Paper Title: Detection of Breast Cancer using Digital Image Processing Techniques Abstract: Breast cancer, a major public health contention and currently causes an increased rate of cancer death in women. The preeminent intent of this project in medical diagnostics is by using mammography, that is a unique imaging technique in medicine for examining the breasts. A higher quality mammographic images (for example electronic pictures) are stored, mammography method (i.e exam) is performed, which is a prior stage for detection and diagnosis of bosom’s malignant growth. In order to detect the tumor FCM algorithm for segmentation is used and the features are extracted by using multi-level wavelet transformation technique with PCA and then some features are added with GLCM features. Further, those segmented region features are extracted and the dataset is trained and tested completely. The images are classified by using SVM, KNN, Tree classifier, Neural Networks or 2. Naive Bayes classifier. Finally, the images from Kaggle dataset are compared and categorized as normal, benign or 5-9 malignant tumors.

Keywords: FCM, GLCM- Gray Level Co-Occurrence Matrix, Bosom, Classifier, Mammogram.

References: 1. Salama, G. I., Abdelhalim, M., &Zeid, M. A. (2012). Breast cancer diagnosis on three different datasets using multi-classifiers. International Journal of Computer and Information Technology, 1 (1), 0764–2277. 2. Sangeetha R , Dr. Srikanta Murthy K “A Novel Approach for Detection of Breast Cancer at an early stage using Digital Image Processing techniques” International Conference on Inventive Systems andControl(ICISC-2017). 3. Siyabend Turgut, Mustafa Dagtekin, TolgaEnsari“ Microarray Breast Cancer Data Classification Using Machine Learning Methods ”978- 1-5386-5135-3/18/$31.00 ©2018 Ieee. 4. Varalatchoumy.M, Ravishankar.M “Four Novel ApproachesForDetection ofRegion of Interest In Mammograms” A Comparative Study Proceedings Of The International Conference On Intelligent Sustainable Systems (Iciss 2017) Ieee Xplore Compliant - Part Number: Cfp17m19-Art, Isbn:978-1- 5386-1959-9. 5. Ameer Nisha.S, ShajunNisha.S, Dr.M.MohamedSathik “A Study On Surf &Hog Descriptors For Alzheimer’s Disease Detection” (Irjet 2017) E-Issn: 2395 - 0056, P-Issn:2395-0072. 6. AmmuPK,PreejaV “Review On Feature Selection Techniques Of DNA Microarray Data” International Journal Of Computer Applications, Volume 61– No.12, January2013. 7. Libn, Chui Ck, Chang S, Ong Sh “Integrating Spatial Fuzzy Clustering with LevelsetMethods ForAutomated Medical Image Segmentation” Elsevier Ltd. 0010- 4825/©2010. 8. Anna N. Karahaliou, Ioannis S. Boniatis, Spyros G. Skiadopoulos, Filippos N. Sakellaropoulos, Nikolaos S. Arikidis, Eleni A. Likaki, George S. Panayiotakis, Lena I. Costaridou “Breast Cancer Diagnosis: Analyzing Texture of Tissue Surrounding Microcalciﬁcations” 1089-7771/© 2008Ieee. 9. P.M.Sampat, M.K.Markey, A.C.Bovik, “Computer- Aided Detection And Diagnosis In Mammography,”In Handbook Of Image and Video Processing, A. C. Bovik, Ed.,2nd Ed. New York: Academic, 2005, Pp. 1195–1217. 10. L .Tabar, P. Dean., “Mammography And Breast Cancer; The New Era,” International Journal Of Gynecology And Obstetrics, Vol.28, Issus 3, September 2003, Pp.319-326. 11. Gaurav Kumar And Pradeep Kumar Bhatia, “A Detailed Review Of Feature Extraction In Image Processing System”International Conference On Advanced Computing and Communication Technologies, 2014, Pp.5– 12. 12. A.Qayyum and A.Basit, “Automatic Breast Segmentation And Cancer Detection Via Svm In Mammograms’’, Ieee,2016. 13. D.Dinsha, “Breast Tumor Segmentation And Classification Using SVM And Bayesian From Thermogram Images., ”Unique Journal Of Engineering & Advanced Sciences, Vol. 2, 2014, Pp:147-151.J. 14. K.N.Nyein Hlaing and Anilkumar K.G, “Myanmar Paper Currency Recognition Using GLCM And Kn’’, Second Asian Conference On Defence Technology (Acdt), Ieee, 2016. 15. O.S.Pianykh, Digital Imaging And Communications In Medicine: A Practical Introduction And Survival Guide, 1st Ed. Springer Publishing Company, Incorporated,2008. 16. M. J. Weinberger, G. Seroussi, And G. Sapiro, “The Loco-I Lossless Image Compression Algorithm: Principles And Standardization Into Jpegs” Ieee Transactions On Image Processing, Vol. 9, No. 8, Pp. 1309–1324, Aug2000. 17. Iso/Iec 14495-1, Itu-T Rec. T.87, Information Technology – Lossless and Near-Lossless Compression Of Continuous-Tone Still Images: Baseline,1998. 18. Manikanthan, S.V., Padmapriya, T. A secured multi-level key management technique for intensified wireless sensor network. International Journal of Recent Technology and Engineering. 2019 Authors: Mpawenimana Abdallah Saidi, Robert Renatus Bujiku, Neilson Ilan Mersat, Arnold Puyok Decentralization by Devolution Policy in Tanzania: Does Devolution Policy Improved Political Paper Title: Accountability? Abstract: The aim of this study was to examine how decentralization by devolution policy improved situation of political accountability in governance system in Tanzania for a decade ago. The study conducted in the mainland Tanzania where by three regions of Mwanza, Geita and Kagera were involved in the study. Qualitative method and approaches were used to generate qualitative data from individual interviews involving Village chairpersons, Councilors, and Members of Parliament. Relevant different existing documents were critically reviewed and adopted. The sample size and the selection procedure of the key informants were purposively done, and snowball quota sampling was employed to reach the key study informants. A total of thirty (30) participants were carefully selected to participate in the study. The findings show that decentralization by devolution policy appeared to create awareness of accountability practice amongst politically elected leaders, even though it has not yet improved accountability practice in governance systems. Therefore, the study commends the overhaul of political accountability system in decentralized governance operations, this will help the government to restructure and reinforce implementation of political accountability.

Keywords: Decentralization, Accountability, Political accountability, Devolution policy

References: 3. 1. Agrawal, A. (1999). Accountability in Decentralization: A framework with South Asian and West African cases. The Journal of Developing Areas, 33(4), 473-502. 10-16 2. Ahmad, J., Devarajan, S., Khemani, S., & Shah, S. (2005). Decentralization and Service Delivery. The World Bank. 3. Bagaka, O. (2008, October). Fiscal Decentralization in Kenya: The Constituency Development Fund and the Growth of Government. In Proceedings Of 20th Annual Conference Of The Association For Budgeting And Financial Management, Chicago. 4. Bardhan, P. and D. Mookherjee (2006) “Accountability and Decentralization of Infrastructure Delivery in Developing Countries”. Economic Journal 116. 5. Bass, B. M., & Avolio, B. J. (Eds.). (1994). Improving organizational effectiveness through transformational leadership. Sage. 6. Bellamy, R., Castiglione, D., Follesdal, A., & Weale, A. (2011). Evaluating trustworthiness, representation and political accountability in new modes of governance. In New modes of governance in Europe (pp. 135-162). Palgrave Macmillan, London. 7. Blair, H. (2000). Participation and accountability at the periphery: democratic local governance in six countries. World development, 28(1), 21-39. 8. Bovens, M. (2007). Analysing and assessing accountability: A conceptual framework 1. European law journal, 13(4), 447-468. 9. Chaligha, A. (2008). Local Government and Citizen Participation in Tanzania: From a local government reform perspective. Dar es Salaam: 10. Chandler, J. A. (2013). New Labour. In explaining local government. Manchester University Press. 11. Conyers, D. (1981). Decentralization for regional development: A comparative study of Tanzania, Zambia and Papua New Guinea. Public Administration and Development, 1, 107–120 12. Escobar‐Lemmon, M., & Ross, A. D. (2013). Does decentralization improve perceptions of accountability? Attitudinal evidence from Colombia. American Journal of Political Science, 58(1), 175-188. 13. Faguet, J. P. (1997). Decentralization and local government performance. Food and Agriculture Organization. 14. Faguet, J. P. (2000). Decentralization and Local Government Performance: Improving Public Services Provision in Bolivia. Revista de Economía Del Rosario, 3(1). 15. Falleti, T. G. (2005). A sequential theory of decentralization: Latin American cases in comparative perspective. American Political Science Review, 99(3), 327-346. 16. Falleti, T. G. (2010). Decentralization and subnational politics in Latin America. Cambridge University Press. 17. Ferguson, I., & Chandrasekharan, C. (2005). Paths and pitfalls of decentralization for sustainable forest management: experiences of the Asia-Pacific region. The Politics of Decentralization: Forests, Power and People, 63-85. 18. Fisman, R., & Gatti, R. (2002). Decentralization and corruption: evidence across countries. Journal of Public Economics, 83(3), 325-345. 19. Garman, C., Haggard, S., & Willis, E. (2001). Fiscal decentralization: A political theory with Latin American cases. World Politics, 53(2), 205-236. 20. Gaventa, J., & Valderrama, C. (1999, June). Participation, citizenship and local governance. In Background note for the workshop “Strengthening Participation in Local Governance,” University of Sussex, Institute of Development Studies (Vol. 21). 21. Gregersen, H. M., Contreras-Hermosilla, A., White, A., & Phillips, L. (2005). Forest governance in federal systems: An overview of experiences and implications for decentralization. The Politics of Decentralization. Forests, People and Power. Earthscan, Sterling, London, 13-31. 22. Grindle, M. S. (2007). Going local: decentralization, democratization, and the promise of good governance. Princeton University Press. 23. Kessy, A. T., & McCourt, W. (2013). Is decentralization still recentralization? The local government reform programme in Tanzania. In Public Sector Reform in Developing and Transitional Countries (pp. 115-123). Routledge. 24. Killian, B. (2017). The Ups and Downs of Popular Demands for Accountability in Tanzania. The African Review, 36(1 & 2), 23-44. 25. Klein, R., & Day, P. (1987). Accountabilities: five public services. London: Tavistock. 26. Leana, C. R. (1987). Power relinquishment versus power sharing: Theoretical clarification and empirical comparison of delegation and participation. Journal of Applied Psychology, 72(2), 228. 27. Manor, J. (2011). Perspectives on decentralization. International Center for Local Government (ICLD) Working Paper, (3). 28. Marcossy,A. (2014). A paper published in the Journal of Tanzania Public Sector Management Journal, Vol III Number 2, (p 24 – 42). 29. Marcossy, A.M. (2013). The linkage between social accountability and poverty in Local government Authorities in Tanzania. Journal of public Service Management (4): 24-27. 30. Marcossy, A.M. (2017). Why is Tanzania poor? The Role of Social Accountability in Poverty Reduction. 31. McGinn, N., & Street, S. (1986). Educational decentralization: Weak state or strong state? Comparative Education Review, 30(4), 471– 490. 32. Mgonja, B. E., & Tundui, C. (2012). Institutional Impacts of the Local Government Reform Program on Good Local Governance in Tanzania. International Journal of Academic Research in Business and Social Sciences, 2(5), 206. 33. Minas, R., Wright, S., & van Berkel, R. (2012). Decentralization and centralization: Governing the activation of social assistance recipients in Europe. International Journal of Sociology and Social Policy, 32(5/6), 286-298. 34. Mollel, H. A. (2010). Participation for local development: The reality of decentralization in Tanzania (p. 172). African Studies Centre, Leiden. 35. Mulgan, R. (2000). ‘Accountability’: an ever‐expanding concept? Public administration, 78(3), 555-573. 36. Mwakagenda, H.T. (2013). Social Accountability Monitoring in Africa: Public Expenditure Tracking Survey in Tanzania as a case study. The leadership Forum, Dar es Salaam, Tanzania. 22pp 37. Peterson, G. E. (1997). Decentralization in Latin America: learning through experience. The World Bank. 38. Pitkin, H. F. (1967). The concept of representation (Vol. 75). Univ of California Press. 39. Pollitt, C., Birchall, J., & Putman, K. (1998). Decentralizing Public Service Management. London: MacMillan Press 40. Prud’homme, R. (1994). On the Dangers of Decentralization. Policy Research Paper 1252. Washington, DC: The World Bank. 41. Prud'Homme, R. (1995). The dangers of decentralization. The World Bank research observer, 10(2), 201-220. 42. Przeworski, A., Stokes, S. C., & Manin, B. (Eds.). (1999). Democracy, accountability, and representation (Vol. 2). Cambridge University Press. 43. Richardson, R. (2000). Political accountability and public sector performance management: Exploring the linkages and lessons. In V International Congress of CLAD on State Public Administration Reform. 44. Rondinelli, D. A. (1981). Government decentralization in comparative perspective: theory and practice in developing countries. International review of administrative sciences, 47(2), 133-145. 45. Rondinelli, D. A., McCullough, J. S., & Johnson, R. W. (1989). Analysing decentralization policies in developing countries: a political‐economy framework. Development and change, 20(1), 57-87. 46. Samoff, J. (1990). Decentralization: The politics of interventionism. Development and Change, 21(3), 513-530. 47. Santiso, C. (2001). Good governance and aid effectiveness: The World Bank and conditionality. The Georgetown public policy review, 7(1), 1-22. 48. Venugopal, V., & Yilmaz, S. (2010). Decentralization in Tanzania: an assessment of local government discretion and accountability. Public Administration and Development, 30(3). 49. Vrangbæk, K. (2007). Decentralization in towards a typology for decentralization in health care. In R.B. Saltman, V. Bankauskaite & K. Vrangbæk (Eds.), Decentralization in Health Care: Strategies and Outcomes (pp. 1–8).Maidenhead, Berkshire, UK: McGraw-Hill/Open University Press. 50. Zhang, J. (2008). Decentralization and Growth: China Context [J]. China Economic Quarterly, 1 Wan Abdul Rahim Wan Mohd Isa, Ahmad Iqbal Hakim Suhaimi, Nurulhuda Noordin, Authors: Afdallyna Fathiyah Harun, Juhaida Ismail, Famie Izudin Abdullah

Paper Title: Cultural Dimensions of Malay Cultures: Performance of IT Professionals

Abstract: The main objective of this research is to investigate the cultural dimensions of IT Professionals from the Malay ethnic group in Malaysia. The research will also provide empirical support on the findings of literature analysis on the Malay Cultural Dimensions by adapting the questionnaires based on Hofstede’s Values Survey Module 2008. Literature analysis was performed on key research areas such as cultural theory and Malay cultural dimensions. Findings of the literature analysis shall provide partial answer to the identified research question. The Malay cultural dimensions are determined by matching the findings of literature analysis on Hofstede’s cultural dimensions and Malay ‘Budi’ concept. These cultural dimensions are then compared with Hofstede’s cultural index formula for verification. The data collection was carried out over a period of two months in 2015 with 164

IT Professionals from the Malay ethnic group working from selected area in Malaysia such as Perak, Selangor and Kuala Lumpur in Malaysia. Future work may include mapping Malay cultural dimensions to Information Technology body of knowledge and various related various discipline such as human-computer interaction.

Keywords: Culture Dimension, Malay Culture References:

1. H-C. Wang, S. R. Fussell and L. D. Setlock, “Cultural difference and adaptation of communication styles in computer-mediated group brainstorming,” In Proceedings of CHI 2009, 2009.. 2. A. M. Soares, M. Farhangmehr and A. Shoham, “Hofstede's dimensions of culture in international marketing studies,” Journal of Business Research, 2007, vol. 60, pp. 277–284. 3. G. Hofstede, “Dimensionalizing cultures: the hofstede model in context,” Online Readings in Psychology and Culture, 2011, vol. 2, no. 1. 4. 4. C. Jerome, “The complexity of malay muslim identity in dina zaman’s i am muslim,” GEMA Online® Journal of Language Studies, vol. 13 no. 2, 2013, pp. 169-179. 17-21 5. A. R. Kamaruddin and K. Kamarulzaman, “Malay culture and consumer decision-making styles: an investigation on religious and ethnic dimensions,” Jurnal Kemanusiaan, 2009, vol. 7, no. 2. 6. W. N. Wan Husin and H. L. Ong, “The malay-islamic values as the foundation of nation-building in malaysia: a study on the national cultural policy,” in Proceedings of 5th International Conference on Humanities and Social Sciences, Faculty of Liberal Arts, Prince of Songkla University, 2013, pp. 360-376. 7. W. N. Wan Husin, “Budi-islam; it’s role in the construction of malay identity in malaysia. International Journal of Humanities and Social Science, 2011, vol. 1 no. 12, pp. 132-142. 8. M. L. Storz, “Malay and chinese values underlying the malaysian business culture. International Journal of Intercultural Relations, 1999, vol. 23, no.1, pp. 117-131. 9. R. Abdul Rahman and F. H. Mohamed Ali, “Board, audit committee, culture and earnings management: malaysian evidence,” Managerial Auditing Journal, vol. 21, no.7, 2006, pp. 783-804. 10. F. S. Lai, S. C. Chong, B. K. Sia and B. C. Ooi, “Culture and consumer behaviour: comparisons between malays and chinese in Malaysia,” International Journal of Innovation, Management and Technology, 2010, vol.1, no.2, pp. 180-185. 11. S. S. Abdullah, “Journey to australia: the experience of malaysian international students and spouses,” Journal of Business and Social Development, vol. 2, no. 1, 2014, pp. 123-130. 12. A. Varma and P. S. Budhwar, Managing Human Resources in Asia-Pacific (2nd Ed.). New York: Routledge, 2013. 13. C. Selvarajah and D. Meyer, “One nation, three cultures: exploring dimensions that relate to leadership in malaysia,” Leadership & Organization Development Journal, 2008, vol. 29, no. 8, pp. 693-712. 14. K. H. Lim, “Budi as the malay mind: a philosophical study of malay ways of reasoning and emotion in peribahasa” (PhD dissertation). Department of Austronesian Studies, University of Hamburg, Germany, 2003. 15. W. F. Wan Yusoff, “Organizational culture and its impact on firm performance: case study of malaysian public listed companies,” in International Conference on Management (ICM 2011) Proceeding, 2011, pp. 124-136. 16. W. A. R. Wan Mohd Isa, N. L. Md Noor and S. Mehad, “Inducting the dimensions of islamic culture, 21st international symposium on human factors in telecommunication (hft 2008), Kuala Lumpur, Malaysia, 2008, pp. 89-96. 17. I. Oluwabusuyi, “Are malaysia managers more rational than united states managers?,” Interdisciplinary Journal of Research in Business, 2011, vol.1, no.1, pp. 13-20. 18. K. MdNor, J. Sutanonpaiboon and N. H. Mastor, “Malay, chinese, and internet banking,” Chinese Management Studies, 2010, vol. 4 no.2, pp. 141-153. 19. N. Kassim and N. A. Abdullah, “The effect of perceived service quality dimensions on customer satisfaction, trust, and loyalty in e- commerce settings: a cross cultural analysis,” Asia Pacific Journal of Marketing and Logistics, 2010, vol. 22, no.3, pp. 351-371. 20. L. Lim, “Cultural attributes of malays and malaysian chinese: implications for research and practice,” Malaysian Management Review, 1998, vol.33, no.2, pp. 81-88. 21. M. A., Ramli, M. N. Mat Hussin and M. A. Jamaludin, “Elemen sumbangan dalam pembahagian harta sepencarian: pengalaman kaum wanita melayu di Malaysia,” ESTEEM Academic Journal, 2012, vol. 8, no.2, pp. 77-92. 22. S. Lnayatullah, “Futures visions for south-east asia: some early warning signals,” Futures, 1995, vol. 27, no. 6, pp. 681-688. 23. J. Abdul Karim, and K. A. Rezo. “Measuring malay values: an exploratory study,” Akademika, vol. 82, no. 1, 2012, pp. 113-123. 24. G. Hofstede and G. J. Hofstede, G. J. (n.d.). VSM08 (Values Survey Module 2008). Retrieved from http://www.geerthofstede.nl/vsm-08. 25. P. B. Organista, G. Marin, G. and K. M. Chun, The Psychology of Ethnic Groups in the United States. SAGE Publications, 2010. 26. M. Jones, Hofstede – Culturally questionable? Oxford Business & Economics Conference, 2007. Retrieved from http:// ro.uow.edu.au/commpapers/370. 27. W. A. R. Wan Mohd Isa, N. L. Md Noor and S. Mehad, “Inducting the dimensions of islamic culture: a theoretical building approach and website information architecture design application,” in 21st International Symposium Human Factors in Telecommunication: User Experience of ICTs, 2008, pp. 89-96.\ 28. W. A. R. Wan Mohd Isa, N. L. Md Noor and S. Mehad, “Culture design of information architecture for b2c ecommerce websites,” in Masaaki Kurosu (ed.) Human Centered Design. Evaluation and Assessment, LNCS 5619 (pp. 805-814), Springer-Verlag Berlin Heidelberg. 29. W. A. R. Wan Mohd Isa, N. L. Md Noor and S. Mehad, “Incorporating the cultural dimensions into the theoretical framework of website information architecture,” in Nuray Aykin (Ed.) (2007), Usability and Internationalization. HCI and Culture, 2007, pp. 212-221, Springer- Verlag Berlin Heidelberg. 30. W. A. R. Wan Mohd Isa, A. Mohd Lokman, N. L. Md Noor, “Investigating culture influences to information privacy,” in Knowledge Management International Conference (KMICe), 2014, pp. 332-337 31. W. A. R. Wan Mohd Isa, N. L. Md Noor & Sharifah Sakinah, S. H. A., “Culture influences to website information architecture: an empirical investigation,” In Halimah Badioze, Z., Tengku Mohd, T. S., Van Rijsbergen, K., Zadeh, L., Bruza, P.D., Shih, T. & Mohd Nasir, T. (Eds.) (2008), Proceedings International Symposium on Information Technology 2008 Kuala Lumpur Convention Centre, Malaysia 26- 29 August 2008: Volume 1 Systems Development and Applications, 2008, pp. 671-678, IEEE. 32. W. A. R. Wan Mohd Isa, N. L. Md Noor and S. Mehad, “Exploring the applicability of web architectural-inducing model (wa-im) for information architecture in cultural context: A structural equation modeling approach,” In Pichappan, P. & Abraham, A. (Eds.) (2008), Third IEEE International Conference on Digital Information Management (ICDIM), November 13-16, 2008, London, UK, Proceedings. 33. A. S. Zulkifli, W. A. R. Wan Mohd Isa and A. Mohd Lokman, “Consumer evaluation measurement model (cemmo) in culturally-mediated web information architecture," in 2012 International Conference on Information Retrieval & Knowledge Management (CAMP)”, pp.110- 114, 2012, IEEE. 34. W. A. R. Wan Mohd Isa, N. L. Md Noor and S. Mehad, “Cultural prescription vs user perception of information architecture for culture centred website: a case study on muslim online user, in A. Ant Ozok, Panayiotis Zaphiris (eds.) (2009), Online Communities and Social Computing. Social Behaviour in On-line Communities, LNCS 5621 (pp. 535–544), Springer-Verlag Berlin Heidelberg. 35. S. Mehad, W. A. R. Wan Mohd Isa and N. L. Md Noor, “Muslim user interface evaluation framework (muslim-ui) for islamic genre website: a quantitative approach,” in Proceedings of the 3rd International Conference on Information and Communication Technology for the Muslim World (ICT4M) 2010. Norsafiah Norazman, Siti Nurul Asma’ Mohd Nashruddin, Adi Irfan Che Ani, Norhaslina Jaa’far, Authors: Muhamad Azry Khoiry

Paper Title: School Building Defects: Impacts Teaching and Learning Environment Abstract: This paper focus point is common building defects that usually give result instead of the negative

impacts on the teaching and learning environment school buildings in Malaysia. An overview of common defects is involved in the school building, which will facilitate a comparative school building performance. The study stated the failure to control the critical defects in the school building and then concluded that they are affecting the teaching and learning environment. Thus, this study aimed to identify the building defects that commonly happen in school buildings in Malaysia. Next, identified the critical elements of school building involved in defects. It also analyzed the effect of school building defects towards the teaching and learning environment. A literature review was conducted to analysis the common building defects involved at the school building. Beside, this paper

reviewed, summarized, and discussed the common building defects that usually happen in the school buildings and the effect to the teaching and learning environment. The survey instruments used in this study were random questionnaire distribution to fifty (50) respondents and interview with ten (10) teachers. The findings had shown that major defects in the school buildings are peeling paint, dampness, and cracked wall. The finding revealed that school building defects mostly affected students’ concentration and attendance where it found from the majority of interview participants, thereby giving a direct impact on the environment of teaching and learning. This paper provides the current information, knowledge and findings that related with common types of school building

defects that may affect students’ performance. Therefore, it will assist the school building management, building facilities and other professionals to clarify the specific building defects more early based on the current findings.

Keywords: Building Defects, Environmental, Facilities, Learning Space, School Condition

References: 1. A Ghafar Ahmad. 2004. "Understanding Common Building Defects",Architec Magazine, 16 (1): 19–21. 2. A.H Samah, N.M Tawil Mahli, A.I. Che Ani, M. . A. R. 2014. "Building Condition Assessment Using Condition Survey Protocol matrix: A Case of School Building", Research Journal of Applied Science, 9 (9): 565–572. 3. Ahzahar, N., Karim, N. A., Hassan, S. H. & Eman, J. 2011."A Study of Contribution Factors to Building Failures and Defects in Construction Industry", Procedia Engineering The 2 nd International Building Control Conference 2011, Procedia Engineering, 20: 249– 255 4. Bakri, N. N. O. & Mydin, M. A. O. 2014. "General Building Defects: Causes, Symptoms and Remedial Work", European Journal of Technology and Design, 3 (1): 4–17. 5. Baker, L. & Bernstein, H. 2012. "The Impact of School Buildings on Student Health and Performance". Mc Graw Hill Research Foundation : 1–36. 6. Barry A.Richardson. 2002. Defects and Deterioration In Buildings, ,2nd Edition . Taylor & Francis Group. 7. Chan, T. C. & Chan, T. C. 2009. "Do portable classrooms impact teaching and learning", Journal of Educational Administration, 47 (3): 290–304 5. 8. Chance J. T., Shannon M.C. 2015. "Enhancing Building Performance and Environmental Learning": Hampton University, USA: 54–73.. 9. Cronbach, L. J. 1951. "Coefficient alpha and the internal structure of tests". Psychometrika, 16: 297–334. 10. Giallo, R. & Little, E. 2003. "Classroom Behaviour Problems : The Relationship between Preparedness , Classroom Experiences , and Self- 22-29 efficacy in Graduate and Student Teachers". Australian Journal Of Educational & Development Psychology, 3: 21–34. 11. Graça, B., Jorge, F., Marques, M. & Escolar, P. 2011. "High performance school bu i ld i ngs in Portugal : a life cycle perspective". Deputy Director, Sustainability Department Parque Escolar, E.P.E, (October 2009). 12. Guttman, L. 1945. "A basis for analyzing test-retest reliability", Psychometrika, 10 : 255–282. 13. Hampshire, N. 2016. "Public School Enrollment". The Condition of Education 2016: 14–15. 14. Hassanain, M.A.Iftikhar, A. 2015. Framework model for post-occupancy evaluation of school facilities. Structural Survey, 33 (4-5): 322– 336. 15. Hollis, M. (006. "Survey of surveys", Emerald Group Publishing Limited, 17(3) :138–142. 16. Hopland, A. O. 2012. "School building conditions and student achievements: Norwegian evidence Department of Economics". Department of Economics, Norwegian University of Science and Technology Norway : 2. 17. Hopland, A. O. 2013. "School Facilities and Student Achievement in Industrial Countries : Evidence from the TIMS", Canadian Center of Science and Education, 6 (3): 162–171. 18. Hopland, A. O. 2015. "How related are technical and subjective measures of building conditions: The case of Norwegian public schools", Department of Business and Management Science, NHH, Norwegian School of Economics, Bergen, Norway, 32 (5/6): 295–306. 19. Kamsari, S. A. 2015. "Unsafe School Building". Utusan Malaysia, 11 March 2015, pp. 3-4. 20. Keith, G. 1987. "Dampness in Buildings". Emerald Group Publishing Limited,1 (2) : 150–154. 21. Krippendorff, K. H. 2004. Content Analysis: An Introduction to Its Methodology.2nd Edition. 22. Lanham, J. W. 1999. Relating Building And Classroom Conditions To Student Achievement in Virginia’s Elementary Schools. Blacksburg, Virginia,. 23. Lewis, R. 2001. "Classroom discipline and student responsibility : the students’ view", Teaching and Teacher Education, 17 (1) : 307–319. 24. Lumpkin, R. B., Jr, R. T. G., Hope, W. C. & Lutfi, G. 2014. "Code Compliant School Buildings Boost Student Achievement", Sage Open, (October-December): 1–8. 25. Ministry of Education Malaysia, 2012. National Education Policy. (Bahagian Perancangan dan Penyelidikan Dasar Pendidikan, Ed.) 3rd Edition. Putajaya: Giga Wise Network Sdn Bhd. 26. Mydin, M. A. O., Salim, N. A. A., Tan, S. W., Tawil, N. M. & Ulang, N. 2014. "Assessment of Significant Causes to School Building Defects", Emerging Technology for Sustainable Development Congress (ETSDC 2014), 3: 1–7. 27. NIOSH. 2012. Preventing Occupational Respiratory Disease from Exposures Caused by Dampness in Office Buildings, Schools, and Other Nonindustrial Buildings. Department Of Health And Human Services Centers for Disease Control and Prevention National Institute for Occupational Safety and Health: 28. 28. Nor Haniza Ishak, Zuraini Md Ali, Yacob Omar, H. A. H. 2000. Case Studies on Timber Defects of Selected Traditional Houses in Malacca. Department of Building Survey ing, Faculty of the Built Environment, University of Malaya: 81–90. 29. Nur Diyana Binti Md.Kasim. 2009. "Building Defect: Case Study at Taman Seri Indah, Pulau Pinang". Faculty of Civil Engineering & Earth Resources Universiti Malaysia Pahang : 25. 30. Olanrewaju, A. A. L. 2012. "Quantitative analysis of defects in university buildings : user perspective". Emerald Group Publishing Limited, 2 (2): 167–181. 31. Reupert, A. & Woodcock, S. 2010. "Success and near misses : Pre-service teachers’ use , confidence and success in various classroom management strategies", Teaching and Teacher Education, 26 (6) : 1261–1268. 32. Sebastian, J. & Allensworth, E. 2012. "Educational Administration Quarterly". Educational Administration Quarterly, 48 (4): 626–663. 33. Selvadurai, S., Liu, O. P., Radzi, M. M., Hoon, O. P. & Tee, O. P. 2015. "Debating education for nation building in Malaysia: National school persistence or vernacular school resistance", Malaysian Journal of Society and Space, 13 (13): 14–23. 34. Sherry Everett Jones, Alisa M. Smith, R. A. A. M. W. 2012. "Results from the School Health Policies and Practices Study", U.S. Department of Health and Human Services Centers for Disease Control and Prevention: 9. 35. Suleman Qaiser and Ishtiaq Hussain. 2014. "Effects of Classroom Physical Environment on the Academic Achievement Scores of Secondary School Students in Kohat Division , Pakistan". Institute of Education & Research, Kohat University of Science & Technology, Khyber Pakhtunkhwa, (Pakistan), 4 ( 1) : 71–82. 36. Tan Wei Chuen. 2008. " Problem of Building Defects". Ministry of Higher Education, 255: pp, 1–5. 37. Tracie, A. D. Y., Stephanie, D. B., Melissa, D., Young-jones, A. D., Burt, T. D., Dixon, S. & Hawthorne, M. J. 2013. "Academic advising: does it really impact student success ", Quality Assurance in Education, 21 (1) : 7–19. 38. Traphagan, T. 2010. "Impact of class lecture webcasting on attendance and learning Springer Link", Educational Technology Research and Development, 58 (1): 19–37. 39. United States of America Department of Education. 2013. U.S. Department of Education Strategic Plan for Fiscal Years 2014 – 2018. Department of Education, U.S. 40. Whiteley, P. 2007. Trends in paints and finishes for buildings. Emerald Group Publishing Limited, December: 4–8. Siti Nooraiin Mohd Razali, Adnan Zainorabidin, Ismail Bakar, Nursyahidah Saedon, Mohamad Niizar Authors: Abdurahman, Mardiha Mokhtar

Paper Title: Shrinkage Behavior of Peat – Polymer Mixtures Abstract: Peat soil is a challenging soil with brownish-black in color, consist of high decomposed organic material, high moisture content (>100%), high compressibility (0.9-1.5), low shear strength (5-20 kPa) and high organic matter (>75%). Peat with high moisture experienced it’s highest decreased of moisture when dried. With the larger shrinkage capacity, the fibrous peat are able to reduce the volume up to 50% following air drying. The objective of this study is to identify the shrinkage behavior of original peat and stabilized peat by using Vinyl Acetate – Acrylic Copolymer (VAAC). In this study, a laboratory investigation was conducted by using bar linear shrinkage and cylindrical sample measurement. This polymer can be used to increase the strength of soil and also able to fill the pore medium thus create water proof surface upon drying. Hence the moisture loss can be control and the shrinkage can be reduced. Results show that the value of original peat shrinkage is 26.17% and 28% for bar linear shrinkage method and cylindrical sample measurement method respectively. After added VAAC mixtures, the shrinkage reduce up to 9% and 12% for both method. Hence, this VAAC polymer can be concluded as a good agent to control the shrinkage problems.

Keywords: Shrinkage, peat, stabilized, polymer

References: 1. Kleimeier, C, F Rezanezhad, P Van Cappellen, and B Lennartz. 2017. “Influence of Pore Structure on Solute Transport in Degraded and Undegraded Fen Peat Soils.” International Mire COnservation Group and International Peatand Society 19(October): 1–9.1. Boelter, D.H. 1968. “Important Physical Properties of Peat Materials.” In Third International Peat Congress, Quebec, Canada, , 150–54. 2. Razali, Siti Nooraiin Mohd, Ismail Bakar, and Adnan Zainorabidin. 2013. “Behaviour of Peat Soil in Instrumented Physical Model Studies.” Procedia Engineering 53: 145–55. http://dx.doi.org/10.1016/j.proeng.2013.02.020. 3. Deboucha, S., Hashim, R., and Alwi, A. 2008. “Engineering Properties of Stabilized Tropical Peat Soils.” EJGE 13. 4. Rezanezhad, Fereidoun et al. 2016. “Structure of Peat Soils and Implications for Water Storage, Flow and Solute Transport: A Review Update for Geochemists.” Chemical Geology 429: 75–84. http://dx.doi.org/10.1016/j.chemgeo.2016.03.010. 5. Price, Jonathan S., and Susanne M. Schlotzhauer. 1999. “Importance of Shrinkage and Compression in Determining Water Storage 6. Changes in Peat: The Case of a Mined Peatland.” Hydrological Processes 13(16 SPEC. ISS.): 2591–2601. 6. Oleszczuk, Ryszard et al. 2003. “Influence of Load on Shrinkage Behavior of Peat Soils.” Journal plant nutr. soil sci. c(166): 220–24. 30-35 7. Oleszczuk, R, and T Brandyk. 2008. “The Analysis of Shrinkage-Swelling Behaviour of Peat-Moorsh Soil Aggregates during Drying- Wetting Cycles.” 6(1): 131–40. 8. Timoney, M.J., McCabe, B.A., and Bell, A.L. 2012. “Experiences of Dry Soil Mixing in Highly Organic Soils.” Proceedings of ICE Ground Improvements 165 (GII): 3–14. 9. Kazemian, Sina, Bujang B K Huat, Arun Prasad, and Maassoumeh Barghchi. 2011. “A State of Art Review of Peat : Geotechnical Engineering Perspective.” 6(8): 1974–81. 10. Yulindasari. 2006. “Compressibility Characteristics of Fibrous Peat Soil.” Msc Thesis, UTM (October). 11. Raghunandan, Mavinakere Eshwaraiah, and Anirudh Subramanya Sriraam. 2017. “An Overview of the Basic Engineering Properties of Malaysian Peats.” Geoderma Regional 11(August): 1–7. https://doi.org/10.1016/j.geodrs.2017.08.003. 12. Wong, L. S, Hashim, R. and Ali, F.H. 2009. “A Review on Hydraulic Conductivity and Compressibility of Peat.” (June). 13. Paivanen, Juhani. 1982. “Physical Properties of Peat Samples in Relation to Shrinkage Upon Drying.pdf.” Silva Fennica 16(3): 247–65. 14. Hamamoto, S, S Dissanayaka, K Kawamoto, and T Komatsu. 2010. “Effects of Moisture Content and Shrinkage on Soil-Thermal Properties for Peat Soils in Japan.” (December): 13–14. 15. Zainorabidin, Adnan, Nursyahidah Saedon, Ismail Bakar, and Nurul Farhana. 2014. “An Investigation of Soil Volume Changes at Four Dimensional Points of Peat Soil Sample in Parit Nipah and Pontian.” In Tropical Soil International Conference on International Integrated Engineering Summit (IIES) 2014, , 2–7. 16. Mohyeddin, M.N., Zainorabidin, A., Madun, A., Yusof, M.F., Mokhtar, M. and Chew, Y.F. 2007. “Some Index Properties on Rengit Peat Soil Stabilize With Cement-Lime Prosiding Kebangsaan Awam 07 ,.” In Prosiding Kebangsaan Awam 07, Langkawi, Kedah, , 29–31. 17. Kolay, P.K., Sii, H. Y., and Taib, S.N.L. 2011. “Tropical Peat Soil Stabilization Using Class F Pond Ash from Coal Fired Power Plant.” International Journal of Civil and ENvironmental ENgineering (3:2): 79–83. 18. Huat, B. B.K. (2004). Organic and Peat Soils Engineering. Universiti Putra Malaysia Press, Serdang, Malaysia, pp. 20-80. 19. Zainorabidin, A., and Bakar I., (2003). Engineering Properties of in-situ and Modified Hemic Peat Soil in Western Johore. 20. In Proceedings of 2nd International Conference on Advances in Soft Soil Engineering and Technology (pp. 252 - 261). Putra Jaya, Malaysia. 21. Atemin, H. H. (2013). A Study on Consolidation and Permeability Properties of Tropical Peat. Master Thesis. UTHM. 22. Saedon, N(2016). Comparative Study of the Shrinkage Characteristics of Peat at South East Johore. Master Thesis. UTHM. 23. Razali, Siti NooraiinMohd (2013) Instrumented physical model studies of the peat soil engineering structure interaction. Masters thesis, Universiti Tun Hussein Onn Malaysia. 24. Zainorabidin, A., (2010). Static and Dynamic Characteristics of Peat with Macro and Micro Structure Perspective. PhD Thesis. UEL. 25. Hashim, R., and Islam, S. 2008. “Engineering Properties of Peat Soil in Peninsular, Malaysia.” Journal of Applied Sciences 8 (22): 4215– 19. Authors: Hamijah Mohd Rahman, Nureize Arbaiy, Chuah Chai Wen, Riswan Efendi Paper Title: Autoregressive Modeling with Error Percentage Spread based Triangular Fuzzy Number Abstract:Data collected by various methods are often prone to uncertainty of measurement which may affect the information conveyed by the quantitative result. This causes the developed predicted model to be less accurate because of the uncertainty contained in the input data used. Hence, preparing the data by means of handling inherent uncertainties is necessary to avoid the developed prediction model to be less accurate. In this paper, the standard autoregressive model is extended to the case where inherent uncertainty exist in the time series data input is handled by triangular fuzzy number. A systematic strategy to construct a symmetry triangular fuzzy number based on percentage error method to build the autoregressive model is presented. Three different spreads of 1%, 3% and 5% are evaluated under percentage error method. This method is applied to forecast the exchange rate of Association of South East Asian Nation (ASEAN) based on time series data. The enhancement made in data preparation of building fuzzy triangles in this study affirms that the proposed method can produce a better accuracy in predicting as compared to the standard auto regressive model. Importantly, the difficulties to build a triangular fuzzy number to treat the fuzziness which is contained in data is addressed. From the result, we could rank the best percentage error spread which gives higher accuracy among 1%, 3% and 5% model.

Keywords:L Autoregressive, Error Percentage, Triangular Fuzzy Number, Uncertainty.

References: 1. Aubinet, M., Vesala, T., &Papale, D. (Eds.). Eddy covariance: a practical guide to measurement and data analysis. Springer Science & Business Media, (2012). 2. Jung, H. Y., Lee, W. J., & Yoon, J. H. A unified approach to asymptotic behaviors for the autoregressive model with fuzzy data. Information Sciences, 257, 127-137, (2014). 7. 3. Ozawa, K., Watanabe, T., &Kanke, M. Fuzzy auto-regressive model and its applications. In Knowledge-Based Intelligent Electronic 36-40 Systems, 1997. KES'97. Proceedings., 1997 First International Conference on (Vol. 1, pp. 112-117). IEEE. (1997). 4. Greco, R. A fuzzy-autoregressive model of daily river flows. Computers & geosciences, 43, 17-23.(2012). 5. Kaku, Y., Kuramoto, K., Kobashi, S., &Hata, Y. Asthmatic attacks prediction considering weather factors based on Fuzzy-AR model. In Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on (pp. 1-4). IEEE. (2012). 6. Carbajal-Hernández, J. J., Sánchez-Fernández, L. P., Carrasco-Ochoa, J. A., & Martínez-Trinidad, J. F. Assessment and prediction of air quality using fuzzy logic and autoregressive models. Atmospheric Environment, 60, 37-50. (2012). 7. Jurado, K., Ludvigson, S. C., & Ng, S. Measuring uncertainty. American Economic Review, 105(3), 1177-1216.(2015). 8. Rahmani, A., HosseinzadehLotfi, F., Rostamy-Malkhalifeh, M., &Allahviranloo, T. (2016). A new method for defuzzification and ranking of fuzzy numbers based on the statistical beta distribution. Advances in Fuzzy Systems, (2016). 9. Dai, X., Liu, J., & Zhang, H. Application of AR model in the analysis of preearthquakeionospheric anomalies. Mathematical Problems in Engineering, (2015). 10. Tseng, F. M., Tzeng, G. H., Yu, H. C., & Yuan, B. J. Fuzzy ARIMA model for forecasting the foreign exchange market. Fuzzy sets and systems, 118(1), 9-19.(2001). 11. Pouzols, F. M., & Barros, A. B. Automatic clustering-based identification of autoregressive fuzzy inference models for time series. Neurocomputing, 73(10-12), 1937-1949. (2010). 12. Anand, M.C.J., &Bharatraj.J. Theory of Triangular Fuzzy Number, proceeding NCATM,(2017). 13. Bezruck, V. M., Belov, Y. N., Voitovych, O. A., Netrebenko, K. A., Tikhonov, V. A., Rudnev, G. A., &Khomenko, S. I. Application of autoregressive model for recognition of meteorological objects. In Radar Symposium (IRS), 2010 11th International. (pp. 1-3). IEEE. (2010) 14. Ganapathy, S., Thomas, S., Motlicek, P., &Hermansky, H. Applications of signal analysis using autoregressive models for amplitude modulation. In Applications of Signal Processing to Audio and Acoustics, WASPAA'09. IEEE Workshop on (pp. 341-344). IEEE.(2009) 15. Efendi, R., Arbaiy, N., &Deris, M. M. A new procedure in stock market forecasting based on fuzzy random auto-regression time series model. Information Sciences; 441, 113-132. (2018) 16. Nureize, A., & Watada, J. Building fuzzy random objective function for interval fuzzy goal programming. In Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on (pp. 980-984). IEEE.(2010) N.A.A. Isa, W.M. Utomo, M. K. R. Noor, M.A.Z.A. Rashid, A.F.H.A. Gani, A.A. Bakar, S.S. Yi, Authors: Iradiatu Diah P K

Paper Title: Performance Between PFC Cuk and Bridgeless PFC Cuk Converter with Various Output Voltages Abstract:This paper presents about the comparison between single-phase PFC Cuk converter and bridgeless PFC (BPFC) Cuk converter for low power application. This study attempts to investigate the characteristics of conventional and bridgeless PFC Cuk converter structures with three different output voltages and verified by the simulation results. The BPFC Cuk converter provides a lower Total Harmonic Distortion (THD) of input current than the conventional PFC Cuk converter. However, the conventional PFC Cuk converter has advantage of less maximum current stress at components compared to the BPFC Cuk converter. Conventional and BPFC Cuk 8. converter can achieve an approximately unity power factor (PF). 41-46

Keywords:Single-switch, conventional, bridgeless, power factor correction, Cuk converter.

References: 1. A. Fardoun, E. H. Ismail, M. A. Al-Saffar, and A. J. Sabzali, “New ‘real’ bridgeless high efficiency AC-DC converter,” in Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC, 2012, pp. 317–323. 2. H. Nene, C. Jiang, and S. Choudhury, “Control for Light Load Efficiency and THD Improvements in PFC Converter,” pp. 1785–1788, 2017. 3. Mangu and B. G. Fernandes, “Efficiency improvement of solar-wind based dual-input Cuk-SEPIC converter for telecom power supply,” IECON Proc. (Industrial Electron. Conf., pp. 978–983, 2012. 4. K. C. Lee and B. H. Cho, “Low cost power factor correction (PFC) converter using delay control,” Power Convers. Conf. - Nagaoka 1997., Proc., vol. 1, no. September, pp. 335–340 vol.1, 1997. 5. H. T. Yang, H. W. Chiang, and C. Y. Chen, “Implementation of Bridgeless Cuk Power Factor Corrector With Positive Output Voltage,” IEEE Trans. Ind. Appl., vol. 51, no. 4, pp. 3325–3333, 2015. 6. H. Z. Azazi, S. M. Ahmed, and A. E. Lashine, “High power factor and regulated output voltage for three-phase AC-DC converter using single-mosfet CUK converter,” 2017 19th Int. Middle-East Power Syst. Conf. MEPCON 2017 - Proc., vol. 2018–Febru, no. December, pp. 43–51, 2018. 7. J. Sabzali, E. H. Ismail, M. A. Al-Saffar, and A. A. Fardoun, “A new bridgeless PFC Sepic and Cuk rectifiers with low conduction and switching losses,” 2009 Int. Conf. Power Electron. Drive Syst., pp. 550–556, 2009. 8. M. Mahdavi, S. Member, and H. Farzanehfard, “Bridgeless SEPIC PFC Rectifier With Reduced Components and Conduction Losses,” IEEE Trans. Ind. Electron., vol. 58, no. 9, pp. 4153–4160, 2011. 9. L. Huber, L. Gang, and M. M. Jovanovi, “Design-Oriented Analysis and Performance Evaluation of Buck PFC Front End,” vol. 25, no. 1, pp. 85–94, 2010. 10. J. Liu, Y. Liu, Y. Zhuang, and C. Wang, “Analysis to input current zero crossing distortion of bridgeless rectifier operating under different power factors,” Energies, vol. 11, no. 9, 2018. 11. M. K. R. Noor et al., “Optimization of PFC SEPIC Converter Parameters Design for Minimization of THD and Voltage Ripple,” Int. J. Eng. Technol., vol. 7, no. 1, pp. 240–245, 2018. 12. S. L. Simonetti, J. Sebastian, and J. Uceda, “The discontinuous conduction mode Sepic and Cuk power factor preregulators: analysis and design,” IEEE Trans. Ind. Electron., vol. 44, no. 5, pp. 630–637, 1997. 13. M. Brkovic and S. Cuk, “Input current shaper using Cuk converter,” [Proceedings] Fourteenth Int. Telecommun. Energy Conf. - INTELEC ’92, pp. 532–539, 1992. 14. R. Z. Detection, Y. Roh, Y. Moon, J. Gong, and C. Yoo, “Active Power Factor Correction ( PFC ) Circuit With,” Power, vol. 26, no. 2, pp. 630–637, 2011. 15. A.A. Fardoun1, E. H. Ismail, A. J. Sabzali, and and M. A. Al-Saffar, “A Comparison between Three Proposed Bridgeless Cuk Rectifiers and Conventional Topology for Power Factor Correction,” 2010 IEEE Int. Conf. Sustain. Energy Technol., pp. 1–6, 2010. Authors: Gohar Rahman, Chuah Chai Wen Paper Title: Man in the Middle Attack Prevention for Edge-Fog, Mutual Authentication Scheme Abstract:Fog computing is considered emerging technology nowadays. Due to proximity to the end user, fog computing provides a reliable transmission with low latency. In this paper, we have proposed an improved mutual authentication security scheme based on advanced encryption standard AES and hashed message authentication code HMAC in fog computing. Our scheme provides mutual authentication between edge devices and fog server in edge fog cloud computing environment. Further, the scheme has the resistance to man in the middle attack in the fog computing environment. Detailed security analyses are summarized.

Keywords:Fog computing, Internet of Things, Mutual Authentication, Man In the Middle Attack.

References: 1. R. Mahmud, R. Kotagiri, and R. Buyya, “Fog computing: A taxonomy, survey and future directions”, In Internet of everything, pp. 103- 130. 2018, Springer, Singapore 2. M. Ketel, “Fog-cloud services for iot”, In Proceedings of the SouthEast Conference, pp. 262-264. 2017, .2April 3. J. Ni, K. Zhang, X. Lin, and X. S. Shen, “Securing fog computing for internet of things applications Challenges and solutions. IEEE Communications Surveys & Tutorials, vol, 20, pp. 601-628, 2017. 4. G. Rahman, and C. Wen, “Fog Computing, Applications, Security and Challenges, Review, International Journal of Engineering & Technology, vol. 7, no.3, pp.1615-1621, 2018. 5. N.A. Abubaker, L. Dervishi., and E. Ayday, “Privacy-preserving fog computing paradigm”, In Communications and Network Security (CNS), 2017 IEEE Conference on pp. 502-509. IEEE 6. K.A.Fakeeh,“Privacy and security problems in fog computing”. Common. Appl. Electron.(CAE), vol.4, no.6, 2016. 7. M. Azam, H, S. Zedeally, and K. A. Harass, “offloading in fog computing in IoT: Review enabling and research opportunities”. Future Generation and Computer System, 2018. 47-53 9. 8. G. Rahman, and C. Wen, “Fog Computing, Applications, Security and Challenges, Review, International Journal of Engineering & Technology, vol. 7, no.3, pp.1615-1621, New York 2018. 9. F.Y. Okay, and S. Ozdemir. “A fog computing based smart grid model”. In Networks, Computers and Communications (ISNCC), International Symposium, 2016, May, pp. 1-6. 10. K.R. Barik, S. K. Gudey, G. G Reddy, M. Pant, H. Dubey, K. Mankodiya, and V. Kumar, “FogGrid: Leveraging Fog Computing for Enhanced Smart Grid Network”, 14TH IEEE India Council International Conference 2017, Dec 15-17, IIT Roorkee India. 11. R. Brzoza-Woch, M. Konieczny, B. Kwolek, P. Nawrocki, T. Szydlo, and K. Zielinski, “Holistic Approach to Urgent Computing for Flood” Decision Support. In ICCS 2015, January, pp. 2387-2396. 12. X. M. Bruin, E. M. Tordera, G. Tashakor, A. Jukan. and G. J. Ren, “Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems”. IEEE Wireless Communications, vol.23, no.5, pp. 120-128, 2016. 13. H. F. Atlam, R. J. Walters. And C. B. Wills, “Fog Computing and the Internet of Things: A Review”. Big Data and Cognitive Computing, , vol.2, no. 2, PP.10, 2018. 14. A. V .Dastjerdi, and R. Buyya, “Fog computing: Helping the Internet of Things realize its potential. Computer, vol.49, no.8, pp. 112-116, 2016. 15. P. More, “Review of implementing fog computing. International Journal of Research in Engineering and Technology, vol.4, no. 6, pp. 335- 338, 2015. 16. I. Stojmenovic, S. Wen, X. Huang. and H. Luan, “An overview of fog computing and its security issues. Concurrency and Computation”: Practice and Experience, vol. 28, no.10, pp.2991-3005, 2016. 17. C. Dsouza, G. J .Ahn, and M .Taguinod, “Policy-driven security management for fog computing: Preliminary framework and a case study”. In Information Reuse and Integration (IRI), 2014 IEEE 15th International Conference on, 2014, August pp. 16-23. IEEE. 18. M. H. Ibrahim, “Octopus: An Edge-fog Mutual Authentication Scheme”, IJCN Network Security, vol. 18, no.6, pp.1089-1101, 2016. 19. A. B. Amor, M. Abid, and A. Meddeb, “A Privacy-Preserving Authentication Scheme in an Edge-Fog Environment. In Computer Systems and Applications” 2017, October. 20. Padmapriya, T., Manikanthan, S.V. LTE-A intensified voice service coder using TCP for efficient coding speech. International Journal of Innovative Technology and Exploring Engineering. 2019 Siti Nooraiin Mohd Razali, Masiri Kaamin, Tay Qian Xin, Hew Siew Wai, Abdul Muhaimin Karim, Authors: Nor Farah Atiqah Ahmad, Suhaila Sahat, Norhayati Ngadiman, Amir Khan Suwandi Paper Title: Modeling of UTHM (Pagoh): 3D Building Models in Google Earth Utilizing Sketch Up Abstract:The main argument is shifting from 2D to 3D is in the beginning stages and creating 3D building is not trivial but a complex process. 3D building can be combined with the maps on Google Earth to provide geological knowledge. The location details in Google Map in Satellite view are not up to date. The map’s image shown in 2D mapping modelling should be substituted by 3D modelling to provide clearer visual view of the location. The main objective in this project is to construct an interactive 3D model of UTHM campus Pagoh that provide latest

information about the developed building in UTHM Pagoh on Google Earth. Unmanned Aerial Vehicles (UAV) has to be launced to collect footage of UTHM campus Pagoh and continue 3D modeling by using SketchUp software. Sketch up is one of the modelling software that employed to construct 3D building. The building of UTHM campus Pagoh models is presented in visual video. Lastly, 3D building was merged onto Google Earth and a visualization video is made to demonstrate the UTHM campus Pagoh in the context of real life scene.

Keywords:3D building, Sketch Up, Google Earth, UAV

References: 1. L. Ouyang and R. Jiang, The Analysis and Research of Visual Perception and Image Processing in Visual Information Design- Take Google Earth for Example. Huazhong Normal University, Wuhan, China.. 2. F. Remondino and S. El-Hakim, "Image-based 3D Modelling: A Review.," The Photogrammetric Record, vol. 21, no. 115, pp. 269-291, 2006. 3. S. Hermon, Three Dimensional Visualization and Virtual Reality in the Research and Interpretation of Archaelogical Data., 2014. 4. X. Yin, Z. Lin and C. Li, Reconstruction of building from a single UAV image.. 10. 5. T. Honjo, K. Umeki, E. Lim, D. Wang, P. Yang and H. Hsieh, Landscape Visualisation on Google Earth. 2009 Plant Growth Modeling and 54-58 Application., 2009. 6. M. McNAbb, "What is the difference between 3D Medeling and 3D Mapping," 2017. [Online]. Available: https://dronelife.com/2017/04/18/whats-difference-3d-modeling-3d-mapping/ . [Accessed 2 October 2018]. 7. Y. Lian, J. Law and Y. Tan, Production of Orthographic Map Using UAV Photogrammetry: A Case Study in UTHM Pagoh Campus., 2017. 8. H. Saari, A. T., C. Holmlund, J. Maksyen, K., Ojala, H. Toivanen, I. Pellikka, S. Tuominen, L. Pesonen and J. Heikkila, Unmanned Aerial Vehicle (UAV) Operated Spectral Camera System for Forest and Agriculture Application., 2011. 9. E. H., A Mini Unmanned Aerial Vehicle (Uav): System Overview and Image Acquisition., 2004. 10. Z. Wu, "The Application of SketchUp in Architectural Design Teaching in Higher Vocational Education. International Core Journal of Engineering," vol. 2, no. 12, 2016. 11. T. N. Limited, "SketchUp," [Online]. Available: https://www.sketchup.com . [Accessed 2 October 2018]. 12. M. Lubis, W. Anurogo, O. Gustin, Andi, A. Hanafi, D. Timbang, F.Rizki, D. Saragih, I. Kartini, H. Panjaitan, M. Yanti and H.M.Taki, "Interactive modelling of buildings in Google Earth and GIS: A 3D tool for Urban Planning (Tunjuk Island, Indonesia)," vol. 1, no. 2, 2017. 13. Faiztyan, R. Isnanto and D. Widianto, "Perancangan dan Pembuatan Aplikasi Visualisasi 3D Interaktif Masjid Agung Jawa Tengah Menggunakan Unity3D," vol. 3, no. 2, 2016. 14. Y. Shen, L. Lin and G. Renzhong, "Building 3D Cadastral System Based on 2D Survey Plans with SketchUp. Geo-Spatial Information Science," vol. 14, no. 2, pp. 129-136, 2011. 15. J.-K. Lankhorst, "Visualization tool for (landscape) architects," vol. 19, no. 4, pp. 188-192, 1987. 16. S. Sheppard and P. Cizek, "The ethics of Google Earth: Crossing thresholds from spatial data to landscape visualization. Journal of environmental management," vol. 90, no. 6, pp. 2102-2117, 2009. 17. S. Horna, D. Meneveaux, G. Damiand and Y. Betrand, "Consistency Constraints and 3D Building Reconstruction.," Computer-Aided Design 41, pp. 13-27, 2008. 18. F. Nex and F. Remondino, UAV for 3D Mapping Aplications: A Review, 2014. Authors: Rawia Mohamed- Najeeb Abu amr, Waidah Ismail, Lailatul Qadri Zakaria, Nurzi Juana Mohd Zaizi, Roesnita Ismail, Mahadi Bahari, Maryati Mohd. Yusof

Paper Title: Horn Clause Techniques in Rehabilitation Clinic for Return to Work Abstract:Rehabilitation therapy aims to enable disabled patients to maintain optimal functioning upon achieving return-to-work (RTW) approval. The Berg Balance Scale (BBS) is a benchmark for activity accomplishment featured in the International Classification of Functioning, Disability and Health Framework (ICF). The ICF is used by physiotherapist (PT) and occupational therapist (OT) to determine the functional mobility of disabled patient. Conventionally, practitioners measure, record, and analyze assessment results manually which resulting in difficulty in predicting patient progression. The large data volume involved in the RTW process requires synthesize and reasoning for decision making purposes. Thus, there is a need to identify an efficient reasoning technique to facilitate the decision making process. This study highlights the use of Horn Clause in decision tree to 11. assist medical doctor in assessing improvement of RTW approved patient based on the BBS assessment. The Horn Clause is one of the fundamental reasoning techniques applied in various domains including healthcare. The next 59-63 phase of this study is to test the efficiency of the Horn Clause reasoning based on patient’s stroke recovery and spinal cord injury.

Keywords:Berg Balance Scale (BBS), Decision tree, Horns Clause, Rehabilitation therapy, Return-to-work (RTW).

