International Journal of Innovative Technology and Exploring Engineering

ISSN : 2278 - 3075 Website: www.ijitee.org Volume-8 Issue-2S2, DECEMBER 2018 Published by: Blue Eyes Intelligence Engineering and Sciences Publication

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www.ijitee.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. Vinod Kumar Singh Associate Professor and Head, Department of Electrical Engineering, S.R.Group of Institutions, Jhansi (U.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.

Convener Chair Mr. Jitendra Kumar Sen Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd., 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.

Dr. J. Gladson Maria Britto Professor, Department of Computer Science & Engineering, Malla Reddy College of Engineering, Secunderabad (Telangana), India.

Dr. Sunil Tekale Professor, Dean Academics, Department of Computer Science & Engineering, Malla Reddy College of Engineering, Secunderabad (Telangana), India. S. Volume-8 Issue-2S2, December 2018, ISSN: 2278-3075 (Online) Page No Published By: Blue Eyes Intelligence Engineering & Sciences Publication No.

Authors: Gayatri Upadhyay Paper Laboratory investigations on expansive soils with eggshell powder Title: Abstract: For any land-based structure, its load is supported by foundation. In order to support the load, soil plays vital role. Clay soils, particularly black cotton soils, shows extreme plastic behavior on increase in moisture. This consequently results in decrease in Engineering properties and more change in volume. These changes results in severe damage of structures, soil improvement is important under such conditions.Soil stabilization helps to overcome the drawbacks of soil. Stabilization of soil can be achieved through several methods ranging from chemical to mechanical stabilization . These methods are quite expensive for developing countries to implement , so the economic way is to use some alternate material which could be industrial or domestic waste. These materials are easily available and their usage can further minimize the problem of their disposals. This paper illustrates the usage of eggshell powder [ESP] as admixture in BC soil to stabilize it and enhance its index 1. properties , compaction characteristics and UCS value.

Keywords: clayey soil ,esp, plasticity index , ucs. 1-2

References: 1. Barazesh, A., Saba, H., Gharib, M. and Rad, M.Y. (2012) “Laboratory Investigation of the Effect of Eggshell Powder on Plasticity Index in Clay and Expansive Soils,” European Journal of Experimental Biology, 2 (6), 2378-2384. 2. Amu , O. O., Fajobi, A.B. and Oke, B.O. (2005) “Effect of Eggshell Powder on the Stabilizing Potential of Lime on an Expansive Clay Soil,” Research Journal of Agriculture and Biological Sciences, 1(1), 80-84. 3. AnouksakThammavong and DirekL(January 2006)., “Cement Stabilization of Reclaimed Asphalt Pavement Aggregate for Base Layer”, Technology and Innovation for Sustainable Development Conference, Thailand.. 4. Gopal Ranjan, A.S.R.Rao,(1991) “Basic and Applied Soil Mechanics”, Published by S.Poplai For Wiley Eastern Limited, New Delhi, pp:49-58 5. AI-Azzo, S.I. (2009) “Treatment of Expansive Clayey Soil in AL-Wahda District at Mosul City with Crushed Lime Stone,” Iraqi Journal of Earth Sciences, 9(2), 1-10 Authors: Heruthunnisa.Shaik, Ismail.Kakaravada Paper Optimization of Thrust force, Surface roughness and Delamina-tion in drilling of EN-24 steel using Taguchi based Title: VIKOR-Entropy Method Abstract: The present article presents Taguchi based multi-response optimization for multi response during drilling of EN-24 steel under minimum quantity lubrication (MQL) condition. The Taguchi method is one of the most authoritative tool used in designing of the hole quality optimization. The intend of this paper is to explore the influence of cutting edge speed, drill feeding rate and effect of coating on drill tool upon the superficial integrity, thrusting force, and delamination factor during the procedure for drilling of EN-24 steel. The experiments were performed on the computer controlled vertical machining centre (VMC). The design of experiments (DOE) was based on L27 Taguchi’s orthogonal array; the experiments were executed under minimum quantity lubrication used as mineral oil at a course rate of 60 ml/min. The selected machining parameters for drilling operation were spindle speed at 150, 350 and 550 rpm, drill feeding rate at 0.15 mm/rev, 0.25 mm/rev and 0.35 mm/rev and HSS (uncoated/coated with TiN and TiAlN ) drills were used. The orthogonal array, the VIKOR-Entropy grade, and ANOVA were engaged to investigate for the prime machining parameter which optimizes the process. From the analysis of experimental consequences, it has been observed that the drill feeding rate is the most influencing parameter and the spindle rotating speed is the least impelling parameter. These results indicates the selection of optimal parameter for drilling of EN-24 steel without compromising the hole quality.

Keywords: Drilling, Orthogonal array, Multi-response optimization, VIKOR-Entropy, ANOVA.

References: 2. 1. Khaled Giasin, AlmaHodzic,Vaibhav.Phadnis, Sabino Ayvar-Soberas, Assesment of cutting force and hole quality in drilling Al2014 aluminium alloy experimental and finite element study, internationall journal of advanced manufacturing technology 87 (2016) 2041-2061. 2. S.Kadam, M. G. Rathi, Application of Taguchi method in the optimization of drilling parameters”, International Journal of Engineering Research and 3-8 Technology, 2(8), 2013. 3. J. P. Kumar and P. Packiara, Effect of drilling parameters on surface Roughness, tool wear, material removal rate and hole diameter error in drilling of ohns." International Journal of Advanced Engineering Research and Studies, 1(2012)150-154. 4. A.Çiçek, T. Kıvak, G.Samtaş. Application of Taguchi method for surface roughness and roundness error in drilling of AISI 316 stainless steel, Strojniškivestnik-Journal of Mechanical Engineering, 58(3) (2012) 165-174. 5. S. Jayabal U. Natarajan, Influence of cutting parameters on thrust force and torque in drilling of E-glass/polyester composites. 2010. 6. A.M.Raj, S. L. Das, K. Palanikumarr, Influence of drill geometry on surface roughness in drilling of Al/SiC/Gr hybrid metal matrix composite." Indian journal of science and technology, 6(7) (2013) 5002-5007. 2013. 7. E. Kilickap, M. Huseyinoglu, A.Yardimeden, Optimization of drilling parameters on surface roughness in drilling of AISI 1045 using response surface methodology and genetic algorithm, The International Journal of Advanced Manufacturing Technology, 52(1) (2011) 79-88. 8. P. S.Nalawade, S. S. Shinde, Cutting Parameter Optimization for Surface Finish and Hole Accuracy in Drilling Of EN-31, IOSR Journal of Mechanical and Civil Engineering, 12(9) (2015) 20-27 9. B.Shivapragash, K.Chandrasekaran, C.Parthasarathy, M. Samuel, Multiple Response Optimizations in Drilling Using Taguchi and Grey Relational Analysis, International Journal of Modern Engineering Research (IJMER), 3(2) (2013),765-768. 10. I.S. Reddy, F. A. Raju, A. Gurunadham, Determination of Optimum Parameters in CNC Drilling of Aluminium Alloy Al6463 by Taguchi Method, International Journal of Engineering Research & Technology (IJERT),vol. 3(2), 2014. 11. Y. Tyagi, V. Chaturvedi, J.Vimal, Parametric optimization of drilling machining process using Taguchi design and ANOVA approach, Journal of Emerging Technology and Advanced Engineering, 2(7) (2012) 339-347. 12. B.Murthy, L. L. Rodrigues, A. Devineni., Process Parameters Optimization in GFRP Drilling through Integration of Taguchi and Response Surface Methodology,” Research Journal of Recent Sciences, 1(6) (2012) 7-15. 13. M. Sundeep, M.Sudhahar, T. T. M.Kannan, P. V. Kumar, N. Parthipan. “Optimization of drilling parameters on Austenitic stainless steel (AISI 316) using Taguchi's methodology”, 14. V. N. Rane, A. P.Edlabadkar, P. D.Kamble, S. S.Chaudhar, Optimization of process parameters for resharpenedHSS drill Using Taguchi Methods, International Journal on Engineering Technology and Sciences, 2 ( 3), 2015. 15. Ismail.Kakaravada, A.Mahamani,V.Pandurangadu, Optimization of machining parameters using Entropy-VIKOR method in drilling of A356-TiB2/TiC in-situ composites, IOP Conference Series: Materials Science and Engineering,390 (2018) Authors: J.Rex, J.Selwyn Babu, S.Pooja Sri Reddy Paper Strength and Durability Aspects of Bacterial Concrete Title: Abstract: Concrete is a very essential factor among creation materials that is widely been in use in infrastructure. Despite of its vital usage for production functions, it nevertheless has numerous obstacles. It is expected that production of cement alone contributes to approximately 7% of world anthropogenic CO2 emissions that is accountable for green residence effect resulting in worldwide warming. The most important disadvantage of concrete is its low tensile electricity due to which micro crack occurs whilst the burden carried out is more than its limit and this paves way for the seepage of water and other salts. This initiates corrosion and makes the whole structure vulnerable and leads to the failure of shape. To remediate this sort of failure due to cracks and fissures, an approach of the usage of bio mineralization in concrete has advanced in latest years. The concrete building structures have enormous sturdiness problems owing to the special physiological and environmental conditions and it outcomes to irrevocable harm to the huge building structure and ultimately discount within the strength and power of concrete building structure. The essential cause behind the downgrading in the current years MICCP (microbiologically and eco-friendly triggered calcium carbonate precipitation process) by the bacteria is taken into consideration as a surroundings pleasant methodology to decorate the properties of huge and strong concrete, also for the overhauling of concrete structural articles and to consolidate them as the most unique construction materials with well diversified and imperative properties. This publication gives a observe is carried out to test the Compressive strength, Split tensile electricity, Flexural strength and sturdiness of bacterial inclusive concrete through using three one of a kind varieties of bacteria with various dosages like 0ml, 5ml, 10ml, 3. 15ml, 20ml for the M30 and M40 Grade concrete. 9-13 Keywords: Bacterial concrete, strength, durability, concrete

References: 1. Dr.S.Siddiraju,N.GaneshBabu,"Lead of Bacterial Concrete", International Journal of Science & Research (IJSR), Volume 5, Issue : 8, August 2016. 2. Chithra P, Bai Shibi Varghese “A check examination on the first class homes of fly cinder based totally bacterial stable” International Journal of Innovative Research in Advanced Engineering (IJIRAE)ISSN:2349-2763 Issue 08, Volume 3 (August 2016). 3. V Srinivasa Reddy, M V Seshagiri Rao, S Sushma “Attainability Study on Bacterial Concrete as an ingenious self cut up recuperating framework” Universal Journal of Modern Trends in Engineering and Research, 4. Akina Najmuddin Saifee, Divya Maheshbhai Chap, Jayesh Rameshbhai Juremalani “ Essential exam on Bacterial Cement”, IJRDO-Diary Of Mechanical And Structural Building, 5. Meera C.M, Dr.Subha V “Quality and Sturdiness assessment Of Microscopic organisms Based Self Mending Concrete”. IOSR Diary of Mechanical and Structural Building. 6. Ravindranatha,N, Kannan, Likhit M.L. “Self patching fabric bacterial strong”, Worldwide Diary of Exploration in Building and Innovation. 7. A.T.Manikandan, A.Padmavathi. “An Experimental Investigation on Improvement of Concrete Serviceability by means of using Bacterial Mineral Precipitation. 8. Jagadeesha Kumar BG, R Prabhakara, Pushpah “Impact Of Bacterial Calcite Precipitation On Compressive Strength Of Mortar Cube”, International Journal of Engineering and Advanced Technology(IJEAT), 9. RA.B.Depaa and T.Felix Kala , “Experimental Investigation of Self Healing Behavior of Concrete utilizing Silica Fume and GGBFS as Mineral Admixtures” Indian Journal of Science and Technology. Authors: Katla Rajendar, K. Eswaraiah, Anil Kumar Bodukuri, Sampath.V Paper Microstructural and hardness behavior of AL/B4C/h-BN hybrid composites prepared by powder metallurgy Title: method Abstract: The proceedings of this presentations enables us to explore the effect of B4C and h-BN particles on Aluminum based metal matrix composites (AL MMCS).The composites were fabricated with different reinforcement percentages of h- BN and B4C in aluminum using powder metallurgy technique. To obtain homogenous mixture between the powders, for small duration of milling, attrition mill is adopted. The powders were then compacted to optimal compaction pressure and sintered under nitrogen atmosphere. The prepared composites were polished and etched for micro structural analysis. Also determine the Brinell’s and Vicker’s hardness numbers. Results reveal that there is good improvement of results in composites than base metal.

Keywords: mmcs; microsturecture; hardness; sintering; inert atmosphere.

References: 4. 1. Thuault A, Marinel S, Savary E, Heuguet R, Saunier S, Goeuriot D, et al.,Processing of reaction-bonded B4CeSiC composites in a single-mode microwave cavity. Ceram Int 2013;39:1215e9. 2. Domnich V, Reynaud S, Haber RA, Chhowalla M. Boron carbide: structure, properties, and stability under stress. J Am Ceram Soc 2011;94:3605e28. 14-17 3. Anil Kumar Bodukuria, K. Eswaraiah, Katla Rajendar,V.Sampath: Fabrication of Al—SiC—B4C metal matrixcomposite by powder metallurgy technique and evaluating mechanical properties/ Perspectives in Science (2016) 8, 428—431/ j ournal homepage: www.elsevier.com/pisc. 4. B.Stalin,G.T Sudha,M. Ravichandran : Investigations on Characterization and Properties of Al-MoO3 Composites Synthesized Using Powder MetallurgyTechnique/SpringerScience+BusinessMediaB.V.,partofSpringerNature2018: Silicon https://doi.org/10.1007/s12633-018-9803-6. 5. Cunguang Chen a, LeichenGuo b, JiLuo a, JunjieHao a, ZhimengGuo a,n, AlexA.Volinsky c a., Aluminum powder size and microstructure effects on properties of boron nitride reinforced aluminum matrix composites fabricated by semi-solid powder metallurgy/ Materials Science & Engineering A646 (2015) 306–314/ journal homepage: www.elsevier.com/locate/msea. 6. Amal E. Nassar, Eman E. Nassar, Properties of aluminum matrix Nano composites prepared by powder metallurgy processing, Journal of King Saud University – Engineering Sciences (2017) 29,295–299/ www.ksu.edu.sa/ www.sciencedirect.com. 7. K. Kanthavel, K.R. Sumesh, P. Saravanakumar., Study of tribological properties on Al/Al2O3/MoS2 hybrid composite processed by powder metallurgy/ Alexandria Engineering Journal (2016) 55, 13–17/ www.elsevier.com/locate/aej/www.sciencedirect.com. 8. Ehsan Ghasali, Masoud Alizadeh,Touradj Ebadzadeh, Amir hossein Pakseresht, Ali Rahbari/ Investigation on microstructural and mechanical properties of B4C–aluminum matrix composites prepared by microwave sintering/ j m a t e r r e s t e c h n o l. 2 0 1 5;4(4):411–415/ www.jmrt.com.br 9. Maho Yamaguchi,FanqiangMeng, KonstantinFirestein, KoichiTsuchiya, Dmitri Golberg.,/ Powder metallurgy routes toward aluminum boron nitride nanotube composites, their morphologies, structures and mechanical properties/Materials Science&EngineeringA604(2014)9–17/journal homepage: www.elsevier.com/locate/msea. 10. MadhuriDeshpande, Ramesh Gondil, S. V.S.NarayanMurty, R. K.Kalal Studies on7075Aluminium Alloy MMCs with Milled Carbon Fibers as Reinforcements/ Trans Indian Inst Met/https://doi.org/10.1007/s12666-017-1233-4/ The IndianInstituteofMetals-IIM2017. 11. S. Ozkaya, A. Canakci/Effect of the B4C content and the milling time on the synthesis,consolidation and mechanical properties of AlCuMg-B4C nanocomposites synthesized by mechanical milling/Powder Technology 297 (2016) 8–16/journal homepage: www.elsevier.com/locate/powtec 12. Sener karabulut,halil karakoc,ramazan citak., Influence of B4C particle reinforcement on mechanical and machining properties of Al6061/B4C composites, Composites Part B 101 (2016) 87-98,/journal homepage: www.elsevier.com/locate/compositesb. Authors: Rajendra Prasad Paper Design and Implementaion of Energy Efficient Muliplier Architecture in Low Power Vlsi Title: Abstract: The Low power multipliers having high clock frequencies assume a significant role in the present advanced technology. Multiplier is such a vital component which subsidises the aggregate power utilization in a systematic environment. Low Power VLSI optimization is carried out from basic subsystem level to architecture level. Power reduction is addressed at every stage of design thus the overall power reduction is minimized. Various innovative design techniques namely, clock gating, power gating and low power libraries are adopted to minimize power dissipation. The techniques proposed in this publication can be generalized and adopted for design complex signal processing and communication blocks required for various applications. To estimate 2’s complement of multiplicand for final Partial Product Row (PPRG) we used MBE technique in proposed system. The proposed multiplier consumes power up to 60% and reduce the logic delay up to 7.2% and route delay up to 92%. So compared to all existed multipliers, the proposed multiplier produces effective results.

Keywords: Low power multipliers, Digital Signal Processing, Power Reduction Techniques, High Clock Frequencies, Modified Booth Encoding (MBE), Partial Product Row Generation (PPRG).

References: 1. Jia Di_, J.S. Yuan, R. Demara ―Improving power awareness of pipelined array multipliers using two dimensional pipeline gating and its application on FIR design, Microelectronics Journal 41(2010). 5. 2. Sri Bharathi Krishna Tirtha Maharaj,”Vedic Mathematics “, Motilal Banarasi Das publications, Delhi 2009 3. Jiajia Chen and Chip-Hong Chang “High-Level Synthesis Algorithm for the Design of Reconfigurable Constant Multiplier” IEEE transactions on computer-aided design of integrated circuits and systems, vol. 28, no. 12, December 2009 18-22 4. Timothy W. O’Neil and Edwin H.-M. Sha, Retiming Synchronous Data-Flow Graphs to Reduce Execution Time Vol. 49, No. 10, Oct. 2001 5. S. Malik, K.J. Singh, R.K. Brayton and A. Sangiovanni-Vincentelli,Performance Optimization of Pipelined Logic Circuits Using Peripheral Retiming and Resynthesis," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol 12, No. 5, May 1993. 6. C. E. Leiserson, F. M. Rose, and J. B. Saxe. Optimizing Synchronous Circuitry by Retiming. In Proceedings of 3rd CalTech Conference on VLSI, pages 23–36, March 1983. 7. C. E. Leiserson and J. B. Saxe, “Retiming Synchronous Circuitry," Algorithmica, vol. 6, no. 1, pp. 5-35, 1991. 8. J. Monteiro, S. Devadas, and A. Ghosh. Retiming Sequential Circuits for Low Power. In Proceedings of the Int’l Conference on Computer-Aided Design, pages 398–402, November 1993. 9. Manohar Ayinala and Keshab.K.Parhi,”High Speed parallel architecture for Linear Feedback Shift Register (LFSR)”, IEEE Journal, 2011. 10. Verma, P.: “Design of 4X4 bit Vedic Multiplier using EDA Tool,” International Journal of Computer Application (IJCA), Vol. 8, June, 2012. 11. Jalaja S and Dr. Vijaya Prakash A.M, “High Speed VLSI Architecture for Squaring Algorithm Using Retiming Approach “,Third International Conference on “Advances in Computing and Communications” during Aug 29-31 2013 held at RSET, Cochin, Kerala, India and the paper is published in IEEE Computer Society's CPS. 12. Honey Durga Tiwari, Ganzorig Gankhuyag, Chan Mo Kim, Yong Beom Cho “ Multiplier design based on ancient Indian Vedic Mathematics”, 2008 International SoC Design Conference. 13. Prabir Saha, Arindam Banerjee, Partha Bhattacharya Anu Dan dapat, “ High speed Asic design of complex multiplier using Vedic Mathematics”, Proceeding of the 2011 IEEEstudents Technology Symposium, IIT Kharghpur. 14. Refik Sever, Murat Askar,”8x8-Bit Multiplier Designed With a New Wave-Pipelining Scheme”, IEEE Trans. VLSI Syst., vol. 6, no. 3, pp. 2095- 2098, Sep. 2000. 15. V.Vamshi Krishna, S. Naveen Kumar “High Speed, Power and Area efficient Algorithms for ALU using Vedic Mathematics”, International Journal of Scientific and Research Publications, Volume 2, Issue 7, July 2012. Authors: N. Sri Chandrahas, B.S. Choudhary, M.S.Venkataramayya Paper Identification of Most Influencing Blast Design Parameters on Mean Fragmentation Size and Muckpile by Title: Principal Component Analysis Abstract: Mean fragmentation size, muck pile are the most emphasis factors in terms of economic and safe production in mining. It is needful to maintain certain limits to reach optimum level of blast results. The motive of study is to categorize the most influencing blast design parametric values on average sized fragmentation and muck pile. The commitment of the research was dealt on time through field data collection that related to blast design parametric values such as drill hole depth, its diameter, no of holes, no of rows, burden, spacing, average charge per hole, explosive, firing pattern, length width ratio, powder factor, mean fragmentation size, throw from three limestone mines positioned at different vicinity in Rajasthan. The collected data has analyzed statistically using principal component analysis (PCA) in IBM SPSS and XLSTAT software’s. Most influencing significant and non-significant parameters on mean fragmentation size and muck pile were drawn from regression analysis by considering P, F and R square values in IBM SPSS, For more robust results further analysis has done 6. with XLSTST by considering influenced parameters from correlation circle according to their respective coordinates 23-30 Keywords: Blast Design Parameters, IBM SPSS, XLSTAT, PCA.

References: 1. Cristinel constantin., “Principal component analysis - a powerful tool in computing marketing information” Bulletin of the Transilvania University of Braşov Series V: Economic Sciences, Vol. 7 (56) No. 2, 2014 2. SvanteWold∗KimEsbensen,PaulGeladi.,” Principal component analysis” Elsevier: Volume 2, Issues 1–3, Pages 37-52, August 1987. 3. Cunningham, C.V.B.,”The Kuz-Ram model for prediction of fragmentation from Blasting” Symposium on Rock fragmentation by blasting, Lulea University, pp 439-453, Sweden 22-26August, 1987 4. Choudhary., “B.S. Assessment of fragmentation in limestone quarry blasts" Ph.D. thesis, Banaras Hindu University, Varanasi,2011 (Unpublished). 5. Kuznetsov, V.M., “The mean diameter of the fragments formed by blasting rock” Soviet Mining Science 9(2);144-148, 1973 6. Choudhary, B.S., “Firing Patterns and its effect on muck pile shape Parameters and fragmentation in quarry blasts” International Journal of Research in Engineering and Technology, Volume: 02 Issue: 09,Sep-2013 7. Mohammad Farouq Hossaini et.al.” Minimizing Mucking Time by Prediction of Muckpile Top Size in Tunnel Blasting” A CaseStudy University of Wollongong. International Journal of Engineering and Technology, 2014. 8. P. K. Singh et.al.,”Blast design and fragmentation control - key to productivity”,2004 (Unpublished). 9. T. Hudaverdi n, C. Kuzu, A. Fisne., “Investigation of the blast fragmentation using the mean fragment size and fragmentation index” International Journal of Rock Mechanics & Mining Sciences, 2012 10. P.K. Singh et.al, “Rock fragmentation control in opencast blasting. Journal of Rock Mechanics and Geotechnical Engineering,2016 11. B. Adebayo and J.M. Akande.,” Effects of blast-hole deviation on drilling and muck-pileloading cost” International Journal of Scientific Research and Innovative Technology ISSN: 2313-3759 Vol. 2 No. 6; June 2015 12. Carlos lopez jimeno.,“Drilling and blasting of rocks”A published book,1995 Authors: N.Subbulakshmi, R.Chandru, R. Manimegalai Paper Implementation of Lock-In Method using NLFB for Brain Monitoring Applications on FPGA Title: Abstract: In recent years, many algorithms have been discussed for the biomedical applications in Digital Signal Processing. In this work, an advanced frame-work which will be helpful for the brain monitoring, in view of a Sync field programmable Gate Array (FPGA) has been planned and executed, trying to investigate if this strategy may enhance the execution of this proposed framework. All the more extensively, FPGA-based arrangement adaptability has been researched, with specific accentuation connected to advanced channel parameters, required in the computerized devices, and its effect on the last flag recognition and commotion dismissal capacity has been assessed. The proposed design was a blended arrangement between VHDL/Verilog equipment modules and programming modules, running inside a chip. Exploratory outcomes have demonstrated the integrity of the proposed arrangements and similar subtle elements among various executions will be itemized. At long last a key perspective considered all through the plan was its measured quality, permitting a simple increment of the info channels while keeping away from the development of the outline cost of the hardware framework. Specifically, the activity of the proposed NLFB acquired an extremely solid dismissal of clamor influencing the standard, especially for signals identified with frameworks. Parameters such as delay, area and power are compared with the traditional method.

Keywords: Hearing Aid, Digital Signal Processing, Smart devices 7.