References: 1. Olaleye O.A., Hamzat T. K., Owolabi M. O.: Stroke rehabilitation: should physiotherapy intervention be provided at a primary health care centre or the patients place of domicile? Disability and Rehabilitation. 36, 49–54 (2014). 2. Teasell, R., Meyer M. J., McClure, A., Pan, C., Murie-Fernandez, M., Foley, N., Salter, K. Stroke rehabilitation: an international perspective. Topics in Stroke Rehabilitation. 16, 44–56 (2009). 3. Arredondo, R., Garcia, D. A., Morris, M., Tosunoglu, S.: A review of rehabilitation strategies for stroke recovery. ASME Early Career Technical Journal. 11, 24–31(2012). 4. https://www.perkeso.gov.my/index.php/en/accordion-b/program-return-to-work,2016, (accessed 2019). 5. Ming, Z., Wang, G., Yan, Y., Panchal, J. H. Goh, C. H., Allen, J. K., Mistree, F.: Ontology-Based Representation of Design Decision Hierarchies. Journal of Computing and Information Science in Engineering. (2017). doi: 10.1115/1.4037934. 6. Roussey, C., Pinet, F., Kang, M. Corcho, O.: An Introduction to Ontologies and Ontology Engineering Catherine. In Falquet, G., Métral, C., Teller, J., Tweed, C. (pnyt). Ontologies in Urban Development Projects. pp. 9-38. London: Springer-Verlag (2011). 7. Vasconcelos, J. B., Kimble, C., Rocha, Á.: Competence management in knowledge intensive organizations using consensual knowledge and ontologies. Information Systems Frontiers. 18(6). doi: 10.1007/s10796-016-9627-0. (2016) 8. Abas, H. I., Yusof, M. M., Mohd Noah, S. A.: The application of ontology in a clinical decision support system for acute postoperative pain management. In: International Conference on Semantic Technology and Information Retrieval, STAIR 2011. pp. 106-112 (2011). 9. M. Uschold, “Ontology and database schema : What ’ s the difference ?,” vol. 10, pp. 243–258, 2015. 10. Thuan, N. H. Antunes, P., Johnstone, D.: A Decision Tool for Business Process Crowdsourcing: Ontology, Design, and Evaluation. Group Decision and Negotiation. pp. 1–28 (2018). 11. L. Subirats and L. Ceccaroni, “An ontology for computer-based decision support in rehabilitation,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011. 12. V. E. Robles-bykbaev, D. Quisi-peralta, and U. Polit, “An ontology-based expert system to generate therapy plans for children with disabilities and communication disorders,” 2016. 13. L. Subirats and L. Ceccaroni, “An ontology for computer-based decision support in rehabilitation,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011. 14. Afandi, R. R., Radman, A., Bahari, M., Zakaria, L. Q., Mustapha, M., Ismail, W.: Ontology Development in Patients Information System for Stroke Rehabilitation. In: 8th International Conference on Biomedical Ontology (2017). 15. N. Shoaip, S. El-sappagh, S. Barakat, and M. Elmogy, Chapter 4 - Reasoning methodologies in clinical decision support systems: A literature review. Elsevier Inc., 2019. 16. X.-O. Ping, Y.-J. Tseng, Y.-P. Lin, H.-J. Chiu, F. Lai, J.-D. Liang, G.-T. Huang, P.-M. Yang, A multiple measurements case-based reasoning method for predicting recurrent status of liver cancer patients, Comput. Ind. 69 (2015) 12–21. 17. Y. Shen, J. Colloc, A. Jacquet-Andrieu, K. Lei, Emerging medical informatics with casebased reasoning for aiding clinical decision in multi-agent system, J. Biomed. Inform. 56 (2015) 307–317. 18. C.-Y. Wang, J.-T. Tsai, C.-H. Fang, T.-F. Lee, J.-H. Chou, Predicting survival of individual patients with esophageal cancer by adaptive neuro-fuzzy inference system approach, Appl. Soft Comput. 35 (2015) 583–590. 19. J. D. Summers, “DETC2005-85334 REASONING IN ENGINEERING DESIGN,” no. January 2005. 20. T. F. Gordon and H. Friedrich, “Representing Argumentation Schemes with Constraint Handling Rules ( CHR ).” Canadian Social Sciences and Research Council (SSHRC) in the Carneades project, by Microsoft, in the DUCK project, and by the European Union Horizon 2020 research and innovation programme under grant agreement No 732189 in the AEGIS project.2018. 21. R. A. I. Iqbal, “Hybrid Clinical Decision Support System : An Automated Diagnostic System For Rural,” 2012. Authors: Muhammad Mahmud, Azman Yasin, Mazni Omar Paper Title: Metamodeling to Ontology Conversion with Social Media Influence in Flood Management Domain Abstract:Disaster is an unpredictable event unknowingly to human being when and where it will happen. Nevertheless, early precautions can be made by initiating Disaster Management (DM) to reduce losses and destructions that may arise. Based on the impact seen from recent events globally, DM has been a focus area constantly developing and evolving. Leveraging emerging technologies such as social media can improve actionable intelligence in Situational Awareness aspect. Among other meteorological events, flood has been the most common natural disaster by far, cumulating in total 43% out of all disaster phenomenon from the last 20 years. However, in DM perspective, flood is still informally represented to enable information exchange and comprehensive flood management activities. To address both issues, this study will further extend existing Disaster Management Metamodel (DMM) with social media concepts and designs Flood Management by applying metamodeling process with UML class diagram since it has been well known by domain experts. Still, class

diagram unable to cater applications that relies on processing content of information instead of visualization only.

This limitation is overcome by transforming the metamodeling source into ontology format which elevates the

expressiveness, meaning, and delivering more structured information among human or software agents. The reconstructed design of DMM successfully identifies new concepts generally and for flood domain. After running the mapping algorithm, the generated ontology is validated with Protégé to ensure the markups are persistence with the latter.

Keywords:Flood Management Knowledge, Metamodel, Ontology, OWL, UML Class Diagram, Social Media.

References: 1. Abdelaziz, T., & Zakaria, E. (2014). Construction of a domain ontology from the conceptual data models. 2. Alsaedi, N., Burnap, P., & Rana, O. (2015). Identifying Disruptive Events from Social Media to Enhance Situational Awareness. 12. Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM 64-70 ’15, (November), 934–941. https://doi.org/10.1145/2808797.2808879 3. Atmanand. (2003). Insurance and disaster management: The Indian context. Disaster Prevention and Management: An International Journal, 12(4), 286–304. https://doi.org/10.1108/09653560310493105 4. Bahaj, M., & Bakkas, J. (2013). Automatic Conversion Method of Class Diagrams to Ontologies Maintaining Their Semantic Features. International Journal of Soft Computing and Engineering (IJSCE), (6), 65–69. 5. Belghiat, A., & Bourahla, M. (2012). An Approach based AToM3 for the Generation of OWL Ontologies from UML Diagrams, 41(3), 41– 48. 6. Bosher, L., Andrew Dainty, Patricia Carrillo, & Glass, J. (2007). Built-in resilience to disasters : a pre-emptive approach. Engineering, Construction and Architectural Management, 14(5), 434–446. 7. Calton, P., & Masaru, K. (2013). Big Data and Disaster Management A Report from the JST / NSF Joint Workshop. Technical Report No. GIT-CERCS-13-09; Georgia Institute of Technology, CERCS., (May), 28. Retrieved from https://grait-dm.gatech.edu/wp- content/uploads/2014/03/BigDataAndDisaster-v34.pdf 8. Cameron, M. A., Power, R., Robinson, B., & Yin, J. (2012). Emergency situation awareness from twitter for crisis management. Proceedings of the 21st International Conference Companion on World Wide Web - WWW ’12 Companion, (September 2014), 695. https://doi.org/10.1145/2187980.2188183 9. Davis, P. K., & Bigelow, J. H. (2002). Motivated Metamodels. Proceedings of The 2002 PerMIS Workshop, (February). 10. Deshmukh, Ravindra, Lewlyn L. R. Rodrigues, G. R. K. (2008). Earthquake Risk and Knowledge Management. Journal of Knowledge Management Practice, 9(3), 376–390. https://doi.org/10.3846/ijspm.2010.28 11. Dickinson, I. (2004). Implementation experience with the DIG 1.1 specification. Filton Road, Stoke Gifford, Bristol, UK, BS34 8QZ: Semantic and Adaptive Systems Dept, HP Labs Bristol. 12. Eriksson, H., & Penker, M. (2000). Business Modeling With UML. Business Patterns at Work, 12. https://doi.org/978-0471295518 13. Gill, A., Bunker, D., & Gill, A. Q. (2012). Association for Information Systems AIS Electronic Library (AISeL) Crowd Sourcing Challenges Assessment Index for Disaster Management Crowd Sourcing Challenges Assessment Index for Disaster Management, (1). Retrieved from http://aisel.aisnet.org/amcis2012%0Ahttp://aisel.aisnet.org/amcis2012/proceedings/EGovernment/21 14. Goodchild, M. F. (2007). CITIZENS AS SENSORS: THE WORLD OF VOLUNTEERED GEOGRAPHY 1 Michael F. Goodchild. Geojournal, 69(4), 1–15. 15. Harmelen, G., & Antoniou Frank van. (1993). Web Ontology Language: OWL. https://doi.org/10.1145/1295289.1295290 16. Jauro, F. (2014). Design And Implementation Of Falcon-AO++: An Improved Ontology Alignment System. Ahmadu Bello University, Zaria. Retrieved from http://kubanni.abu.edu.ng:8080/jspui/handle/123456789/5623 17. Jha, A. K., Barenstein, J. D., Phelps, P. M., Pittet, D., & Sena, S. (2010). Safer Homes, Stronger Communities. Construction. https://doi.org/10.1596/978-0-8213-8045-1 18. Levendovszky, T., Rumpe, B., & Sprinkle, J. (2010). Model-Based Engineering of Embedded Real-Time Systems (Vol. 6100). https://doi.org/10.1007/978-3-642-16277-0 19. Lloyd-Jones, T., Kalra, R., Mulyawan, B., & Theis, M. (2009). The Built Environment Professions in Disaster Risk Reduction and Response. Max Lock Centre at the University of Westminster. https://doi.org/10.1103/PhysRevLett.90.138102 20. Matar, A. (2017). Enhancing Situational Awareness and Communication During Flood Crisis Events Using Social Media Framework : The Case of Bosnia and Herzegovina, (May), 1–320. 21. Mellor, S. J. (2002). Executable UML: a foundation for model-driven architecture. Addison-Wesley Professional, 1–9. 22. Moe, T. L., Gehbauer, F., Senitz, S., & Mueller, M. (2007). Balanced scorecard for natural disaster management projects. Disaster Prevention and Management: An International Journal, 16(5), 785–806. https://doi.org/10.1108/09653560710837073 23. Munich, R. (2013). Münchener Rückversicherungs-Gesellschaft. Geo Risiko Forschung, NatCatSERVICE. 24. Othman, S. H. (2013). Supporting Domain Ontology through a Metamodel: A Disaster Management Case Study. In R. M. Colomb (Ed.), Ontology-Based Applications for Enterprise Systems and Knowledge Management (1st ed., pp. 191–209). USA: IGI Global. https://doi.org/10.4018/978-1-4666-1993-7.ch011 25. Othman, S. H., & Beydoun, G. (2012). Evaluating disaster management knowledge model by using a frequency-based selection technique. Lecture Notes in Computer Science, 21–27. 26. Othman, S. H., Beydoun, G., & Sugumaran, V. (2014). Development and validation of a Disaster Management Metamodel (DMM). Information Processing and Management, 50(2), 235–271. https://doi.org/10.1016/j.ipm.2013.11.001 27. Palen, L., & Hiltz, S. R. (2007). Online Forums Supporting Grassroots Participation in Emergency Prepardness and Response, (June 2014). https://doi.org/10.1145/1226736.1226766 28. Poblet, M., Garcia-Cuesta, E., Casanovas, P., García-cuesta, E., & Casanovas, P. (2014). Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods. AI Approaches to the Complexity of Legal Systems, 8929(Ccc), 261–274. https://doi.org/10.5751/ES-05263-170431 29. Porto de Albuquerque, J., Horita, F. E. A., Degrossi, L. C., Rocha, R. dos S., Camargo de Andrade, S., Restrepo-Estrada, C., & Leyh, W. (2017). Leveraging Volunteered Geographic Information to Improve Disaster Resilience, (March), 158–184. https://doi.org/10.4018/978-1- 5225-2446-5.ch009 30. Rahmat, N. A., Hagishima, A., Ikegaya, N., & Tanimoto, J. (2016). An experimental study on aerodynamic interaction between a boundary layer generated by a smooth and rough wall and a wake behind a spire. Engineering Sciences Reports, 37(2), 19–26. 31. Seneviratn, K., Chaminda Pathirage, Dilanthi Amaratunga, & Richard Haigh. (2011). Disaster knowledge factors: benefits and challenges. https://doi.org/10.1227/01.neu.0000467148.96632.84 32. Slamet, C., Rahman, A., Sutedi, A., Darmalaksana, W., Ramdhani, M. A., & Maylawati, D. S. (2018). Social Media-Based Identifier for Natural Disaster. IOP Conference Series: Materials Science and Engineering, 288(1). https://doi.org/10.1088/1757-899X/288/1/012039 33. Tang, J., Alelyani, S., & Liu, H. (2014). Feature selection for classification: A review. Data Classification: Algorithms and Applications, 37–64. https://doi.org/10.1201/b17320 34. Underwood, S. (2010). Improving disaster management. Communications of the ACM, 53(2), 18. https://doi.org/10.1145/1646353.1646362 35. Wallemacq, P., Guha-Sapir, D., McClean, D., CRED, & UNISDR. (2015). The Human Cost of Weather Related Disasters - 1995 - 2015. 36. Xu, Z., Ni, Y., He, W., Lin, L., & Yan, Q. (2012). Automatic extraction of OWL ontologies from UML class diagrams: A semantics- preserving approach. World Wide Web, 15(5–6), 517–545. https://doi.org/10.1007/s11280-011-0147-z 37. Yates, D., & Paquette, S. (2011). A case study of the 2010 Haitian earthquake. International Journal of Information Management, 31(1), 6– 13. https://doi.org/10.1016/j.ijinfomgt.2010.10.001 Nor Baizura Hamid, Siti Noraiza Binti Ab Razak, Mohd Erwan Sanik, Mardiha Mokhtar, Suhaila Authors: Sahat, Masiri Kaamin, Mohd Zakwan Ramli

Paper Title: Application of Seismic Resisting Systems for Building Construction in Malaysia Abstract:Over the centuries, there has been a lot of earthquakes occur due to sudden changes in the surface of the earth. This phenomenon has caused property destruction, a large number of deaths and damage to buildings. This situation has become a concern by experts, especially engineers around the world since the damage of the building 13. caused huge losses as well as contributing to the loss of life due to burial and so forth. Therefore, this study is 71-75 conducted to compare the changes of node displacement that occur in each designed buildings caused by the seismic load applied and to determine the best design system that has the smallest amount of node displacement changes during the quake. In this study, three types of model that consist of base frame, shear wall and braced frame are designed using STAAD Pro Software to obtain their displacement reading. Important data such as seismic parameters and load cases which is Zone factor: 0.24, Response reduction factor: 5, Importance factor: 1.5, Structure type: Concrete, Damping: 0.05, Foundation soil type: Medium, Dead load intensity at all floor levels: 6kN/m2, Live load for roof: 1.5kN/m2 and Live load for other floors: 3kN/m2 are inserted. The strength of resistance toward seismic load between the three models can be evaluated through the displacement occurs in the nodes in every model.

Keywords:Node displacement, base frame, shear wall, braced frame

References: 1. Endah Wahyuni (2015). "Vulnerability Assessment of Reinforced Concrete Building Post- 2. Earthquake," 2nd International Seminar on Ocean and Coastal Engineering, Environment and Natural Disaster Management, ISOCEEN. 3. Fauziah Kassim, A. Marto, C.S. Tan, N. Z. M. Yunus (2013), “Seismic Impact In Peninsular Malaysia,” The 5th International Geotechnical Symposium-Incheon, pp. 22-24. 4. Dr. Jeffrey Chiang and M. C. Hee (2008). Technical Review of JKR’s "Handbook on Seismic Design Guidelines for Concrete Buildings in Malaysia. Jurutera. Seismic Guidelines Malaysia. pp.26-28 5. Felix Tongkul (2016). The 2015 Ranau Earthquake: Cause and Impact. Sabah Society Journal, 32, pp.1-28 6. Sameh A. El-Betar. (2016). Seismic Vulnerability Evaluation of Existing R.C. Buildings. Housing and Building National Research Center HBRC Journal.14, 189-197. 7. C.V.R. Murty, Rupen Goswami, A. R. Vijayanarayanan and Vipul V. Mehta (2012). Some Concepts in Earthquake Behaviour of Buildings. Gujarat State Disaster Management Authority, Government of Gujarat. 8. Jack P. Moehle (2013). Displacement-Based Seismic Design Criteria. Eleventh World Conference on Earthquake Engineering. Richmond, USA: Paper No.2125 9. Ali Kaveh and Pooya Zakian (2014).Optimal Seismic Design of Reinforced Concrete Shear Wall-Frame Structures. KSCE Journal of Civil Engineering. 18(7), 2181-2190. 10. M.D Kevadkar and P. B. Kodag (2013). Lateral Load Analysis of R.C.C. Building. International Journal of Modern Engineering Research (IJMER). 3(3), 1428-1434. 11. Dr. K. V. G. Balaji and K. Lova Raju (2015). Effective location of Shear Wall on performance of building frame subjected to earthquake load. International Advanced Research Journal in Science, Engineering and Technology. 2(1). 12. Timothy P. McCormick (2009). P.E, Seismic Retrofit Training. ABAG, The Association of Bay Area Governments. 2(1). 13. Massumi and Absalan (2013). Interaction between Bracing System and Moment Resisting Frame In Braced RC Frames. Archives of Civil and Mechanical Engineering. 2013. 13(2):260-268. 14. Zasiah Tafheem and Shovona Khusru (2015). Structural behavior of steel building with concentric and eccentric bracing: A comparative study. International Journal of Civil and Structural Engineering. 6(2), 140-147. 15. Dhananjay. S. Pawar, S. Abdulla U. Phadnis, Raju. S. Shinde, Yugandhar. N. Jinde (2015). Analysis of multistoried Braced Frame subjected to seismic and gravity loading. International Journal of Engineering Research and Applications. ISSN : 2248-9622, 5(3), pp. 46- 50. 16. S. K. Madan, R. S. Malik, V. K. Sehgal (2015). Seismic Evaluation with Shear Walls and Braces for Buildings. World Academy of Science, Engineering and Technology International Journal of Computer and Information Engineering, Vol 9. Authors: Nurul Faradila binti Sambas, Lavania Baloo, AP. Zahiraniza Mustaffa Rainwater Harvesting with Subsequent First Flush: Water Quality Performance for Non-Potable Paper Title: Purpose Abstract:In the framework of enhancing water resource management, the Rainwater Harvesting (RWH) system has been recognized as one of the potential solution to mitigate water crisis issues. This paper aimed to study the water quality analysis of RWH system with subsequent flushes devices; in terms of its efficiency and practicality for non-potable purposes such as irrigation and toilet flushing. The project is also meant to identify the ideal volume among the five (5) FF devices installed; to be flushed away in order for the harvested rainwater to be usable for non-potable activities (i.e. irrigation, industry and toilet flushing). A RWH model were mounted on a wall of an existing store building at Universiti Teknologi PETRONAS (UTP), Perak. A total of eight (8) rain events (set of readings) were analysed. The nine (9) parameters monitored are: pH, turbidity, dissolved oxygen (DO), total suspended solids (TSS), total coliforms (TC), chemical oxygen demand (COD), total nitrogen (TN), ammonia and nitrate. For physical water quality parameters; pH, turbidity, DO and TSS, the final reading ranges were 4.60~8.37, 0.41~1.52 NTU, 7.60~9.44 mg/L and 0~40 mg/L, respectively. Chemical parameters such as COD, TN, ammonia and nitrate were in the ranges of 0~32 mg/L, 4~12 mg/L, 0.11~0.95 mg/L and 0~1.4 mg/L, respectively. Meanwhile the biological parameter which is the TC was in the range between 0~358.5 MPN. Based

on the calculations, it is deduced that a minimum of 1.02 mm of rainfall of total 10.5 mL from FF1 to FF3 is needed to be flushed away; ensuring only better quality of rainwater being stored. The FF method is very

important in the application of RWH system because it diverted the first flow of rainfall that is expected to be the most contaminated. The RWH system with subsequent FF devices is suitable for non-potable purpose. Upon 14. further treatment and model modification, the harvested rainwater shall fit for potable use. 76-79 Keywords:Subsequent first flush, hydraulic model, rainwater harvesting, environmental engineering

References: 1. ‘Iklim Malaysia’. (2017). Malaysian Meteorological Department. Retrieved from http://www.met.gov.my/web/metmalaysia/118?doAsUserId=LKnQ9mVxawU%3D 2. “Beberapa kawasan di lembah Klang terjejas bekalan air”. (2018, Mar 03). Berita Astro Awani. Retrieved from http://www.astroawani.com/berita-malaysia/beberapa-kawasan-di-lembah-klang-terjejas-bekalan-air-169487 3. Department of Irrigation and Drainage Malaysia (DID), (2010). Rainwater Harvesting System. Retrieved from http://www.water.gov.my/our-services-mainmenu-252/urban-stormwater/sistem-penuaian-air-hujan-spah-mainmenu-965?lang=en. 4. Atsali, G., Katrinakis, D., Panagiotakis, S., Despina, A., Kalochristianakis, M., Manios, T., and Malamos, A., (2013). First Flush rainwater harvesting application with Fuzzy Logic control. Technological Educational Institute of Crete, Heraklion, Greece. 5. Fayez A. A. & A. W. Al-Shareef. (2008), Roof rainwater harvesting systems for household water supply in Jordan. Desalination, 243, 195- 207. Retrieved from http://www.sciencedirect.com/science/article/pii/S0011916409002677 6. Martinson, D. B. and Thomas, T. H., (2009). Quantifying the First Flush Phenomenon: Effects of First-Flush on water yield and quality. th 7. Ariyananda, T.N. 1999. Rainwater Harvesting for Domestic Use in Sri Lanka, 25 WEDC Conference. Ethiopia: Addis Ababa, Ethiopia, 369-372. 8. Coombes, P.J., Argue, J.R., Kuczera, G., (1999). Figtree place: a case study in water sensitive urban design (WSUD). Urban Water 1, 335– 343. 9. Vasudevan P. ,Tandon M., Krishnan C. and Thomas T. (2001). Bacteriological Quality of Water in DRWH. Proceeding of workshop on Rain water harvesting, IIT Delhi, April 2001. 10. Che-Ani A.I., Shaari N., A. Sairi., M. F. M. Zain. & M. M. Tahir. (2009). Rainwater Harvesting as an Alternative Water Supply in the Future. European Journal of Scientific Research, 34, 132-140. Retrieved from https://www.researchgate.net/profile/A_Che- Ani/publication/237821822_Rainwater_Harvesting_as_an_Alternative_Water_Supply_in_the_Future/links/00b4952def39b1b6c4000000 11. Jones M. P. & Hunt W.F. (2009). Performance of rainwater harvesting systems in the southeastern United States. Resources, Conservation and Recycling, 53, 623-629. Retrieved from http://www.sciencedirect.com/science/article/pii/S0921344909002547 12. Athavale, R.N. (2003). Water harvesting and sustainable supply in India. Environment & Development Series, India: Centre for Environment Education. Retrieved from https://books.google.com.my/books?id=bxK7ahcY1WsC&pg=PA320&lpg=PA320&dq=Water+harvesting+and+sustainable+supply+in+In dia.+Environment+%26+Development+Series,+India 13. Palla A., Gnecco I., & Barbera P. L. (2017). The Impact of Domestic Rainwater Harvesting Systems In Storm Water Runoff Mitigation At The Urban Block Scale. Journal of Environmental Management, 191, 297-305. Retrieved from http://www.sciencedirect.com/science/article/pii/S0301479717300439 14. Aladenola O. O. & Adeboye O. B. (2009). Assessing the Potential of Rainwater Harvesting. Water Resource Manage, 24, 2129-2137. Retrieved from http://www.springerlink.com/index/7T341503618JW51L.pdf 15. Ministry of Housing and Local Government (MHLG), (2008). Guidelines for Installing a Rainwater Collection and Utilization 1999. Edited by: MHLG. Unpublished article. [15] Farreny R., Gabarrell X. & Rieradevall J. (2011). Cost-efficiency of rainwater harvesting strategies in dense Mediterranean neighbourhoods. Resource, Conservation and Recycling, 55, 686-694. Retrieved from http://www.sciencedirect.com/science/article/pii/S0921344911000103 16. Water Resources Agenda in Malaysia (2012, Nov 26) Department of Irrigation and Drainage Malaysia. Malaysia Water Resources Management Forum 2012. 17. Farreny R., Gabarrell X. & Rieradevall J. (2011). Cost-efficiency of rainwater harvesting strategies in dense Mediterranean neighbourhoods. Resource, Conservation and Recycling, 55, 686-694. Retrieved from http://www.sciencedirect.com/science/article/pii/S0921344911000103 18. Lee J.Y., Yang J.S., Han M. & Choi J. (2010). Comparison of the microbiological and chemical characterization of harvested rainwater and reservoir water as alternative water resource. Science of the Total Environment, 408, 869-905. Retrieved from http://www.sciencedirect.com/science/article/pii/S0048969709010894 19. ‘Malaysian water industry’, (2016). Retrieved from https://www.export.gov/article?id=Malaysia-Water-Industry 20. ‘Work together to resolve water issues' (2016, Apr 7) New Straits Times. Retrieved from http://gedung1nahrim.nahrim.gov.my/WebPages/ViewReport.aspx?met=RP&smet=WR&appID=14 21. “Current Population Estimates, Malaysia, 2017-2018”. (2018) Department of Statistics Malaysia (DSM) 22. N.A. (2010 Jul 22). Selangor, KL and Putrajaya face risk of water shortage by 2014. The Star Online. 23. ‘Sivanavandam, H. (2016, Aug 14). Country facing serious water risks. The Star Online. 24. Lai, A. (2017, July 20). MB: Put in rainwater harvesting system for future developments. The Star Online. 25. A. Jalil, H. (2018, Mar 11). Selangor’s dangerous politics of water. New Straits Times. 26. ‘Session 1 Water Resources Management’. (2014 Aug 26). Department of Irrigation and Drainage. Retrieved from http://gabfoundation.org/business_programme/upload/Session_1_WATER_RESOURCES_MANAGEMENT.pdf Authors: Md Yusof A. H, Abd Gani S. S, Zaidan U. H, Halmi M. I. E, Abdul Wahab N Optimization of Central Composite Design of Ferric Reducing Antioxidant Power from Cocoa Paper Title: (Theobroma cacao) Shell using Ultrasound-assisted Technique Abstract:Cocoa (Theobroma cacao) shell is waste product discarded from the cocoa industry. About 75% of cocoa fruit is waste. Inthe present study, antioxidant assay (ferric reducing antioxidant power) for cocoa shell was optimized by response surface methodology with three factors and five levels of the model. The factorswere set at solvent percentages (70-90%), temperatures (45-65°C), and ultrasound irradiation times (30-60 minutes at a constant frequency of 40 kHz. Optimum conditions were established at 70%, 65°C,and 30 minutes respectively, at a concentration of 1.41±0.01 µmoles/L. The analysis of variance (ANOVA)revealed that the coefficient of determination (R2) was 0.9650 at an optimum concentration of1.41±0.01 µmoles/L. Under these conditions, the predicted value was established at1.37, slightly lower than the experimental value. However, the data fit the model with significance at p<0.0001 and lack of fit test at p = 0.5091. The study confirmed that the model equation could be used to predict future observation within the model design range.

15. Keywords:antioxidant, cocoa shells, ferric reducing antioxidant power, response surface methodology, ultrasound 80-84 -assisted technique.

References: 1. R. Mittler, ros are good trends. Plant sci. 22 (2017) 11–19. doi:10.1016/j.tplants.2016.08.002. 2. I. Romieu, N. Kunzli, J. Sunyer, Air pollution, oxidative stress and dietary supplementation: A Review, 31 (2008) 179–196. doi:10.1183/09031936.00128106. 3. S. Reuter, S.C. Gupta, M.M. Chaturvedi, B.B. Aggarwal, Oxidative stress, inflammation, and cancer: How are they linked?, Free Radic. Biol. Med. 49 (2010) 1603–1616. doi:10.1016/j.freeradbiomed.2010.09.006.Oxidative. 4. M. Goodman, R.M. Bostick, O. Kucuk, D.P. Jones, Clinical trials of antioxidants as cancer prevention agents: Past, present, and future, Free Radic. Biol. Med. 51 (2011) 1068–1084. doi:10.1016/j.freeradbiomed.2011.05.018. 5. E.A. Sisein, Biochemistry of free radicals and antioxidants, Biosciences. 2 (2014) 110–118. 6. M. Xu, Q. Shao, S. Ye, S. Li, M. Wu, M. Ding, Y. Li, Simultaneous extraction and identification of phenolic compounds in Anoectochilus roxburghii using microwave-assisted extraction combined with UPLC-Q-TOF-MS/MS and their antioxidant activities, Front. Plant Sci. 8 (2017) 1–11. doi:10.3389/fpls.2017.01474 7. S. Goktas, M.D. Köse, O. Bayraktar, A screening experimental design to develop high extraction yield of flavonoids in Ginkgo biloba Leaves, 39 (2017) 33–39 8. A.I. Khuri, A General overview of Response Surface Methodology, Biometrics Biostatisitics Int. J. 5 (2017) 1–8. doi:10.15406/bbij.2017.05.00133 9. R. V Lenth, Response-Surface Methods in R , using RSM, Journalof Stat. Softw. 32 (2009)1–4. doi:http://dx.doi.org/10.18637/jss.v032.i07 10. F. Ahmad, W.M.A.W. Daud, M.A. Ahmad, R. Radzi, Cocoa (Theobroma cacao) shell-based activated carbon by CO2 activation in removing of cationic dye from aqueous solution: Kinetics and equilibrium studies, Chem. Eng. Res. Des.90 (2012) 1480–1490. doi:10.1016/j.cherd.2012.01.017. 11. A.A. Karim, A. Azlan, A. Ismail, P. Hashim, N.A. Abdullah, Antioxidant properties of cocoa pods and shells, Malaysian Cocoa J. 8 (2014). 12. A. Abdul Karim, A. Azlan, A. Ismail, P. Hashim, S.S. Abd Gani, B.H. Zainudin, N.A. Abdullah, Phenolic composition, antioxidant, anti- wrinkles and tyrosinase inhibitory activities of cocoa pod extract, BMC Complement. Altern. Med. 14 (2014) 1–13. doi:10.1186/1472- 6882-14-381 13. E. Lecumberri, R. Mateos, M. Izquierdo-Pulido, P. Rupérez, L. Goya, L. Bravo, Dietary fibre composition, antioxidant capacity and physico-chemical properties of a fibre-rich product from cocoa (Theobroma cacao L.), Food Chem. 104 (2007) 948–954. doi:10.1016/j.foodchem.2006.12.054. 14. M.J. Mitchell, M.R. King, Polyphenols and aging, 3 (2014) 1–23. doi:10.1088/1367-2630/15/1/015008.Fluid. 15. A. Othman, A. Ismail, N. Abdul Ghani, I. Adenan, Antioxidant capacity and phenolic content of cocoa beans, (2007) 1523–1530. doi:10.1016/j.foodchem.2005.12.021. 16. I.F.F. Benzie, J.J. Strain, the ferric reducing ability of plasma ( FRAP ) as a measure of ‘“ Antioxidant Power ”’: The FRAP Assay, Anal. Biochem. 76 (1996) 70–76. 17. J.L. Pilkington, C. Preston, R.L. Gomes, Comparison of response surface methodology (RSM) and artificial neural networks (ANN) towards efficient extraction of artemisinin from Artemisia annua, Ind. Crops Prod. 58 (2014) 15–24. doi:10.1016/j.indcrop.2014.03.016. 18. Z. Hromádková, Z. Košt’álová, A. Ebringerová, Comparison of conventional and ultrasound-assisted extraction of phenolics-rich heteroxylans from wheat bran, Ultrason. Sonochem.15(2008)1062–1068. doi:10.1016/j.ultsonch.2008.04.008. 19. A. Thouri, H. Chahdoura, A. El Arem, A.O. Hichri, R. Ben Hassin, L. Achour, Effect of solvents extraction on phytochemical components and biological activities of Tunisian date seeds ( var . Korkobbi and Arechti ), (2017) 1–10. doi:10.1186/s12906-017-1751-y 20. H. Zhang, G. Xie, M. Tian, Q. Pu, M. Qin, Optimization of the ultrasonic-assisted extraction of bioactive flavonoids from Ampelopsis grossedentata and subsequent separation and purification of two flavonoid aglycones by high-speed counter-current chromatography, Molecules. 21 (2016) 1–17. doi:10.3390/molecules21081096 21. Mariel G. Klanian, MontserratTerrats Preciat, Optimization of the Ultrasound-Assisted Extraction of Phenolic Compounds from Brosimum alicastrum, Molecules. 22 (2017) 1286. doi:10.3390/molecules22081286. 22. T.D. Kim, H.J. Ryu, H. Il Cho, C. Yang, J. Kim, Thermal Behavior of Proteins : Heat-Resistant Proteins and Their Heat-Induced Secondary Structural Changes †, Biochemistry. 39 (2000) 14839–14846. 23. A.C. Benniston, A. Harriman, J.P. Rostron, The effect of solvent polarity on the photophysical properties of 4-cyano-(4 0 - methylthio)diphenylacetylene: A prototypic donor–acceptor system w, (2005) 3041–3047. 24. G. Pan, G. Yu, C. Zhu, J. Qiao, Ultrasonics Sonochemistry Optimization of ultrasound-assisted extraction ( UAE ) of flavonoids compounds ( FC ) from hawthorn seed ( HS ), Ultrason. - Sonochemistry. 19 (2012) 486–490. doi:10.1016/j.ultsonch.2011.11.006. 25. P.Z. Ma, L.D. Diamanto, A. Cvetanovi, Optimization of the Extraction Process of Antioxidants from Orange Using Response Surface Methodology, (2016) 1436–1443. doi:10.1007/s12161-015-0321-5. 26. N.F. Azahar, S. Salwa, A. Gani, N. Fadzillah, M. Mokhtar, Optimization of phenolics and flavonoids extraction conditions of Curcuma Zedoaria leaves using response surface methodology, Chem. Cent. J. (2017) 1–10. doi:10.1186/s13065-017-0324-y. 27. S. Jang, A.Y. Lee, A.R. Lee, G. Choi, H. Kyoung, Optimization of ultrasound-assisted extraction of glycyrrhizic acid from licorice using response surface methodology, Integr. Med. Res. 6 (2017) 388–394. doi:10.1016/j.imr.2017.08.003. 28. J.R. Vergara-salinas, J. Perez-Jimenez, J.L. Torres, E. Agosin, J.R.P. Correa, Effects of Temperature and Time on Polyphenolic Content and Antioxidant Activity in the Pressurized Hot Water Extraction of Deodorized Thyme ( Thymus vulgaris ), Agric. Food Chem. 60 (2012) 10920–10929. doi:10.1021/jf3027759. 29. S.J.S. Flora, Structural, chemical and biological aspects of antioxidants for strategies against metal and metalloid exposure. Oxid. Med. Cell. Longev. 2 (2009) 191–206. doi:10.4161/oxim.2.4.9112 Authors: Aifaa Balqis Kamarul Zaman, Zahiraniza Mustaffa, Lea Doleeda Luncha Anak Giri Paper Title: Infiltration Rate of Pervious Concrete on Street Curb Application Abstract:The street curb and stormwater inlets are among the component often found on the road which serve as part of the urban stormwater drainage system. They act as a stormwater removal and discharge it into the underground drainage system. However, the current stormwater inlet practiced in Malaysia has limitations which often cause water ponding and consequently lead to road flooding. Rather than improving the performance of stormwater inlet, the flow interception and rate of stormwater removal may be enhanced by introducing a new technology called the pervious curb. It isto be made of pervious concrete which provide an ability to allow water to pass through it.This paper attempts to adapt the existingtwo pervious concrete mix design and applied it into the so-called pervious curb. Herein, a newly designed infiltration rate test was used to test the pervious concrete performance under the effect of infiltration through side surface of the concrete curb. While doing so, the infiltration rate of the pervious concrete will be investigated under varying slopes. Results showed that the infiltration rate is quite high and the rate of infiltration increases as the inclination gutter increases. Thus, it is 16. 86-90 proven that the new infiltration rate test is applicable and can be used for other similar applications. Furthermore, the test has significantly revealed that the pervious concrete has high potential in enhancing flow interception and able to reduce water ponding as a street curb.

Keywords:infiltration rate, pervious concrete, street curb, stormwater inlet

References: 1. Department of Irrigation and Drainage, "Urban Stormwater Management Manual Malaysia," DID Malaysia, Kuala Lumpur, 2012. 2. N. Xie, M. Akin and X. Shi, "Permeable concrete pavements: A review of environmental benefits," Journal of Cleaner Production, vol. 210, pp. 1605-1621, 2019. 3. C. P. Wu, T. S. Yu, A. S. T. Wong and C. W. Li, "Hydraulic interception efficiency of gully gratings on steep roads," HKIE Transactions, vol. 22, no. 3, pp. 192-198, 2015. 4. A. Volder, T. Watson and B. Viswanathan, "Potential Use of Pervious Concrete for Maintaining Existing Mature Trees During and After Urban Development," Urban Forestry and Urban Greening, vol. 8, no. 4, pp. 249-256, 2009. 5. P. D. Tennis, M. L. Leming and D. J. Akers, "Pervious Concrete Pavements," Portland Cement Association, Skokie, Illinois, and National Ready Mixed Concrete Association, Silver Spring, Maryland, 2004. 6. M. Sonebi, M. Bassuoni and A. Yahia, "Pervious Concrete: Mix Design, Properties and Applications," RILEM Technical Letters, vol. 1, p. 109, 2016. 7. D. S. Shah, J. Pitroda and J. J. Bhavsar, "Pervious Concrete: New Era for Rural Road Pavement," International Journal of Engineering Trends and Technology (UETT, vol. 4, no. 8, pp. 3495-3499, 2013. 8. D. S. Shah, J. Pitroda and J. J. Bhavsar, "Pervious Concrete: New Era for Rural Road Pavement," International Journal of Engineering Trends and Technology (UETT, vol. 4, no. 8, pp. 3495-3499, 2013. 9. V. R. Schaefer, M. T. Suleiman, K. Wang, J. Y. Kevern and P. Wiegand, "An Overview of Pervious Concrete Application in Stormwater Management and Pavement System," Civil, Construction and Environmental Engineering, Iowa State University, Ames, LA, 2006. 10. S. A. Salih, I. N. Gorgis and W. F. Abd, "Some Properties of No-Fines Concrete Produced by Using Demolished Concrete as Recycled Coarse Aggregate," Engineering and Technology Journal, vol. 35, no. 7, pp. 741-748, 2017. 11. B. Russo, M. Gomez and J. Tellez, "Methodology to Estimate the Hydraulic Efficiency of Nontested Continuous Transverse Grates," Journal of Irrigation & Drainage Engineering, vol. 139, no. 10, pp. 864-571, 2013. 12. M. Rubinato, S. Lee, R. Martins and J. Shucksmith, "Surface to sewer flow exchange through circular inlets during urban flood conditions," Journal of Hydroinformatics, pp. 1-13, 2018. 13. A. Rose, J. E. Wilson and L. M. Lavkulich, "Analysis of Impervious Surface Area, and the Impacts on Soil-Based Agriculture and the Hydrologic Cycle: A Case Study in the Agricultural Land Reserve in Metro Vancouver, British Columbia, Canada.," Agricultural Sciences, vol. 8, pp. 837-856, 2017. 14. S. Rahman, A. B. Northmore, V. Henderson and S. L. Tighe, "Developing A Framework for Low-Volume Road Implementation of Pervious Concrete Pavements," International Journal of Transportation Science and Technology, vol. 4, no. 1, pp. 77-92, 2016. 15. K. H. Obla, "Pervious concrete - an overview," Indian Concrete Journal, vol. 84, no. 8, pp. 9-18, 2010. 16. B. S. Mohammed, M. S. Liew, W. S. Alaloul, V. C. Khed, C. Y. Hoong and M. Adamu, "Properties of nano-silica modified pervious concrete," Case Studies in Construction Materials, pp. 409-422, 2018. 17. A. Mohammadinia, M. M. Disfani, G. A. Narsilio and L. Aye, "Mechanical behaviour and load bearing mechanism of high porosity," Construction and Building Materials, vol. 168, pp. 794-804, 2018. 18. G. Lu, L. Renken, T. Li, D. Wang, H. Li and M. Oeser, "Experimental study on the polyurethane-bound pervious mixtures in the," Construction and Building Materials, pp. 838-850, 2019. 19. P. Lopes, J. Leandro, R. F. Carvalho, B. Russo and M. Gomez, "Assessment of the Ability of a Volume of Fluid Model to Reproduce the Efficiency of a Continuous Transverse Gully with Grate," Journal of Irrigation and Drainage Engineering, vol. 142, no. 10, pp. 1-9, 2016. 20. P. Lopes, J. Leandro, R. F. Carvalho, P. Pascoa and R. Martins, "Numerical and experimental investigation of a gully under surcharge conditions," Urban Water Journal, pp. 1-9, 2013. 21. S. Kemper and A. Schlenkhoff, "Capacity of street inlets with partially severed grate openings," International Junior Researcher and Engineer Workshop on Hydraulic Structures, 2016 22. W. James and H. Langsdorff, "The Use of Permeable Concrete Block Pavement in Controlling Environmental Stressors in Urban Areas," 7th International Conference on Concrete Block Paving, pp. 1-8, 2003. 23. S. G. D. Iya, M. B. Gasim, M. E. Toriman and M. G. Abdullahi, "Floods in Malaysia: Historical Reviews, Causes, Effects and Mitigations Approach," International Journal of Interdisciplinary Research and Innovations, vol. 2, no. 4, pp. 59-65, 2004. 24. M. Z. Hu, Y. L. Siu, L. Yu, K. Tanaka, Y. Hong and Y. Xu, "Flood Mitigation by Permeable Pavements in Chinses Sponge City Construction," Water, vol. 10, no. 2, pp. 1-12, 2018. 25. J. Harvey and D. R. Smith, "Final Report: Permeable Pavement Road Mao Workshop and Proposed Road Map for Permeable Pavement," 2018. 26. J. C. Y. Guo, K. A. MacKenzie and A. Mommandi, "Flow Interception Capacity of Inclined Grate," Journal of Irrigation & Drainage Engineering, vol. 142, no. 4, pp. 1-5, 2016. 27. I. N. Grubesa, I. Barisic, V. Ducman and L. Korat, "Draining capability of single-sized pervious concrete," Construction and Building Materials, pp. 252-260, 2018. 28. M. Gomez and R. Beniamino, "Hydraulic Efficiency of Continuous Transverse Grates for Paved Areas," Journal of Irrigation & Drainage Engineering, vol. 135, no. 2, pp. 225-230, 2009. 29. M. Gomez, J. Recasens, B. Russo and M. E. Gomariz, "Assessment of inlet efficiency through a 3D simulation: numerical and experimental comparison," Water Sciences & Technology, vol. 74, no. 8, pp. 1926-1935, 2016. 30. W. Goede, "Investigation into the Structural Performance of Pervious Concrete", Journal of Transportation Engineering, vol. 138, no. 1, pp. 98-104, 2012. 31. S. Eathakoti, N. Gundu and M. R. Ponnada, "An Innovative No-Fines Concrete Pavement Model," Journal of Mechanical and Civil Engineering, vol. 12, no. 5, pp. 34-44, 2015. 32. D. M. Abdel Aziz, D. O. Al-Maani and W. Al-Azhari, "Using Pervious Concrete for Managing Storm Water Run-off in Urban Neighbourhoods: Case of Amman," American International Journal of Contemporart Research, vol. 5, no. 2, pp. 76-78, 2015. Authors: Ng Wee Fern, Rozilah Kasim, Mohd Idrus Mohd Masirin Paper Title: Availability and Accessibility of Physical Facilities Provision that Support PWDs Abstract: This document describes well the data analysis and document review results in order to guarantee that the structures comply with the building regulations. In addition, measurement and photography observations were done to determine the availability and accessibility of people with disabilities (PWDs) using facilities in Universiti Tun Hussein Onn Malaysia (UTHM). Besides introducing the process and function of the study, it also stating clearly the first research objective to be analysing. Furthermore, this paper presents the research framework highlight on research objective 1 that is to determine the physical facilities provision that support availability and accessibility for PWDs at UTHM. 17. 91-95 Keywords: availability, accessibility, PWDs

References: 1. Creswell, J.W. & Clark, V. L. (2011). Designing and Conducting Mixed Method Research. 2nd Edition. United State of America: Sage. 2. Simon, S. I., & Frazee, P. R. (2005). Leadership-driven culture change at General Motors (pp. 36-44, Publication). Retrieved May 13, 2018, from http://www.culturechange.com/wp-content/uploads/2014/11/GMJan2005.pdfYin, R. K. (2011). Case Study Research Design and Methods. 4th Ed. United States, America: SAGE 3. Yin, R. K. (2011). Qualitative Research from Start to Finish, First Edition. New York, USA: Guilford Press. 4. Abdullah, N., Hanafi, H., & Hamdi, N. I. M. (2017). The Rights of Persons With Disabilities in Malaysia: The Underlying Reasons for Ineffectiveness of Persons with Disabilities Act 2008. International Journal for Studies on Children, Women, Elderly And Disabled, Vol. 1 (January). 5. Asiah Abdul Rahim, Samad, N. A. A., & Rahim, C. R. C. (2015). Overview of Universal Design Application and Accessibility in Major Cities of ASEAN Countries. . Paper presented at the 2nd International Conference on ASEAN Community 2015, Kuala Lumpur. 6. Asiah Abdul Rahim, Zen, I., Samad, N. A. A., Rahim, C. R. C., & Badhrulhisham, A. (2014, 11th - 13th November 2014). Investigation on the Accessibility in Transportation Hubs: Upgrades in London. Paper presented at the 5th International Conference for Universal Design in Fukushima & Tokyo 2014 Tokyo. 7. Bendixen, K. (2010, 2nd November 2014). Perspective from Denmark: Design for All – Point of no Return! Paper presented at the 3rd International Conference for Universal Design in Hamamatsu, Japan 2010, Hamamatsu. 8. Bickenbach, J. E., Chatterji, S., Badley, E. M., & Üstün, T. B. (1999). Models of disablement, universalism and the international classification of impairments, disabilities and handicaps. 9. Social Science & Medicine, 48(9), 1173-1187. doi:http://dx.doi.org/10.1016/S02779536(98)00441-9 10. The Center for Universal Design (CUD), NCSU. (2008). Retrieved from https://www.ncsu.edu/ncsu/design/cud/about_ud/udhistory.htm 11. Creswell, J. W. (2009). Research Design: Qualitative, Quantitative and Mixed Methods Approaches (3rd Edition ed.). USA: SAGE Publications. 12. The EIDD Stockholm Declaration. (2004). 13. Erkilic, M. (2011). CONCEPTUAL CHALLENGES BETWEEN UNIVERSAL DESIGN AND DISABILITY IN RELATION TO THE BODY, IMPAIRMENT, AND THE ENVIRONMENT: WHERE DOES THE ISSUE OF DISABILITY STAND IN THE PHILOSOPHY OF UD? Universal Design and Disability, 2(METU JFA ). doi:DOI: 10.4305/METU.JFA.2011.2.9 14. Evcil, A. N. (2012). Raising Awareness about Accessibility. Procedia - Social and Behavioral Sciences, 47, 490-494. doi:http://dx.doi.org/10.1016/j.sbspro.2012.06.686 15. Fletcher, V. (2016). Inclusive/universal design: People at the center of the design process The Routledge Companion for Architecture Design and Practice: Established and Emerging Trends (pp. 251-268): Taylor and Francis. 16. Froyen, H. (2015). Universal Design for The Human-Made Environment We Share. Paper presented at the 4th International Conference on Universal Design in the Built Environment 2015 Sharing the World (ICUDBE2015), Perbadanan Putrajaya 17. Gray, J. A., Zimmerman, J. L., & Rimmer, J. H. (2012). Built environment instruments for walkability, bikeability, and recreation: Disability and universal design relevant? 18. Disability and Health Journal, 5(2), 87-101. doi:http://dx.doi.org/10.1016/j.dhjo.2011.12.002 19. Groat, L., & Wang, D. (2002). Architectural Research Methods. USA: John Wiley & Sons. 20. Guimarães, M. P. (2016) Universal design criteriain standardsand codes about accessibility of built environmentsin Brazil. Vol. 229. 3rd International Conference on Universal Design, UD 2016 (pp. 121-130): IOS Press. 21. Harrison, J., & Dalton, C. (2015). THE FAMILIAR AND THE STRANGE: THE LIMITS OF UNIVERSAL DESIGN IN THE EUROPEAN CONTEXT. JOURNAL OF 22. UNIVERSAL DESIGN IN THE BUILT ENVIRONMENT, 1(1), 49-67. 23. Harrison, J. D. (2001). Housing for Older Persons in Southeast Asia: Evolving Policy and Design. In W. F. E. Preiser & E. Ostroff (Eds.), Universal Design Handbook: McGrawHill Education. 24. Hussein, H., & Yaacob, N. M. (2012). Development of Accessible Design in Malaysia. Procedia - Social and Behavioral Sciences, 68, 121-133. doi:http://dx.doi.org/10.1016/j.sbspro.2012.12.212 25. Imrie, R. (2000). Disabling environments and the geography of access policies and practices. Disability & Society, 15(1), 5-24. 26. Imrie, R. (2012). Universalism, universal design and equitable access to the built environment. Disability and Rehabilitation, 34(10), 873- 882. doi:10.3109/09638288.2011.624250 27. Imrie, R., & Kumar, M. (1998). Focusing on Disability and Access in the Built Environment. Disability & Society, 13(3), 357-374. doi:10.1080/09687599826687 28. Iwarsson, S., & StÅHl, A. (2003). Accessibility, usability and universal design—positioning and definition of concepts describing person- environment relationships. Disability and Rehabilitation, 25(2), 57-66. doi:10.1080/dre.25.2.57.66 29. Kadir, S. A., & Jamaludin, M. (2012). Applicability of Malaysian Standards and Universal 30. Design in Public Buildings in Putrajaya. Procedia - Social and Behavioral Sciences, 31. 36, 659-669. doi:http://dx.doi.org/10.1016/j.sbspro.2012.03.072 32. Kadir, S. A., & Jamaludin, M. (2013). Universal Design as a Significant Component for Sustainable Life and Social Development. Procedia - Social and Behavioral Sciences, 85, 179-190. doi:http://dx.doi.org/10.1016/j.sbspro.2013.08.349 33. Kamarudin, H., Hashim, A. E., Mahmood, M., Ariff, N. R. M., & Ismail, W. Z. W. (2012). The 34. Implementation of the Malaysian Standard Code of Practice on Access for Disabled Persons by Local Authority. Procedia - Social and Behavioral Sciences, 50, 442-451. doi:http://dx.doi.org/10.1016/j.sbspro.2012.08.048 35. Kanter, A. S. (2011). The Law: What's Disability Studies Got To Do With it or An Introduction to Disability Legal Studies. Columbia Human Rights Law Review, 42(2), 403. 36. Kanter, A. S. (2015). The development of disability rights under international law: from charity to human rights. Abingdon: Routledge. Authors: Kritana Prueksakorn, Kiyota Hashimoto, Sudarat Kamnerdtong, Panuwat Phakdee-auksorn Performance of International Tourists’ Perception and Behavior toward Road Safety in Phuket, Paper Title: Thailand Abstract:When traveling in a foreign country, road transport is most frequently and conveniently used particularly, but road conditions and manners are stunningly different among countries, which increases potential risks to meet accidents. If tourists feel such risks, it may be that they will not be repeaters and their impressions will also be shared with others, leading to a potential decrease of tourists. Phuket, Thailand, a worldly well-known

beach resort, faces problems in road conditions and manners, with a high rate of traffic accidents and casualties, and governmental actions have to be taken. This paper reports a questionnaire survey result about how 18. international tourists feel and understand road conditions in Phuket during their stay, which is expected to offer good evidence on which governmental actions should be based. The survey results revealed (mostly through the 96-103 behaviors and recommendations) that the majority of international tourists to Phuket felt risks in terms of road conditions, regardless of whether they drove by themselves or not, and most of them wanted the basic information on road conditions as well as regulations, so that they could prepare themselves. Relations between demographic characteristics and questionnaire replies were also investigated, suggesting that there be a necessity of reducing risks particularly for elderly tourists, and that the driving manner of local residents including professional drivers should be improved. Keywords:Behavior and perception, International tourist, Phuket, Road safety.

References: 1. T. P. N. Sakolnakorn, A. Naipinit, P. Kroeksakul, “Sustainable Tourism Development and Management in the Phuket Province, Thailand,” Asian Social Science, vol. 9, no. 7, pp. 75-84, 2013. 2. Tourism Authority of Thailand (TAT), “Thailand Tourism Statistical Report 2013,” Bangkok, 2013. 3. V. Kasantikul, J.V. Ouellet, T. Smith, J. Sirathranont, V. Panichabhongse, “The role of alcohol in Thailand motorcycle crashes,” Accident Analysis & Prevention, vol. 37, no. 2, pp. 357-366, 2005. 4. P. Suriyawongpaisal, S. Kanchanasut, “Road traffic injuries in Thailand: trends, selected underlying determinants and status of intervention,” Injury control and safety promotion, vol. 10, no. 1-2, pp. 95-104, 2013. 5. Thailand Road Safety Network, “Thai national status report on road safety 2014,” 1st ed., Khon Kaen Printing Ltd.Part., 2016(in Thai). 6. National Statistical Office, “Phuket Provincial Statistical Report,” (in Thai). Retrieved February 17, 2019 from http://phuket.nso.go.th/index.php?option=com_content&view=article&id=132&Itemid=507 7. National Statistical Office, “Area-level statistical development plan - Phuket Area no. 2 (year 2018-2021),” 2018 (in Thai). 8. E.B. Goldstein, “Sensation and perception,” Wadsworth, Cengage Learning, Retrieved October 24, 2016 from http://zhenilo.narod.ru/main/students/Goldstein.pdf 9. S.S. Smith, M.S. Horswill, B. Chambers, M. Wetton, “Hazard perception in novice and experienced drivers: The effects of sleepiness,” Accident Analysis & Prevention, vol. 41, no. 4, pp. 729-733, 2009. 10. A.D. Tasci, Y. Boylu, “Cultural comparison of tourists' safety perception in relation to trip satisfaction,” International Journal of Tourism Research, vol. 12, no. 2, pp. 179-192, 2010. 11. The Thaiger, “50,000 baht fine and 3 months jail for driving without a license – transport law upgrades,”. Retrieved March 9, 2019 from https://thethaiger.com/news/national/50000-baht-fine-and-3-months-jail-for-driving-without-a-license-transport-law-upgrades 12. The pattaya news, “Pattaya Police to crack down on foreign drivers without licenses, confiscate vehicle,”. Retrieved March 9, 2019 from https://thepattayanews.com/2018/05/10/pattaya-police-to-crack-down-on-foreign-drivers-without-licenses-confiscate-vehicle/ 13. B.W. Ritchie, A. Tkaczynski, P. Faulks, “Understanding the motivation and travel behavior of cycle tourists using involvement profiles,” Journal of Travel & Tourism Marketing, vol. 27, no. 4, pp. 409-425, 2010. 14. A. Jonas, Y. Mansfeld, S. Paz, I. Potasman, “Determinants of health risk perception among low-risk-taking tourists traveling to developing countries,” Journal of Travel Research, vol. 50, no. 1, pp. 87-99, 2011. 15. P. Siriphakdee, “Results of a study analyzing the causes of road accidents by Thai and foreign nationals in Pai district, Mae Hong Son province,” Lanna Public Health Journal, vol. 5, no. 1, pp. 89-95, 2013. 16. Tourism Authority of Thailand (TAT), “Thailand Tourism Statistical Report 2014,” Bangkok, 2015. 17. W.G. Cochran, “Sampling techniques,” 3rd ed. John Wiley & Sons, New York, 1977. 18. P. Eiamtrakul, Y. Pimonsathean, S. Narinsilp, “The study of urban factors influencing on road safety through public participation process,” Journal of Architecture and Planning Research and Studies, vol. 7, no. 1, pp. 59-71, 2015. 19. G. Yannis, E. Papadimitriou, C. Antoniou, “Multilevel modeling for the regional effect of enforcement on road accidents,” Accident Analysis & Prevention, vol. 39, no. 4, pp. 818-825, 2007. Authors: Nuchakorn.K, Tiranan.W, Jantira.P, Benjamin.C, Puriwat.L Paper Title: Education and Information Systems Routes and Activity Patterns agro-tourism Surat Thani Abstract: The purpose of research on the education and development of information systems, the route and form of agricultural tourism activities in Surat Thani are to study the patterns and activities of agro-tourism in Surat Thani, to study and gather information on agricultural tourism routes in Surat Thani, and to develop the information system in form and route of agricultural tourism in Surat Thani. From the interview using structured interviews, questionnaires, and shared observations, the samples used in this research were the main informants consisting of farmers engaged in agro-tourism activities, tourist attractions and other farmers who were involved in agro-tourism activities in each district. The results of the descriptive analysis were presented. From the basic information of agro-tourism in Surat Thani Province, there are currently 13 tourist sites including three eco- tourism destinations, three learning centers, two homestays and residences, four demonstration centers and one orchard: more followings are BangBaiMai Eco-tourism group, KhunTalay Eco-tourism group, Bang Po, ChangKob Shipyard Learning Center, Sufficiency Economy Learning Center, "Park Lung Song pure cold extraction coconut oil Learning Center". Baan Klong Noi Homestay, Monkey Farms Demonstration Training Center, a demonstration center for coconut and coconut shells, making a fishing rod for catching shrimp demo center, Coconut Sugar demonstration center, Artit Garden and Wangko Resort. Tourism forms and activities consist of 12 types, namely, cropping, animal husbandry, agricultural production, beautiful landscape, agricultural 19. life park where tourists can walk in the garden themselves. Bang Bai Mai Floating market, rafting ropeway, rafting 104-107 in the canal, demonstration of monkey training for agriculture and recreation travel directions. There are 3 main routes: Rural Highway No. 2007, Rural Road No. 4229 and Highway No. 420. Information System Route and Formation of Agricultural Tourism Activities in Surat Thani Province based on the survey area; researchers use the Google API to create a map route by identifying the coordinates of the tourist.

Keywords: Information systems; routes; activities; agro-tourism.

References: 1. What is API? April 1, 2015, from http://meewebfree.com/ 2. What is Google Maps for Business? Founded on April 1, 2015, from http://www.tangerine.com/what-is-google-maps-for-business/ 3. KritsadaChanrob (2016). What is PHP Founded on April 1, 2015, from https://www.gotoknow.org/posts/428663 4. (Geographic Information System: GIS). Founded on April 1, 2015, from http://www.gisthai.org/about-gis/gis.html 5. NatchaPiyawutSakul. Potential Assessment of Housing for Homestay Development. In the area of agro-tourism, the area of agro-tourist attraction, Moo 3, Klong Dam. Khlong Khuean District Chachoengsao. Chulalongkorn University Secretariat, 2013 6. WaruneeKetatad. Evaluation of agricultural tourism potential of ThawiWatthana area. Bangkok. Mahidol University Salaya, 2009 7. SophonBoonlum, JutamasKorangsri and BenjamasPimja. Events and routes Agricultural Tour of Salted Eggs Group, Samet, Chaiya District, Surat Thani Surat Thani Rajabhat University, 2004 8. Teppakorn Na Songkhla,BunchaSomboonsuke Interaction between agro-tourism and local agricultural resource management: A case study of Changklangagro-tourism, Nakhon Si Thammarat province.Prince of Songkla University,(2011). Authors: Tiranan.W, Krittika.J, Nuchakorn.K The Educational Logistic Potential and Supply Chain Link to Agro-tourism through learning the Paper Title: Lifestyle AmphoeLansaka, Nakorn Sri Thammarat Abstract:The purposes of this study were to examine the readiness and accordance of potential, the demand of logistics potential and agro-tourism supply chain in Lan Saka district, Nakhon Si Thammarat province. Questionnaires were distributed to 400 tourists and an interview was conducted with five interviewees from the government/private agencies and entrepreneurs. Analysis of the results revealed that the highest satisfaction was found in three aspects including the community way of life( =4.29, S.D. = 0.55),the personnel ( =4.50, S.D. =0.34), and the tourist attractions ( =4.45, S.D. =0.54), respectively. Respondents highly agreed on two aspects: the physical flow( =3.82, S.D. = 0.62) and the information flow ( =3.94, S.D. = 0.56), respectively. In tourists’ points of view, there should be an improvement on the physical flow and the information flow by emphasizing the location access, providing adequate parking space and travel facilities such as public transport, buses for servicing tourists, signs or symbols, road signs, and viewpoint signs/danger point signs should be provided for convenience in tourist destination access. In view of government/private agencies and entrepreneurs, there should be an emphasis on the physical flow and the tourist destination service, especially transportation services in tourist areas such as enough parking space and network construction linking to nearby location for increasing the opportunities in income distribution and for building sustainable community careers. 20. 108-112 Keywords:Readiness, Potential, Logistics and Supply Chain, Agro-tourism.

References: 1. Sirarungrotkanok, P., (2016). The Behavior and Satisfaction of Thai Tourists Toward the Tourism Logistics Management Case Study: Amphawa Floating Market, Samutsongkarm Province. Master of Science.Burapa University. 2. Phohirun,W.,(2014). The Study and Support the Community Potentiality about Agricultural Tourism Management for Self-Dependence of Muban Rongkha Community, Nakhonthai District,Phitsanulok Provice. Pibulsongkram rajabhat university. 3. Rohitratana, K., Charinsarn, A., Rattanaprichavej, N., Intojunyong, S., Ractham, P., Kaewkitipong, L., Satthumnuwong, N., Laosirihongthong, T., Buhtyoo, T.,( 2013) . The Study of logistics and Supply Chain System to Strengthen the Capability of Tourism Industry in Thailand. National Research Council of Thailand( NRCT) and The Thailand Research Fund (TRF ). 4. Intojunyong, S., Rohitratana, K., Charinsarn, A., Rattanaprichavej, N.,Ractham , P., Kaewkitipong, L., Satthumnuwong, N., Laosirihongthong, T., Buhtyoo, T.,(2013). The Study of Supply Chain and Data Model of Tourism Industry in Thailand. National Research Council of Thailand(NRCT) and The Thailand Research Fund (TRF ). 5. Suralai, W., ( 2013) .Guidelines for Sustainable on Agro-Tourism Destinations Development: A Case Study of Wang Nam Keaw District,Nakorn Ratchasima Province. Master of Business Administration Independent Study in Tourism Management, Faculty of Management Science, Khon Kaen University. 6. Promprasit, N., (2013). The way in marketing development of agrotourism at Koh Yor, Muang District, Songkhla Provice. Master of Business Administration. Songkhla Rajabhat University. Authors: Jutaporn Lertkrai, Puriwat Lertkrai, Nattapong Kaewboonma Paper Title: An Ontology-Based Model for Treatment Guidelines of Internet and Games Addiction Abstract:Internet and games addiction will become a difficult problem for the parents, because the internet and games easier to access and has more contents. Thus, the number of internet and games addiction will be increasing in the future. This study recommends ontology expansion for treatment guidelines of internet and games addiction that will use as the component of recommendation system in web technology. This study’s methodology can be condensed into three states; data collection ontology development, and evaluation. This ontology included seven main classes, there are profile, characteristics, risk factors, devices, treatment, and GAST. The evaluation result that conducted by domain experts included a highly-superior concentration of 88.34%, which confirms that this ontology may be employed for developing a recommendation system.

Keywords:Clinical Practice, Internet and game addiction, Ontologies, Recommender system.

References: 1. DQ Institute, "2018 National DQ Impact Report Thailand," DQ Institute, United States, (2018). 21. 2. C. Pornnoppadol, Clinical Practice Guidelines for Treatment of Internet and Game Addiction, Nontaburi: National Health Commission 113-117 Office Thailand, (2016). 3. N. F. Noy and D. L. McGuinness, "Ontology Development 101: A Guide to Creating Your First Ontology," (Standford University, Standford, 2001). 4. D. J. Kuss and O. Lopez-Fernandez, "Internet addiction and problematic Internet use: A systematic review of clinical research," World Journal of Psychiatry, no. 2220-3206, (2016), pp. 143-176. 5. J. J. Eui, J. K. Dan, M. L. Dong and R. L. Hye, "A Study of Digital Game Addiction from Aggression, Loneliness and Depression Perspectives," 2016 49th Hawaii International Conference on System Sciences (HICSS),(2016),pp. 3769-3780. 6. C. W. Guo, G. Chuang and S. T. Mei, "An efficient method for changing undergraduate students' addiction to the computer games into the interest of learning," 2017 IEEE 6th International Conference on Teaching, Assessment, and Learning for Engineering (TALE), (2017), pp. 160-162. 7. N. Suksom, M. Buranarach, Y. Thein, T. Supnithi and P. Netiosopakul, "A Knowledge-based Framework for Development of Personalized Food Recommender System," in The Fifth International Conference on Knowledge, Information and Creativity Support Systems, (2010). 8. K. Kozaki, Y. Kitamura, M. Ikeda and R. Mizoguchi, "Hozo: An Enviroment for Building/Using Ontologies Based on a Fundamental Consideration of “Rule” and “Relationship," in Proceedings of the 13th International Conference Knowledge Engineering and Knowledge Management (EKAW2002), (Siguenza, Spain, 2002). 9. S. Ngamsrithepparit, T. Supnithi, Y. M. Thein, K. R. Saikaew, M. Buranarach and S. Poltree, "Rule Management System for Ontology- based Recommendation System," in Proceeding of Joint International Symposium on Natural Language Processing and Agricultural Ontology Service 2011 (SNLP-AOS 2011), (2012). 10. M. Buranarach , Y. Myat, and T. Supnithi, A Community-Driven Approach to Development of an Ontology-Based Application Management Framework, Proceeding of the Second Joint International Conference (JIST2012), (Nara, Japan, 2012), pp.306-312. 11. J. Brank, M. Grobelnik and D. Mladenić, "Survey of Ontology Evaluation Techniques," in Proceedings of 8th Int. multi-conf. Information Society, (2005). Authors: Suhaila Abdul Rashid, Mohammad Hussaini Wahab, Wan Nurul Mardiah Wan Mohd Rani Paper Title: Designing Safe Street for Women Abstract:Urbanisation is increasing rapidly and street design are affected due to current needs which are depending on motorised vehicles. Street become a thouroughfare and pedestrian needs are neglected. The charm of old street where priority were given to pedestrian and cyclist has lost. Pedestrian needs are constantly affected by the changing of built environment especially for women. The way women perceive a safe environment is rather different compared to men even though men do face risk in the environment. In order to create a safe street, the elements are not merely on the street but physical and social elements around it. The design of built environment does affect the way people perceive and behave. The aim of this research is to explore women’s perception of safety in the streets of Kuala Lumpur particularly at Jalan Tunku Abdul Rahman. The study adopted a mixed- method approach of qualitative and quantitative in order to understand the safety perception among women that will later establish the relationship between built environment and human psychology. Respondents were selected randomly around Jalan Tunku Abdul Rahman. Questionnaire survey forms were distributed and structured observation was conducted at interval period at these streets to examined and assess women’s behavior. Finding shows that fear does affect women’s perception and physical design of the streets are important in affecting their behavior.

Keywords:Public Realm, Public Space, Street Design, Urban Design, Sustainable Development, Women’s Perception.

22. References: 1. E. Duflo, Women Empowerment and Economic Development, American Economic Association, Vol.50, No.4, 2012, pp. 1051-1079. 118-122 2. UN, Sustainable Development Goals Report, New York, 2018 3. M.Felson & R.V.Clarke, Opportunity Makes The Thief: Practical Theory for Crime Prevention, Police Research Paper, 1998. 4. The Star,Move to Curb Street Crime, https://www.thestar.com.my, 2015. 5. UN Women, Safe Cities Global Initiatives, https://www.unwomen.org, 2011 6. UN Women, Safe Cities and Safe Public Spaces, Global Results Report, 2017. 7. UN, Sustainable Development Goals Report, New York, 2018. 8. V.Mehta, Lively Street: Determining Environmental Characteristics to Support Social Behaviour, Sage Publication, Vol.27, Issue 2, 2007. 9. A.B.Jacobs, Great Street, MIT Press, USA, 1993. 10. UN Habitat, The Relevance of Street Patterns and Public Space in Urban Areas, UN Habitat Working Paper, United Nations Human Settlements Programme, 2013. 11. The Government of Scotland, Designing Streets: A Policy Statement for Scotland, 2010, http://www.beta.gov.scot 12. C.Boulange, The Effect of Urban Crime and Perceived Safety on Urban Levels of Physical Activity: A Review, World Health Organisation, Kobe Centre for Health Development, retrieved from https://www.who.int, 2011. 13. A.Rapoport, Human Aspect of Urban Form, Towards a Man-Environment Approach to Urban Form and Design, Pergamon Press, New York, 1977. 14. P.N. Grabosky,Fear of Crime and Fear Reduction Strategies, Australia Institute of Criminology, 1995. 15. UN Women, Safe Public Transit for Women and Girls, 2012, www.htt://endvawnow.org 16. S.Marshall, Street & Patterns, Spon Press, New York, 2005. 17. P.Jones, S.Marshall & N.Boujenko, Creating More People-Friendly Urban Street Through ‘Link and Place’ Street Planning and Design, IATSS Research, Volume 32, Issue 31, Pages 14-25, 2008. 18. J.W. Creswell,Research Design: Qualitative, Quantitative and Mixed Methods Approaches, Second Edition, Sage Publications,Inc. USA, 2003. 19. R.K.Yin, Case Study Research: Design and Method (4th Edition), Thousand Oaks, California, 2009. Authors: Azham Hussain, Emmanuel O.C Mkpojiogu, Khairi Suleiman Paper Title: A Heuristic Evaluation of Achik.biz Mobile Shopping App Abstract: The purpose of this study is to present the report of the evaluation of a mobile print shop and design shopping application (Achik.biz). Following a dearth of studies on the usability of mobile print shop and design shopping application, a study was conducted to evaluate the Achik.biz application. Heuristic methodology was used in the evaluation. The evaluation was conducted by 3 usability experts. The study reveals quite a number of usability issues related to the application.

23. Keywords: Heuristic Evaluation, Achik.biz, Mobile Shopping App 123-126

References: 1. A Look at the Evolving E-Commerce Landscape, RetrievedDecember02,2017,fromhttp://www.nielsen.com/my/en/insights/news/2017/a- look-at-the-evolving-e-commerce-landscape.html (2017). 2. Canadian Mobile Wallet Users Set Mobile Payment Trends,RetrievedDecember02,2017,fromhttp://www.nielsen.com/ca/en/insights/news/2017/canadian-mobile-wallet-users-set-mobile- payment-trends.html (2017). 3. Younger consumers turn increasingly to mobile devices for buying as well as browsing. Retrieved December 02, 2017,fromhttps://www.digitalcommerce360.com/2016/04/25/younger-consumers-turn-increasingly-mobile-devices-buying/ (2017). 4. J. Mankoff, A.K. Dey, G. Hsieh, J. Kientz, S. Lederer, and M. Ames, “Heuristic evaluation of ambient displays”. In Proceedings of the SIGCHI Conference on Human factors in Computing Systems (ACM, 2003), pp. 169-176. 5. C. Forsell, and J. Johansson, “An heuristic set for evaluation in information visualization”. In Proceedings of the International Conference on Advanced Visual Interfaces (ACM, 2010), pp. 199-206. 6. ISO 9241-11. Ergonomic requirements for office work with visual display terminals (vdts)–part 11: Guidance on usability. ISO Standard 9241-11: 1998. International Organization for Standardization (1998). 7. Holzinger, Usability engineering methods for software developers. Communications of the ACM, 48(1), 71-74 (2005). 8. R. Molich, and C. Wilson, “Tips and tricks for avoiding common problems in usability test facilitation”. In CHI'08 extended abstracts on Human factors in computing systems (ACM, 2008), pp. 2379-2382). 9. F. Gündüz, and A.S.K. Pathan, On the key factors of usability in small-sized mobile touch-screen application. Int. J. Multimed. Ubiquitous Eng, 8(3), 115-138 (2013). 10. A. Hussain, E.O.C. Mkpojiogu, H. Almazini, and H. Almazini, “Assessing the usability of shazam mobile app”. Proceedings of the 2nd International Conference on Applied Science and Technology (ICAST’17), Kedah, Malaysia, (AIP Conference Proceedings, 2017). 11. A. Hussain, E.O.C. Mkpojiogu, J. Musa, and S. Mortada, “A user experience evaluation of amazon kindle mobile application.” Proceedings of the 2nd International Conference on Applied Science and Technology (ICAST’17), Kedah, Malaysia. (AIP Conference Proceedings, 2017). 12. A. Hussain, E.O.C. Mkpojiogu, N.M. Fadzil, and N.M. Hassan, N.M. “The UX of amila pregnancy on mobile device.” Proceedings of the 2nd International Conference on Applied Science and Technology (ICAST’17), Kedah, Malaysia. (AIP Conference Proceedings, 2017). 13. Hussain, A., AbdRazak, M.N.F., Mkpojiogu, E.O.C. and Hamdi, M.M.F. (2017). UX evaluation of a video streaming application with teenage users. Journal of Telecommunication, Electronic & Computer Engineering (JTEC), 9 (2-11), 129-131. 14. A. Hussain, M. Isam, and E.O.C. Mkpojiogu, A UX assessment of a mobile recommender app for household electrical energy savings. Journal of Telecommunication, Electronic & Computer Engineering (JTEC), 9 (2-11) (2017). 15. Hussain, H.A. Razak, and E.O.C. Mkpojiogu, The perceived usability of automated testing tools for mobile applications. Journal of Engineering Science and Technology (JESTEC), 4, 89-97 (2017). 16. Hussain, E.O.C. Mkpojiogu, and N.M.D. Jasin, Usability metrics and methods for public transportation mobile applications: a systematic literature review. Journal of Engineering Science and Technology (JESTEC), 4, 98-105 (2017). 17. A, Dillon, Beyond usability: process, outcome and affect in human-computer interactions. Canadian Journal of Library and Information Science (2002). 18. F. Gündüz, and A.S.K. Pathan, “Usability improvements for touch-screen mobile flight booking application: A case study”. In 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) (IEEE, 2012), pp. 49-54. 19. H. Petrie, and N. Bevan, The evaluation of accessibility, usability, and user experience. In The universal access handbook (CRC Press, 2009) pp. 1-16. 20. A. Kaikkonen, A Kekäläinen, M. Cankar, T. Kallio, and A. Kankainen, Usability testing of mobile applications: A comparison between laboratory and field testing. Journal of Usability Studies, 1(1), 4-16 (2005). 21. R. Inostroza, C. Rusu, S. Roncagliolo, and V. Rusu, “Usability heuristics for touchscreen-based mobile devices: update”. In Proceedings of the 2013 Chilean Conference on Human-Computer Interaction (ACM, 2013), pp. 24-29. 22. J. Nielsen, First rule of usability? Don't listen to users. The Alertbox: Current Is-sues in Web Usability. See:< http://www. useit. com/alertbox/20010805. html (2001). Authors: Azham Hussain, Emmanuel O.C. Mkpojiogu, Kian Lam Tan, Kholilah Hilaluddin, Shahida Jamaludin Paper Title: A Measure of the Effectiveness and Efficiency of an M-Cinema App Abstract: This study presents the results on the usability testing done on Golden Screen Cinema (GSC) mobile appli-cation at two sites: Polytechnic Balik Pulau, Penang and Poly-Tech College Mara (KPTM) Alor Setar, Kedah. The purpose of the testing was to elicit the overall reactions of users to the GSC mobile application with respect to the user interface, terminology and information, application capability and general impression. There were twenty volunteer participants who were recruited for the usability testing. Ten were used at Polytechnic Balik Pulau, Penang while the other ten were used at Kolej Polytech Technology Mara, Alor Setar. Of the 20 participants,17 had no prior experiences on the use of GSC mobile application while 3 had experience on the use of GSC mobile application. The test result showed that the GSC app is both effective and efficient. Thus, indicating that the mobile application has good usability in terms effectiveness and efficiency. However, the participants' facial expressions and body language while performing tasks revealed that some of them had some chal-lenges. Features in the GSC app, such as choosing seats and making payment made some of the participants react uneasily and with caution because of their lack of confidence as it had to do with financial matters. Based on observation, most of the participants looked nervous and felt uneasy during the ses-sion. This was so even though a brief briefing about the test was given to avoid such nervousness. 24. 127-130 Keywords: Effectiveness, efficiency, mobile application; mobile experience; usability testing.

References: 1. Hussain, A, Mkpojiogu, EOC, Yahaya, NB & Bakar, NZBA (2018), A mobile usability assessment of an m-shopping app. Journal of Advanced Research in Dynamical and Control Systems (JARDCS) 10 (SI), 1212-1217. 2. Gündüz, F & Pathan, ASK (2013), On the key factors of usability in small-sized mobile touch-screen application. Int. J. Multimed. Ubiquitous Eng, 8(3), 115-138. 3. Kaikkonen, A, Kekäläinen, A., Cankar, M, Kallio, T & Kankainen, A (2005), Usability testing of mobile applications: A comparison between laboratory and field testing. Journal of Usability Studies, 1(1), 4-16. 4. Hussain, A, Mkpojiogu, EOC, Jamalsse, A & Mohammed, RA (2018), Grab mobile app: a UX assessment on mobile devices. Journal of Advanced Research in Dynamical and Control Systems (JARDCS) 10 (SI), 1233-1238. 5. Liu, F (2008), Usability Evaluations on Websites. School of Art &Design, Wuhan University of Technology, Wuhan, Hubei Province, p: 141. 6. Dumas, JS & Redish, J (1999), A practical Guide to Usability Testing. Intellect Ltd, UK, US. 7. Srivasta, J, Cooley, R, Deshpande, M & Tan, PN (2000), Web Usage Mining: Discovery and Application of Web Usage Pattern from Web Data. Department of Computer Science and Engineering, University of Minnesota. 8. Mkpojiogu, EOC, Hussain, A & Hassan, F (2018), A systematic review of usability quality attributes for the evaluation of mobile learning applications for children. ICAST 2018, AIP Conf. Proc. 2016, https://doi.org/10.1063/1.5055494 9. Icela, L (2017), Usability evaluation focused on user experience ofrepositories related to energy sustainability : A Literature Mapping. 10. Nayebi, F, Desharnais, JM & Abran, A (2012), The state of the art of mobile application usability evaluation, 2012 25th IEEE Can. Conf. Electr. Comput. Eng., 1–4. 11. Paz, F & Pow-Sang, JA (2014), Current Trends in Usability Evaluation Methods: A Systematic Review, 2014 7th Int. Conf. Adv. Softw. Eng. Its Appl., pp: 11–15. 12. Hussain, A, Mkpojiogu, EOC & Suleiman, K (2018), A usability testing of a mobile print shop booking and design application. Journal of Advanced Research in Dynamical and Control Systems (JARDCS) 10 (SI), 1359-1365. 13. Holzinger, A (2005), Usability engineering methods for software developers. Communications of the ACM, 48(1), 71-74. 14. Molich, R, & Wilson, C (2008), Tips and tricks for avoiding common problems in usability test facilitation. CHI'08 extended abstracts on Human factors in computing systems. ACM, pp: 2379-2382. 15. Hussain, A, Mkpojiogu, EOC, Suleiman, K & Alhussian, H (2018), A heuristic evaluation of a mobile print and design shopping application. Journal of Advanced Research in Dynamical and Control Systems (JARDCS) 10 (SI), 1457-1462. Buchanan, S, & Salako, A (2009), Evaluating the usability and usefulness of a digital library. Library Review, 58(9), 638-651. 16. Rubin, J & Chisnell, D (2008), Handbook of Usability Testing: How to Plan, Design, and Conduct Effective Tests. Canada: John Wiley & Sons, Inc. 17. Hussain, A, Mkpojiogu, EOC, Abduljabbar, AM & Almadhagi, AHG (2018). UUM mobile for students: a usability evaluation on two mobile OS platforms. Journal of Advanced Research in Dynamical and Control Systems (JARDCS) 10 (SI), 1514-1519. 18. Gündüz, F & Pathan, ASK (2012), Usability improvements for touch-screen mobile flight booking application: A case study. 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT), IEEE, pp: 49-54. 19. Dillon, A (2002), Beyond usability: process, outcome and affect in human-computer interactions. Canadian Journal of Library and Information Science. 20. Mkpojiogu, EOC & Hussain, A (2018), Assessing the influence of self-reported requirements importance on the perceived quality of proposed software products. ICAST 2018, AIP Conf. Proc. 2016, 020091, https://doi.org/10.1063/1.5055493 21. Ahmad, N, Boota, MW & Masoom, AH (2014), Smart Phone Application Evaluation with Usability Testing Approach, J. Softw. Eng. Appl., 7(12), 1045. 22. Brown, ME & Hocutt, DL (2015), Learning to Use, Useful for Learning: A Usability Study of Google Apps for Education, J. Usability Stud., 10 (4), 160–181. 23. Hussain, A, Mkpojiogu, EOC, Isse, AJ & Mohammed, RA (2018), Grab mobile application: a usability evaluation. ICAST 2018, AIP Conf. Proc. 2016, 020054, https://doi.org/10.1063/1.5055456 24. ISO 9241-11 (1998), Ergonomic requirements for office work with visual display terminals (vdts)–part 11: Guidance on usability. ISO Standard 9241-11: 1998. International Organization for Standardization. 25. Hussain, A, Mkpojiogu, EOC, Yahaya, NB & Bakar, NZBA (2018), A mobile usability assessment of carousell mobile app. ICAST 2018, AIP Conf. Proc. 2016. 020053, https://doi.org/10.1063/1.5055455 26. Bartek, V & Cheatha, MD (2003), Experience Remote Usability Testing, Part 2: Examine the Benefits and downside of Remote Usability Testing. http://www.mendeley.com/research/experience-remote-usability-testing-part-2-examine-benefits-downside-remote-usability- testing/. 27. Hussain, A, Mkpojiogu, EOC, Abduljabbar, AM & Almadhagi, AHG (2018), A usability evaluation of UUM mobile for students app on IOS and android platforms. ICAST 2018, AIP Conf. Proc. 2016, 020052, https://doi.org/10.1063/1.5055454 28. Chau, P. Cole, M, Massey, AP, Montoya-Weiss, M & O’Keefe, RM (2002), Cultural differences in consumer’s online behaviors. Commun. ACM, 45(10), 45-50. 29. Hussain, A, Mkpojiogu, EOC & Hassan, F (2018), Usability dimensions and sub-dimensions for the evaluation of m-learning apps for children: A review. International Journal of Engineering & Technology (IJET) 7 (3.20), 291-295. 30. Forsell, C & Johansson, J (2010), An heuristic set for evaluation in information visualization. Proceedings of the International Conference on Advanced Visual Interfaces, ACM, pp: 199-206. 31. Krippendorff, K (2004), Content Analysis: An introduction to its methodology, (Sage Publications Inc., United States, 2004). 32. Gehrke, D & Turban, E (1999), Determinants of successful website design: Relative importance and recommendations for effectiveness, Proc. 32nd Hawaii Int. Conf. System Sciences. 33. Harrison, R, Flood, D & Duce, D (2013), Usability of mobile applications: Literature Review and Rationale for A New Usability Model, 1– 16. 34. Hussain, A & Mkpojiogu, EOC (2015), An application of the ISO/IEC 25010 standard in the quality-in-use assessment of an online health awareness system, J. Teknol., 77(5) 9–13. 35. El-Gayar, O, Timsina, P, Nawar, N, & Eid, W (2013), Mobile applications for diabetes self-management: Status and potential, J. Diabetes Sci. Technol., 7(1), 247–262. 36. Naismith, L (2004), Literature review in mobile technologies and learning, NESTA Futur. Ser. ; Rep. 11, p: 44. 37. Hussain, A, Abd Razak, MNF, Mkpojiogu, EOC & Hamdi, MMF (2017), UX evaluation of a video streaming application with teenage users. Journal of Telecommunication, Electronic & Computer Engineering (JTEC), 9 (2-11), 129-131. 38. Naslund, JA, Aschbrenner, KA, Marsch, LA & Bartels, SJ (2016), The future of mental health care: Peer-To-peer support and social media, Epidemiol. Psychiatr. Sci., 25 (2), 113–122. 39. Hussain, A, Isam, M & Mkpojiogu, EOC (2017), A UX assessment of a mobile recommender app for household electrical energy savings. Journal of Telecommunication, Electronic & Computer Engineering (JTEC), 9 (2-11) 40. Joo, S, Lin, S & Lu, K (2011), A Usability Evaluation Model for Academic Library Websites: Efficiency, Effectiveness and Learnability, J. Libr. Inf. Stud., 9(2), 11–26. 41. Toribio-Guzmán, JM, García-Holgado, A, Pérez, FS, García-Peñalvo, FJ & Martín, MAF (2016), Study of the Usability of the Private Social Network SocialNet using Heuristic Evaluation, Proc. XVII Int. Conf. Hum. Comput. Interact. - Interacción ’16, pp: 1–5. 42. Hussain, A, Mkpojiogu, EOC & Jasin, NMD (2017), Usability metrics and methods for public transportation applications: a systematic review. Journal of Engineering Science and Technology (JESTEC), Special Issue on ISSC’16, 4, 98-105. 43. Chiang, KP & Dholakia, RR (2003), Factors Driving Consumer Intention to Shop Online: An Empirical Investigation, Journal of Consumer psychology, 13(1&2), 177–183. 44. Hussain, A, Isam, M & Mkpojiogu, EOC (2017), A UX assessment of a mobile recommender app for household electrical energy savings. Journal of Telecommunication, Electronic & Computer Engineering (JTEC), 9 (2-11) 45. Bangor, A, Kortum, P & Miller, J (2009), Determining what individual SUS scores mean: Adding an adjective rating scale. Journal of Usability Studies, 4(3), 114-123. 46. Hussain, A, Mkpojiogu, EOC, Musa, J & Mortada, S (2017), A user experience evaluation of amazon kindle mobile application. Proceedings of the 2nd International Conference on Applied Science and Technology (ICAST’17), Kedah, Malaysia. AIP Conference Proceedings 1891 (1), 020060, http://doi.org/10.1063/1.5005393 47. Nielsen, J (1993), Usability Engineering, Academic Press, United States. 48. Hussain, A, Mkpojiogu, EOC, Fadzil,NM & Hassan, NM (2017), The UX of amila pregnancy on mobile device. Proceedings of the 2nd International Conference on Applied Science and Technology (ICAST’17), Kedah, Malaysia. IP Conference Proceedings 1891 (1), 020061, http://doi.org/10.1063/1.5005394 49. Kiseol, Y & Hye-Young, K (2012), Mobile shopping motivation: an application of multiple discriminant analysis, International Journal of Retail & Distribution Management, 40(10), 778-789. 50. Hussain, A, Mkpojiogu, EOC, Abubakar,H & Hassan, HM (2017), The usability evaluation of mudah.my on mobile device. Proceedings of the 2nd International Conference on Applied Science and Technology (ICAST’17), Kedah, Malaysia. AIP Conference Proceedings 1891 (1), 020058; http://doi.org/10.1063/1.5005391 51. Ferré, X, Juristo, N, Windl, H & Constantine, L, Usability engineering Usability Basics, IEEE Softw., 18 52. Hussain, A, Mkpojiogu, EOC, Jamaludin, NH & Moh, STL (2017), A usability evaluation of Lazada mobile application. Proceedings of the 2nd International Conference on Applied Science and Technology (ICAST’17), Kedah, Malaysia. AIP Conference Proceedings 1891 (1), 020059, http://doi.ord/10.1063/1.5005392 53. Limayem, M, Khalifa, M & Frini, A (2000), What make consumer buy from internet? A Longitudinal study of online shopping. IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans, 30(4). Authors: Azham Hussain, Emmanuel O.C. Mkpojiogu, Shahida Jamaludin, Kholilah Hilaluddin,Shelena Nathan Paper Title: Users’ Perception of their Satisfaction and Experience on a Mobile Cinema Application Abstract: A subjective usability evaluation was carried out on a mobile cinema application (GSC mobile cinema application) to evaluate the satisfaction and experience of its users. The evaluation was done in two areas: Politeknik Balik Pulau, Pulau Pinang and Kolej Poly-Tech Mara (KPTM) Alor Setar, Kedah. The rationale for the assessment was to evaluate the satisfaction and experience of users in terms of their reactions to the mobile application’s interface, terminology and information, application capability and general impression. Twenty volunteers participated in the study. Ten of these participants were at Politeknik Balik Pulau, Pulau Pinang and the other ten were at Kolej Polytech Technology Mara, Alor Setar. The findings indicate that the application’s interface was easy to use, simple, consistent, clear, operable, understandable, fast, error recoverable, learnable and enjoyable.

Keywords: Mobile application; mobile experience; satisfaction.

References: 1. Hussain, A, Mkpojiogu, EOC, Yahaya, NB & Bakar, NZBA (2018), A mobile usability assessment of an m-shopping app. Journal of Advanced Research in Dynamical and Control Systems (JARDCS) 10 (SI), 1212-1217. 2. Gündüz, F & Pathan, ASK (2013), On the key factors of usability in small-sized mobile touch-screen application. Int. J. Multimed. Ubiquitous Eng, 8(3), 115-138. 3. Kaikkonen, A, Kekäläinen, A., Cankar, M, Kallio, T & Kankainen, A (2005), Usability testing of mobile applications: A comparison between laboratory and field testing. Journal of Usability Studies, 1(1), 4-16. 4. Hussain, A, Mkpojiogu, EOC, Jamalsse, A & Mohammed, RA (2018), Grab mobile app: a UX assessment on mobile devices. Journal of Advanced Research in Dynamical and Control Systems (JARDCS) 10 (SI), 1233-1238. 5. Liu, F (2008), Usability Evaluations on Websites. School of Art &Design, Wuhan University of Technology, Wuhan, Hubei Province, p: 141. 6. Dumas, JS & Redish, J (1999), A practical Guide to Usability Testing. Intellect Ltd, UK, US. 7. Srivasta, J, Cooley, R, Deshpande, M & Tan, PN (2000), Web Usage Mining: Discovery and Application of Web Usage Pattern from Web Data. Department of Computer Science and Engineering, University of Minnesota. 8. Mkpojiogu, EOC, Hussain, A & Hassan, F (2018), A systematic review of usability quality attributes for the evaluation of mobile learning applications for children. ICAST 2018, AIP Conf. Proc. 2016, https://doi.org/10.1063/1.5055494 9. Icela, L (2017), Usability evaluation focused on user experience of repositories related to energy sustainability : A Literature Mapping. 10. Nayebi, F, Desharnais, JM & Abran, A (2012), The state of the art of mobile application usability evaluation, 2012 25th IEEE Can. Conf. Electr. Comput. Eng., 1–4. 25. 11. Paz, F & Pow-Sang, JA (2014), Current Trends in Usability Evaluation Methods: A Systematic Review, 2014 7th Int. Conf. Adv. Softw. 131-134 Eng. Its Appl., pp: 11–15. 12. Hussain, A, Mkpojiogu, EOC & Suleiman, K (2018), A usability testing of a mobile print shop booking and design application. Journal of Advanced Research in Dynamical and Control Systems (JARDCS) 10 (SI), 1359-1365. 13. Holzinger, A (2005), Usability engineering methods for software developers. Communications of the ACM, 48(1), 71-74. 14. Molich, R, & Wilson, C (2008), Tips and tricks for avoiding common problems in usability test facilitation. CHI'08 extended abstracts on Human factors in computing systems. ACM, pp: 2379-2382. 15. Hussain, A, Mkpojiogu, EOC, Suleiman, K & Alhussian, H (2018), A heuristic evaluation of a mobile print and design shopping application. Journal of Advanced Research in Dynamical and Control Systems (JARDCS) 10 (SI), 1457-1462. Buchanan, S, & Salako, A (2009), Evaluating the usability and usefulness of a digital library. Library Review, 58(9), 638-651. 16. Rubin, J & Chisnell, D (2008), Handbook of Usability Testing: How to Plan, Design, and Conduct Effective Tests. Canada: John Wiley & Sons, Inc. 17. Hussain, A, Mkpojiogu, EOC, Abduljabbar, AM & Almadhagi, AHG (2018). UUM mobile for students: a usability evaluation on two mobile OS platforms. Journal of Advanced Research in Dynamical and Control Systems (JARDCS) 10 (SI), 1514-1519. 18. Gündüz, F & Pathan, ASK (2012), Usability improvements for touch-screen mobile flight booking application: A case study. 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT), IEEE, pp: 49-54. 19. Dillon, A (2002), Beyond usability: process, outcome and affect in human-computer interactions. Canadian Journal of Library and Information Science. 20. Mkpojiogu, EOC & Hussain, A (2018), Assessing the influence of self-reported requirements importance on the perceived quality of proposed software products. ICAST 2018, AIP Conf. Proc. 2016, 020091, https://doi.org/10.1063/1.5055493 21. Ahmad, N, Boota, MW & Masoom, AH (2014), Smart Phone Application Evaluation with Usability Testing Approach, J. Softw. Eng. Appl., 7(12), 1045. 22. Brown, ME & Hocutt, DL (2015), Learning to Use, Useful for Learning: A Usability Study of Google Apps for Education, J. Usability Stud., 10 (4), 160–181. 23. Hussain, A, Mkpojiogu, EOC, Isse, AJ & Mohammed, RA (2018), Grab mobile application: a usability evaluation. ICAST 2018, AIP Conf. Proc. 2016, 020054, https://doi.org/10.1063/1.5055456 24. ISO 9241-11 (1998), Ergonomic requirements for office work with visual display terminals (vdts)–part 11: Guidance on usability. ISO Standard 9241-11: 1998. International Organization for Standardization. 25. Hussain, A, Mkpojiogu, EOC, Yahaya, NB & Bakar, NZBA (2018), A mobile usability assessment of carousell mobile app. ICAST 2018, AIP Conf. Proc. 2016. 020053, https://doi.org/10.1063/1.5055455 26. Bartek, V & Cheatha, MD (2003), Experience Remote Usability Testing, Part 2: Examine the Benefits and downside of Remote Usability Testing. http://www.mendeley.com/research/experience-remote-usability-testing-part-2-examine-benefits-downside-remote-usability- testing/. 27. Hussain, A, Mkpojiogu, EOC, Abduljabbar, AM & Almadhagi, AHG (2018), A usability evaluation of UUM mobile for students app on IOS and android platforms. ICAST 2018, AIP Conf. Proc. 2016, 020052, https://doi.org/10.1063/1.5055454 28. Chau, P. Cole, M, Massey, AP, Montoya-Weiss, M & O’Keefe, RM (2002), Cultural differences in consumer’s online behaviors. Commun. ACM, 45(10), 45-50. 29. Hussain, A, Mkpojiogu, EOC & Hassan, F (2018), Usability dimensions and sub-dimensions for the evaluation of m-learning apps for children: A review. International Journal of Engineering & Technology (IJET) 7 (3.20), 291-295. 30. Forsell, C & Johansson, J (2010), An heuristic set for evaluation in information visualization. Proceedings of the International Conference on Advanced Visual Interfaces, ACM, pp: 199-206. 31. Krippendorff, K (2004), Content Analysis: An introduction to its methodology, (Sage Publications Inc., United States, 2004). 32. Gehrke, D & Turban, E (1999), Determinants of successful website design: Relative importance and recommendations for effectiveness, Proc. 32nd Hawaii Int. Conf. System Sciences. 33. Harrison, R, Flood, D & Duce, D (2013), Usability of mobile applications: Literature Review and Rationale for A New Usability Model, 1– 16. 34. Hussain, A & Mkpojiogu, EOC (2015), An application of the ISO/IEC 25010 standard in the quality-in-use assessment of an online health awareness system, J. Teknol., 77(5) 9–13. 35. El-Gayar, O, Timsina, P, Nawar, N, & Eid, W (2013), Mobile applications for diabetes self-management: Status and potential, J. Diabetes Sci. Technol., 7(1), 247–262. 36. Naismith, L (2004), Literature review in mobile technologies and learning, NESTA Futur. Ser. ; Rep. 11, p: 44. 37. Hussain, A, Abd Razak, MNF, Mkpojiogu, EOC & Hamdi, MMF (2017), UX evaluation of a video streaming application with teenage users. Journal of Telecommunication, Electronic & Computer Engineering (JTEC), 9 (2-11), 129-131. 38. Naslund, JA, Aschbrenner, KA, Marsch, LA & Bartels, SJ (2016), The future of mental health care: Peer-To-peer support and social media, Epidemiol. Psychiatr. Sci., 25 (2), 113–122. 39. Hussain, A, Isam, M & Mkpojiogu, EOC (2017), A UX assessment of a mobile recommender app for household electrical energy savings. Journal of Telecommunication, Electronic & Computer Engineering (JTEC), 9 (2-11) 40. Joo, S, Lin, S & Lu, K (2011), A Usability Evaluation Model for Academic Library Websites: Efficiency, Effectiveness and Learnability, J. Libr. Inf. Stud., 9(2), 11–26. 41. Toribio-Guzmán, JM, García-Holgado, A, Pérez, FS, García-Peñalvo, FJ & Martín, MAF (2016), Study of the Usability of the Private Social Network SocialNet using Heuristic Evaluation, Proc. XVII Int. Conf. Hum. Comput. Interact. - Interacción ’16, pp: 1–5. 42. Hussain, A, Mkpojiogu, EOC & Jasin, NMD (2017), Usability metrics and methods for public transportation applications: a systematic review. Journal of Engineering Science and Technology (JESTEC), Special Issue on ISSC’16, 4, 98-105. 43. Chiang, KP & Dholakia, RR (2003), Factors Driving Consumer Intention to Shop Online: An Empirical Investigation, Journal of Consumer psychology, 13(1&2), 177–183. 44. Hussain, A, Isam, M & Mkpojiogu, EOC (2017), A UX assessment of a mobile recommender app for household electrical energy savings. Journal of Telecommunication, Electronic & Computer Engineering (JTEC), 9 (2-11) 45. Bangor, A, Kortum, P & Miller, J (2009), Determining what individual SUS scores mean: Adding an adjective rating scale. Journal of Usability Studies, 4(3), 114-123. 46. Hussain, A, Mkpojiogu, EOC, Musa, J & Mortada, S (2017), A user experience evaluation of amazon kindle mobile application. Proceedings of the 2nd International Conference on Applied Science and Technology (ICAST’17), Kedah, Malaysia. AIP Conference Proceedings 1891 (1), 020060, http://doi.org/10.1063/1.5005393 47. Nielsen, J (1993), Usability Engineering, Academic Press, United States. 48. Hussain, A, Mkpojiogu, EOC, Fadzil,NM & Hassan, NM (2017), The UX of amila pregnancy on mobile device. Proceedings of the 2nd International Conference on Applied Science and Technology (ICAST’17), Kedah, Malaysia. IP Conference Proceedings 1891 (1), 020061, http://doi.org/10.1063/1.5005394 49. Kiseol, Y & Hye-Young, K (2012), Mobile shopping motivation: an application of multiple discriminant analysis, International Journal of Retail & Distribution Management, 40(10), 778-789. 50. Hussain, A, Mkpojiogu, EOC, Abubakar,H & Hassan, HM (2017), The usability evaluation of mudah.my on mobile device. Proceedings of the 2nd International Conference on Applied Science and Technology (ICAST’17), Kedah, Malaysia. AIP Conference Proceedings 1891 (1), 020058; http://doi.org/10.1063/1.5005391 51. Ferré, X, Juristo, N, Windl, H & Constantine, L, Usability engineering Usability Basics, IEEE Softw., 18 52. Hussain, A, Mkpojiogu, EOC, Jamaludin, NH & Moh, STL (2017), A usability evaluation of Lazada mobile application. Proceedings of the 2nd International Conference on Applied Science and Technology (ICAST’17), Kedah, Malaysia. AIP Conference Proceedings 1891 (1), 020059, http://doi.ord/10.1063/1.5005392 53. Limayem, M, Khalifa, M & Frini, A (2000), What make consumer buy from internet? A Longitudinal study of online shopping. IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans, 30(4). Authors: Julia Mohd Nor, Adi Irfan Che-Ani, Afaq Hyder Chohan, Wahiza Wahi, Afifuddin Husairi Hussain “Building Defects Management Program” Under Soft Landings Level 3 Performances at Public Paper Title: Universities in Malaysia Abstract:Numerous studies have been carried out on potential factors or characteristics affecting building performance with regards to defects. Statistics in past research shows significant differences in characteristics between building projects with no or few defects as compared to those with many and/ or serious defects at handover. Within the past decades, series of fault and technical failures in government new buildings have caused a very disturbing situation to the construction industry in Malaysia. Numerous efforts followed-up but issues are yet to be resolved. A study is proposed to determine whether the number of defects at handover can be reduced by introducing new P13 Checklist item named Building Defects Management Program under Soft Landings Framework Level 3 approach. Under this program, the team should review JKR 203A Form of Contracts with PWD personnel authorised as a policy maker to revise the existing Form of Contracts to help reduce the number of 26. building defects at handover should it be viable to do so. Building Defects Management Program will be set up on 135-142 samples from 3 selected public universities within Klang Valley area to identify the relationship between defects during building handover and Soft Landings Framework Level 3 approach. Stakeholders’ verification is thus required on potential revision to be made on existing JKR 203A Form of Contracts among which are the positioning of As-built Drawings as a Preliminary item, the option of using “WJP” (Wang Jaminan Pelaksanaan) as retentions rather than Performance Bond, release of 50% of Performance Bond after CPC is issued and also O&M manuals being part of the Contracts instead of being part of CCC mandatory submissions. The outcome of the study is expected to affirm the relationship between defects during handover and Soft Landings Framework Level 3 approach at public universities in Malaysia.

Keywords:Defects, Soft landings, building handover, public universities, Malaysia

References: 1. Abdul Lateef Ol anrewaju, A. (2012). Quantitative Analysis of Defects in University Buildings: User Perspective. Built Environment Project and Asset Management, Vol. 2, No.2, 2012, pp 167-181. 2. Burati, J.L., Farrington, J.J. and Letbetter, W.B. (1992). Causes of Quality Deviations in Design and Construction. Journal of Construction Engineering and Management, Vol. 118, Issue 1, 1992. 3. Designing Buildings Wiki “Soft Landings”, BSRIA, 2015. 4. Eizzatul Ain, S., Hishamuddin, M.A. and Suwaibatul Islamiah, A.S. (2012). A Review of the Effect of Building Design on Maintenance Management. 3rd International Conference on Business and Economic Research (3rd ICBER 2012) Proceeding. 5. Josephson, P.-E. and Hammarlund, Y. (1999). The Causes and Costs of Defects in Construction: A Study of Seven Building Projects. Journal of Automation in Construction, Vol. 8, Issue 6, pp 681-687, 1999. 6. Love, P.E.D. and Josephson, P.E. (2004). Role of Error-Recovery Process in Projects. Journal of Management in Engineering, Vol. 20, Issue 2, 2004. 7. Love, P.E.D., Lopez, R. and Edwards, D.J. (2013). Reviewing the Past to Learn in the Future: Making Sense of Design Errors and Failures in Construction. Journal of Structure and Infrastructure Engineering: Maintenance, Management, Life Cycle Design and Performance, Vol. 9, Issue 7, 2013. 8. Mark Way (2005). Soft Landings: A Fresh Scope of Service that Ensures Users and Clients Get the Best Out of a New Building. Journal of Facilities Management, Vol. 4, No. 1, 2005, pp 23-39. 9. Schultz, C.S., Jorgensen, K., Bonke, S., Mikael, G. and Rasmussen, G. (2015). Building Defects in Danish Construction: Project Characteristics Influencing the Occurrence of Defects at Handover. Architectural Engineering and Design Management, Vol. 11, No. 6, 2015, pp 423-439. 10. Soft Landings: Cloosing the Loop, BSRIA 2/2012. 11. The Soft Landings Framework Australia and New Zealand: For Better Briefing, Handover and Building Performance in Use. CIBSE ANZ 1/2014. 12. The Soft Landings Framework UBT BSRIA - For Better Briefing, Handover and Building Performance in Use. BSRIA BG 4/2009. 13. The Sun (25 May 2007), The Star (25 April 2007, 3 June 2009, 20 February 2013), Utusan (3 June 2009) and Bernama (21 February 2013). 14. Zawawi, E.M.A. and Kamaruzzaman, S.N. (2010). Assessment of Building Maintenance Management in Malaysia: Resolving Using a Solution Diagram. Journal of Retail & Leisure Property, Vol. 9, Issue 4, 2010, pp 349-356. Authors: Harish.K.A, B.Jeya Prabha Performance on the Work-related Stress and Job contentment of Primary School Teachers of Paper Title: Government and Private Sectors Abstract:Teachers have the majority of ingenious personnel and they are not only consider to schools as well as colleges although to for our society. They are shaping the people by their powerful intervention in the life of students. Stress is considered unavoidable in one’s life due to excessive and an increasing workload which leads to complex and multiple dimensional problems in our everyday life of oneself. The world is off-late is said to be a scope of achievement alongside world of stress. Stress is found to be with everyone and at everywhere, starting from our own family, the community circle that we belong to, the society around us and above all the place of work that we're in. Right form birth to death, each and every individual is exposed to stress. The current experimental investigation is discovered the relevant issues corresponding for the stress through job as well as the level of the precaution safety between teachers through reviewing correspondent literatures by earlier results. The example volume of N is 500 is considered also the example recognized population of Chennai teachers as well as its periphery of together private as well as government schools. It is understood through earlier studies as well as investigation so as to stress between teachers has huge level in the current scenario. Hence, the authorities need gets awareness those issues of stress as well as suitable action taken for necessary steps to cope familiar with the changing lives in order to enhance the productivity of the teaching community which is the need of the hour.

Keywords:Stress and Job contentment,Primary School Teachers,Government and Private Sectors

References: 1. Raj,T.,&Lalita (2013). Job Satisfaction among Teachers of Private and Government School: A Comparative Analysis. International Journal 27. of Social Science & InterdisciplinaryResearch, 2 (9). 143-147 2. Mabekoje, S. O. (2009). Gender Differences in Job Satisfaction among Secondary School Teachers. African Journal of Research in Personnel and Counselling Psychology, 1 (1), 99-108 3. Achanta, S., & Reddy, V. D. (2014). Job Satisfaction Among Primary School Teachers In Krishna District. PARIPEX - INDIAN JOURNAL OF RESEARCH, 3 (12), 95-96. 4. Gakhar, S., Markanda, S., Pautela, R. Job Satisfaction Among Primary, Middle and Secondary School Teachers. Journal of the Institute of Educational Research, Vol.8, No.2, May 1984. 5. Ahmad, N., Raheem, A. and Jamal, S. (2003). Job satisfaction among school teachers.The Educational Review, 46(7),123-126 6. Anbuchelvan, C., 2010, “Occupational Stress of High School Teachers”, EduTracks, 9 (9), pp. 31-33. Bachkivora, T. (2005). Teachers stress and personal values: An exploratory study. School Psychology International, 26(3), 340-352. 7. Jennifer Hart, “Study finds women faculty experience more stress than men in higher education”, Black Issues in Higher Education, 24th March, 2005,pp.43-54. 8. R. Ravichandran and R. Rajendran ,“ Perceived Sources of Stress Among the Teachers” , Journal of the Indian Academy of Applied Psychology 2007, Vol. 7 Iss. 4. 9. ShilpiGoyaland and RuchiGoel, “Stress Level Among Teachers of Public and Private Sector Institutions : An Empirical Investigation”, International Journal Of Indian Culture and Business Management Vol. 2 No. 4, 2009 10. Jeyaraj S.S. (2013). Occupational stress among the teachers of the higher secondary schools in Madurai district, Tamil Nadu. IOSR Journal of Business and Management, 7(5), 63-76. 11. Reddy G.L. and Anuradha R.V. (2013). Occupational stress of higher secondary teachers working in Vellore district.International Journal of Educational Planning & Administration, 3 (1), 9-24. 12. Bindu, C.M. (2007). Relationship between Job Satisfaction and Stress Coping Skills of Primary School Teachers. Edutracks, 6(5), 34-36. 13. Gaziel, H.H.(1993).Coping with Occupational Stress among Teachers: a cross- cultural study. Comparative Education, 29(1), 67-79. 14. Muthu velayutham, C. and Mohanasundaram, H. (2012). A Study on the Impact of Occupational Stress among Teachers on Job Satisfaction and Job Involvement- An Empirical Study.European Journal of Social Sciences, 30(2), 339-351. 15. Reglin, G. &Reitzammer, R.A. (1997). Dealing with the stress of teachers. Education. 118(4), 590-597. 16. Satvinderpal (2011). Job Satisfaction and Occupational Stress among School Teachers: A Correlational Study. Shodh, Samikshaaur, Mulyankan 3(34), 49-50. Authors: Fariza Hanim Rusly, Aidi Ahmi, Yurita Yakimin Abdul Talib, Khairina Rosli Paper Title: Global Perspective on Payroll System Patent and Research: A Bibliometric Performance Abstract: This study explores the global perspective of payroll research and patent innovations for the past 50 years. The aims are to offer insights into payroll research and publication characteristics, and to highlight patterns and trends of the payroll systems development. Data are based on the Scopus database up to year 2018. Articles related to payroll were assessed by many aspects including growth of patent and publication, documents and source types, language of publications, subject area, geographical distribution of publications, keyword and citation analyses. From the result of the bibliometric analysis, it can be concluded that payroll systems patent developments are increasing, while publication of payroll empirical studies are quite low in number. Consequently, apart from uncovers innovation and commercialization efforts of payroll systems, this paper proposes that more empirical studies are needed in the area. Greater number of empirical studies will enable exploration of further insights on socio-technical elements and behavioral impacts of payroll systems implementation in organizations. Such studies could discover whether developed and patented systems are worth-investing and impacting on the quality of work and life of the users.

Keywords: Payroll System, Patent, Innovation, Bibliometric Analysis.

References: 1. N. H. Abdulah, E. Wahab, A. Shamsuddin, and N. A. Abdul Hamid, “Acceptance of Computerized Payroll System among SMEs’ Managers using Technology Acceptance Model,” in 2nd International Conference on Technology Management, Business and Entrepreneurship, 2013, pp. 301–307. 2. S. Q. Batool, D. M. A. Sajid, and D. S. H. Raza., “Benefits and Barriers of Human Resource Information System in Accounts Office & Azad Jammu & Kashmir Community Development Program,” Int. J. Humanit. Soc. Sci., vol. 2, no. 3, pp. 211–217, 2012. 3. F. H. Rusly, A. Ahmi, Y. Y. Abdul Talib, and K. Rosli, “Payroll system: A bibliometric analysis of the literature,” in AIP Conference Proceedings, 2018, vol. 2016, p. 020124. 4. E. Mansfield, “Patents and Innovation: An Empirical Study,” Manage. Sci., vol. 32, no. 2, pp. 173–181, Feb. 1986. 5. F. Narin, E. Noma, and R. Perry, “Patents as indicators of corporate technological strength,” Res. Policy, vol. 16, no. 2–4, pp. 143–155, Aug. 1987. 28. 6. J. Moore and Q. Cui, “GIS analysis of U.S. patent data,” in Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications - COM.Geo ’11, 2011, pp. 1–6. 148-157 7. J. A. Hall, Accounting Information Systems, 6th Edition. USA: Cengage Learning, 2013. 8. F. H. Rusly, A. Ahmi, N. Khairudin, K. Rosli, and Y. Y. Abdul Talib, “SQL Payroll Training Module,” Sintok, Malaysia: Institute for Strategic and Sustainable Accounting Development (ISSAD), 2018. 9. M. Steven, Accounting for Payroll: A Comprehensive Guide. New Jersey: John Wiley and Sons, 2004. 10. Y. Chuang, “Payroll system-from the economic to the society,” National Sun Yat-sen University, 2015. 11. R. Rozbehani, S. E. S. E. S. E. Maleki, M. KazemPour-Dizaji, S. E. S. E. S. E. Maleki, and A. Javanbakht, “The Effect of Implementing a Performance-Based Payroll System on Employee Satisfaction in a State Hospital (A Case Study of Masih Daneshvari Hospital),” IIOAB J., vol. 7, no. 2, pp. 618–626, 2016. 12. C. Michael Hall, “Publish and perish? Bibliometric analysis, journal ranking and the assessment of research quality in tourism,” Tour. Manag., vol. 32, no. 1, pp. 16–27, 2011. 13. T. U. Daim, G. Rueda, H. Martin, and P. Gerdsri, “Forecasting emerging technologies: Use of bibliometrics and patent analysis,” Technol. Forecast. Soc. Change, vol. 73, no. 8, pp. 981–1012, Oct. 2006. 14. Y. S. Ho, “Bibliometric analysis of adsorption technology in environmental science,” J. Environ. Prot. Sci., vol. 1, no. 1, pp. 1–11, 2007. 15. V. Singh, “Development of a methodology for scientometric analysis. Application to study worldwide research on hardware architecture and cybernetics,” Universidad Politécnica de Madrid, 2013. 16. A. H. Hawley, “U.S. Patent No. 1,192,629,” 1916. 17. D. Reizer and J. L. Harbison, “By-Products of a Hospital Payroll System,” pp. 133–136, 1969. 18. W. M. Sweileh, S. W. Al-Jabi, A. S. AbuTaha, S. H. Zyoud, F. M. A. Anayah, and A. F. Sawalha, “Bibliometric analysis of worldwide scientific literature in mobile - health: 2006–2016,” BMC Med. Inform. Decis. Mak., vol. 17, no. 1, p. 72, Dec. 2017. 19. M. D. Myers, “A disaster for everyone to see: An interpretive analysis of a failed is project,” Accounting, Manag. Inf. Technol., vol. 4, no. 4, pp. 185–201, Jan. 1994. 20. M. D. Fraser, K. Kumar, and V. K. Vaishnavi, “Informal and formal requirements specification languages: bridging the gap,” IEEE Trans. Softw. Eng., vol. 17, no. 5, pp. 454–466, May 1991. 21. J. E. Hunton and K. H. Price, “Effects of the User Participation Process and Task Meaningfulness on Key Information System Outcomes,” Manage. Sci., vol. 43, no. 6, pp. 797–812, Jun. 1997. 22. R. W. Jeffery, J. L. Forster, and M. K. Snell, “Promoting weight control at the worksite: a pilot program of self-motivation using payroll- based incentives.,” Prev. Med. (Baltim)., vol. 14, no. 2, pp. 187–94, Mar. 1985. 23. R. L. Arenson, F. van der Voorde, and J. F. Stevens, “Improved financial management of the radiology department with a microcosting system.,” Radiology, vol. 166, no. 1, pp. 255–259, Jan. 1988. 24. B. Stepien, A. Felty, and S. Matwin, “A Non-technical User-Oriented Display Notation for XACML Conditions,” 2009, pp. 53–64. 25. S. Cota, “For certain eyes only,” DB2 Mag., vol. 9, no. 1, pp. 40–45, 2004. Authors: Syafrina Abdul Halim Delta Change Method with Cyclic Covariate Generalized Extreme Value Model for Downscaling Paper Title: Extreme Rainfall Abstract: In meteorological data, lots of variables have annual, seasonal or diurnal cycles. These would be based on different climatic patterns in different seasons rising sea levels. The delta change approach is one of the statistical downscaling methods that used to downscale global climate model data in order to use it as a future 29. input for hydrological models and flood risk assessment. In this work, a non-stationary GEV model with cyclic 158-161 covariate structure for modelling magnitude and variation of data series with some degrees of correlation for real- world applications is proposed. All extreme events were calculated assuming that maximum annual daily precipitations follow the GEV distribution. The method makes it possible to identify and estimate the impacts of multiple time scales-such as seasonality, interdecadal variability, and secular trends-throughout the area, scale, and shape parameters of extreme sea level probability distribution. The incorporation of seasonal effects describes a huge amount of data variability, permitting the methods involved to be estimated more efficiently. Next, the technique of delta-change was implemented to the mean annual rainfall and also the regular rainfall occurrences of 5, 10, 20, 50 and 100 years of return. The capability of the proposed model will be tested to one rainfall station in Sabah. The new model suggesting improvement over the stationary model based on the p-value which is highly significant (approximate to 0). GEV model with cyclic covariate on both location and scale parameters is able to capture the seasonality factor in rainfall data. Hence, a reliable delta-change model has been developed in this study. This could produce more accurate projection of rainfall in the future.

Keywords: covariate, cyclic, delta-change, generalized extreme value, rainfall.

References: 1. Hoar, T., Nychka, D. Statistical downscaling of the community climate system model (CCSM) monthly temperature and precipitation projections. White paper preprint, Institute for Mathematics Applied to Geosciences/ National Center for Atmospheric Research, Boulder, CO80307, 2018. 2. Gleick P.H. Methods for evaluating the regional hydrologic effects of global climate changes. J Hydrol, 88:97–116, 1986. 3. Arnell N.W. Global warming, river: flows and water resources. Wiley, Chichester, 1996. 4. Towler, E., B. Rajagopalan, E. Gilleland, R. S. Summers, D. Yates, and R. W. Katz, Modeling hydrologic and water quality extremes in a changing climate: A statistical approach based on extreme value theory, Water Resour. Res., 46, 2010, W11504, doi:10.1029/2009WR008876. 5. Sarr, M.A.; Seidou, O.; Tramblay, Y.; Adlouni, S. Journal of Hydrology: Regional Studies Comparison of downscaling methods for mean and extreme precipitation in Senegal. J. Hydrol. Reg. Stud. 4, 369–385, 2015. 6. Jenkinson, A. F. The frequency distribution of the annual maximum (or minimum) values of meteorological elements. Quarterly Journal of the Royal Meteorological Society, 81(348), 158-171, 1955. 7. Katz, R., Parlange, M., Naveau, P. Statistics of extremes in hydrology. - Adv Water Resour 25, 1287–1304, 2002. 8. Tramblay, Y., Badi, W., Driouech, F., Neppel, El. S., Servat, L.E. Climate change impacts on extreme precipitation in Morocco. Glob. Planet. Change 82–83, 104–114, 2012. 9. Sarr, M.A., Gachon, P., Seidou, O., Bryant, C.R., Ndione, J., Comby, J. Inconsistent linear trends in Senegalese rainfall data indices from 1950 to 2007. Hydrol. Sci. J. 2014. 10. Syafrina, A. H., M. D. Zalina, and L. Juneng. Historical trend of hourly extreme rainfall in peninsular Malaysia,Theor. Appl. Climatol.,120,259–285, 2014. Authors: Jason Teo, Jia Tian Chia, Jie Yu Lee Paper Title: Deep Learning for Emotion Recognition in Affective Virtual Reality and Music Applications Abstract: This paper presents a deep learning approach to emotion recognition as applied to virtual reality and music predictive analytics. Firstly, it investigates the deep parameter tuning of the multi-hidden layer neural networks, which are also commonly referred to simply as deep networks that are used to conduct emotion detection in virtual reality (VR)-electroencephalography (EEG) predictive analytics. Deep networks have been studied extensively over the last decade and have shown to be among the most accurate methods for predictive analytics in image recognition and speech processing domains. However, most predictive analytics deep network studies focus on the shallow parameter tuning when attempting to boost prediction accuracies, which includes deep network tuning parameters such as number of hidden layers, number of hidden nodes per hidden layer and the types of activation functions used in the hidden nodes. Much less effort has been put into investigating the tuning of deep parameters such as input dropout ratios, L1 (lasso) regularization and L2 (ridge regularization) parameters of the deep networks. As such, the goal of this study is to perform a parameter tuning investigation on these deep parameters of the deep networks for predicting emotions in a virtual reality environment using electroencephalography (EEG) signal obtained when the user is exposed to immersive content. The results show that deep tuning of deep networks in VR-EEG can improve the accuracies of predicting emotions. The best emotion prediction accuracy was improved to over 96% after deep tuning was conducted on the deep network parameters of input dropout ratio, L1 and L2 regularization parameters. Secondly, it investigates a similar possible 30. approach when applied to 4-quadrant music emotion recognition. Recent studies have been characterizing music 162-170 based on music genres and various classification techniques have been used to achieve the best accuracy rate. Several researches on deep learning have shown outstanding results in relation to dimensional music emotion recognition. Yet, there is no concrete and concise description to express music. In regards to this research gap, a research using more detailed metadata on two-dimensional emotion annotations based on the Russell’s model is conducted. Rather than applying music genres or lyrics into machine learning algorithm to MER, higher representation of music information, acoustic features are used. In conjunction with the four classes classification problem, an available dataset named AMG1608 is feed into a training model built from deep neural network. The dataset is first preprocessed to get full access of variables before any machine learning is done. The classification rate is then collected by running the scripts in R environment. The preliminary result showed a classification rate of 46.0%.Experiments on architecture and hyper-parameter tuning as well as instance reduction were designed and conducted. The tuned parameters that increased the accuracy for deep learners were hidden layer architecture, number of epochs, instance reduction, input dropout ratio and ℓ1 and ℓ2 regularization. The final best prediction accuracy obtained was 61.7%, giving an overall improvement of more than 15% for music emotion recognition which are based purely on the music’s acoustical features.