References: 31-33 1. Stutt, C.A. Low-Frequency Spectrum of Lock-In Amplifiers. MIT Technical Report (MIT). 1949. Available online: http://dspace.mit.edu/handle/1721.1/4940 (accessed on 29 December 2016). 2. Michels,W.C.; Curtis, N.L. A Pentode Lock-In Amplifier of High Frequency Selectivity. Rev. Sci. Instrum.1941, 12, 444–447. 3. Cheng, J.; Xu, Y.; Wu, L.; Wang, G. A Digital Lock-In Amplifier for Use at Temperatures of up to 200 Sensors 2016, 16, 1899. 4. He, D.; Morgan, S.P.; Trachanis, D.; van Hese, J.; Drogoudis, D.; Fummi, F.; Stefanni, F.; Guarnie-ri, V.; Hayes-Gill, B.R. A Single-Chip CMOS Pulse Oximeter with On-Chip Lock-In Detection. Sensors 2015, 15, 17076–17088. 5. Macias-Bobadilla, G.; Rodríguez-Reséndiz, J.; Mota-Valtierra, G.; Soto-Zarazúa, G.; Méndez-Loyola, M.; Garduño-Aparicio, M. Dual-Phase Lock-In Amplifier Based on FPGA for Low-Frequencies Experiments. Sensors 2016, 16, 379. [CrossRef] [PubMed] Ferrari, M.; Quaresima, V. A brief review on the history of human functional near-infrared spec-troscopy (fNIRS) development and fields of application. NeuroImage 2012, 63, 921–935. 6. Shimadzu, LABNIRS. Available online: http://www.shimadzu.com/an/lifescience/imaging/nirs/nirs_top.html (accessed on 29 December 2016). 7. HITACHI―ETG-4000. Available online: http://www.hitachi-medical-systems.eu/products-and-services/ optical-topography/etg-4000.html. 8. Electrical Geodesic Inc., EEG System. Available online: https://www.egi.com/research-division/researchdivision- research-products/nirs-system (accessed on 29 December 2016). 9. Von Lühmann, A.; Wabnitz, H.; Sander, T.; Müller, K.-R. M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition architecture for miniaturized EEG-NIRS based hybrid BCI and monitoring. IEEE Trans. Biomed. Eng. 2016, PP, 1. 10. Agrò, D.; Canicattì, R.; Pinto, M.; Morsellino, G.; Tomasino, A.; Adamo, G.; Curcio, L.; Parisi, A.; Stivala, S.;Galioto, N.; et al. Design and Implementation of a Portable fNIRS Embedded System. In Applications in Electronics Pervading Industry, Environment and Society; Lecture Notes in Electri-cal Engineering; Springer: Berlin, Germany, 2016; Volume 351, pp. 43–50. 11. Subbulakshmi N & Manimegalai R, NLFB: Novel Lifting based Filter Bank for Hearing Aid‘, Journal of Computational and Theoritical Nanoscience, vol. 14, no. 2, pp. 1410-1416. 1546-1955, 2017. Authors: Dharmalingam Ramasamy, Sudhakara Reddy S, Ramachandran T, Gunasekharan S Paper Experimental analysis of Thermal Performance of Solar Collector using CuO-H2O nanofluid Title: Abstract: The peak performance of a solar collector with flat plate is increased by via Nano fluid which acts as a heat transfer layer. The thermal behaviour of solar collector while using nanofluids as heat transfer medium can be analysed using experimental or suitable numerical techniques. Experimental analysis is considered as prime important in the scientific society by providing opportunity to test theoretical hypothesis and physical statements of a problem. It gives average output values for the given input values of a system or process. In this work, experimental analysis of solar collector is performed using water and copper oxide-water (CuO-H2O) nanofluid as heat transfer medium with various concentrations of nanoparticle such as 0.1%, 0.2% and 0.3% mass fractions. Water and CuO nanofluid are circulated with 0.016kg/s and 0.033kg/s mass flow rate. The analysis done for this presentation claims the effectual property of CuO nanofluid containing various mass fractions of nanoparticle on collector outlet temperature, rate of heat transfer and efficiency is better than water. The pressure drop 8. across the solar collector is more in CuO nanofluid due to its high density and viscosity. 34-39 Keywords: Solar flat plate collector, experimental analysis, CuO nanofluid, heat transfer, efficiency, pumping power.

References: 1. Prof. P.W.Ingle, Dr. A. A. Pawar, Prof. B. D. Deshmukh, Prof. K. C. Bhosale, CFD Analysis of Solar Flat Plate Collector, International Journal of Emerging Technology and Advanced Engineering, 2003, 3(4), 337-348. 2. D.R.Pangavhane, R.L.Sawhney, “Review of research & development work on solar dryers for grape drying, energy conversation and management, 2002, 43, 45-61. 3. Al. Dănescu, S. Bucurenciu, St. Petrescu, Utilizarea Energiei Solare, Editura Tehnică, Bucureşti, 1980. 4. R.Saidur, K.Y. Leong, H.A. Mohammad, A review on applications and challenges of nanofluids, Renew. Sustain. Energy Rev. 2011, 15 (3) 1646–1668. 5. S.A. Kalogirou, Solar Energy Engineering: Processes and Systems, Elsevier, Oxford, 2009. 6. Omid Mahian, Ali Kianifar, Soteris A. Kalogirou, Ioan Pop, Somchai Wongwises, International Journal of Heat and Mass Transfer, 2013, 57, 582–594. 7. H.Tyagi, P.Phelan, R.Prasher, Predicted efficiency of a low-temperature nanofluid – based direct absorption solar collector, J. Solar Energy Eng. 2009, 131, 041004. 8. T.P. Otanicar, P.E. Phelan, R.S. Prasher, G. Rosengarten, R.A. Taylor, Nanofluidbased direct absorption solar collector, J.Renew.Sustain. Energy, 2010, 2, 033102. 9. T.Yousefi, F. Veysi, E. Shojaeizadeh, S. Zinadini, An experimental investigation on the effect of pH variation of MWCNT–H2O nanofluid on the efficiency of a flat-plate solar collector, Solar Energy, 2012, 86, 771–779. 10. S.Link, M.A. El-Sayed, Shape and size dependence of radiative, non-radiative and photothermal properties of gold nanocrystals, Int. Rev. Phys. Chem.2000, 19, 409–453. 11. N. Khlebtsov, L. Trachuk, A. Mel’nikov, The effect of the size, shape, and structure of metal nanoparticles on the dependence of their optical properties on the refractive index of a disperse medium, Optics Spectrosc. 2005, 98 (1), 77–83. 12. Sarit Kumar Das, Nandy Putra, Peter Thiesen, Wilfried Roetzel, Temperature dependence of thermal conductivity enhancement for nanofluids, Journal of heat transfer, 2003, 125/567. 13. Jacob Eapen, Roberto Rusconi, Roberto Piazza, Sidney Yip, The classical nature of thermal conduction in nanofluids, Journal of heat transfer, 2010, 132/102402-1. 14. Drew D.A. Passman S.A, 1999 Theory of multi component fluids, SpringerBerlin. 15. Y.Xuan, W.Roetzel, conceptions for heat transfer correlation of nanofluids, International Journal of heat and mass transfer, 2000, 43, 3701. 16. B.C.Pak, I.Y.Cho, Hydrodynamic and heat transfer study of dispersed fluids with sub-micron metallic oxide particles, Experimental heat transfer, 1998, 11, 151-170. 17. R.Dharmalingam, K.K.Sivagnanaprabhu, B.Senthilkumar, R.Thirumalai, Nano materials and nanofluids: An innovative technology study for new paradigms for technology enhancement, Procedia Engineering, 2014, 97, 1434 – 1441. 18. Goudarzi, K, Nejati, F, Shojaeizadeh, E &AsadiYousef-abad, SK, Experimental study on the effect of pH variation of nanofluids on the thermal efficiency of a solar collector with helical tube, Experimental Thermal and Fluid Science, 2015, 60, 20-27. 19. Said, Z, Saidur, R, Rahim, NA &Alim, MA, Analyses of exergy efficiency and pumping power for a conventional flat plate solar collector using SWCNTs based nanofluid, Energy and Buildings, 2014, 78, 1-9. 20. R.Kandasamy, R.Dharmalingam, KKS Prabhu, Thermal and Solutal Stratification of MHD nanofluid flow over a Porous Vertical Plate, Alexandria Engineering Journal, 2018, 57, 1,121-130. 21. R.Dharmalingam, R.Kandasamy, KKS Prabhu, Lorentz forces and nanoparticle shape on water based Cu, Al2O3, Journal of Molecular Liquids, 2017, 231, 663-672. 22. R Kandasamy, R Dharmalingam, KKS Prabhu, Performance of Thermal Radiation Energy on Stagnation-Point Flow In The Presence of Water Based Copper and Single Walled Carbon Nanotubes over Stretching, International Journal of Engineering Research and Applications, 2016, 6 (4), 62-74. 23. Dharmalingam R, Sivagnanaprabhu K K, Godson Asirvatham.L, Gunasekharan S, Experimental Analysis of Heat Transfer Characteristics of Solar Flat Plate Collector using H2O and Al2O3-H2O Nanofluid, International Journal of Current Engineering and Scientific Research, 2017, 4(12), 103-112. 24. R.Dharmalingam, KK.Sivagnanaprabhu, J.Yogaraja, S.Gunasekaran, R.Mohan, Experimental Investigation of Heat Transfer Characteristics of Nanofluid Using Parallel Flow, Counter Flow and Shell and Tube Heat Exchanger, Archive of Mechanical Engineering, 2015, 62(4), 509-522. 25. Zhang X, Gu H, Fujii M, Effective thermal conductivity and thermal diffusivity of nano fluids containing spherical and cylindrical nano particles, Journal of Applied Physics, 2006, 100, 04325. 26. Choi SUS, Enhancing thermal conductivity of fluids with nanoparticles, in developments and applications of Non-Newtonian flows, ASME FED 231/MD 1995, 66, 99-103. 27. Lazarus Godson, B.Raja, D.MohanLal, S.Wongwises, Enhancement of heat transfer using nanofluids-An overview, Renewable and Sustainable Energy Reviews, 2010, 14, 629-641. 28. Jacob Eapen, Roberto Rusconi, Roberto Piazza, Sidney Yip, The classical nature of thermal conduction in nanofluids, Journal of heat transfer, 2010, 132/102402-1. 29. SeokPil Jang, Stephen U.S.Choi, Effects of various parameters on nanofluid thermal conductivity, Journal of heat transfer, 2007, 129/617 30. L.Godson, K.Deepak, C.Enoch, B.Jefferson, B.Raja, Heat transfer characteristics of silver/water nanofluids in a shell and tube heat exchanger, 2014, ACME 141-149. Authors: R.Sumathi, Shyamala Bhoomesh Paper Comparitive Study Between the Compressive Strength of Traditional Curing and Accelerated Curing of Concrete Title: Abstract: Generalized association between compressive strength achieved after 28 days and accelerated compressive strength achieved after 24 hours for all the grades of concrete is provided in IS Code. This paper intent at evolving the comparison between accelerated action curing and traditional action curing for specific grade of concrete.. These techniques are particularly helpful within the manufacture trade, wherein high early age strength permits the removal of type work at intervals twenty four hours, thereby reducing the cycle time, leading to value saving edges. The most usually adopted natural process techniques are steam natural process at region pressure, heat water natural process, boiling water natural process and autoclaving. Accelerated curing results are obtained after twenty four hours to predict the twenty eight days compressive strength.

Keywords: concrete mix, Compressive Strength, Accelerated Curing, formwork, Autoclaving

References: 9. 1. Ajay Goel, JyotiNarwal, VivekVerma, Devender Sharma and Bhupinder Singh , “A Comparative Study on the Effect of Curing on the Strength of Concrete materials ”,International Journal of Engineering and Advanced Technology (IJEAT), Volume-2, Issue-6, ISSN: 2249 – 8958, August 2013. 2. Akeem Ayinde Raheem , Aliu Adebayo Soyingbe and Amaka John Emenike,, “Effect of Curing Methods on Density and Compressive Strength of 40-42 Concrete”,International Journal of Applied Science and Technology, Vol. 3 Issue - 4, 2013. 3. Denny Meyer, “A Statistical Comparison Of Accelerated Concrete Testing Methods”,Journal of Applied Mathematics & Decision Sciences, vol. 1, Issue-.2, pp 89-100 ,1997. 4. Reliability of accelerated curing techniques for speedy design of concrete mixes – An appraisal of IS 9013:1978 code. 5. Krishna Rao, M..V, Rathish Kumar, P, and Azhar Khan, M, “A study on the influence of curing on the strength of a standard grade and concrete mix”, Architecture and Civil Engineering, Vol. 8, Issue- 1, pp. 23 – 34, 2010. 6. Abalaka,A.E,, and Okoli,O .G, “Influence of curing regime on strength development of grade C60 concrete base” , International Journal of Modern Engineering Research (IJMER), Vol.3, Issue.2, , pp-709-714. March-April.2013. 7. Safiuddin , Raman S. N, and. Zain, M , “Effect of Different Curing Methods on the Properties of Microsilica Concrete”,,Australian Journal of Basic and Applied Sciences, vol.1, Issue-.2, pp 87-95, 2007. [8] Ali H. Hameed , “The effect of curing condition on compressive strength in high strength concretes”, ISSN 1999-8716 Vol. 02 ,pp. 35-42,2009. 8. Krishna Reddy,K.V., “A comparative study on methods of curing concrete influence of humidity”, International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 Vol. 3, Issue 3, pp.1161-1165, May-Jun 2013. 9. IS 10262:2009 Concrete mix proportioning – guidelines. [11] James ,O, Ndoke, P.N., and. Kolo , S.S ., “Effect of different curing methods on the compressive strength of concretes”, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-2, Issue-6, August -2013. 10. Authors: K. Rajendra Prasad Paper An Experiment on Uart Enabled Built-in-Self-Test Using Verilog Title: Abstract: Asynchronous serial communication process is generally executed by the exclusive asynchronous transmitter device of the universal receiver, normally used to alternate information of short and low speed among the processor and peripherals. The UART allows the connection of serial full-duplex messages is used in data communication as well as in operating system. It is necessary to execute the UART purpose in only one or a rarechips. In addition, without full testability of design systems are open for increasing opportunity of product bankruptcy and loss of market chances. It is also necessary to ensure that the information moving is flawless. This publication concentrates on the the initial gestalt of the integrated self- test tranmitter (BIST) and the status register of the UART. The ultimate protrusion is to reduce as much as possible the alternation between the test models. The patterns in this approach to change a single input produced by stand and a grey code producers limited O-Red with combination of the kernel produced by the rectilinear displacement recorder with linear feedback. The Eight-bit UART is encoded in Verilog HDL and simulated simultaneously.

Keywords: BIST Architecture, VLSI testing, UART Tx/Rx, LFSR,. 43-45

References: 1. Mohd Yamani Idna Idris, Mashkuri Yaacob, Zaidi Razak, “A VHDL Implementation of UART Design with BIST capability” 2. Dr. T.V.S.P. Gupta, Y. Kumari, M.Asok Kumar”UART realization with the BIST architecture using VHDL” International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol.3, Issue 1, January -February 2013, pp.636-640 3. M.S. Harvey,Generic UART Manual,Silicon Valley,December 1999. 4. P. J. Anderson, “The designer’s guidance to VHDL” , Morgan Kaufman , 2nd edition, 2002. 5. Fang Yi-yuan and Chen Xue-jun, “Design and Simulation of UART Serial Communication”, in the proceedings of 3rd International Workshop on Intelligent Systems and Applications (ISA), IEEE, May 2011, DOI: 10.1109/ISA.2011.5873448, pp.1-4. 6. Shikha Kakar, Balwinder Singh , and Arun Khosla “ Implementation of BIST Capability and LFSR Techniques in UART ” , International Journal of Recent Trends in Engineering ,Vol 1, No. 3, May 2009 7. Dr. T.V.S.P.Gupta, Y. Kumari , M. Ashok Kumar, “ UART realization with BIST architecture using VHDL ” International Journal of Engineering Research and Applications (IJERA) ISSN: 2248- 9622 www.ijera.com Vol. 3, Issue 1, January - February 2013, pp.636-640 Authors: B. Mallikarjuna, P. Venkata Krishna Paper A Nature-Inspired approach for Load Balancing of tasks in cloud computing using Equal Time Allocation Title: Abstract: Cloud computing is treated as one of the efficient paradigm for distributed computing. Due to the vast development in the internet world, scheduling of resources on cloud computing makes the issues. Load balancing over a virtual machines place a major role in efficient scheduling. In this paper, we propose a mechanism for load balancing among virtual machines by using a nature inspired approach called as honey bee foraging (LB-HBF). The task and virtual machine allocation mechanism which is used inside this LB-HBF is equal time allocation policy. This policy works efficiently for allocating the tasks to the virtual machines and reducing the task migrations over virtual machines. The experimental results showed the effectiveness of LB-HBF.

Keywords: load balancing, tasks, virtual machines, honey bee, resource management.

References: 1. Gon¸calves, G. E. et al., Resource Allocation in Clouds: Concepts, Tools and Research Challenges. XXIX Brazilian Symposium on Computer Networks and Distributed Systems, 2011. 2. Buyya, R.; Ranjan, R.; Calheiros, R.N.; Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities, High Performance Computing & Simulation, 2009. HPCS ’09. International Conference on, pp.1-11, 2009. 3. Ai, L., Tang, M. and Fidge, C. QoS-oriented Resource Allocation and Scheduling of Multiple Composite Web Services in a Hybrid Cloud Using a Random-Key Genetic Algorithm, Australian Journal of Intelligent Information Processing Systems, Vol. 12, No.1, 2010. 4. Buyya R., Ranjan, R., Calheiros, R. N. InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services. Proceedings of the 10th International Conference on Algorithms and Architectures for Parallel Processing, LNCS, Springer, Germany, 2010. 11. 5. H. Johansson and J. Steensland, “A performance characterization of load balancing algorithms for parallel SAMR applications,” Uppsala University, Department of Information Technology, Tech. Rep. 2006-047, 2006. 6. H. Shan, L. Oliker, R. Biswas, and W. Smith, “Scheduling in heterogeneous grid environments: The effects of data migration,” in Proceedings of 46-50 ADCOM2004: International Conference on Advanced Computing and Communication, India, December 2004. 7. S. Genaud, A. Giersch, and F. Vivien, “Load balancing scatter operations for grid computing,” in Proceedings of the 12th Heterogeneous Computing Workshop (HCW’2003), Nice, France, April 2003, pp. 101–110. 8. Y. Hu, R. Blake, and D. Emerson, “An optimal migration algorithm for dynamic load balancing,” Concurrency: Practice and Experience, vol. 10, pp. 467–483, 1998. 9. Ai, L., Tang, M. and Fidge, C. QoS-oriented Resource Allocation and Scheduling of Multiple Composite Web Services in a Hybrid Cloud Using a Random-Key Genetic Algorithm, Australian Journal of Intelligent Information Processing Systems, Vol. 12, No.1, 2010. 10. Song, S., Hwang, K., Kwok, Y., ”Risk-resilient heuristics and genetic algorithms for security-assured grid job scheduling,”Computers, IEEE Transactions on , vol.55, no.6, pp.703-719, 2006. 11. Entezari-Maleki, R. andMovaghar, A. A Genetic-Based Scheduling Algorithm to Minimize the Makespan of the Grid Applications. Grid and Distributed Computing, Control and Automation. Springer, 2010. 12. Ratan Mishra and AnantJaiswal, “Ant colony Optimization: A Solution of Load balancing in Cloud,” InternationalJournal of Web & Semantic Technology Vol.3, No.2, pp33- 50,2012. 13. R.N. Calheiros, R. Ranjan, A. Beloglazov, C.A.F. De Rose, R. Buyya, CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms, Software: Practice and Experience 41 (2011) 23–50, http://dx.doi.org/10.1002/spe.995. 14. R.N. Calheiros, R. Ranjan, C.A.F.D. Rose, R. Buyya, CloudSim: a novel framework for modeling and simulation of cloud computing infrastructures and services, Computing Research Repository, vol. abs/0903.2525, 2009. 15. R. Buyya, R. Ranjan, R.N. Calheiros, Modeling simulation of scalable cloud computing environments and the cloudsim toolkit: challenges and opportunities, in: Proceedings of the 7th High Performance Computing and Simulation Conference (HPCS 2009, ISBN: 978-1-4244-4907-1, IEEE Press, New York, USA), Leipzig, Germany, June 21–24, 2009. 16. T. S. K. Reddy, P. V. Krishna and P. C. Reddy, “Power Aware Framework for Scheduling Tasks in Grid based Workflows”, Int. J. Communication Networks and Distributed Systems, Inderscience Publishers, 2014 (accepted) 17. L.D.DhineshBabu, AngappaGunasekaranand P Venkata Krishna,“ A Decision Based Pre-emptive Fair Scheduling Strategy to Process Cloud Computing Work-flows for Sustainable Enterprise Management”, International Journal of Business Information Systems, Vol. 16, No.4, pp. 409-430, Inderscience Publishers, 2014 18. Babu, L. D., & Krishna, P. V., “An execution environment oriented approach for scheduling dependent tasks of cloud computing workflows”, International Journal of Cloud Computing, 3(2), 209-224, 2014. 19. L.D.DhineshBabu and P VenkataKrishna,“Honey Bee Behavior inspired Load Balancing of tasks in Cloud Computing Environments”, Applied Soft Computing, Volume 13 Issue 5, 20. Pages 2292-2303 Elsevier, May, 2013. 21. Krishna, P.V.; Misra, S.; Joshi. D.; Obaidat, M.S.; Learning Automata Based Sentiment Analysis for Recommender System on Cloud, 2013 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2013, May 7-8, 2013 22. PriyaPandey, P Venkata Krishna, B Sarojini, “QoS Aware Healthcare System on Mobile Clouds”, 2014 World Congress on Computing and Communication Technologies (WCCCT), 154-157, IEEE, 2014 Authors: B. Mallikarjuna, P. Venkata Krishna Paper A Nature Inspired Bee Colony Optimization Model for Improving Load Balancing in Cloud computing Title: Abstract: Cloud computing is treated as one of the emerging fields in the distributed systems. In the recent years, the IT industry had rely more on the cloud distribution, this ultimately leads to the load over the VMs. In this paper, we are dealing with the load balancing issue in cloud computing. The reduction of load over the VMs will ultimately lead to the increase of performance. To solve the load balancing issue we proposed a model as bee colony optimization model which is inspired by the nature bee colony mechanism. The proposed bee colony mechanism considers the iteration process for efficient scheduling of tasks to the VMs. The performance estimation of the proposed algorithm is tested with other existing algorithms called as FCFS and Dynamic load balancing algorithm. The proposed algorithm is well performed when compared to the other algorithms.

Keywords: Cloud computing, VMs, Load balancing, Scheduling, Iteration.

References: 1. B. Yagoubi, Y. Slimani, Task load balancing strategy for grid computing, Journal of Computer Science 3 (3) (2007) 186–194. 2. A. Revar, M. Andhariya, D. Sutariya, M. Bhavsar, Load balancing in grid environmentusing machine learning-innovative approach, International Journalof Computer Applications 8 (10 (Oct)) (2010) 975–8887. 3. B. Yagoubi, Y. Slimani, Dynamic load balancing strategy for grid computing,transactions on engineering, Computing and Technology 13 (May) (2006)260–265. 4. B. Yagoubi, M. Medebber, A load balancing model for grid environment,computer and information sciences, 2007. iscis 2007, in: 22nd InternationalSymposium on, 7–9 Nov, 2007, pp. 1–7. 5. M. Houle, A. Symnovis, D. Wood, Dimension-exchange algorithms for load balancingon trees, in: Proc. of 9th Int. Colloquium on Structural In 6. formation andCommunication Complexity, Andros, Greece, June, 2002, pp. 181–196. 12. 7. Y. Hu, R. Blake, D. Emerson, An optimal migration algorithm for dynamic loadbalancing, Concurrency: Practice and Experience 10 (1998) 467–483. 8. N. Malarvizhi, V. RhymendUthariaraj, Hierarchical load balancing scheme forcomputational intensive jobs in Grid computing environment, in: 51-55 AdvancedComputing, 2009. ICAC 2009. First International Conference on, 13–15 Dec,2009, pp. 97–104. 9. M. Randles, D. Lamb, A. Taleb-Bendiab, A comparative study into distributedload balancing algorithms for cloud computing, in: Proceedings of 24th IEEEInternational Conference on Advanced Information Networking and ApplicationsWorkshops, Perth, Australia, April, 2010, pp. 551–556. 10. D. Karaboga, An idea based on honey bee swarm for numerical optimization,Technical Report TR06, Computer Engineering Department, Erciyes University,Turkey, 2005. 11. D. Karaboga, B. Basturk, On the performance of artificial bee colony (ABC) algorithm,Applied Soft Computing 8 (1) (2008) 687–697. 12. F. Kang, J. Li, Q. Xu, Structural inverse analysis by hybrid simplex artificialbee colony algorithms, Computers and Structures 87 (13) (2009)861–870. 13. Q.K. Pan, M.F. Tasgetiren, P. Suganthan, T. Chua, A discrete artificial bee colonyalgorithm for the lot-streaming flow shop scheduling problem, InformationSciences 181 (12) (2011) 2455–2468. 14. A. Singh, An artificial bee colony algorithm for the leaf constrained minimumspanning tree problem, Applied Soft Computing Journal 9 (2) (2009)625– 631. 15. N. Karaboga, M.B.C. etinkaya, A novel and efficient algorithm for adaptive filtering:artificial bee colony algorithm, Turkish Journal of Electrical Engineering& Computer Sciences Vol. 19 (2011) 175–190. 16. D.T. Pham, E. Kog, A. Ghanbarzadeh, S. Otri, S. Rahim, M. Zaidi, The beesalgorithm—a novel. Tool for complex optimisation problems, in: IPROMS2006 Proceeding 2nd InternationalVirtual Conference on Intelligent ProductionMachines and Systems, Oxford, Elsevier, 2006. 17. LD, DhineshBabu, and P. Venkata Krishna. "Honey bee behavior inspired load balancing of tasks in cloud computing environments." Applied Soft Computing 13.5 (2013): 2292-2303. 18. Krishna, P. V., Saritha, V., Vedha, G., Bhiwal, A., &Chawla, A. S. (2012). Quality-of-service-enabled ant colony-based multipath routing for mobile ad hoc networks. Communications, IET, 6(1), 76-83. 19. R.N. Calheiros, R. Ranjan, A. Beloglazov, C.A.F. De Rose, R. Buyya, CloudSim:a toolkit for modeling and simulation of cloud computing environments andevaluation of resource provisioning algorithms, Software: Practice and Experience41 (2011) 23–50, http://dx.doi.org/10.1002/spe.995. 20. R.N. Calheiros, R. Ranjan, C.A.F.D. Rose, R. Buyya, CloudSim: a novel frameworkfor modeling and simulation of cloud computing infrastructures and services,Computing Research Repository, vol. abs/0903.2525, 2009. 21. R. Buyya, R. Ranjan, R.N. Calheiros, Modeling simulation of scalable cloud computingenvironments and the cloudsim toolkit: challenges and opportunities in: Proceedings of the 7th High Performance Computing and Simulation Conference(HPCS 2009, ISBN: 978-1-4244-4907-1, IEEE Press, New York, USA),Leipzig, Germany, June 21–24, 2009. Authors: M.R Raja Ramesh, Ch.Satyananda Reddy Paper Activity Based Quality Assessment Technique for Software Requirement Specification Title: Abstract: Most software problems will arise based on the deficiencies that occur in software requirements specification development. It is essential to develop a quality requirement specification development, to achieve success for developing any 13. software product because this software requirement specification information will be used entirely in all project development stages. The current work is focused on assessment of software requirement specification based on the activities of software 56-61 product. The proposed work is evaluated with an example and is compared with other group namely case based reasoning and machine learning algorithms of quality assessment techniques. The results had shown the effectiveness of the proposed technique.

Keywords: quality models, software requirements specification development, quality requirement specification development, activity based assessment.