Keywords: neuroinformatics, virtual reality, deep learning, electroencephalography, emotion classification, music emotion recognition, acoustic features. References: 1. Hazarika, D., Gorantla, S., Poria, S. and Zimmermann, R., 2018, April. Self-attentive feature-level fusion for multimodal emotion detection. In 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) (pp. 196-201). IEEE. 2. Richer, R., Zhao, N., Amores, J., Eskofier, B.M. and Paradiso, J.A., 2018, July. Real-time Mental State Recognition using a Wearable EEG. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 5495-5498). IEEE. 3. Cook, D., 2016. Practical machine learning with H2O: powerful, scalable techniques for deep learning and AI. O'Reilly Media, Inc. 4. Mercer, C. and Macaulay, T. 2018. https://www.techworld.com/picture-gallery/data/tech-giants-investing-in-artificial-intelligence- 3629737/ (accessed 27 Feb 2019). 5. Rostykus, B. 2017.https://medium.com/@NetflixTechBlog/introducing-vectorflow-fe10d7f126b8 (accessed 27 February 2019). 6. Srengers, J., Martinez, E.J., Simpraga, S., Jansen, F., Vlaskamp, C., Oranje, B., Poil, S.S., Linkenkaer-Hansen, K. and Bruining, H., 2017. O132 An EEG-based decision-support system for diagnosis and prognosis of autism spectrum disorder. Clinical Neurophysiology, 128(9), p.e221. 7. Wang, P., Min, J. and Hu, J., 2018. Ensemble classifier for driver's fatigue detection based on a single EEG channel. IET Intelligent Transport Systems, 12(10), pp.1322-1328. 8. Schwarz, D., Subramanian, V., Zhuang, K. and Adamczyk, C., 2014, September. Educational neurogaming: Eeg-controlled videogames as interactive teaching tools for introductory neuroscience. In Tenth Artificial Intelligence and Interactive Digital Entertainment Conference. 9. Lee, H., Pham, P., Largman, Y., and Ng, A. Y. 2009. Unsupervised feature learning for audio classification using convolutional deep belief networks. In Advances in Neural Information Processing Systems, pp. 1096-1104. 10. Shao, X., Xu, C., andKankanhalli, M. S. 2004. Unsupervised classification of music genre using Hidden Markov Model. In 2004 IEEE International Conference on Multimedia and Expo (ICME), Vol. 3, pp. 2023-2026, IEEE. 11. Hamel, P., and Eck, D. 2010. Learning features from music audio with deep belief networks. In ISMIR, Vol. 10, pp. 339-344. 12. Li, T. L., Chan, A. B., and Chun, A. 2010. Automatic musical pattern feature extraction using convolutional neural network. In Proc. Int. Conf. Data Mining and Applications, Vol. 161. 13. Dahl, G. E., Sainath, T. N., and Hinton, G. E. 2013. Improving deep neural networks for LVCSR using rectified linear units and dropout. In 2013 IEEE international conference on acoustics, speech and signal processing, pp. 8609-8613, IEEE. 14. Sigtia, S., and Dixon, S. 2014. Improved music feature learning with deep neural networks. In 2014 IEEE international conference on acoustics, speech and signal processing (ICASSP),pp. 6959-6963, IEEE. 15. Krigolson, O.E., Williams, C.C., Norton, A., Hassall, C.D. and Colino, F.L., 2017. Choosing MUSE: Validation of a low-cost, portable EEG system for ERP research. Frontiers in neuroscience, 11, p.109. 16. Klem, GH; Lüders, HO; Jasper, and HH; Elger, C. 1999. "The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology". Electroencephalography and Clinical Neurophysiology. Supplement. 52: 3–6. PMID 10590970. 17. Amin, A., Gromala, D., Tong, X., and Shaw, C. 2016. Immersion in cardboard VR compared to a traditional head-mounted display. In International Conference on Virtual, Augmented and Mixed Reality, pp. 269-276. Springer, Cham. 18. Che, X., Ip, B., and Lin, L. 2015. A survey of current YouTube video characteristics. IEEE Multimedia. 19. Chen, Y. A., Yang, Y. H., Wang, J. C., and Chen, H. 2015. The AMG1608 dataset for music emotion recognition. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 693-697, IEEE. 20. Han, S., Pool, J., Tran, J., and Dally, W. 2015. Learning both weights and connections for efficient neural network. In Advances in neural information processing systems, pp. 1135-1143. 21. Ng, A. Y. 2004. Feature selection, L 1 vs. L 2 regularization, and rotational invariance. In Proceedings of the twenty-first international conference on machine learning, p. 78. ACM. 22. D. Nguyen, B. Widrow, “Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights”, in: Neural Networks, 1990. 1990 IJCNN International Joint Conference on, IEEE, pp. 21-26(1990). 23. P.T. De Boer, D.P. Kroese, S.Mannor, and R.Y. Rubinstein, “A tutorial on the cross-entropy method”, Annals of operations research, 134(1):19-67 (2005). 24. V. Nair, G. E. Hinton, “Rectified linear units improve restricted Boltzmann machines”, in: Proceedings of the 27th International Conference on Machine Learning (ICML-10), pp. 807-814 (2010). 25. Shafer, B., Yaghouby, F. and Vasudevan, S., 2018, July. Short-Time Fourier Transform Based Spike Detection of Spontaneous Peripheral Nerve Activity. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 2418-2421). IEEE. 26. Verma, R. and Dekar, R., 2018. Sleep Disorder Detection by Welch Algorithm Based PSD Analysis on EEG Signals. Sleep, 5(06). Authors: Ching Yee Yong, Rubita Sudirman, Kim Mey Chew Paper Title: Gait Processing and Performance using Angular Velocity and Leaping Angle Parameters Abstract:Gait analysis is a process of learning the motion of human and animal by wearable sensor approach or/and vision approach. This analysis mainly used in medical and sports field where the study of body parts is crucial. 3-space sensor consists of accelerometer, gyroscope and compass sensors, built in one device. In this project, 3-space sensor was used to collect the data of walking and jogging motion, from test subjects performing those activities on a treadmill. Two components of motion, the angular velocity of the test subjects’ arm and the angle of leaping motion were selected and investigated. The data were then analyzed and processed using MATLAB using Principal of Component Analysis (PCA). PCA was used in gait analysis due to its ability to combine and reduce the number of variables of the obtained data. This method able to ease the flow of analysis 31. since the variables had been reduced. The function called “Quiver” was used in order to generate the vector for each point plotted in the graph for both motions. Lastly, the accuracy of the analyzing process (70 % for walking 171-174 and 100 % for jogging motions) will be used to create a system that can recognize the motion on any given data.

Keywords:Motion clustering, angular velocity, leaping angle, PCA.

References: 1. G. Pons-Moll, J. Romero, N. Mahmood, and M. J. Black, ACM Transactions on Graphics (TOG) 34, pp. 120, 2015. 2. C.Y. Yong, S. Rubita, M. Nasrul Humaimi, and K.M. Chew, Human body and body part movement analysis using gyroscope, accelerometer and compass. In Applied Mechanics and Materials, vol. 284, pp. 3120-3125. Trans Tech Publications, 2013. 3. M.Shoaib, S. Bosch, O.D. Incel, H. Scholten, P.J. Havinga, Complex human activity recognition using smartphone and wrist-worn motion sensors. Sensors, 16(4), pp. 426, 2016. 4. G. Marin, F. Dominio, and P. Zanuttigh, Hand gesture recognition with jointly calibrated leap motion and depth sensor. Multimedia Tools and Applications, 75(22), pp.14991-15015, 2016. 5. W. Lu, Z. Tong, and J. Chu, Dynamic hand gesture recognition with leap motion controller. IEEE Signal Processing Letters, 23(9), pp.1188-1192, 2016. 6. S. S. Rautaray and A. Agrawal, Artificial Intelligence Review 43, pp. 1–54, 2015. 7. L. Bai, M. G. Pepper, Y. Yan, S. K. Spurgeon, M. Sakel, and M. Phillips, IEEE Transactions on NeuralSystems and Rehabilitation Engineering 23, 232–243, 2015. 8. A. Muro-De-La-Herran, B. Garcia-Zapirain, and A. Mendez-Zorrilla, Sensors 14, 3362–3394, 2014. 9. D. Mathias, in Staying Healthy From 1 to 100 (Springer, 2016), pp. 82–82. 10. G.Herink, D. R. Solli, M.Gulde, and C.Ropers, Field-driven photoemission from nanostructures quenches the quiver motion. Nature, 483(7388), pp.190, 2012. Authors: Idyawati Hussein, Azham Hussain, Emmanuel O.C.Mkpojiogu, ZarulFitri Zaba The User Centred Design (UCD) and User Experience Design (UXD) Practice In Industry: Performance Paper Title: Methods and Practice Constraints Abstract: This study reviews the methods used in investigating user centred design (UCD) practice in industry as well as the constraints to the practice of UCD and user experience design (UXD) in industry using systematic literature review approach. Thirty-five high profile papers were reviewed and the result showed that among others, low-profile usability professionals in the development process, usability not being accepted as a key quality, usability not supporting product development time, resistance to usability, lack of awareness, and time constraints are the constraints facing UCD and UXD in practice. Most software development studies also found constraints between developers and users. The study’s outcome also revealed that most investigations carried out to assess UCD/UXD practice was done using surveys (66%) followed by interviews (29%).

Keywords: Investigative methods, User centred design, User experience design, UXD practice constraints

References: 1. Ardito, C., Buono, P., Caivano, D., Costabile, M. F., Lanzilotti, R., Bruun, A., & Stage, J. (2011). Usability evaluation: a survey of software development organisations. Paper presented at the SEKE. 2. Ardito, C., Buono, P., Caivano, D. V., Costabile, M. F., & Lanzilotti, R. (2013). Investigating and promoting UX practice in industry: an experimental study. International Journal of Human-Computer studies. 3. Bak, J. O., Nguyen, K., Risgaard, P., & Stage, J. (2008). Obstacles to usability evaluation in practice: a survey of software development organizations. Paper presented at the NordiHCI 2008, Lund, Sweden. 4. Bannon, L. (1991). From human factors to human actors: The role of psychology and Human-Computer Interaction studies in systems design. In J. Green & M. Kyng (Eds.), Design at Work: Cooperative Design of Computer Systems (pp. 25-44). Hillsdale: Lawrence Erlbaum Associates 5. Borgholm, T., & Madsen, K. H. (1999). Cooperative usability practices. Communications of the ACM, 42(5), 91-97. 6. Butler, K. A. B. (1985). Connecting theory and practice: a case study of achieving usability goals. SIGCHI Bull., 16(4), 85-88. doi: 10.1145/1165385.317472 7. Buie, E., Dray, S., Instone, K., Jain, J., Lindgaard, G. & Lund, A. (2010). How to bring HCI research and practice closer together. Paper presented at the Proceedings of the 28th of the international conference extended abstracts on Human factors in computing systems, Atlanta, Georgia, USA. 8. Bygstad, B., Ghinea, G., & Brevik, E. (2008). Software development methods and usability: Perspectives from a survey in the software industry in Norway. Interacting with Computers, 20(3), 375-385. doi: 10.1016/j.intcom.2007.12.001 32. 9. Chaiklin, S. (2011). Social Scientific Research and Societal Practice: Action Research and Cultural-Historical Research in Methodological 175-182 Light from Kurt Lewin and Lev S. Vygotsky. Mind, Culture, and Activity, 18(2), 129-147. doi: 10.1080/10749039.2010.513752 10. Clemmensen, T., Hertzum, M., Yang, J., & Chen, Y. (2013). Do Usability Professionals Think about User Experience in the Same Way as Users and Developers Do? In P. Kotzé, G. Marsden, G. Lindgaard, J. Wesson & M. Winckler (Eds.), Human-Computer Interaction – INTERACT 2013, Vol. 8118, Springer Berlin Heidelberg, 461-478. 11. Curtis, B., Krasner, H., & Iscoe, N. (1988). A field study of the software design process for large systems. Communication of the ACM, 31(11), 1268-1287. 12. Dillon, A., Sweney, M., & Maguire, M. (1993). A survey of usability evaluation practices and requirements in the European IT industry. Paper presented at the HCI'93, Cambridge. 13. Forlizzi, J., & Ford, S. (2000). The building blocks of experience: an early framework for interaction designers. In Proceedings of the 3rd conference on Designing interactive systems: processes, practices, methods, and techniques. ACM.419-423. 14. Goransson, B., Lind, M., Pettersson, E., Sandblad, B., & Schwalbe, P. (1986). The interface is often not the problem. SIGCHI Bull., 17(SI), 133-136. doi: 10.1145/30851.30872 15. Gould, J.D., & Lewis, C. (1985). Designing for usability: Key principles and what designers think. Communications of the ACM, 28, 300- 311. 16. Grudin, J. (1991). Bridging the gaps between developers and users (2nd ed. Vol. 4). San Francisco: Morgan Kaufmann. 17. Grudin, J., & Poltrock, S. E. (1989). User interface design in large corporations: coordination and communication across disciplines. SIGCHI Bull., 20(SI), 197-203. doi: 10.1145/67450.67489 18. Gulliksen, J., Lants, A., & Boivie, I. (1999). User centered design - Problems and possibilities. A summary of the 1998 PDC & CSCW workshop, SIGCHI Bulletin, Seattle, USA, 2-31. 19. Gulliksen, J., & Lantz, A. (2001). Design versus design-from the shaping of product to the creation of user experiences. 20. Gunther, R., Janis, J., & Butler, S. (2001). The UCD decision matrix: how, when, and where to sell user-centered design into the development cycle. Ovo Studios Usability Labs and Services. 21. Hakiel, S. (1999). Sufficient and necessary conditions for routine deployment of user-centred design. Paper presented at the IEEE Colloquium on Human Computer Interaction. 22. Hammond, N., Jorgensen, A. , MacLean, A. , Barnard, P., & Long, J. (1983). Design practice and interface usability: Evidence from interviews with designers. Paper presented at the Proceedings of the SIGCHI conference on Human Factors in Computing Systems, Boston, Massachusetts, United States. 23. Hashim N.L., Adamu R. (2017). Usability evaluation of mobile banking application interfaces. Journal of Engineering and Applied Sciences, Vol 12, Issue 21 24. Helander, M. G., & Khalid, H. M. (2006). Affective and pleasurable design. Handbook of Human Factors and Ergonomics, Third Edition, 543-572. 25. Higgins, J. P. (Ed.). (2008). Cochrane handbook for systematic reviews of interventions (Vol. 5). Chichester: Wiley-Blackwell. 26. Holmstrom, J., & Sawyer, S. (2011). Requirements engineering blinders: exploring information systems developers/' black-boxing of the emergent character of requirements. European Journal Information System, 20(1), 34-47. 27. Hussain, A., Abdullah,A., Husni, H., & Mkpojiogu, E.O.C. (2016). Interaction Design Principles for Edutainment Systems: Enhancing the Communication Skills of Children with Autism Spectrum Disorders. Rev. Tec. Ing. Univ. Zulia. 39(8), 45-50. doi: 10.21311/001.39.8.06 28. Hussain, A., Abd Razak, M.N.F., Mkpojiogu, E.O.C. & Hamdi, M.M.F. (2017). UX evaluation of a video streaming application with teenage users. Journal of Telecommunication, Electronic & Computer Engineering (JTEC), 9 (2-11), 129-131 29. Hussain, A., Isam, M., & Mkpojiogu, E.O.C. (2017). A UX assessment of a mobile recommender app for household electrical energy savings. Journal of Telecommunication, Electronic & Computer Engineering (JTEC), 9 (2-11) 30. Hussain, A., Mkpojiogu, E.O.C., Musa, J., Mortada, S., & Yue, W.S. (2018). Mobile Experience Evaluation of an e-Reader App. Journal of Telecommunication, Electronic & Computer Engineering (JTEC), 10(1-10), 11-15. 31. Ibargoyen, A., Szostak, D., & Bojic, M. (2013). The elephant in the conference room: let's talk about experience terminology. Paper presented at the CHI 2013, Paris, France. 32. Karat, J., & Dayton, T. (1995). Practical education for improving software usability. Paper presented at the CHI'95. 33. Karat, J. (1997). Evolving the scope of user-centered design. Commun. ACM, 40(7), 33-38. doi: 10.1145/256175.256181 34. Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering: School of Computer Science and Mathematics, Keele University 35. Mao, J-Y., Vredenburg, K., Smith, P. W., & Carey, T. (2005). The state of user-centered design practice. Commun. ACM, 48(3), 105-109. doi: 10.1145/1047671.1047677 36. Marti, P. & Bannon, L. (2009). Exploring User-Centred Design in Practice: Some Caveats. Knowledge, Technology and Policy, 22(1), 7- 15. doi: 10.1007/s12130-009-9062-3 37. Mayhew, D. J. (1999). The usability engineering lifecycle: a practitioner's handbook for user interface design. San Francisco, California: Morgan Kauffmann Publishers, Inc. 38. Nielsen, J. (1993). Usability engineering. San Diego: Academic Press, Inc. 39. Norman, D.A. (2010). The research-practical gap: the need for translational developers. Interaction, 17. 40. Poltrock, S. E., & Grudin, J. (1994). Organizational obstacles to interface design and development: two participant-observer studies. ACM Transactions on Computer-Human Interaction (TOCHI), 1(1), 52-80. 41. Putnam, C., & Kolko, B. (2012). HCI professions: differences & definitions. In CHI'12 Extended Abstracts on Human Factors in Computing Systems (pp. 2021-2026). ACM. 42. Putnam, C., Wozniak, K., Zefeldt, M. J., Cheng, J., Caputo, M., & Duffield, C. (2012). How do professionals who create computing technologies consider accessibility?. In Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility (pp. 87-94). ACM. 43. Ronggang, Z., Shengshan, H., Xiangang, Q., & Huang, J. (2008). A survey of user-centered design practice in China. IEEE International Conference on Systems, Man and Cybernetics, 2008. 44. Rosenbaum, S., Bloomer, S., Rinehart, D., Rohn, J., Dye, J., Humburg, J., Wixon, D. (1999). What makes strategic usability fail?: lessons learned from the field. ACM Trans. Comput.-Hum. Interact., 93-94. 45. Rosenbaum, S., Wilson, C. E., Jokela, T., Rohn, J. A., Smith, T. B., & Vredenburg, K. (2002). Usability in practice: User experience lifecycle - evolution and revolution. Paper presented at the CHI 2002, Minneapolis, Minnesota, USA 46. Rauch, T., & Wilson, T. (1995). UPA and CHI surveys on usability processes. ACM SIGCHI Bulletin, 27(3), 23-25. 47. Salleh, N., Mendes, E., & Grundy, J. (2010). Empirical studies of pair programming for CS/SE teaching in higher education: a systematic literature review. IEEE Transactions on Software Engineering. 48. Shackel, B., & Day, D. L. (2009). Human-Computer Interaction - whence and whitter? Interacting with Computers. doi: 10.1016/j.intcom.2009.04.004 49. Silva da Silva, T., Martin, A., Maurer, F., & Silveira, M. (2011, 7-13 Aug. 2011). User-centered design and Agile methods: a systematic review. Paper presented at the AGILE Conference (AGILE), 2011. 50. Tullis, T. & Albert, B. (2013). Measuring The User Experience: Collecting, Analyzing and Presenting Usability Metrics (2nd ed.): Morgan Kaufmann Publishers. 51. Venturi, G., & Troost, J. (2004). Survey on the UCD integration in the industry. Paper presented at the NordiCHI'04, Tampere, Finland. 52. Vukelja, L., Muller, L., & Opwis, K. (2007). Are Engineers Condemned to Design? A Survey on Software Engineering and UI Design in Switzerland. Paper presented at the INTERACT 2007. 53. Wilson, S., Bekker, M., Johnson, P., & Johnson, H. (1997). Helping and hindering user involvement - a tale of everyday design. Paper presented at the CHI'97. 54. Zhao, F., Collier, A., & Deng, H. (2014). A multidimensional and integrative approach to study global digital divide and e-government development. Information Technology & People, 27(1), 38-62. Authors: Ahmad Bashawir Abdul Ghani, Nor Idayu Mahat, Azham Hussain, Sany Sanuri Mohd Mokhtar Paper Title: Water Sustainability in Campus: A Framework in Optimizing Social Cost Abstract:This paper aims to share a framework developed by Universiti Utara Malaysia (UUM) in an effort to build a community that cares for the sustainability of the campus, in particular, the water management. Generally, UUM has about 4 thousand staff and 32, 279 students in the campus. In contrast to other universities, about 95% of UUM students live at the in-campus accommodations provided by the University. Hence, clean water is one of the basic necessities needed by the UUM community. Despite of this necessity, the distribution of water in the campus recorded some loss due to leakage. The implication to this problem is not only affecting the cost of distributing the water to users, but also the total cost to citizens in the campus that consume the water. In addition, UUM is also traced by several river trunks which has become iconic attractions of the campus. However, these rivers are 33. exposed to the risk of pollutions caused by human negligence. Therefore, it is time for the university to take 183-186 serious actions to prevent more damages done to the rivers in order to ensure the continuity of social life in the campus. On the basis of this concern, UUM has taken steps to develop a framework that seeks to optimize social costs for water sustainability in the future.

Keywords:Green campus, sustainability, social cost, water management.

References: 1. Federal Reserve Bank San Francisco. 2019. What is the difference between private and social costs, and how do they relate to pollution and production? Available online athttps://www.frbsf.org/education/publications/doctor-econ/2002/november/private-social-costs-pollution- production/ 2. Malaysia Department of Statistics. 2017. Compendium of Environment Statistics. Available online at https://www.dosm.gov.my 3. United Nation. 2017. Goals 6: Ensure access to water and sanitation to all. Available online at https://www.un.org/sustainabledevelopment/water-and-sanitation/ 4. Weifeng Li, Wencui Ling, Suoxiang Liu, Jing Zhao, Ruiping Liu, Qiuwen Chen, ZhiminQiang, Jiuhui Qu. 2011. Development of systems for detecting, early warning, and control of pipeline leakage in drinking water distribution: A case study. Journal of Environmental Sciences, Volume 23 (11), 1816 - 1822. Authors: Fadzilah Sira, Nur Azzah Abu Bakar Identifying Patterns of Students Academic Performance from Tracer Evaluation Using Descriptive Paper Title: Data Mining Abstract: The Ministry of Higher Education Malaysia has collected data through tracer study since 2007. The aim is to gather feedbacks from graduates as a basis improve the standard of higher education in the country. The availability of tracer study data in digital format offers various advantages to decision makers as many tools are available to extract and discover the hidden knowledge within the large databases. This paper presents the applicability of descriptive data mining and logistic regression to discover the hidden knowledge within the tracer study data with respect to measuring academic performance of Arts and Sciences graduates of Malaysia public universities. The impact of independent variables, i.e. Bahasa Melayu, English Language and Malaysian University English Test on the academic performance is investigated. The empirical results suggest that the academic performance between male and female graduates from Arts and Science fields is significantly different. Variables such as Bahasa Melayu, English Language and Malaysian University English Test showed a significant correlation with academic performance. The results also exhibit that the impact on academic performance of Arts graduates is different from the Science graduates. Guided by these empirical findings, this study suggests an academic performance model for Arts and Science graduates of Malaysia public universities.

Keywords: Academic Performance, Descriptive Data Mining, Logistic Regression, Tracer Study

References: 1. Al-Ansari, A.A. & El Tentawi, M.M. (2015). Predicting Academic Performance of Dental Stu dents using Perception of Educational Environment. Journal of Dental Education, March, 337-344. 2. Asif, R., Merceron, A. & Pathan, M. K. (2015). Predicting Student Academic Performance at Degree Level: A Case Study. I.J. Intelligent Systems and Applications, 01, 49-61. 3. Chao-Ying, J. P. (2002). An Introduction to Logistic Regression Analysis and Reporting. The Journal of Educational Research, 9(1), 3- 14. 4. Corengia, A., Pita, M., Mesurado, Belen. & , A. (2013). A Predicting Academic Performance and Attrition in Undergraduate Students. Liberalist. Rebista de Psicologia, 19(1), pp. 101-112. Universidad de San Martin de Porres. Lima, Peru. 5. Debreceny, R. S., Gray, G. L.: Data mining journal entries for fraud detection: An exploratory study. Int. J. Account. Inf. Syst. (2010). Vol. 11 (3) 157–181. 34. 6. Delavari, N., Phon-amnuaisuk, S.: Data Mining Application in Higher Learning Institutions. (2008). 7(1). 31–54. 187-191 7. Ervina, A., Md Nor, O.: Undergraduate students’ performance: the case of University of Malaya. Quality Assurance in Education. (2005). 13(4). 329-343. 8. Katsikan, G. & Panagiotidis, L. (2010). Factors Affecting Students’ Quality of Academic Performance: A Case of Secondary School Level. Journal of Quality and Technology Management. 9. 7(6). pp. 1 ‐ 14 10. Lowis, M. & Castley, A. (2008) Factors Affecting Student Progression and Achievement: Prediction and Intervention. A two-year study. Innovations in Education and Teaching International, Volume 45 (Number 4). 333-343. ISSN 1470-3297. 11. Luan, J. (2002). Data Mining and Its Applications in Higher Education. New Dir. Institutional Res. (2002). 2002(113). 17–36. 12. Nordaliela, M. R., Zaidah, I. & Roziah, M. J. (2008). Predicting Students’ Academic Achievement: Comparison between Logistic Regression, Artificial Neural Network, and Neuro-Fuzzy. In Proceedings of International Symposium on Information Technology (ITSim 2008).Vol. 1. 1 – 6 13. O’Connor, M., Marquez, I., Hill, T., Remus, W.: (2002). Neural network models for forecast a review, IEEE proceedings of the 25th Hawaii International Conference on System Sciences. Vol. 4. 494-498. 14. Peng, C. Y. & So, T. S. H. (2002). Modeling strategies in logistic regression. Journal of Modern Applied Statistical Methods, 14, 147-156. 15. Peng, C. Y., So, T. S. Stage, F. K., & St. John, E. P. (2002). The use and interpretation of logistic regression in higher education journals: 1988-1999. Research in Higher Education, 43, 259-293. 16. Ratner, G. (2009). Journal of Targeting, Measurement and Analysis for Marketing (2009) 17, 139–142. doi:10.1057/jt.2009.5; published online 18 May 2009 17. Siraj, F. & Haris, M.F. (2011). Profiling of UUM Graduates Based on Academic Achievement and Colleges. Proceeding of the International Soft Science Conference (ISSC 2011), Ho Chin Minh, Vietnam. 18. Siraj, F. (2015). Modeling Academic Achievement of UUM Graduate Using Descriptive and Predictive Data Mining, Advanced Computer and Communication Engineering Technology, Volume 362 of the series Lecture Notes in Electrical Engineering, Eds, Hamzah Asyrani Sulaiman, Mohd Azlishah Othman, Mohd Fairuz Iskandar Othman, Yahaya Abd Rahim, Naim Che Pee. Springer, pp 609-62. 19. Spangler, S.,Ying, C., Kreulen, J., Boyer, S., Griffin, T., Alba, A., Kato, L., Lelescu, A., S. Yan, S. Exploratory analytics on patent data sets using the SIMPLE platform. World Pat. Inf. (2011). Vol. 33. No. 4. 328–339. 20. Veenstra (2009). A Strategy for Improving Freshment Colleague Retention. The Journal for Quality & Participation, January, 19-29. 21. Weerakkody, W.A.S. & Ediriweera, A.N. (2008). Influence of gender on academic performance: an empirical study of Human Resource Management students (undergraduates) in University of Kelaniya, Sri Lanka. Proceedings of the 5th International Conference on Business Management, Vol. 5. 22. Yadav, R. S. & Sing, V., P. (2012). Modeling Academic Performance Evaluation Using Fuzzy C-Means Clustering Technique. International Journal of Computer Applications, 60(8), 15-23. Authors: Rajab Ibrahim Hameed, Anwer N. Mamdoh 35. Kinetic Performance of Ascorbic Acid Degradation on Local Lemon Juice using Different Packaging Paper Title: Materials at Storage Abstract: Kinetic of ascorbic acid dissolution of vitamin ( C ) in Lemon juice 10 Brix packaged in glass and plastic bottles stored at 20,30 and 40 °C for four months have been investigated .The results showed that increasing temperature and period storage caused decreasing in ascorbic acid content and increasing nonenzymatic browning. The stability of ascorbic acid and reduced of nonenzymatic browning was better in the packed in glass bottles. The results of ascorbic acid degradation kinetic parameter showed that the order of the reaction is First and there was an increasing in rate constant(K)in the case of increasing of the storage temperature and in the samples of glass bottlesk.The activation energy (Ea) decrease in plastic bottles. It was found that the shelf life of samples decreased with increasing the storage temperature .We got in this study the shelf life of ascorbic acid from 0 to 50 0C.

Keywords: packaging, lemon, Ascorbic acid, Kinetic, Activation energy, Dissolution

References: 1. S. K. Anin, W. O. Ellis, and J. Adubofuor, “Effects of two packaging materials and storage conditions on the quality of fresh taste , a natural and locally produced orange drink in Ghana,” J. Food Sci., vol. 1, no. 6, pp. 132–138, 2010. 2. C. D. Souza, H. Yuk, G. H. Khoo, and W. Zhou, “Application of Light-Emitting Diodes in Food Production,Postharvest Preservation , and Microbiological Food Safety.” 3. D. Raheem, “Application of plastics and paper as food packaging materials – An overview,” vol. 25, no. 3, pp. 177–188, 2012. 4. M. M. I. Al-zubaidy and R. A. Khalil, “Food Chemistry Kinetic and prediction studies of ascorbic acid degradation in normal and 192-196 concentrate local lemon juice during storage,” vol. 101, pp. 254–259, 2007. 5. N. Shrestha and A. Bhattarai, “Determination of Ascorbic Acid in Different Citrus Fruits of Kathmandu Valley,” vol. 2, no. 1, pp. 9–14, 2016. 6. N. Koca, H. S. Burdurlu, and F. K. Z, “Kinetics of Nonenzymatic Browning Reaction in Citrus Juice Concentrates during Storage,” vol. 27, pp. 353–360, 2003. 7. R. Sindhu and B. S. Khatkar, “Preservation and storage of Lemon ( Citrus Limon ) Juice,” vol. 6495, no. 3, pp. 154–158, 2018. 8. M. Hekkert, L. Joosten, and E. Worrell, “MATERIAL EFFICIENCY IMPROVEMENT FOR EUROPEAN PACKAGING IN THE PERIOD 2000 - 2020,” no. 2050, 2020. 9. R. Sindhu and B. S. Khatkar, “Effects of Chemical Treatments on Storage Stability of Lemon ( Citrus Limon ) Juice,” pp. 76–79, 2018. 10. P. Packaging, “Plastic Packaging and Plastic Bottles Regulation SI 98 ,” pp. 11–14, 2017. 11. P. Ghose and P. Nair, “Packaging of Carbonated Beverages,” vol. 4, no. 5, pp. 421–430, 2013. 12. L. M. Avallone, “Measurements of the temperature-dependent rate coefficient for the reaction O ( 3 P ) + NO 2 → NO + O 2,” vol. 157, no. 2, pp. 231–236, 2003. 13. X. Huang, L. Zhang, X. Wang, and D. Wu, “Determination of the Reaction Rate Constant for the Opposing Reaction by Integral Method,” vol. 55, pp. 19–24, 2016. 14. B. Vikram, M. N. Ramesh, and S. G. Prapulla, “Thermal degradation kinetics of nutrients in orange juice heated by electromagnetic and conventional methods,” J. Food Eng., vol. 69, no. 1, pp. 31–40, 2005. 15. E.F, E. E.O, K. A.M, and A. M.M, “Kinetic Modeling of Vitamin C (Ascorbic Acid) Degradation in Blanched Commonly Consumed Salad Vegetables Using Computer Simulation Analysis,” IOSR J. Appl. Chem., vol. 10, no. 04, pp. 59–66, 2017. 16. C. Polydera, N. G. Stoforos, and P. S. Taoukis, “Comparative shelf life study and vitamin C loss kinetics in pasteurised and high pressure processed reconstituted orange juice,” vol. 60, pp. 21–29, 2003. Authors: Chee Keong Ch’ng Comparing the Performance of Winsorize Tree to Other Data Mining Techniques for Cases Involving Paper Title: Outliers Abstract: Winsorize tree is a modified tree that reformed from classification and regression tree (CART). It lays on the strategy of handling and accommodating the outliers simultaneously in all nodes while generating the subsequence branches of tree. Normally, due to the existence of outlier, the accuracy rate of most of the classifiers will be affected. Therefore, we propose winsorize tree which could resist to anomaly data. It protects the originality of the data while performing the splitting process. In this study, winsorize tree was compared to other classifiers. The results obtained from five real datasets indicate that the proposed winsorize tree performs as good as or even better compare to the other data mining techniques based on the misclassification rate.

Keywords: winsorize tree algorithm; outlier; gini index; misclassification rate; classification; classification and regression tree; winsorized tree.

References: 36. 1. Abedjan, Z., Chu, X., Deng, D., Fernandez, R. C., Ilyas, I. F., Ouzzani, M., Papotti, P., Stonebraker, M., & Tang, N. (2016). Detecting data errors: Where are we and what needs to be done? Proceedings of the VLDB Endowment, 9(12), 993-1004. 197-201 2. Aguinis, H., Gottfredson, R. K., & Joo, H. (2013). Best-practice recommendations for defining, identifying, and handling outliers. Organizational Research Methods, 16, 270–301. doi: 10.1177/1094428112470848. 3. Anderson, E. (1936). "The species problem in Iris". Annals of the Missouri Botanical Garden. 23(3): 457–509. 4. Bakker, M., & Wicherts, J. M. (2014). Outlier removal, sum scores, and the inflation of the type I error rate in independent samples t tests: the power of alternatives and recommendations. Psychological Methods, 19, 409–427. doi: 10.1037/met0000014. 5. Bluman, Allan (2000), Elementary Statistics, brief version, New York: McGraw-Hill 6. Breiman, L., Friedman, J. H., Olshen, R. A. and Stone, C. J. (1984) Classification and regression trees, Chapman & Hall, New York. 7. Ch’ng, C. K. and Mahat, N. (2014) ‘Winsorised gini impurity: A resistant to outliers splitting metric for classification tree’, International Conference on Quantitative Sciences and Its Applications. 8. Ch’ng, C. K. and Mahat, N. (in press). Winsorize tree algorithm for handling outlier in classification problem. International Journal of Operational Research. 9. De Veaux, R. D. and Hand., D. J. (2005) ‘How to lie with bad data’, Journal of Statistical Science, Vol. 20, No. 3, pp.231-238. 10. Dervilis, N., Antoniadou, I., Barthorpe, R. J., Cross, E. J., and Worden, K. (2016) ‘Robust methods for outlier detection and regression for SHM applications’, Int. J. Sustainable Materials and Structural Systems, Vol. 2, Nos. 1/2, pp.3–26. 11. Dervilis, N., Cross, E.J., Barthorpe, R.J. and Worden, K. (2014b) ‘Robust methods of inclusive outlier analysis for structural health monitoring’, Journal of Sound and Vibration, Vol. 333, No. 20, pp.5181–5195. 12. Engels, R., and Theusinger, C. (1998) ‘Using a data metric for preprocessing advice for data mining applications’, Proceeding of 13th European Conference on Artificial Intelligence, John Wiley & Sons, Chichester. Evans 13. Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics. 179-188. 14. Hair, J. F., Anderson, R., Tatham, R. L., and Black, W. C. (1992) Multivariate data analysis with reading (3rd Eds.), New York, Macmillan. 15. Hand, D.J., Daly, F., Lunn, A. D., Mcconway, K. J. and Ostrowski, E. (1994). A Handbook of Small Data Sets, New York: Chapman & Hall, pp. 299-301. 16. John, G. H. (1995). Robust decision trees: removing outliers from databases, KDD-95 Proceeding, CA: AAAI, Menlo Park. 17. Jossinet, J. (1996).Variability of impedivity in normal and pathological breast tissue. Med. & Biol. Eng. & Comput, 34, 346-350. 18. Kyung, H. O., June, S. S., Doo, H. H. and Nam, S. K. (2011). ‘Decision tree-based clustering with outlier detection for HMM-based speech synthesis’, 12th Annual Conference of the International Speech Communication Association, ISCA, Florence, Italy. 19. Pimentel, M.A., Clifton, D.A., Clifton, L., Tarassenko, L.: A review of novelty detection. Signal Process. 99, 215–249 (2014) 20. Pit-Claudel, Z. Mariet, R. Harding, and S. Madden. Outlier detection in heterogeneous datasets using automatic tuple expansion. Technical Report MIT-CSAIL-TR-2016-002, CSAIL, MIT, 32 Vassar Street, Cambridge MA 02139, February 2016. 21. Quinlan, J. R. (1987). Simplying decision tree. International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems, 27(3), 221-234. 22. Quinlan, J. R. (1993). C4.5: Programs for machine learning. USA: Morgan Kaufmann Publishers. 23. Ramana, Bendi, V., Surendra Prasad Babu, M., and Venkateswarlu, N. B., A critical comparative study of liver patients from USA and INDIA: An Exploratory Analysis. Int. J. Comp. Sc. Issues 9(3):506–516, 2012. 24. Rousseeuw, P. and Hubert, M. (2013) ‘High-breakdown estimators of multivariate location and scatter’, Robustness and Complex Data Structures, pp.49–66, Springer. 25. Rousseeuw, P., Hubert, M. & Aelst, S. V. (2008). High-breakdown multivariate robust method. Statistical Science, 23(1), pp.92–119. 26. Russell, I., Neural Networks in the Undergraduate Curriculum, Journal of Computing in Small Colleges, April 1991, 6(4), April 1 27. Shouman, M., Turner, T. and Stocker, R. (2011) ‘Using decision tree for diagnosing heart disease patients’, In Proc. Australasian Data Mining Conference (AusDM 11), Ballarat, Australia 28. Silva, J. E., Marques de Sá, J. P., & Jossinet, J. (2000). Classification of Breast Tissue by Electrical Impedance Spectroscopy. Med & Bio Eng & Computing, 38, 26-30. 29. Singh, K., Upadhyaya, D.S., 2012. Outlier detection: Applications and techniques. International Journal of Computer Science, 9(1), 307- 323. 30. Smith, J. W., Everhart, J. E., Dickson, W. C., Knowler, W. C., & Johannes, R.S. (1988). Using the ADAP learning algorithm to forecast the onset of diabetes mellitus. Proc Annu Symp Comput Appl Med Care (pp. 261-265). IEEE Computer Society Press. 31. Young, F. M., Valero-Mora, P. M., & Friendly, M. (2006). Visual statistics: seeing data with dynamic interactive graphics, Wiley, New Jersey 32. Yuan, K.-H., & Zhong, X. (2008). Outliers, leverage observations, and influential cases in factor analysis: Using robust procedures to minimize their effect. Sociological Methodology, 38, 329-368. 33. Zhong, X., & Yuan, K.-H. (2011). Bias and efficiency in structural equation modeling: Maximum likelihood versus robust methods. Multivariate Behavioral Research, 46, 229-265. Authors: Azham Hussain, Emmanuel O.C. Mkpojiogu, Fazillah Mohmad Kamal, Huda Mohammed Lateef Paper Title: Ascertaining the UX of the Word Mania Mobile App for Children Using Fun Toolkit v3 Abstract: A user experience evaluation was carried on Word Mania mobile app. Word Mania is fun educational games app for children. Fun Tookit v3, a survey instrument developed to assist researchers in acquiring the opinions about technology (web or app) from children was used for data capture. The purpose of the toolkit is to generate the perception of kids as young as 4 years old who had some experience when interacting with an implementation. The Fun Toolkit v3 tool consists of three components that can be used on applications, websites or technology products to "pass opinions." These three sections are: Smileyometer, Fun Sorter, Again and Again.At UUM International School, Sintok, Malaysia, this assessment study was performed with students. The survey was attended by a total of 12 students. The evaluation questionnaires were filled out with the help of their teachers by the participating children.The findings stated that the mobile application was adopted by the kids; however, some problems had to pay attention in order to enhance the children's user experience.Special exercises should be found for children aged one or two years because current exercises are difficult for these ages. Competition task is not an simple task, particularly for kids aged 3 to 4 years. Children between the ages of 5 and 6 need more time to complete the tasks, for these ages three minutes are not enough. 37. Keywords: Children, fun education, games experience, mobile app, user experience evaluation 202-205

References: 1. Geist, E., & Hohn, J. (2009). Encouraging Creativity in the Face of Administrative Convenience: How Our Schools Discourage Divergent Thinking. Education, 130(1). 2. Harlen, W. (2018). The teaching of science in primary schools. David Fulton Publishers. 3. Hussain, A., Mkpojiogu, E.O.C., Fadzil,N.M., & Hassan, N.M. (2017). The UX of amila pregnancy on mobile device. Proceedings of the 2nd International Conference on Applied Science and Technology (ICAST’17), Kedah, Malaysia. AIP Conference Proceedings 1891 (1), 020061, http://doi.org/10.1063/1.5005394 4. Hashim, N.L., Adamu, R. (2017), Usability evaluation of mobile banking application interfaces, Journal 5. of Engineering and Applied Sciences,Volume 12, Issue 21, 2017, Pages 5490-5494 6. Hussain, A., Mkpojiogu, E.O.C., Jamalsse, A., & Mohammed, R.A. (2018). Grab mobile app: a UX assessment on mobile devices. Journal of Advanced Research in Dynamical and Control Systems (JARDCS), 10 (SI), 1233-1238. 7. Hussain, A., Mkpojiogu, E.O.C., & Nawi, M.N.M. (2017). Capturing customer satisfaction and dissatisfaction in software requirements elicitation for features in proposed software systems. Journal of Engineering and Applied Sciences (JEAS), 12(21), 5590-5597 8. Hussain, A., Mkpojiogu, E.O.C. & Yusof, M.M (2016). Perceived usefulness, perceived ease of use, and perceived enjoyment as drivers for the user acceptance of interactive mobile maps. Proceedings of the 1st International Conference on Applied Science and Technology (ICAST’16), Kedah, Malaysia. AIP Conf. Proc. 1761 (1). 020051, http://dx.doi.org/10.1063/1.4960891. 9. Lee. M. (2014, December 9). Parents Ask: Why Is It So Hard to Find Good Apps?. Joan Ganz Cooney Center. Retrieved from http://joanganzcooneycenter.org/2014/12/09/parents-ask-why-is-it-so-hard-to-find-good-apps/ 10. McCoy, A. (2013). How to protect your kids' safety when choosing apps. Retrieved from http://specialsections.suntimes.com/education/prek12/1 7266560-555/how-to-protect-your-kids-safety-when-choosing-apps.html 11. Prensky, M. (2006). Don’t bother me, Mom, I’m learning!: How computer and video games are preparing your kids for 21st century success and how you can help! Paragon house St. Paul, MN. 12. Read, J. C., & MacFarlane, S. (2006). Using the fun toolkit and other survey methods to gather opinions in child computer interaction. In Proceedings of the 2006 conference on Interaction design and children (pp. 81– 88). ACM. 13. Statista Inc., 2014. Number of apps available in leading app stores 2014. Retrieved from http://www.statista.com/statistics/276623/number- ofapps-available-in-leading-app-stores/ Authors: Idyawati Hussein, Azham Hussain, Emmanuel O.C. Mkpojiogu, ChenKim Lim, KiamLam Tan A Current State Analysis Framework for the Evaluation of User Experience Design (UXD) Practice in Paper Title: Industry Abstract:This study proposes a current state analysis framework for the understanding and evaluation of the user experience design (UXD) practice in industry.In this study, using PAR and grounded theory, an evaluation framework was developed to assess the UXD practice in industry. The study was conducted among a UXD community of practice, UX Malaysia. The proposed framework incorporated implicit, and explicit design practices as well as practice constraints. Implicit practice is grouped into values and goals while explicit practice comprises of job roles/design decision and knowledge. Constraints encountered by individuals who are motivated to practise user experience design in the development process include those related to: direct control, between direct control and indirect control, indirect control, between indirect control and no control and no control.

Keywords: Community of practice, current state analysis framework, user experience design practice.

References: 1. Adikari, S., McDonald, C., & Campbell, J. (2013). Reframed Contexts: Design Thinking for Agile User Experience Design. In A. Marcus (Ed.), Design, User Experience, and Usability. Design Philosophy, Methods, and Tools, Vol. 8012, Springer Berlin Heidelberg, 3 - 12. 2. Bach, P. M., DeLine, R., & Carroll, J. M. (2009). Designers wanted: participation and the user experience in open source software development. Paper presented at the Proceedings of the 27th international conference on Human factors in computing systems, Boston, MA, USA. 3. Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational psychologist, 28(2), 117-148. 4. Bygstad, B., Ghinea, G., &Brevik, E. (2008). Software development methods and usability: Perspectives from a survey in the software industry in Norway. Interacting with Computers, 20(3), 375-385. doi: 10.1016/j.intcom.2007.12.001 5. Carver, C. S., &Scheier, M. F. (1990). Origins and functions of positive and negative affect: a control-process view. Psychological review, 97(1), 19. 6. Clemmensen, T., Hertzum, M., Yang, J., & Chen, Y. (2013). Do Usability Professionals Think about User Experience in the Same Way as Users and Developers Do? In P. Kotzé, G. Marsden, G. Lindgaard, J. Wesson & M. Winckler (Eds.), Human-Computer Interaction – INTERACT 2013, Vol. 8118, Springer Berlin Heidelberg, 461-478. 7. Covey, S. R. (1999). The 7 habits of highly effective people: Restoring the character ethic. London: Pocket Books. 8. Crilly, N., Good, D., Matravers, D., & Clarkson, P. J. (2008). Design as communication: exploring the validity and utility of relating intention to interpretation. Design Studies, 29, 425-457. doi: 10.1016/j.destud.2008.05.002 38. 9. Curtis, B., Krasner, H., &Iscoe, N. (1988). A field study of the software design process for large systems. Communication of the ACM, 31(11), 1268-1287. 10. Dayton, T. (1993). Skills needed by user-centered design practitioners in real software development environments: report on the CHI'92 206-214 workshop. SIGCHI Bull., 25(3), 16-31. doi: 10.1145/155786.155790 11. Dillon, A., Sweney, M., & Maguire, M. (1993). A survey of usability evaluation practices and requirements in the European IT industry. Paper presented at the HCI'93, Cambridge. 12. Earthy, J. (1998). Usability maturity model: Human centeredness scale (pp. 34): Lloyd's Register and the European Commision 1998. 13. Ehrlich, C. (2012). Be careful what you wish for but also why you wish for it - goal-striving reasons ans subjective well-being. The Journal of Positive Psychology, 7(6), 493-503. 14. Fishbein, M. (1963). An investigation of the relationship between beliefs about an object and the attitude toward that object. Human relations. 15. Ferreira, J., Sharp, H., Robinson, H., Sillitti, A., Martin, A., Wang, X., & Whitworth, E. (2010). Values and Assumptions Shaping Agile Development and User Experience Design in Practice. Agile Processes in Software Engineering and Extreme Programming. In W. Aalst, J. Mylopoulos, M. Rosemann, M. J. Shaw & C. Szyperski (Eds.), Springer Berlin Heidelberg, Vol. 48, 178-183. 16. Folstad, A., Bark, I., &Gulliksen, J. (2006). How HCI-practitioners want to evaluate their own practice. Paper presented at the Proceedings of the 4th Nordic conference on Human-computer interaction: changing roles, Oslo, Norway. 17. Ford, M.E. (1992). Motivating Humans: Goals, Emotions and Personal Agency Beliefs: Sage Publications, Inc. 18. Gould, J.D., & Lewis, C. (1985). Designing for usability: Key principles and what designers think. Communications of the ACM, 28, 300- 311. 19. Gulliksen, J., Lants, A., &Boivie, I. (1999). User centered design - Problems and possibilities. A summary of the 1998 PDC & CSCW workshop, SIGCHI Bulletin, Seattle, USA, 2-31. 20. Gulliksen, J., & Lantz, A. (2001). Design versus design-from the shaping of product to the creation of user experiences. 21. Hadley, S. A., & MacLeod, A. K. (2010). Conditional goal-setting, personal goals and hopelessness about future. Cognition and Emotion, 24(7), 1191-1198. 22. Hammond, N., Jorgensen, A. , MacLean, A. , Barnard, P., & Long, J. (1983). Design practice and interface usability: Evidence from interviews with designers. Paper presented at the Proceedings of the SIGCHI conference on Human Factors in Computing Systems, Boston, Massachusetts, United States. 23. Hancock, P. A., Pepe, A. A., & Murphy, L. L. (2005). Hedonomics: the power of positive and pleasurable ergonomics. Ergonomics Design, 13(1), 8-14. 24. Hassenzahl, M., Law, E. L-C., &Hvannberg, E. T. (2006). User experience - Towards a unified view. Paper presented at the UX WS NordiCHI'06: COST294-MAUSE, Oslo Norway. 25. Hefley, W.E., Buie, E.A., Lynch, G.F., Muller, M.J., Hoecker, D.G., Carter, J., & Roth, J. T. (1994). Integrating human factors with software engineering practices. Paper presented at the Human Factors and Ergonomics Society Annual Meetings 1983-1994. 26. Herbsleb, J., Zubrow, D., Goldenson, D., Hayes, H., &Paulk, M. (1997). Software quality and the capability maturity model. Commun. ACM, 40(6), 30-40. doi: 10.1145/255656.255692 27. Hussain, A., Abdullah,A., Husni, H., &Mkpojiogu, E.O.C. (2016). Interaction Design Principles for Edutainment Systems: Enhancing the Communication Skills of Children with Autism Spectrum Disorders. Rev. Tec. Ing. Univ. Zulia. 39(8), 45-50. doi: 10.21311/001.39.8.06 28. Hussain, A., AbdRazak, M.N.F., Mkpojiogu, E.O.C. &Hamdi, M.M.F. (2017). UX evaluation of a video streaming application with teenage users. Journal of Telecommunication, Electronic & Computer Engineering (JTEC), 9 (2-11), 129-131 29. Hussain, A., Isam, M., &Mkpojiogu, E.O.C. (2017). A UX assessment of a mobile recommender app for household electrical energy savings. Journal of Telecommunication, Electronic & Computer Engineering, 9 (2-11) 30. Hussain, A., Mkpojiogu, E.O.C., Musa, J., &Mortada, S. (2017). A user experience evaluation of amazon kindle mobile application. Proceedings of the 2nd International Conference on Applied Science and Technology (ICAST’17), Kedah, Malaysia. AIP Conference Proceedings 1891 (1), 020060, 31. Hussain, A., Mkpojiogu, E.O.C., Musa, J., Mortada, S., &Yue, W.S. (2018). Mobile Experience Evaluation of an e-Reader App. Journal of Telecommunication, Electronic & Computer Engineering (JTEC), 10(1-10), 11-15. 32. Idyawati, H., Hussain, A. &Mkpojiogu, E.O.C. (2019a). The knowledge of human-computer interaction (hci) and user experience design (uxd) in malaysia: an analysis of the characteristics of an hci-focused conference 33. Idyawati, H., Hussain, A. &Mkpojiogu, E.O.C. (2019b). The state of user experience design practice in malaysia: an exploratory study 34. Jokela, T., &Abrahamsson, P. (2001). Modelling usability capability-Introducing the dimension. Lecture Notes in Computer Science, 1-16. 35. Jokela, T., Siponen, M., Hirasawa, N., & Earthy, J. (2006). A survey of usability capability maturity models: Implications for practice and research. Behaviour & Information Technology, 25(3), 263 - 282. 36. Joshi, A. (2004). Institutionalizing HCI - the challenges in India. White Paper. 37. Karat, J., & Dayton, T. (1995). Practical education for improving software usability. Paper presented at the CHI'95. 38. Krathwohl, D. R. (2002). A revision of Bloom's taxonomy: An overview. Theory into practice, 41(4), 212-218. 39. Kurosu, M. (2011). Usability in Japan. In I. Douglas & Z. Liu (Eds.), Global Usability. London: Springer-Verlag. 40. Kuutti, K., Jokela, T., Nieminen, M., &Jokela, P. (1998). Assessing human-centred design processes in product development by using the INUSE maturity model. 41. Law, E.L.C., Vermeeren, A.P.O.S., Hassenzahl, M., & Blythe, M. (2007). Towards a UX manifesto. Paper presented at the BCS HCI Group Conference, Lancaster University, UK. 42. Law, E. L.-C., Hvannberg, E. T., &Cockton, G. (2008a). A Green Paper on Usability Maturation Maturing Usability (pp. 381-424): Springer London 43. Law, E. L.-C., Roto, V., Hassenzahl, M., Vermeeren, A., &Kort, J. (2009). Understanding, scoping and defining user experience: A survey approach. Paper presented at the CHI 2009, Boston, USA. 44. Lewin, K. (1945). Social Conflicts: Selected Papers on Group Dynamics. London: A Harper International edition. 45. Mao, J-Y., Vredenburg, K., Smith, P. W., & Carey, T. (2005). The state of user-centered design practice. Commun. ACM, 48(3), 105-109. doi: 10.1145/1047671.1047677 46. Marcus, A., Gunther, R., &Sieffert, R (2009). Validating a Standardized usability/user-experience maturity model: A progres report. Paper presented at the HCII 2009. 47. Marti, P. &Bannon, L. (2009). Exploring User-Centred Design in Practice: Some Caveats. Knowledge, Technology and Policy, 22(1), 7-15. doi: 10.1007/s12130-009-9062-3 48. Park, J., Han, S. H., Kim, H. K., Cho, Y. & Park, W. (2013). Developing elements of user experience for mobile phones and services: survey, interview, and observation approaches. Human Factors and Ergonomics in Manufacturing & Services Industries, 23(4), 279-293. 49. Paulk, M.C. (2009). A history of the capability maturity model for software. The Software Quality Profile, 1(1). 50. Pintrich, P. R. (2000). An achievement goal theory perspective on issues in motivation terminology, theory, and research. Comtemporary Educational Psychology, 25, 92-104. 51. Poltrock, S. E., &Grudin, J. (1994). Organizational obstacles to interface design and development: two participant-observer studies. ACM Transactions on Computer-Human Interaction (TOCHI), 1(1), 52-80. 52. Putnam, C., &Kolko, B. (2012). HCI professions: differences & definitions. In CHI'12 Extended Abstracts on Human Factors in Computing Systems (pp. 2021-2026). ACM. 53. Ryan, R. M., &Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well- being. American Psychologist, 55(1), 68-78. 54. Sandler, D. (2010). Best practices for applying Agile techniques to data warehouses. Business Intelligence Journal, 15(4), 17-27. 55. Shoda, Y. (2004). Individual differences in social psychology: Understanding situations to understand people, understanding people to understand situations: Sage. 56. Smith, A., Joshi, A., Liu, Z., Bannon, L., Gulliksen, J., & Li, C. (2007). Institutionalizing HCI in Asia. Paper presented at the INTERACT 2007, Rio de Janeiro, Brasil. 57. Solemon, B., Sahibuddin, S., &Ghani, A.A. (2010). Adoption of requirements engineering practices in Malaysian software development companies. ASEA 2010, CCIS, 117, 141-150. 58. Solso, R. L., MacLin, M. K., &MacLin, O. H. (2005). Thinking: Concept formation, logic, and decision making Cognitive Psychology (pp. 417-450): Pearson Allyn and Bacon 59. Sternberg, R. J. (2009). Cognitive psychology (Fifth ed.). Wadsworth, USA: Wadsworth, Cengage Learning. 60. Stolterman, E. (2008). The Nature of Design Practice and Implications for Interaction Design Research. International Journal of Design, 2(1), 55-65. 61. Sundbo, J., & Sorensen, F. (2013). Handbook on the Experience Economy: Edward Elgar Publishing. 62. Turri, J. (2013). Unreliable knowledge. Philosophy and Phenomenological Research. 63. Vashist, R., McKay, J., & Marshall, P. (2011). Reflecting on use of practice theories to understand 'practices': A boundary practice perspective on work of business analysts. Paper presented at the International Workshop on Practice Research, Helsinki. 64. Venturi, G., &Troost, J. (2004). Survey on the UCD integration in the industry. Paper presented at the NordiCHI'04, Tampere, Finland. 65. Vukelja, L., Muller, L., &Opwis, K. (2007). Are Engineers Condemned to Design? A Survey on Software Engineering and UI Design in Switzerland. Paper presented at the INTERACT 2007. 66. Wenger, E., Trayner, B., &Laat, d. M. (2011). Promoting and assessing value creation in communities and networks: a conceptual framework. Netherlands: Dutch Ministry of Education, Culture and Science. 67. Woolgar, S. (1994). Rethinking requirements analysis: some implications of recent research into producer-consumer relationships in IT development. Paper presented at the Requirements engineering. 68. Zhao, F., Collier, A., & Deng, H. (2014). A multidimensional and integrative approach to study global digital divide and e-government development. Information Technology & People, 27(1), 38-62. Authors: Omar Sedqi Kareem, Noor Najeeb Qaqos Paper Title: Real-Time Implementation of Greenhouse Monitoring System Based on Wireless Sensor Network 39. Abstract: The climate change has brought about unpredictable weather conditions that have resulted in the global food shortage being experienced. This issue can be solved by greenhouses, they play a main role in increasing the crop yield per unit area and represent the suitable environment for off-corps yields. Managing and continuous monitoring the green house environment can be done using a wired sensor network, but the high cost, wiring complexity, fixed sensor locations and the restricted distances are the big problems of this type of a networking. To solve these problems, we implemented a real time embedded system using Wireless Sensor Network (WSN) based on ZigBee technology to control and monitor the environmental of greenhouses. The WSN can be adopted as the best solution to apply in greenhouse because of its good properties, long distances, low-cost, low power consumption, high security and high reliability. The constructed system is implemented based on simple components, ATMEGA328P microcontroller and ZigBee are represented the kernel of sensor node, collect data from various sensors and present them to a coordinating station where data can be stored and processed, then actuators will be operate depending on the processed data. The captured data will be displayed for monitoring in a real time manner. The monitor system was developed using GSM technology. The simulation results show that the 215-219 system is more efficient in the manpower saving and raising the economic value of products. Furthermore, the developed system is simple, and easily installable.

Keywords: Greenhouse, Wireless sensor network, ZigBee (WSN), Actuator, Microcontroller.

References: 1. B. Basnet, I. Lee, M. Noh, H. Chun, A. Jaffari, and J. Bang, “A Smart Greenhouse Automation System Applying Moving Average Algorithm”, The transactions of The Korean Institute of Electrical Engineers, Vol. 65, No. 10, pp. 1755-1760, November 2016. 2. J. A. Enokela and T. O. Othoigbe, “An Automated Greenhouse Control System Using Arduino Prototyping Platform”, Australian Journal of Engineering Research, ISSN: 2203-9465. 3. X. Liu, T. Zhang, B. Li, F. Tian, Y. Tan, Y. Zhang, and H. Lv, “Wireless Measurement and Control System of Environmental Parameters in Greenhouse Based on ZigBee Technology”, Proceedings of the 37th Chinese Control Conference July 25-27, 2018, Wuhan, China, pp. 7268-7273. 4. W. Fei-qing, L. Lin-gong, M. Xiu-shui,Q. Jun, and H. Xian-tu, “Development of Wireless Monitor System on Greenhouse Environment Based on GSM”, Future Control and Automation, LNEE 172, pp. 371–379, 2012. 5. L. Xiaofeng, Q. Linlin, L. Linjian, and W. Gang, “Design and Implementation of Modern Greenhouse Remote Monitoring System Based on the Android System”, Proceedings of the 34th Chinese Control Conference July 28-30, 2015, Hangzhou, China, pp. 5742-5746. 6. H. Wang, X. Dong, Y. Ma, X. Yang, and F. Liu, “Design of Greenhouse Environment Wireless Monitoring System Based on ZigBee”, Informatics in Control, Automation and Robotics, LNEE 132, pp. 579–586, 2011. 7. L. Xia, L. Wenhui, S. Yixin, “Greenhouse Monitoring System Design Based on MSP430 and King view”, IEEE, 978-1-5386-2901-7/17, pp. 111-114, 2017. 8. L. Bajer and O. Krejcar, “Design and Realization of Low-Cost Control for Greenhouse Environment with Remote Control”, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd., pp. 368–373, 2015. 9. J. Both, L. Benjamin, J. Franklin, G. Holroyd, L. D. Incoll, M. G. Lefsrud, and G. Pitkin, “Guidelines for measuring and reporting environmental parameters for experiments in greenhouses”, NCERA‑101, Department of Environmental Sciences, Rutgers University, Newark, USA, DOI 10.1186/s13007-015-0083-5, 2015. 10. R. Algarín, J. C. Cabarcas, and A. P. Llanos, “Low-Cost Fuzzy Logic Control for Greenhouse Environments with Web Monitoring”, Electronics, 6, 71; doi:10.3390/electronics6040071, 23 September 2017. 11. Y. Liu and C. Bi, “The Design of Greenhouse Monitoring System based on ZigBee WSNs”, IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), pp. 430-433, 2017. 12. A.Lambebo and S. Haghani, “A Wireless Sensor Network for Environmental Monitoring of Greenhouse Gases”, ASEE 2014 Zone I Conference, April 3-5, 2014, University of Bridgeport, Bridgpeort, CT, USA. 13. K. P. Ferentinos, N. Katsoulas, A. Tzounis, T. Bartzanas, and C. Kittas, “Wireless sensor networks for greenhouse climate and plant condition assessment”, IAgrE. Published by Elsevier Ltd., pp. 70-81, 14 November 2016. 14. X. Li, X. Cheng, K. Yan, and Peng Gong, “A Monitoring System for Vegetable Greenhouses based on a Wireless Sensor Network”, Sensors 2010, 10, 8963-8980; doi:10.3390/s101008963. Authors: Yunos Ngadiman, Abdul Talib Bon, David Martin, Subatra A/P Krishnan Paper Title: The Influence Factor of Lean Behaviour Toward Job Performance in Fujitsu Component (Malaysia) Abstract:In the past decades, existing researchers have widely ventured the context of lean. Lean behaviour includes one of the practices. Lean behaviour an important practice for developing behaviours that can eliminate the quantity of waste associated with big production line. In Malaysia, while in many businesses the notion of lean can be seen implemented, lean behavior methods appear to be vague. This study is therefore aimed at identifying the connection between lean behaviour factor and job performance in Fujistu Component (Malaysia). The information gathered was evaluated using version 22.0 of the Social Science Statistical Package (SPSS). The results from this study showed a positive connection between Respect for People and Job Performance (coefficient of correlation = 0.393), a positive relationship between Continuous Learning and Improvement and Job Performance (coefficient of correlation = 0.667), and finally a positive connection between Process and Result Driven and Job Performance (correlation coefficient value = 0.840). This means that these factors influence job 40. performance in a positive way. 212-225

Keywords:Lean behaviour, job performance, lean manufacturing concept

References: 1. Beale, J. (2007). Employee Motivation to Adopt Lean Behaviours: Individual-level Antecedents. Annual Conference Dallas, Texas, U.S.A May 4 to May 7, 2007. Pp. 53. 2. Emiliani, B. (2014). Leadership behaviour: The path to lean culture. Retrieved on May 9, 2016 from http://www.bobemiliani.com /leadership-behaviors-the-path-to-lean-culture/ 3. Emiliani, M.L. (1998). Lean behaviours. Management Decision, Vol. 36, Iss 9, pp. 615– 631. 4. Benjamin, C. T. (2013). A Study of Behaviours that Retard the Implementation of Lean Operations. The Journal of the Association of Professiona Engineers of Trinidad and Tobago, Vol.41, No.1, pp. 43–48. 5. Biersdorff, K. (2009). How many is enough? Bright Ideas, Supporting Organizational Excellence & Innovation. Vol. 1 No.3, pp.1-2. 6. Hamouda, A.M.S, Puvanasvaran, A.P., Norazlin, N., C. S. F. (2014). Lean Behavior Impact Towards Lean Management: A Case Study. Journal Of Advanced Manufacturing Technology, Vol.8 No.1, pp.17–32. 7. Jacobsen, Darcy. (2013).The Secret to Respect in the Workplace | Globoforce Blog. Employee Engagement Recognition and Reward Commentary Globoforce Blog RSS. Globoforce Limited, 23 July 2013. Web. 07 Oct. 2014. 8. Ngadiman, Y., Dr Burairah, H., & Dr Izaidin, A. M. (2012). A study of total productive maintenance implementation in manufacturing industry for generating greater profits. In Proceedings International Conference of Technology Management, Business and Entrepreneurship, Melaka, Malaysia, pp. 157–173. 9. Norani Nordin, Baba Md Deros and Dzuraidah Abd Wahab, (2010). A Survey on Lean Manufacturing Implementation in Malaysian Automotive Industry. International Journal of Innovation, Management and Technology. Vol. 1, No. 4, pp. 374-380. 10. Pettersen, J. (2008). Defining Lean Production : Some conceptual and practical issues. In 11th QMOD Conference: Quality Management and Organizational Development Attaining Sustainability From Organizational Excellence to Sustainable Excellence, 2008, Helsinborg, Sweden, 20-22 August, 2008. pp. 285–300. 11. Porath, C.and Pearson, C. (2013). The Price of Incivility. Harvard Business Review. January- February Issue. 12. Puvanasvaran, A. P. (2006). Enhancing Productivity Through Lean Behavior. Journal of Applied Sciences Research Vol.3, No.6, pp 298- 317. 13. Puvanasvaran, A.P., Megat, M.H.H., Tang, S.H., Muhamad, M.R, A. M. H. (2009). Lean Behavior in Implementing Lean Process Management. Journal of Applied Sciences Research, Vol.5 No.8, pp. 930–943. 14. Ramune Cianiene, Milita Vienazindiene, (2012). Lean manufacturing: theory and practice. Journal of Economic and Management.Vol.17, No.2, pp. 726-732. 15. Rego, A., Sousa, F., Pina, M., Correia, A., & Saur-amaral, I. (2007). Leader Self-Reported Emotional Intelligence and Perceived Employee Creativity : An Exploratory Study, Vol. 16, No.3, pg.250–264. 16. Rizwan, M. (2014). Antecedents of Job Stress and its impact on Job Performance and Job Satisfaction. International Journal of Learning and Development, Vol.4, No.2, pp.187–203. 17. Schaffer, R. H., & Thomson, H. A. (2000). Successful Change Programs Begin with Results. Harvard Business Review. 18. Slater, F. and Narver, C. J. (2016). Market Orientation and Learning Organization. Journal of Marketing, Vol.59, pp. 63–74.W.-K. Chen, Linear Networks and Systems (Book style). Belmont, CA: Wadsworth, 1993, pp. 123–135. 19. H. Poor, An Introduction to Signal Detection and Estimation. New York: Springer-Verlag, 1985, ch. 4. 20. B. Smith, “An approach to graphs of linear forms (Unpublished work style),” unpublished. 21. E. H. Miller, “A note on reflector arrays (Periodical style—Accepted for publication),” IEEE Trans. Antennas Propagat., to be published. 22. J. Wang, “Fundamentals of erbium-doped fiber amplifiers arrays (Periodical style—Submitted for publication),” IEEE J. Quantum Electron., submitted for publication. 23. C. J. Kaufman, Rocky Mountain Research Lab., Boulder, CO, private communication, May 1995. 24. Y. Yorozu, M. Hirano, K. Oka, and Y. Tagawa, “Electron spectroscopy studies on magneto-optical media and plastic substrate interfaces (Translation Journals style),” IEEE Transl. J. Magn.Jpn., vol. 2, Aug. 1987, pp. 740–741 [Dig. 9th Annu. Conf. Magnetics Japan, 1982, p. 301]. 25. M. Young, The Techincal Writers Handbook. Mill Valley, CA: University Science, 1989. 26. J. U. Duncombe, “Infrared navigation—Part I: An assessment of feasibility (Periodical style),” IEEE Trans. Electron Devices, vol. ED-11, pp. 34–39, Jan. 1959. 27. S. Chen, B. Mulgrew, and P. M. Grant, “A clustering technique for digital communications channel equalization using radial basis function networks,” IEEE Trans. Neural Networks, vol. 4, pp. 570–578, Jul. 1993. 28. R. W. Lucky, “Automatic equalization for digital communication,” Bell Syst. Tech. J., vol. 44, no. 4, pp. 547–588, Apr. 1965. 29. S. P. Bingulac, “On the compatibility of adaptive controllers (Published Conference Proceedings style),” in Proc. 4th Annu. Allerton Conf. Circuits and Systems Theory, New York, 1994, pp. 8–16. 30. G. R. Faulhaber, “Design of service systems with priority reservation,” in Conf. Rec. 1995 IEEE Int. Conf. Communications, pp. 3–8. 31. W. D. Doyle, “Magnetization reversal in films with biaxial anisotropy,” in 1987 Proc. INTERMAG Conf., pp. 2.2-1–2.2-6. 32. G. W. Juette and L. E. Zeffanella, “Radio noise currents n short sections on bundle conductors (Presented Conference Paper style),” presented at the IEEE Summer power Meeting, Dallas, TX, Jun. 22–27, 1990, Paper 90 SM 690-0 PWRS. 33. J. G. Kreifeldt, “An analysis of surface-detected EMG as an amplitude-modulated noise,” presented at the 1989 Int. Conf. Medicine and Biological Engineering, Chicago, IL. 34. J. Williams, “Narrow-band analyzer (Thesis or Dissertation style),” Ph.D. dissertation, Dept. Elect. Eng., Harvard Univ., Cambridge, MA, 1993. 35. N. Kawasaki, “Parametric study of thermal and chemical nonequilibrium nozzle flow,” M.S. thesis, Dept. Electron. Eng., Osaka Univ., Osaka, Japan, 1993. 36. J. P. Wilkinson, “Nonlinear resonant circuit devices (Patent style),” U.S. Patent 3 624 12, July 16, 1990. 37. IEEE Criteria for Class IE Electric Systems (Standards style), IEEE Standard 308, 1969. 38. Letter Symbols for Quantities, ANSI Standard Y10.pp. 5-1968. Authors: Chanakya Dharani, Ravi .J Paper Title: TIQ Flash ADC Design Using a Low Power Multiplier Based Encoder Abstract:Threshold Inverter Quantization (TIQ) for applications of system-on-chip (SoC) depending on CMOS flash analog-to-digital converter (ADC). The TIQ technique which uses two cascaded CMOS inverters as a voltage comparator. However, this TIQ method must be created to meet the latest SoC trends, which force ADCs to be integrated with another electronic circuit on the chip and focus on low-power and low-voltage applications. TIQ comparator reduced the impact of variations in the process, temperature, and power supply voltage. Therefore, we obtained a higher TIQ flash ADC speed and resolution. TIQ flash ADC reduced / managed power dissipation. We obtain large power savings by managing the power dissipation in the comparator. Furthermore, the new 41. comparator has a huge benefit in power dissipation and noise rejection comparative to the TIQ comparator [1]. The findings indicate that the TIQ flash ADC based on Modied mux attain heavy-speed transformation and has a tiny 226-229 size, low-power dissipation and operation of low-voltage compared to another flash ADCs.

Keywords:Encoder, Flash ADC, Threshold Inverter Quantization

References: 1. Jincheol Yoo, Kyusun Choi, Jahan Ghaznavi,“ Quantum Voltage comparator for 0.07 μm CMOS flash A/D converters” , IEEE Computer Society Annual Symposium on VLSI, pp. 281-281 , 2003. 2. Liyaqat Nazir , Burhan Khurshid and Roohie Naaz Mir, “A 7GS/s, 1.2 V. Pseudo logic Encoder based Flash ADC Using TIQ Technique” , Annual IEEE India Conference, pp. 1-6, 2015. 3. S. S. KHOT, “6-Bit CMOS Flash ADC using TIQ Comparator in 0.250μm technology”, International Journal of Electronics, Communication & Instrumentation Engineering Research and Development, vol. 5, pp. 27-36, 2015. 4. Yoo, Jincheol, Kyusun Choi, and Ali Tangel, “A 1-GSPS CMOS flash A/D converter for system-on-chip applications”, Proceedings IEEE Computer Society Workshop on VLSI 2001. Emerging Technologies for VLSI Systems, pp. 135-139,2001. 5. Yao-Jen Chuang, Hsin-Hung Ou and Bin-Da Liu , “A novel bubble tolerant thermometer-to-binary encoder for flash A/D converter”, VLSI-TSA International Symposium on VLSI Design, Automation and Test, pp. 315- 318, 2005. 6. Tangel Ali and Kyusun Choi, “The CMOS Inverter as a comparator in ADC designs,” Analog Integrated Circuits and Signal Processing , pp. 147-155, 2014.. 7. Sall Erik, Mark Vesterbacka, and K. OlaAndersson, “A study of digital decoders in flash analog-to-digital converter”, IEEE International Symposium on Circuits and Systems, vol 1, pp. 129-132,2014. 8. Przemyslaw Mroszczyk , JohnGoodacre and Vasilis F. Pavlidis , “Energy Efficient Flash ADC with PVT Variability Compensation through Advanced Body Biasing” , IEEE Transactions on Circuits and Systems II , pp.1-5, 2018.A 9. Padmapriya, T., Manikanthan, S.V. LTE-A intensified voice service coder using TCP for efficient coding speech. International Journal of Innovative Technology and Exploring Engineering. 2019. Authors: T.S Shiny Angel, Keertana Madan, Utkarsh Pandey Paper Title: Implementing Item-Based Collaborative Filtering System in Requirement Elicitation Abstract: In Requirement Engineering, Gathering Require- ments plays a vital role in the Software Development Process. There are lot of processes available to gather requirements i.e. Brainstorming, Interview, Observation. This process takes lot of time and effort for the developer to gather and continue the development, and if the requirements which are analyzed are not up to the satisfaction of the user, it will cause issues in end product resulting in loss of human effort, time and cost. To overcome this issue faced by the developers we have developed a tool using item-based collaborative algorithm for users which will recommend users the required set of functional and non- functional requirements based upon the questionnaire given to the user and produce a software requirement specification (SRS).

Keywords: Item-Based Collaborative Filtering, Requirement Engineering, SDLC, Software Development Life Cycle, Requirement Elicitation

References: 42. 1. Massila Kamalrudin “Automated Software Tool Sup- port for Checking the Inconsistency of Requirements”,2009 IEEE/AM International Conference on Automated Software Engineering. 230-233 2. Mohamed A. Abd Elmoniem “A Requirements Elici- tation Tool for Cloud-Based ERP Software”, MECSE 2017, December 2017, Cairo,Egypt. 3. Nor Aiza Moketar, Massila Kamalrudin, Safiah Sidek “An Automated Collaborative Requirements Engineering”, ASE’16, September 3–7, 2016, Singapore,Singapore. 4. Sanjaya Kumar Saxena “Decisively- Application of Quantitative Analysis and Decision Science in Agile Require- ments Engineering”, 2014 IEEE 22nd Inter- national Require- ments Engineering Conference(RE). 5. Madhusudan Singh and Shiho Kim, “Reconcile Secu- rity Requirements for Intelligent Vehicles”, 2017 17th InternationalConference on Control, Automation and Systems (ICCAS2017). 6. Ropak Sinha, Sandeep Patil2, Cheng Pang, Valeriy Vy- atkin„ and Barry Dowdeswell, “Requirements Engineer- ing of Industrial Automation”,IECON2015-Yokohama. 7. K. Li, R.G. Dewar, R.J. Pooley, “Computer-Assisted and Customer-Oriented Requirements Elicitation”, Proceed- ings of the 2005 13th IEEE International Conference on Requirements Engineering(RE’05). 8. Qian Zhang Armin Eberlein, “Architectural Design OfAn Intelligent Requirements Engineering Tool” ICSE ’04 Proceedings of the 26th International Conference on Software EngineeringPages. 9. Neil W. Kassel and Brian A., “Automation of Require- ment Analysis in Software Engineering”, International Journal on Recent and Innovation Trends in Computing and Communication ISSN:2321-8169. 10. Sanjaya Pandey, Subik Pokharel, Hassan Reza, “Towards Cyber-physical Requirement Engineering”, 2018 TSI Press,Inc. Authors: Anisah Mat Serudin, Md Azree Othuman Mydin, Abdul Naser Abdul Ghani Paper Title: Enhancement of Mechanical Properties of Lightweight Foamed Concrete using Fibermesh Abstract: Foamed concrete is one of the lightweight concretes that has been investigated widely due to its potential use as a building element as well as due to its benefits, which are low in self weight, more durable, self- compacting and has excellent thermal insulation properties. The major limitation of this material is because of its characteristics which are weak in tension and suffers high shrinkage. Therefore, the introduction of fiber in foamed concrete becomes a popular research focus among researchers in conducting a study since it can aid in overcoming this problem. Thus, this research was performed to investigate the mechanical properties of foamed concrete with the enclosure of fibermesh. Fibermesh with a size of 160g weight per square meter was examined on three densities of foamed concrete (800kg/m3, 1100kg/m3, 1400 kg/m3). The cement-sand used in this study was constantly maintained at 1:1.5 and the water to cement ratio was fixed at 0.45. Moreover, this study also explored 43. 234-242 the improvement of foamed concrete strength from without any addition of fiber (control) to 1, 2, and 3 layer(s) of fibermesh enclosure. There were three experimental tests conducted to determine the foamed concrete strength which are compressive strength test, flexural test, and splitting tensile test. The experimental results showed that, foamed concrete gave the highest strength results at a density of 1400kg/m3 with the \ enclosure of 3 layers of fibermesh while the lowest strength was attained at 800kg/m3 density with no addition of fiber (control specimen). The positive improvement in foamed concrete strength obviously showed after enclosure of fibermesh compared to the plain foamed concrete, where at density of 1400kg/m3 with 3 layers enclosure of fibermesh, 96% of changes was recorded in the compressive strength test while 332% was shown in the flexural strength test and 421% was recorded in the splitting tensile test.

Keywords: Foamed concrete, fibermesh, compressive strength, flexural strength, splitting tensile strength.

References: 1. R., Rostami, S.M., Koshnava, A., Ahankoob, R., Rostami. 2008. “Green construction Trends in Malaysia.” Management in Construction Research Association (MiCRA) Postgraduate Conference. 2. M. A., Othuman Mydin, N. A., Rozlan, S., Ganesan. 2015. “Experimental study on the mechanical properties of coconut fiber reinforced lightweight foamed concrete.” Journal of Materials and Environmental Science. 6(2):407-411 3. Deijik S, Van. 1991. Foam Concrete. 4. Solemazadeh, S., and M. A Othuman Mydin. 2013. “Influence of High Temperatures on Flexural Strength of Fomaed Concrete Containing Fly Ash and Polypropylene Fiber.” Int. Journal of Engineering 26(1): 365–74. 5. Meheddene, M, B Hisham, Hadi A.C, and E Adel. 2014. “Alkali Treatment of Fan Palm Natural Fibers for Use in Fiber Reinforced Concrete.” European Scientific Journal 10(2): 186–94. 6. K.C., Brady, G.R.A., Watts, M.R., Jones. 2001. “Specification for foamed concrete.” pp. 5-12 7. Y.H.M. Amran, N.Farzadnia, A.A.Abang Ali. 2015. “Properties and applications of foamed concrete; review”. Construction and Building Materials 101:990-1005. 8. M., Murugan, C., Natarajan, K., Muthukkumaran. 2013. “Compressive Behavior of Concrete Cylinders Confined with Glass and Carbon Fiber Reinforced Polymers.” International Journal of Structural and Civil Engineering Research. 2(2):69-76. 9. M.N., Noorsidi Aizuddin, M., Hazren. “Fiber Reinforced Polymer Concrete Structures – Opportunities and Concerns.” 10. A.R., Rahai, P., Sadeghaian, M.R. Ehsani. 2008. “Experimental Behavior of Concrete Cylinders Confined with CFRP Composites”. The 14th World Conference on Earthquake Engineering. 11. P.R., Prasad, B.M., Reddy. 2016. “Improvement of Compressive Strength of Reinforced Cement Concrete Elements Using CFRP wrapping.” Int. Journal of Latest Trends in Engineering and Technology (IJLTET). 6(4):53-79. 12. Bashar, I.I., Alengaram, U.J., Jumaat, M.Z., Islam, A, Santhi, H., Sarmin, A. 2016. “Engineering properties and fracture behaviour of high volume palm oil fuel ash based fiber reinforced geopolymer concrete.” Construction and Building Materials 111:286-297. 13. ASTM. 2005. “Standard Specification for Portland Cement ASTM C-150.” Annual Book of ASTM Standards. 04(02). 14. ASTM. 2005. “Standard Specification for Standard Sand.” Annual Book of ASTM Standards. 04(02). 15. Nambiar, E.K.K., Ramamurthy, K. 2006. “Influence of filler type on the properties of foam concrete”. Cement and Concrete Composites. 28(5):474-480. 16. Talaei, S., Jafri, M., M., Tarfan, S., Hashemlou, H. 2014. “The Effect of ratio of Aggregate to Cement Paste Volume on Structural Lightweight Concrete Strength Viscosity, Density and Cost. 6(9):443-450. 17. ASTM. 2005. “Specification for Mixing Water Used in the Production of Hydraulic Cement Concrete.” Annual Book of ASTM Standards. 04(02). 18. M.A., Othuman Mydin, M., Musa, A.N., Abdul Ghani. 2018. “Fiber Glass Strip Laminates Strengthened Lightweight Foamed Concrete: Performance Index, Failure Modes and Microscopy Analysis.” AIP Conference Proceedings 2016 (September). 1-8 19. British Standard Institution. 2009. “BS EN 12390-3 Testing Hardened Concrete Part 3: Compressive Strength of Test Specimens.” British Standard Institution. 20. ASTM C348. 2002. “Flexural Strength of Hydraulic-Cement Mortars.” ASTM International 04: 1–6. 21. ASTM C496. 2006. “Standard Test Method for Splitting Tensile Strength of Cylindrical Concrete Specimens.” ASTM International. 1–5. 22. A.A., Raheem, A.A., Soyingbe, A.J., Emenike. 2013. “Effect of Curing Methods on Density and Compressive Strength of Concrete.” Cement and Concrete Composites. 3(4):55-64. 23. H., Awang, M.H., Ahmad, M.Z., Al-Mulali. 2015. “Influence of Kenaf and Polypropylene Fibers of Reinforced Lightweight Foamed Concrete.” Journal of Engineering Science and Technology. 10(4):496-508. 24. J., Norgaard, M. A., Othuman Mydin. 2013. “Drywall Thermal Properties Exposed to High Temperatures and Fire Condition.” Jurnal Teknologi 62(1) 63-68 25. R. Kolopm Haziman W.I.M., J.W. Eng. 2008. “Properties of Cement Blocks Containing High Content of Oil Palm Empty Fruit Bunches (EFB) Fibers.” 26. Parveen, S. Sharma. 2013. “Structural Behaviour of Fibrous Cement Using Polypropylene Fibers.” International Journal of Modern Engineering Research (IJMER)3(3):1279-1282. Authors: Nur Nabilah Mohamad Bakhtiar, Md Azree Othuman Mydin, Abdul Naser Abdul Ghani Mercerization Effect on Mechanical Properties of Empty Fruit Bunch Fibre in Reinforcing Low Paper Title: Densities Lightweight Foamed Concrete Abstract: Due to the minimum cost, availability and renewable character, natural fibre had managed to grab the attention of researchers to utilize this industrial waste as industrial and structural material to restore the structures. This is due to the renewable nature of the fibre, minimal cost, low density and the amenability towards the chemical modification. The purpose of this paper is to oversee the reaction of empty fruit bunches fibre in the low densities of lightweight foamed concrete after been modified with the different percentages of alkali treatment using sodium hydroxide (NaOH). The effect of this fibre chemical treatment (2%-10% sodium hydroxide chemical treatment) on the mechanical properties of lightweight foamed concrete was investigated expansively. There were three different densities of lightweight foamed concrete (500kg/m3, 700kg/m3 and 900kg/m3) used in this study. There were three different experimental test conducted to determine the lightweight foamed concrete strengths which were axial compressive strength test, flexural test and splitting tensile strength. The test result shows that 44. 6% of sodium hydroxide chemical treatment of empty fruit bunches fibre offered the best results. The result 243-253 showed that the highest strength result is obtained from 900kg/m3 density of lightweight foamed concrete with 6% sodium hydroxide treatment on the empty fruit bunches fibre while the lowest strength was obtained by 500kg/m3 lightweight foamed concrete with 0% of sodium hydroxide treatment on the fibre. Out of 257% of intensification in axial compressive strength test, 88% were showed in flexural strength test and 61% increase in splitting tensile strength test.

Keywords: Lightweight foamed concrete, natural fibre, mechanical properties References: 1. Johnson Alengram, U., Mohd Z. Jumaat., Hilmi Mahmud., Moastasem M. Fayyadh “Shear behaviour of reinforced palm kernel shell concrete beams”Construction and Building Materials 25 (2011) 2918-2927 2. Vajje, S. & Krishna.N., (2013). Study On Addition Of The Natural Fibers Into Concrete. International Journal Of Science & Technology Research, 2 (11), 213-218 3. Nabi Saheb, D. and Jog, J.P., Natural Fiber Composites:a Review. Advances in Polymer Technology, 18(1999), 351-363 4. Othuman Mydin, M. A., Sahidun, N. S., Mohd Yusof, M. Y., Md Noordin, N. (2015). Compressive, Flexural And Splitting Tensile Strengths Of Lightweight Foamed Concrete With Inclusion of Steel Fibre. Jurnal Teknologi, Volume 7(5): pp. 45-50. 5. Kunhanandan Nambiar. E. K. &Ramamurthy. K. (2007), Air-void characterisation of foam concrete. Cement and Concrete Research, 37, pp221-230 6. M. A. Othuman Mydin, N. Md. Noordin, N. Utaberta, M. Y. Mohd Yunos, S. Segeranazan. (2016). “Physical properties of foamed concrete incorporating coconut fibre.” Jurnal Teknologi, 78 (5) 99–105 7. Soleimanzadeh, S., Othuman Mydin, M. A. (2013) Influence of High Temperatures on Flexural Strength of Foamed Concrete Containing Fly Ash and Polypropylene Fiber. International Journal of Engineering. 26(1): 365-374 8. M. M. Kabir, H. Wang, K.T. Lau, and F. Cardona, ‘Chemical Treatments on plant-based natural fibre reinforced polymer composites: an overview”, Composites Part B: Engineering, vol. 43, no 7 (2012), pp. 2883-2892 9. J., Norgaard, M. A., Othuman Mydin. 2013. “Drywall Thermal Properties Exposed to High Temperatures and Fire Condition.” Jurnal Teknologi 62(1) 63-68 10. M. George, P. G. Mussone, Z. Abboud, and D. C. Bressler, “Characterization of chemically and enzymatically treated hemp fibres using atomic force microscopy and spectroscopy,” Applied Surface Science, vol. 314 (2014), pp. 1019-1025 11. La Mantia, F. P & Morreale, M., Green Composites: A brief review, Composites: Part A, 42 (2011), pp 579-588 12. Meheddene, M., Hisham, B., Hadi, A. C., Adel, E., Alkali Treatment of fan palm natural fibres for use in fibre reinforced concrete”, European Scientific Journal, vol. 10, No. 12 (2014), pp. 186-194 13. British Standard Institution. 2009. “BS EN 12390-3 Testing Hardened Concrete Part 3: Compressive Strength of Test Specimens.” British Standard Institution. 14. ASTM C348. 2002. “Flexural Strength of Hydraulic-Cement Mortars.” ASTM International 04: 1–6. 15. ASTM C496. 2006. “Standard Test Method for Splitting Tensile Strength of Cylindrical Concrete Specimens.” ASTM International. 1–5. 16. E. B Coker, S. Sadiku, J. L. Aguwa and M. Abdullah, “Study of the strength characteristics of protien-based lightweight foamed concrete with cement partially replaced with rice husk ash,”Nigerian Journal of Technology (NIJOTECH), vol. 35, no. 4 (October 2016), pp 699- 706. 17. M. A., Othuman Mydin, N. A., Rozlan, S., Ganesan. 2015. “Experimental study on the mechanical properties of coconut fiber reinforced lightweight foamed concrete.” Journal of Materials and Environmental Science. 6(2):407-411. 18. Solemazadeh, S., and M. A Othuman Mydin. 2013. “Influence of High Temperatures on Flexural Strength of Fomaed Concrete Containing Fly Ash and Polypropylene Fiber.” International Journal of Engineering 26(1): 365–74.. 19. M.A., Othuman Mydin, M., Musa, A.N., Abdul Ghani. 2018. “Fiber Glass Strip Laminates Strengthened Lightweight Foamed Concrete: Performance Index, Failure Modes and Microscopy Analysis.” AIP Conference Proceedings 2016 (September). 1-8 20. M.A. Othuman Mydin, N. Md Sani, M. Taib. 2014. “Industrialised Building System in Malaysia: A Review.” MATEC Web of Conferences. 10, 01002. 21. Hummel, D. (2008). Chapter 17 – The International Vortex Flow Experiment 2 (VFE-2): Objectives and OverviewRTO-TR-AVT-113, Page 17-1 – 17-20 22. Luckring, J.M. and Hummel, D. (2008). Chapter 24 – What Was Learned From The New VFE-2 Experiments. RTO-TR-AVT-113. 23. Longest, P., and Vinchurkar, S. “Effects of mesh style and grid convergence on particle depositon in bifurcating airway models with comparisons to experimental data.” Medical Engineering & Physics, no. 29 (2007): 350-366. 24. Torres, A., G. Lipeme Kouyi, J. L. Bertrand-Krajewski, J. Guilloux, S. Barraud, and A. Paquier. "Modelling of hydrodynamics and solid transport in a large stormwater detention and settling basin." In 11 th International Conference on Urban Drainage. 2008. Authors: Noor H Jabarullah Temperature Dependence of Quantum Dots-In-Well Infrared Photo Detectors (QDIPs) Using Paper Title: Photoluminescence Abstract:A research of quantity dots-in-well infrared photo detectors (QDIPs) produces helpful outcomes for creating a two-color QDIP. Quantum dot infrared photo detectors (QDIPs) have been shown to be a main technology in mid-and long-wavelength infrared detection owing to their capacity for normal incidence operation and low dark current. This research explores infrared detectors based on intersubband transitions in a novel heterostructure of InAs / In0.15 Ga0.85 As / GaAs quantum dots-in-well (DWELL). The InAs quantum dots are also positioned in an In0.15 Ga0.85 in the DWELL framework, which in turn is well positioned with the In0.1Ga0.9As obstacle in GaAs quantum. Using fourier transform infrared spectroscopy, the optical characteristics of the sample were researched using photoluminescence and photocurrent. Spectrally adjustable reaction was noted at 6.2μm and 7.5μm with prejudice and lengthy wave IR reaction.

Keywords:QDIPs, Photoluminescence, DWELL

45. References: 1. A.Y.Cho. (1971). Film Deposition by Molecular Beam Techniques. Journal of Vaccum Science Technology (8), 31-38. 254-259 2. A.Y.Cho. (1979). Recent Developments in structures Molecular Beam Epitaxy (MBE). Journal of Science Technology , 16, 275-284. 3. Broekart, T. P., &Fonstad, C. (1992). Novel Organic Acid Based Etchants for InGaAlAs/InPHeterostructure Devices with AlAs Etch-Stop Layers. Journal of Electrochemical Society , 139 (8). 4. Chang, L., L.Esaki, Howard, W., R.Ludeke, &G.Schul. (1973). Structures Grown by Molecular Beam Epitaxy. Journal of Vacuum Science Technology (10), 655-662. 5. Colorado, U. o. (2010). IR Spectroscopy Tutorial. Retrieved August 25, 2010, from Spectroscopy: http://orgchem.colorado.edu/hndbksupport/irtutor/main.html 6. Gupta, R., Lai, K. T., Missous, M., & Haywood, S. K. (2004). Subbandnonparabolicity estimated from multiple intersubband absorption in highly doped multiple quantum wells. Physical Review B , 69 (3), 033303. 7. Gupta, R., Wong, A. L., & Haywood, S. K. (1999). 3μm intersubband Quantum Well Photodetector (QWIP). Tr. Journal of Physics , 23, 673-679. 8. Haywood, S. K., Lai, K. T., &Missous, M. (2006). Mid-infrared Semiconductor Optoelectronics. Berlin: Springer. 9. Krishna, S. (2005). Quantum dots-in-a-well infrared photodetectors. Journal of Physics D: Applied Physics , 38 (13), 2142-2150. 10. Levine, B. F. (1993). Quantum-well infrared photodetectots. Journal of Applied Physics , 74 (8), 1-81. 11. Ling, H. S., Wang, S. Y., Lee, C. P., & Lo, M. C. (2008). High quantum effieciency dots-in-a-well quantum dot infrared photodetectors with AlGaAs confinement enhancing layer. Applied Physics Letters , 92 (19), 193506. 12. Liu, H. C. (2003). Quantum dot infrared photodetector. Opto-epectronicsReview , 11, 1-5. 13. Martyniuk, P., Krishna, S., &Rogalski, A. (2008). Assessment of quantum dot infrared photodetectors for high temperature operation. Journal of Applied Physics , 104 (3), 034314. 14. Mashade, M. B., Ashry, M., & Nasr, A. (2003). Therotical analysis of quantum dot infrared photodetectors. Semiconductor Science and Technology , 18 (9), 891-900. 15. Micaleff, J., &Wiess, B. L. (1990). The refractive index of III-Iv semiconductor strained-layer superlattices. Optical and Quantum Electronics , 669-684. 16. Osbourn, G. (1982). Journal of Applied Physics. Strained layer superlattices from lattice mismatch materials , 53, 1586-1589. 17. Parker, G. (1994). Introductory Semiconductor Device Physics. Prentice Hall International (UK) Limited. 18. Philips, J. (2002). Evaluation of the fundamental properties of quantum dot infrared detectors. Journal of Applied Physics , 91 (7), 4590- 4594. 19. Pryor, C., & Pistol, M. (2005). Bande-edge diagrams for strained III-IV semiconductor quantum wells, wires and dots. Physical Review B , 72, 1098-1121. 20. Rhyzii, V. (1997). Characteristics of quantum well infrared photodetectors. Journal of Applied Physics , 81 (9), 6442-6448. 21. Rinaldi, F. (2002). Annual Report Optoelectronics Department. University of Ulm. 22. Rogalski, A. (2009). Outlook on Quantum dot infrared photodetectors. Optical Memory and Neural Networks (information Optics) , 18 (3), 234-252. 23. Rogalski, A. (2002). Quantum Well Infrared Photoconductors In Infrared Detection Technology. International Journal of High Speed Electronics and Systems, 12 (3), 593-658. 24. Rogalski, A. (2003). Quantum well photodetectors in infrared detector technology. Journal of Applied Physics, 93 (8), 4355-4391. 25. Schneider, H., & Liu, H. C. (2007). Quantum Well Infrared Photodetectors Physics and Applications. Heidelberg: Springer. 26. Shenoi, R. V., Attaluri, R. S., Siroya, A., Shao, J., Sharma, Y. D., Stinz, A., et al. (2008). Low Strain InAs/InGaAs/ quantum dots-in-a well infrared photodetector. Journal Vaccum Science Technology , 26 (3), 1136-1139. 27. Strading, R. A., &Klipstein, P. C. (1990). Growth and characterisation of semiconductors. Bristol: J W Arrowsmith Ltd. 28. Sze, S. M., & Ng, K. K. (2007). Physics Of Semiconductor Devices. John Wiley & Sons. 29. Vurgaftman, I., & Meyer, J. R. (2001). Band parameters for III-IV compound semiconductor and thier alloys. Applied physics review , 89 (11), 5818-5875. 30. Wilson, J., & Hawkes, J. (1998). Optoelectronics an Introduction. Prentice Hall. Authors: Rohaidah Masri, Nor Fadzilah Abdul Ladi, Nor’ashiqinMohd Idrus, Nor Haniza Sarmin Paper Title: Formulation of the Nonabelian Tensor Square of a Bieberbach Group Abstract:A Bieberbach set can be categorized as a torsion free crystallographic set. Some properties can be explored from the set such as the property of nonabelian tensor square. The nonabelian tensor square is one type of the homological factors of sets. This paper focused on a Bieberbach set with C2 ×C2 as the point set of lowest dimension three. The purpose of this paper is to determine the generalization of the formula of the nonabelian tensor square of one Bieberbach set with point set C2 × C2of lowest dimension three which is denoted by S2(3) up to dimensionn. The polycyclic presentation, the abelianization of S2(3) and the central subgroup of the nonabelian tensor square of S2(3) are also presented.

Keywords:Bieberbach set, Nonabelian Tensor Square, Homological Functor.

References: 1. Brown, R. and Loday, J. L. "Van Kampen Theorems for Diagram of Spaces. " Topology, no.26 (1987):311-335. 2. Sarmin, N. H., Kappe, L. C. and Visscher, M. P. "Two-Generator Two-Groups of Class Two And Their Nonabelian Tensor Squares." Glasgow Mathematical Journal 41, no. 3 (1999):417-430. 3. Bacon, M. R. and Kappe, L. C. "On Capable p-groups of Nilpotency Class Two." Illinois Journal of Mathematics, no. 47 (2003):49-62. 4. Blyth, R. D., Moravec, P. and Morse, R. F. "On the Nonabelian Tensor Squares of Free Nilpotent groups of Finite Rank. "Contemporary Mathematics, no. 470 (2008):27-44. 46. 5. Blyth, R. D. and Morse, R. F. "Computing the nonabelian tensor squares of polycyclic groups." Journal of Algebra, no.321(2009):2139- 2148. 260-263 6. Masri, R. (2009). The Nonabelian Tensor Squares of Certain Bieberbach Groups with Cyclic Point Group of Order Two. Universiti Teknologi Malaysia, Skudai,Malaysia. (PhD Thesis) 7. Mohd Idrus, N. (2011). Bieberbach Groups with Finite Point Groups. Universiti Teknologi Malysia, Skudai, Malaysia. (PhD Thesis) 8. Wan Mohd Fauzi, W. N. F., Mohd Idrus, N., Masri, R. and Tan, Y. T. "On Computing the Nonabelian Tensor Square of Bieberbach Group with Dihedral Point Group of Order 8." Journal of Science and Mathematics Letters, no.2(2014):13-22. 9. Mat Hassim, H. I. (2014). The Homological Functors of Bieberbach Groups with Cyclic Point Groups of Order Two, Three and Five. Universiti Teknologi Malaysia, Skudai, Malaysia. (PhD Thesis) 10. Tan, Y. T., Mohd Idrus, N., Masri, R., Wan Mohd Fauzi, W. N. F., Sarmin, N. H. and Mat Hassim, H. I. "The Nonabelian Tensor Square of Bieberbach Group with Symmetric Point Group of Order Six." Jurnal Teknologi78, no.1 (2016a):189-193. 11. Tan, Y. T., Mohd Idrus, N., Masri, R., Sarmin, N. H. and Mat Hassim, H. I. "On the Generalization of the Nonabelian Tensor Square of Bieberbach Group with Symmetric Point Group." Indian Journal of Science and Technology 9, no. S1 (2016):1-6. 12. Masri, R., Abdul Ladi, N. F., Mohd Idrus, N., Tan, Y. T. and Sarmin, N. H. "The Nonabelian Tensor Squares of A Bieberbach Group of Dimension Three with Point Group."( International Journal of Advanced and Applied Sciences – In Press). 13. Rocco, N. R. "On a Construction Related to The Nonabelian Tensor Squares of a Group." Bol. Soc. Brasil. Mat.(N. S.) 22, no.1 (1991):63- 79. 14. Ellis, G. and Leonard, F. "Computing Schur Multipliers and Tensor Products of Finite Groups." Proceedings Royal Irish Academy2, Sect. 95A (1995). 15. Blyth, R. D., Fumagalli, F. and Morigi, M. "Some Structural Results on the Non-abelian Tensor Square of Groups." Journal of Group Theory, no.13 (2010):83-94. 16. Zomorodian, A. J. (2005). Chapter 4 - Topology for Computing. Cambridge University Press, New York, page. 79– 82. Authors: Mahadevaswamy, D J Ravi

Paper Title: Performance of Isolated and Continuous Digit Recognition System Using Kaldi Toolkit Abstract: A digit recognition system is built for recognizing the sequence of digits through 0-9. The system is 264-271 experimented with speech corpus created in the room environment. The acoustic information to feature representation is achieved using PLP and MFCC features. The system initially utilized the conventional GMM-

HMM framework, state of the art hybrid classifier with varied number of states to complete the speech recognition task, i.e., the system is first trained and tested using Monophone models, and system’s recognition accuracy is then evaluated using Triphone Models: Triphone1 models, which was later followed by Triphones2 models and Triphones3 Models. The N-gram Language model is used for both Monophone and Triphone training. The system performance is evaluated with the use of MFCC and PLP parameterisation techniques on Kaldi toolkit. The system performance is evaluated using metrics word error rate (WER) and Word Recognition Accuracy (WRA). The proposed system can be utilized for building speech applications.

Keywords: PLP, MFCC, GMM-HMM and KALDI TOOLKIT.

References: 1. Long, Yanhua, Yijie Li, Hone Ye, and Hongwei Mao. "Domain adaptation of lattice-free MMI based TDNN models for speech recognition." International Journal of Speech Technology 20, no. 1 (2017): 171-178. 2. Rath, Shakti P. "Factored front-end CMLLR for joint speaker and environment normalization under DNN-HMM." International Journal of Speech Technology 20, no. 4 (2017): 859-867. 3. Kumar, Yogesh, and Navdeep Singh. "An automatic speech recognition system for spontaneous Punjabi speech corpus." International Journal of Speech Technology 20, no. 2 (2017): 297-303. 4. Maas, Andrew L., Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, and Andrew Y. Ng. "Building DNN acoustic models for large vocabulary speech recognition." Computer Speech & Language 41 (2017): 195-213. 5. Touazi, Azzedine, and Mohamed Debyeche. "An experimental framework for Arabic digits speech recognition in noisy environments." International Journal of Speech Technology20, no. 2 (2017): 205-224. 6. Londhe, Narendra D., and Ghanahshyam B. Kshirsagar. "Chhattisgarhi speech corpus for research and development in automatic speech recognition." International Journal of Speech Technology 21, no. 2 (2018): 193-210. 7. Guglani, Jyoti, and A. N. Mishra. "Continuous Punjabi speech recognition model based on Kaldi ASR toolkit." International Journal of Speech Technology 21, no. 2 (2018): 211-216. 8. Bharali, Sruti Sruba, and Sanjib Kr Kalita. "Speech recognition with reference to Assamese language using novel fusion technique." International Journal of Speech Technology(2018): 1-13. 47. 9. Popli, Abhimanyu, and Arun Kumar. "Multilingual query-by-example spoken term detection in indian languages." International Journal of Speech Technology 22, no. 1 (2019): 131-141. 10. Manjunath, K. E., Dinesh Babu Jayagopi, K. Sreenivasa Rao, and V. Ramasubramanian. "Development and analysis of multilingual phone recognition systems using Indian languages." International Journal of Speech Technology 22, no. 1 (2019): 157-168. 11. Mittal, Puneet, and Navdeep Singh. "Development and analysis of Punjabi ASR system for mobile phones under different acoustic models." International Journal of Speech Technology 22, no. 1 (2019): 219-230. 12. Chiluveru, Samba Raju, and Manoj Tripathy. "Low SNR speech enhancement with DNN based phase estimation." International Journal of Speech Technology 22, no. 1 (2019): 283-292. 13. Kadyan, Virender, Archana Mantri, R. K. Aggarwal, and Amitoj Singh. "A comparative study of deep neural network based Punjabi-ASR system." International Journal of Speech Technology 22, no. 1 (2019): 111-119. 14. Kalamani, M., M. Krishnamoorthi, and R. S. Valarmathi. "Continuous Tamil Speech Recognition technique under non stationary noisy environments." International Journal of Speech Technology 22, no. 1 (2019): 47-58. 15. Zia, Tehseen, and Usman Zahid. "Long short-term memory recurrent neural network architectures for Urdu acoustic modeling." International Journal of Speech Technology 22, no. 1 (2019): 21-30. 16. Dua, Mohit, Rajesh Kumar Aggarwal, and Mantosh Biswas. "GFCC based discriminatively trained noise robust continuous ASR system for Hindi language." Journal of Ambient Intelligence and Humanized Computing 10, no. 6 (2019): 2301-2314. 17. Benba, Achraf, Abdelilah Jilbab, and Ahmed Hammouch. "Discriminating between patients with Parkinson’s and neurological diseases using cepstral analysis." IEEE transactions on neural systems and rehabilitation engineering24, no. 10 (2016): 1100-1108. 18. Young, Steve, Gunnar Evermann, Mark Gales, Thomas Hain, Dan Kershaw, Xunying Liu, Gareth Moore et al. "The HTK book." Cambridge university engineering department 3 (2002): 175 19. Benba, Achraf, Abdelilah Jilbab, and Ahmed Hammouch. "Analysis of multiple types of voice recordings in cepstral domain using MFCC for discriminating between patients with Parkinson’s disease and healthy people." International Journal of Speech Technology 19, no. 3 (2016): 449-456 20. Hermansky, Hynek. "Perceptual linear predictive (PLP) analysis of speech." the Journal of the Acoustical Society of America 87, no. 4 (1990): 1738-1752 21. Ho, Aileen K., Robert Iansek, Caterina Marigliani, John L. Bradshaw, and Sandra Gates. "Speech impairment in a large sample of patients with Parkinson’s disease." Behavioural neurology 11, no. 3 (1999): 131-137 22. Logemann, Jeri A., Hilda B. Fisher, Benjamin Boshes, and E. Richard Blonsky. "Frequency and cooccurrence of vocal tract dysfunctions in the speech of a large sample of Parkinson patients." Journal of Speech and hearing Disorders 43, no. 1 (1978): 47-57 23. D. Povey, A. Ghoshal et. al, "The Kaldi Speech Recognition Toolkit", ASRU 2011 24. Upadhyaya, P., Farooq, O. & Abidi, M.R. Int J Speech Technol (2018) 21: 797. https://doi.org/10.1007/s10772-018-9545-2 25. Heejin Kim, Mark Hasegawa-Johnson, Adrienne Perlman, Jon Gunderson, Thomas Huang, Kenneth Watkin, and Simone Frame,Dysarthric Speech Database for Universal Access Research, Interspeech 2008, pp. 1741-4 (NSF 0534106; NIH DC008090A; Data) Authors: V. Murugananthan, Udayakumar Durairaj Paper Title: RUS Boost Tree Ensemble Classifiers for Occupancy Detection Abstract: In this research paper, various ensemble classifiers are used to predict occupancy status using samples of light, temperature, humidity, CO2, humidity ratio sensor data. Occupancy detection will save energy making room for smart buildings in smart cities. It paves ways to decide on heating, ventilation, cooling and lighting. To achieve 'white box' output and facilitate explanatory interpretation, decision tree was employed, Several weak 48. learner decision trees were melded to form RUSBoosted Tree ensemble classifier. On investigation of the results, 272-277 it is seen that RUSBoostedTree Ensemble gives the highest accuracy rate of 99%. Keywords: Occupancy Detection, Classification, Ensemble, RUSBoosted Tree ensemble classifier, sensor data.

References: 1. Shen W., Newsham G, Implicit Occupancy Detection for Energy Conversation in Commercial Buildings: A Survey, Submitted to CSCWD 2016,2016 2. V.L. Erickson, M.Á. Carreira-Perpi˜ nán, A.E. Cerpa, OBSERVE: Occupancy-based system for efficient reduction of HVAC energy, in: Proceedings of the 10th International Conference on, IEEE, Information Processing in Sensor Networks (IPSN), Chicago, IL, 2011, pp. 258– 269. 3. V.L. Erickson, M.Á. Carreira-Perpiñán, A.E. Cerpa, Occupancy modeling and prediction for building energy management, ACM Trans. Sensor Netw. (TOSN)10 (3) (2014) 42. 4. Dong B., Andrews B., (2009). Sensor-based occupancy behavioral pattern recognition for energy and comfort management in intelligent buildings. Proceedings of Building Simulation. 5. J. Brooks, S. Goyal, R. Subramany, Y. Lin, T.Middelkoop, L. Arpan, L. Carloni, P.Barooah, An experimental investigation of occupancy- based energy-efficient control of commercial building indoor climate, in: Proceeding of the IEEE 53rd Annual Conference on, IEEE, Decision and Control (CDC), Los Angeles, CA, 2014, pp.5680–5685. 6. J. Brooks, S. Kumar, S. Goyal, R. Subramany, P.Barooah, Energy-efficient control of underactuated HVAC ones in commercial buildings, Energy Build. 93 (2015) 160–168. 7. Shen W., Newsham G, Smart Phone Based Occupancy Detection in Office Buildings, Proceedings of the 2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design, pp. 632,636 8. Candanedo L.M., Feldheim V., Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models, Energy and Buildings 112 (2016) 28–39 9. E. Hailemariam, R. Goldstein, R. Attar, A. Khan, Real-time occupancy detection using decision trees with multiple sensor types, in: Proceedings of the 2011 Symposium on Simulation for Architecture and Urban Design, Society for Computer Simulation International, San Diego, CA, 2011, pp. 141–148. 10. A. Ebadat, G. Bottegal, D. Varagnolo, B. Wahlberg, K.H. Johansson, Estimation of building occupancy levels through environmental signals deconvolution, in: Proceedings of the 5th ACM Workshop on Embedded Systems For Energy- Efficient Buildings, ACM, Rome, Italy, 2013, pp. 1–8. 11. B. Dong, B. Andrews, K.P. Lam, M. Höynck, R. Zhang, Y.-S. Chiou, D. Benitez, An information technology enabled sustainability test- bed (ITEST) for occupancy detection through an environmental sensing network, Energy Build. 42 (7) (2010) 1038–1046. 12. N. Li, G. Calis, B. Becerik-Gerber, Measuring and monitoring occupancy with an RFID based systemfor demand-driven HVAC operations, Automat. Construct. 24 (2012) 89–99. 13. Z. Yang, N. Li, B. Becerik-Gerber, M. Orosz, A systematic approach to occupancy modeling in ambient sensor-rich buildings, Simulation 90 (8) (2014) 960–977. 14. T. Ekwevugbe, N. Brown, V. Pakka, D. Fan, Real-time building occupancy sensing using neural-network based sensor network, in: 7th IEEE International Conference on IEEE, Digital Ecosystems and Technologies (DEST), Menlo Park, California, 2013, pp. 114–119. 15. S. Meyn, A. Surana, Y. Lin, S.M. Oggianu, S. Narayanan, T.A. Frewen, A sensor-utility-networkmethod for estimation of occupancy in buildings, in: Decision and Control, 2009 held jointly withthe 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on, IEEE, Shanghai, P.R. China, 2009, pp. 1494–1500. 16. Z. Yang, N. Li, B. Becerik-Gerber, M. Orosz, A multi-sensor based occupancy estimation modelfor supporting demand driven HVAC operations, in: Proceedings of the 2012 Symposium on Simulation for Architecture and Urban Design, Society for Computer Simulation International, San Diego, CA, USA, 2012, pp. 49–56. Authors: Clara Shanthi .G, V. Cyril Raj Paper Title: An Efficient Forgery Image Detection Method using Hybrid Feature Extraction and Multiclass SVM Abstract: The advancement of image editing software tools in the image processing field has led to an exponential increase in the manipulation of the images. Subjective differentiation of original and manipulated images has become almost impossible. This has kindled the interest among researchers to develop algorithms for detecting the forgery in the image. Image-Splicing, Copy-Move and Image Retouching are the most common image forgery techniques. The existing methods to detect image forgery has drawbacks like false detection, high execution time and low accuracy rate. Considering these issues, this work proposes an efficient method for detection of image forgery. Initially, bilateral filter is used to remove the noise in pre-processing, Chan-Vese Segmentation algorithm is used to detect the clumps from the filtered image utilizing both intensity and edgeinformation, followed by hybrid feature extraction technique.Hybrid feature extraction technique comprises of Dual Tree Complex-Discrete Wavelet Transform (DWT), Principal Component Analysis (PCA) and Gray-Level-Co-Occurrence Matrix (GLCM). The DWT has dual-tree complex wavelet transform with important properties, it is nearly shift invariant and directionally selective in two and higher dimensions. Principal Component Analysis (PCA) finds the eigenvectors of a covariance matrix with the highest eigenvalues and uses these values to project the data into a new subspace of equal or less dimensions. Gray-Level-Co-Occurrence Matrix (GLCM) extracts the Feature values such as energy, entropy, homogeneity, standard deviation, variance, contrast, correlation and mean. Classification 49. is done based on the texture values of training dataset and testing dataset using Multi Class-Support Vector 278-284 Machine (SVM). The performance analysis is done based on the True positive, False positive and True negative values. The experimental results obtained using the proposed technique shows a better performance compared to the existing KNN classifier model.

Keywords: Chan-Vese algorithm, Hybrid Feature Extraction, Discrete Wavelet Transform (DWT), Principal Component Analysis (PCA), Gray-Level Co-Occurrence Matrix (GLCM), Multi-Class Support Vector Machine (Multi-Class SVM), Image Forgery Detection

References: 1. Mankar, S. K., &Gurjar, A. A. (2015). Image forgery types and their detection: A review. International Journal of Advanced Research in Computer Science and Software Engineering. 5(4). 2. de Carvalho, T.J.Riess, C. ; Angelopoulou, E.; Pedrini, H., “Exposing Digital Image Forgeries by Illumination Colour Classification” Information Forensics and Security, IEEE Transactions on,June 2013. 3. A. Rocha, W. Scheirer, T. Boult, S. Goldenstein, Vision of the Unseen: Current Trends and Challenges in Digital Image and Video Forensics", ACM Computing Surveys (CSUR), Volume 43Issue 4, October 2011, Article No. 26, 4. Saurabh Upadhyay, Sanjay Kumar Singh, “Video Authentication: Issues and Challenges" in IJCSI International Journal of Computer ScienceIssues,Vol. 9, Issue 1, No 3, January 2012 ISSN (Online):1694-0814. 5. Cao, Y., Gao, T., Fan, L., & Yang, Q. (2012). A robust detection algorithm for copy-move forgery in digital images. Forensic science international, 214(1-3), 33-43. 6. Fridrich, A. J., Soukal, B. D., &Lukáš, A. J. (2003). Detection of copy-move forgery in digital images. In Proceedings of Digital Forensic Research Workshop. 7. Myna, A. N., Venkateshmurthy, M. G., & Patil, C. G. (2007, December). Detection of region duplication forgery in digital images using wavelets and log-polar mapping. In International Conference on Computational Intelligence and Multimedia Applications(ICCIMA 2007) (Vol. 3, pp. 371-377). IEEE. 8. Zhang, J., Feng, Z., &Su, Y. (2008, November). A new approach for detecting copy-move forgery in digital images. In 2008 11th IEEE Singapore International Conference on Communication Systems (pp. 362-366). IEEE. 9. Joshi, D., and Pansare, S. (2015). Combination of Multiple Image features along with KNN classifier for classification. IEEE. 10. Reshma, P.D., and Arunvinodh, C. (2015). Image forgery detection using SVM Classifier. IEEE. 11. Teerakanok, S., and Uehara, T. (2018). Copy Move Forgery Detection Using GLCM-based Rotation Invariant Feature. IEEE. (COMPSAC). 12. Zawish, M., Siyal, A. A., Ahmed, K., Khalil, A., and Memon, S. (2019, January 14). Brain Tumour Segmentation in MRI Images using Chan-Vese Techniques in MATLAB. IEEE. 13. Hayat, K., and Qazi, T. (2017, August). Forgery detection in digital images via discrete wavelet and discrete cosine transforms. Computer and Electrical Engineering, Vol.62. Pp. 448 – 458. 14. Warif, N. B. A., Wahab, A. W. A., Idris, M. Y. I., Ramli, R. and Choo, K. R. (2016, November). Copy-move forgery detection: Survey, Challenges, and Future Directions. Journal of Network and Computer Applications. Vol. 75. Pp. 259 – 278. 15. Manu, V. T., and Mehtre, B. M. (2019, February). Tamper detection of social media images using quality artifacts and texture features. Forensic Science International. Vol. 295. pp. 100 – 112. 16. Qian, H., Mao, Y., Xiang, W., and Wang, Z. (2010). Recognition of human activities using SVM Multi-Class Classifier. Pattern Recognition Letters. Vol. 31. Iss. 2. Pp. 100 – 111. 17. Goel, A., and Vishwakarma, V.P. (2017). Fractional DCT and DWT hybridization based efficient feature extraction for gender classification. Pattern Recognition Letters. Vol.95. pp. 8 – 13. Authors: Hwei Teeng Chong, ChenKim Lim, KianLam Tan Teaching and Learning Insight among Higher Education Students utilizing E-Tool for Game Paper Title: Development Subject Abstract: There are many adapted teaching and learning (TL) practices that utilized e-learning tools to teach computer laboratories among the tertiary education students. What is the appropriate approach for TL on computing subjects catering for the current era of students? Since information and knowledge can be accessed widely and learnt from the Internet technology. Kolb’s experiential learning and inquiry-based learning approaches had presented several studies area application and resulted to enrich students’ hands-on learning. This research aimed to identify the teaching practices for game development related to computing skill subject. Focus is made for educators to adapt the teaching model as a method for students’ learning emphasizing on software skills in developing game content. The proposed teaching models are framed as referenced from both Kolb’s and inquiry- based learning theories to design the lesson plans and lab exercises. Then, a pilot test survey was conducted among the game students to retrieve their perception and experience throughout the learning process. The survey data presented students’ learning are effective by watching and doing. Corresponding, the inquiry-based model is recommended for teaching practices especially to students without any prior knowledge and skills in to the computing development subject. Therefore, this research suggested both teaching approaches to strengthen students’ basic knowledge learning prior to beginner level.

Keywords: Teaching and Learning (TL) Practices, Kolb’s Experiential Learning, Inquiry-based Learning, Game Development

References: 1. Mauricio, R., Veado, L., Moreira, R., Figueiredo, E., & Costa, H. (2018). A systematic mapping study on game-related methods for 50. software engineering education. Information and software technology, 95, 201 - 218. 285-290 2. Sife, A., Lwoga, E., & Sanga, C. (2007). New technologies for teaching and learning: Challenges for higher learning institutions in developing countries. International journal of education and development using ICT, 3(2), 57-67. 3. Voogt, J., Erstad, O., Dede, C., & Mishra, P. (2013). Challenges to learning and schooling in the digital networked world of the 21st century. Journal of computer assisted learning, 29(5), 403-413. 4. Islam, N., Beer, M., Slack, & Frances. (2015). E-learning challenges faced by academics in higher education. Journal of education and training studies, 3(5), 102-11. 5. Durmuscelebi, M. (2013). Examining candidate teachers' learning styles by some variables. International journal of academic research, 5(3), 210-219. 6. Konak, A., Clark, T., & Nasereddin, M. (2013). Best practices to design hands-on activities for virtual computer labotories. 3rd IEEE integrated STEM education conference (ISEC) (pp. 1 - 7). Princeton, NJ: IEEE. 7. Shamsudin, N. M., Abdullah, N., & Yaamat, N. (2013). Strategies of teaching science using an inquiry based science education (IBSE) by novice chemistry teachers. 6th International conference on university learning and teaching (InCULT 2012) (pp. 583-592). Selangor, Malaysia: Elsevier Ltd. 8. Buch, N. J., & Wolff, T. F. (2000). Classroom teaching through inquiry. Journal of professional issues in engineering education and practice, 105-109. 9. Ma, C., Xiao , R., Wei, Y., & Yang, H. H. (2011). An inquiry-based learning approach on a educational technology course. 2011 International symposium on IT in medicine and education (ITME) (pp. 422-424). Cuangzhou: IEEE. 10. Justice, C., Rice, J., Warry, W., Inglis, S., Miller, S., & Sammon, S. (2007). Inquiry in higher education: Reflections and directions on course design and teaching methods. Innovative higher education, 31(4), 201-214. 11. Biswas, G., Leeelawong, K., Schwartz, D., Vye, N., & The Teachable Agents Group at Vanderbilt. (2005). Learning by teaching: A new agent paradigm for educational software. Applied artificial intelligence, 19(3-4), 363-392. 12. Dubinsky, Y., & Hazzan, O. (2005). A framework for teaching sofware development methods. Computer science education, 15(4), 275- 296. 13. Selwyn, N. (2007). The use of computer technology in university teaching and learning: A critical perspective. Journal of computer assisted learning, 23(2), 83-94. 14. Welsh, E., Wanberg, C., Brown, K., & Simmering, M. (2003). E-learning: Emerging uses, empirical results and future directions. International journal of training and development, 7(4), 245-258. Authors: Wan Suhaimizan Wan Zaki, Ricardo Correia, Serhiy Korposh, Barrie R Hayes-Gill, Stephen P Morgan Paper Title: Development of Tubular Cardiovascular Phantom System for Pulse Transit Time Simulation Abstract: This paper presents on the development of a tubular cardiovascular phantom system to simulate pulse transit time (PTT). The PTT defined as the delay time between two pulses in one cardiac cycle has been shown to be promising method for cuffless continuous blood pressure (BP) measurement. However most of the PTT measurement was performed on human subjects, thus giving a difficulty in validating sensor performance due to variability of BP. Therefore, a cardiovascular phantom system was proposed for simulate the PTT measurement. An electronic controlled module was developed to control pump operation for pulse generation. Plastic optical fibre (POF) sensors were used to measure the pulse signal on the flexible tube and the results were compared with an in-line pressure sensor. In this experiment, the delay time between two pulses were calculated offline using Matlab software and correlated with pulse pressure. The result demonstrate that the pulse delay time recorded by both sensors decreased with increase of pulse rate and pulse pressure. These results on the phantom study showed similar pattern to the human model, thus indicating that the system is able to simulate PTT for sensor validation purposes.