References: 1. K. Lochmann, D. Méndez Fernández and S. Wagner”A Case Study on Specifying Quality Requirements Using a Quality Model” APSEC December 4- 7, 2012, Hong Kong Copyright 2012 ACM. 2. Ron S . Kenett, “SOFTWARE SPECIFICATIONS METRICS: A quantitative approach to assess the quality of documents” 0-7803-3330-6/96/$5.00 1996-IEEE. 3. Gnesi, S.: Analysis of Software Requirements. IEI-CNR Pisa http://www.iei.pi.cnr.it/ERI/iei/qmslideseri.ppt (2000). 4. Roxana Saavedra1, Luciana Ballejos2, Mariel Ale3, “Quality Properties Evaluation for Software Requirements Specifications: An Exploratory Analysis” 5. Patra Thitisathienkul, Nakornthip Prompoon, “Quality Assessment Method for Software Development Process Document based on Software Document Characteristics Metric”, Journal of Intelligent Computing Volume 5 Number 4 December 2014. 6. Hussain, I., Ormandjieva, O., Kosseim, L. (2007). Automatic Quality Assessment of SRS Text by Means of a Decision-Tree- Based Text Classifier. Paper presented at the Quality Software, 2007. QSIC ’07. Seventh International Conference on. 7. Jani, H. M. (2010). Applying Case-Based Reasoning to software requirements specifications quality analysis system. Paper presented at the Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on. 8. Mat Jani, H., Tariqul Islam, A. B. M. (2012). A framework of software requirements quality analysis system using case-based reasoning and Neural Network. Paper presented at the Information Science and Service Science and Data Mining (ISSDM), 6thInternational Conference on New Trends in. 9. DavisA. Davis, S. Overmyer, K. Jordan, J. Caruso, F. Dandashi, A. Dinh, et al. (1993). Identifying and measuring quality in a software requirements specification. Paper presented at the Software Metrics Symposium. In: Proceedings., First International. 10. Kenett, R. S. (1996). Software specifications metrics: a quantitative approach to assess the quality of documents. Paper presented at the Electrical and Electronics Engineers in Israel, Nineteenth Convention of. 11. Lami, G., Gnesi, S., Fabbrini, F., Fusani, M., Trentanni, G. (2004). An automatic tool for the analysis of natural language requirements. Informe técnico, CNR Information Science and Technology Institute, Pisa, Italia, Setiembre. 12. Jani, H. M. (2007). Online Quality Analysis of the Requirements Specifications Phase of the Software Development Cycle. Paper presented at the South East Asian Association for Institutional Research (SEAAIR), Bangkok, Thailand. 13. Génova, G., Fuentes, J., Llorens, J., Hurtado, O., Moreno, V. (2013). A framework to measure and improve the quality of textual requirements. Requirements Engineering, 18 (1), 25-41. 14. Carlson, N., Laplante, P. (2014). The NASA automated requirements measurement tool: a reconstruction. Innovations in Systems and Software Engineering, 10 (2), 77-91. 15. Iwona Dubielewicz1, Bogumia Hnatkowska1, Zbigniew Huzar1, Lech Tuzinkiewicz1, “An Approach to Software Quality Specification and Evaluation (SPoQE) 16. B.Mallikarjuna, P.Venkata Krishna “VCZRP: Enhancing Performance of Mobile Ad hocNetworks Using Virtual Coordinates” Indian Journal of Computer Science and Engineering(IJCSE), Volume.3 No.2, Apr- May 2012 ISSN: 0976-5166 page 298-303. 17. B.Mallikarjuna, N. Kusuma “Versatile Time cost Genetic Algorithm (VTCGA) for Non Preemptiv Critical Workflow tasks in Cloud Computing Environment” InternationalJournal on computing communications and Systems(IJCCS), Vol-4, Issue-1 Feb-2015. 18. B.Mallikarjuna, K.V.Ramanaiah, P.Mohanaiah, and V.Vijay Kumar Reddy “RecognizingHuman Object Using Genetic Algorithm for Face Detection in Natural DrivingEnvironment”i-manager’s Journal on Software Engineering, ISSN: 2230-7168 Vol. 7 No.2, and October- December 2012 page10-18. 19. B.Mallikarjuna, V.Saritha, Ch.Puspalatha ”Fault tolerant Resource Management MutualExclusion Algorithm for Mobile Ad hoc networks” International Journal of Scientific andResearch Publications, Volume 2,Issue 4, April 2012 Edition, ISSN 2250-3153. 20. VeeraRaghavulu, B Mallikarjuna “Methods for seeking of information on the WWW“International Journal of Scientific and Research Publications, Volume 2, Issue 3,March 2012 Edition" Page 332-337. Authors: DwarapuSuneetha, MogallaShashi Paper Hybrid Clustering for Identification of Distinct Topics of a Domain using User Influence Pattern Title: Abstract: Content based tweet clustering is extensively used for automatic topic identification of tweets in social media analytics. However due to restrictions on the length of the content in social media platforms like twitter mere content is not enough to provide sufficient information for clustering. In this paper the authors proposed to enhance the clustering quality by adding tweeting behavior of influential users. Spearmen correlation is appropriately adapted for identifying mergeable clusters. A new methodology for hybrid clustering is proposed and tested using entropy on real data related to three domains namely sports, politics, and health. The proposed method achieved distinct cluster formation which is reflected by reduced entropy after applying merging based on user influence patterns.

Keywords: Tweet clustering, entropy, influence patterns, hybrid clustering

References: 1. Meeyoung Cha., HamedHaddadi.,FabricioBenevenuto., Krishna P..Gummadi. “Measuring User Influence in Twitter: The Million Follower Fallacy”. Proceedings of the Fourth international AAAI Conference on Weblogs and Social media 14. 2. Zhenhua Wang., LidanShou., Ke Chen., Gang chen., and sharadmehrotra, ”On summarization and timeline generation for evolutionary tweet streams”, IEEE Transactions on Knowledge and data engineering, Vol 27, No.5 May 2015. 3. Hungyuncai., Zi Huang., Diveshsrivatava., and Qing zhang, “Indexing evolving events from tweet streams”, 62-67 4. VasiliiA.Gromov., and Anton .S.Konev, ”Precious identification of popular topics on twitter with the employement of predictive clustering”, Neural Comput&Applic ,DOI 10.1007/s00521-016-2256-1. 5. Lei Tang.,andHuan Liu, ” Leveraging social media networks for classification”, Data Mining Knoweledge discovery, DOI 10.1007/s10618-010-0210-x 6. Yi-chen Lo., Jhao-Yin-Li., Mi-YenYeh.,Shou-de Lin., and Jianpei,” What distinguishes one from its peers in social networks ” Data mining and knowledge discovery(2013) 27:396-420 DOI 10.1007/S 10618-013-0330-1. 7. Jose L.Hurtado., AnkurAgarwal., and Xingquan Zhu, “ Topic discovery and future trend forecasting for texts”, Journal of big data(2016)3:7,DOI 10.1186/s40537-016-0039-2. 8. Ryosuke Nishi., Taro Takaguchi., Keiguoka.,TakanoriMachara., and NaokiMasuda, “ Reply trees in twitter:data analysis and branching process models, Social Network Analysis Mining (2016) 6:26, DOI 10.1007/s 13278-016-0334-0. 9. Wayne Xin Zhao., Sui Li Yulan He., Edward Y.Chang., Ji-rong wen., and Xiaoming li, “Connecting social media to e-commerce: cold-start product recommendation using micro blogging information”, IEEE Transactions on knowledge and data engineering,Vol 10,No.10 XXX 2016. 10. Eva Garcia Martin., Nikalas., and Mina Doroud, “ Hashtags and Followers”, Social Networks Analysis Mining(2016) 6:12, DOI 10.1007/s13278-016- 0320-6 11. Wenjun Wang., and W.Nick Street., “Modelling Influence diffusion to uncover influence centrality and community structure in social networks, Social Network Analysis Mining (2015) 5:15 DOI 10.1007/s13278-015-0254-4. 12. XufeiWang.,Lei Tang.,HuanLiu.,AND Lei Wang,” Learning with multi resolution overlapping communities”Knoweledge and information systems(2013) 36;517-535 DOI 10.1007/s0115-012-0555-0 13. FabinRiqueine and Pablo Gonzalez- cantegiani, ”Measuring User Influence on twitter: A Survey” ar XIV:1508.07951V2[CS.S1] Authors: Prasad Devarasetty, Ch. Satyananda Reddy Paper Multi objective Ant colony Optimization Algorithm for Resource Allocation in Cloud Computing Title: Abstract: Cloud computing provides the services based on the pay-as-you-use policy. The more utilization of services leads to the utilization of more number of data centres. Therefore, data centres require high energy consumption for computing the tasks. To improve the efficiency of the data centre, resource management using the virtualization technology is the crucial factor. This paper concentrates on the issue of virtual machine placement and also proposes the bio inspired approach for reducing the resource wastage, minimize the energy consumption and communication cost with in the data centre. Ant Colony Optimization (ACO) algorithm is proposed to obtain the solution set for multi-objective problem. The performance of the proposed algorithm is tested with the existing algorithms and it is proved that the proposed algorithm is efficient in terms of energy consumption, communication cost and resource utilization.

Keywords: Virtual placement, Cloud, Consolidation, Communication cost, Resources.

References: 1. Zhang, Qi, Lu Cheng, and RaoufBoutaba. "Cloud computing: state-of-the-art and research challenges." Journal of internet services and applications 1, no. 1 (2010): 7-18. 2. Calheiros, Rodrigo N., Rajiv Ranjan, Anton Beloglazov, César AF De Rose, and RajkumarBuyya. "CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms." Software: Practice and experience 41, no. 1 (2011): 23-50. 3. J. G. Koomey, "Worldwide electricity used in data centers," Environ. Res. Lett. vol. 3,2008. 4. E. Feller, "Autonomic and Energy-Efficient Management Of Large- Scale Virtualized Data Centers ", UNIVERSITÉ DE RENNES, 2013. 5. M. Stillwell, F. Vivien, and H. Casanova, "Virtual Machine Resource Allocation for Service Hosting on Heterogeneous Distributed Platforms," presented at the Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium, 2012. 6. Hayes, B., 2008. Cloud computing. Communications of the ACM, 51(7), pp.9-11. 7. Dikaiakos, Marios D., DimitriosKatsaros, PankajMehra, George Pallis, and Athena Vakali. "Cloud computing: Distributed internet computing for IT 15. and scientific research." IEEE Internet computing 13, no. 5 (2009). 8. E. Coffman Jr, J. Csirik, G. Galambos, S. Martello, and D. Vigo, "Bin Packing Approximation Algorithms: Survey and Classification," in Handbook of Combinatorial Optimization, P. M. Pardalos, D.-Z. Du, and R. L. Graham, Eds., ed: Springer New York, 2013, pp. 455-531. 68-73 9. W. Leinberger, G. Karypis, and V. Kumar, "Multi-Capacity Bin Packing Algorithms with Applications to Job Scheduling under Multiple Constraints," presented at the Proceedings of the 1999 International Conference on Parallel Processing, 1999. 10. A. Beloglazov, J. Abawajy, and R. Buyya, "Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing," Future Generation Computer Systems, vol. 28, pp. 755- 768, 5// 2012. 11. A. Beloglazov and R. Buyya, "Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud Data Centers Under Quality of Service Constraints," Parallel and Distributed Systems, IEEE Transactions on, vol. PP, pp. 1-1, 2012. 12. E. Feller, L. Rilling, and C. Morin, "Energy-Aware Ant Colony Based Workload Placement in Clouds," in Grid Computing (GRID), 2011 12th IEEE/ACM International Conference on, 2011, pp. 26-33. 13. Farahnakian, Fahimeh, TapioPahikkala, PasiLiljeberg, JuhaPlosila, and HannuTenhunen. "Utilization prediction aware vm consolidation approach for green cloud computing." In Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on, pp. 381-388. IEEE, 2015. 14. Sigwele, Tshiamo, AtmShafiulAlam, PrashantPillai, and Y. Fun Hu. "Evaluating energy-efficient cloud radio access networks for 5G." In Data Science and Data Intensive Systems (DSDIS), 2015 IEEE International Conference on, pp. 362-367. IEEE, 2015. 15. Wang, Tingting, Zhaobin Liu, Yi Chen, YujieXu, and Xiaoming Dai. "Load balancing task scheduling based on genetic algorithm in cloud computing." In Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on, pp. 146-152. IEEE, 2014. 16. Dam, Scintami, GopaMandal, KousikDasgupta, and ParamarthaDutta. "Genetic algorithm and gravitational emulation based hybrid load balancing strategy in cloud computing." In Computer, Communication, Control and Information Technology (C3IT), 2015 Third International Conference on, pp. 1-7. IEEE, 2015. 17. Ramezani, Fahimeh, Jie Lu, JavidTaheri, and FarookhKhadeerHussain. "Evolutionary algorithm-based multi-objective task scheduling optimization model in cloud environments." World Wide Web 18, no. 6 (2015): 1737-1757. 18. Zhang, Miao, Huiqi Li, Li Liu, and RajkumarBuyya. "An adaptive multi-objective evolutionary algorithm for constrained workflow scheduling in Clouds." Distributed and Parallel Databases (2017): 1-30. 19. Wu, Tingming, HaifengGu, Junlong Zhou, Tongquan Wei, Xiao Liu, and Mingsong Chen. "Soft error-aware energy-efficient task scheduling for workflow applications in DVFS-enabled cloud." Journal of Systems Architecture 84 (2018): 12-27. 20. Basu, Sayantani, MarimuthuKaruppiah, K. Selvakumar, Kuan-Ching Li, SK Hafizul Islam, Mohammad Mehedi Hassan, and MdZakirulAlamBhuiyan. "An intelligent/cognitive model of task scheduling for IoT applications in cloud computing environment." Future Generation Computer Systems (2018). 21. Perumal, Boominathan&Karuppiah, Marimuthu&Shenoy, A &Hooda, G & Reddy, S. (2014). An approach towards defense of DDOS attacks in cloud computing using confidence based filtering and hop count filtering techniques. International Journal of Applied Engineering Research. 9. 7177-7190. Authors: Muhammad Farrukh, Mairaj Qazi, Aamir Ali Lakho, Muhammad Rafique Abro Paper Solar Based Controller Designing For Starting & Speed Control of Induction Motor Title: Abstract: This paper describes the implementation of Solar Based Controller which is designed to control the starting (inrush) current and speed of Induction Motor. The motor in starting causes I2R losses due to heavy starting (inrush) current that will overheat the engine and also may damage the motor windings. Despite the fact, many countries are currently facing the threatening problems of load shedding because of fluctuation of oil prices, faulty distribution system, ageing of equipment, and mismanagement of resources, economic & political Instability etc. This issue has been very devastating for the national economy as the industries are being adversely affected due to this severe shortfall. Accordingly, in this design, we have used solar energy to feed our system & to start (inrush) current is controlled by using Star-Delta technique. In Star-Delta technique, 16. the first motor will run in star connection & then in the delta, and the overall process of switching is done through PLC (S7200), the line current drawn with star connection initially is decreased to one- third of starting current as compared with 74-78 the windings linked directly in the delta. The speed of the motor is controlled by altering the applied frequency and voltage from the inverter to maintain different loads. The cost-effective & robust system designed was successfully experimented to implement it in industries where motors are widely operated like (Coalmines, Chemical, Textile, Cement, Sugar mills) etc.

Keywords: Induction motor, Star-Delta Controller, Solar panel, Inverter, PLC S7200, ladder logic.

References: 1. Yu H. The Design and Realization of PID Liquid Level Control System Based on S7-200 and EM235. IEEE International Conference on Intelligent Computation Technology and Automation (ICICTA). 2010; 762-765. 2. Fernando J. T. E. Ferreira. On the Star, Delta and Star-Delta Stator Winding Connections Tolerance to Voltage Unbalance. IEEE International Conference on Electric Machines & Drives (IEMDC). 2015; 1888-1894. 3. O. Misir, S. M. Raziee, N. Hammouche, C. Klaus, R. Kluge, B. Ponick. Prediction of Losses and Efficiency for Three-Phase Induction Machines Equipped with Combined Star-Delta Windings. IEEE Transactions on Industry Applications (TIA), 2017; 1-1. 4. Farrukh M, Halepoto IA, Chowdhry BS, Kazi H and Lal B. Design and Implementation of PLC based Automatic Liquid Distillation System. Indian Journal of Science and Technology. 2017; 10(29). 5. R. Alamsyah, D.M. Gandana, Nasril, D. Astharini. Implementation of Turret System Control With Induction Motor On CNC Lathe Using PLC Siemens S7-200. IEEE International Symposium on Electronics and Smart Devices (ISESD). 2016; 214-218. 6. Siemens SIMATIC S7-200 PLC, http://www.automation.siemens.com. 7. J. M. Peña, E. Vásquez Díaz. Implementation of V/f scalar control for speed regulation of a three-phase induction motor. IEEE Conference (ANDESCON). 2016; 1-4. 8. D. Amudhavalli, L. Narendran. Speed Control of an Induction Motor by VIF Method using 9. an Improved Z Source Inverter. IEEE Internation Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM). 2010; 436-440. 10. Sachin Hegde, Sachin Angadi, A. B. Raju. Speed control of 3-phase induction motor using volt/hertz control for automotive application. IEEE International Conference on Circuits, Controls, Communications and Computing (I4C). 2016; 01-05. Authors: Saqib Mehmood, Shakeel Ahmed, Anders Schmidt Kristensen Paper Multi Criteria Decision Analysis (MCDA) of Unmanned Aerial Vehicles (UAVs) as a Part of Standard Response to Title: Emergencies Abstract: Objecitve: To investigate whether the incorporation of Unmmaned Areial Vehicles (UAV) into emergency services is better than the manned drone and conventional means of transportation.Methodology: Multi Criteria Decision Analysis (MCDA) is applied to analyse four options to respond to emergencies. These four options are manned drone, UAV, helicopter and vehicle of incident commander. Findings: The UAV costs less than helicopters and manned drones and it is faster than incident commander’s vehicle. The analysis based on three important parameters of response time, cost and availability of the option to reach at the scene of crash in most of the conditions, reveals that UAV is the best option. Application:Based on the findings of the study, it is recommended to include UAV as a part of standard response to emergencies.

Keywords: Automated External Defibrillator, fire and rescue services, multi criteria decision analysis, response time, and unmanned aerial vehicles

References: 1. Sánchez-Mangas, R., García-Ferrrer, A., De Juan, A., & Arroyo, A. M. (2010). The probability of death in road traffic accidents. How important is a quick medical response?. Accident Analysis & Prevention, 42(4), 1048-1056. 2. The Guardian UK (2016, April 12) Ambulance delays linked to 35 deathsinpastfiveyears.Retrievedfrom https://www.theguardian.com/society/2016/may/22/ambulance-delays-linked-to-35-deaths-in-past-five-years 3. Paul, Kendall. (2017). Thousands die from ambulance delays. The Daily Mail online. Retrieved http://www.dailymail.co.uk/health/article- 55521/Thousands-die-ambulancedelays.html 17. 4. Sydvestjysk Brandvæsen (2016). Generel beredskabsplan 2016 - Esbjerg, Varde og Fanø kommunerDepartment for Communinities and Local Governament (2009). Multi-criteria analysis: a manual. 79-85 5. Statistics Denmark (2017, April) Living condition, traffic accidents, Road traffic Accidents uheldk1: injured and killed in road traffic accidents by region. casualty. motor vehicles involved. age and sex. Retrieved from http://www.statbank.dk/statbank5a/default.asp?w=1600 6. Alec Momont (2016) Ambulance Drone, Delft University of Technology(2016).Retrievedfromhttps://www.tudelft.nl/en/ide/research/research- labs/applied-labs/ambulance-drone/ 7. Dronethusiast, Home, News, EHang 184 is a Manned UAV You Will Never Get to Fly (2017, August 07).Retrieved from http://www.dronethusiast.com/ehang-184-is-a-manned-uav-you-will-never-get-to-fly/ 8. Kjellberg, P. K., Hesselfeldt, R., Rasmussen, L. S., & Kjellberg, J. (2012). Akutlægehelikopter i Danmark. Evaluering af forsøg med akutlægehelikopter på 9. Sjælland (DSI rapport 2012.01). København: Dansk Sundhedsinstitut & Anæstesi-og operationsklinikken, HOC, Rigshospitalet. 10. Mark Prigg (2014, October 29) The ambulance drone that could save your life Published by Associated Newspapers Ltd Part of the Daily Mail, The Mail on Sunday & Metro Media Group. Daily Mail Online, Retrieved from http://www.dailymail.co.uk/sciencetech/article-2811851/The-ambulance- drone-save-life-Flying-defibrillator-reach-speeds-60mph.html 11. Clemen, R. T., & Reilly, T. (2013). Making hard decisions with DecisionTools. Cengage Learning.Transportministeriet (2010) værdisætning af transportens eksterne omkostninger 12. Iwanicki, J. (2010). Survival after Application of Automatic External Defibrillators before Arrival of the Emergency Medical System: Evaluation in the Resuscitation Outcomes Consortium Population of 21 Million: Weisfeldt ML, Sitlani CM, Ornato JP, et al. J Am Coll Cardiol 2010; 55: 1713– 20. Journal of Emergency Medicine, 39(3), 395. 13. Danish Road Safety Commission (2012). Every accident is one too many–a shared responsibility.Denmark 14. Transportministeriet, (2010) Værdisætning af transportens eksterne omkostninger, Rapport. Denmark 15. Mehmood, S., & Ahmed, S. (2017). Incorporation of Drones into Fire and Rescue Service of Esbjerg Municipality for a Robust Emergency Response.Kujawski, E. (2003, July). 4.7. 3 Multi‐Criteria Decision Analysis: Limitations, Pitfalls, and Practical Difficulties. In INCOSE International Symposium (Vol. 13, No. 1, pp. 1169-1176). 16. Mehmood, S., Kristensen, A. S., Ahmed, S., & Ahsan, D. (2017). Rescue Emergency Drone (RED) for Fast Response to Medical Emergencies Due to Traffic Accidents. In world Academy of Science, Engineering and Technology. Conference (Vol. 11, No.11). Authors: Premalatha K ,Adithya K Paper Performance Monitoring & Tracking Of MCCB & RCCB Title: Abstract: This paper presents Performance monitoring & tracking of MCCB which enables us to achieve Key Performance Indicator (KPI) effectively and reduces the time and cost for a company. KPI is a measurable value that determines how a company is achieving its business objectives effectively. Smart KPI- specific, measurable, attainable, 18. relevant, time bound is applied to system. KPI for an organization usually happened during strategic planning, whether it is monthly, yearly or frequently the goal is to achieve the same objectives. 86-87

Keywords: Key performance indicator, magnetic pull, nominal rating, calibration.

References: 1. James Evans and James.W Dean, “Total Quality Management, Organization, Strategy”, Second Edition, South Western, Divison of Thomson Learning, 1999 2. Irwin, “Quality Management” Second Edition, McGraw Hill Higher Education. USA. 3. Sunil S Rao, “Switchgear Protection and Power System”, Second Edition, Khanna Publishers, India. 4. https://www.electrical.com/routine-test-of-circuit-breakers Authors: Rajesh Ramachandran, Suryaprakash Shanmugasundaram, Bala Kumar. A. P Paper Smart Socket for Eliminating Phantom Power Title: Abstract: In our modern age, many people have multiple devices such as laptops, tablets, and smartphones, all of which needs to be frequently charged to keep us connected. This has led to multiple chargers being left at home and at the office, often plugged into the wall with the cord conveniently waiting to charge your phone for next time. Chargers continually draw power from a wall socket, even when your device is not attached, and while this amount could be as little say 0.25 Watts of energy, imagine that compounded over 4-5 devices for a year will lead to 2190 Wh per year for a single user. According to Telecom authority of India, Tamil Nadu has 71.81 million smartphone subscribers [1] so this phantom power consumption must be accountable. Additionally standby loads are found to be next phantom power consumers which consumes power when appliance switched off or not performing its primary functions. This proposed work will eliminate wastage of power at standby and prevent overcharging of mobile phones furthermore turn off scheduler is incorporated for planned operated loads.

Keywords: Standby loads, Smart socket, Over charging, Demand, Energy saving 19. References: 88-91 1. W. K. Park C. S. Choi I. W. Lee J. Jang "Energy efficient multi-function home gateway in always-on home environment" IEEE Trans. Consum. Electron. vol. 56 no. 1 pp. 106-111 Mar. 2010. 2. R. W. Beattie, G. Forshaw and E. N. Leney, "Design, material and performance of plugs and sockets for electronic switching applications," in Proceedings of the IEE - Part B: Electronic and Communication Engineering, vol. 109, no. 21, pp. 102-110, 1962.doi: 10.1049/pi-b-2.1962.0020 3. ManikandaPrasath K., Balaji M,” A Green Supply Chain Agility Index For E- Commerce Business: An Indian Perspective Using Interpretive structural Modeling” Journal Of Advanced Research In Dynamical And Control Systems, Vol9no6, 2017, pp1913-1925. 4. K. L. Tsai, F. Y. Leu and I. You, "Residence Energy Control System Based on Wireless Smart Socket and IoT," in IEEE Access, vol. 4, pp. 2885-2894, 2016. doi: 10.1109/ACCESS.2016.2574199 5. Suh Y. B. Ko "Design and implementation of intelligent home control systems based on active sensor networks" IEEE Trans. Consum. Electron. vol. 54 no. 3 pp. 1177-1184 Aug. 2008. 6. M. Collotta and G. Pau, "A Novel Energy Management Approach for Smart Homes Using Bluetooth Low Energy," in IEEE Journal on Selected Areas in Communications, vol. 33, no. 12, pp. 2988-2996, Dec. 2015. doi: 10.1109/JSAC.2015.2481203 7. T. D. Raheni and P. Thirumoorthi, "Intelligent control of shunt active power filter for minimization of current harmonics," TENCON 2017 - 2017 IEEE Region 10 Conference, Penang, 2017, pp. 2846-2851. doi: 10.1109/TENCON.2017.8228346 8. Mathankumar M, Viswanathan T, Dineshkumar T, Implementation of Data Gathering system using mobile relay node in Wireless Sensor Network, International Journal of Pure and Applied Mathematics (IJPAM), vol116no11,, 2017, pp. 111-119. Authors: S. Umamaheswari, M. Alagumeenaakshi Paper Interactive Voice Response System evelopment Title: Abstract: Interactive Voice Response System (IVRS) is a automation tool that generates automated voice to address the queries raised by human through interactive voice response (speech recognition) and dual tone multi frequency (DTMF) tones input provided via keypad. This IVRS assistance plays a major role in improving the interactive experience of customers and can handle repetitive addressing of wide range of customers in a public service providing environment. Proper access to right information at appropriate time can solve the issues spawned to different customer situations. This system provides dynamic information to the customers and route them to the appropriate servicing section based on the text input options.This IVR system is an efficient and cost effective solution for establishing a personalized customer experience providing magnificent growth in the productivity of a company.It blends the inbound calls with outbound IVR integrating the self-service applications with agent assisted process and can increase the actual talk-time with customers. This work has been concentrated towards IVR application for one of the tenants. Special effort has been made to develop and test advanced outbound features successfully.

Keywords: Interactive voice response, Dual tone multi frequency,self-service applications,agent assisted. 20. References: 92-95 1. 0020Santosh A. Kulkarni, Dr. A.R.Karwankar, “IVRS For college automation”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 1, Issue 6, August 2012. 2. Xiaoqing Wang, Penghua Sun,“ Research and Implementation Of Large Scale Enterprise-class Call Center”, 978-0-7695-4647-6/12 $26.00 © 2012 IEEE DOI 10.1109/ICCSEE.2012.313. 3. Mudili Soujanya, Sarun Kumar, “Personalized IVR system in Contact Center”, 978-1-4244-7681-7/$26.00 C 2010 IEEE. 4. Atul Gaikwad, Viraj Gaikwad, Girish Gaikwad, Rahul Dhere, “TELEPURCHASING USING IVR SYSTEM”, IJESS Volume2, Issue5 (May-2012) ISSN: 2249- 9482. 5. Anil Kumar, S. Niranjan, “Design, Development and Implementation of an Automated IVR System with feature based TTS using Open Source Tools.”, International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Vol. 1 Issue 3, May – 2012. 6. http://en.m.wikipedia.org/wiki/telemarketing. 7. Michael Massoth and Thomas Bingel “Performance of different mobile payment service concepts compared with a NFC-based solution”, 2009 Fourth International Conference on Internet and Web Applications and Services 8. Ritesh Chauhan, Vivek Joshi and Aanchal Jain, “A Comprehensive Study of Design, Development and Implementation of an Automated IVR Systems”, IRACST - International Journal of Computer Science and Information Technology & Security (IJCSITS), ISSN: 2249-9555, Vol. 2, No.6, December 2012 9. Umamaheswari.S,C.Kavitha,S.M.Chandru and J.N.Swaminathan, Nov 2017 “ Machine learning for connecting humans for different applications-A critical review”.IJPAM, Volume 117 No. 8, PP- 167-171, Nov 2017. 10. Umamaheswari, S &J.N.Swaminathan, “ Percentage of time analysis for wormhole attack using different topology”, IJPAM, Dec 2017 21. Authors: K Rajalashmi, S Vignesh, K.Senthilnathan Paper Development of an Automated Side Lock System for Ensuring Safety and Security In Two Wheelers Title: Abstract: The main motive of the work is to develop an automated system for two wheelers to operate the side lock feature. In the day-to-day scenario, everyone is running out of time which makes the rider to forget the side lock in the vehicle when he stops and gets down. This may lead to theft as well as mishandling of the parked vehicle which is not side locked. The ultimate goal of the present investigation is to avoid such situations there by installing an automated side locking system in the two wheelers. The working of this system is very simple such that when the key is unlocked, a signal is sent to the servo motor which fixed at the base of the handle bar. The servo motor rotates the handle bar to a particular angle after which a signal is sent to the locking system and it tends to side lock the vehicle on its own.

Keywords: Two wheelers; theft; handle bar; locking system; servo motor; side lock feature

References: 1. H. Chen and Xin Lin, "Automatic locked control system of vehicle drunken driving based on PIC16F877A," 2011 Second International Conference on Mechanic Automation and Control Engineering, Hohhot, 2011, pp. 1080-1082. 2. P. Kučera, V. Píštěk, "Mechatronic system of automatic and manual differential lock control vehicle turning," 2016 17th International Conference on 96-98 Mechatronics -Mechatronika(ME), Prague, 2016, pp. 1-4. 3. Z. Xianmin, L. Mingxi, L. Lishun and Z. Junqing, "Dynamic Analysis of Unlocking Process of Vehicle Differential Lock Automatic Control System," 2011 Third International Conference on Measuring Technology and Mechatronics Automation, Shangshai, 2011, pp. 1116-1120. 4. O. Tur, O. Ustun and R. N. Tuncay, "An Introduction to Regenerative Braking of Electric Vehicles as Anti-Lock Braking System," 2007 IEEE Intelligent Vehicles Symposium, Istanbul, 2007, pp. 944-948. 5. C. Xu, K. W. E. Cheng, L. Sha, W. Ting and K. Ding, "Simulation of the integrated controller of the anti-lock braking system," 2009 3rd International Conference on Power Electronics Systems and Applications (PESA), Hong Kong, 2009, pp. 1-3. 6. T. Monawar, S. B. Mahmud and A. Hira, "Anti-theft vehicle tracking and regaining system with automatic police notifying using Haversine formula," 2017 4th International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, 2017, pp. 775-779. 7. S. Vitabile, S. Bono and F. Sorbello, "An Embedded Real-Time Lane-Keeper for Automatic Vehicle Driving," 2008 International Conference on Complex, Intelligent and Software Intensive Systems, Barcelona, 2008, pp. 279-285. 8. B. Lu, Y. Wang, J. Wu and J. Li, "ABS system design based on improved fuzzy PID control," 2010 Sixth International Conference on Natural Computation, Yantai, 2010, pp. 62-65. 9. C. Wu, J. Duan and Y. Yu, "A Hardware in Loop Test System for Pneumatic Anti-lock Brake System," 2010 International Conference on Measuring Technology and Mechatronics Automation, Changsha City, 2010, pp. 105-108. Authors: R. Deepa, S. Lakshmipriya Paper Crystal Locked Medium Wave Transmitter Title: Abstract: The main aim of the project is to transmit the signals in a short range within the house or in a campus and mainly the usage of this project is to make the signals more reliable and efficient to the users. The crystal used here generates the frequency signals that cover about 600 meters of distance. The system was defined to produce a low power; low cost system. The transmitter used here is an LM386 audio preamplifier, which is mainly used in the process of maintaining low voltage and low power amplifier circuitry. The proposed work transmits the voice signals and mainly in use of sending the music signals only to a short range. They transmit a low frequency signal for a higher extent. It is a reliable device with low cost and low energy consumption. The first radio was designed by the German physicist ‘heinrich hertz’ and produces a high range of frequency signals in-between two metal conductors. In olden days, many an Amplitude Modulation (AM) broadcasting systems were been at prevalence. But they have disadvantages like high cost; lose of signals, high transmission power and many more. The defined system has a great merit. This system radiates a high electromagnetic wave and an electronic system which converts low voltage ac into high frequency (radio signal) alternating current without any loss. The proposed work uses the Frequency Modulation (FM) which broadcasts and provides high efficiency and no interference between the signals. They have high transmission rate and high signal to noise ratio. 22.

Keywords: crystal, transmitter, frequency modulation, amplitude modulation. 99-102

References: 1. Wireless Microphone System [Online]. Available at the website of the given link below www. jstage. jst. go. jp/ article /ieiej/31/11/31_858 2. Digital Signal Processing in RF Applications [Online]. Available at the resourced journal cas. web. cern. ch/ cas/ Sweden2007/Lectures. 3. Web-versions/Schilcher-1.pdf is the published version of online resource for FM microwave communication systems. 4. Electronic Drums [Online]. Available at pwc.theclarkwebsite.com/piezos.php 5. Wang, et.al. “Energy harvesting with the piezoelectric drum transducer” Applied Physics Letters 90, 113506, pp. 1-3, 2007. 6. www.eetimes.com/design/microwave-rfdesign/4237982/ How -to- design-a-digital-FM-radio. 7. MiomirFilipovic, Radio Receivers, from crystal set to stereo an online resource of pub nets. 8. BhavyaDaya, Super-heterodyne FM Receiver an online e book published in the year of 1994 under the Thomson recruiters publication. 9. Design and Simulation, University of Florida, Gainesville, FL, 32608, USA. 10. Christopher Williams, Integrated Circuit FM Receiver using Bipolar Linear Array GA911 Technology, Faculty of Engineering and Computer Science Concordia University March 2011. 11. Hongwu Tong E98, An RF Amplifier for a FM - Radio Receiver 88-108 MHz, Radio Project 2003 Electro science, Lund University. 12. Andrew Hull, Integral Parts of a Typical FM Receiver, Electronic Communications, fall 2008. 13. www.analog.com/library/analog/pspice/ulibsDialogue/archives/4309/EDCh%204%20rf%20if.pdf 14. Nitescu-Henry (1), A Fully-Integrated FM Discriminator for RDS Applications, Laboratory of Microelectronics, Systems, Bucharest, Romania Authors: Bharanidharan N, Harikumar Rajaguru, Geetha V Paper Performance Analysis of KNN Classifier with and Without GLCM Features In Brain Tumor Detection Title: Abstract: This paper presents the K-Nearest Neighbour (KNN) classifier combined with Grey Level Co-occurrence 23. Matrix(GLCM) feature extraction technique for brain tumor detection using MATLAB software. Thirty MRI images obtained from the clinical sources are analyzed in this study. Though KNN classifier is less time consuming, it has a 103-106 disadvantage of less accuracy. To improve the accuracy of KNN classification, GLCM feature extraction is used. Performance of KNN classifier is analyzed with and without GLCM feature extraction.

Keywords: Tumor detection- Classifer- Feature extraction-KNN-GLCM

References: 1. Louis D.N., Ohgaki H., Wiestler O.D, Cavenee W.K. (2017), “WHO Classification of Tumors of the Central Nervous System”, International Agency for Research on Cancer (IARC), Lyon, France 2. Ritu Rana, Parvinder Singh (2015), “Brain Tumor Detection through MR Images: A Review of Literature”, IOSR Journal of Computer Engineering (IOSR-JCE), Volume 17, Issue 5, PP 07-18 3. P A McKinney (2017), ”Brain Tumours: Incidence, Survival, and Aetiology”, Neurology in Practice, doi: 10.1136/jnnp.2004.040741 4. Rodriguez (2004), Principles of Magnetic Resonance Imaging, Revista Mexicana de Fisica, Vol. 50, No. 3, pp. 272-286. 5. Riddhi.S.Kapse , Dr. S.S. Salankar , Madhuri.Babar (2015), ”Literature Survey on Detection of Brain Tumor from MRI Images”, IOSR Journal of Electronics and Communication Engineering (IOSR-JECE), Volume 10, Issue 1, PP 80-86. 6. Cover, T.M. (1968) "Rates of convergence for nearest neighbor procedures", In Proceedings of the Hawaii International Conference on System Sciences, Univ. Hawaii Press, Honolulu, 413–415. 7. Cover, T.M. & Hart, P.E. (1967) "Nearest neighbor pattern classification", IEEE Trans. Inf. Theory, 13: 21–27. 8. Dudani, S.A. (1976) "The distance-weighted k-nearest neighbor rule", IEEE Transactions on System, Man, and Cybernetics, 6: 325-327. 9. Guo, G., Wang, H., Bell, D., Bi, Y. & Greer, K., (2006) "Using KNN Model for Automatic Text Categorization", Soft Computing –A Fusion of Foundations, Methodologies and Applications 10(5): 423–430. 10. Gou, J., Du, L. Zhang, Y. & Xiong, T. (2012) "A New Distance-weighted k-nearest Neighbor Classifier", Journal of Information & Computational Science, 9(6): 1429-1436. Authors: Haritha J, Valarmathi R S, Arun Chendhuran R, Aravind S, Balamurugan V T Paper Characterization of Capacitive Sensor for Measurement of Urea In Bovine Urine Title: Abstract: A capacitive sensing probe is suggested to detect the concentration of urea in bovine urine samples. The variation in the relativepermittivity of the medium measures the change in capacitance, magnitude and phase parameters due to the change in concentration of urea in bovine urine. The sensor characteristics are observed for the simulating frequencies of 100Hz, 1 kHz, and 10 kHz and20kHz for the entire experiment. It is observed that there is a linear increment in magnitude and phase accompanied with a linear decrement in the capacitance. The sensor can identify a range from 10mg to 100mg of urea per ml of urine. It is also obvious that change in capacitance is better compared to the magnitude and phase variations of the sensing probe.

Keywords: Urea, bovine urine, capacitance.

References: 1. Manuel Gutierrez, Salvador Alegret, and Maneldel Valle. Bioelectronic tongue for the simultaneous determination of urea, creatinine and alkaline ions in clinical samples. Biosensors and Bioelectronics, 23(6):795 - 802, 2008. 2. J.W. Spek, A. Bannink, G. Gort, W.H. Hendriks, and J. Dijkstra. Interaction between dietary content of protein and sodium chloride on milk urea concentration, urinary urea excretion, renal recycling of urea, and urea transfer to the gastrointestinal tract in dairy cows. Journal of Dairy Science, 96(9):5734 - 5745, 2013. 3. Adnan Khan Hamayun Khan SajjadHaiderTahseen Kamal Nauman Ali, Muhammad Ismail. Spectrophotometric methods for the determination of urea in real samples using silver nanoparticles by standard addition and 2nd order derivative methods. Elseiver, page 110, 2017. 4. KanchanmalaDeshpande Sunil BhandGeetesh K. Mishra, Atul Sharma. Flow injection analysis biosensor for urea analysis in urine using enzyme 24. thermistor. 174(3):998-1009, 2014. 5. Marchenko S. V., Kucherenko I. S., Soldatkin O. O., and Soldatkin A. P. Potentiometric biosensor system based on recombinant urease and creatininedeiminase for urea and creatinine determination in blood dialysate and serum. Electro analysis, 27(7):1699-1706. 107-110 6. Ahmad, NirmalyaTripathy, and Yoon-Bong Hahn. Highly stable urea sensor based on ZnOnanorods directly grown on Ag/glass electrodes. Sensors and Actuators B: Chemical, 194:290 - 295, 2014. 7. Francoise Roch-Ramel. An enzymic and fluorophotometric method for estimating urea concentrations in nanoliter specimens. Analytical Biochemistry, 21(3):372 - 381, 1967. 8. Zhengpeng Yang, Xianguang Shang, Chunjing Zhang, and Jian-ping Zhu. Photoelectrochemical bilirubin biosensor based on fe3o4/hydroxyapatite/molecularly imprinted polypyrrole nanoparticles. Sensors and Actuators B: Chemical, 201:167 - 172, 2014. 9. RoliVerma and Banshi D. Gupta. A novel approach for simultaneous sensing of urea and glucose by SPR based optical fiber multianalyte sensor. Analyst, 139:1449-1455, 2014. 10. Anita Hamilton and Carmel Breslin. The development of a novel urea sensor using polypyrrole. 145:19-26, 11 2014. 11. Jose Roberto SiqueiraJr, Denise Molinnus, Stefan Beging, and Michael J Schoening. Incorporating a hybrid urease-carbon nanotubes sensitive Nano film on capacitive field-effect sensors for urea detection. 86, 05 2014. 12. Paul S. Francis, Simon W. Lewis, and Kieran F. Lim. Analytical method-ology for the determination of urea: current practice and future trends. TrAC Trends in Analytical Chemistry, 21(5):389 - 400, 2002. 13. SubrataMondal and M.V. Sangaranarayanan. A novel non-enzymatic sensor for urea using a polypyrrole-coated platinum electrode. Sensors and Actuators B: Chemical, 177:478 - 486, 2013. 14. RashmiChaudhari, Abhijeet Joshi, and RohitSrivastava. Ph and urea estimation in urine samples using single fluorophore and ratiometric fluorescent biosensors. Scientific Reports, 7(1):5840, 2017. 15. A Kessler and L Siekmann. Measurement of urea in human serum by isotope dilution mass spectrometry: A reference procedure. 45:1523-9, 10 1999. 16. TaherAlizadeh, Mohammad Reza Ganjali, and Faride Ra ei. Trace level and highly selective determination of urea in various real samples based upon voltammetric analysis of diacetylmonoxime-urea reaction product on the carbon nanotube/carbon paste electrode. AnalyticaChimicaActa, 974:54 - 62, 2017. 17. MuawiaAlqasaimeh, Lee YookHeng, Musa Ahmad, A.S. Santhana Raj, and Tan Ling. A large response range re ectometric urea biosensor made from silica-gel nanoparticles. Sensors, 14(7):13186-13209, 2014. Authors: S.K.Dhinesh, R.Parameshwaran, S.Praveen Kumar Paper Influence of High Voltage on Heat Transfer Performance in Automobile Radiators Title: Abstract: Radiators are heat-exchanging devices used to transfer heat from one medium to other medium. The radiators 25. are used for variety of applications such as vehicles, mining operations, constructions, industries, etc. In automobiles, radiators are mainly used reduce the heat in the engine block. In recent days, a special type of coolant is used to circulate 111-114 through the engine block and the heat transfer takes place. Heat transfer takes place between the hot water stream to the cold air stream passing through the fins of the radiator. The heat transfer performance of the radiator is studies for the three different coolant compositions subjected to the high voltage electric field, the efficiency is calculated, and the radiator fan speed is optimized.

Keywords: Cooling performance, Established techniques, Optimal fan speed

References: 1. Masoud Dehghandokht, Mesbah G. Khan, Amir Fartaj, Sepehr Sanaye (2011) ‘Flow and heat transfer characteristics of water and ethylene glycol water in a multi-port serpentine meso-channel heat exchanger’ International Journal of Thermal Sciences Vol. 50 pp.1615-1627. 2. K.Y.Leong, R. Saidur, S.N.Kazi, A.H.Mamunc (2010) ‘Performance investigation of an automotive car radiator operated with nanofluid-based coolants (nanofluid as a coolant in a radiator)’ Applied Thermal Engineering Vol. 30 pp.2685-2692. 3. D Srinivasu, D Santharao, A Ramakrishna (2016) ‘CFD Analysis To Predict Heat Transfer Performance Of Louver Fin Radiator With Water/Eg & Al2O3 Nano Fluid’ International Journal of Science Engineering and Advance Technology. Vol. 4. pp. 159-164. 4. Hwa-Ming Nieh, Tun-Ping Teng, Chao-Chieh Yu (2014) ‘Enhanced heat dissipation of a radiator using oxide nano-coolant’ International Journal of Thermal Sciences. Vol. 77 pp.252-261. 5. S.M.Peyghambarzadeh, S.H.Hashemabadi, M.Seifi Jamnani, S.M.Hoseini (2011) ‘Improving the cooling performance of automobile radiator with Al2O3/water nanofluid’ Applied Thermal Engineering Vol. 31 pp.1833-1838. 6. S.M.Peyghambarzadeh, S.H.Hashemabadi, M.Seifi Jamnani, S.M.Hoseini (2011) ‘Experimental study of heat transfer enhancement using water/ethylene glycol based nanofluids as a new coolant for car radiators’ International Communications in Heat and Mass Transfer Vol. 38 pp.1283-1290. 7. Ravikanth S.Vajjha, Debendra K.Das, Praveen K.Namburu (2010) ‘Numerical study of fluid dynamic and heat transfer performance of Al2O3 and CuO nanofluids in the flat tubes of a radiator’ International Journal of Heat and Fluid Flow Vol. 31 pp.613-621. 8. Tsuyoshi Totani and Takuya (2006) ‘Numerical and experimental studies on circulation of working fluid in liquid droplet radiator’ Acta Astronautica Vol. 59 pp.192-199. 9. S.Vithayasai, T.Kiatsiriroat, A.Nuntaphan (2006) ‘Effect of electric field on heat transfer performance of automobile radiator at low frontal air velocity’ Applied Thermal Engineering Vol. 26 pp.2073-2078. Authors: Suresh.V, Senthil Kumar. R Paper Comparative Analysis of Conventional, FWZSI and ZSMLI Based UPS Systems Title: Abstract: The UPS systems always have the drawbacks such as higher switching stress, higher THD value and lower efficiency when normal inverters used. Four wire z-source inverter (FWZSI) and z-source multilevel inverter (ZSMLI) are proposed for UPS application to overcome these problems. A comparison is carried out between the proposed FWZSI and ZSMLI with the conventional power converters for UPS systems. The comparison is made based on voltage boost, dc link voltage, ripples in capacitor voltage and inductor current, voltage stress across power switches, power quality and power conversion efficiency . Also the shoot through pulse insertion in the four wire Z-source inverter and z-source multilevel inverter are compared and analyzed in detail. The performance of proposed and conventional power converters are compared for different values of input and output conditions. The results for each scheme are verified with the laboratory experimental set up [1], [2].

Keywords: FWZSI, ZSMLI, UPS, Voltage stress, THD.

References: 1. Adam,G.P., Finney, S.J., Massoud, A.M. and Williams, B.W. “Capacirtor Balance Issues of the Diode-Clamped Multilevel Inverter Operated in a Quasi Two-State Mode”, ”, IEEE Transactions on Industrial Electronics, Vol. 55, No. 8,pp. 3088-3099, 2008. 2. Min Dai, Mohammad Nanda Marwali, Jin-Woo Jung and Ali Keyhini “A three-Phase Four- Wire Inverter Control Technique for a Single distributed Generation Unit in Island Mode”, IEEE Transactions on Power Electronics, Vol.23, No.1, pp.322-331,2008. 3. Lock, A. S., Zuniga, T. N. and Martinez, R. M. “Digital control of a three phase 4 wire Inverter for UPS applications”, IEEE International Conference on Indusrtial Electronic society,pp.1260-1265, 2010. 4. EyyupDemirkutiu, SuleymanCetinkaya and AhmetHava, M. “Output Voltage Control of a Four-Leg Inverter based Three- Phase UPS by means of stationary Frame Resonant filter Banks”, IEEE Conference on IEMDC, Antalya, pp. 880-885, 2007. 5. Banaei, M. R., Dehganzadeh, A. R., Salary, E., Khounjahan, H. and Alizadeh, R. “Z-Source-based Multilevel Inverter with Reductionof Switches”, 26. IET Power electronics, Vol.5, No.3, pp.385-392, 2011. 6. Manjrekar, M. D., Sleimer, P. K. and Lipo, T. A. “Hybrid Multilevel Power Conversion System: A Competitive solution for High Power 115-120 Applications”,IEEE Transactions on Industry Application, Vol. 36, pp.834-841, 2000. 7. Meenakshi, T. and Rajambal, K. “Identification of an Effective Control Scheme for Z-Source Inverter”,Asian Power Electronics Journal, Vol. 4, No.1, pp.22-28, 2010. 8. Lohia, P., Mishra, M. K., Karthikeyen, K., Vasudevan, K. “Aminimally Switched control algorithm for three-phase four-leg VSI topology to compensate unbalanced and nonlinear load”, IEEE Transactions on Power Electronics, pp.1935-1944, 2008. 9. Omar Lohia, P., Mishra, M. K., Karthikeyen, K., Vasudevan, K. “Aminimally Switched control algorithm for three-phase four-leg VSI topology to compensate unbalanced and nonlinear load”, IEEE Transactions on Power Electronics, pp.1935-1944, 2008. 10. Aneesh Mohamed, A.S., AnishGopinath and Baiju, M.R. “A Simple Space Vector PWM Generation Scheme for Any General n-Level Inverters”, IEEE Transactions on Power Electronics, Vol.56, No.5, pp.1649-1656, 2009. AtifIqbal and ShaikhMoinuddin “Comprehensive Relationship between Carrier-Based PWM and Space Vector PWM in a Five Phase VSI”, IEEE Transactions on Power Electronics, Vol.24, No.10, pp.2379-2390, 2009. 11. Dae-Wook Kang, Yo-Han Le, Bum-SeokSuh, Chang-Ho Choi and Dong-Seok Hyun “An Improved Carrier-Based SVPWM Method Using Leg Voltage Redundancies in Generalized Cascaded Multilevel Inverter Topology”, IEEE Transactions on Power Electronics, Vol.18, No.1, pp.180-187, 2003. 12. Jang-Hwan Kim and Seung-Ki Sul “A Carrier-Based PWM Method for Three-Phase Four-Leg Voltage Source Converters”, IEEE Transactions on Power Electronics, Vol. 19, No. 1, pp.66-75,2004. 13. Lihua Li and Keyue Ma Smedley “A New Analog Controller for Three-phase Four-Leg Voltage Generation Inverters”, IEEE Transactions on Power Electronics Vol. 24,No. 7, pp.1303-1309, 2009. 14. Mohd, A.,Ortjohann, E.,Hamsic, N.,Sinsukthavorn, W.,Lingemann, M., Schmelter, A. and Morton, D. “Control Strategy and Space Vector Modulation for Three leg four-wire voltage source inverters under Unbalanced Load Conditions”, IET Power Electronics, Vol. 3, No. 3, pp.323-333, 2010. 15. Gan Dong and OlorunfemiOjo “Current Regulation in Four-Leg Voltage-Source Converters”, IEEE Transactions on Industrial Electronics, Vol. 54, No. 4, pp.2095-2105, 2007. 16. DiorgeJambra, CassianoRech and Jose RenesPinheiro “Comparision of Neutral-Point-Clamped, Symmetrical and Hybrid Asymmetrical Multilevel Inverters”, IEEE Transactions on Industrial Electronics, Vol. 57, No. 7, 2010. 17. Fanghua Zhang and Yangguang Yan “Selective Harmonic Elimination PWM ControlScheme on a Three-Phase Four-Leg Voltage Source Inverter”, IEEE Transactions on Power Electronics, Vol. 24, No. 7, pp.1682-1689, 2009. 18. Rajesh Ghosh and Narayanan G. “Control of Three-Phase, Four-Wire PWM Rectifier”, IEEE Transactions on Power Electronics, Vol.23, No.1, pp.96-106, 2008. Authors: N.Shankar, B.Indurani Paper Smart Vehicle Monitoring with Accident Detection and Prevention System Title: Abstract: Travelling an important necessity for human life has now turned to be dangerous. Road accidents are proportionally increasing with time. A survey conducted by Times Now says that about 2 lakhs death cases are reported due to road accidents. Moreover in the reported death cases, nearly two-thirds die due to intoxicated driving and late arrival of medical recovery. Our paper incorporates an alcohol and vibration sensor, along with GPS and GSM for providing accurate locations. When a vehicle meets with an accident, the detailed location of the vehicle is sent immediately to the concerned authorities. Furthermore the engine can automatically get locked when a boozed person drives the vehicle. Hence the system can use for Real time tracking, Accident detection and Accident prevention. 27. Keywords: Accidents, alcohol sensor, GPS, GSM, engine locking 121-123 References: 1. Accident Detection and Reporting System using GPS,GPRS and GSM Technology by Md. Syedul Amin, Jubayer Jalil & M. B. I. Reaz in 978-1- 4673-1154-0/12/$31.00 ©2012 IEEE ICIEV 2012. 2. Wireless Vehicular Accident Detection and Reporting System by Rajesh Kannan Megalingam, Ramesh Nammily Nair in 978-1-4244-8102- 6/10/$26.00 © 2010 IEEE, ICMET 2010 3. GPS/GSM Based Bus Tracking System (BTS) by Christeena Joseph ,A.D.Ayyappan , A.R.Aswini, B.Dhivya Bharathy in International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December-2013 176 ISSN 2229-5518. 4. Real Time Vehicle Tracking System using GSM and GPS Technology- An Anti-theft Tracking System by Kunal Maurya , Mandeep Singh , Neelu Jain in ISSN 2277-1956/V1N3-1103-1107. 5. PIC Microcontroller and embedded system by Muhammad Ali mazidi, rolinmckingly and from www.microchip.com 6. GSM system for mobile communication by Michael Mouly, Marie Bernadette Paulet. 7. Introduction to GPS by means of Ahmed El Rabbany. Authors: V.Jayanthi, B.Soundara, R.Geethamani Paper Experimental Studies on Reinforced Brick Title: Abstract: From the industrial activities, an enormous amount of solid wastes is generated, which can cause adverse effects on the environment. Among these wastes, steel scrap is one of the important solid wastes which is obtained from the lathe industries, disposed of an open ground makes an unhealthy environment and soil contamination. The past studies confirm the utilization of steel scrap wastes used in the construction industry as well as in transportation and highway industry. This project emphasis on the innovative use of steel scrap in the manufacturing of soil cement reinforced bricks. To study the properties of soil cement reinforced bricks, compressive strength test, water absorption test and weight comparison were performed on bricks with different proportions of steel scraps. From the results, it is observed that the compressive strength of brick increased and the water absorption rate is decreased upon increasing the percentage of steel scrap content.