Keywords: Fibre optics, Phantom, Pulse Transit Time.

References: 1. Z. Wang, Y. Yang, L. J. Yuan, J. Liu, Y. Y. Duan, and T. S. Cao, “Noninvasive method for measuring local pulse wave velocity by dual pulse wave Doppler: In vitro and in vivo studies,” PLoS One, vol. 10, no. 3, pp. 1–13, 2015. 2. T. J. Akl, M. A. Wilson, M. N. Ericson, and G. L. Coté, “Quantifying tissue mechanical properties using photoplethysmography,” Biomed. Opt. Express, vol. 5, no. 7, pp. 2362, 2014. 3. N. Stuban, M. Niwayama, and H. Santha, “Phantom with pulsatile arteries to investigate the influence of blood vessel depth on pulse oximeter signal strength,” Sensors, vol. 12, no. 1, pp. 895–904, 2012. 4. D. Laqua, S. Pollnow, J. Fischer, S. Ley, and P. Husar, “A phantom with pulsating artificial vessels for non-invasive fetal pulse oximetry,”International Conference of the IEEEEngineering in Medicine and Biology Society (EMBC), 2014, pp. 5631–5634. 51. 5. J. S. Lillie et al., “Pulse Wave Velocity Prediction and Compliance Assessment in Elastic Arterial Segments,” Cardiovasc. Eng. Technol., vol. 6, no. 1, pp. 49–58, 2015. I. Z. Apostolakis, P. Nauleau, C. Papadacci, M. D. McGarry, and E. E. Konofagou, “Feasibility and Validation of 4-D Pulse Wave Imaging in 291-296 Phantoms and In Vivo,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 64, no. 9, pp. 1305–1317, 2017. 6. H. Njoum et al., “Photoplethysmography for an independent measure of pulsatile pressure under controlled flow conditions,” Physiol. Meas., vol. 38, no. 2, pp. 87–100, 2017. 7. K. Rhodea and G. Ennewa, “The measurement of blood flow from dynamic digital x-ray images using a weighted optical flow algorithm: Validation in a moving-vessel flow phantom,” Medical Image Understanding and Analysis, 2001,pp. 4–7. 8. M.-H. Jun, Y. J. Jeon, J.-H. Cho, and Y.-M. Kim, “Pulse wave response characteristics for thickness and hardness of the cover layer in pulse sensors to measure radial artery pulse,” Biomed. Eng. Online, vol. 17, no. 1, p. 118, 2018. 9. N. Stubán and M. Niwayama, “Adjustable fetal phantom for pulse oximetry,” Rev. Sci. Instrum., vol. 80, pp. 78–82, 2009. 10. D. Laqua, S. Ley, P. Husar, and I. Methods, “Development of a Phantom to Modulate the Maternal and Fetal Pulse Curve for Pulse Oximetry Measurements,”" Biomedical Engineering, vol. 57, pp. 803-806, 2012. 11. J. P. Phillips, M. Hickey, and P. A. Kyriacou, “Evaluation of electrical and optical plethysmography sensors for noninvasive monitoring of hemoglobin concentration,” Sensors, vol. 12, no. 2, pp. 1816–1826, 2012. 12. H. Jeong et al., “A Study on Estimat ing Blood Pressure during Body Postural Change based on Pulse Transit Time,” Healthcare Innovation Conference (HIC), 2014, pp. 153–156. 13. M. Amin, Y. Heravi, and M. A. Khalilzadeh, “Designing and Constructing an Optical System to measure Continuous and Cuffless Blood Pressure Using Two Pulse Signals,” Iranian Journal of Medical Physics vol. 10, no. 4, pp. 215–223, 2014. 14. M. Silva Vieira, T. Hussain, and C. Alberto Figueroa, “Patient-Specific Image-Based Computational Modeling in Congenital Heart Disease: A Clinician Perspective,” J. Cardiol. Ther., vol. 2, no. 6, pp. 436–448, 2015. 15. N. Westerhof, J. W. Lankhaar, and B. E. Westerhof, “The arterial windkessel,” Med. Biol. Eng. Comput., vol. 47, no. 2, pp. 131–141, 2009. 16. J.-Q. Engle, K. M.; Mei, T-S.; Wasa, M.; Yu, “Aging,Arterial Stiffness and Hypertension,” Acc. Chem. Res., vol. 45, no. 6, pp. 788–802, 2008. 17. E. Pinto, “Blood pressure and ageing,” Postgrad. Med. J., vol. 83, no. 976, pp. 109–114, 2007. 18. J. Fiala et al., “An implantable optical blood pressure sensor based on pulse transit time,” Biomed. Microdevices, vol. 15, no. 1, pp. 73–81, 2013. 19. T. Wibmer et al., “Pulse transit time and blood pressure during cardiopulmonary exercise tests.,” Physiol. Res., vol. 63, no. 3, pp. 287–296, 2014. 20. K. Murakami and M. Yoshioka, “Pulse Transit Time Variability on a Range of Heart Rates between Resting and Elevated States," Int. Conf. Syst. Man, Cybern. 2015, pp. 1579–1582. 21. R. Wang, Wenyan Jia, Zhi-Hong Mao, R. J. Sclabassi, and Mingui Sun, “Cuff-free Blood Pressure Estimation using Pulse Transit Time and Heart Rate,” 12th Int. Conf. Signal Process., 2014, pp. 115–118. Authors: Hanim Saim, Maheza Irna Mohamad Salim, Khairunadwa Jemon Antitumor Effect of Fever Range Whole Body Hyperthermia with Curcumin in Breast Cancer-induced Paper Title: Mice Abstract: Breast cancer is a complex and heterogeneous disease and also one of the major cancer types among female worldwide. Fever range whole-body hyperthermia and curcumin as a single treatment have been tested

against breast cancer and showed some promising anti-tumor effect. However, their combination as an effective 52. antitumor treatment against breast cancer has never been explored. The effects of combined whole-body fever 297-301 range hyperthermia and curcumin on tumor growth was examined in this study. Mice were inoculated with EMT6 cells subcutaneously and allocated to 4 treatment groups: (i) control (control), (ii) curcumin (50mg/kg bodyweight), (iii) twice fever range whole-body hyperthermia 39.0°C (± 0.5) for 15 minutes, (iv) a combination of curcumin (50mg/kg bodyweight) and twice fever range whole-body hyperthermia 39.0°C (± 0.5) for 15 minutes. Following treatment, mice body weight and tumor volume were measured. The greatest tumor growth inhibition exhibited in combination treatment (68.45%, p<0.05) and showed no general toxicity. As conclusion, the combination treatment can be a potential anti-tumor treatment of breast cancer.

Keywords: breast cancer, curcumin, fever-range whole body hyperthermia (FRWBH).

References: 1. M. Azizah, I. T. Nor Saleha, A. Noor Hashimah, Z. A. Asmah, and W. Mastulu, “Malaysian National Cancer Registry Report 2007-2011, Malaysia Cancer Statistics, Data and Figure,” Natl. Cancer Inst., vol. 16, p. 203, 2016. 2. E. D. Pisano et al., “New England Journal,” pp. 1773–1784, 2005. 3. E. A. Rakha et al., “Tubular carcinoma of the breast: Further evidence to support its excellent prognosis,” J. Clin. Oncol, vol. 28, no. 1, pp. 99–104, 2010. 4. H. Zhou, C. S. Beevers, and S. Huang, “The targets of curcumin,” Curr. Drug Targets, vol. 12, no. 3, pp. 332–47, 2011. 5. A. Goel, A. B. Kunnumakkara, and B. B. Aggarwal, “Curcumin as ‘Curecumin’: From kitchen to clinic,” Biochem. Pharmacol, vol. 75, no. 4, pp. 787–809, 2008. 6. S. Bimonte et al., “Dissecting the Role of Curcumin in Tumour Growth and Angiogenesis in Mouse Model of Human Breast Cancer,” vol. 2015, pp. 16–20, 2015. 7. L. Masuelli et al., “Curcumin induces apoptosis in breast cancer cell lines and delays the growth of mammary tumors in neu transgenic mice,” J. Biol. Regul. Homeost. Agents, vol. 27, no. 1, pp. 105–119, 2013. 8. L. Lv et al., “Enhancing curcumin anticancer efficacy through di-block copolymer micelle encapsulation,” J. Biomed. Nanotechnol, vol. 10, no. 2, pp. 179–193, 2014. 9. E. Bachmeier et al., “The chemopreventive polyphenol curcumin prevents hematogenous breast cancer metastases in immunodeficient mice,” Cell. Physiol. Biochem., vol. 19, no. 1–4, pp. 137–152, 2007. 10. H.-W. Lai et al., “The Potential Utility of Curcumin in the Treatment of HER-2-Overexpressed Breast Cancer: An In Vitro and In Vivo Comparison Study with Herceptin,” Evidence-Based Complement. Altern. Med., vol. 2012, pp. 1–12, 2012. 11. T. J. Somers-Edgar, M. J. Scandlyn, E. C. Stuart, M. J. Le Nedelec, S. P. Valentine, and R. J. Rosengren, “The combination of epigallocatechin gallate and curcumin suppresses ER??-breast cancer cell growth in vitro and in vivo,” Int. J. Cancer, vol. 122, no. 9, pp. 1966–1971, 2008. 12. R. R. Falah, W. H. Talib, and S. J. Shbailat, “Combination of metformin and curcumin targets breast cancer in mice by angiogenesis inhibition, immune system modulation and induction of p53 independent apoptosis,” Ther. Adv. Med. Oncol., vol. 9, no. 4, pp. 235–252, 2017. 13. A.Bettaieb, P. K. Wrzal, and D. A. Averill-bates, “Hyperthermia: Cancer Treatment and Beyond,” Cancer Treat. Innov. Approaches. B. 2, pp. 257–283, 2013. 14. N. R. Datta et al., “Local hyperthermia combined with radiotherapy and-/or chemotherapy: Recent advances and promises for the future,” Cancer Treat. Rev., vol. 41, no. 9, pp. 742–753, 2015. 15. G. Hegyi, G. P. Szigeti, and A. Szász, “Hyperthermia versus oncothermia: Cellular effects in complementary cancer therapy,” Evidence- based Complement. Altern. Med., vol. 2013, 2013. 16. Z. Behrouzkia, Z. Joveini, B. Keshavarzi, N. Eyvazzadeh, and R. Z. Aghdam, “Hyperthermia: How can it be used?,” Oman Med. J., vol. 31, no. 2, pp. 89–97, 2016. 17. M. Mallory, E. Gogineni, G. C. Jones, L. Greer, and C. B. Simone, “Therapeutic hyperthermia: The old, the new, and the upcoming,” Crit. Rev. Oncol. Hematol., vol. 97, pp. 56–64, 2015. 18. J. R. Ostberg, C. Gellin, R. Patel, and E. A. Repasky, “Regulatory potential of fever-range whole body hyperthermia on Langerhans cells and lymphocytes in an antigen-dependent cellular immune response,” J. Immunol., vol. 167, pp. 2666–2670, 2001. 19. R. D. Issels, “Hyperthermia adds to chemotherapy,” Eur. J. Cancer, vol. 44, no. 17, pp. 2546–2554, 2008. 20. W. H. Talib and S. Saleh, “Propionibacterium acnes augments antitumor, anti-angiogenesis and immunomodulatory effects of melatonin on breast cancer implanted in mice,” PLoS One, vol. 10, no. 4, pp. 1–13, 2015. 21. Q. Zhou, X. Wang, X. Liu, H. Zhang, Y. Lu, and S. Su, “Curcumin enhanced antiproliferative effect of mitomycin C in human breast cancer MCF-7 cells in vitro and in vivo,” Acta Pharmacol. Sin, vol. 32, no. 11, pp. 1402–1410, 2011. 22. Z.-D. Lv et al., “Curcumin induces apoptosis in breast cancer cells and inhibits tumor growth in vitro and in vivo,” Int. J. Clin. Exp. Pathol., vol. 7, no. 6, pp. 2818–24, 2014. 23. S. Rockwell et al., “Preclinical evaluation of Laromustine for use in combination with radiation therapy in the treatment of solid tumors,” Int. J. Radiat. Biol., vol. 88, no. 3, pp. 277–285, 2012. 24. R. M. Gorczynski et al., “Breast cancer cell CD200 expression regulates immune response to EMT6 tumor cells in mice,” Breast Cancer Res. Treat., vol. 123, no. 2, pp. 405–415, 2010. 25. R. W. Rowe et al., “Fever-range whole body thermotherapy combined with oxaliplatin: a curative regimen in a pre-clinical breast cancer model,” Int. J. Hyperthermia, vol. 26, no. 6, pp. 565–76, 2010. 26. K. Sumiyoshi, F. R. Strebel, R. W. Rowe, and J. M. C. Bull, “The effect of whole-body hyperthermia combined with ‘metronomic’ chemotherapy on rat mammary adenocarcinoma metastases 3150,” Int.J.Hyperthermia, vol. Internatio, pp. 2–118, 2003. 27. J. M. C. Bull, F. R. Strebel, G. N. Jenkins, W. Deng, and R. W. Rowe, “The importance of schedule in whole body thermochemotherapy.,” Int. J. Hyperthermia, vol. 24, no. 2, pp. 171–81, 2008. 28. Farhangi et al., “Protective effects of dendrosomal curcumin on an animal metastatic breast tumor,” Eur. J. Pharmacol., 2015. 29. S. Shiri et al., “Dendrosomal curcumin suppresses metastatic breast cancer in mice by changing M1/M2 macrophage balance in the tumor microenvironment,” Asian Pacific J. Cancer Prev., vol. 16, no. 9, pp. 3917–3922, 2015. 30. H. Lee et al., “Response of breast cancer cells and cancer stem cells to metformin and hyperthermia alone or combined,” PLoS One, vol. 9, no. 2, p. e87979, 2014. 31. S. Kossatz et al., “Efficient treatment of breast cancer xenografts with multifunctionalized iron oxide nanoparticles combining magnetic hyperthermia and anti-cancer drug delivery.” Breast Cancer Res., vol. 17, p. 66, 2015. 32. H. I. Robins, “Role of Whole-Body Hyperthermia in the Treatment of Neoplastic Disease : Its Current Status and Future Prospects Role of Whole-Body Hyperthermia in the Treatment of Neoplastia Disease : Its Current Status and Future Prospects1,” Cancer Res., vol. 44, no. April 1982, pp. 4878–4883, 1984. 33. M. Hurwitz and P. Stauffer, “Hyperthermia, radiation and chemotherapy: The role of heat in multidisciplinary cancer care,” Semin. Oncol, vol. 41, no. 6, pp. 714–729, 2014. Authors: Rosmayati Mohemad, Nur FadilaAkma Mamat, Noor Maizura Mohamad Noor, ArifahChe Alhadi

Paper Title: Development of a Prototype for Early Identification Children with Specific Learning Disabilities 53. Abstract: Early identification of children who may at risk of having difficulties in learning is crucial in order to 302-309 assist them in overcoming barriers to learn. The adoption of computer related information technology has been greatly explored to support specific learning disabilities children. However, current computer-based support systems are lacking to guide parents and teachers with information about the children with the specific learning disabilities. The early awareness of learning disabilities problems will help the parents and teachers to take suitable action for their children’s academic and social development. Thus in this paper, a computer-based prototype for early identification children with specific learning disabilities using ontology (e-SLD) is developed and evaluated in terms of its usability based on Unified Theory of Acceptance and Use of Technology (UTAUT) factors. The research methodology consists of two main phases including software development life cycle and usability testing. The findings shows positive feedbacks of the prototype in terms of its usability, in which the average of 70% of the respondents agreed with the system’s performance expectancy, 72% of the respondents agreed with the system in terms of its effort expectancy, 68% of the respondents agreed with the system in terms of its social influence and around 72% of the respondents agreed that e-SLD is a tool to screening and recommending suitable activity of specific learning disabilities children.

Keywords: Computer-based; Prototype Development; Screening; Specific Learning Disabilities.

References: 1. B. Saleena and S. K. Srivatsa, “Using concept similarity in cross ontology for adaptive e-Learning systems,” J. King Saud Univ. - Comput. Inf. Sci., 2015. 2. L. Jiang, C. Zhao, and H. Wei, “The development of ontology-based course for computer networks,” in Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008, 2008. 3. Y. a Alsultanny, “e-Learning System Overview based on Semantic Web,” System, vol. 4, no. 2, pp. 111–118, 2006. 4. B. C. Trolley, H. S. Haas, and D. C. Patti, “Chapter 2: Special Education Terminology and Disability Categories,” in The School Counsellor’s Guide to Special Education, 2009. 5. V. V Mogasale, V. D. Patil, N. M. Patil, and V. Mogasale, “Prevalence of specific learning disabilities among primary school children in a south Indian city,” Indian J. Pediatr., 2012. 6. S. Bandla, G. D. Mandadi, and A. Bhogaraju, “Specific Learning Disabilities and Psychiatric Comorbidities in School Children in South India,” Indian J. Psychol. Med., vol. 39, no. 1, pp. 76–82, 2017. 7. H. Habib, “Awareness about Special Education in Hyderabad,” vol. 4, no. 5, pp. 1296–1300, 2015. 8. B. H. Lim and K. H. Chia, “From Teachers and Family To Community : What Support Is Available for Our Children With,” pp. 46–58, 2017. 9. K. Kakabaraee, A. A. Arjmandnia, and G. A. Afrooz, “The Study of Awareness and Capability of Primary School Teachers in Identifying Students with Learning Disability in the Province of Kermanshah,” Procedia - Soc. Behav. Sci., vol. 46, pp. 2615–2619, 2012. 10. Garry, H. Jean, and M. Atkinson, Controversial Issues in Special Education, Second Edi. Cambridge: David Fulton Publisher, 2013. 11. J. Hernández, G. Mousalli, and F. Rivas, “Expert System for the Diagnosis of Learning Difficulties in Children’s Basic Education,” in The 8th WSEAS Int. Conf. on Applied Computer and Applied Computational Science (ACACOS ’09), 2009, pp. 67–71. 12. Kementerian Pendidikan Malaysia, “Data Pendidikan Khas,” p. 34, 2016. 13. E. G. Willcutt, R. Boada, M. W. Riddle, N. Chhabildas, J. C. DeFries, and B. F. Pennington, “Colorado Learning Difficulties Questionnaire:Validation of a parent-report screening measure,” Psychol. Assess., vol. 23, no. 3, pp. 778–791, 2011. 14. C. Cortiles and S. H. Horowitz, “The state of learning disabilities: Facts, trends and emerging Issues,” Natl. Cent. Learn. Disabil., vol. 3, pp. 1–52, 2014. 15. S. Fortes, C. S. Paula, M. C. Oliveira, I. A. Bordin, J. de Jesus Mari, and L. A. Rohde, “A cross-sectional study to assess the prevalence of DSM-5 specific learning disorders in representative school samples from the second to sixth grade in Brazil,” Eur. Child Adolesc. Psychiatry, vol. 25, no. 2, pp. 195–207, 2016. 16. H. M. Ekhsan et al., “The implementation of interactive multimedia in early screening of dyslexia,” in ICIMTR 2012 - 2012 International Conference on Innovation, Management and Technology Research, 2012, pp. 566–569. 17. W. M. W. Isa, S. N. W. Shamsuddin, N. S. F. N. Mat, M. Makhtar, F. S. Mohamad, and R. Husain, “Heuristic Evaluation Of i-Dyslex Tool for Dyslexia Screening,” J. Telecommun. Electron. Comput. Eng., vol. 9, no. 2–4, pp. 15–19, 2017. 18. S. N. W. Shamsuddin, N. S. F. N. Mat, M. Makhtar, and W. M. W. Isa, “Classification Techniques for Early Detection of Dyslexia Using Computer-Based Screening Test,” World Appl. Sci. J., vol. 35, no. 10, pp. 2108–2112, 2017. 19. E. Blackwell, N. Durkee, P. Flynn, and S. B. Blackley, “The Mississippi Dyslexia Screener: An Inter-Scorer Reliability Study,” in American Speech-Language- Hearing Association Annual Convention, 2014, p. 1. 20. N. Che Pee, P. H. Leong, M. A. Othman, H. A. Sulaiman, M. F. I. Othman, and Y. A. Rahim, “DycScreen—Cross-Platform Dyslexia Screening Test for Malaysian Children Through Hybrid Applications BT - Advanced Computer and Communication Engineering Technology,” 2016, pp. 1083–1091. 21. L. Rello, K. Williams, A. Ali, N. C. White, and J. P. Bigham, “Dytective: Towards Detecting Dyslexia Across Languages Using an Online Game,” in Proceedings of the 13th Web for All Conference, 2016, p. 29:1--29:4. 22. B. Carbol, “Research Brief: Use of The Dyslexia Quest App as a Screening Tool,” 2014. 23. M. Costa et al., “A computational approach for screening dyslexia,” in Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems, 2013, no. Figure 1, pp. 565–566. 24. N. C. Chea, E. S. L. Ming, P. I. Khalid, and Y. C. Fai, “Algorithm for Identifying Writing Stroke and Direction,” 2012 Fourth Int. Conf. Comput. Intell. Model. Simul., pp. 94–98, Sep. 2012. 25. J. J. Danna, V. Paz-Villagran, J.-L. Velay, V. Paz-Villagrán, and J.-L. Velay, “Signal-to-Noise velocity peaks difference: A new method for evaluating the handwriting movement fluency in children with dysgraphia,” Res. Dev. Disabil., vol. 34, no. 12, pp. 4375–4384, Dec. 2013. 26. B. Cangoz, A. Altun, S. Olkun, and F. Kacar, “Computer Based Screening Dyscalculia: Cognitive and Neuropsychological Correlates,” Turkish Online J. Educ. Technol. - TOJET, vol. 12, no. 3, pp. 33–38, 2013. 27. R. Mohemad, N. F. A. Mamat, N. M. M. Noor, and A. C. Alhadi, “ICT as a Tool for Screening Student with Specific Learning Disabilities,” in 10th International Conference on Language, Education, and Innovation, 2018, pp. 113–123. 28. S. Klingler et al., “Stealth Assessment in ITS - A Study for Developmental Dyscalculia BT - Intelligent Tutoring Systems,” 2016, pp. 79– 89. 29. N. C. Zygouris et al., “Learning Difficulties Screening Web Application,” in Proceedings of International Conference on Interactive Collaborative Learning (ICL), 2015, no. September, pp. 650–654. 30. T. C. P. Kularathna, L. C. Kuruppuarachchi, W. M. S. S. Wijekoon, W. A. M. Kulamini, R. N. Samarasingha, and D. Tharanga, “Yalu: Computer Game Based Solution to Screen Learning Disabilities in Kids,” in 4th National Conference on Technology & Management (NCTM), 2014, pp. 1–6. 31. 31. M. Haziq, L. Abdullah, S. Hisham, and S. Parumo, “MyLexics : An Assistive Courseware for Dyslexic Children to Learn Basic Malay Language MyLexics : Courseware Modules,” no. 95, pp. 3–9, 2009. 32. E. M. M. Mahidin, “Preliminary Courseware Conceptual Model for Dyslexic Children,” Int. J. Innov. Educ. Res., vol. 2, no. 08, pp. 54–60, 2014. 33. Viswanath Venkatesh, Michael G. Morris, Gordon B. Davis, and Fred D. Davis, “User acceptance of information technology:TOWARD A UNIFIED VIEW1,” MIS Q. (MIS QUART), vol. 27, no. 3, pp. 425–478, 2003. Authors: Obaid Aldarmaki, Narimah Kasim Paper Title: Leadership Style and Turnover Intention: The Moderating Role of Supervisor Trust Abstract: Turnover Intention is a big issue for organizations because it costs huge capital investment in human resources. In United Arab Emirates (UAE), the turnover is higher than all other gulf countries and above the world average. Most of previous studies focused on the private sector and few examined the turnover in public sector. The purpose of this study is to examine the effect of leadership style and trust in supervisor on the turnover intention. Data was collected from 101 respondents from public sector in UAE. The data will be analyzed using Smart Partial Least Square (PLS). The findings showed that leadership styles as well as transformational leadership and transactional leadership have negative effects on turnover intention. In addition, trust in supervisor has direct negative effect on turnover intention. Decision makers are recommended to implement the transformational leadership and to establish a trusting relationship with employees.

Keywords: Leadership, Public Sector, Turnover Intention, Transformational leadership, Trust

References: 1. Kim, L. Tam, J. N. Kim, and Y. Rhee, “Determinants of employee turnover intention: Understanding the roles of organizational justice, supervisory justice, authoritarian organizational culture and organization-employee relationship quality. 308-328.,” Corp. Commun. An Int. J., vol. 22, no. 3, pp. 308–328, 2017. 2. M. Alhashmi, F. Jabeen, A. D. Al-Nasser, and A. Papastathopoulos, “The antecedents of employee turnover intentions in the police force in the United Arab Emirates: A conceptual framework,” Int. J. Bus. Soc., vol. 18, no. S3, pp. 449–462, 2017. 3. H. J. (Annette) Kang, J. Busser, and H.-M. Choi, “Service climate: how does it affect turnover intention?,” Int. J. Contemp. Hosp. Manag., vol. 30, no. 1, pp. 76–94, 2018. 4. Kim, J. Im, and J. Hwang, “The effects of mentoring on role stress, job attitude, and turnover intention in the hotel industry,” Int. J. Hosp. Manag., vol. 48, pp. 68–82, 2015. 5. R. W. Griffeth and P. W. Hom, “A comparison of different conceptualizations of perceived alternatives in turnover research,” J. Organ. Behav., vol. 9, no. 2, pp. 103–111, 1988. 6. S. Alaarj, Z. A. Mohamed, and U. S. A. Bustamam, “Do Knowledge Management Capabilities Reduce the Negative effect of Environment Uncertainties on Organizational Performance? A Study of Public Listed Companies in Malaysia,” Int. J. Econ. Res., vol. 14, no. 15, pp. 443–456, 2017. 7. W. Rahman and Z. Nas, “Employee development and turnover intention: theory validation,” Eur. J. Train. Dev., vol. 37, no. 6, pp. 564– 579, 2013. 8. C. Khalife, “Revolving Doors: An Analysis Of The UAE’s High Staff Turnover Rate,” Entrepreneur, no. 2, Abu Dhabi, pp. 223–233, 01- 54. May-2016. 9. S. Biswas, “Relationship between psychological climate and turnover intentions and its impact on organisational effectiveness: A study in Indian organisations,” IIMB Manag. Rev., vol. 22, no. 3, pp. 102–110, 2010. 310-315 10. M. Ohana and M. Meyer, “Should I stay or should I go now? Investigating the intention to quit of the permanent staff in social enterprises,” Eur. Manag. J., vol. 28, no. 6, pp. 441–454, 2010. 11. J. Te Yang, “Antecedents and consequences of job satisfaction in the hotel industry,” Int. J. Hosp. Manag., vol. 29, no. 4, pp. 609–619, 2010. 12. H. A. Dardar, A. Jusoh, and A. Rasli, “The Impact of Job Training, job satisfaction and Alternative Job Opportunities on Job Turnover in Libyan Oil Companies,” Procedia - Soc. Behav. Sci., vol. 40, pp. 389–394, 2012. 13. D. Kara, M. Uysal, M. J. Sirgy, and G. Lee, “The effects of leadership style on employee well-being in hospitality,” Int. J. Hosp. Manag., vol. 34, no. 1, pp. 9–18, 2013. 14. D. A. Yousef, “Organizational Commitment, Job Satisfaction and Attitudes toward Organizational Change: A Study in the Local Government,” Int. J. Public Adm., vol. 40, no. 1, pp. 77–88, 2017. 15. Park and H. G. Rainey, “Leadership and public service motivation in U.S. federal agencies,” Int. Public Manag. J., vol. 11, no. 1, pp. 109– 142, 2008. 16. A. Puni, C. B. Agyemang, and E. S. Asamoah, “Leadership Styles, Employee Turnover Intentions and Counterproductive Work Behaviours,” Int. J. Innov. Res. Dev., vol. 5, no. 1, pp. 1–7, 2016. 17. [17] S. Bhargavi and I. Shehhi, “Leadership Styles and Organizational Performance,” Strateg. Manag. Q., vol. 4, no. 1, pp. 87–117, 2016. 18. G. A. Sulamuthu and H. M. Yuso, “Leadership Style and Employee Turnover Intention,” in Proceedings of the International Conference on Industrial Engineering and Operations Management, 2018, no. 2001, pp. 2298–2306. 19. L. Wang, R. Law, K. Hung, and B. D. Guillet, “Consumer trust in tourism and hospitality: A review of the literature,” J. Hosp. Tour. Manag., vol. 21, pp. 1–9, 2014. 20. S. Alaarj, Z. Abidin-Mohamed, and U. S. B. A. Bustamam, “Mediating Role of Trust on the Effects of Knowledge Management Capabilities on Organizational Performance,” Procedia - Soc. Behav. Sci., vol. 235, pp. 729–738, Nov. 2016. 21. R. Zeffane and B. S. J. Melhem, “Trust , job satisfaction , perceived organizational performance and turnover intention : a public-private sector comparison in the United Arab Emirates,” Empl. relations Int. J., vol. 39, no. 7, pp. 1148–1167, 2017. 22. S. Alaarj, Z. A. Mohamed, and U. S. A. Bustamam, “The Effect of Knowledge Management Capabilities on Performance of Companies : A Study of Service Sector,” Int. J. Econ. Res., vol. 14, no. 15, pp. 457–470, 2017. 23. S. Alaarj, A. M. Zainal, and U. Bustamam, “The Effect of Knowledge Management Capabilities on the Performance of Malaysian Large- Scale Organizations: An Empirical Study,” Adv. Glob. Bus. Res., vol. 12, no. 1, pp. 1024–1038, 2015. 24. J. Al-Kuttab, “How tireless Abu Dhabi Police keeps city safe,” Khaleej Times, Abu Dhabi, 24-Jul-2017. 25. C. Maceda, “Staff retention is biggest challenge for companies in UAE: study,” Gulf News, Abu Dhabi, 23-Aug-2017. 26. S. Amdan, R. A. Rahman, S. A. M. Shahid, S. A. Bakar, M. M. Khir, and N. A. R. Demong, “The Role of Extrinsic Motivation on the Relationship between Office Environment and Organisational Commitment,” Procedia Econ. Financ., vol. 37, no. 16, pp. 164–169, 2016. 27. .Alaaraj, Z. A. Mohamed, and U. S. Ahmad Bustamam, “External Growth Strategies and Organizational Performance in Emerging Markets: The Mediating Role of Inter-Organizational Trust,” Rev. Int. Bus. Strateg., vol. 28, no. 2, pp. 206–222, 2018. 28. M. L. Zorn, P. M. Norman, F. C. Butler, and M. S. Bhussar, “Cure or curse : Does downsizing increase the likelihood of bankruptcy ?,” J. Bus. Res., vol. 76, pp. 24–33, 2017. 29. E. A. Brown, N. J. Thomas, and R. H. Bosselman, “Are they leaving or staying: A qualitative analysis of turnover issues for Generation Y hospitality employees with a hospitality education,” Int. J. Hosp. Manag., vol. 46, pp. 130–137, 2015. 30. A.S. Harhara, S. K. Singh, and M. Hussain, “Correlates of employee turnover intentions in oil and gas industry in the UAE,” Int. J. Organ. Anal., vol. 23, no. 3, pp. 493–504, 2015. 31. Machado Dias Ramalho Luz, S. Luiz de Paula, and L. Maria Barbosa de Oliveira, “Organizational commitment, job satisfaction and their possible influences on intent to turnover,” Rev. Gestão, vol. 25, no. 1, pp. 84–101, 2018. 32. M. Nair, “Staff turnover in the UAE higher than global average: report,” Gulf News, Abu Dhabi, 17-Oct-2017. 33. H. M. Abu Elanain, “Testing the direct and indirect relationship between organizational justice and work outcomes in a non‐Western context of the UAE,” J. Manag. Dev., vol. 29, no. 1, pp. 5–27, 2010. 34. A. M. Suliman and H. Al Obaidli, “Organizational climate and turnover in Islamic banking in the UAE,” Int. J. Islam. Middle East. Financ. Manag., vol. 4, no. 4, pp. 308–324, 2011 35. S. Cherian, A. J. Alkhatib, and M. Aggarwal, “Relationship between organizational commitment and job satisfaction of nurses in Dubai hospital,” J. Adv. Soc. Sci. Humanit., vol. 4, no. 1, pp. 36373–36400, 2018. 36. M. Behery, S. Abdallah, M. Parakandi, and S. Kukunuru, “Psychological contracts and intention to leave with mediation effect of organizational commitment and employee satisfaction at times of recession,” Rev. Int. Bus. Strateg., vol. 26, no. 2, pp. 184–203, 2016. 37. J. M. Burns, “Leadership,” in Leadership, 1978, pp. 66–75. 38. A. Zdaniuk and D. R. Bobocel, “The role of idealized influence leadership in promoting workplace forgiveness,” Leadersh. Q., vol. 26, no. 5, pp. 863–877, 2015. 39. Bass, “Leadership and performance beyond expectation,” New York, NY Free Press, 1985. 40. P. G. Northouse, “Leadership : theory and practice,” in Leadership theory and practice, vol. 24, 2012, p. 5. 41. A. H. Eagly, M. C. Johannesen-Schmidt, and M. L. Van Engen, “Transformational, Transactional, and Laissez-Faire Leadership Styles: A Meta-Analysis Comparing Women and Men,” Psychological Bulletin, vol. 129, no. 4. pp. 569–591, 2003. 42. A. W. Head and J. Alford, “Wicked Problems: Implications for Public Policy and Management,” Adm. Soc., vol. 47, no. 6, pp. 711–739, 2015. 43. A. Mathieu and P. Babiak, “Tell me who you are, I’ll tell you how you lead: Beyond the Full-Range leadership model, the role of corporate psychopathy on employee attitudes,” Pers. Individ. Dif., vol. 87, pp. 8–12, 2015. 44. M. A. Gyensare, L. E. Kumedzro, A. Sanda, and N. Boso., “Linking transformational leadership to turnover intention in the public sector: The influences of engagement, affective commitment and psychological climate,” African J. Econ. Manag. Stud., vol. 8, no. 3, pp. 314– 337, 2017. 45. H. H. M. Tse, X. Huang, and W. Lam, “Why does transformational leadership matter for employee turnover? A multi-foci social exchange perspective,” Leadersh. Q., vol. 24, no. 5, pp. 763–776, 2013. 46. M. A. Gyensare, O. Anku-Tsede, M.-A. Sanda, and C. A. Okpoti, “Transformational leadership and employee turnover intention: The mediating role of affective commitment,” World J. Entrep. Manag. Sustain. Dev., vol. 12, no. 3, pp. 243–266, 2016. 47. R. Van Wijk et al., “Social Exchange Theory,” Int. J. Hum. Resour. Manag., 2014. 48. J. Dyer and W. Chu, “The determinants of trust in supplier-automaker relations in the US, Japan, and Korea: A retrospective,” J. Int. Bus. Stud., 2011. 49. H. Adobor, “Optimal trust? Uncertainty as a determinant and limit to trust in inter-firm alliances,” Leadersh. Organ. Dev. J., vol. 27, no. 7, pp. 537–553, 2006. 50. H. A. Tlaiss and A. M. Elamin, “Exploring organizational trust and organizational justice among junior and middle managers in Saudi Arabia: Trust in immediate supervisor as a mediator,” J. Manag. Dev., vol. 34, no. 9, pp. 1042–1060, 2015. 51. C. Cheng, T. Bartram, L. Karimi, and S. Leggat, “Transformational leadership and social identity as predictors of team climate, perceived quality of care, burnout and turnover intention among nurses,” Pers. Rev., vol. 45, no. 6, pp. 1200–1216, 2016. 52. P. Shockley-Zalabak, K. Ellis, and G. Winograd, “Organizational trust: What it means, why it matters,” Organ. Dev. J., vol. 18, no. 4, pp. 35–48, 2000. 53. S. van den Heuvel, R. S. Charissa Freese, and M. van Assen., “How change information influences attitudes toward change and turnover intention: the role of engagement, psychological contract fulfillment, and trust,” Leadersh. Organ. Dev. J., vol. 38, no. 3, pp. 398–418, 2017. 54. A. Erturk, L. Vurgun, A. Ert??rk, and L. Vurgun, “Retention of IT professionals: Examining the influence of empowerment, social exchange, and trust,” J. Bus. Res., vol. 68, no. 1, pp. 34–46, 2015. 55. R. V Krejcie and D. W. Morgan, “Determining Sample Size For Research Activities, Educational And Psychological Measurement,” Educ. Psychol. Meas., no. 30, pp. 607–610, 1970. 56. A. Tajasom and Z. Ariffin, “Principals’ leadership style and school climate: teachers’ perspectives from Malaysia,” Int. J. Leadersh. Public Serv., vol. 7, no. 4, pp. 314–333, 2013. 57. R. C. Nyhan and H. A. Marlowe, “Development and psychometric properties of the organizational trust inventory.,” Eval. Rev., vol. 21, no. 5, pp. 614–635, 1997. 58. P. B. Lowry and J. Gaskin, “Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: When to choose it and how to use it,” IEEE Trans. Prof. Commun., vol. 57, no. 2, pp. 123–146, 2014. 59. Hair, T. M. Hult, C. M. Ringle, and M. Sarstedt, A primer on partial least squares structural equation modeling, 2nd ed. Thousand Oakes, 2017. Authors: Nurul Syima’ Mat Nah, Sarina Ismail ,T.Ramayah, Zuha Rusafila Abu Hassan, Jalal Rajeh Hanaysha Paper Title: Modelling the Use of Grabcar Ridesharing Services Abstract:Over the years Grabcar has become the most popular ridesharing services transportation technology- based application e-hailing that match passenger expectation on transportation services. Grabcar has managed to enter Malaysia’s market because, during that time, the Malaysia taxi industry was experiencing severe issues related to safety, intimidation of passengers and also poor services. In order to understand the passengers’ intentions toward these services, the Theory of Planned Behaviour Model (TPB) has been incorporated into this study to understand more about how passengers’ intentions can be shaped. Using a purposive sampling method, a 55. total of 227 respondents were involved in this study. Smart-PLS (v 3.2.8) was used in order to analyse the 316-323 relationship between three constructs (attitude, social influence and safety) and passenger intention to use Grabcar. Overall, the result showed that all of the stated factors have a positive relationship with intention.

Keywords:TPB, Intention, Attitude, Safety, Social influence, ridesharing services

References: 1. Aaronson, E. (2004). The social animal. Worth Publishers: New York. 2. Agatz, N., Erera, A., Savelsbergh, M., & Wang, X. (2012). Optimization for dynamic ride-sharing: A review. European Journal of Operational Research, 223(2), 295–303. https://doi.org/10.1016/j.ejor.2012.05.028 3. Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T 4. AL Ziadat, M. T. (2015). Applications of Planned Behavior Theory (TPB) in Jordanian Tourism. International Journal of Marketing Studies, 7(3), 95–106. https://doi.org/10.5539/ijms.v7n3p95 5. Anderson, D. N. (2014). “Not just a taxi”? For-profit ridesharing, driver strategies, and VMT. Transportation, 41(5), 1099–1117. https://doi.org/10.1007/s11116-014-9531-8 6. Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411 7. Belk, R. (2014). You are what you can access: Sharing and collaborative consumption online. Journal of Business Research, 67(8), 1595– 1600. https://doi.org/10.1016/j.jbusres.2013.10.001 8. Bickart, B., & Schindler, R. M. (2001). Internet forums as influential sources of consumer information. Journal of Interactive Marketing, 15(3), 31-40. https://doi.org/10.1002/dir.1014 9. Chaniotakis, I.E., Lymperopoulos, C., and Soureli, M., (2010). Consumers’ intentions of 10. buying own-label premium food products. Journal of product and Brand 11. Management. Vol 19(5). pp.327-334. 12. Chaniotakis, I. E., Lymperopoulos, C., & Soureli, M., (2010). Consumers’ intentions of buying own-label premium food products. Journal of Product and Brand Management. 19(5). 327-334. 13. Chaudhry, B., Yasar, A. U. H., El-Amine, S., & Shakshuki, E. (2018). Passenger Safety in Ride-Sharing Services. Procedia Computer Science, 130, 1044–1050. https://doi.org/10.1016/j.procs.2018.04.146 14. Chen, Z., Liu, X. C., & Wei, R. (2019). Agent-based approach to analyzing the effects of dynamic ridesharing in a multimodal network. Computers, Environment and Urban Systems, 74(June 2018), 126–135. https://doi.org/10.1016/j.compenvurbsys.2018.10.004 15. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Statistical Power Analysis for the Behavioral Sciences. https://doi.org/10.1234/12345678 16. Donald, I. J., Cooper, S. R., & Conchie, S. M. (2014). An extended theory of planned behaviour model of the psychological factors affecting commuters’ transport mode use. Journal of Environmental Psychology, 40, 39–48. https://doi.org/10.1016/j.jenvp.2014.03.003 17. Dong, Y., Wang, S., Li, L., & Zhang, Z. (2018). An empirical study on travel patterns of internet based ride-sharing. Transportation Research Part C: Emerging Technologies, 86(November 2017), 1–22. https://doi.org/10.1016/j.trc.2017.10.022 18. Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/BF03193146 19. Felder, R. M., & Brent, R. (2005). Understanding Student Differences. Journal of Engineering Education, 94(1), 57–72. https://doi.org/10.1002/j.2168-9830.2005.tb00829.x 20. Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101–107. https://doi.org/10.1093/biomet/61.1.101 21. Glöss, M., Mcgregor, M., & Brown, B. (2016). Designing for Labour : Uber and the On-Demand Mobile Workforce. 22. Gracia, A., & De Magistris, T. (2008). The demand for organic foods in the South of Italy: A discrete choice model. Food Policy, 33(5), 386-396. 23. Guo, Y., Xin, F., & Li, X. (2019). The market impacts of sharing economy entrants: evidence from USA and China. Electronic Commerce Research, (0123456789). https://doi.org/10.1007/s10660-018-09328-1 24. Hair, J. F., Babin, B. J., & Krey, N. (2017). Covariance-Based Structural Equation Modeling in the Journal of Advertising: Review and Recommendations. Journal of Advertising, 46(1), 163–177. https://doi.org/10.1080/00913367.2017.1281777 25. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares- structural equation modeling (PLS- SEM). 26. Hair, J. F. J., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer On Partial Leaset Squares Strucural Equation Modeling (PLS- SEM). Thousand Oaks: SAGE Publications Inc. 27. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/ebr-11-2018-0203 28. Hair, J. F., Sarstedt, M., & Ringle, C. M. (2019). Rethinking some of the rethinking of partial least squares. European Journal of Marketing, 1–19. https://doi.org/10.1108/EJM-10-2018-0665 29. Hamenda, A. (2018). An integrated model of service quality, price fairness, ethical practice and customer perceived values for customer satisfaction of sharing economy platform. International Journal of Business and Society, 19(3), 709–724. 30. Hawapi, M. W., Sulaiman, Z., Abdul Kohar, U. H., & Talib, N. A. (2017). Effects of Perceived Risks, Reputation and Electronic Word of Mouth (E-WOM) on Collaborative Consumption of Uber Car Sharing Service. IOP Conference Series: Materials Science and Engineering, 215(1). https://doi.org/10.1088/1757-899X/215/1/012019 31. Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8 32. Kanchanapibul, M., Lacka, E., Wang, X., & Chan, H. K. (2014). An empirical investigation of green purchase behaviour among the young generation. Journal of Cleaner Production, 66, 528–536. https://doi.org/10.1016/j.jclepro.2013.10.062 33. Kline, R. B. (2011). Principles and practice of structural equation modeling. Structural Equation Modeling (Vol. 156). https://doi.org/10.1038/156278a0 34. Li, D., Liu, G., Jia, F., & Sun, H. (2019). Sharing economy–based service triads: Towards an integrated framework and a research agenda. Journal of Cleaner Production, 218, 1031–1044. https://doi.org/10.1016/j.jclepro.2019.02.019 35. Lin, Mei; Dula, C. (2015). Grap Taxi: Navigating New Frontiers, Vol.3/Asia(August 2013), 2013–2015. 36. Lin, M., & Dula, C. W. (2016). Case in Point Grab Taxi :, (May 2014), 40–43. 37. Ma, M., Yan, X., Huang, H., & Abdel-aty, M. (2010). Occupational Drivers, 72–79. https://doi.org/10.3141/2145-09 38. Mirabi, V., Akbariyeh, H., & Tahmasebifard, H. (2015). A study of factors affecting on customers purchase intention. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 2(1). 39. New, O. (2017). Ride Sharing Services. 40. Organisation for Economic Co-operation and Development (OECD). (2004). Student Learning: Attitudes , Engagement and Strategies. Learning for Tomorrow’s World – First Results from PISA 2003, 109–158. https://doi.org/10.1787/9789264006416-4-en 41. Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021- 9010.88.5.879 42. Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research:Problem and prospects. Journal of Management. 43. Retamal, M. (2019). Collaborative consumption practices in Southeast Asian cities: Prospects for growth and sustainability. Journal of Cleaner Production, 222, 143–152. https://doi.org/10.1016/j.jclepro.2019.02.267 44. Ringle, Christian M., Wende, Sven, Becker, J.-M. (2015). SmartPLS 3. Retrieved from http://www.smartpls.com 45. Skok, W., & Baker, S. (2018). Evaluating The Impact of Uber on London’s Taxi Service: A Critical Review of the Literature. Knowledge and Process Management, (April), 1–7. https://doi.org/10.1002/kpm.1573 46. Sthapit, A., Laohakosol, W., & Sharma, A. (2018). Impact of product-related and social factors on purchase intention of smart-phone buyers in Nepal. The Sankalpa: International Journal of Management Decisions, 4(1), 115-138. 47. Stone, M. (1974). Cross-Validatory Choice and Assessment of Statistical Predictions. Journal of the Royal Statistical Society, 36(2), 111– 147. https://doi.org/10.2307/2984809 48. Svangren, M. K., Skov, M. B., & Kjeldskov, J. (2018). Passenger Trip Planning using Ride-Sharing Services, 1–12. 49. Swaim, J. A., Maloni, M. J., Napshin, S. A., & Henley, A. B. (2014). Influences on Student Intention and Behavior Toward Environmental Sustainability. Journal of Business Ethics, 124(3), 465–484. https://doi.org/10.1007/s10551-013-1883-z 50. Tan, F. T. C., Tan, B., Lu, A., & Land, L. (2017). Delivering disruption in an emergent access economy: A case study of an E-hailing platform. Communications of the Association for Information Systems, 41(1), 497–516. https://doi.org/10.17705/1CAIS.04122 51. Tarkiainen, A., & Sundqvist, S. (2005). Subjective norms, attitudes and intentions of Finnish consumers in buying organic food. British Food Journal, 107(11), 808-822. 52. Van, H. T., Choocharukul, K., & Fujii, S. (2014). The effect of attitudes toward cars and public transportation on behavioral intention in commuting mode choice—A comparison across six Asian countries. Transportation Research Part A: Policy and Practice, 69, 36–44. https://doi.org/10.1016/j.tra.2014.08.008 53. Vaus, D. De, & Wise, S. (1996). Parents’ Concerns for the Safety of their Children. Australian Institute of Family Studies, 1(43). https://doi.org/10.1017/CBO9781107415324.004 54. Widdows, D., Lucas, J., Tang, M., & Wu, W. (2017). GrabShare: The construction of a realtime ridesharing service. 2017 2nd IEEE International Conference on Intelligent Transportation Engineering, ICITE 2017, 138–143. https://doi.org/10.1109/ICITE.2017.8056896 55. Yahya, M. A.-D., & Zaidatun, T. (2015). Facebook and education: Students’ privacy concerns. International Education Studies, 8(13), 22– 26. https://doi.org/10.5539/ies.v8n13p22 56. Yeap, J. A. L., Yapp, E. H. T., & Balakrishna, C. (2017). User Acceptance of On-Demand Services, 1–6. 57. Zhou, T., & Li, H. (2014). Understanding mobile SNS continuance usage in China from the perspectives of social influence and privacy concern. Computers in Human Behavior, 37, 283–289. https://doi.org/10.1016/j.chb.2014.05.008 Authors: Zhang Lanlan, Aidi Ahmi, Oluwatoyin Muse Johnson Popoola Perceived Ease of Use, Perceived Usefulness and the Usage of Computerized Accounting Systems: A Paper Title: Performance of Micro and Small Enterprises (MSEs) in China Abstract: Computerized Accounting Systems (CAS) has been used as a tool to help the accountants and the business owner to record daily business transactions and produce accounting reports in no time. The adoption of CAS among the users, however, varies especially in term of the factors that influence the usage and the level of the adoption. This paper aims, among other factors, to investigate the relationship between the model of technology acceptance (TAM) and the use of CAS. The main purpose is to examine the connection between the two variables of TAM, perceived ease of use and perceived usefulness, and use of CAS among accountants in micro and small enterprises (MSEs). The scope of this study is businesses in Xi’an, Shaan Xi of China. An online survey has been used to obtain feedback from 400 respondents. However, only 201 responseshave been returned and available for further analysis. This study discovers a beneficial connection between perceived ease of use, perceived usefulness and CAS use. This study could guide the accountants and business owners as well as the research communities to understand the correlation of technology acceptance and the use of CAS.

Keywords: Computerised Accounting Systems, Perceived Ease of Use, Perceived Usefulness, Technology Acceptance Model (TAM), China

References: 1. F. D. Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Q., vol. 13, no. 3, p. 319, Sep. 1989. 2. Venkatesh and F. D. Davis, “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies,” Manage. Sci., vol. 46, no. 2, pp. 186–204, Feb. 2000. 3. B. Dharmarajan and K. Gangadharan, “Applying Technology Acceptance (TAM) Model to Determine the Acceptance of Nursing 56. Information System (NIS) for Computer Generated Nursing Care Plan among Nurses,” Int. J. Comput. Trends Technol. 2, vol. 4, no. 8, pp. 2625–2629, 2013. 4. T. Bhatti, “Exploring Factors Influencing the Adoption of Mobile Commerce,” J. Internet Bank. Commer., vol. 12, no. 3, pp. 1–13, 2007. 324-331 5. Rogers, “Examining Small Business Adoption of Computerized Accounting Systems Using the Technology Acceptance Model.,” Walden University, 2016. 6. V. Venkatesh, “Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model,” Inf. Syst. Res., vol. 11, no. 4, pp. 342–365, Dec. 2000. 7. V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “User Acceptance of Information Technology: Toward a Unified View,” MIS Q., vol. 27, no. 3, p. 425, 2003. 8. R. Fowzia and M. Nasrin, “Appreciation of Computerized Accounting System in Financial Institutions in Bangladesh,” World Rev. Bus. Res., vol. 1, no. 2, pp. 1–9, 2011. 9. B. Ozturk, A. Bilgihan, K. Nusair, and F. Okumus, “What keeps the mobile hotel booking users loyal? Investigating the roles of self- efficacy, compatibility, perceived ease of use, and perceived convenience,” Int. J. Inf. Manage., vol. 36, no. 6, pp. 1350–1359, Dec. 2016. 10. Wang and J. Ha-Brookshire, “Perceived Usefulness and Perceived Ease of Use of New Technologies Described by Chinese Textile and Apparel Firm Owners and Managers,” in International Textile and Apparel Association (ITAA) Annual Conference Proceedings, 2018, pp. 1–3. 11. Mustapha and S. N. Sheikh Obid, “Tax Service Quality: The Mediating Effect of Perceived Ease of Use of the Online Tax System,” Procedia - Soc. Behav. Sci., vol. 172, pp. 2–9, Jan. 2015. 12. Sledgianowski and S. Kulviwat, “Using Social Network Sites: The Effects of Playfulness, Critical Mass and Trust in a Hedonic Context,” J. Comput. Inf. Syst., vol. 49, no. 4, pp. 74–83, 2009. 13. Robey, “User Attitudes and Management Information System Use,” Acad. Manag. J., vol. 22, no. 3, pp. 527–538, Sep. 1979. 14. C. H. Mawhinney and A. L. Lederer, “A study of personal computer utilization by the manager,” Inf. Manag., vol. 18, pp. 243–253, 1990. 15. K. Kapoor, Y. Dwivedi, N. C. Piercy, B. Lal, and V. Weerakkody, “RFID integrated systems in libraries: extending TAM model for empirically examining the use,” J. Enterp. Inf. Manag., vol. 27, no. 6, pp. 731–758, Oct. 2014. 16. J. C. Sánchez-Prieto, S. Olmos-Migueláñez, and F. J. García-Peñalvo, “MLearning and pre-service teachers: An assessment of the behavioral intention using an expanded TAM model,” Comput. Human Behav., vol. 72, pp. 644–654, Jul. 2017. 17. R. Little and D. Rubin, Statistical analysis with missing data. John Wiley &Sons., 2014. 18. G. Marczyk, D. DeMatteo, and D. Festinger, Essentials of research design and methodology. Hoboken, NJ, US: John Wiley & Sons Inc., 2005. 19. E. Bell, A. Bryman, and B. Harley, Business research methods. Oxford University Press, 2015. 20. L. J. Cronbach, “Coefficient alpha and the internal structure of tests,” Psychometrika, vol. 16, no. 3, pp. 297–334, Sep. 1951. 21. J. Pallant, SPSS Survival Manual: A step by step guide to data analysis using SPSS for Windows (Version 10). Buckingham, Philadelphia: Open University Press, 2013. 22. S. Beavers, J. W. Lounsbury, J. K. Richards, S. W. Huck, G. J. Skolits, and S. L. Esquivel, “Practical Considerations for Using Exploratory Factor Analysis in Educational Research,” Pract. Assessment, Res. Eval., vol. 18, no. 6, pp. 1–13, 2013. 23. J. Hair, R. Anderson, B. Babin, and W. Black, Multivariate data analysis: A global perspective (Vol. 7). Upper Saddle River, NJ: Pearson, 2010. 24. P. M. Podsakoff and D. W. Organ, “Self-reports in organizational research: Problems and prospects,” J. Manage., vol. 12, no. 4, pp. 531– 544, 1986. 25. P. M. Podsakoff, S. B. MacKenzie, J.-Y. Lee, and N. P. Podsakoff, “Common method biases in behavioral research: A critical review of the literature and recommended remedies.,” J. Appl. Psychol., vol. 88, no. 5, p. 879, 2003. 26. P. Cohen, P. Cohen, S. G. West, and L. S. Aiken, Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. New York: Psychology Press, 2014. 27. S. V. C. de Souza and R. G. Junqueira, “A procedure to assess linearity by ordinary least squares method,” Anal. Chim. Acta, vol. 552, no. 1–2, pp. 25–35, Nov. 2005. 28. M. W. Lipsey and D. B. Wilson, Applied social research methods series; Vol. 49. Practical meta-analysis. Thousand Oaks, CA, US: Sage Publications, Inc., 2001. 29. Z. Lanlan and A. Ahmi, “Exploration on the Use of Computerized Accounting Systems by Micro and Small Enterprises (MSEs) in China,” Int. J. Eng. Technol., vol. 7, no. 3.2, pp. 806–810, 2018. Authors: Azharudin Ali, Aidi Ahmi, Siti Zabedah Saidin Paper Title: A Performance of Ingenuity Research using Bibliometric Method Abstract: The age of fast modifications across the digital and new technology-driven economy, artificial intelligence, and fast cycles of product life have made engineering important for worldwide economic and social development. Further, ingenuity is also crucial in confronting the uncertainties and challenges brought by Industrial Revolution 4.0 (IR4.0) and dynamic business environment. Hence, this study aims to analyze and look at the title of papers and articles on the ingenuity studies derived from Scopus database. By and large, ingenuity is defined as“ the quality of inventive, original and novelty”, This means an intrinsic or inborn skill for practical ideas, intelligence, ingenuity, creativity, and the ability to innovate, solve issues, and generate fresh stuff and ideas. In this study, the coverage we reviewed on ingenuity titles includes multidisciplines and regions from the entire perspective of ingenuity studies, not limited to the ingenuity of technology, science, production and engineering. Thus, it provides a profile and insights into the behaviours and attributes of the ingenuity study to discover a title of publications and research evidence or expectedness that possibly will occur in papers. Data are collected employing a bibliometric approach to analyze the titles of papers, research and publications that have been listed and indexed by Scopus(exclude the publication year 2018). Therefore, all articles from various type of documents and sources that have ingenuity keyword in its title including author keywords and abstracts in the Scopus database has been obtained and analyzed. The result shows a total of 465 papers are obtainable for further analysis after carrying out the cleanup process. Furthermore, it indicates about 75 percent or 346 out of 465 articles came from journals source type that has the ingenuity keywords in its.The outcomes of this bibliometric analysis are found to be useful for researchers in providing valuable insight and understanding about the prospect and outlook of the global research on ingenuity as well as in finding future research direction.