28. Keywords: Steel scrap, compressive strength, water absorption.

References: 124-126 1. Ozkan, E, A-Herbish, M. S, (1995), An Experimental Study on the Critical properties of pressed and stabilized earth bricks, Architectural Science Review, 38, 59-73. 2. Jijo James, P. Kasinatha Pandian, K. Deepika, J. Manikanda Venkatesh, V. Manikandan, and P. Manikumaran, (2016) Cement Stabilized Soil Blocks Admixed with Sugarcane Bagasse Ash, Hindawi Publishing Corporation Journal of Engineering , Article ID 7940239, 3. Kabiraj.K, Mandal.U.K, (2012), Experimental investigation and feasibility study on stabilized compacted earth block usinglocal resources, International Journal Of Civil And Structural Engineering Volume 2, No 3. 4. Walker,P., VenkataramaReddy,B.V., Mesbah,A., and Morel,J.C.,(2000). The case for compressed earth blocks construction.Proc., 6th Int. Seminar on Structural masonary for developing countries, Bangalore, India,27-35 5. J.Poovizhi E. T. Aarthi, R.Gowthami, (2015), An experimental study of soil cement bricks and characteristics compressive strength of brick masonry wall , international journal of science and engineering research (ijser), vol 3 issue 2. 6. Abdul Rahman1 , Syed Mustafa Ali , Syed Azeemuddin (2017), Performance Analysis of Steel Scrap in Structural Concrete, IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-ISSN: 2278-1684, 42-47. 7. Pooja Shrivastavaa , Dr.Y.p. Joshi, (2014), Reuse of Lathe Waste Steel Scrap in Concrete Pavements Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 12( Part 4), 45-54. Authors: Prem P, Bharanikumar R Paper A New Multilevel Inverter Topology with Reduced Switch Count for Domestic Solar PV Units Title: Abstract: The introduction of state of the art solid state technologies has made the multilevel inverters attractive for stand alone or grid connected renewable energy resources. A multilevel inverter can provide an alternating voltage at its terminals from the available isolated dc sources is capacitors. Recent researches in multilevel inverters are focusing on 29. reduction of required components and maximizing the levels of terminal voltage. This work proposes a sub multilevel inverter topology with least number of circuit components. The simulation has been done in MATLAB/Simulink software 127-131 package and the results obtained from the proposed topology has been compared with the topologies given in recent works in the aspects like number of IGBTs, number of drivers and switching losses. The comparison shows that the proposed topology is more efficient.

Keywords: Power Electronics, Multilevel, Inveter, Converter, Renewable Energy.

References: 1. Gayathri Devi K S, Arun S, Sreeja C.: Comparative study on different five level inverter topologies. In: Journal of Electrical Power and Energy Systems, LXIII (2014), 2014. p 363-372. 2. Babaei E , Seyed Hossein H.: New cascaded multilevel inverter topology with minimum number of switche.In: Journal of Energy Conversion and Management, L(2009), 2009, p.2761-2767. 3. Rasoul S A, Daryoosh N, Seyed Hossein H, Mehran S.: Novel Topologies for symmetric, asymmetric and cascade switched –diode multilevel converter with minimum number of power electronic components. In: IEEE Transactions on Industrial Electronics, LXI (2014), No.10 , October 2014, p5300-5310. 4. Babaei E, Mohammad Farhadi K, Farshid Nazaty M.: Symmetric and asymmetric multilevel inverter topologies with reduced switching devices. In: Journal of Electric Power Systems Research, LXXXVI (2012), 2012, p122-130. 5. Babaei E, Mohammad Farhadi K, Farshid Nazaty M.: Cascaded multilevel inverter using sub-multilevel cells, In: Journal of Electric Power Systems Research, XCVI (2013), 2013, p101-110. 6. Saara L, Babaei E.: Optimum structures of proposed new cascaded multilevel invert with reduced number of components. In: IEEE Transactions on Industrial Electronics, LXII (2015), No.11, 2015, p.6887-6895. 7. Mohammad Reza J O, Masoumeh K, Sajad Najafi R, Gevork B.G.: An innovative scheme of symmetric multilevel voltage source inverter with lower number of circuit devices. In: IEEE transactions on Industrial Electronics, DOI 10.1109/TIE.2015.2438059. 8. Rasoul S A, Daryoosh N, Seyed Hossein H, Mehran S.: Reduction of power electronics elements in multilevel converters using a new cascade structure. In: IEEE transactions on industrial electronics, LXII (2015), No.1, 2015, p.256-269. 9. Mohammad Farhadi K, Babei E.: A Generalized Cascaded Multilevel inverter using series connection of submultilevel inverters. In: IEEE Transactions on industrial electronics, XXVIII (2013) No.2, 2013, p. 625-636. 10. Ebrahimi J, Babei E.: A new multilevel converter topology with reduced number of power electronic components. In: IEEE Transactions on Industrial Electronics, LIX (2012), No.2, 2012. P.655-667. 11. Gerardo C, Victor G,Carlos S, Fernando I, Julio W, Maria I.G.: A new simplified multilevel inverter topology for DC-AC conversion. In: IEEE transactions on power electronics, XXI (2006), No.5, 2006,p.1311-1319 12. Ebrahimi J, Babei E, Gover B.G.: A new topology of cascaded multilevel converters with reduced number of components for high voltage applications. In: IEEE transactions on power electronics, XXVI (2011), No.11, 2011, p.3109- 3118. 13. Krishna Kumar G, Shailendra J.: A novel multilevel inverter based on switched dc sources.In: IEEE transactions on industrial electronics, LXI (2014), No.7 July 2014, p.3269-3278. 14. Muhammad H.Rashid, Power Electronics Hand Book Devices, Circuits and applications, Elesevier Inc, Burlington, pp 45-48,2007 Authors: Gnanaprakash V, Vanathi P T, Suresh G Paper Defect Detection in Fabrics Using Back Propagation Neural Networks Title: Abstract: Defect detection in Fabrics plays an significant role in automatic defect detection system in textile industries. Identification of fabric fault mainly include three parts: The first, preprocessing with Frequency domain Butterworth Low pass Filter and Histogram Equalization. The second, texture features extraction of fabric with Gray Level Co-occurrence Matrix (GLCM).The GLCM characterizes the distribution of co-occurring pixel values in an image to be at a given offset, and then the statistical texture features are obtained from this GLCM. Third, the fault is identified using Back Propagation Neural Network with different combinations of GLCM features as an input

Keywords: Back Propagation Neural Network, Butterworth Low Pass Filter, Gray Level Co-Occurrence Matrix, Histogram Equalization.

References: 1. K.L. Mak, P. Peng, K.F.C. Yiu, “Fabric defect detection using morphological filters” Image and Vision Computing 27 (2009) 1585–1592. 2. Bassam El Said, Steven Green, Stephen R. Hallett, “Kinematic modelling of 3D woven fabric deformation for structural scale Features” Composites: Part A 57 (2014) 95–107. 3. Yu Zhang, Zhaoyang Lu , Jing Li, “Fabric defect classification using radial basis function network” Pattern Recognition Letters 31 (2010) 2033– 2042. 4. Chung-Feng Jeffrey Kuo and Ching-Jeng Lee, “A Back-Propagation Neural Network for Recognizing Fabric Defects” Textile Research Journal 2003; 73; 147, Feb 2003. 5. Lucia Bissi, Giuseppe Baruffa, PisanaPlacidi, Elisa Ricci, Andrea Scorzoni, Paolo Valigi, “Automated defect detection in uniform and structured fabrics using Gabor filters and PCA” J. Vis. Commun. Image R. 6. Amar Khoukhi, Mohamed H. Khalid,” Hybrid computing techniques for fault detection and isolation,a review” Computers and Electrical 30. Engineering. 7. Jagdish Lal Rahejaa, Sunil Kumarb, Ankit Chaudhary, “Fabric defect detection based on GLCM and Gabor filter: A comparison” Optik 124 (2013) 132-138 6469– 6474. 8. Shams Nateri, F. Ebrahimi, N. Sadeghzade, “Evaluation of yarn defects by image processing technique” Optik 125 (2014) 5998–6002. 9. Guang-Hua Hu, “Automated defect detection in textured surfaces using optimal elliptical Gabor filter, Optik 126 (2015) 1331–1340. 10. Gang Yu, Sagar V. Kamarthi, “A cluster-based wavelet feature extraction method and its application” Engineering Applications of Artificial Intelligence 23 (2010) 196–202. 11. SinemKulluk, LaleOzbakir, AdilBaykasoglu, “Training neural networks with harmony search algorithms for classification problems” Engineering Applications of Artificial Intelligence 25 (2012) 11–19. 12. Mohamed Eldessouki, Mounir Hassan, “Adaptive neuro-fuzzy system for quantitative evaluation of woven fabrics’ pilling resistance” Expert Systems with Applications 42 (2015) 2098–2113. 13. Junfeng Jing, Jing Wang, Pengfei Li ,Yang Li, “Automatic Classification of Woven Fabric Structure by Using Learning Vector Quantization” Advanced in Control Engineering and Information Science, Procedia Engineering 00 (2011) 5005–5009. 14. Junfeng Jing, Huanhuan Zhang, Pengfei Li, “Improved Gabor filters for textile defect detection” Advanced in Control Engineering and Information Science, Procedia Engineering 15 (2011) 5010 – 5014. 15. D. Weimer, H. Thamer, B. Scholz-Reiter, “Learning defect classifiers for textured surfaces using neural networks and statistical feature representations” Forty Sixth CIRP Conference on Manufacturing Systems 2013, Procedia CIRP 7 ( 2013 ) 347 – 352. 16. Jagdish Lal Raheja, Bandla Ajay, Ankit Chaudhary, “Real time fabric defect detection system on an embedded DSP platform” Optik124 (2013) 5280- 5284. 17. Henry Y.T. Ngan, Grantham K.H. Pang, Nelson H.C. Yung, “Automated fabric defect detection—A review” Image and Vision Computing 29 (2011) 442–458. 18. Henry Y.T. Ngan, Grantham K.H. Pang, Nelson H.C. Yung, “Ellipsoidal decision regions for motif-based patterned fabric defect detection” Pattern Recognition 43 (2010) 2132–2144 19. Dr.MohamedMansoorRoomi, S.Saranya, “Bayesian classification of fabrics using binary co-occurrence matrix”, International Journal of Information Sciences and Techniques (IJIST) Vol.2, No.2, March 2012. 20. Yassine Ben Salem, Salem Nasri, “Texture classification of woven fabric based on a glcm Method and using multiclass support vector machine”, 6th international multi conference on systems, signals and devices,2009. 21. Gnanaprakash V, Sathishkumar N, Finney Daniel Shadrach S, “Back Propagation Neural Network for Defect Detection of Woven Fabrics” International Journal of Computer Applications,Volume 86,No1, January 2014. 22. Gnanaprakash V, Vanathi P T, “Fabric defect identification using Back Propagation Neural Networks” Journal of VLSI design and signal Processing,Volume 3,Issue 3.Rasoul S A, Daryoosh N, Seyed Hossein H, Mehran S.: Reduction of power electronics elements in multilevel converters using a new cascade structure. In: IEEE transactions on industrial electronics, LXII (2015), No.1, 2015, p.256-269. 23. Mohammad Farhadi K, Babei E.: A Generalized Cascaded Multilevel inverter using series connection of submultilevel inverters. In: IEEE Transactions on industrial electronics, XXVIII (2013) No.2, 2013, p. 625-636. 24. Ebrahimi J, Babei E.: A new multilevel converter topology with reduced number of power electronic components. In: IEEE Transactions on Industrial Electronics, LIX (2012), No.2, 2012. P.655-667. 25. Gerardo C, Victor G,Carlos S, Fernando I, Julio W, Maria I.G.: A new simplified multilevel inverter topology for DC-AC conversion. In: IEEE transactions on power electronics, XXI (2006), No.5, 2006,p.1311-1319 26. Ebrahimi J, Babei E, Gover B.G.: A new topology of cascaded multilevel converters with reduced number of components for high voltage applications. In: IEEE transactions on power electronics, XXVI (2011), No.11, 2011, p.3109- 3118. 27. Krishna Kumar G, Shailendra J.: A novel multilevel inverter based on switched dc sources.In: IEEE transactions on industrial electronics, LXI (2014), No.7 July 2014, p.3269-3278. 28. Muhammad H.Rashid, Power Electronics Hand Book Devices, Circuits and applications, Elesevier Inc, Burlington, pp 45-48,2007 Authors: ShanmugaSundariIlangovan, Subash R, Janani N,Ishwarya P Paper Predicting ADMET Properties for Commercially Available Anticancer Drugs Title: Abstract: Drug discovery and development is a tedious process which involves high man power, costly chemicals and resources. Failure of drugs at late stage clinical trials is the common problem that occurs at current scenario. Though tremendous input has been given to discover new drugs, overcoming the drug failures and occurrence of adverse side effects need to be rectified. Predicting Absorption, Distribution, Metabolism and Excretion (ADME) properties at early stage with in silico tools would be much promising.In this paper, commercially available anticancer drugs were taken and their ADME properties were predicted with SWISS ADME. The results shows that most of the drugs possess lower solubility, low GL absorption and lower penetration to blood brain barrier. The obtained results could be a model to develop new drugs and to design anticancer drugs that eventually prevent late stage clinical trials.

Keywords: ADME, anticancer, drugs, SWISS ADME, clinical trials

References: 1. Ilangovan SS, Sen S. Simultaneous inhibition of EGFR and MET receptors with phytochemical conjugated magnetic nanocarriers: in silico and in vitro study. RSC Adv. 2016; 6; 80121–32. 2. Koushika Das, Pranit Krishna, AvipshaSarkar, ShanmugaSundariIlangovan S Sen. A review on pharmacological properties of Solanumtuberosum. Res. J. Biotechnol. 2017; 10; 1517–22. 3. ShanmugaSundariIlangovan, Pranit Krishna, Koushika Das S Sen. A REVIEW ON ANTI-MICROBIAL PROPERTIES OF MURRAYA KOENIGII. Indo Am. J. Pharm. Res. 2016; 6; 7260-72–68. 31. 4. Shanmuga SI MS and S Sen. Synthesis and Characterization of Carrageenan Coated Magnetic Nanoparticles for Drug Delivery Applications. Transl. Biomed. 2015; 6; 1–5. 5. Ilangovan SS, Sen S. Nano - bhasmas for chronic non-communicable diseases. Res. J. Pharm. Biol. Chem. Sci. 2016; 7; 925–31. 139-141 6. AlokPrakash, ShanmugaSundari I.and S Sen. Ethics and Economics of Nanonutraceuticals. In: ShampaSen YP, editor. Nanotechnol. Nutraceuticals Prod. toConsum., CRC Press; 2016 p.357–72, p. 357–72. 7. AvipshaSarkar, ShanmugaSundari I.and S Sen. Industrial Production of Nanonutraceuticals. In: ShampaSen YP, editor. Nanotechnol. Nutraceuticals Prod. toConsum., CRC Press; 2016 p.275–87, p. 275–87. 8. ShanmugaSundari I., Vithiya K.and S Sen. Developments and Applications of Silver Nanoparticles in the Nutraceuticals Industry. In: ShampaSen YP, editor. Nanotechnol. Nutraceuticals Prod. toConsum., CRC Press; 2016 p.117–33, p. 117–33. 9. Gleeson MP, Hersey A, Hannongbua S. In-Silico ADME Models: A General Assessment of their Utility in Drug Discovery Applications. Curr. Top. Med. Chem. 2011; 11; 358–81. 10. Wang Y, Xing J, Xu Y, et al. In silico ADME/T modelling for rational drug design. Q. Rev. Biophys. 2015; 48; 488–515. 11. Leeson PD. Molecular inflation, attrition and the rule of five. Adv. Drug Deliv. Rev. 2016; 101; 22–33. 12. Gleeson MP. Generation of a set of simple, interpretable ADMET rules of thumb. J. Med. Chem. 2008; 51; 817–34. 13. Zanger UM, Schwab M, Wijnen P a HM, et al. The human intestinal cytochrome P450 “pie.” Front. Pharmacol. 2015; 34; 11. 14. Butina D, Segall MD, Frankcombe K. Predicting ADME properties in silico: Methods and models. Drug Discov. Today 2002; 7. 15. Ramos-nino ME, Testa JR, Altomare DA, et al. NIH Public Access. Anticancer Drugs 2009; 98; 723–34. 16. Dander A, Mueller LAJ, Gallasch R, et al. [COMMODE] a large-scale database of molecular descriptors using compounds from PubChem. Source Code Biol. Med. 2013; 8. 17. Khandrika S, Lavinya U, Mohan R, et al. Molecular docking studies of OMP6 protein of Haemophilusinfluenzae with phytoligands. Int. J. Pharma Bio Sci. 2014; 5. 18. Shoba BM& K. Lung Cancer: A Better Rational Drug Designing, Docking and Predicting the Efficacy of Drugs. Int. J. Nov. Trends Pharm. Sci. 2012; 2; 47–64. 19. Zheng Z, Zhang X, Carbo D, et al. NIH Public Access. Water 2011; 26; 7679–81. 20. Daina A, Zoete V. A BOILED-Egg To Predict Gastrointestinal Absorption and Brain Penetration of Small Molecules. ChemMedChem 2016; 1117– 21. Authors: R. Deepa, S. Lakshmipriya Paper An Efficient Localization Scheme for Mobile WSN Title: Abstract: The security is the major inclining reasons of disillusionment of an extensive parcel of the system in our overall population. In the urban populated zone, the robbery is been extending in recent era. Accordingly, we require a theft distinguishing proof control structures. The CCTV camera is been in a general sense used as a piece of the watching and the theft disclosure of late. In this way the videos get forwarded from the CCTV camera is also been burglarized out. Thusly 32. then we require a system to manage the acknowledgment and seeing of the structure. The CCTV camera is costly and exhausts broad space and they can't sue in all conditions. The proposed robbery control structure overcomes the injuries of 142-145 the present systems like getting damaged and thrown out of control from the reliable stage. The proposed structure uses the Image dealing with a system for spilling the video bytes. We here use the raspberry pi module, camera, drove appear and the IR sensor. The USB drive is used for the video amassing. Along these lines, the video is been upheld and secured to the IoT site page. The limit is been secured and the site page gives a caution to the customer and the alert is been an indication of the system is that they can enlighten the police base camp for the protection and control of the error. The customer can unravel the video sent online through IoT using Raspberry Pi. Along these lines, it is the system is the imaginative structure in all the field of the portion of burglary recognizable proof of success. The system records a higher power of the obvious video with more conspicuous assurance amid that night time vision camera that provide a high accuracy and resolution in sense of their ability.

Keywords: IoT (Internet of Things), IR sensor, Raspberry Pi, USB, IoT Web shield.

References: 1. Safa. H, Priyanka .N, VikkashiniPriya .S, Boobalan "IOT based Theft Preemption and Security System", International Journal of Innovative Research in Science and Engineering, Vol. 5, Issue 3, March 2016 2. UmeraAnjum ,Babu B, “ IoT based Theft detection using Raspberry Pi”, International Journal of Advanced Research, Ideas and Innovations in Technology, Vol.3, Issue 6, 2017. 3. Pavithira, Deepa R, “IoT in Health Care”, International Research Journal of Engineering and Technology, Vol.4, Issue10, Oct 2017. 4. Beginning of Linux programming by Neil Matthew, Richard Stones. 5. TuhinBorgohain, Uday Kumar, SugataSanyal, “Survey of Security and Privacy Issues of Internet of Things”, International Journal of Advanced Networking and Applications, Vol.6, Issue.4, 2015. 6. O. Vermesan, P. Friess, P. Guillemin et al., “Internet of things strategic research roadmap,” in Internet of Things: Global Technological and Societal Trends, vol. 1, pp. 9–52, 2011. 7. MSD Gupta, Vamsikrishna P, Virginia Menezes, “Healthcare based on IoT using Raspberry Pi”, International Conference on Green Computing and Internet of Things, 2016. 8. PallaviSethi, Smruti R Sarangi, “Internet of Things: Architectures, Protocols and Applications”, Journal of Electrical and Computer Engineering, Vol. 2017. 9. Sushma N Nichal, J K Singh, Raspberry Pi based Smart Supervisor using Internet of Things”, International Journal of Advanced Research in Electronics and Communication Engineering, Vol.4, Issue 7, July 2015. 10. SandeshKulkarni, Minakshee B, AkankshaDukare, ArchanaGaikwad, “ Face Recognition using IoT”, International Journal of Innovations and Advancement in Computer Science, Vol.7, Issue.3, March 2018. Authors: J.Priya, A.Jeevanandham, K.Rajalashmi, R.Bharanikumar Consistency Controller for Conserving Energy by Controlling the Speed of the motor using Variable Paper Title: Frequency Drive Abstract: Most common method of speed control which is employed in paper and pulp industries is by using level controller. In this method, level is maintained constant at each stage. But this method of level control leads to power loss at each stage. Another method is speed control of medium consistency pump using consistency control. By employing consistency control and maintaining consistency at a constant value, power loss can be reduced. Initially the method of speed control that is employed in Seshasayee Paper & Boards Ltd, is by the use of level control. Power loss was more while employing level control method. It has been synchronized level control with consistency control. By this method power loss was reduced to some extent. Variable Frequency Drive (VFD)'s are used where there is fluctuation in load. Distributed Control System (DCS) is used to control the level of water in the pulp. By taking several samples and analyzing, we found that by maintaining consistency at a value of 3.5, power loss was considerably reduced. If the value consistency level increases or decreases, the power loss also increases.

Keywords: Variable Frequency Drive (VFD), Distributed Control System (DCS), Consistency Control, Level Control. Oxygen-delignification stage (ODL) 33. References: 146-151 1. “Technological effort, technological capabilities and economic performance: A case study of the paper manufacturing sector in West Java”, MartijnJonker; HennyRomijn; AdamSzirma, Technovation, Elsevier, Volume 26, Issue 1, January 2006, Pages 121-134. 2. “Successful technology upgrade reduces thermo-mechanical pulp mill energy footprint”David B. Durocher; Mark Higginson, 2017 Annual Pulp, Paper And Forest Industries Technical Conference (PPFIC) 3. “Social Movements and Ecological Modernization: The Transformation of Pulp and Paper Manufacturing”, David A. Sonnenfeld, Wiley online library, Volume33, Issue1, January 2002, Pages 1-27. 4. “Wood chip fiber flow rate control and TMP refining energy saving” Feng Ding; Claude Lejeune; Alain Poulin; Luc Laperrière 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings. 5. “Data-Based Robust Multiobjective Optimization of Interconnected Processes: Energy Efficiency Case Study in Papermaking”, Puya Afshar; Martin Brown; Jan Maciejowski; Hong Wang IEEE Transactions on Neural Networks Volume: 22, Issue: 12, Dec. 2011 6. “Particle removal inspection using the image mask for electronic paper manufacturing”, Seungtaek Kim; Hyungtae Kim; Sanghoo Lee; Jongseok Kim, 2011 11th International Conference on Control, Automation and Systems. 7. “Application for controlling a thickness regulating member used in paper manufacturing” , M. Badea; S. A. Moraru; C. M. Grigorescu 19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD 2010) 8. “Decoupling basis-weight measurements in paper manufacture” J. Balderud; D. I. Wilson; Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148) Year: 2001, Volume: 3. 9. “Improving system operations with the installation of capacitor filter banks in a paper facility with multiple generating units” S. R. Mendis; M. T. Bishop; T. M. Blooming; R. T. Moore Authors: Deepika K, Manissha S. D, Radha KV Screening of Agro residues for the Production, Purification and Characterization of Phytase Enzyme from Paper Title: Aspergillus ficuum MTCC 7591 Abstract: This work focus on the production of phytase from Aspergillus ficuum (MTCC 7591), which is one of the industrial important strain and also thermo stable in nature. Agro residues like rice bran (RB), wheat bran (WB), cotton seed oil meal (CSOM), coconut oil meal (COM), peanut oil meal (POM) and sesame oil meal (SOM) were used as a substrate 34. for production of phytase through solid state fermentation (SFF). Among which coconut oil meal (22.4 U/gds & 38.45 U/ gds) shows maximum enzyme activity followed by wheat (17.86 U/gds & 32.56 U/gds) and sesame seed (19.6 U/gds & 152-156 25.36 U/gds). Phytase yield was increased with addition of salt solution to the substrate. The mixed substrate of coconut oil cake and wheat bran shows higher activity compare to individual titer value of 43.56 U/gds. The purification was done using ammonium sulphate precipitation and dialysis. The partial purified enzyme was subjected to SDS-PAGE analysis and it was found to be approximately 65kDa.

Keywords: (WB), (MTCC 7591), (CSOM), (SOM) (SFF). (POM), PAGE

References: 1. S. Ramachandran, S. K. Singh, C. Larroche, C. R. Soccol and A. Pandey, “Oil cakes and their biotechnological applications - A review,” Bioresour. Technol., vol. 98. 2. J. Madrid, C. López and F. Hernández, “Effect of phytase on nutrient digestibility, mineral utilization and performance in growing pigs,” Livest. Sci., vol. 154, no. 1–3, pp. 144–151, 2013. 3. V. Raboy, “Seeds for a better future: ‘Low phytate’ grains help to overcome malnutrition and reduce pollution,” vol. 6, pp. 458–462, 2001. 4. A. Fugthong, K. Boonyapakron, W. Sornlek, S. Tanapongpipat, L. Eurwilaichitr and K. Pootanakit, “Biochemical characterization and in vitro digestibility assay of Eupenicillium parvum (BCC17694) phytase expressed in Pichia pastoris,” Protein Expr. Purif., vol. 70, no. 1, p. 60—67, Mar. 2010. 5. Bhavsar, Buddhiwant, Soni, Depan, Sarkar and Khire, “Phytase isozymes from Aspergillus niger NCIM 563 under solid state fermentation: Biochemical characterization and their correlation with submerged phytases,” Process Biochem., vol. 48, no. 11, pp. 1618–1625, 2013. 6. S. Shafique and R. Bajwa “Screening of Aspergillus niger and A. Flavus strains for extra cellular alpha-amylase activity,” J. Bot., 2009. 7. S. Gargova, Z. Roshkova, and G. Vancheva, “Screening of fungi for phytase production,” Biotechnol. Tech., vol. 11, no. 4, pp. 221–224, 1997. 8. Badamchi, Hamidi-Esfahani and Abbasi, “Comparison of Phytase Production by Aspergillus Ficuum under Submerged and Solid State Fermentation Conditions,” vol. 2, no. 3, pp. 129–137, 2013. 9. Jafari-Tapeh, Hamidi-Esfahani and Azizi, “Culture Condition Improvement for Phytase Production in Solid State Fermentation by Aspergillus ficuum Using Statistical Method,” ISRN Chem. Eng., vol. 2012, pp. 1–5, 2012. 10. J. C. Chen, “Novel screening method for extracellular phytase-producing microorganisms,” Biotechnol. Tech., vol. 12, no. 10, pp. 759–761, 1998. 11. S. J. Howson and R. P. Davis, “Production of phytate-hydrolysing enzyme by some fungi,” Enzyme Microb. Technol., 1983. 12. R. J. Randall and a Lewis, “The folin by oliver,” Readings, vol. 193, no. 1, pp. 265–275, 1951. 13. G. L. Miller, “Use of dinitrosalicyclic reagent for determination of reducing sugar,” Anal. Chem., 1959. 14. S. J. Yoon et al., “Isolation and identification of properties of phytase enzyme,” Enzyme, vol. 0229, no. 95, pp. 449–454, 1996. 15. Heinonen and Lahti, “A new and convenient colorimetric determination of inorganic orthophosphate and its application to the assay of inorganic pyrophosphatase,” 1981. 16. A. Viveros, C. Centeno, A. Brenes and A. Lozano, “Phytase and acid phosphatase activities in plant feedstuffs,” J. Agric. Food Chem., vol. 48, no. 9, pp. 4009–4013, 2000. 17. Berry, Shang, Waltham Sajdak and Zelazny, “Measurement of phytase activity using tethered phytic acid as an artificial substrate: Methods development,” Soil Biol. Biochem., vol. 39, no. 1, pp. 361–367, 2007. 18. L. Escobin-Mopera et al., “Purification and characterization of phytase from Klebsiella pneumoniae 9-3B,” J. Biosci. Bioeng., vol. 113, no. 5, pp. 562–567, 2012. 19. S. Gaind and S. Singh, “Production, purification and characterization of neutral phytase from thermotolerant Aspergillus flavus ITCC 6720,” Int. Biodeterior. Biodegrad., vol. 99, pp. 15–22, 2015. 20. E. Bujna, “Production and characterisation of microbial phytases,” pp. 1–35, 2014. 21. S. Suresh and K. V. Radha, “Effect of a mixed substrate on phytase production by Rhizopus oligosporus MTCC 556 using solid state fermentation and determination of dephytinization activities in food grains,” vol. 24, no. 2, pp. 551–559, 2015. 22. B. Sasirekha, “Optimization and partial purification of extracellular phytase from Pseudomonas aeruginosa p6,” Eur. J. Exp. Biol., vol. 2, no. 1, pp. 95–104, 2012. 23. B. Bogar, G. Szakacs, J. C. Linden, and R. P. Tengerdy, “Optimization of phytase production by solid substrate fermentation,” J. Ind. Microbiol. Biotechnol., 2003. 24. Benjamin and Pandey, “Coconut cake - A potent substrate for the production of lipase by Candida rugosa in solid-state fermentation,” Acta Biotechnol., 1997. 25. Benjamin and Pandey, “Mixed-solid substrate fermentation. A novel process for enhanced lipase production by Candida rugosa,” Acta Biotechnol., 1998. 26. T. Satyanarayana, “Phytase production by a thermophilic mould Sporotrichum thermophile in solid state fermentation and its potential applications,” Bioresour. Technol., vol. 99, no. 8, pp. 2824–2830, 2008. Authors: K. K. Saranya, K. Ramalakshmi, L. Jagan Mohan Rao Paper Title: Microwave Assisted Extraction of Non-Volatiles from Ginger using Ionic Liquids Abstract: Conditions were optimised for the extraction of non-volatiles from ginger using ionic liquids employing microwave energy. Maximum extraction could be achieved with the ionic liquid namely [BMIM]Cl (1-methyl -3- imidazolium chloride) at the concentration of 0.3 M with material to solvent ratio at 1:6 employing the microwave power of 600W, time (5 min.) and temperature (70°C). Microwave assisted extraction using ionic liquid was compared with that of traditional methods with respect to yield and total polyphenolic content (TPP) as well as radical scavenging activity (RSA). Increase in gingerol content (30%) was observed in microwave assisted ionic liquid based extraction than in the conventional extraction. Yield of extract increased by 3.5 fold with optimized condition than the traditional method. Optimized method for the extraction of ginger gives 38.25% increase in the RSA value and 71.93% increase in TPP content compared to the traditional method. The gingerol content released into extract increased by 4.5 folds under optimized condition than the traditional method. It is concluded that microwave assisted ionic liquid extraction can be adopted for the extraction of non-volatiles from ginger and can be extended to the industrial scale also.

Keywords: Microwave, Ionic liquid, Ginger, Non volatiles 35. 157-162 References: 1. Kubra, IR. and Rao, LJM. 2012. An impression on current developments in technology, chemistry and biological activities of ginger (Zingiber officinale Roscoe), CRC Critical Reviews in Food Science and Nutrition, 52, 651-688 2. Kubra, I.R. and Rao, LJM. 2012a. An Overview on Inventions Related to Ginger Processing and Products for food and Pharmaceutical Applications, Recent Patents on Food, Nutrition & Agriculture, 4, 31-49. 3. Kadnur, SV. and Goyal, RK. 2005. Beneficial effects of Zingiber officinale Roscoe on fructose induced hyper lipidemia and hyper insulinemia in rats, Indian Journal of Experimental Biology, (43), 1161–1164. 4. .Goyal, RK. and Kadnur, SV. 2006. Beneficial effects of Zingiber officinale on goldthioglucose induced obesity, Fitoterapia, (77), 160–163. 5. Kadnur, SV. and Goyal, RK.(2005). Beneficial effects of Zingiber officinale Roscoe on fructose induced hyper lipidemia and hyper insulinemia in rats, Indian Journal of Experimental Biology, (43), 1161–1164. 6. Yang, Z., Yang W., Quancai P., Qiansong H., Yong F., Shiqiong, L. and Zhengwen Y. 2009. Volatile phytochemical composition of rhizome of ginger after extraction by headspace solid-phase microextraction, petrol ether extraction and steam distillation extraction, Bangladesh J Pharmacol (4), 136-143. 7. El-Ghorab, AH., Nauman, M., Anjum, FM., Hussain, S. and Nadeem, M. 2010, A comparative study on chemical composition and antioxidant activity of ginger (Zingiber officinale) and cumin (Cuminum cyminum). Journal of Agricultural Food Chemistry, 58(14), 8231-7. 8. EI-Baroty, GS., Abd El-Baky HH., Farag, RS. And Saleh MA. 2010. Characterization of antioxidant and antimicrobial compounds of cinnamon and ginger essential oils., African Journal of Biochemistry Research, 4(6), 167-174. 9. Langner, E., Greifenberg, S. and Gruenwald, J. 1998. Ginger: history and use, Advances in Theraphy, (15), 25–44. 10. Wohlmuth, H., Leach, DN., Smith, MK. and Myers, SP. 2005. Gingerol content of diploid and tetraploid clones of ginger (Zingiber officinale Roscoe), Journal of Agricultural Food Chemistry., (53), 5772–5778. 11. Jolad, SD., Lantz, RC., Solyon, AM., Chen, GJ., Bates, RB., and Timmermann, B.N. 2004. Fresh organically grown ginger (Zingiber officinale): composition and effects on LPS-induced PGE2 production, Phytochemistry, (65), 1937–1954. 12. Jolad, SD., Lantz, RC., Chen, GJ., Bates, RB. and Timmermann, BN. (2005). Commercially processed dry ginger (Zingiber officinale): Composition and effects on LPS-stimulated PGE2 production, Phytochemistry, (66), 1614–1635. 13. Badreldin, HA., Gerald B., Musbah OT. And Abderrahim, N. 2008, Some phytochemical, pharmacological and toxicological properties of ginger (Zingiber officinale Roscoe): A review of recent research, Food and Chemical Toxicology, (46) 409–420. 14. Pare, JRJ., Sigouin, M., & Lapointe, J. 1991. Microwave- assisted natural products extraction, US patent 5002784. 15. Pare, JRJ.. 1994. Microwave extraction of volatile oils, US patent 5338557. 16. Pare, JRJ. 1995. Microwave assisted generation of volatiles, of supercritical fluid and apparatus therefor, US patent 5377426. 17. Pare, JRJ., & Belanger, JMR. 1997. Microwave-assisted process (MAPTM): principles and applications. In J. R. J. Pare´, &J. M. R. Be´langer (Eds.), Instrumental methods in food analysis, Elsevier Science, (18), 487 18. Pare, JRJ., Belanger, JM R., & Stafford, SS. 1994. Microwave assisted process (MAPTM): a new tool for the analytical laboratory, Trends in Analytical Chemistry, (13), 176–184. 19. Pare´, JR J., Matni, G., Be´langer, JMR., Li, K., Rule, C., Thibert,B., Yaylayan, V., Liu, Z., Mathe´, D., & Jacquault, P. 1997. Novel approaches in the use of the microwave-assisted process (MAPTM):extraction of fat from meat, dairy, and egg products under atmospheric pressure conditions, Journal of the Association of Official Analytical Chemists International, (80), 928–933. 20. Pare, JRJ., Belanger, JMR., and Punt, MM. 2000. Controlled energy density microwave processes. US patent 6061926. 21. Wang, L., and Weller, C.L. 2006. Recent advances in extraction of nutraceuticals from plants, Trends in Food Science and Technology. (17), 300– 312. 22. Swain, T., and Hillis, WE, 1959). The phenolic constituents of Prunus domestica. Journal of the Science of Food and Agriculture, 10, 63–68. 23. Blois, MS.1958. Antioxidants determination by the use of a stable free radical. Nature, 4617, 1199–1200. 24. .Jayaprakasha, GK. and Rao, LJM. 2000. Phenolic constituents from Lichen Parmotrema stuppeum (Nyl.) Hale and their antioxidant activity. Zeitschrift fur Naturforschung, Journal of Biosciences, 55C, 1018–1022. 25. Rahath Kubra, I., Ramalakshmi, K. And Jagan Mohan Rao, L.2011. Antioxidant Enriched Fractions from Zingiber officinale Roscoe, E-Journal of Chemistry, 8(2), 721-726 26. Lei, Y., Xiaowei, S., Fengjian, Y., Chunjian, Z., Lin, Z. And Yuangang, Z. 2012. Application of Ionic Liquids in the Microwave-Assisted Extraction of proanthocyanidins from Larixgmelini Bark, International of Journal of Molecular Sciences, 13(4), 5163–5178. 27. Wang, W., Zhang, L., Li, N. and Zu Yuangang. 2012. Chemical composition and in vitro antioxidant, cytotoxicity activities of Zingiber officinale Roscoe essential oil, African Journal of Biochemical Research, 6(6), 75-80. 28. .Vongsangnak, W., Gua J., Chauvatcharin, S. and Zhong, JJ. 2004. Towards efficient extraction of notoginseng saponins from cultured cells of Panaxnotoginseng, Biochemical. Engineering. Journal., (18):115–120. 29. Dong, J., Liu, Y., Liang, Z, and Wang, W. 2010, Investigation on ultrasound assisted extraction of salvianolic acid B from Salvia miltiorrhiza root. Ultrasonics Sonochemistry., (17), 61–65. 30. Kim, SJ, Murthy, HN, Hahn, EJ., Lee, HL. and Paek KY. 2007. Parameters affecting the extraction of ginsenosides from the adventitious roots of ginseng (Panax ginseng C.A. Meyer), Separation and Purification Technology., (56),401–406. Authors: S. Veerakumar Paper Title: Sampled Reference Frame Algorithm for Proposed H-Bridge Multilevel Inverter Abstract: A Direct Torque Control (DTC) scheme is proposed to provide the control of the proposed inverter. There are many techniques available for DTC scheme. In this thesis DTC scheme is achieved by implementing Space Vector Pulse Width Modulation (SVPWM) technique. A Sample Reference Frame (SRF) algorithm is used to implement SVPWM and it is compared with Sector Identification (SI) algorithm, Level Shift Multi Carrier (LSMC) algorithm and Third Harmonic Reference (THR) algorithm. The SRF algorithm is implemented in this proposed work with digital controllers and it has less memory space when compared to other algorithms.

Keywords: Multi level inverter; Frame algorithm, Torque control

References: 1. Wan Noraishah Wan Abdul Munim, Mohd Firdaus Ismail, Ahmad Farid Abidin “Switching technique comparison for multi-phase inverters”, 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO2013), Langkawi, Malaysia. 3-4 June 2013. 36. 2. P. S. N. de Silva, J. E. Fletcher, and B. W. Williams, "Development of space vector modulation strategies for five phase voltage source inverters," in Power Electronics, Machines and Drives, 2004. (PEMD 2004). Second International Conference on (Conf. Publ. No. 498), 2004, pp. 650-655 Vol.2. 163-172 3. R. Hyung-Min, K. Jang-Hwan, and S. Seung-Ki, "Analysis of multiphase space vector pulse-width modulation based on multiple d-q spaces concept," Power Electronics, IEEE Transactions on, vol. 20, pp. 1364-1371, 2005. 4. B. Wu, High Power Converters and AC Drives New Jersey: IEEE Press, 2006. 5. Jay K. Pandit, MohanV.Aware, Ronak V. Nemade, Emil Levi, “Direct Torque Control Scheme for a Six-Phase Induction Motor With Reduced Torque Ripple”, IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 32, NO. 9, SEPTEMBER 2017 6. Levi, R. Bojoi, F. Profumo, H. Toliyat, and S. Williamson, “Multiphase induction motor drives—A technology status review,” IET Elect. Power Appl., vol. 1, no. 4, pp. 489–516, Jul. 2007. 7. Gomathi C, Navya Nagath, Veerakumar S,” Sampled Reference Frame Algorithm Based on Space Vector Pulse Width Modulation for Five Level Cascaded H-Bridge Inverter” Buletin Teknik Elektro dan Informatika (Bulletin of Electrical Engineering and Informatics) Vol. 3, No. 2, June 2014, pp. 127~140 ISSN: 2089-3191 8. Pablo Lezana, José Rodriguez, and Diego A Oyaizu, “Cascaded Multilevel Inverter With Regeneration Capability and Reduced Number of Switches”. IEEE Trans. On Industrial Electronics. 2008; 55(3): 1059-1066. 9. Adam GP, O Anaya-Lara, GM Burt, D Telford, BW Williams, and JR McDonald. “Modular multilevel inverter: pulse width modulation and capacitor balancing technique”. Published in IET Power Electronics. 2010; 3(5): 702-715. 10. Mohan M Renge and Hiralal M Suryawanshi. “Three-Dimensional Space-Vector Modulation to Reduce Common-Mode Voltage for Multilevel Inverter”. IEEE Trans. On Industrial Electronics 2010; 57(7): 2324-2331. Authors: Subrata Das Paper Title: Studies on Cyclic Loading of Mulberry Silk Warp Yarns Abstract: Mulberry silk warp yarns were subjected to cyclic loading on tensile testing instrument by simulating the conditions of weaving. Minimum and maximum load for these cyclic loadings were selected based on the theoretical base 37. tension on the warp yarns and maximum tension at beat-up process. The speed of cyclic loading was adjusted to match with the speed of the conventional power loom. The stress-strain curves of the yarns were investigated and the deformation 173-176 behaviour was analysed with respect to yield point, maximum load, elongation and energy. The behaviour of silk warp yarn to fatigue developed during weaving due to its tensile deformation was studied at the fabric formation stage. All the three warp yarns showed significant deformation during weaving

Keywords: Cyclic loading, elongation, load extension curves, strain hardening, tenacity, warp tension, yield point.

References: 1. Kovacevic S, Hajdarovic K and Grancaric A M, Text Res J., 70 (7) (2000) 605. 2. Bunsell A R and Hearle J W S, J Appl. Polym. Sci., 18 (1974) 267-291. 3. Bunsell A R and Hearle J W S, J Materials Sci., 6 (1971) 1303 -1311. 4. Kaswell E R, Textiles Fibres, Yarns and Fabrics – A comparative survey of their behavious with special reference to wool, 9reinhold Publishing Corporation, New york), 1953, 32. 5. Hearle J W S and Plonsker H R, J. Appl. Polym. Sci., 10 (1966) 1949 – 1971. 6. Anandjiwala R and Goswami B C, Text Res J, 63 (7) (1993) 392. 7. Bunsel A R, Hearle J W S and Hunter R D, J. Physics. E. Sci. Instru., 4 (1971) 868. 8. Lord P R and Mohamed M H, Weaving: Conversion of yarn to fabric ( Merrow Publishing Co. Ltd., UK) 1982. 9. Zhejiang Silk Engineering Institute, China and Suzhou Silk Engineering Institute, China, Silk Weaving (Translated from Chinese) (Oxford and IBH Publishing Co. Pvt. Ltd., New Delhi) 2002. 10. Kaswell E.R, American Dyestuff Reporter, 2 (1949) 127. Authors: Balakrishnaraja R, Kavinaya K G, Monisha K Paper Title: Characterization of fruit Garbage Waste Containing Vitis Vinifera Seeds Abstract: From the Grape (Vitisvinifera)the grape seed oil is extracted. Due to the presence of more polyphenol compounds in the grape seed, it possesses antioxidant property. The polyphenol compounds are used in the inhibition of degenerative diseases, particularly heart diseases and malignant growth of cells. With an intention to serve the biopharmaceutical industry in developing chemotherapeutic agent, we explored components present in the grape seed oil. Grape seed oil was separated with the aid of pressing and by adding some solvents. GRSE was characterized using UV/VIS spectrophotometer and high performance chromatography systems.

Keywords: UV/VIS ,GRSE,(Vitisvinifera),From the Grape

References: 1. Baydar NG, Özkan G, Yasar S (2007) Evaluation of the antiradical and antioxidant potential of grape extracts. Food Control 18: 1131-1136 38. 2. Liu, Y., Yin, J.X., Zhao, M.S., Yan, K.M., Wang, H.M., Food oil, Vol. 10, 2001, p. 36 3. Molero Gomez, A., Pereyra Lopez, E., Martinez De LA Ossa, E., The Chemical Engineering Journal, Vol. 61, 1996, p. 227 177-178 4. Reich. E.; Schibli A.(2007).High performance thin-layer chromatography for the analysis of medicinal plants (Illustrated ed.). New York: Thieme.ISBN 3-13-141601-7. 5. Symmetry and Spectroscopy: An Introduction to Vibrational and Electronic Spectroscopy(Paperback) by Daniel C. Harris, Michael D.Bertolucci ISBN 978-0486-66144-5 6. Mosmann T. Rapid calorimetric assay for cellular growth and survival: application to proliferation and cytotoxicity assays. J Immunon Methods 1983;65:55-63. 7. Wenkui Li, Harry H S Fong, Keith W Singletary, John F Fitzloff, Determination of Catechins in Commercial Grape Seed Extract, Journal of liquid chromatography and related technologies, 2002, 25(3): 397-407. 8. Manasa .N,VivekMN,KambarY,KumarRKA,KekudaPTR.Mineral content, antimicrobial and radical scavenging potential of CaesalpiniamimosodesLamk (Caesalpiniaceae).World J Pharm Res. 2014; 3(4):1047-1063. 9. Shrotriya S, Deep G, Gu M, Kaur M, Jain AK, et al. (2012) Generation of reactive oxygen species by grape seed extract causes irreparable DNA damage leading to G2/M arrest and apoptosis selectively in head and neck squamous cell carcinoma cells. Carcinogenesis 33: 848-858. 10. Mittal A, Elmets CA, Katiyar SK (2003)Dietary feeding of proanthocyanidins from grape seeds prevents photocarcinogenesisin SKH-1 hairless mice: relationship to decreased fat and lipid peroxidation. Carcinogenesis 24: 1379-1388. 11. Chang J (2000)Medicinal herbs: drugs or dietary supplements? BiochemPharmacol 59: 211-219. Authors: Kaliappan S, Ramprabu J, B.Karunamoorthy, A.Ezhilarasi Paper Title: Implementation of Embedded system based Raspberry Pi for Hi-Tech Green India Abstract: Indian government has initiated smart city program all over the country. This proposed project is helpful to monitor the residential area using Surveillance camera and the streetlight, garbage, drainage system details are exhibited on the site. Consequently, the corrective actions can be brought by the government agency. This proposed method the street light can be functioned from the website and the status of ON/OFF will also be exhibited on the network page. This can be possible because only by the LDR sensors. This system also indicates the part of waste filled in the garbage bins and drainage. Therefore, measurement can be conducted without any delay by an implanted system. For garbage bins status can find out using ultrasonic sensor and float sensors is used to draw out the drainage level. The some other important method is an image processing for security in the urban center. We are working to carry out this task by using Raspberry Pi and coding is done by python language. These are drawn over the cyberspace with the help of the IOT based embedded system.

Keywords: LDR sensor, Ultrasonic sensor, the Float sensor, Raspberry Pi, Python, IOT, Surveillance camera

39. References: 179-182 1. Parkas, Prabu”IoT Based Waste Management For Smart City” International Journal of Innovative Research In Computer and Communication Engineering. Vol. 4, Issue 2, February 2016 2. Ruhin Mary Saji, Drishya Gopakumar, Harish Kumar S, K, NMohammed Sayed, Lakshmi s “A Survey on Smart Garbage Management In Cities Using IoT” International Journal of Engineering And Computer Science. Volume 5, Issue 11, Nov.2016 3. [Marriages SK, Santhosha Rao “Automated Internet of Things For Under- Ground Drainage and Manhole Monitoring System For Metropolitan Cities”International Journal of Information & Computation Technology Volume 4, Number 12 (2014) 4. Retno Tri Wahyuni, Yusmar Palapa Wijaya, Dini Nurmalasari Polytechnic Caltex Riau, Pekanbaru, “Design of Wireless Sensor Network For Drainage Monitoring System “Innovative Systems Design and Engineering Vol.5, No.5, 2014 5. Prof. R.M.Sahu, Akshay Godase, Pramod Shinde, Reshma Shinde “Garbage And Street Light Monitoring System Using Internet Of Things “International Journal Of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering Vol. 4, Issue 4, April 2016. 6. Parkash, Prabu V, Dandu Rajendra “Internet Of Things Based Intelligent Street Lighting System For Smart City” International Journal of Innovative Research in Science, Engineering and Technology Vol. 5, Issue 5, May 2016 7. Ankit Maslekar, Aparna K, Mamatha K, Shivakumara T “Smart Lighting System Using Raspberry Pi ” International Journal of Innovative Research in Science, Engineering and Technology Vol. 4, Issue 7, July 2015 8. Dr. D. V. Pushpa Latha, Dr. K. R. Sudha, Swati Devabhaktuni “PLC Based Smart Street Lighting Control ” I.J. Intelligent Systems and Applications, 2014 9. Vignesh. L, Kaliappan. S, Ramkumar. R “IoT Based Vegetable Production And Distribution Through Big Data Application”International Journal Of Science and Advance Research in Technology Vol. 3, Issue 2, February 2017. 10. Deepanshu Khandelwal, Bijo M Thomas, Krithika Mehndiratta, Nitin Kumar "Sensor-based Automatic street Lighting System" International Journal of education and science research review. Vol.2, Issue.2, April 2015. 11. Vishesh Kumar Kurre “Smart Garbage Collection Bin Overflows Indicator Using IOT” International Research Journal of Engineering and Technology, Vol. 3, Issue. 5, May 2016. 12. Monika K A, Nikitha Rao, Prapulla S B, Shobana G "Smart Dustbin-an Efficient garbage Monitoring System", Vol. 6, Issue.6, 2016. 13. S. S. Navghane, M. S. Killendar, Dr. V. M. Rohokale “IOT Based Smart Garbage and Waste collection Bin” International Journal of Advanced Research In Electronics and Communication Engineering. Vol. 5, Issue 5, May 2016. 14. Prof. K. Y. Rajput, Gargeyee khatav, Monica Pujari, Priyanka Yadav"Intelligent street Lighting System Using GSM" International Journal of Engineering Science Invention, Vol 2, Issue 3,March 2013 15. Andrea Zanella, Nicola Bui, Angelo Castellani, Lorenzo Vangelista, Michele Zorzi "Internet Of Things For Smart Cities" IEEE Internet Of Things Journal, Vol.1, February 2014. 16. Syed Ali Imran Quadri, P.Sathish, “IoT Based Home Automation and SurveillanceSystem”, International Conference on Intelligent Computing and Control Systems. ICICCS 2017. 17. YashwanthSai.M, Vijai Chandra Prasad .R, Niveditha.P.R, Sasipraba.T, Vigneshwari.S and S. Gowri, “Low cost automated Facial Recognition system”. 18. Padmashree S. Dhaka, Sumedha S Borde," Embedded Surveillance System using Ultra Low Alert Power", proceedings of IRAJ international conference, 21 July 2013, Pune, India. Authors: Rajesh Ramachandran, Suryaprakash Shanmugasundaram, BalaKumar.A.P Paper Title: Smart Socket for Eliminating Phantom Power Abstract: In our modern age, many people have multiple devices such as laptops, tablets, and smartphones, all of which needs to be frequently charged to keep us connected. This has led to multiple chargers being left at home and at the office, often plugged into the wall with the cord conveniently waiting to charge your phone for next time. Chargers continually draw power from a wall socket, even when your device is not attached, and while this amount could be as little say 0.25 Watts of energy, imagine that compounded over 4-5 devices for a year will lead to 2190 Wh per year for a single user. According to Telecom authority of India, Tamil Nadu has 71.81 million smartphone subscribers [1] so this phantom power consumption must be accountable. Additionally standby loads are found to be next phantom power consumers which consumes power when appliance switched off or not performing its primary functions. This proposed work will eliminate wastage of power at standby and prevent overcharging of mobile phones furthermore turn off scheduler is incorporated for planned operated loads.