Keywords: Ingenuity, Bibliometric Analysis, Scopus Database

57. References: 332-337 1. D. McGregor, The Human Side of Enterprise. (McGraw-Hill, 1960). 2. T. Homer-Dixon, “The Ingenuity Gap: Can Poor Countries Adapt to Resource Scarcity?,” Popul. Dev. Rev., 21(3), 587, (1995). 3. T. F. Homer-Dixon, The Ingenuity Gap: How Can We Solve The Problems of the Future?(Knopf, 2000). 4. T. F. Homer-Dixon, The Ingenuity Gap: Facing the Economic, Environmental, and other Challenges of an Increasingly Complex and Unpredictable World. (Vintage Books, 2002). 5. R. (Priya) Kannan-Narasimhan, “Organizational Ingenuity in Nascent Innovations: Gaining Resources and Legitimacy through Unconventional Actions,” Organ. Stud., 35(4), 483–509, (2014). 6. S. A. M. Dolmans, E. van Burg, I. M. M. J. Reymen, and A. G. L. Romme, “Dynamics of Resource Slack and Constraints: Resource Positions in Action,” Organ. Stud., 35(4), 511–549, (2014). 7. B. D. Rosso, “Creativity and Constraints: Exploring the Role of Constraints in the Creative Processes of Research and Development Teams,” Organ. Stud., 35(4), 551–585, (2014). 8. S. Lombardo and R. Kvålshaugen, “Constraint-Shattering Practices and Creative Action in Organizations,” Organ. Stud., 35(4), 587–611, (2014). 9. K. Walker, F. Schlosser, and D. Deephouse, “Organizational ingenuity and the paradox of embedded agency: The case of the embryonic Ontario solar energy industry,” Organ. Stud., (2014). 10. J. M. Korhonen and L. Välikangas, “Constraints and Ingenuity: The Case of Outokumpu and the Development of Flash Smelting in the Copper Industry,” in Handbook of Organizational and Entrepreneurial Ingenuity, B. Honig, J. Lampel, and I. Driori, Eds. (2014). 11. N. Senf, J. Koch, and W. Rothmann, “Ingenuity as creative unfolding: Framing the frame in haute cuisine,” in Handbook of Organizational and Entrepreneurial Ingenuity, B. Honig, J. Lampel, and I. Driori, Eds. (2014). 12. A.C. O. Siqueira, S. R. H. Mariano, J. Moraes, and G. Gorse, “Creating Innovative Solutions in Microfinance and the Role of Organizational Ingenuity,” in Handbook of Organizational and Entrepreneurial Ingenuity, B. Honig, J. Lampel, and I. Driori, Eds. (2014). 13. J. Lampel, B. Honig, and I. Drori, “Organizational Ingenuity: Concept, Processes and Strategies,” Organ. Stud., 35(4), 465–482, (2014). 14. M. Ungerer, M. Pretorius, and J. Herholdt, Viable Business Strategies: a Field book for Leaders. (Randburg: Knowres Publishing, 2011). 15. J. Keiser and J. Utzinger, “Trends in the core literature on tropical medicine: a bibliometric analysis from 1952-2002,” Scientometrics, 62(3), 351–365, (2005). 16. R. Tang and M. Thelwall, “U.S. academic departmental Web-site interlinking in the United States Disciplinary differences,” Libr. Inf. Sci. Res., 25(4), 437–458, (2003). 17. H. Schutz and B. Six, “More than 7000 Pages of Social-Psychology-A Journal in Retrospect,” Zeitschrift fur Sozialpsychologie, 25(1), 5– 17, (1994). 18. T. Braun, W. Glänzel, and H. Grupp, “The scientometric weight of 50 nations in 27 science areas, 1989–1993. Part I. All fields combined, mathematics, engineering, chemistry and physics,” Scientometrics, 33(3), 263–293, (1995) 19. A..E. Bayer and J. Folger, “Some Correlates of a Citation Measure of Productivity in Science,” Sociol. Educ., 39(4), 381, (1966). 20. E. Garfield, “Keywords plus-ISIS breakthrough retrieval method. Expanding your searching power on current-contents on diskette,” Curr. Contents, 32, 5–9, (1990). 21. J. Chen, “Perspective Innovation Research of Global,” in Academy of Management Annual Meeting, (2010). Authors: S.Sivakumar, K.SiddappaNaidu, K.Karunanithi Paper Title: Design of Energy Management System Using Autonomous Hybrid Micro-Grid under IOT Environment Abstract: In this paper, the automated power consumption unit is implemented by smart system technology. The interfacing could be done between the user and power sensing unit in which the collection of data is segregated and processed by the common interface bridge unit. Then, the data is transmitted to the power grid unit where the the processing and sensing power consumption is executed for the consumer in aspects of bill generation. All this kind of environment is controlled by the Internet of Things (IoT) substances and regulated by the configured power supplies. The entire setup wire diagram is simulated using Lab VIEW. The another advantage of the proposed system is equipped with highly cyber security point.

Keywords: conditions, cyber security, LabVIEW IOT(gmail), GSM, data monitoring

References: 1. Y. Lee et al., “A modular 1 mm 3 die-stacked sensing platform with lowpower I2C inter-die communication and multi-modal energy harvesting,”IEEE J. Solid-State Circuits, vol. 48, no. 1, pp. 229–243, Jan. 2013. 2. Y. Zhang et al., “A batteryless 19 µW MICS/ISM-band energy harvest-ing body sensor node SoC for ExG applications,” IEEE J. Solid- StateCircuits, vol. 48, no. 1, pp. 199–213, Jan. 2013. 3. S. Bandyopadhyay and A. P. Chandrakasan, “Platform architecture forsolar, thermal, and vibration energy combining with MPPT and singleinductor,” IEEE J. Solid-State Circuits, vol. 47, no. 9, pp. 2199–2215,Sep. 2012. 4. S. Bandyopadhyay, P. P. Mercier, A. C. Lysaght, K. M. Stankovic, andA. P. Chandrakasan, “A 1.1 nW energy-harvesting system with 544 pWquiescent power for next-generation implants,” IEEE J. Solid-StateCircuits, vol. 49, no. 12, pp. 2812–2824, Dec. 2014. 5. Y. K. Teh and P. K. T. Mok, “Design of transformer-based boost converterfor high internal resistance energy harvesting sources with 21 mV self-startup voltage and 74% power efficiency,” IEEE J. Solid-State Circuits,vol. 49, no. 11, pp. 2694–2704, Nov. 2014. 6. W. Jung et al., “An ultra-low power fully integrated energy harvesterbased on self-oscillating switched-capacitor voltage doubler,” IEEE J.Solid-State Circuits, vol. 49, no. 12, pp. 2800–2811, Dec. 2014. 58. 7. Bosch BMP180 Digital Pressure Sensor,, 2015., http://ae-bst.resource.bosch.com/media/products/dokumente/bmp180/BST-BMP180- DS000-12~1.pdf. 338-343 8. CAT34TS00 1.8 V Digital Temperature Sensor, On Semiconductor 2014,[9] Data Sheet, SHTC1 Humidity and Temperature Sensor IC, ver.4,SensirionAug.2015,http://www.sensirion.com/fileadmin/user_upload/customers/sensirion/Dokumente/Humidity/Sensirion_Humidity _SHTC1_Datasheet_V3.pdf. 9. “What the Internet of Things (IoT) Needs to Become Reality,” FreescaleSemiconductor/ARM, Inc. White Paper, 2012–2014 10. R. Yu and T. Watteyne, “Reliable, low power wireless sensor networksfor the internet of things: Making wireless sensors as accessible as webservers,” http://cds.linear.com/docs/en/white-paper/wp003.pdf. 11. X. Liu and E. Sanchez-Sinencio, “A 0.45-to-3V reconfigurable charge-pump energy harvester with two-dimensional MPPT for Internet ofThings,” IEEE Int. Solid-State Circuits Conf. Dig. Tech. Papers, 2015,pp. 1–3. 12. G. Palumbo and D. Pappalardo, “Charge pump circuits: An overview ondesign strategies and topologies,” IEEECircuits Syst. Mag.,vol. 10,no.1,pp. 31–45, 2010. 13. E. J. Carlson, K. Strunz, and B. P. Otis, “A 20 mV input boost converterwith efficient digital control for thermoelectric energy harvesting,” IEEEJ. Solid-State Circuits, vol. 45, no. 4, pp. 741–750, Apr. 2010. 14. P. S. Weng, H. Y. Tang, P. C. Ku, and L. H. Lu, “50 mV-input battery-less boost converter for thermal energy harvesting,” IEEE J. Solid- StateCircuits, vol. 48, no. 4, pp. 1031–1041, Apr. 2013. 15. Y.-C. Shih and B. P. Otis, “An inductorless DC-DC converter for energyharvesting with a 1.2 µW bandgap-referenced output controller,” IEEETrans. Circuits Syst. II, Exp. Briefs, vol. 58, no. 12, pp. 832–836, Dec.2011. 16. J.Zarate-Roldan,S.Carreon-Bautista,A.Costilla-Reyes,andE.Sanchez-Sinencio, “An ultra-low power power management unit with −40 dBswitching-noise-suppression for a 3×3 thermoelectric generator arraywith 57% maximum end-to-end efficiency,” Proc. IEEE Custom Integr.Circuits Conf., San Jose, CA, USA, 2014, pp. 1–4. 17. I. Doms, P. Merken, C. Van Hoof, and R. P. Mertens, “Capacitivepower management circuit for micropower thermoelectric generatorswith a 1.4 µA controller,” IEEE J. Solid-State Circuits, vol. 44, no. 10,pp. 2824–2833, Oct. 2009. 18. Y. H. Lee et al., “A low quiescent current asynchronous digital-LDO withPLL-modulated fast-DVS power management in 40 nm SoC for MIPSperformance improvement,” IEEE J. Solid-State Circuits, vol. 48, no. 4,pp. 1018–1030, Apr. 2013. 19. S. Gangopadhyay, D. Somasekhar, J. W. Tschanz, and A. Raychowdhury,“A32nmembedded,fulldigital,phaselockedlowdropoutregulatorforfine grained power management in digital circuits,” IEEE J. Solid-StateCircuits, vol. 49, no. 11, pp. 2684–2693, Nov. 2014. Authors: Venkata Venugopal Rao Gudlur @ Saigopal, Sundresan Perumal Paper Title: Biometric Mobile Data on Secure Public Cloud Vulnerabilities Abstract:Companies who are implementing the cloud solutions have increased numerous advantages in the recent years. Cloud solutions provide a very few preferences, for example, portability, adaptability and costs funds. Alongside the numerous advantages that distributed computing offers the security challenges that it presents are 59. similarly striking. The two essential capacities for secure cloud administration are character administration and access control in distributed computing, the current methodologies for client confirmation depend on accreditation 344-347 that are put together by the client. These accreditations incorporate passwords, tokens and computerized authentications. Most of the cases unapproved access by outsiders, for example, programmers likewise exist and simple for information control and abuse. In any case, the most serious issue with this methodology is that the presence of such many secret phrase account pairings for each individual client prompts either overlooked passwords or utilizing a similar mix for different locales. Security issue is significant concern, region of research in versatile distributed computing and clients. Shielding the remote information and applications from any ill- conceived get to remain an essential security worry in portable distributed computing. This paper explains about secure bio metric and face recognized based authentication protocol which is best suited for the public cloud environment to improve the safer and secure user authentication process. The above strategy will anchor approved clients as well as keep the cloud suppliers can't get in to the information and data access.

Keywords:Cloud Computing, Forensic Bio Matric, Internet of Things (IoT), Mobile Data.

References: 1. Danny Thakkar is the co-founder of Biometric, one of the leading biometric solution providers in the world July 2016. 2. Anil K. Jain, Arun Ross, and Salil Prabhakar, “An Introduction to Biometric Recognition,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 14, No. 1, January 2004. 3. Veo Zhang (Mobile Threats Analyst) Posted on:December 3, 2015 at 8:59 am Posted in:Mobile, Vulnerabilitieshttps://blog.trendmicro.com/trendlabs-security- intelligence/high- profile-mobile-apps-at-risk-due-to- three- year-old-vulnerability/ 4. Liang H-W, Hwang Y-H (2016) Mobile Phone Use Behaviors and Postures on Public Transportation Systems. PLoS ONE 11(2): e0148419.https://doi.org/10.1371/journal.pone.0148419 5. Bernd Zwattendorfer, E-Government Innovation Center, Graz University of Technology, Graz, Austria Arne Tauber, E-Government Innovation Center, Graz University of Technology, Graz, Austria- 2013 6. Khan, F., Zhang, B., Khan, S., & Chen, S. (2011). Technological leap frogging e- government through cloud computing. In Proceedings of the 2011 4th IEEE International Conference on Broadband Network and Multimedia Technology (pp. 201-206). IEEE 7. V. Spoorthy1, M. Mamatha2, B. Santhosh Kumar A Survey on Data Storage and Security in Cloud Computing: IJCSMC, Vol. 3, Issue. 6, June 2014, pg.306 – 313 8. Sapna Malik- GGSIPU University, MM Chaturvedi – Ansal University, Privacy and Security in Mobile Cloud Computing: Review - International Journal of Computer Applications (0975 – 8887) Volume 80 – No 11, October 2013 9. Burda, D. and Teuteberg, F. (2014) ‘The role of trust and risk perceptions in cloud archiving-Results from an empirical study’, The Journal of High Technology Management Research, 25(2), pp. 172-187 10. Lian, J. W. (2015) ‘Critical factors for cloud based einvoice service adoption in Taiwan:An empirical study’, International Journal of Information Management, 35(1), pp. 98- 109. 11. E.Gorelik, “Cloud Computing Models”, Massachusetts Institute of Technology Cambridge, MA,2013. Available: http://web.mit.edu/smadnick/www/wp/2013- 01.pdf 12. Grispos, George; Tim Storer; and William Bradley 13. Glisson. (2012). Calm Before the Storm: The Challenges of Cloud Computing in Digital Forensics. International Journal of Digital Crime and Forensics (IJDCF) 4(2), pp. 28-48. 14. Bitdefender, “IoT: Risks in the connected home”, research paper, published February 2016. 15. Angus Wong, Alan YeungG, “Network infrastructure security’’, eBook, ISBN 978- 1-4419-0166-8 16. Muthanna, Ammar, et al. "Comparison of protocols for Ubiquitous wireless sensor network." Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014 6th International Congress on. IEEE, 2014. 17. Buric, J., and D. Delija. "Challenges in Network forensics." Information and Communication Technology,Electronics and Microelectronics (MIPRO), 2015 38th International Convention on. IEEE, 2015. 18. H. Haddad Pajouh, R. Javidan, R. Khayami, D. Ali, K.-K.R. Choo, A two-layer dimension reduction and two-tier classification model for anomaly-basedintrusion detection in IoT backbone networks, IEEE Trans. Emerg. Top. Comput. (2016) 1. http://dx.doi.org/10.1109/TETC.2016.2633228. 19. J. Lopez, R. Rios, F. Bao, G. Wang, Evolving privacy: from sensors to the Internet of Things, Future Gener. Comput. Syst. 75 (2017) 46– 57. http://dx.doi.org/10.1016/j.future.2017.04.045. 20. F.A. Alaba, M. Othman, I.A.T. Hashem, F. Alotaibi, Internet of Things security:A survey, J. Netw. Comput. Appl. 88 (2017) 10–28. http://dx.doi.org/10.1016/j.jnca.2017.04.002.Strategy& (September 2016), ‘Industry 4.0: How digitization makes the supply chain more efficient, agile, and customer-focused’. Available at http:// www.strategyand.pwc.com/reports/industry-4-0(accessed 15th May, 2017). 21. Ryder, S., Le-Khac, N-A. (2016), The End of effective Law Enforcement in the Cloud? To encrypt, or not to encrypt, 9th IEEE International Conference on Cloud Computing, San Francisco, CA, USA, June 2016 22. Popken, B. (2017), Hacked Home Devices Can Spy OnYou - NBC News, OCT 26 2017, 2017. [Online]. https://www.nbcnews.com/tech/security/hacked- home devicescan-spy-you-n814671. 23. FDA (2017), Safety Communications - Cybersecurity Vulnerabilities Identified in St. Jude Medicals Implantable Cardiac Devices and Merlin@home Transmitter: FDA Safety Communication, 2017 24. J. Yang, and B. Fang, “Security model and key technologies for the Internet of things,” in: The Journal of China Universities of Posts and Telecommunications. 2011, pp. 109-112. DOI: 10.1016/S1005-8885(10)60159-8. ISSN 10058885. 25. S. Babar, A. Stango, N. Prasad, J. Sen, and R. Prasad, “Proposed embedded security framework for Internet of Things (IoT),” in: 2011 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology (Wireless VITAE), 2011, pp. 1-5. DOI: 10.1109/WIRELESSVITAE.2011.5940923. Muhamad Muslihudin, Trisnawati, Siti Mukodimah, Wahidah Hashim, B. Ayshwarya, Phong Thanh Authors: Nguyen, K. Shankar, Sergey Kh. Peteraitis, Andino Maseleno Performance of SAW and WP Method in Determining the Feasibility of Motorcycle Engineering Paper Title: Workshop for Competency Test of Vocational High School Student Abstract:Vocational High School is one form of a formal education unit that provides vocational education in secondary education as a continuation of SMP, MTs. Graduates who are owned by SMK will be able to choose the skill in accordance with the majors in persistent as stock in the world of business and industry. Feasibility in facilities and infrastructure has an important role in producing qualified graduates. Laboratory is an important tool in the activities of Competency Test Graduation skills expertise. In this study comparing two methods of Simple 60. 348-353 Additive Weighting and Weight Product Method as an effort to measure the feasibility level of Kopetensi Test in motorcycle engineering program by using alternative school in Pringsewu District. From the results of the study conducted both methods can be used as a basis in decision making lab workshop Competency Testing Expertise in District Pringsewu.

Keywords:Simple additive weighting, weighted product, vocational high school

References: 1. W. H. S. dan L. C. Yuswono, “The Studyof Appropriateness Of Practice Tools And Facilities On Ujian Kompetensi Keahlian Teknik Kendaraan Ringan Major In Sleman District Accredited B Privatevocational High School,” J. Pendidik. Tek. Otomotif, vol. 12, no. 2, pp. 92–105, 2016. 2. F. Setiawan, “Studi Kelayakan Sarana Dan Prasarana Parkik Kelistrikan Teknik Kendaraan Ringan Di SMK Muhammadiyah Prambanan,” Skripsi Fak. Tek. UNY, pp. 1–32, 2014. 3. E. Turban, J. E. Aronson, and T.-P. Liang, “Decision Support Systems and Intelligent Systems,” Decis. Support Syst. Intell. Syst., vol. 7, p. 867, 2007. 4. S. H. Chan, Q. Song, S. Sarker, and R. D. Plumlee, “Decision support system (DSS) use and decision performance: DSS motivation and its antecedents,” Inf. Manag., vol. 54, no. 7, pp. 934–947, 2017. 5. P. R. Indonesia, “Undang-Undang Republik Indonesia Nomor 20 Tahun 2003 Tentang Sistem Pendidikan Nasional,” Undang. Republik Indones., no. 1, 2013. 6. Kemendikbud, “Peraturan Menteri Pendidikan Dan Kebudayaan Republik Indonesia Nomor 59 Tahun 2011,” 2011, pp. 1–13. 7. Fardiyono, “Manajemen Dan Dan Prasarana Pendildikan Di Sekolah Dasar Kanisius Eksperimental (SDKE) Mangunan,” SKRIPSI FKIP UNY, pp. 1–242, 2015. 8. Menpan, “Permenpan No 03 Tahun 2010 Tentang Jabatan Fungsional Pranata Laboratorium Pendidikan dan Angka Kreditnya,” Permenpan, 2010. 9. R. Irviani, I. Dinulhaq, D. Irawan, R. Renaldo, and A. Maseleno, “Areas Prone of the Bad Nutrition based Multi Attribute Decision Making with Fuzzy Simple Additive Weighting for Optimal Analysis,” Int. J. Pure Appl. Math., vol. 118, no. 7, pp. 589–596, 2018. 10. T. Noviarti, M. Muslihudin, R. Irviani, and A. Maseleno, “Optimal Dengue Endemic Region Prediction using Fuzzy Simple Additive Weighting based Algorithm,” Int. J. Pure Appl. Math., vol. 118, no. 7, pp. 473–478, 2018. 11. M. Muslihudin, A. Latif, S. Ipnuwati, R. Wati, and A. Maseleno, “A Solution to Competency Test Expertise of Engineering Motorcycles using Simple Additive Weighting Approach,” Int. J. Pure Appl. Math., vol. 118, no. 7, pp. 261–267, 2018. 12. M. Muslihudin, T. S. Susanti, A. Maseleno, and S. Pringsewu, “The Priority of Rural Road Development using Fuzzy Logic based Simple Additive Weighting,” Int. J. Pure Appl. Math., vol. 118, no. 8, pp. 9–16, 2018. 13. A.Alinezhad, A. Amini, and A. Alinezhad, “Sensitivity analysis of simple additive weighting method (SAW): the results of change in the weight of one attribute on the final ranking of alternatives,” J. Ind. Eng., 2009. 14. S. Mukodimah, M. Muslihudin, A. Andoyo, S. Hartati, and A. Maseleno, “Fuzzy Simple Additive Weighting and its Application to Toddler Healthy Food,” Int. J. Pure Appl. Math., vol. 118, no. 7, pp. 1–7, 2018. 15. S. Kusumadewi, S. Hartati, A. Harjoko, and Retanto Wardoyo, Fuzzy Multi-Attribute Decision Making (Fuzzy MADM). Yogyakarta: Graha Ilmu, 2013. 16. J. Y. Pak, V. V. Thai, and G. T. Yeo, “Fuzzy MCDM Approach for Evaluating Intangible Resources Affecting Port Service Quality,” Asian J. Shipp. Logist., vol. 31, no. 4, pp. 459–468, 2015. 17. J. R. S. C. Mateo, “Weighted sum method and weighted product method,” in Green Energy and Technology, 2012, vol. 83, pp. 19–22. 18. D. M. Khairina, D. Ivando, and S. Maharani, “Implementasi Metode Weighted Product Untuk Aplikasi Pemilihan Smartphone Android,” J. Infote, vol. 8, no. 1, pp. 1–8, 2016. 19. Y. Siti R. Tazkiah, Amay Suherman, “Optimalisasi fasilitas alat praktik untuk mencapai tuntutan kompetensi siswa SMK,” J. Mech. Eng. Educ., vol. 3, no. 2, pp. 263–269, 2016. Hartati Deviana, M. Miftakul Amin, Roy Sandy, Phong Thanh Nguyen, Wahidah Hashim, Andino Authors: Maseleno Door Security Design using Radio Frequency Identification With a Short Message Service Warning Paper Title: System Abstract:In the workspace, when we are working at home it is vital for property holders to keep up vital records and information. In this manner, the security of the workspace entryway is extremely important to build security and it can avoid burglary when the workspace isn't utilized or relinquished. The easiest security for the entryway is introducing a manual key. Yet, manual key is anything but difficult to break. With advancement of entryway security innovation it utilizes watchword, finger check, and numerous others, yet security is just to open and shutting entryway. Yet, when the entryway was persuasively opened or harmed by hoodlums, the property holder still had no data that the entryway was broken. To conquer this issue, a framework that can supplant the manual entryway bolt to a more advanced entryway security framework is required with the goal that it is difficult to separate and can see whether the entryway is opened or harmed by a cheat. To run this framework, 3 parts are utilized, to be specific RFID card as a key re-arrangement apparatus, a sensor to gauge vibration on the entryway when it is constrained open or harmed by criminals and tells the mortgage holder by means of SMS.

61. Keywords:Door security, radio frequency, short message service 354-370 References: 1. Miftakul Amin, M.; Maseleno, A.; Shankar, K.; Perumal, E.; Vidhyavathi, R.M.; Lakshmanaprabu, S.K. 2018. Active database system approach and rule based in the development of academic information system, International Journal of Engineering and Technology(UAE), v.7, n.2.26, pp. 95-101. 2. Miftakul Amin, M.; Sutrisman, A.D.I.; Stiawan, D.; Ermatita; Maseleno, A. 2018. Design restful web service of national population database for supporting e-health interoperability service, Journal of Theoretical and Applied Information Technology, v.96, n. 15, pp. 4797- 4805. 3. Adole, P.; Mom, J.M.; Igwue, G.A. 2016. RFID Based Security Access Control System with GSM Technology, American Journal of Engineering Research (AJER), v. 5, n. 7, pp. 236-242. 4. Nwalozie, G.C.; Aniedu, A.N.; Nwokoye, C.S.; Abazuonu, I.E. 2015. Enhancing Home Security Using SMS-Based Intruder Detection System, International Journal of Computer Science and Mobile Computing, v.4, n.6, pp. 1177-1185. 5. Farooq, U.; Hasan, M.U.; Amar, M.; Hanif, A.; Asad, M.U. 2014. RFID Based Security and Access Control System, IACSIT International Journal of Egineering and Technology, v.6, n.4, pp. 309-314. 6. Miftakul Amin, M.; Azel Aji Nugratama, M.; Maseleno, A.; Huda, M.; Jasmi, K.A. 2018. Design of cigarette disposal blower and automatic freshner using MQ-5 sensor based on atmega 8535 microcontroller, International Journal of Engineering and Technology(UAE), v. 7, no. 3, pp. 1108-1113. 7. Kul, S.; Mudle, A.; Jivrak, V.; Dhamdhere, V. 2016. Arduino Based Security System, International Engineering Research Journal (IERJ), v. 2, n.2, pp. 671-674. 8. Gangi, R.R.; Gollapudi, S.S. 2013. Locker Opening and Closing System using RFID, Fingerprint, Password and GSM, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), v.2, n.2, pp. 142-145. 9. Ajaykumar, M.; Kumar, N.B. 2013. Anti-Theft ATM Machine Using Vibration Detection Sensor, International Journal of Advanced Research in Computer Science and Software Engineering, v.3, n.12, pp. 416-418. 10. Singh, G.; Singh, P.K.; Anshu; Chaudhary, B.; Thakur, G. 2016. Review on Digital Door Lock System, International Journal of Scientific Research and Management Studies (IJSRMS), v.3, n.4, pp. 170-174. 11. Widodo, S.; Amin, M.M.; Sutrisman, A. 2018. The Design of the Monitoring Tools of Clean Air Condition and Dangerous Gas CO, CO2CH4in Chemical Laboratory by Using Fuzzy Logic Based On Microcontroller. E3S Web of Conferences, ICENIS 2017, pp. 1-4. 12. Manikandan, V., et al. "PRIVACY PRESERVING DATA MINING USING THRESHOLD BASED FUZZY CMEANS CLUSTERING." ICTACT Journal on Soft Computing 9.1 (2018). 13. Batri, K., and M. Sivaram. "Testing the impact of odd and even point crossover of genetic algorithm over the data fusion in information retrieval." European Journal of Scientific Research (2012). 14. Steffin Abraham , Tana Luciya Joji , Sivaram M, D.Yuvaraj, “Enhancing Vehicle Safety With Drowsiness Detection Andcollision Avoidance” International Journal of Pure and Applied Mathematics, Volume 118 No. 22 2018, 921-927. https://acadpubl.eu/hub/2018-118 22/articles/22b/39.pdf 15. M. Sivaram, K. Batri, Amin Salih Mohammed and V. Porkodi, “Exploiting the Local Optima in Genetic Algorithm using Tabu Search”, Indian Journal of Science and Technology, Vol 12(1), DOI: 10.17485/ijst/2018/v12i1/139577, January 2019. 16. Nithya, S., Sundara Vadivel, P., Yuvaraj, D., Sivaram, M. “Intelligent based IoT smart city on traffic control system using raspberry Pi and robust waste management”, Journal of Advanced Research in Dynamical and Control Systems, Pages: 765-770, 2018. 17. Porkodi, V., et al. "Survey on White-Box Attacks and Solutions." Asian Journal of Computer Science and Technology 7.3 (2018): 28-32. 18. Viswanathan, M., Sivaram, M., Yuvaraj, D., Mohammed, A.S. “Security and privacy protection in cloud computing”, Journal of Advanced Research in Dynamical and Control Systems, Pages 1704-1710, 2018 19. Mohammed, Amin Salih, D. Yuvaraj, M. Sivaram, and V. Porkodi. "Detection And Removal Of Black Hole Attack In Mobile Ad Hoc Networks Using Grp Protocol." International Journal of Advanced Research in Computer Science 10, no. 6 (2018). 20. Sivaram, M., B. DurgaDevi, and J. Anne Steffi. "Steganography of two LSB bits." International Journal of Communications and Engineering 1.1 (2012): 2231-2307. 21. Dhivakar, B., et al. "Statistical Score Calculation of Information Retrieval Systems using Data Fusion Technique." Computer Science and Engineering 2.5 (2012): 43-5. 22. K. Mahalakshmi, M.Sivaram, K. Shantha Kumari, D.Yuvaraj, R.Keerthika, “Healthcare Visible Light Communication”, International Journal of Pure and Applied Mathematics, Volume 118 No. 11 2018, 345-348, https://acadpubl.eu/jsi/2018-118-10-11/articles/11/41.pdf. 23. Punidha, R.,Pavithra K, Swathika R, and Sivaram M, “ Preserving DDoS Attacks sing Node Blocking Algorithm.” International Journalof Pure and Applied Mathematics, Vol.119, o. 15, 2018, pp 633- 640. https://acadpubl.eu/hub/2018-119-15/3/473.pdf 24. Sivaram.M, Yuvaraj.D, Amin Salih Mohammed, Porkodi.V “Estimating the Secret Message in the Digital Image” International Journal of Computer Applications, 181(36):26-28, January 2019. 25. Punidha, R., avithra K, Swathika R, and Sivaram M, “ Preserving DDoS Attacks sing Node Blocking Algorithm.” International Journalof Pure and Applied Mathematics, Vol.119, o. 15, 2018, pp 633-640. https://acadpubl.eu/hub/2018-119-15/3/473.pdf 26. Sivaram, M., Yuvaraj, D., Porkodi, V., Manikandan, V. “Emergent news event detection from facebook using clustering” Journal of Advanced Research in Dynamical and Control Systems, Pages:1941-1947, 2018 27. Sivaram M, Batri K, “Odd and Even Point Crossover Based Tabu GA for Data Fusion in InformationRetrieval”,http://hdl.handle.net/10603/389 35, 10-Apr-2015. 28. Sivaram, M. "Odd And Even Point Crossover Based Tabu Ga For Data Fusion In Information Retrieval." (2014) 29. Malathi, N., and M.Sivaram. "An Enhanced Scheme to Pinpoint Malicious Behavior of Nodes In Manet’s." (2015). 30. Mohammed, A.S., Kareem, S.W., Al Azzawi, A.K., Sivaram, M. “Time series prediction using SRE-NAR and SRE-ADALINE”, Journal of Advanced Research in Dynamical and Control Systems, Pages: 1716-1726, 2018. 31. Mohammed, Sivaram Yuvaraj Amin Salih, and V. Porkodi. "Estimating the Secret Message in the Digital Image." International Journal of Computer Applications 181.36 (2019): 26-28 32. Sivaram, M., et al. "Estimating the Secret Message in the Digital Image." International Journal of Computer Applications 975: 8887. 33. Sivaram, M., et al. "The Real Problem Through a Selection Making an Algorithm that Minimizes the Computational Complexity." 34. Obulatha-II-ME-CSE, Miss O. "Position Privacy Using LocX." 35. SRE-NAR, Time Series Prediction Using. "SRE-ADALINE." 36. Kousik, N. V., M. Sivaram, and S. Kalidass. "AUTONOMOUS GREEDY ROUTING IN WIRELESS SENSOR NETWORKS." 37. S, Deepa and M, Sivaram, Enabling Anonymous Endorsement in Clouds with Decentralized Access Control (June 2015). International Journal of Scientific Engineering and Applied Science (IJSEAS) - Volume-1, Issue-3, June 2015. Available at SSRN: https://ssrn.com/abstract=3352128 38. M, Sivaram, 4G and 5G Communication Networks Future Analysis (April 11, 2019). Available at SSRN: https://ssrn.com/abstract= 39. M, Sivaram and Sivaram, Porkodi and manikandan, V, Securing the Sensor Networks Along With Secured Routing Protocols for Data Transfer in Wireless Sensor Networks (OCTOBER 28, 2018). Available at SSRN: https://ssrn.com/abstract= 40. Sivaram, M., et al. "DETECTION OF ACCURATE FACIAL DETECTION USING HYBRID DEEP CONVOLUTIONAL RECURRENT NEURAL NETWORK." ICTACT Journal on Soft Computing 9.2 (2019). 41. R.Punidha, M.Sivaram, “Integer Wavelet Transform Based Approach For High Robustness Of Audio Signal Transmission”, International Journal of Pure and Applied Mathematics, Volume 116 No. 23 2017, 295-304, https://acadpubl.eu/jsi/2017-116-23-24/articles/23/40.pdf 42. Sivaram M., Mohammed A.S., Yuvaraj D., Porkodi V., Manikandan V., Yuvaraj N. (2019) Advanced Expert System Using Particle Swarm Optimization Based Adaptive Network Based Fuzzy Inference System to Diagnose the Physical Constitution of Human Body. In: Somani A., Ramakrishna S., Chaudhary A., Choudhary C., Agarwal B. (eds) Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics. ICETCE 2019. Communications in Computer and Information Science, vol 985. Springer, Singapore 43. Sivaram M. et al. (2019) Expert System in Determining the Quality of Superior Gourami Seed Using Forward Chaining-Based Websites. In: Somani A., Ramakrishna S., Chaudhary A., Choudhary C., Agarwal B. (eds) Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics. ICETCE 2019. Communications in Computer and Information Science, vol 985. Springer, Singapore 44. Amin Salih Mohammed et al., “Analysis of Mobile IP Wireless Networks in 5G International”, Journal of Advanced Trends in Computer Science and Engineering, 8(1.2), 2019, 39- 42 45. S. Jeya Shobana et al., “ FCCP – NS: A Fair Congestion Control Protocol with N-Sinks in Wireless Sensor Networks”, International Journal of Advanced Trends in Computer Science and Engineering, 8(1.2), 2019, 43- 51 46. Sivaram, M., et al. "Retransmission DBTMA Protocol with Fast Retransmission Strategy to Improve the Performance of MANETs." IEEE Access (2019). 47. Yuvaraj D, Sivaram M, Karthikeyan B, and Jihan Abdulazeez, “Shape, Color and Texture Based CBIR System Using Fuzzy Logic Classifier” CMC, vol.59, no.3, pp.729-739, 2019. Authors: M. Miftakul Amin, Hartati Deviana, Raksi Andika, Phong Thanh Nguyen, Wahidah Hashim, Andino Maseleno 62. Paper Title: Computer Numerically Controlled Machine to Draw text on Ardunio-based Acrylic Board Abstract: This paper presents Computer Numerically Controlled (CNC) machine to draw text on Arduino based acrylic board. The principle working of Computer Numerical Control (CNC) is a machine that is used for automatic control in the industrial world. It must more accurate, precise, flexible and suitale for production. CNC can reduce operator intervention during its operation. Design of computer numerically controlled machines for drawing text on Arduino-based acrilic boards is a tool used to draw text directly to an acrilic board based on the coordinates obtained from inkscape software. This tool consists of three translating axes, namely the X, Y, and Z axes. Each axis will move according to each coordinate obtained from the inkscape software and then sent to the microcontroller. This tool is only focused to draw the text is expected to not only draw the text, but also can draw another shape.

Keywords: drawing design; acrylic board; computer numerically controlled; Arduino UNO; CNC machine

References: 1. Pandian, S.; Pandian, S.R. 2014. A Low Cost Build Your Own Three Axis CNC Mill Prototype, International Journal on Mechanical Engineering and Robotics (IJMER), v. 2, n. 1, pp. 2321-5747. 2. Prince, M.K.K.; Ansary, M.A.M.; Mondol, A.S. 2017. Implementation of Low Cost CNC Plotter using Spare Parts, International Journal of Engineering Trends and Technology (IJETT), v.43, n.6, pp. 333-339. 3. Kashikar, K.; Bhagat, R.; Nachare, A.; Shigwan, A.; Palinje, M. 2018. Smart Axibot. International Conference on Innovative and Advanced Technologies in Engineering, v.1, pp. 12-17. 4. Yang, H.B.; Yan, J. 2015. DXF File Identification with C# for CNC Engraving Machine System, Intelligent Control and Automation, pp. 20-28. 5. Sutarman; Edihermawan, H.; Sarmidi. 2017. Computer Numerical Control (CNC) Milling and Turning for Machining Process in Xintai Indonesia, Quest Journals: Journal of Research in Mechanical Engineering, v.3, n.5, pp. 01-07. 6. Miftakul Amin, M.; Azel Aji Nugratama, M.; Maseleno, A.; Huda, M.; Jasmi, K.A. 2018.Design of Cigarette Disposal Blower and Automatic Freshner using MQ-5 Sensor Based on ATMEGA 8535 Microcontroller,International Journal of Engineering and Technology(UAE), v. 7, no. 3, pp. 1108-1113 7. Sharan, R.V.; Onwubolu, G.C. 2013. Simulating the Arm Movements of a Stepper Motor Controlled Pick-and-Place Robot Using the Stepper Motor Model, International Journal of Advanced Science and Technology, v.6, pp. 59-66 8. Shah, N.M.; Arya, S. 2016. Simulation and Implementation of DC Servomotor Position Control: A Technological Review, International Journal of Advance Engineering and Research Development, v.3, n.2, pp. 124-129. 9. Laddha, N.R.; Thakare, A.P. 2013. A Review on Serial Communication by UART, International Journal of Advanced Research in Computer Science and Software Engineering, v.3, n.1, pp. 366-369. 10. Widodo, S.; Amin, M.M.; Sutrisman, A. 2018. The Design of the Monitoring Tools of Clean Air Condition and Dangerous Gas CO, CO2CH4in Chemical Laboratory by Using Fuzzy Logic Based On Microcontroller. E3S Web of Conferences, ICENIS 2017, pp. 1-4. 11. Manikandan, V., et al. "PRIVACY PRESERVING DATA MINING USING THRESHOLD BASED FUZZY CMEANS CLUSTERING." ICTACT Journal on Soft Computing 9.1 (2018). 12. Batri, K., and M. Sivaram. "Testing the impact of odd and even point crossover of genetic algorithm over the data fusion in information 371-384 retrieval." European Journal of Scientific Research (2012). 13. Steffin Abraham , Tana Luciya Joji , Sivaram M, D.Yuvaraj, “Enhancing Vehicle Safety With Drowsiness Detection Andcollision Avoidance” International Journal of Pure and Applied Mathematics, Volume 118 No. 22 2018, 921-927. https://acadpubl.eu/hub/2018-118 22/articles/22b/39.pdf 14. M. Sivaram, K. Batri, Amin Salih Mohammed and V. Porkodi, “Exploiting the Local Optima in Genetic Algorithm using Tabu Search”, Indian Journal of Science and Technology, Vol 12(1), DOI: 10.17485/ijst/2018/v12i1/139577, January 2019. 15. Nithya, S., Sundara Vadivel, P., Yuvaraj, D., Sivaram, M. “Intelligent based IoT smart city on traffic control system using raspberry Pi and robust waste management”, Journal of Advanced Research in Dynamical and Control Systems, Pages: 765-770, 2018. 16. Porkodi, V., et al. "Survey on White-Box Attacks and Solutions." Asian Journal of Computer Science and Technology 7.3 (2018): 28-32. 17. Viswanathan, M., Sivaram, M., Yuvaraj, D., Mohammed, A.S. “Security and privacy protection in cloud computing”, Journal of Advanced Research in Dynamical and Control Systems, Pages 1704-1710, 2018 18. Mohammed, Amin Salih, D. Yuvaraj, M. Sivaram, and V. Porkodi. "Detection And Removal Of Black Hole Attack In Mobile Ad Hoc Networks Using Grp Protocol." International Journal of Advanced Research in Computer Science 10, no. 6 (2018). 19. Sivaram, M., B. DurgaDevi, and J. Anne Steffi. "Steganography of two LSB bits." International Journal of Communications and Engineering 1.1 (2012): 2231-2307. 20. Dhivakar, B., et al. "Statistical Score Calculation of Information Retrieval Systems using Data Fusion Technique." Computer Science and Engineering 2.5 (2012): 43-5. 21. K. Mahalakshmi, M.Sivaram, K. Shantha Kumari, D.Yuvaraj, R.Keerthika, “Healthcare Visible Light Communication”, International Journal of Pure and Applied Mathematics, Volume 118 No. 11 2018, 345-348, https://acadpubl.eu/jsi/2018-118-10-11/articles/11/41.pdf. 22. Punidha, R.,Pavithra K, Swathika R, and Sivaram M, “ Preserving DDoS Attacks sing Node Blocking Algorithm.” International Journalof Pure and Applied Mathematics, Vol.119, o. 15, 2018, pp 633- 640. https://acadpubl.eu/hub/2018-119-15/3/473.pdf 23. Sivaram.M, Yuvaraj.D, Amin Salih Mohammed, Porkodi.V “Estimating the Secret Message in the Digital Image” International Journal of Computer Applications, 181(36):26-28, January 2019. 24. Punidha, R., avithra K, Swathika R, and Sivaram M, “ Preserving DDoS Attacks sing Node Blocking Algorithm.” International Journalof Pure and Applied Mathematics, Vol.119, o. 15, 2018, pp 633-640. https://acadpubl.eu/hub/2018-119-15/3/473.pdf 25. Sivaram, M., Yuvaraj, D., Porkodi, V., Manikandan, V. “Emergent news event detection from facebook using clustering” Journal of Advanced Research in Dynamical and Control Systems, Pages:1941-1947, 2018 26. Sivaram M, Batri K, “ Odd and Even Point Crossover Based Tabu GA for Data Fusion in InformationRetrieval”,http://hdl.handle.net/10603/389 35, 10-Apr-2015. 27. Sivaram, M. "Odd And Even Point Crossover Based Tabu Ga For Data Fusion In Information Retrieval." (2014) 28. Malathi, N., and M.Sivaram. "An Enhanced Scheme to Pinpoint Malicious Behavior of Nodes In Manet’s." (2015). 29. Mohammed, A.S., Kareem, S.W., Al Azzawi, A.K., Sivaram, M. “Time series prediction using SRE-NAR and SRE-ADALINE”, Journal of Advanced Research in Dynamical and Control Systems, Pages: 1716-1726, 2018. 30. Mohammed, Sivaram Yuvaraj Amin Salih, and V. Porkodi. "Estimating the Secret Message in the Digital Image." International Journal of Computer Applications 181.36 (2019): 26-28 31. Sivaram, M., et al. "Estimating the Secret Message in the Digital Image." International Journal of Computer Applications 975: 8887. 32. Sivaram, M., et al. "The Real Problem Through a Selection Making an Algorithm that Minimizes the Computational Complexity." 33. Obulatha-II-ME-CSE, Miss O. "Position Privacy Using LocX." 34. SRE-NAR, Time Series Prediction Using. "SRE-ADALINE." 35. Kousik, N. V., M. Sivaram, and S. Kalidass. "AUTONOMOUS GREEDY ROUTING IN WIRELESS SENSOR NETWORKS." 36. S, Deepa and M, Sivaram, Enabling Anonymous Endorsement in Clouds with Decentralized Access Control (June 2015). International Journal of Scientific Engineering and Applied Science (IJSEAS) - Volume-1, Issue-3, June 2015. Available at SSRN: https://ssrn.com/abstract=3352128 37. M, Sivaram, 4G and 5G Communication Networks Future Analysis (April 11, 2019). Available at SSRN: https://ssrn.com/abstract= 38. M, Sivaram and Sivaram, Porkodi and manikandan, V, Securing the Sensor Networks Along With Secured Routing Protocols for Data Transfer in Wireless Sensor Networks (OCTOBER 28, 2018). Available at SSRN: https://ssrn.com/abstract= 39. Sivaram, M., et al. "DETECTION OF ACCURATE FACIAL DETECTION USING HYBRID DEEP CONVOLUTIONAL RECURRENT NEURAL NETWORK." ICTACT Journal on Soft Computing 9.2 (2019). 40. R.Punidha, M.Sivaram, “Integer Wavelet Transform Based Approach For High Robustness Of Audio Signal Transmission”, International Journal of Pure and Applied Mathematics, Volume 116 No. 23 2017, 295-304, https://acadpubl.eu/jsi/2017-116-23-24/articles/23/40.pdf 41. Sivaram M., Mohammed A.S., Yuvaraj D., Porkodi V., Manikandan V., Yuvaraj N. (2019) Advanced Expert System Using Particle Swarm Optimization Based Adaptive Network Based Fuzzy Inference System to Diagnose the Physical Constitution of Human Body. In: Somani A., Ramakrishna S., Chaudhary A., Choudhary C., Agarwal B. (eds) Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics. ICETCE 2019. Communications in Computer and Information Science, vol 985. Springer, Singapore 42. Sivaram M. et al. (2019) Expert System in Determining the Quality of Superior Gourami Seed Using Forward Chaining-Based Websites. In: Somani A., Ramakrishna S., Chaudhary A., Choudhary C., Agarwal B. (eds) Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics. ICETCE 2019. Communications in Computer and Information Science, vol 985. Springer, Singapore 43. Amin Salih Mohammed et al., “Analysis of Mobile IP Wireless Networks in 5G International”, Journal of Advanced Trends in Computer Science and Engineering, 8(1.2), 2019, 39- 42 44. S. Jeya Shobana et al., “ FCCP – NS: A Fair Congestion Control Protocol with N-Sinks in Wireless Sensor Networks”, International Journal of Advanced Trends in Computer Science and Engineering, 8(1.2), 2019, 43- 51 45. Sivaram, M., et al. "Retransmission DBTMA Protocol with Fast Retransmission Strategy to Improve the Performance of MANETs." IEEE Access (2019). 46. Yuvaraj D, Sivaram M, Karthikeyan B, and Jihan Abdulazeez, “Shape, Color and Texture Based CBIR System Using Fuzzy Logic Classifier” CMC, vol.59, no.3, pp.729-739, 2019. Muhamad Muslihudin, B. Ayshwarya, Effendi, Desi Yusfika, Muhammad Rizky Pribadi, Ferry Authors: Susanto, Wahidah Hashim, Phong Thanh Nguyen, Andino Maseleno, Siti Mukodimah, Diny Vellyana Application of Weighted Product Method for Determining Home Renovation Assistance in Pringsewu Paper Title: District Abstract: House is a place that is needed by human beside clothing and food. House has important function for all people, a place to unwind and gather with family. A good and comfortable house condition will make family harmony, therefore Pringsewu district government conducts a home renovation assistance program for underprivileged in Pringsewu District. The obstacles faced by local government in implementing home renovation assistance are to determine which citizens are eligible for home renovation assistance. This problem can be overcome by creating an effective and efficient home renovation assistance assessment system. By using the method of weighted product it is expected to help the performance of the local government in Pringsewu District, the method of weighted product was selected because it is able to select alternatives from each alternative. The function of this method is to determine the weight scoew for each alternative and the criteria that have been determined. There are six criteria used in this study, namely: (1) House Wall, (2) Roof Structure (3) Residential Floor (4) Latrine condition (5) Occupation of Head of Household (6) Certificate of House Ownership. In addition thecriteria also used criteria weighting score to determine the alternative obtained. The smallest score was in V3 with score of 0.122124 and alternative A3was the alternative selected as the recipient of home renovation assistance in Pringsewu district.

Keywords: Weighted Product, Pringsewu, Home Renovation

References: 63. 1. E. Turban, R. Sharda, and D. Delen, Decision Support and BusinessIntelligence Systems. Chapter 6 Artificial Neural Networks for Data Mining, vol. 8th. 2007. 2. E. Turban, J. E. Aronson, and T.-P. Liang, “Decision Support Systems and Intelligent Systems,” Decis. Support Syst. Intell. Syst., vol. 7, p. 385-391 867, 2007. 3. S. Kusumadewi, S. Hartati, A. Harjoko, and Retanto Wardoyo, Fuzzy Multi-Attribute Decision Making (Fuzzy MADM). Yogyakarta: Graha Ilmu, 2013. 4. A. Mardani, A. Jusoh, and E. K. Zavadskas, “Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014,” Expert Syst. Appl., vol. 42, no. 8, 2015. 5. E. K. Zavadskas, A. Mardani, Z. Turskis, A. Jusoh, and K. M. Nor, “Development of TOPSIS Method to Solve Complicated Decision- Making Problems — An Overview on Developments from 2000 to 2015,” Int. J. Inf. Technol. Decis. Mak., vol. 15, no. 03, 2016. 6. A. Alinezhad, A. Amini, and A. Alinezhad, “Sensitivity analysis of simple additive weighting method (SAW): the results of change in the weight of one attribute on the final ranking of alternatives,” J. Ind. Eng., 2009. 7. W. Waziana, R. Irviani, I. Oktaviani, F. Satria, D. Kurniawan, and A. Maseleno, “Fuzzy Simple Additive Weighting for Determination of Recipients Breeding Farm Program,” vol. 118, no. 7, pp. 93–100, 2018. 8. S. Mukodimah, M. Muslihudin, A. Andoyo, S. Hartati, and A. Maseleno, “Fuzzy Simple Additive Weighting and its Application to Toddler Healthy Food,” Int. J. Pure Appl. Math., vol. 118, no. 7, pp. 1–7, 2018. 9. M. Muslihudin, T. S. Susanti, A. Maseleno, and S. Pringsewu, “The Priority of Rural Road Development using Fuzzy Logic based Simple Additive Weighting,” Int. J. Pure Appl. Math., vol. 118, no. 8, pp. 9–16, 2018. 10. T. Noviarti, M. Muslihudin, R. Irviani, and A. Maseleno, “Optimal Dengue Endemic Region Prediction using Fuzzy Simple Additive Weighting based Algorithm,” Int. J. Pure Appl. Math., vol. 118, no. 7, pp. 473–478, 2018. 11. M. Muslihudin, R. Fitri Andriyanti, S. Mukodimah, P. Sistem Informasi, and S. Pringsewu Lampung, “Implementasi Metode Weighted Product Menentukan Beasiswa Bidik Misi Stmik Pringsewu,” Jatisi, vol. 4, no. 2, 2018. 12. J. R. S. C. Mateo, “Weighted sum method and weighted product method,” in Green Energy and Technology, 2012, vol. 83, pp. 19–22. 13. Manikandan, V., et al. "PRIVACY PRESERVING DATA MINING USING THRESHOLD BASED FUZZY CMEANS CLUSTERING." ICTACT Journal on Soft Computing 9.1 (2018). 14. Batri, K., and M. Sivaram. "Testing the impact of odd and even point crossover of genetic algorithm over the data fusion in information retrieval." European Journal of Scientific Research (2012). 15. Steffin Abraham , Tana Luciya Joji , Sivaram M, D.Yuvaraj, “Enhancing Vehicle Safety With Drowsiness Detection Andcollision Avoidance” International Journal of Pure and Applied Mathematics, Volume 118 No. 22 2018, 921-927. https://acadpubl.eu/hub/2018-118 22/articles/22b/39.pdf 16. M. Sivaram, K. Batri, Amin Salih Mohammed and V. Porkodi, “Exploiting the Local Optima in Genetic Algorithm using Tabu Search”, Indian Journal of Science and Technology, Vol 12(1), DOI: 10.17485/ijst/2018/v12i1/139577, January 2019. 17. Nithya, S., Sundara Vadivel, P., Yuvaraj, D., Sivaram, M. “Intelligent based IoT smart city on traffic control system using raspberry Pi and robust waste management”, Journal of Advanced Research in Dynamical and Control Systems, Pages: 765-770, 2018. 18. Porkodi, V., et al. "Survey on White-Box Attacks and Solutions." Asian Journal of Computer Science and Technology 7.3 (2018): 28-32. 19. Viswanathan, M., Sivaram, M., Yuvaraj, D., Mohammed, A.S. “Security and privacy protection in cloud computing”, Journal of Advanced Research in Dynamical and Control Systems, Pages 1704-1710, 2018 20. Mohammed, Amin Salih, D. Yuvaraj, M. Sivaram, and V. Porkodi. "Detection And Removal Of Black Hole Attack In Mobile Ad Hoc Networks Using Grp Protocol." International Journal of Advanced Research in Computer Science 10, no. 6 (2018). 21. Sivaram, M., B. DurgaDevi, and J. Anne Steffi. "Steganography of two LSB bits." International Journal of Communications and Engineering 1.1 (2012): 2231-2307. 22. Dhivakar, B., et al. "Statistical Score Calculation of Information Retrieval Systems using Data Fusion Technique." Computer Science and Engineering 2.5 (2012): 43-5. 23. K. Mahalakshmi, M.Sivaram, K. Shantha Kumari, D.Yuvaraj, R.Keerthika, “Healthcare Visible Light Communication”, International Journal of Pure and Applied Mathematics, Volume 118 No. 11 2018, 345-348, https://acadpubl.eu/jsi/2018-118-10-11/articles/11/41.pdf. 24. Punidha, R.,Pavithra K, Swathika R, and Sivaram M, “ Preserving DDoS Attacks sing Node Blocking Algorithm.” International Journalof Pure and Applied Mathematics, Vol.119, o. 15, 2018, pp 633- 640. https://acadpubl.eu/hub/2018-119-15/3/473.pdf 25. Sivaram.M, Yuvaraj.D, Amin Salih Mohammed, Porkodi.V “Estimating the Secret Message in the Digital Image” International Journal of Computer Applications, 181(36):26-28, January 2019. 26. Punidha, R., avithra K, Swathika R, and Sivaram M, “ Preserving DDoS Attacks sing Node Blocking Algorithm.” International Journalof Pure and Applied Mathematics, Vol.119, o. 15, 2018, pp 633-640. https://acadpubl.eu/hub/2018-119-15/3/473.pdf 27. Sivaram, M., Yuvaraj, D., Porkodi, V., Manikandan, V. “Emergent news event detection from facebook using clustering” Journal of Advanced Research in Dynamical and Control Systems, Pages:1941-1947, 2018 28. Sivaram M, Batri K, “ Odd and Even Point Crossover Based Tabu GA for Data Fusion in InformationRetrieval”,http://hdl.handle.net/10603/389 35, 10-Apr-2015. 29. Sivaram, M. "Odd And Even Point Crossover Based Tabu Ga For Data Fusion In Information Retrieval." (2014) 30. Malathi, N., and M.Sivaram. "An Enhanced Scheme to Pinpoint Malicious Behavior of Nodes In Manet’s." (2015). 31. Mohammed, A.S., Kareem, S.W., Al Azzawi, A.K., Sivaram, M. “Time series prediction using SRE-NAR and SRE-ADALINE”, Journal of Advanced Research in Dynamical and Control Systems, Pages: 1716-1726, 2018. 32. Mohammed, Sivaram Yuvaraj Amin Salih, and V. Porkodi. "Estimating the Secret Message in the Digital Image." International Journal of Computer Applications 181.36 (2019): 26-28 33. Sivaram, M., et al. "Estimating the Secret Message in the Digital Image." International Journal of Computer Applications 975: 8887. 34. Sivaram, M., et al. "The Real Problem Through a Selection Making an Algorithm that Minimizes the Computational Complexity." 35. Obulatha-II-ME-CSE, Miss O. "Position Privacy Using LocX." 36. SRE-NAR, Time Series Prediction Using. "SRE-ADALINE." 37. Kousik, N. V., M. Sivaram, and S. Kalidass. "AUTONOMOUS GREEDY ROUTING IN WIRELESS SENSOR NETWORKS." 38. S, Deepa and M, Sivaram, Enabling Anonymous Endorsement in Clouds with Decentralized Access Control (June 2015). International Journal of Scientific Engineering and Applied Science (IJSEAS) - Volume-1, Issue-3, June 2015. Available at SSRN: https://ssrn.com/abstract=3352128 39. M, Sivaram, 4G and 5G Communication Networks Future Analysis (April 11, 2019). Available at SSRN: https://ssrn.com/abstract= 40. M, Sivaram and Sivaram, Porkodi and manikandan, V, Securing the Sensor Networks Along With Secured Routing Protocols for Data Transfer in Wireless Sensor Networks (OCTOBER 28, 2018). Available at SSRN: https://ssrn.com/abstract= 41. Sivaram, M., et al. "DETECTION OF ACCURATE FACIAL DETECTION USING HYBRID DEEP CONVOLUTIONAL RECURRENT NEURAL NETWORK." ICTACT Journal on Soft Computing 9.2 (2019). 42. R.Punidha, M.Sivaram, “Integer Wavelet Transform Based Approach For High Robustness Of Audio Signal Transmission”, International Journal of Pure and Applied Mathematics, Volume 116 No. 23 2017, 295-304, https://acadpubl.eu/jsi/2017-116-23-24/articles/23/40.pdf 43. Sivaram M., Mohammed A.S., Yuvaraj D., Porkodi V., Manikandan V., Yuvaraj N. (2019) Advanced Expert System Using Particle Swarm Optimization Based Adaptive Network Based Fuzzy Inference System to Diagnose the Physical Constitution of Human Body. In: Somani A., Ramakrishna S., Chaudhary A., Choudhary C., Agarwal B. (eds) Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics. ICETCE 2019. Communications in Computer and Information Science, vol 985. Springer, Singapore 44. Sivaram M. et al. (2019) Expert System in Determining the Quality of Superior Gourami Seed Using Forward Chaining-Based Websites. In:Somani A., Ramakrishna S., Chaudhary A., Choudhary C., Agarwal B. (eds) Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics. ICETCE 2019. Communications in Computer and Information Science, vol 985. Springer, Singapore 45. Amin Salih Mohammed et al., “Analysis of Mobile IP Wireless Networks in 5G International”, Journal of Advanced Trends in Computer Science and Engineering, 8(1.2), 2019, 39- 42 46. S. Jeya Shobana et al., “ FCCP – NS: A Fair Congestion Control Protocol with N-Sinks in Wireless Sensor Networks”, International Journal of Advanced Trends in Computer Science and Engineering, 8(1.2), 2019, 43- 51 47. Sivaram, M., et al. "Retransmission DBTMA Protocol with Fast Retransmission Strategy to Improve the Performance of MANETs." IEEE Access (2019). 48. Yuvaraj D, Sivaram M, Karthikeyan B, and Jihan Abdulazeez, “Shape, Color and Texture Based CBIR System Using Fuzzy Logic Classifier” CMC, vol.59, no.3, pp.729-739, 2019. Anida Sarudin, Husna Faredza Mohamed Redzwan, Intan Safinas Mohd Ariff Al-Bakri, Zulkifli Authors: Osman Using the Cognitive Research Trust Scale to Assess the Implementation of the Elements of Higher- Paper Title: Order Thinking Skills in Malay Language Teaching and Learning Abstract: The aim of this study is to assess the teaching practices of Malay Language teachers in implementing the elements of higher-order thinking skills in the teaching and learning of Malay Language using the Cognitive

Research Trust (CoRT) Scale. Essentially, the scales comprises six devices, namely CoRT 1 (Breadth), CoRT 2 64. (Organization), CoRT 3 (Interaction), CoRT 4 (Critical Thinking), CoRT 5 (Information and Feeling), and CoRT 6 392-398 (Action) that are related to CoRT tests, namely PMI (Plus, Minus, Interesting), CAF (Consider All Factors), C&S (Consequence & Sequel), AGO (Aims, Goal, Objectives), FIP (First, Important, Priorities), APC (Alternatives, Possibilities, Choice), and OPV (Other People’s Views). This study used a qualitative approach using the observation method to elicit data from a study sample consisting of six Malay Language teachers from several schools with as sizeable indigenous or Orang Asli student population in the district of Batang Padang. A descriptive qualitative analysis was conducted to draw pertinent findings of the teachers’ understanding and practices of HOTS. The analysis of the data revealed that the teaching and learning of the subject matter were infused with the elements of HOTS, with the teachers employing a combination of the CoRT devices and thinking techniques. Such an infusion of skills was made evidently clear by students’ answers that demonstrated high critical thinking skills. These findings underscore the importance of using the Cognitive Research Trust Scale to assess the implementation of HOTS in the teaching and learning practice of the Malay Language. In conclusion, the proper and judicious use of CoRT devices and thinking techniques can help students to develop HOTS, which are extremely important to enable them to think and solve problems critically and creatively.

Keywords: High Order Thinking Skills (HOTS), Cognitive Research Trust Scale, Malay pedagogy, Malay teachers, Indigenous schools.