Keywords: Standby loads, Smart socket, Over charging, Demand, Energy saving 40. References: 183-186 1. W. K. Park C. S. Choi I. W. Lee J. Jang "Energy efficient multi-function home gateway in always-on home environment" IEEE Trans. Consum. Electron. vol. 56 no. 1 pp. 106-111 Mar. 2010. 2. R. W. Beattie, G. Forshaw and E. N. Leney, "Design, material and performance of plugs and sockets for electronic switching applications," in Proceedings of the IEE - Part B: Electronic and Communication Engineering, vol. 109, no. 21, pp. 102-110, 1962.doi: 10.1049/pi-b-2.1962.0020 3. ManikandaPrasath K., Balaji M,” A Green Supply Chain Agility Index For E- Commerce Business: An Indian Perspective Using Interpretive structural Modeling” Journal Of Advanced Research In Dynamical And Control Systems, Vol9no6, 2017, pp1913-1925. 4. K. L. Tsai, F. Y. Leu and I. You, "Residence Energy Control System Based on Wireless Smart Socket and IoT," in IEEE Access, vol. 4, pp. 2885- 2894, 2016. doi: 10.1109/ACCESS.2016.2574199 5. Suh Y. B. Ko "Design and implementation of intelligent home control systems based on active sensor networks" IEEE Trans. Consum. Electron. vol. 54 no. 3 pp. 1177-1184 Aug. 2008. 6. M. Collotta and G. Pau, "A Novel Energy Management Approach for Smart Homes Using Bluetooth Low Energy," in IEEE Journal on Selected Areas in Communications, vol. 33, no. 12, pp. 2988-2996, Dec. 2015. doi: 10.1109/JSAC.2015.2481203 7. T. D. Raheni and P. Thirumoorthi, "Intelligent control of shunt active power filter for minimization of current harmonics," TENCON 2017 - 2017 IEEE Region 10 Conference, Penang, 2017, pp. 2846-2851. doi: 10.1109/TENCON.2017.8228346 8. Mathankumar M, Viswanathan T, Dineshkumar T, Implementation of Data Gathering system using mobile relay node in Wireless Sensor Network, International Journal of Pure and Applied Mathematics (IJPAM), vol116no11,, 2017, pp. 111-119. Authors: R. Darwin, S. Swaati, G. Swathi, R. Vishnu Priya Paper Title: Suppression of Mutual Coupling between Dual Element MIMOAntenna for 5G Abstract: 5G is the proposed next telecommunication standard beyond the current 4G/IMT-Advance standards,operating from 2GHz-8GHz.Antenna fabrication with reduced mutual coupling is the major challenges.Rectangular Fractal slots are used to enhance bandwidth without any matching element and for goodradiation pattern. In this paper we have designed dual element Multiband MIMO antenna for 5G application which operates in 3.1GHz,3.6GHZ and 3.9GHz with reduced mutual coupling. To analyze mutual coupling, two antennas are placed at a distance of 0.125λ.Various techniques to reduce mutual coupling like Electromagnetic Band Gap(EBG),Meander line,Defective Ground Structure(DGS)are implemented and out of which DGS has better isolation. An isolation of -59dB has been achieved with the DGS structure relative to - 29dB without the DGS.

Keywords: MIMOAntenna,Mutualcoupling,ElectromagneticBandGap(EBG),Meanderline,DefectiveGroundStructure(DGS),High 41. Frequency StructureSimulator(HFSS). 187-191

References: 1. P. S. R. Chowdary, A. M. Prasad, and P. M. Rao, “Design of modified Sierpinski antenna for WLAN applications,” in 2014 International Conference on Electronics and Communication Systems, ICECS 2014, 2014. 2. R. Choudhary, S. Yadav, P. Jain, and M. M. Sharma, “Full composite fractal antenna with dual band used for wireless applications,” in Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014, 2014, pp. 2517–2520. 3. G. J. Foschini and M. J. Gans, “On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas,” Wirel. Pers. Commun., vol. 6, no. 3, pp. 311–335, 1998. 4. D. Sievenpiper, L. Zhang, R. F. Jimenez Broas, N. G. Alexöpolous, and E. Yablonovitch, “High-impedance electromagnetic surfaces with a forbidden frequency band,” IEEE Trans. Microw. Theory Tech., vol. 47, no. 11, pp. 2059–2074, 1999. 5. .R Best and J.D Marrow, “Limitations of Inductive Circuit Model Representations of meander lineantennas”, vol. 1, pp 852-855, IEEE Trans. Antenna and Propagation Society International Symposium,June 2003 6. M. S. Sharawi, “Printed multi-band MIMO antenna systems and their performance metrics [wireless corner],” IEEE Antennas Propag. Mag., vol. 55, no. 5, pp. 218–232, 2013. 7. M. T. Islam and M. S. Alam, “Compact EBG structure for alleviating mutual coupling between patch antenna array elements,” Prog. Electromagn. Res., vol. 137, pp. 425–438, 2013. 8. C. Y. Chiu, C. H. Cheng, R. D. Murch, and C. R. Rowell, “Reduction of mutual coupling between closely-packed antenna elements,” IEEE Trans. Antennas Propag., vol. 55, no. 6 II, pp. 1732–1738, 2007. 9. X. Zhou, X. Quan, and R. Li, “A dual-broadband MIMO antenna system for GSM/UMTS/LTE and WLAN handsets,” IEEE Antennas Wirel. Propag. Lett., vol. 11, pp. 551–554, 2012. 10. D. Guha, S. Biswas, and C. Kumar, “Annular ring shaped DGS to reduce mutual coupling between two microstrip patches,” in Applied Electromagnetics Conference, AEMC 2009 and URSI Commission B Meeting, 2009. 11. A.P. Aparna, A. Chandramouli, Divya Raju, R. Darwin, “Massive MIMO: Implementation and its Challenges”, International Journal of Pure and Applied Mathematics, Volume 117 No. 22 2017, 101-106. 12. R.Elakkiya, N.M.Harshini,G.Karthikeyan, R.Darwin,“GreenRadioCommunicationsNetworks-Implementationand its Challenges”, International Journal of Pure and Applied Mathematics, Volume 118 No.182018,3567-3579. 13. V.Sumitha,A.Sangeetha,P.Priya,N.Porchelvi,“Circular Antenna For Wireless Communication”, International Journal of Innovations in Scientific and Engineering Research (IJISER), Vol 4 Issue 3 MAR 2017/102,pp83-86. 14. R. Darwin, G. Ishwarya, “ Dual Band MIMO antenna using decoupling slots for WLAN applications”, Journal of Advanced Research in Dynamical and Control Systems, pp. 1138-1147, 2017. Authors: Shiji Shajahan, A. Vasuki.A Paper Title: Inductorless Realization of Chua’s Circuit Abstract: Nonlinear systems may produce many types of complex behaviour such as chaos. Simple electronic circuits may exhibit chaotic behavior. Among such electronic circuits, the Chua’s circuit is mostly used since it is quite simple and can easily be realized in the laboratory using standard electronic components. Experimentally Chaos can be observed using a simple circuit named Chua’s circuit and it is the first physical implemented system. Several alternative realizations are possible for Chua’s circuit. Inductors are used in most of the chaotic signal generators, which is inconvenient for various reasons. An Inductorlessrealisation of Chua’s circuit, which exhibits chaotic behaviour is presented in various circuits. This new realization consists of the Wien bridge circuit or op amp based circuit, which is in parallel with the nonlinear resistor. In this paper an Inductorless realization of Chua’s Circuit is presented using op- amps. Simulated results for two synthetic values of inductance L=18mH and L= 8.2mH is presented.

Keywords: Chua’s Circuit, Inductorless, Chaos

References: 1. Gaurav Gandhi,”Electronic Realizations of Chaotic Circuits: from Breadboard to Nanotechnology”, dissertation nsubmitted for the degree of Doctor 42. of Philosophy, 2008. 2. L. O. Chua, “The genesis of chua’s circuit,” Archiv for Elektronik and Uebertragungstechniko, vol. 46, no. 4, pp. 250–257, 1992. 193-196 3. KENNEDY, M.P.: ‘Three steps to chaos - part 2 A Chua’s circuit primer’, IEEETrans., 1993, C A W, (IO),pp. 657-675 4. MATSUMOTO, T.: 'Chaos in electronic circuits', Proc. IEEE, 1987, 75, (8). pp. 1033-1057 5. MATSUMOTO, T.: 'A chaotic attractor from Chua's circuit', IEEE Trans., 1984, CAS-31, (12), pp. 1055-1058 6. NEWCOMB, R.w., and SATHYAN, s.: 'An RC op amp chaos generator',IEEE Trans., 1983, CAS-30, (l), pp. 54-56 7. Elwakil A.S., Kennedy M.P, “Generic RC realizations of Chua’s circuit”, Int. J. Bifurcation and Chaos, vol. 10, No. 8 (2000), pp.. 1981–1985. 8. Tuyen Tran Xuan, Nguyen Tien Dzung and Thang Manh Hoang,” Chaos in Chua’s Oscillator with Chua’s Diode and Memristor”, International Symposium on Nonlinear Theory and its Applications NOLTA2010, Krakow, Poland, September 5-8, 2010. 9. A.S. Elwakil, M.P. Kennedy.”Chua's circuit decomposition: a systematic design approach for chaotic oscillators” Journal of the Franklin Institute 337 (2000) 251}265, 2000. 10. Torres, L. A. B. & Aguirre, L. A. [2000] “Inductorless Chua's circuit," Electron. Lett.36(23),pp.1915-1916 11. MORGUL, 0.: ‘Inductorless realisation of Chua oscillator’, Electron. Letter., 1995, 31, (17), pp. 1403-1404 12. MORGUL, 0.: ‘Wien bridge based RC chaos generator’, Electron Letter., 1995, 31. (24), pp. 2058-2059 13. Namajunas and A. Tamasevicius, “Modified Wien-bridge oscillator for chaos,” Electron. Lett., vol. 31, pp. 335–336, 1995. 14. Bharathwaj Muthuswamy Tamara Blain Kyle Sundqvist,” A Synthetic Inductor Implementation of Chua's Circuit”, Technical Report No. UCB/EECS2009,http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-20.html January 30, 2009 15. Watcharin Jantanate, Peter A. Chaiyasena, Sarawut Sujitjorn,” Odd/Even Scroll Generation with Inductorless Chua’s and Wien Bridge Oscillator Circuits”, WSEAS Transactions on Circuits and Systems,ISSN:1109-2734, Issue 7, Vol 9, July 2010 16. Recai Kilic,” A Comparative study on Realization of Chua’s Circuit: Hybrid realizations of Chua’s Circuit combaining the circuit topologies proposed for chua’s diode and Inductor.”, International Journal of Bifurcation and Chaos, Vol. 13, No. 6 (2003) Authors: R.Hemalatha, G.Karthikeyan, R.Mahalakshmi Paper Title: Implementation of Aco Algorithm in Rwa Abstract: The major problem in the optical mesh network is routing and wavelength assignment (RWA) and this trouble arises due to more number of tracks present in the network. When huge networks are used for transmission of information from source to destination, there will be a need for wavelength assignment to the track in that network. Solution for Routing and wavelength assignment problem has been done using various optimization algorithms such as Genetic Algorithm, Simulated Annealing, Particle Swarming Optimization, Memetic Algorithms, etc. It is found that the mean execution time and mean blocking probability are more while using these algorithms in the optical mesh networks. Here the RWA problem is solved using Ant Colony Optimization Algorithm and it noticed that it is better than the other optimization algorithms. The standard mesh network NSFNET network (14node) is considered for the simulation. The performance 43. metrics such as mean execution time and mean blocking probability using first-fit & random wavelength assignment techniques are considered. The results obtained for mean execution time is lesser compared to the other optimization 197-200 algorithms and mean blocking probability using first-fit, random, wavelength ordering and round robin wavelength assignment techniques are compared to each other.

Keywords: Ant Colony Optimization (ACO), Routing and Wavelength assignment (RWA), Wavelength Division Multiplexing (WDM), Time Division Multiplexing (TDM)

References: 1. U. Bhanja and S. Mahapatra, “A metaheuristic approach for optical network optimization problems,” Appl. Soft Comput., vol. 13, no. 2, pp. 981– 997, 2013. 2. T. K. Ramesh, S. K. Konda, and P. R. Vaya, “Survivable traffic grooming RWA protocol for WDM networks,” Procedia Eng., vol. 30, no. 2011, pp. 334–340, 2012. 3. G.Karthikeyan and R.Hemalatha, “ALGORITHMS TO SOLVE RWA : A REVIEW,” IJPAM, vol. 118, no. 18, pp. 3715– 3719, 2018. 4. C. Engineering, “QUALITY OF SERVICE OF WIRELESS OPTICAL NETWORKS National Institute of Technology Rourkela,” 2014. 5. Z. Cao, P. Claisse, R. J. Essiambre, M. Kodialam, and T. V. Lakshman, “Optimizing Throughput in Optical Networks: The Joint Routing and Power Control Problem,” IEEE/ACM Trans. Netw., vol. 25, no. 1, pp. 199–209, 2017. 6. Sartzetakis, K. Christodoulopoulos, C. P. Tsekrekos, D. Syvridis, and E. Varvarigos, “Quality of Transmission Estimation in WDM and Elastic Optical Networks Accounting for Space – Spectrum Dependencies,” vol. 8, no. 9, pp. 676–688, 2016. 7. U. Bhanja, S. Mahapatra, and R. Roy, “A Novel Solution to the Dynamic Routing and Wavelength Assignment Problem in Transparent Optical Networks,” p. 12, 2010. 8. X. Wang, M. Brandt-Pearce, and S. Subramaniam, “Distributed Grooming, Routing, and Wavelength Assignment for Dynamic Optical Networks Using Ant Colony Optimization,” J. Opt. Commun. Netw., vol. 6, no. 6, p. 578, 2014. 9. E. Ozdaglar and D. P. Bertsekas, “Routing and wavelength assignment in optical networks,” IEEE/ACM Trans. Netw., vol. 11, no. 2, pp. 259–272, 2003. 10. K. Lee, K. C. Kang, T. Lee, and S. Park, “An optimization approach to routing and wavelength assignment in WDM all-optical mesh networks without wavelength conversion,” ETRI J., vol. 24, no. 2, pp. 131–141, 2002. 11. B. Jaumard and M. Daryalal, “Efficient Spectrum Utilization in Large Scale RWA Problems,” IEEE/ACM Trans. Netw., vol. 25, no. 2, pp. 1263– 1278, 2017. 12. M. Dorigo, M. Birattari, and T. Stutzle, “Ant colony optimization,” IEEE Comput. Intell. Mag., vol. 1, no. 4, pp. 28–39, 2006. 13. R. Hemalatha and R. Mahalakshmi, “Assignment in Long-Haul Optical System optičnega sistema Long-Haul,” vol. 47, no. 4, pp. 233–240, 2017. 14. M. Dorigo, L. M. Gambardella, M. Middendorf, and T. Stutzle, “Guest editorial: special section on ant colony optimization,” IEEE Trans. Evol. Comput., vol. 6, no. 4, pp. 317–319, 2002. 15. M. Pedemonte, S. Nesmachnow, and H. Cancela, “A survey on parallel ant colony optimization,” Appl. Soft Comput. J., vol. 11, no. 8, pp. 5181– 5197, 2011. 16. G. Karthikeyan and R. Hemalatha, “ENHANCED DATA TRANSMISSION THROUGH OPTIMIZED PATH IN RWA BY USING ACO ALGORITHM,” vol. 118, no. 20, pp. 3777–3782, 2018. 17. Roshni. V. V, R. Hemalatha and R. Mahalakshmi, 2016. Optimization of Routing and Wavelength assignment in passive optical networks. Pak. J. of Biotechnology, Special issue on innovations in information embedded and communication systems, Vol. 13: 247-251. 18. A.Kavitha, Anusiya saral and P.Senthil,” Design Model of Retiming Multiplier For FIR Filter & its Verification”, International Journal of Pure and Applied Mathematics, Volume .116, No. 12, 2017, pp. 239-247. 19. Kumeresan A.Ram prakash,pavithra P, ”Design simulation and fabrication Of modified sierpenski Gasket Fractal antenna for wide band Application”, journal of advanced research in dynamical and Control systems,vol.9, Sp-16, 2017,pp.1116-1125. Authors: K. Paramasivam , R. Sathiya Priya, V. Saminathan Paper Title: Design and Analysis of Memristor Memory Cell Using Different Windowing Functions Abstract: In recent years, rapid growth of battery operated devices has made the low power memory design a desire in the industry. As the number of transistor increases, the leakage current has made the SRAM unit a power hungry block from both the static and dynamic perspectives. Nowadays, the SRAM block is an important part in SOC design. For memory design, the power dissipation and area are the main factors. Alternative technologies are needed to meet recent challenges in memory design. Memory cell can be designed by using memristor whose memristance M is function of charge q in it. Memristor is passive non-linear device that controls the current and able to retain the charge in it. Hence, memristor is considered as resistor with non-linear characteristics and memorizing feature. In this project Memristor and its performance is analysed by using two different window functions in MATLAB. Hysteresis curve is obtained for analysis. Memristor based memory cell is designed using memristor with proposed window function to analyse the performance using LT in 180nm technology. Peak and average power results are compared. It shows that 94% of power is reduced in the proposed memory cell.

Keywords: SRAM, Memristor, Hysteresis, window function, non volatile memory.

References: 1. Ajay Kumar Dadona, Arjun Singh Yadav, C.M.Roy, “Comparative Analysis of variable N-T SRAM Cells”, International Journal of Adv Research in computer Science and Software Engg, Vol 3, Issue 4, April 2013. 2. Vikas Singariya, D. K. Mishra, “Comparison of Various n-T SRAM Cell for mprovement of Power, Speed and SNM”, Int Journal of Digital 44. Application & Contemporary research, Vol. 2, Issue 12, 2014. 3. D. R. Yadav, “Estimation of High Performance memristor based 6T SRAM Cell” vol. 5, No. 2, 2017. 201-205 4. L. O. Chua, “Memristor - The missing circuit element”, IEEE Transaction on Circuit Theory, volume CT-18, No. 5, September 1971 pp.507–519, 5. D. B. Strukov, G. S. Snider, D. R. Stewart, and R. S. Williams, “The missing memristor found”, Nature, volume 453, May 2008, pp. 80–83, 6. Saminathan, Dr. K. Paramasivam, “A New Forth Element Memristor Model with new windowing functions using LT spice Programs”, vol.10, no.38, 2015. 7. Joglekar. Y. N and Wolf. S. J, “The Elusive Memristor: Properties of BasicElectrical Circuits”, European Journal of Physics, vol. 30, pp. 661-675, 2009. 8. Biolek. D, Biolek. Z, and Biolkov. V, “A SPICE model of memristor with nonlinear dopant drift”, Radio Engineering Journal., vol. 18, no. 2, p. 211, 2009. 9. Benderli. S, Wey T. A, “On SPICE macromodelling of TiO2 memristors”, Electrons Letters, 45(7):377-379,2009. 10. [10] Themis Prodromakis, Boon Pin Peh, Christos Papavassiliou and ChrisToumazou, “A versatile memristor model with nonlinear dopant kinetics” IEEE Transactions on Electron Devices, 58(9):3099-3105, sep2011. 11. Sangho Shin, Kyungmin Kim and Sung-Mo Kang, “Compact models for memristor based on charge-flux constitutive relationships”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and systems, 29(4), pp 590-598, 2010. 12. Saminathan.V, Paramasivam.K, “A New Forth Element Memristor Model with new windowing functions using LTspice Programs”, International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.38 (2015) pp: 29026- 29031. 13. Saminathan.V, K.Paramasivam, “Missing Fourth Element Memristor Modeling with New Window Function Derived from Sigmoid Logistic Equation” International Journal of Advanced Engineering Technology E-ISSN 0976-3945 Vol. VII, Issue I, Jan.-March.,2016, pp.384-386. 14. Veerappan Saminathan, Kuppusamy Paramasivam, “Design and Analysis of Low Power Hybrid Memristor-CMOS Based Distinct Binary Logic Nonvolatile SRAM Cell”, Circuits and Systems (CS) Vol.7 No.3 2016, pp.119-127. 15. Saminathan, Dr. K. Paramasivam, “A Novel Flexible Window Function for Modelling Nonlinearity of a Titanium Oxide Memristor for Next Generation Emerging Nonvolatile Memory Applications”, Asian Journal of Research in Social Sciences and Humanities Volume 6, No. 8, August 2016, pp. 338-349. Authors: Karthikeyan.R, Chandramouli A Paper Title: A Compact Planar Monopole Wideband Antenna for ISM & WIMAX Applications with Rhombus Radiator 45. Abstract: This paper presents a compact planar monopole wideband antenna (40×50×1.6 mm3) with rhombus shaped 206-208 radiator and partial ground plane. High Frequency Structure Simulator (HFSS) tool is used to design and simulate the proposed antenna. The antenna resonates from 2.21GHz to 4.12GHz with (<-10dB), useful for the wireless communication systems operating in ISM and WiMAX bands. It suits for 2.45 GHz WLAN bands, 2.5GHz/3.5GHz WiMAX bands and other IEEE 802.11(b/g/n/ax) wireless communication services. The proposed antenna provides a bandwidth of 1.91 GHz and profile with half ground plane and Section III discusses a results of simulated and tested antenna.

Keywords: Planar monopole wideband antenna, ISM, WIMAX, HFSS

References: 1. “A Novel Wideband Antenna for UMTS and WLAN Bands: Employing a Z- shaped Slot and a Folded T-shaped Ground Branch to Widen Bandwidth,” Antennas Propag. Soc. Int. Symp., vol. 1, pp. 2–5, 2008. 2. H. W. Liu, C. H. Ku, and C. F. Yang, “Novel CPW-fed planar monopole antenna for WiMAX/WLAN applications,” IEEE Antennas Wirel. Propag. Lett., vol. 9, pp. 240–243, 2010. 3. Ashokan, R.Karthikeyan, Vinothkumar,"Design and analysis of a circular etched fractal antenna for LTE,WiMax and UWB Applications", International conference on telecommunication technology and management(ICTTM-2015) 4. C. A. Balanis, “Antenna theory: a review,” Proc. IEEE, vol. 80, no. 1, pp. 7–23, 1992. 5. R. B. Waterhouse et al., “Control Of The Impedance Bandwidth Of Wideband Planar Monopole Antennas Using A Beveling Technique,” vol. 30, no. 4, pp. 229–232, 2001. 6. M. Ammann and Z. N. Chen, “A Wide- band Shorted Planar Monopole with Bevel,” IEEE Trans. Antennas Propag., vol. 51, no. 4, pp. 901–903, 2003. 7. Z. N. C. M.J.Ammann, “Wideband Monopole antennas for Multi-Band systems,” IEEE Antennas Propag. Mag., vol. 45, no. No.2, pp. 146–150, 2003. 8. J. P. Gianviffwb and Y. Rahmat-samii, “A Novel Antenna Miniaturization Technique , d Applications,” vol. 44, no. 1, 2002. 9. E. Lee, P. S. Hall, and P. Gardner, “Compact wideband planar monopole antenna,” Electron. Lett., vol. 35, no. 25, 1999. 10. A.M. Abbosh, “Gain and Bandwidth Optimization of Compact UWB Tapered Slot Antennas,” vol. 2, no. 3, pp. 222–225, 2007. 11. Y. F. Liu, K. L. Lau, Q. Xue, and C. H. Chan, “Experimental studies of printed wide-slot antenna for wide-band applications,” IEEE Antennas Wirel. Propag. Lett., vol. 3, no. 1, pp. 273–275, 2004. 12. Nikitha Prem EK, R Karthikeyan, “Tripple Band Notched UWB Antenna Array,” International Conference on GreenEngineering and TechnologiesIC-GET, 2016. 13. Nikitha Prem EK, R Karthikeyan, “Tripple Band Notch UWB antenna array with EBG structure”, Interantional conference on wireless communications, Signal Processing and Networking(WiSPNET- 2016), IEEE-Xplore Digital Library. 14. Uma Maheswari. S1, Vasanthanayaki.C2,” Secure And Enhanced Information Encoding In Matrix Barcode”, Journal Of Advanced Research In Dynamical And Control Systems, Vol. 9, No 6 , pp. 1926-1936, 2017. 15. S.Aruna devi ,Vijeta Iyer, “A Study on M/M/C Queue Model under Monte Carlo simulation in Traffic Model”, International Journal of Pure and Applied Mathematics, Volume 116, No. 12 , 2017, pp. 199-207. UWB Antenna Using Compact Multilayer FSS,” pp. 100–103, 2014. 16. N. Kushwaha et al., “Design Of A High-Gain Ultra-Wideband Slot Antenna Using Frequency Selective,” vol. 56, no. 6, pp. 14 Authors: K. Karthika, C. Kavitha, K. Kavitha, T. Jaspar Vinitha Sundari Paper Title: Triple Band Rectifier Design for RF Energy Harvesting in Wireless Sensor Networks Abstract: The atmospheric energy harvesting is a vital innovation to the achievement of wireless sensor systems. In day to day life, different form of energy resources is present better communication. Among those energy sources, Radio Frequency (RF) energy is one of the best sources with broad coverage of signals from various wireless communication systems. Collecting a wide recurrence band RF signals are valuable to support the aggregate level of energy. In this paper, the design of triple bands rectifier to rectify the harvested RF energy from cellular system frequency bands and Wi-Fi sources available in atmospheric environment is presented. Advanced Design System (ADS) simulator was utilized to design a 4- stage voltage multiplier RF energy harvesting circuit. This voltage multiplier makes use of Agilent diode HSMS-2850 for rectification purpose. The exploratory outcome demonstrates that the proposed design can gather more power than the power obtained from a single band.