References: 1. Anida Sarudin, Dahlia Janan, Zulkifli Osman & Ahmad Khair. (2017a). Linguistics Approach as Teacher Pedagogy in Inculcating Cognitive Aspects of Preschool Children Journal of Applied Environmental and Biological Sciences, 7(1S), 1-11. 2. Anida Sarudin, Husna Faredza, Adenan Ayob dan Zuraini Ramli (2017b). Strategi Efektif Peranti Berfikir Cort (Cognitive Research Trust) Dalam Pendidikan Bahasa Melayu. Prosiding Seminar The 3rd Asia Pasific Conference on Educational Management and Leadership (APCEMAL 2017), 464-479. 3. Anida Sarudin, Dahlia Janan, Zulkifli Osman dan Ahmad Khair. (2016). Penguasaan Bahasa Melayu Kanak-kanak Prasekolah Berdasarkan Inventori Penilaian Kemahiran Terancang. International Journal of Language Education and Applied Linguistics (IJLEAL), 04, 93-106. 4. Anis Shaari & Aswati Hamzah. (2018) A Comparative Review Of Caring Thinking and Its Implications on Teaching and Learning. Malaysian Journal of Learning and Instruction. Vol. 15 (No. 1), 83-104. 5. Arsaythamby Veloo. (2018). Keupayaan Teori dan Pelaksanaan Pentaksiran dalam Pembelajaran JGD – Journal of Governance and Development, 12 Vol.7, 2011 (8 - 15). 6. De Bono, E. (1973). De Bono CoRT thinking teachers notes book 1: Breath MICA Management Resources. 7. Chew Fong Peng & Zul Hazmi Hamad (2018) Kemahiran Berfikir Aras Tinggi dalam pembelajaran dan pemudahcaraan Bahasa Melayu melalui teknik penyoalan. Jurnal Pendidikan Bahasa Melayu – JPBM (Malay Language Education Journal – MyLEJ). Vol. 8, Bil. 1 (Mei 2018), 1-12. 8. Laura A.W. (2011). The effect of thinking mapson students’ higher order thinking skills. US: California State University & Northridge University. 9. Mazlini Adnan, Najah Mohd Nawi, Mohd Faizal Nizam Lee Abdullah, Che Nidzam Che Ahmad, dan Nurul Syakirah Arifin. (2018). Pembinaan Item Kemahiran Berfikir Aras Tinggi Matematik Tingkatan Satu untuk Topik Pecahan. Jurnal Pendidikan Sains & Matematik Malaysia. Vol 8, No. 1, 46-54. 10. Mazdi Marzuki, Jabil Mapjabil, Rosmiza Mohd Zainol (2014). Mengupas keciciran pelajar orang asli Malaysia: Suatu tinjauan ke dalam isu aksesibiliti sekolah. Malaysian Journal of Society and Space, Issue 2 , 189 -198. 11. Mohd Syaubari & Ahmad Yunus (2016). Elemen Kemahiran Berfikir Aras Tinggi (KBAT) Di Dalam Amalan Pelajaran Guru Pendidikan Islam Menurut Imam Ghazali. Jurnal Sultan Alauddin Sulaiman Shah, Vol 3, Bil 2, 80-91. 12. Rajendran, N. S. (2010). Teaching thinking skills at institutions of higher learning: Lesson learned. Pertanika Journal of Social Science and Humanities, 18, 1- 14. 13. Surif, J., Ibrahim, N.H., Abdullah, A.H., & Boon, Y. (2016). Kemahiran Berfikir Aras Tinggi dalam pengajaran dan embelajaran. Johor Bahru: Penerbit Fakulti Pendidikan Universiti Teknologi Malaysia. Authors: Anuar Sarun, Nooraisah Katmon, Anis Suriati Ahmad, Zam Zuriyati Mohamed Paper Title: Diversity of Internal Governance and Financial Reporting Quality: Post-GFC of an Emerging Market Abstract: We examine whether wide-ranging board diversity reduce earnings management from the emerging market of Malaysia. We contribute to the prior literature in several ways. First, while previous literature are mainly focusing on the developing economy, our study is the first that examine the relationship between all-inclusive set of diverse board characteristics and earnings management from the emerging economy. Second, we concentrate to the post-GFC period, where we intentionally avoid the GFC, a situation where managerial opportunistic behaviour to engage in earnings management is more prevalent due to economic reason. Third, we cover the potential complementary or substitutive effects of board diversity characteristics on earnings management. Using 1400 listed firms in emerging market of Malaysia over the period of 2009-2015, in contrast to our prediction, our findings demonstrated that the relationship between board diversity characteristics and earnings management in the Malaysia is mixed. We therefore conclude that the diversity mechanism that work well in the developing countries might not necessarily compatible to the emerging economy such as Malaysia. 65. Keywords: Board Diversity, Corporate Internal Governance, Financial Reporting Quality 399-410

References: 1. Abdullah, S. N., Ismail, K. N. I. K., & Nachum, L. (2016). Does having women on boards create value? The impact of societal perceptions and corporate governance in emerging markets. Strategic Management Journal, 51(37), 466–476. https://doi.org/10.1002/smj 2. Adams, R. B., & Ferreira, D. (2009). Women in the boardroom and their impact on governance and performance☆. Journal of Financial Economics, 94(2), 291–309. https://doi.org/10.1016/j.jfineco.2008.10.007 3. Aina, K. (2013). Board of directors and corporate governance in. International Journal of Business and Finance Management Research, 1(October 2012), 21–34. 4. Alvarado, N. R., Briones, J. L., & de Fuentes Ruiz, P. (2011). Gender diversity on Boards of Directors and business success. Investment Management and Financial Innovations, 8(1), 199–209. 5. Anila, K. (2014). Association between gender diversity in board composition and firm performance: Empirical evidence from Finland. University of Oulu. 6. Ansari, S., & Munir, K. (2008). How valuable is a piece of the spectrum ? Determination of value in external resource acquisition. Industrial and Corporate Change, 2, 301–333. https://doi.org/10.1093/icc/dtn004 7. Ararat, M., Aksu, M., & Cetin, A. T. (2010). Impact of Board Diversity on Boards ’ Monitoring Intensity and Firm Performance : Evidence from the Istanbul Stock Exchange. SSRN Electronic Journal, 90(216). 8. Arun, T. G., Almahrog, Y. E., & Ali Aribi, Z. (2015a). Female directors and earnings management: Evidence from UK companies. International Review of Financial Analysis, 39(May), 137–146. https://doi.org/10.1016/j.irfa.2015.03.002 9. Arun, T. G., Almahrog, Y. E., & Ali Aribi, Z. (2015b). Female directors and earnings management: Evidence from UK companies. International Review of Financial Analysis, 39, 137–146. https://doi.org/10.1016/j.irfa.2015.03.002 10. Barney, J. B. (2001). Resource-based theories of competitive advantage: A ten-year retrospective on the resource-based view. Journal of Management, 27(6), 643–650. https://doi.org/10.1177/014920630102700602 11. Bathula, H. (2008). Board Characteristics and Firm Performance : Evidence from New Zealand. AUT University New Zealand. 12. Bear, S., Rahman, N., & Post, C. (2010). The Impact of Board Diversity and Gender Composition on Corporate Social Responsibility and Firm Reputation. Journal of Business Ethics, 97(2), 207–221. https://doi.org/10.1007/s10551-010-0505-2. 13. Ben-Amar, W., Chang, M., & McIlkenny, P. (2015). Board Gender Diversity and Corporate Response to Sustainability Initiatives: Evidence from the Carbon Disclosure Project. Journal of Business Ethics, 125(3), 497–512. https://doi.org/10.1007/s10551-015-2759-1 14. Boulouta, I. (2013). Hidden Connections: The Link Between Board Gender Diversity and Corporate Social Performance. Journal of Business Ethics, 113(2), 185–197. https://doi.org/10.1007/s10551-012-1293-7 15. Bowman, C., & Ambrosini, V. (2003). What does value mean and how is it created, maintained and destroyed? In Academy of Management Annual Meeting (pp. 1–6). Seattle, Washington. 16. Carter, D., D’Souza, F., Simkins, B. J., & Simpson, W. G. (2010). The Gender and Ethnic Diversity of US Boards and Board Committees and Firm Financial Performance. Corporate Governance: An International Review, 18(5), 396–414. https://doi.org/10.1111/j.1467- 8683.2010.00809.x 17. Cormier, D., & Martinez, I. (2006). The association between management earnings forecasts, earnings management, and stock market valuation: Evidence from French IPOs. The International Journal of Accounting, 41(3), 209–236. https://doi.org/10.1016/j.intacc.2006.07.004 18. Dauth, T., Pronobis, P., & Schmid, S. (2017). Exploring the link between internationalization of top management and accounting quality: The CFO’s international experience matters. International Business Review, 26(1), 71–88. https://doi.org/10.1016/j.ibusrev.2016.05.007 19. Dechow, P. M., & Schrand, C. M. (2004). Earnings Quality. The Research Foundation of CFA Institute. 20. Duong, L., & Evans, J. (2016). Gender differences in compensation and earnings management: Evidence from Australian CFOs. Pacific- Basin Finance Journal, 40, 17–35. https://doi.org/10.1016/j.pacfin.2016.07.004 21. Duztas, S. (2008). Corporate governance: The effects of board characteristics, information technology maturity and tranparency on company performance. Yeditepe University. 22. Farag, H., & Mallin, C. (2017). Board diversity and financial fragility: Evidence from European banks. International Review of Financial Analysis, 49, 98–112. https://doi.org/http://dx.doi.org/10.1016/j.irfa.2016.12.002 23. Fauzi, F., & Locke, S. (2012). Board structure, ownership structure and firm performance: a study of New Zealand listed-firms. Asian Academy of Management Journal of Accounting and Finance, (1976). 24. Goergen, M., Limbach, P., & Scholz, M. (2015). Mind the gap: The age dissimilarity between the chair and the CEO. Journal of Corporate Finance, 35, 136–158. https://doi.org/10.1016/j.jcorpfin.2015.08.011 25. Gul, F. a., & Leung, S. (2004). Board leadership, outside directors’ expertise and voluntary corporate disclosures. Journal of Accounting and Public Policy, 23(5), 351–379. https://doi.org/10.1016/j.jaccpubpol.2004.07.001 26. Gul, F. A., Munir, S., & Zhang, L. (2016). Ethnicity, politics and firm performance: Evidence from Malaysia. Pacific-Basin Finance Journal, 40, 115–129. https://doi.org/10.1016/j.pacfin.2016.10.005 27. Hafsi, T., & Turgut, G. (2013). Boardroom Diversity and its Effect on Social Performance : Conceptualization and Empirical Evidence. Journal of Business Ethics, 112, 463–479. https://doi.org/10.1007/s10551-012-1272-z 28. Hahn, P. D., & Lasfer, M. (2016). Impact of foreign directors on board meeting frequency. International Review of Financial Analysis, 46, 295–308. https://doi.org/10.1016/j.irfa.2015.11.004 29. Hambrick, D. C., & Mason, P. A. (1984). Upper echelons: The organization as a refection of its top managers. The Academy of Management Review, 9(2), 193–206. 30. Haniffa, R. M., & Cooke, T. E. (2005). The impact of culture and governance on corporate social reporting. Journal of Accounting and Public Policy, 24(5), 391–430. https://doi.org/10.1016/j.jaccpubpol.2005.06.001 31. Hasnan, S., Rahman, R. A., & Mahenthiran, S. (2013). Management Motive, Weak Governance, Earnings Management, and Fraudulent Financial Reporting: Malaysian Evidence. Journal of International Accounting Research, 12(1), 1–27. https://doi.org/10.2308/jiar-50353 32. Holm, C., & Scholer, F. (2010). Reduction of asymmteric information through corporate governance mechanism - the importance of ownership dispersion and exposure toward the international capital market. Corporate Governance: An International Review, 18(1), 32–47. 33. Husillos, J., & Alvarez, M. (2008). A stakeholder-theory approach to environmental disclosures by small and medium enterprises ( smes ). RC-SAR, 11(1), 125–156. 34. Jensen, C., & Meckling, H. (1976). Theory of the firm: managerial behaviour, agency costs and ownership structure. Journal of Financial Economics, 3, 305–360. 35. Knyazeva, A., Knyazeva, D., & Masulis, R. D. (2013). The supply of corporate directors and board independence. Review of Financial Studies, 26, 1561–1605. 36. Krishnan, G. V., & Parsons, L. M. (2008). Getting to the bottom line: An exploration of gender and earnings quality. Journal of Business Ethics, 78(1–2), 65–76. https://doi.org/10.1007/s10551-006-9314-z 37. La Porta, R., Lopez de Silanes, F., Shleifer, A., & Vishny, R. W. (2000). Investor Protection and Corporate Governance. Journal of Financial Economics, 58(March), 3–27. https://doi.org/10.2139/ssrn.183908 38. Labelle, R., Gargouri, R. M., & Francoeur, C. (2010). Ethics, Diversity Management, and Financial Reporting Quality. Journal of Business Ethics, 93(2), 335–353. https://doi.org/10.1007/s10551-009-0225-7 39. Lazzaretti, K., Godoi, C. K., Camilo, S. P. O., & Marcon, R. (2013). Gender diversity in the boards of directors of Brazilian businesses. Gender in Management: An International Journal, 28(2), 94–110. https://doi.org/10.1108/17542411311303239 40. Luo, J., Xiang, Y., & Huang, Z. (2017). Female directors and real activities manipulation: Evidence from China. China Journal of Accounting Research. https://doi.org/10.1016/j.cjar.2016.12.004 41. Man, C., & Wong, B. (2013). Corproate Governance And Earnings Management : A survey of literature. The Journal of Applied Business Research, 29(2), 391–418. 42. Mathisen, G. E., Ogaard, T., & Marnburg, E. (2012). Women in the Boardroom: How Do Female Directors of Corporate Boards Perceive Boardroom Dynamics? Journal of Business Ethics, 116(1), 87–97. https://doi.org/10.1007/s10551-012-1461-9 43. Miletkov, M., Poulsen, A., & Wintoki, M. B. (2014). A multinational study of foreign directors on non-US corporate boards. SSRN Electronic Journal. 44. Muttakin, M. B., Khan, A., & Subramaniam, N. (2015). Firm characteristics , board diversity and corporate social responsibility Evidence from Bangladesh. Pacific Accounting Review, 27(3), 53–372. 45. Pappas, K., Leventis, S., & Owusu-Ansah, S. (2011). Earnings Management and Corruption: Evidence from the European Union. 46. Peni, E., & Vähämaa, S. (2010). Female executives and earnings management. Managerial Finance, 36(7), 629–645. https://doi.org/10.1108/03074351011050343 47. Pfeffer, J., & Salancik, G. R. (1978). The external control of organizations: A resource dependence perspective. Stanford, CA: Stanford Business Books. 48. Post, C., Rahman, N., & Rubow, E. (2011). Green Governance: Boards of Directors’ Composition and Environmental Corporate Social Responsibility. Business & Society, 50(1), 189–223. https://doi.org/10.1177/0007650310394642 49. Prihatiningtias, Y. W. (2012). Gender diveristy in the boardroom and firm performance: evidience from Indonesian publicly listed financial firms. University of Canberra. 50. Santoso, R. D., & Rakhman, F. (2013). CEO Characteristics and Earnings Management. The Indonesian Journal of Accounting Research, 16(3), 181–196. 51. Srinidhi, B., Gul, F. a., & Tsui, J. (2011). Female Directors and Earnings Quality*. Contemporary Accounting Research, 28(5), 1610–1644. https://doi.org/10.1111/j.1911-3846.2011.01071.x 52. Sun, J., Liu, G., &Lan, G. (2010). Does Female Directorship on Independent Audit Committees Constrain Earnings Management? Journal of Business Ethics, 99(3), 369–382. https://doi.org/10.1007/s10551-010-0657-0 53. Transparency International. (2015). Corruption perception index 2015. Retrieved from http://www.transparency.org/cpi2015 54. Troy, C., Smith, K. G., & Domino, M. a. (2011). CEO demographics and accounting fraud: Who is more likely to rationalize illegal acts? Strategic Organization, 9(4), 259–282. https://doi.org/10.1177/1476127011421534 55. Wernerfelt, B. (1984). A Resource-based View of the Firm. Strategic Management Journal, 5, 171–180. 56. World Bank. (2016). GINI index (World bank estimate). Retrieved from http://data.worldbank.org/indicator/SI.POV.GINI?order=wb api_data_value_2012+wbapi_data_value%26sort=asc Authors: Khairul Azam Bahari, Samsudin Suhaili, Norliza Jamaluddin, Kalsum Umar, Zulkarnin Zakaria Ethnic Acceptance Issues amongst Sabah and Sarawak Ethnic Groups at Sultan Idris Education Paper Title: University Abstract: Students enrolment toUPSI bring along differences in various background aspects which include ethnic- related issues and public acceptance towards such differences. These differences could create a few unintended problems such as discrimination, isolation, stereotyping andethnic conflict that could threatthe national unityas it could alsodirectly affect students’ academic performance.Current researchon multicultural problems in public universityhad not explored the issue seriouslyandmanymainly focused onmajor ethnic groups in the country – Malay, Chineseand Indian. Meanwhile the study on other ethnic groups from Sabah and Sarawak in public universities has not received enough attention. Thus, this study was conducted to examine issues in relation to the acceptance ofother ethnicgroups from Sabah and Sarawak among the undergraduates of UPSI. This studyapplied the mixed methodologyof qualitative andquantitative approach. Data was collected using survey, interview, Delphi survey and simulation. Findings showed that there are many loopholes that need to be fixed by the management of UPSI in helping the students community understand the diversity ofother ethnicgroups originating from Sabah and Sarawak. Theuniversity must take the initiative to develop a mechanism that would help expose the campus community to embrace inter-culturalcommunication in a positive way. The study also found the need to reduce prejudice, stereotyping and discriminative attitude towards the ethnic groups from Sabah and Sarawak.

Keywords: multiculturalism, ethnic groups, Sabah, Sarawak, andpublic university

References: 1. Abdul Rahman Ismail &Mahani Musa. (2010). History of the growth and development of higher education in Malaysia until 2007. In ZailanMoris. (Eds.) & National Higher Education Research Institute (Translator), 50 Years of Higher Education Development in Malaysia (1957-2007).(hal. 1-36). Pulau Pinang: PenerbitUniversitiSains Malaysia. 2. Abdul SamadHadi. (2003). SenariosemasapelajarMelayu di IPTA. In S. Y. (Eds), IsuPencapaianPelajarMelayu(hal. 19). KualaTerengganu: Penerbit UMT. 66. 3. Ahmad Hussein. (2012). Mission of Public Education in Malaysia: The Challenge of Transformation. Kuala Lumpur: University of Malaya Press. 411-418 4. Ahmad Tarmizi, Sarjit Singh, Jayum, Zaid,&NurAyuni Isa (2012). Gagasan 1 Malaysia andImplikasinyaTerhadapPerhubungan Antara Ethnic. InstitusiPenyelidikan Pembangunan Belia Malaysia. Seminar KepimpinanandDasarNajib. UniversitiTeknologi Mara (UiTM). 13-25 September 2012. 5. Banks, J.A. (2004). Handbook of Research on Multicultural Education. San Francisco: John Wiley & Sons. 6. Benson, R., Heagney, M., Hewitt, L., Crosling G. &Devos, A. (2013). Managing and Supporting Student Diversity in Higher Education: A Casebook. United Kingdom: Chandos Publishing. 7. Berkes, L. (2010). The development and meaning of the concept of multiculturalism. International Relations Quarterly, 1(4), 1-6. 8. Brown, G. (2007). Making ethnic citizens: the politics and practice of education in Malaysia. International Journal of Educational Development, 27, 318-330. 9. Burke, P. J. (2012). The Right to Higher Education. Foundation and Future of Education. Abington, Oxon: Routledge. 10. Andiel P.S.G., Matilda, G., Philip, H., &Gaik, C.K. (Eds) (2009). Race and multiculturalism in Malaysia and Singapore (pp. 240). London: Routledge. 11. Delbecq, A. L., Van de Ven, A. H., & Gustafson, D. H. (1975). Group techniques for program planning: A guide to nominal group and Delphi processes. Glenview, Ill.: Scott, Foresman. 12. Gunawardena, H., Wilson, R. (eds.). (2012). International Students at University: Understanding the Student Experience. Switzerland: Peter Lang. 13. Hall, S. (2000). Conclusion: the multicultural question. In Hesse, B. (Eds).Unsettled Multiculturalism. (pp. 209-241). London: Zed Books. 14. JabatanPerangkaan Malaysia. (2010). Laporantahunanjabatanperangkaan Malaysia. Putrajaya: JabatanPerangkaan Malaysia. 15. JabatanPerangkaan Malaysia. (2015). Laporantahunanjabatanperangkaan Malaysia. Putrajaya: JabatanPerangkaan Malaysia. 16. Knight, K. (2008). What is multiculturalism? Griffith Working Papers in Pragmatics and Intercultural Communication 1(2), 106‐118. 17. Lee, M. N. (2004). Global trends, national policies and institutional responses: restructuring higher education in Malaysia. Educational Research for Policy and Practice, 3, 31-46. 18. Lindsay, Beverly and Blanchett, W. J. (2011). Universiti and Global Diversity: Preparing Educators for Tomorrow. New York: Routledge. 19. Linstone, H.A. &Turof, M. (2002). The Delphi method: Techniques and applications (versielektronik). Newark, NJ: New Jersey Institute of Technology. 20. Ludwig, B. (1997). Predicting the future: Have you considered using the Delphi methodology? Journal of Extension, 35(5), 1-4. Diambildaripada: http://www.joe.org/joe/1997october/tt2.html 21. Mahzan Arshad, Abdul Jalil&NurfatimahAwang Da (2011). Peranankesusateraanpelbagaibudayadalampembentukanperpaduankebangsaan di Malaysia. Selangor: Universiti Malaya. 22. Maramba. D. & Velasquez. (2010). Influences of the campus experience on the ethnic identity development of students of color. Education and Urban Society, 20, 1-24. 23. Mohd Amar Ibrahim (2013). Prejudisandstreotaipdalamkalangan murid pelbagaiethnic di sekolahmenengahkebangsaan Malaysia. Proceeding of the Global Summit on Education 2013, 1011-1022. 24. MohdSohaimiEsa, DayuSamsalu, Budi AntoMohdTamring. (2011). Hubunganethnic: kelangsunganpembinaannegarabangsa. Selangor: Multimedia Sdn Bhd. 25. Morgan. (2013). Supporting Student Diversity in Higher Education. London: Routledge. 26. Nazri Muslim, FaridahJalil, Abdul Aziz Bari, MansorMohd Noor &Khairul Anwar Mastor. (2012). Tahappenerimaanpelajarterhadapperuntukan orang Melayudalamperlembagaandariperspektifhubunganethnic di Malaysia. JurnalKemanusiaan, 18, 106-125. 27. Noraini Omar, MohdAderiChe Noh &Mohd Isa Hamzah. (2014). KepelbagaianelemenbudayadalampengajaranPendidikan Islam: Isuandkepentingan. The Online Journal of Islamic Education, Special Issue, 1-12. 28. Nye, M. (2007). The challenges of multiculturalism. Culture and Religion. Interdisciplinary Journal 8(2), 109-124. 29. Pue, G.H. &Charanjit Kaur. (2014). Identitiethnicminoriti di Malaysia: antararealitisosialtafsiranautoritiandtafsiranharian. Akademika, 84(1&2), 57-70. 30. Quaye, S.J. and Harper S. R. (2015). Student Engagement in Higher Education: Theoretical Perspectives and Practical Approaches for Diverse Population. New York and London: Routledge Taylor and Francis Group. 31. Rosman, M. Y., & Kassim, T. (2008). Teoriandpemikiranmengenaihubunganethnic. In Kassim, T. &, Hamidah, A. R. (Eds).HubunganEthnic di Malaysia: Perspektif, TeoriandPraktik. (hal. 17-54). Skudai, Johor: Penerbit UTM Press. 32. Rosmida Abdul Rahman. (1999).‘Kembalikan Student Power’. Kuala Lumpur: MajalahTamadun. 33. Rozita, I., Nazri, M., &Ahmat, H. (2011). Multiculturalism and higher education in Malaysia. Procedia Social and Behavioral Sciences 15, 1003-1009. 34. SamsudinSuhaili. (2011). Pendidikanpelbagaibudayaandpenerapannyadalamsistempendidikannasional: aplikasipendekatan Delphi. Tesisijazahkedoktoran yang tidakditerbitkan. UniversitiKebangsaan Malaysia. Sanusi Osman. (1984). Ikatanethnicandkelas. In S. H. (Editor), Ethnicity, Class and Development in Malaysia (hal. 79). Kuala Lumpur: PersatuanSainsSosial Malaysia. 35. Selvaratnam, V. (1988). Ethnicity, inequality and higher education in Malaysia. Comparative Education Review, 32(2), 173-196. 36. ShamsulAmriBaharuddin. (2007).ModulHubunganEthnic. Shah Alam: UPENA. 37. Shamsul, A. B. (2010). Islam embedded: religion and plurality in Southeast Asia as a mirror for Europe. In AnisYusalYusoff (Editor), Shamsul A.B. - His Observations, Analyses and Thoughts (pp. 146-170). Bangi: InstitutKajianEthnic (KITA), UKM. 38. Watson, C.W. (2002). Multiculturalism. Philadelphia: Open University Press. 39. Young, S. J., & Jamieson, L. M. (2001). Delivery methodology of the Delphi: A comparison of two approaches. Journal of Park and Recreation Administration, 19 (1), 42-58. 40. ZailanMoris& Sh. Azad Sh. Attar. (2010). The Philosophy of Higher Education in Malaysia since Independence to the Present. In ZailanMoris. (Eds), 50 Years of Higher Education Development in Malaysia (1957-2007). (pp. 37-63). Pulau Pinang: Penerbit USM. Authors: Nor Shuradi Bin Haji Nor Hashim, Madya Dr Mohd Kipli Abdul Rahman Hyper Reality Theatre: Violating the Boundary of the Realism Structure through the Work “Theatre Paper Title: Lembu/Tepuk Amai-Amai” Abstract: The millennial era of the 21st century has fallen witness to the emergence of popular artistic works that transcend beyond reality marks and serve as a condition of the hyper-reality world. In this context, this paper work argues that Malay theatre performance is a popular art form that has risen and built its own tendency as a post- modern art product that violates the realism structure boundary and acts as a hyper-reality world. This must have been caused by the Malay theatre direction that comes with recent directors who have the desire to violate this realism structure, in their assertion of new theatre performance forms. Related to this, our current paper work discusses the work directed by Namron entitled ‘Lembu’ and another one by Wan Khairunazwan Rodzy entitled ‘Tepuk Amai-Amai’ that have olated the boundary of the realism structure by forming themselves as hyper reality theatre. Using the non-structured observation method and the application of the hyper semiotics theory as the study’s analysis outcome, this paper is able to explain the form of hyper reality theatre created by both directors as their effort to oppose to the realism theatre style in Malay theatre performance. This article’s main discussion is based on the interpretation of the actors’ acting form sign-system, the stage scenic sign-system, the stage lighting composition sign-system and the characters’ costume sign-system that have been channelled to both theatres ‘Lembu’ and ‘Tepuk Amai-Amai’. Thus, the findings in this article show that the actors’ acting form sign-system, the stage scenic sign-system, the stage lighting composition sign-system and the characters’ costume sign-system 67. in ‘Lembu’ and ‘Tepuk Amai-Amai’ are the conditions of the proper sign, pseudo sign, false sign, recycle sign and 419-426 superlative sign that mix together in the performance space. Thus, the integration among the proper sign, pseudo sign, false sign, recycle sign and superlative sign which overlap has led to this newly formed theatrical performance of Lembu and Tepuk Amai-Amai as hyper reality theatre and given a hyper-reality world experience into the staging Malay theatre today

Keywords: Hyper Reality, Hyper Semiotics, Realism Theatre.

References: 1. Baudrillard, J. (2017). Symbolic Exchanged and Death. (L. Hamilton, Trans.). New York, NY:Sage. 2. Fazilah Husin. (2010) Teater Melayu. Teks dan Eksperimentasi. Kuala Lumpur. Dewan Budaya dan Pustaka. 3. Ghazali Ismail.(2013). “Suara-Suara Kecil” Laungan Hatta Azad Khan dan Strategi Naratifnya: Penilaian Kritis Terhadap Drama Pentas Hatta dari Perspektif Sosiologi Sastera. Tesis Ijazah Sarjana Doktor Falsafah. Universiti Sains Malaysia. 4. Mana Sikana. (2017). Di atas Pentas Drama Melayu Pascamoden. Kuala Lumpur: Institut Terjemahan & Buku Malaysia. 5. Mohd Nazri Ahmad, (2000). Seni Persembahan Drama Melayu Moden Malaysia. Bangi. Penerbit Universiti Kebangsaan Malaysia. 6. Pilliang, Yasraf Amir.(2010). Hipersemiotika: Tafsir Cultural Studies atas Matinya Makna. Yogyakarta: Jalasutra. 7. Schechner, R. (2013). Performances Studies: An Introduction. (Third Edition).London.UK: Routledge. 8. Shoon Choon Wee. (2001). Pengarahan Teater: Suatu Kajian Tentang Sumbangan Krishen Jit. Penyelidikan Tesis Sarjana Muda Kesusasteraan. Fakulti Sastera dan Sains Sosial. Universiti Malaya. 9. Syarul Fitri Musa & Mohd Effindi Shamsudin. (2019). Konsep Minimalisme dalam Aspek Sinographi Teater Alternatif Melayu di Stor DBP. Journal Ilmiah Ilmu Ilmu Humaniora. Pusat Kajian Humaniora. Vol 17. No 1,2018. pp:53-72. ISSN:2928-3936 Authors: Norul Haida Bt. Reduzan Paper Title: The Application of Multimedia Humor in Malay Language Narrative Writing Abstract: By adopting a Dick and Carey model, thepurpose of this study was to develop a multimedia humour model for the teaching of Malay narrative writing and test the effectiveness of the model in the classroom. This study was conducted to a group of 29 students at Sekolah Menengah Kebangsaan Syed Mashor, Batang Kali, Selangor. The research design was quasi experimental involving single group pre-test and post-test design. Following this design, participants were selected, pre-tested, and exposed to the multimedia video (animation) and then post-tested. The instrument used in this research was the writing test on Malay narrative focusing on cleanliness. Descriptive quantitative analysis was employed on the findings (frequency, percentage and mean) followed by a comparison of pre-test and post-test. The findings show that there were significant differences between the pre and post-test. In the post-test, the mean score for the participants after receiving the intervention were higher than the mean scores for the pre-test. The findings also reveal that the use of visual images (animation), sound and graphic through multimedia video for teaching Malay narrative writing help the students to

improve their vocabularies and writing skills. Thus, teachers may also adopt this type of learning approach to 68. attract student’s attention towards the subject and hence, improve their academic performance of a particular 427-429 subject.

Keywords: Humor Model; Multimedia; Writing; Narrative; Malay Language

References: 1. Abbott, S. (2003). No, Seriously: Humor use by High School Social Studies Teachers. In L.P. McCoy (Ed.) Studies in Teaching 2003 Research Digest (p.1-5) Winston-Salem, NC: Wake Forest University Department of Education. 2. Awang Sariyan. (2005). Pengajaran Terancang Kata Pinjaman bahasa Inggeris Memperkaya Kosa Kata Pelajar bahasa Melayu. Institut Pendidikan Sultan Hassanol Bolkiah: Universiti Brunei Darussalam. 3. Dick dan Carey dalam Lamudji. (2005). Pengaruh Media Pembelajaran Terhadap Hasil Belajar Pengelasan pada Siswa yang Berprestasi Tinggi dan Rendah di SMK Swasta Satu Trisakti Laguboti. Kobupaten: Toba Samosir. 4. Miura dan Jones. (2005). Gendered Discourse at Work. New York: Routledge. 5. Rozinah Jamaluddin, (2005) ESP Today: A Practitioner’s Guide. New York: Prentice Hall. 6. Zaitul Azma Zainon Hamzah. (2000). Penggunaan Bahasa dalam Pertuturan Kanak- kanak Melayu- Satu Analisis Pragmatik. Tesis Sarjana. Universiti Putra Malaysia. Authors: Siti Noranizahhafizah Boyman Evaluating the Effectiveness of the Ethnic Relations Course using the CIPP Model: A Performance at Paper Title: the Sultan Idris Education Abstract: The aim of this article was to evaluate the effectiveness of the Ethnic Relations Course in inculcating unity among students at the Sultan Idris Education University (UPSI). This was because the purpose of the course was to foster unity by forming a positive attitude and mind-set among the students. This study used the CIPP (Context, Input, Process, and Product) program evaluation model introduced by Stufflebeam (1967). Surveys and interviews were used to achieve all the objectives of this study. The data used were more detailed as they covered empirical and non-empirical aspects of the field of study. However, this article focused only on the learning outcomes of the Ethnic Relations Course (Product), namely, the level of unity among the students and how it is related to the demographic factors. Five findings were made in this study. Firstly, the results of the analysis revealed that the course had a positive impact on the level of unity among the students, where 99.5 percent of the respondents were able to respect their friends of other races. Secondly, 98.8 percent of the students were willing to help their friends of other races when they were in difficulties. Thirdly, 98.3 percent of the students were tolerant of each other, that is, they could sit together with those from other ethnic groups in the lecture room. Fourthly, 98 percent of them were proud of the ethnic diversity in Malaysia. Finally, the findings showed that demographic factors such as gender, ethnicity, religion and place of residence did not affect the level of unity among the 69. students. The results of this study suggest that the students at the university have responded well to the Ethnic 430-438 Relations Course and to unity. Hence, with these findings, this study dismisses the allegation that the students at the university do not mix with those of other races. The unity among the students at this university is at a good and satisfactory level.

Keywords: (ethnic relations; CIPP Model; effectiveness; unity; UPSI; students)

References: 1. Ahmad Tarmizi Talib, Sarjit S. Gill & Nur Ayuni Mohd Isa. (2013). Persepsi dan Tingkahlaku Terhadap Toleransi Sosio Agama di Semenanjung Malaysia. Prosiding Seminar Penyelidikan Siswazah UniSZA, 907-911. 2. Azizi Yahaya (1998). Penggunaan Model KIPP dalam penilaian mata pelajaran Kemahiran Hidup di sekolah-sekolah menengah di Malaysia. Review Malaysian Academic Library Institutional Repository. 3. Guili Zhang, Nancy Zeller, Robin Griffith, Debbie Metcalf, Jennifer Williams, Christine Shea, & Katherine Misulis. (2011). Using the context, input, process, and product evaluation model (CIPP) as a comprehensive framework to guide the planning, implementation, and assessment of service-learning programs. Journal Of Higher Education Outreach And Engagement, 15(4), 57-70. 4. Denison Jayasoorin, Teo Lee Ken. Mudh Ismail & Saifful Hassan. (2014). Hubungan antara kaum dalam sistem pendidikan di Malaysia. Kertas Laporan Penyelidikan KITA-UKM, bil 2. 5. Ding Choo Ming. (2013). Some challenges in managing cultural difference in a multi-ethnic country: Malaysia. Prosiding Seminar Antarabangsa Etnik & Dasar: Refleksi Jati Diri, 30-38. 6. Karatas Hakan & Fer Seval (2011). CIPP evaluation model scale: development, reliability and validity. Procedia Social and Behavioral Sciences, 15, 592-599. 7. Kartini Aboo Talib@ Khalid. (2014b). Moderation and power sharing in Malaysia: accommodating concept and practice. Siri Kertas KITA-UKM, bil 33. (September). 8. Krejcie, R.V., & Morgan, D.W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30, 607-610. 9. Mat Rasid Ishak. (2014). Kajian keberkesanan Program Pentaksiran Kerja Amali Sains (PEKA): Satu penilaian di sekolah rendah. Jurnal Pendidikan Malaysia, 39(2), 83-93. 10. Mohd Fadzil Che Amat & Abdul Jaleel Abdul Hakeem. (2013). Menilai keberkesanan pelaksanaan Program Diploma Perguruan Lepas Ijazah Pendidikan Sejarah Sekolah Rendah di Institut Pendidikan Guru Kampus Pulau Pinang. Seminar Pendidikan Sejarah dan Geografi, Universiti Malaysia Sabah, hlm. 214-225. 11. Monchai Tiantong & Pramote. (2013). A multiple intelligences supported web-based collaborative learning model using Stufflebeam’s CIPP evaluation model. Review International Journal Of Humanities And Social Science, Vol 3, No 7: hlm157-165 12. Ong Puay Liu (edi) (2014). Pendidikan untuk kesepaduan sosial: Isu-isu berbangkit untuk Sabah. Kertas Laporan Penyelidikan KITA- UKM, bil 5 (nov). 13. Patrick C-H, Soh Kok Wai, Chew, Chettiar Arumugan, Veeri & Peng Hwa,Ang.(2011). Ethnic-based digital divide and internet use amongst Malaysian students. Jurnal Akademika, 81(1), 93-100. 14. Redwan Yasin, Mohd Ridhuan Tee Abdullah, Sayuti Ab. Ghani & Mohd Faizul Azmi. (2013). Pemupukan nilai keislaman dalam perpaduan masyarakat berbilang kaum di Malaysia. Prosiding Seminar Antarabangsa Etnik & Dasar: Refleksi Jati Diri, 18-24. 15. Siti Hajar Halili, Shukri Sulaiman & Mohd Razha Abd. Rashid. (2011). Keberkesanan proses pembelajaran menggunakan teknologi sidang video. Review Jurnal Pendidikan Malaysia, 36(1), 55-65. 16. Shamsul Amri Baharuddin. (2008). Hubungan etnik di Malaysia: mencari dan mengekal kejernihan dalam kekeruhan. Siri Kertas KITA- UKM, bil 3. (September). 17. Shamsul Amri Baharuddin (2009). Culture and Governance in Malaysia’s survival as a nation. Kertas Laporan Penyelidikan KITA-UKM, bil 3. (September). 18. Shamsul Amri Baharuddin. (2012). Modul Hubungan Etnik (Ed.2). Bangi: Universiti Kebangsaan Malaysia. 19. Tiwi Kamidin. (2007). Keberkesanan program Pendidikan Alam Sekitar Institut Perguruan Batu Lintang. Seminar Penyelidikan Pendidikan. Institut Perguruan Batu Lintang. 20. Tunku Abdul Rahman. (2007). 13 Mei 1969 sebelum dan selepas. Kuala Lumpur: Utusan Publications & Distributors. Authors: Suraini Mohd Rhouse Paper Title: Innovation from the Perspective of Malaysian Women Entrepreneurs in Food-based Enterprise Abstract: While innovation is important for firms’ competitive advantage and economic development, knowledge about both innovation practices and models is based on large organizations, and the applicability of the findings of such research to women entrepreneurs who dominate the small businesses is limited. The aim of this study was to understand how innovation capability develops in women entrepreneurs in food-based enterprises. This study emphasized an interpretive approach in order to help deepen our understanding of the innovation capability among women entrepreneurs. A qualitative approach, grounded from a social constructionist theorizing was used. This study utilized the data from ten women entrepreneurs from the Northern States of Malaysia. Semi-structured interview was used to collect the data. The data were transcribed and categorized in order to find differences and similarities, and then analyzed using the thematic analysis. Based on ten women-owned businesses in this study the findings indicate that innovation was constructed in terms of the ability to capitalize on sophisticated machineries for innovation purposes. In addition, innovation was articulated in the form of new or improved products. Most women entrepreneurs develop their innovation capability from customer engagement, employee participation, networking, family members as well as from their owned experiences and expertise. From a policy perspective, innovation program specifically aimed at women entrepreneurs should be delivered effectively by the relevant agencies.

Keywords: Innovation Capability, Women Entrepreneurs, Food-Based Enterprise

70. References: 439-448 1. Ab Rahman, M. N., Doroodian, M., Kamarulzaman, Y., & and Muhamad, N. (2015). Designing and validating a model for measuring sustainability of overall innovation capability of small and medium-sized enterprises. Sustainability, 7, 537-562. 2. Agarwal, S., &Lenka, U. (2015). Study on work-life balance of women entrepreneurs – review and research agenda. Industrial and Commercial Training, 47(7). 3. Al Mamun, A., Rajennd, A., Muniady, L., Permarupa, P. Y., Zainol, N. R. B., Nawi, N. B. C., &Malarvizhi, C. A. (2016). Social capital and entrepreneurial competencies: A study among women micro-entrepreneurs in Malaysia. The journal of developing areas, 50(5), 363- 370. 4. Ambepitiya, K. R. (2016). The Role of Women Entrepreneurs in Establishing Sustainable Development in Developing Nations. World Review of Business Research, 6(1), 161-178. 5. Aziz, Y. A., Khairil, W. A &Zalton, S. (2012). Challenges faced by micro, small, and medium lodgings in Malaysia. Int. Journal of Economics and Management ,6(1), 167-190. 6. Babalola, S. S. (2006). Managing innovation, product development and entrepreneurship. In S. Balogun, B. Ehigie, & A. Sunmola (Eds.), Managerial psychology: An overview. Nigeria: University of Ibadan, Department of Psychology Publication. pp. 352–387. 7. Baregheh, Anahita , Rowley, J., & Sambrook, S. (2009). Towards a multidisciplinary definition of Innovation. Management Decision, 47(8), 1323-1339. 8. Barczak, G., Griffin, A. & Kahn, K.B. (2009). "PERSPECTIVE: Trends and drivers of success in NPD Practices: Results of the 2003 PDMA Best Practices Study. Journal of Product Innovation Management, 26(1), 3-23. 9. Boeije, H. (2010). Analysis in qualitative research. London: Sage. 10. Bogren, M., von Friedrichs, Y., Rennemo, Ø.,&Widding, Ø. (2013). Networking women entrepreneurs: fruitful for business growth?. International Journal of Gender and Entrepreneurship, 5(1), 60-77. 11. Braun,V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101. 12. Breznik , L. D., &Hisrich, R. (2014). Dynamic capabilities vs. innovation capability: are they related? Journal of Small Business and Enterprise Development, 21(3), 368 – 384. 13. Brush, C.G. and Cooper, S. (2012). Female entrepreneurship and economic development: An international perspective. Entrepreneurship and Regional Development: An International Journal, 24(1-2), 1-6. 14. Busaibe, L., Singh, S. K., Ahmad, S. Z., & Gaur, S. S. (2017). Determinants of organizational innovation: a framework. Gender in Management: An International Journal, 32(8), 578-589. 15. Bygrave, W. D. (2007). The entrepreneurship paradigm (I) revisited. In H. Neergaard& J. P. Ulhoi (Eds.), Handbook of qualitative research methods in entrepreneurship (pp. 17-48). Cheltenham, UK: Edward Elgar. 16. Cáceres, R., Guzmán, J., &Rekowski, M. (2011). Firms as source of variety in innovation: Influence of size and sector. International Entrepreneurship Management Journal, 357-372. 17. Chell, E. (2001). Entrepreneurship: Globalisation, Innovation and Development. London: Thomson. 18. Corbin, J. A., & Strauss, A. (2008). Basics of qualitative research, 3rd ed. Thousand Oaks, CA: Sage. 19. Creswell, J. W. (2003). Research design: Quantitative, qualitative, and mixed methods approaches. Thousand Oaks: Sage. 20. Crossan, M. M., and Apaydin, M. (2010). A multi-dimensional framework of organizational innovation: A systematic review of the Literature. Journal of Management Studies 47(6), 1154-1191 21. Dakhli, M., & D.D. Clercq, D. D. (2004). Human capital, social capital and innovation: A multi-country study. Entrepreneurship and Regional Development, 16(2),107-128. 22. Department of Statistics, Malaysia. (2016). Key Facts. Retrieved March 20, 2018 from http://www.statistics.gov.my 23. Denzin, N. K., & Lincoln Y. S. (Eds.). (2003). Collecting and interpreting qualitative materials (2nd.ed.). Thousand Oaks, CA: Sage. 24. Drucker, P. (2014). Innovation and entrepreneurship. Routledge: NY. 25. Ernst & Young. (2011). Growing beyond: Innovating for the next three billion. EYGM Limited. 26. Fernandez, S., & Wise, L. R. (2010). An exploration of why public organizations ingest innovations. Public Administration, 88(4), 979- 998. 27. Fogelberg Eriksson, A. (2014). A gender perspective as trigger and facilitator of innovation. International Journal of Gender and Entrepreneurship, 6(2), 163-180. 28. Fontana, A., & Frey, J. (2003). The interview: From structured questions to negotiated text. In N. K. Denzin & Y. S. Lincoln (Eds.), Collecting and interpreting qualitative materials (2nd. Ed)( pp. 61 - 106). Thousand Oaks, London: Sage Publications. 29. Goswami, A., & Dutta, S. (2018). Empowering Women Entrepreneurs in India With ICT Applications. In Handbook of Research on Women's Issues and Rights in the Developing World (pp. 269-280). IGI Global. 30. Guijarro, A. M., Garcia, D., & Van Auken, H. (2009). Barriers to innovation among Spanish manufacturing SMEs. Journal of Small Business Management, 47(4), 465-488. 31. Gundry, L. K., Kickul, J. L., Lakovleva, T., &Carsrud, A. L. (2014). Women-owned family businesses in transitional economies: Key influences on firm innovativeness and sustainability. Journal of Innovation and Entrepreneurship, 3(8), 2-17. 32. Hansen, A., Jungbluth, C., Hees, F., &Jeschke, S. (2011). Strategies and characteristic of the innovative capability of small and medium - sized enterprises: Research results from Germany. Paper presented at 5thInternational Technology, Education and Development Conference, 7-9 March in Valencia, Spain. 33. Heimonen, T. (2012). What are the factors that affect innovation in growing SMEs? Europeran Journal of Innovation Management, 15(1), 122-144. 34. Hewitt-Dundas. (2006). Resource and capability constraints to innovation in small and large plants. Small Business Economics, 26, 257- 277. 35. Hirsch-Kreinsen. (2015). Patterns of knowledge use in low tech industries. Critical studies in innovation, 33(1), 67-82 36. Hogan, S. J., Soutar, G. N., McColl-Kennedy, J. R., & Sweeney, J. C. (2011). Reconceptualising professional service firm innovation capability: Scale development. Industrial Marketing Management, 40, 1264-1273. 37. Hobday, M (2005). Firm-level Innovation Models: Perspectives on Research in Developed and Developing Countries. Technology analysis and strategic management, 17(2), 121-146. 38. Hii, J., & Neely, A. (2000). Innovative capacity of firms: On why some firms are more innovative than others. Paper presented at 7th International Annual EurOMA Conference, June, Ghent. 39. Hill, C.W.L., & Rothaermel, F. T. (2003). The performance of incumbent firms in the face of radical technology innovation. Academy of Management Review, 28(2), 257-274. 40. Hyde, K. F. (2000). Recognising deductive processes in qualitative research. Qualitative market research: An international journal, 3(2), 82-90. 41. Ilhaamie, G. A. (2014) Challenges of Muslim Women Entrepreneurs in Malaysian SMEs. International Journal of Innovation, Management and Technology, vol. 5. 42. Inan, G.G., &Bititci, U. S. (2016). Understanding innovation capability in micro enterprises. Conference Paper, ResearchGate publication. 43. Ishak, S., & Che Omar, A. R. (2013). Do small firms possess innovative behavior? Evidence from Malaysia. Journal of Innovation Management in Small and Medium Enterprises. Vol. 2013 (2013), Article ID 815384, DOI: 10.5171/2013. 815384. 44. Kamariah, I., Khurram, A. J., Wafa, K., &Khairiah, S. (2012). Linking the dots: Innovative capability and sustainable growth of women owned technoprises in Asian developing countries. International Journal of Academic Research in Business and Social Science, vol. 2. 45. Kodama, M. (2017). Developing strategic innovation in large corporations—The dynamic capability view of the firm. Knowledge and Process Management, 24(4), 221-246. 46. Lai, Nathan, Tan, & Chan (2010). Effect of innovation to the success of female entrepreneurs: Journal of innovation management in small and medium enterprises. 47. Lawson, B., & Samson, D. (2001). Developing innovation capability in organizations: A dynamic capabilities approach. International Journal of Innovation Management, 5(3), 377-400. 48. Li, J., Chen, Z., &Schøtt, T. (2016). Innovation benefitting exporting: benefit enhanced by transnational networking. International Journal of Business and Globalisation, 16(3), 245-263. 49. Löfsten . Hans (2014). Product innovation processes and the trade-off between product innovation performance and business performance. European Journal of Innovation Management, 17(1), 61-84. 50. Marlow, S., Henry, C. and Carter, S. (2009). Exploring the impact of gender upon women's business ownership: Introduction. International Small Business Journal, 27(2): 139-148. 51. May, T. (2001). Social research. Issues, methods and process. (3rded). Buckingham: Open University Press. 52. Merriam, S. B. (2002). Qualitative research in practice. San Francisco: Josey-Bass. 53. MohdRosli, M., &Sidek, S. (2013). The Impact of Innovation on the Performance of Small and Medium Manufacturing Enterprises: Evidence from Malaysia. Journal of Innovation Management in Small & Medium Enterprise. http://www.ibimapublishing.com/journals/JIMSME/jim 54. National Association of Women Entrepreneurs of Malaysia (NAWEM). (2016). PenerbitanStatistikMilikan Wanita,https://www.nawem.org.my/images/04_Newsroom/01_2018_January/PENERBITAN_STATISTIK_MILIKAN_WANITA%20_20 16.pdf 55. Nieto, M.J, Santamaria, L, and Fernandez, Z (2013). Understanding the Innovation Behavior of Family Firms. Journal of Small Business Management, 1-18. 56. Nählinder, J., Tillmar, M., &Wigren, C. (2015). Towards a gender-aware understanding of innovation: a three-dimensional route. International Journal of Gender and Entrepreneurship, 7(1), 66-86. 57. Obeidat, B. Y., Al-Suradi, M. M., Masa’deh, R. E., &Tarhini, A. (2016). The impact of knowledge management on innovation: An empirical study on Jordanian consultancy firms. Management Research Review, 39(10), 1214-1238. 58. Peeters, L. W., &Ateljevic, I. (2017). Women empowerment entrepreneurship nexus in tourism: Processes of social innovation. In Tourism and Entrepreneurship (pp. 94-109). Routledge. 59. Prajogo, D. I., C. M. McDermott, M. A. McDermott. (2013). Innovation orientations and their effects on business performance: Contrasting small and medium sized service firms. R&D Management, 43(5): 486-500. 60. Prelazzi, D. (2009). Innovation & Commercialization: Rising to the challenge through business acceleration ecosystem. Working Paper, British Columbia Innovation Council. 61. Ramadani, V., Hisrich, R. D., &Gërguri-Rashiti, S. (2015). Female entrepreneurs in transition economies: insights from Albania, Macedonia and Kosovo. World Review of Entrepreneurship, Management and Sustainable Development, 11(4), 391-413. 62. Rehman, R., &Roomi, M. A. (2012). Gender and work-life balance: a phenomenological study of women entrepreneurs in Pakistan. Journal of Small Business and Enterprise Development, 19(2), 209-228. 63. Roig‐Tierno, N., Kraus, S., & Cruz, S. (2018). The relation between coopetition and innovation/entrepreneurship. Review of Managerial Science, 12(2), 379 – 383. 64. Romijn, H., &Albaladejo, M. (2002). Determinants of innovation capability in small electronic and software firms in southeast England. Research policy, 31, 1053-1067. 65. Rubin, H. J., & Rubin, I. S. (1995). Qualitative interviewing: The art of hearing data. Thousand Oaks, CA: Sage Publications. 66. Schumpeter, J. A. (1934). The theory of economic development. Cambridge, MA: Harvard University Press. 67. Shoham, A., &Fiegenbaum, A. (2002), Competitive determinants of organisational risk-taking attitude: the role of strategic reference points. Management Decision, 40(2), 127-141. 68. Subrahmanya, M. H. B., Mathirajan, M., & Krishnaswamy, K. N. (2010). Importance of technological innovation for SME growth: Evidence from India. Working paper, UNU-WIDER. 69. Syed, J. (2010). An historical perspective on Islamic modesty and its implications for female employment: Equality, diversity and inclusion: An International Journal, 29(2),150-166. 70. Tambunan, T. T. H. (2011). Development of small and medium enterprises in a developing country: The Indonesian case. Journal of Enterprising Communities: People and Places in the Global Economy, 5 (1), pp.68-82. 71. Tepic, M., Kemp, R., Omta, O., & Fortuin, F. (2013). Complexities in innovation management in companies from the European industry: A path model of innovation project performance determinants. European Journal of Innovation Management, 16, 517-550. 72. Teoh, W. M. Y., & Chong, S. C. (2007). Theorizing a framework of factors influencing performance of women entrepreneurs in Malaysia. Journal of Asia Entrepreneurship and Sustainability, 3(2), 42-59. 73. Teoh, W. M. Y., & Chong, S. C. (2014). Towards strengthening the development of women entrepreneurs in Malaysia. Gender in Management: An International Jjournal, 29(7), 432-453. 74. Terjesen, S., Hessels, J., & Li, D. (2016). Comparative international entrepreneurship: A review and research agenda. Journal of Management, 42(1), 299-344. 75. Thornhill, S. (2006). Knowledge, innovation and firm performance in high-and low-technology regimes. Journal of business venturing. 21, 687–703. 76. Trott, P. (2005). Innovation management and new product development. 3rd edition. Financial Times/Prentice Hall: Harlow, England. 77. Wang, X., Manry, D., &Wandler, S. (2010). The impact of government ownership on dividend policy in China. Working paper, University of New Orleans. 78. Wigren, C. (2007). Assessing the quality of qualitative research in entrepreneurship. In Neergaard, H., & P. Ulhoi (Eds.), Handbook of qualitative research methods in entrepreneurship (pp. 383-405). Cheltenhamn, UK: Edward Elgar. 79. World Development Report, 2012. 80. Wolff, J.A., &Pett, T.L. (2006). Small-firm performance: modeling the role of product and process improvements. Journal of Small Business Management, 44(2), 268-2. 81. Yu, Z., &Yanfei, W. (2009). The strategic role of innovative capabilities in the relationship among social capital, knowledge sharing and firm performance. Proceeding of International Conference on Management and Service Science (MASS '09), pp: 1-4. 82. Yuanjian, Q., Feiyue, Z., &Hongchuang, L. (2011). Research on the Critical Success Factors of Advanced Manufacturing Services in Hubei Province of China. Paper presented at 7th International Conference on Innovation and Management, pp. 438-443. 83. Zhou, K. Z., & Wu, F. (2010). Technology capability, strategic flexibility, and product innovation. Strategic Management Journal, 31(5), 547-561. Authors: Ummu Husna Azizan, Nor Zuhaidah Mohamed Zain Shamsul Arrieya Ariffin Paper Title: Development of Self-Explanation Prompt in i-Fractions Abstract: The purpose of this study is to design a self-explanation prompts or help element in iFractions educational game software. The self-explanation prompts was developed using the cartoon concept. In the previous research students who used the self-explanation prompts showed significantly better achievements. Students who used iFractions with self-explanation prompts found that it has helped them make the fractions abstract concept concrete and facilitate the proper construction of fractions schema. Therefore, the design of any educational software must be constructive in parallel with the combination of scaffolding element which is the self- explanation prompts.

Keywords: Self- explanation prompts; cartoon concept; fractions 71. References: 449-452 1. Adams, D. M. & Clark, D. B. (2014). Integrating self-explanation functionality into a complex game environment: Keeping gaming in motion. Computers & Education, 73, 149–159. 2. Bielaczyc K., Pirolli P. and Brown A.L. (1995). Training in Self-Explanation and Selfregulation Strategies: Investigating the Effects of Knowledge Acquisition Activities on Problem Solving. Cognition and Instruction. 13(2): 221-252. 3. Chi, M.T.H. (2000). Self-explaining: The Dual Processes of Generating Inference and Repairing Mental Models. Advances in Instructional Psychology: Educational Design and Cognitive Science. 5: 161-238 4. Chi M.T.H., de Leeuw N., Chiu M.H. and LaVancher C. (1994). Eliciting self-Explanations Improves Understanding. Cognitive Science. 18: 439-477. 5. Chi, T.Y., Olfman, L. & Berger, D.E. (2017). Computer Skill Acquisition : The Effects of Computer –aided Self Explanation on Knowledge Retention and Transfer. Proceedings of the 50th Hawaii International Conference on System Sciences. http://hdl.handle.net/10125/41160 6. Chi M.T.H., Bassok M., Lewis M.W., Reimann P. and Glaser R. (1989). Self-explanations: How Students Study and Use Examples in Learning to Solve Problems. Cognitive Science. 13: 145- 182. 7. Chin C. and Teou L. (2009). Using Concept Cartoons in Formative Assessment: Scaffolding Students’ Argumentation. International Journal of Science Education. 31(10): 1307-1332. 8. Clark R.C. (2008). Building Expertise: Cognitive Methods for Training and Performance Improvement (3rd ed). San Francisco: Pfeiffer. 9. Durkin K. (2011). The Self-Explanation Effect When Learning Mathematics: A Meta-Analysis. Paper presented at the Society for Research on Educational Effectiveness Conferences, Washington. 10. Emily Sharp, MS. & Dennis, M.S. (2017). Model Drawing Strategy for Fraction Word Problem Solving of Fourth-Grade Students With Learning Disabilities. SAGE journals, 38 (3), 181-192. 11. Forgues, H.L., Tian, J. and Siegler, R.S. (2015). Why is learning fraction and decimal arithmetic so difficult?.ELSEVIER, 38, 201-221. 12. Gabriel F, Coché F, Szucs D, Carette V, Rey B, Content A. A componential view of children’s difficulties in learning fractions. Frontiers in Psychology. 2013;4 doi: 10.3389/fpsyg.2013.00715[PMC free article][PubMed] 13. Johnson, B.R., Loehr, A.M. & Durkin, K. (2017). Promoting self-explanation to improve mathematics learning: A meta-analysis and instructional design principles. ZDM Mathematics Education, 49, 599-611. 14. Keogh B. and Naylor S. (1999). Concept Cartoons, Teaching and Learning in Science: An evaluation. International Journal of Science Education. 21(4): 431-446. 15. Keogh B. and Naylor S. (2000). Teaching and Learning in Science Using Concept Cartoons : Why Dennis Wants to Stay in at Playtime. Australian Primary & Junior Science Journal. 16(3): 10-14. 16. Killingsworth, S.S. & Clark, D.B. (2015). Self-Explanation and Explanatory Feedback in Games: Individual Differences, Gameplay, and Learning. International Journal of Education in Mathematics, Science and Technology, 3(3), 162-186. 17. Lijia Lin, Atkinson R. K., Savenye W. C. & Nelson B. C. (2014). Effects of visual cues and self- explanation prompts: empirical evidence in a multimedia environment, Interactive LearningEnvironments.http://dx.doi.org/10.1080/10494820.2014.924531 18. Long S. and Marson K. (2003). Concept Cartoons. Hands on Science. 19(3). 19. Mayer R. E., Dow G.T. and Mayer S. (2003). Multimedia Learning in an Interactive Self- Explaining Environment: What Works in the Design of Agent-Based Microworlds? Journal of Educational Psychology. 95(4): 806-812. 20. Md Salleh S. &Napiah S.R. (2010). Pembangunan Perisian Pembelajaran Berbantukan Komputer (PBK) Untuk Topik Pecahan Tingkatan Satu Menggunakan Pendekatan Masteri. Skudai: Universiti Teknologi Malaysia. 21. Muhammad N. (2009). Kajian Penilaiandan Penggunaan CD ROM Pendidikan Sainsdan Matematik Bagi Sekolah Menengah Kebangsaan. Master Thesis. Johor. Universiti Teknologi Malaysia. 22. Nokes T.J., Hausmann R.G.M. and VanLehn K. (2011). Testing the Instructional Fit Hypothesis: The Case of Self-Explanation Prompts. Instruction Science. 39: 645-666. 23. O’Neil et. al. (2014). Adding self-explanation prompts to an educational computer game. Computers in Human Behavior 30 (2014) 23–28 24. Rittle-Johnson B. (2006). Promoting Transfer: Effects of Self-Explanation and Direct Instruction. Child Development. 77(1):1-15. 25. Rittle-Johnson, B & Loehr, A.M. (2016). Eliciting explanations: Constraints on when self- explanation aids learning. Psychonomic Bulletin & Review, 24 (5), 1501-1510. 26. Roy M., and Chi M. T. H. (2005). The Self-Explanation Principle in Multimedia Learning. In R. E. Mayer (Ed.). Cambridge Handbook of Multimedia Learning (pp. 413-432). New York: Cambridge University Press. 27. Sern Lai C., Spottl G. &Straka G.A. (2011). Learning With Worked-out Problems in Manufacturing Technology: The Effects of Instructional Explanations and Self-Explanation Prompts on Acquired Knowledge Acquisition, Near and Far Transfer Performance. Bremen, Institute Technique and Building. 28. Sexton M., Gervasoni A. and Brandenburg R. (2009). Using a Concept Cartoon to Gain Insight Into Children’s Calculation Strategies. Australian Primary Mathematics Classroom. 14(4): 24- 28. 29. Song Y., Heo M., Krumenaker L. and Tippins D. (2008). Cartoons-An Alternative Learning Assessment. Science Scope. 31(5): 16-21. 30. Tian, J. & Siegler, R.S., (2016). Fractions Learning in Children With Mathematics Difficulties. Journal of Learning Disabilities, 1-7. 31. Wan Fatimah W.A. & Nurul Hidayah A.L. (2010). Development of a Mathematics Courseware: Fractions. Perak: UniversitiTeknologi PETRONAS. 32. Wong R.M.F., Lawson M.J. and Keeves J. (2002). The Effects of Self-Explanation Training on Students' Problem Solving in High-School Mathematics. Learning and Instruction. 12(2): 233- 262