Keywords: Ambient energy, sensor networks, voltage multiplier, rectifier, radio frequency

References: 46. 1. Hu-Cheng Sun, Yong-Xin Guo, Zheng Zhong, “A high-sentivity 2.45 GHz rectenna for low input power energy harvesting,” in Antennas and Propagation Society International Symposium (APSURSI),pp.1-2,2012 IEEE. 209-212 2. Hongxian Zhang; Xinen Zhu,“A broadband high efficiency rectifier for ambient RF energy harvesting,” in Microwave symposium (IMS),IEEE MTT-S International, pp.1-3,2014. 3. Sadd-Bin-Alam,M; Mourv,S,“Multiple-band antenna coupled rectifier circuit for ambient RF energy harvesting for WSN,” 3rd International conference on Informatics, Electronics and Vision, pp.1-4,2014. 4. S. Bin Alam, M. S. Ullah and S. Moury, “Design of A Low Power 2.45 GHz RF Energy Harvesting Circuit for Rectenna,” in IEEE proc. at International conference on Informatics, Electronics and Vision, pp. 1-4,May 2013 5. H. Jabbar, Y. S. Song and T. T. Jeong, “RF energy harvesting system and circuits for charging of mobile devices,” IEEE Transactions on Consumer Electronics, vol. 56, no. 1, pp. 247-253, Feb. 2010. 6. Seybold, John S. Introduction to RF propagation. John Wiley & Sons, 2005. 7. Epp, Larry W., Abdur R. Khan, Hugh K. Smith, and R. Peter Smith. "A compact dual-polarized 8.51-GHz rectenna for high-voltage (50 V) actuator applications." IEEE Transactions on Microwave Theory and Techniques 48, no. 1 (2000): 111-120. 8. Collado, Ana, Spyridon-Nektarios Daskalakis, Kyriaki Niotaki, Ricard Martinez, Ferran Bolos, and Apostolos Georgiadis. "Rectifier Design Challenges for RF Wireless Power Transfer and Energy Harvesting Systems." Radioengineering 26, no. 2 (2017): 411. 9. A.Amsaveni and K.Anusha,"A circularly polarized triangular slot reconfigurable antenna for wireless applications ", International Journal of Pure and Applied Mathematics(IJPAM),Volume 116, No. 11, 2017, 81-89 10. Amsaveni, “Antennas and Wave Propagation”. Anuradha Publications, Chennai, 2015. 11. Regi Saral, V. Lavanya, A. Amsaveni, “A Triangular Patch Antenna for Wireless Applications”, International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE), Volume 7, Issue 3, ISSN: 2278 – 909X, 2018. Authors: K. Paramasivam, R. Sathiya Priya, V. Saminathan Paper Title: Design and Analysis of Memristor Based Memory Cell Abstract: In recent years, the progression of battery functioned devices has made the low power memory design an urge in 47. the industry. As transistor count increases, the leakage current has made the SRAM unit a power hungry block from both the static and dynamic perspectives. Also the SRAM block is an important part in SOC design nowadays. Here the power 213-215 dissipation and area are the main factors in designing the memory. SRAM’s are also volatile in nature; they lose what was stored in them if the power is turned off. Memristor is a new circuit device and it can be used forconstructing memory cell. It can be seen that memristance M depends on charge q, which is defined as the time integral of the memristor current. This paper is based on memory cell using memristor. It has the property of non volatileness. It raises the packing density and minmize the power in system on chip (SOC). This concept can help to reducing the leakage power in the memoery element without loss of stored data. SRAM takes large part of power & area, therefore memristor based SRAM is designed to improve power & speed of memory cell. The memristor based memory cell is designed using LT spice EDA tool in 180nm technology. Conventional 6T SRAM cell is modified with memristor and CMOS - Memristor based memory cell is designed and simulated in LT spice for its performance in 180nm technology. Peak and average power are obtained for conventional 6T SRAM cell and proposed memristor memory cell. Power results are compared and shows that power reduction is achieved in memristor based memory cell when compared with conventional 6T SRAM cell. Read and write operation is simulated to evaluate the read time and write time of proposed memory cell.

Keywords: Memristor, Hysteresis, Non – volatile.

References: 1. Nirali K. Khokhara and Bharat H. Nagpapa, ‘Comparative Analysis of one bit SRAM using different SRAM cells in 45nm CMOS Technology’, Int.J.of Innovative Research in Computer and Communication Engineering, Vol. 5, Issue 1, January 2017. 2. K,Navdeep, K,Loveleen,k,Gurpreet, ‘Comparative Study Of 64 Bit SRAM Memory Using 6T and 7T SRAM Cells’, ISSN: 2394-0697, Volume.2, 2015. 3. Chua L.O, “Memristor – the missing circuit element’, IEEE Transaction on Circuit Theory, volume.18, no. 5, pp.507-519, Sep. 1971. 4. M,N,Sakib, RHS,Biswas, ‘Performance Analysis of a Memristor-based Hybrid Memory Cell with Rapid Bidirectional Storage Capability’,International Conference on Electrical Engineering and Information Communication Technology 2016. 5. Strukov,D.B, Snider G,S, D. Stewart, D,R, and Williams,R,S, 2008, “The missing memristor found”, Nature, volume. 453, pp. 80–83. 6. Saminathan,V,Paramasivam,K,‘Analysis of the Effect of Temperature and Power Dissipation Variations in SRAM Cells, Int. J. of Sci. Research, Vol.2, pp: 164-166, Dec2013. 7. V.Saminathan, Dr.K.Paramasivam,2015, “A New Forth Element Memristor Model with new windowing functions using LTspice Programs”, Int. J. of Applied Engg.Research, ISSN 0973-4562 Vol. 10 (2015) pp: 29026- 29031. 8. Saminathan ,V , Paramasivam,K,2016, “Missing Fourth Element Memristor Modeling with New Window Function Derived from Sigmoid Logistic Equation” International Journal of Advanced Engineering Technology E-ISSN 0976-3945 ,Vol. 7, pp.384-386. 9. Saminathan,V, Paramasivam,K,2016, ‘Design and Analysis of Low Power Hybrid Memristor-CMOS Based Distinct Binary Logic Nonvolatile SRAM Cell’, Circuits and Systems,Volume.7 No.3 , pp. 119-127. 10. Saminathan, Dr. K. Paramasivam,2016, ‘A Novel Flexible Window Function for Modelling Nonlinearity of a Titanium Oxide Memristor for next generation emerging Nonvolatile Memory Applications’, Asian Journal of Research in Social Sci. and Humanities Vol. 6, No. 8, pp. 338-349. 11. A,K, Nigam, S, Singh and A,Tiwari, 2015, ‘6T SRAM Cell: Design and Analysis’, Int. Journal of Engg.Sci. and advance research. Authors: R. Darwin, S. Vinodhini Paper Title: Design of Multiband Wearable Rectangular Slot Antenna for WIMAX and WLAN Applications Abstract: The design of multiband wearable rectangular slot antenna operating at 2.9 GHz, 3.9 GHz and 5.1 GHz bands is explained in this paper. Wearable antenna requires certain conditions to be fulfilled like miniature size, weightless structure, physical flexibility, less maintenance and also operating with minimal degradation in proximity to the human body. Denim is used as a substrate material and Silver is used as a conducting material to meet the above requirements. The dimensions of the proposed design is 68x60 mm2. The simulated S-Parameter, VSWR, Gain and Directivity of the new design shows better performance. For the multiband operation the proposed antenna has a gain of 5.117 dB, 5.023 dB and 8.462 dB with VSWR of 1.517, 1.816 and 1.173 for 2.9 GHz, 3.9 GHz and 5.1 GHz respectively. The effects of electromagnetic radiation on the human body has also been analysed. The SAR was measured from the antenna by using the Voxel model. SAR values of the proposed design shows 0.8722 W/kg, 1.49 W/kg and1.44 W/kg as average values. It’s evident from the measured values that the antenna meets the SAR limits recommended by the ICNIRP, which is 1.6 W/kg averaged over 1 g of tissue. Computer Simulation Technology (CST) Microwave Studio package 2017 has been used for simulation purpose. This antenna design can be used for various applications under WiMAX and WLAN bands.

Keywords: Wearable Antenna, WLAN, WIMAX, Specific Absorption Rate, Multiband, Denim, Silver.

References: 1. Maria Lucia Scarpello, IldaKazani, Carla Hertleer, Hendrik Rogier, Senior Member, IEEE, and Dries VandeGinste, Member, “Stability and 48. Efficiency of Screen-Printed Wearable and Washable Antennas”, IEEEVOL. 11, 2012, pp. 838-841. 2. E. C. Lee et al., “Design of a flexible Minkowski- like pre-fractal (MLPF) antenna with different ground planes for VHF LMR,” Final Progr. B. Abstr. - iWAT 2011 2011 IEEE Int. Work. Antenna Technol. Small Antennas, Nov. Struct. Innov. Metamaterials, no. 1, pp. 298–301, 2011. 216-220 3. E.Lee et al., “Design and fabrication of a flexible Minkowski fractal antenna for VHF applications,” Proc. 5th Eur. Conf. Antennas Propag., pp. 521– 524, 2011. 4. S.Vinodhini,R.Darwin, “Review on Isolation Enhancement Techniques for MIMO Antennas”, Internation Journal Of Advance Research And Innovative Ideas In Education, Volume 4 Issue 1 2018. 5. A.P. Aparna, A. Chandramouli, Divya Raju, R. Darwin, “Massive MIMO: Implementation and its Challenges”, International Journal of Pure and Applied Mathematics, Volume 117 No. 22 2017, 101-106. 6. R.Elakkiya, N.M.Harshini, G.Karthikeyan, R.Darwin, “GreenRadio Communications Networks-Implementation and its Challenges”, International Journal of Pure and Applied Mathematics , Volume 118 No. 18 2018,3567- 3579. 7. B.Manikandan, P.J.Phavithra, S.Vinodhini, R.Darwin, “Overview of Millimeter Wave Communication 2018, ” International Journal of Pure and Applied Mathematics , Volume 118 No. 18 3573-3590. 8. E. K. Kaivanto, M. Berg, E. Salonen, and P. De Maagt, “Wearable circularly polarized antenna for personal satellite communication and navigation,” IEEE Trans. Antennas Propag., vol. 59, no. 12, pp. 4490–4496, 2011. 9. Karuna Gayatri K, Loshni T, Malaravan A, Darwin R, “A Review on Potential Solutions of Noma”, International Journal of Pure and Applied Mathematics, Volume 117 No. 22 2017, pp.39-43. 10. J. Sze, C. G. Hsu, and S. Hsu, “Design of a Compact Dual-Band Annular-Ring Slot Antenna,” vol. 6, pp. 423–426, 2007. 11. G. H. Z. W. Applications and w. Ren, “compact dual-band slot antenna for 2.4/5 ghz wlan applications w. Ren,” vol. 8, pp. 319–327, 2008. 12. Gai, S., Jiao, Y.-C., Yang, Y.-B., Li, C.-Y., 13. & Gong, J.-G. (2010). Design of a novel microstrip-feeddual-band slot antenna for WLAN applications. Progress in Electromagnetics Research Letters (PIER) ,13, 75–81. 14. Ooi, P. C., &Selvan, K.-T. (2010). A dual- band circular slot antenna with an offset microstrip- feed linefor PCS, UMTS, IMT-2000, ISM, BLUETOOTH, RFID and WLAN applications. Progress in ElectromagneticsResearch Letters (PIER), 16, 1–10. 15. Zhang, Z. (2011). Antenna design for mobile devices, Chap. 6 (pp. 189–195). Hoboken: Wiley. 16. S.Machi and G. BifJiGentili , “Dual-Frequency Patch Antennas”, IEEE, Antennas and Propagation Magazine, Vol. 39, No. 6, December2012, pp.493-512. 17. R. Darwin and G. Ishwarya, “Dual Band MIMO Antenna using Decoupling Slots for WLAN Applications”, Journal of Advanced Research in Dynamical and Control Systems, pp. 1138-1147,2017. Authors: M Mathankumar, P.Thirumoorthi Paper Title: Design and Implementation of In-network Multilevel Data Aggregation in Wireless Sensor Networks Abstract: In Wireless Sensor Network (WSN), the role of data computation and communication among the sensor nodes are noteworthy. At the instant of covering a huge area, lot of issues faced like lifetime of nodes, energy consumption, redundancy of data, faster data communication etc. To prevail over these issues, the multilevel data aggregation within the network is designed and implemented with the help of PIC and ARM microcontrollers. The multilevel aggregation superintends the redundancy of data effectually in contrast to single or two level data aggregation. It is appended to intensify the lifetime of the network by decreasing the amount of data transmission to Base Station (BS) and aggregating the similar as well as near similar data packets in an effective methodology. By exploiting this in a wide agriculture fields, diverse parameters can be easily monitored such as temperature, moisture, soil and water levels etc. Using the BS data, the required actions can be performed in the field.

Keywords: Wireless sensor network, In-network, Multi level data aggregation, Microcontrollers, Lifetime, Energy, Agriculture.

References: 49. 1. Ajay Jangra Swati and Priyanka, “Wireless Sensor Network (WSN): Architectural Design issues and Challenges”, International Journal on Computer Science and Engineering Vol. 02, No. 09, pp. 3089-3094, 2010. 221-224 2. Vaibhav Pandey, AmarjeetKaur and Narottam Chand, “A review on data aggregation techniques in wireless sensor Network”, Journal of Electronic and Electrical Engineering Vol. 1, Issue 2, pp. 01-08, 2010. 3. Rajkanna U and Manivannan D “Status monitoring and control in industrial application using mobile relay node – LPC2148”, International Journal of Engineering and Technology, Vol. 5, No. 2, pp.1178–1182, 2013. 4. Devendar Mandalat, Fei Dait, Xiaojiang Dutand Chao Yout,“Load Balance and Energy Efficient Data Gathering in Wireless Sensor Networks” IEEE computer engineering, 2006. 5. Sugandhi N and D Manivannan, “Analysis of Various Deterioration Factors of Data Aggregation in Wireless Sensor Networks”, in International Journal of Engineering and Technology (IJET), Vol 5 No 1, 2013. 6. M Preethi, M Mathankumar, N Sugandhi, “Elucidation of Effectual and Immune Multipath Routing with Multilevel Data Aggregation in Wireless Sensor Networks”, in International Journal of Applied Engineering Research (IJAER), Vol. 10 No.20, 2015. 7. Mathankumar M, Viswanathan T, Dineshkumar T, “Implementation of Data Gathering System Using Mobile Relay Node in Wireless Sensor Network”, International Journal of Pure and Applied Mathematics (IJPAM), 116(11), pp. 111-119, 2017. 8. Abhijith H.V, Dr M Dakshayini, “Efficient Multilevel Data Aggregation Technique for Wireless Sensor Networks,” in IEEE conference publications, 2013. 9. Bilal Jan, Haleem Farman, Huma Javed, Bartolomeo Montrucchio, Murad Khan and Shaukat Ali, “Energy Efficient Hierarchical Clustering Approaches in Wireless Sensor Networks: A Survey” in Hindawi, Wireless Communications and Mobile Computing, 2017. 10. Sathya D, Ganesh Kumar P, “Secured data aggregation in wireless sensor networks” in Sensor Review, Vol. 38 Issue: 3, pp.369-375, 2018. Authors: R.S.Sandhya Devi, P.Sivakumar, Sukanya M Paper Title: Offline Analysis of Sensor Can Protocol Logs Without Can/Vector Tool Usage Abstract: This paper presents Offline Sensor CAN protocol Log file Analysis. Windows platform C language Compiler tool is selected to replace the conventional Analysis using Vector CANoe tool because of its advantages in terms of simplicity, flexibility, license-free hardware, less execution time and portability. In the proposed method, a C script was developed to tokenize the desired CAN elements into array of structures for various Analysis using any C compiler windows platform tool. According to the Analysis, the CAN elements of interest are brought and Analysis is performed. An optimized C script developed gives the expected result similar to results obtained in Vector CANoe using CAPL script. Performance can be analyzed in terms of execution time, and cross checking the Analysis results obtained is done using both CAPL script and C script. The purpose of this optimized technique is to ensure Test Analysis and can be made possible even without costly Vector hardware license and to obtain Test results offline with less processing time

Keywords: CAN Protocol, CAN channel, RAdio Detection And Ranging, CAN Access Programming Language.

References: 50. 1. Fang Zhou, Shuqin Li, Xia Hou: “Development Method of Simulation and Test System for Vehicle Body CAN Bus Based on CANoe”, Proceedings of the 7th World Congress on Intelligent Control and Automation June 25 - 27, 2008 225-229 2. Wu Kuanming: “The Theory and Design of Application System of CAN Bus”, Beijing: Beijing University of Aeronautics and Astronautics Press, 2001. 18-34. 3. Vector Informatik GmbH. CANoe Manual (Version 5.2). 2005. 4. Yang Li, Yan Weisheng, Gao Jian, Zhang Lichuan: “CAN System Development Based on CANoe Measurement and Control Technology”, 2007, 26(4):66-67, 75. 5. Zhang Xinbo, Sun Zechang, Luo Feng: “Study on CAN Body Network Simulation with CANoe”, Journal of Jiangsu University (Natural Science Edition), 2003, 24(5): 36-39. 6. Sivakumar, P., B. Vinod, RS Sandhya Devi, and ER Jayasakthi Rajkumar. "Real-time task scheduling for distributed embedded system using MATLAB toolboxes." Indian Journal of Science and Technology 8, no. 15 (2015). 7. Paret, Dominique. Multiplexed networks for embedded systems: CAN, LIN, Flexray, Safe-by-Wire... John Wiley & Sons, 2007. 8. Mathankumar M., Suryaprakash S., Thirumoorthi P., Rajkanna U, Development of smart car security system using multi sensors, International Journal of Pure and Applied Mathematics (IJPAM), 117(22), pp. 19-23, 2017. 9. Nethaji Kumar D, L.Bharathi, R Mahadevan,” Polynomial Time Routing Algorithm To Identify Shortest Path In A Distributed Wireless Networks”, International Journal Of Innovations In Scientific Andnal Of Innovations In Scientific And Engineering Research, Vol .4, Iss. 10,2017, Pp. 204-208. 10. Vijayanandh R , Senthil Kumar M, Vasantharaj C , Raj Kumar G, Soundarya S ,” Numerical Study On Structural Health Monitoring For Unmanned Aerial Vehicle”, Journal Of Advanced Research In Dynamical And Control Systems, Vol. 9, Sp– 6 , 2017, Pp. 1937-1958. 11. A.Amsaveni And K.Anusha,” A Circularly Polarized Triangular Slot Reconfigurable Antenna For Wireless Applications”, International Journal Of Pure And Applied Mathematics, Vol.116, No.11, 2017,Pp. 81-89. Authors: R.Sureshkumar 51. Paper Title: Design and Implementation of Smart Parking Management System Using Image Processing Abstract: This paper intends to exhibit a framework that consequently identifies the sort of vehicle, guides it, and 230-233 checks the quantity of vehicles and distinguish the vacant plot number at the parking region. This framework utilizes image processing method. If the vehicle approaches the parking region, the image of the vehicle is caught. In light of the image obtained, the framework distinguishes the vehicle type. The vehicle utilized in this framework are bus, car and bike. Likewise, the image of the parking territory is caught and the framework tallies the quantity of vehicles, the plot number and shows the parking status. If the bus is recognized at the passage, it is coordinated towards west and if car is identified, it is coordinated towards the east and if Bike is distinguished, it is coordinated towards north side of the parking zone in the parking status. This proposed framework can be successfully utilized in the parking zone which includes parking of various sorts of vehicles.

Keywords: Vehicle location, Vehicle checking, Parking slot recognition, image processing.

References: 1. R. Yusnita, FarizaNorbaya, and NorazwinawatiBasharuddin, “Intelligent Parking Space Detection System Based on Image Processing”, International Journal of Innovation, Management and Technology, Vol. 3, No. 3, June 2012, pp.232-235. 2. Ms .Sayanti Banerjee, Ms. PallaviChoudekar and Prof. M. K. Muju. “Real time car parking system using image processing,” 2011. IEEE, pp. 99-103. 3. W. Yao and U. Stilla, “Comparison of two methods for vehicle extraction from airborne lidar data toward motion analysis,” IEEE Geosci. Remote Sens. Lett., vol. 8, no. 4, pp. 607–611, Jul. 2011. 4. R.Sureshkumar, “Three phase load balancing and energy loss reduction in distribution network using labVIEW” in International journal of pure and applied Mathematics, Vol No.116,No.11,2017,pp 181-189. Authors: G. Anushree, Rani Thottungal Paper Title: Wireless Sensor Networks Based Online Ambient Monitoring Abstract: Indoor ambient monitoring plays a vital role in air quality management. Monitoring parameters include temperature, pressure, and humidity. The statistical data which is measured is sent using the existent wireless infrastructure which is based on the IEEE 802.15.4 b/g standards. The characteristics and performance of the resulted device are comparable with the ones that are provided by recognized solutions, like ZigBee-based sensor nodes. Further, gathered data can be implemented with data connectivity and ambient sensors As a result of testing, lifetime of the system is for up to three years on a single 3 V small battery.

Keywords: Sensor systems, wireless sensor networks, reconfigurable architecture, Internet.

52. References: 1. Mathankumar M., Viswanathan T., Dineshkumar T, Implementation of Data Gathering System Using Mobile Relay Node in Wireless Sensor 234-237 Network, International Journal of Pure and Applied Mathematics (IJPAM), vol.116, No.11, pp.2017, 111-119. 2. R.S. Sandhya Devi, V.R. Vijay Kumar S, Sridevi “Application development for reservation based parking slot allotment and management system using Android International Conference on Innovations in Information, Embedded and Communication Systems “(ICIIECS), March 2017 3. S. Sharma, V. N. Mishra, R. Dwivedi, and R. R. Das, “Quantification of individual gases/odors using dynamic responses of gas sensor array with ASM feature technique,” IEEE Sensors J., vol. 14, No. 4, pp. 1006–1011, 2014. 4. Xively. Xively Is the Public Cloud Specifically Built for the Internet of Things. [Online]. Available: https://xively.com/whats_xively/ 5. H. Yang, Y. Qin, G. Feng, and H. Ci, “Online monitoring of geological CO2 storage and leakage based on wireless sensor networks,” IEEE Sensors J., vol. 13, No. 2, pp. 556–562, 2013 6. Latha, k.Gayathri Devi,” A New Approach To Image Retrieval Based On Sketches using Chamfer Distance”, Journal Of Advanced Research In Dynamical And Control Systems, Vol 9 no 6 , 2017,pp1959-1968. 7. PointSix. WiFi 2000 ppm CO2 and Temperature Transmitter 3008-40-V6. PointSixWireless,DataSheet.[Online].Available: http://www.pointsix.com/PDFs/3008-40-V6.pdf. Authors: R. S. Sandhya Devi, Sushma.R, Shyam Sundar G.S Paper Title: Circular Car Parking Using Pic Microcontroller Abstract: Automation is the one of the most promising sector with advent of technology. Due to the increasing population in urban settlements, the vehicle traffic has also increased in these settlements. In this study, in order to overcome these problems, a circular multi-stored automatic parking system model that is fully controlled by PIC (Peripheral Interface Controller) microcontroller is built. The vehicle recognition as well as the parking slot detection is efficiently carried out by ultra-sonic sensors and infra-red sensors. The results obtained have showed that the model can provide significant contributions to the solution of problems resulting from parking.

Keywords: PIC microcontroller, Sensors, Parking lot automation, Vertical moving rods.

References: 53. 1. P. Thakare and N. A. Chavan, “Performance evaluation of parking guidance and management system using wireless sensor network,” International Journal of Recent Technology and Engineering, vol. 1, no. 2, pp. 96-102, 2012. 238-240 2. http://www.uh.edu/facilitiesservices/departments/fpc/design-guidelines/09_parking.pdf https://en.wikipedia.org/wiki/Relay 3. https://www.sefindia.org/forum/files/2194924_8_multi_storey_car_parking_159.pdf Jim Hill, “Car Park Designers Handbook’’, Thomas Telford Publications 4. Mathankumar M et al., “Implementation of Data Gathering System Using Mobile Relay Node in Wireless Sensor Network”, International Journal of Pure and Applied Mathematics (IJPAM), 116(11), pp. 111-119, 2017. 5. Mathankumar M., Suryaprakash S., Thirumoorthi P., Rajkanna U, Development of smart car security system using multi sensors, International Journal of Pure and Applied Mathematics (IJPAM), 117(22), pp. 19-23, 2017. 6. L.Latha, K.Gayathri Devi,”A New Approach To Image Retrieval Based On Sketchesusing Chamfer Distance”, Journal Of Advanced Research In Dynamical And Control Systems, Vol. 9. Sp– 6 / 2017, Pp.1959-1968. 7. K. Pradeep Mohankumar,M.Saravanan, Andm.Aramuthan,” Hybrid Network Intrusion Detection System Based On Gann Models”, International Journal Of Pure And Applied Mathematics, Vol.116 ,No. 11 ,2017, pp.31-39. 8. k.Tharani Priya, v.Karthikeyan,” Detect The Incredible Action In Eventful Environments Using Swarm Interlligence”, International Journal Of Innovations In Scientific And Engineering Research , Vol.4, Issue.1, 2017, Pp.36-39. Authors: P. Maithili, J. Kanakaraj, T.Viswanathan 54. Paper Title: Modeling and Analysis of PV Fed DC-DC Converters Abstract: The renewable energy sources Fuel cell, solar PV has low output voltage characteristics. These energy output 241-244 voltage should be stepped up with high efficiency to the electrical network standards to connect them into the grid. To regulate the power from renewable sources and to match the load demand and grid requirement in order to improve the dynamic and steady-state characteristics of the system the power electronic converters are used. In this paper, a various DC- DC converter topologies are analyzed mathematically and simulated using MATLAB SIMULINK software. The performance of these converters is analyzed based on the simulation results obtained. Thus, the suitable converter for non- conventional energy source application is identified

Keywords: Boost, Buck-Boost, Cuk, SEPIC and Zeta Converter, Duty ratio, PV system.

References: 1. Chen, Z. (2012). PI and sliding mode control of a Cuk converter. IEEE Transactions on Power Electronics, 27(8), 3695-3703. 2. Luo, F. L. (2001). Seven self-lift DC-DC converters, voltage lift technique. IEE Proceedings-Electric Power Applications, 148(4), 329-338. 3. D. S. L. Simonetti, J. Sebastian, F. S. dos Reis, and J. Uceda, Design criteria for SEPIC and Cuk converters as power factor Pre-regulators in discontinuous conduction mode,in Proc. IEEE Ind. Electron. Motion Control Conf., 1992, vol. 1, pp. 283–288. 4. Schupbach, R. M., & Balda, J. C. (2003, June). Comparing DC-DC converters for power management in hybrid electric vehicles. In Electric Machines and Drives Conference, 2003. IEMDC'03. IEEE International (Vol. 3, pp. 1369-1374). IEEE. 5. ME, R. S. R. B., ME, S. D., & ME, S. J. (2014). A closed loop control of quadratic boost converter using pid controller. International Journal of Engineering-Transactions B: Applications, 27(11), 1653-1662. 6. P. Maithili, C. Udhayashankar, K. Malarvizhi, Dr.Ranithottungal and S. Vidhya, “Zero Voltage and Zero Current Switching Buck-Boost DC/DC converters using partial Resonant Circuit”CiiT international Journoul of digital signal processing,vol.3, no.2,2011. Authors: M. Rahasudha, S Vinothini, M. Mathankumar Paper Title: Intelligent Architecture for Illumination Control in LED Lighting System Abstract: Nowadays energy consumption in buildings largely depends on the lighting system. To get light naturally Sun is the source but it is not available all the time. Hence we are always in need of an artificial source to produce light. This artificial source should contribute in energy consumption. Therefore, the selection of luminaries should be better in the working environment. In this paper, Light Emitting Diode (LED) based lighting system is implemented. The illumination control is not based on sensors for LED lightings which are networked. In order to model all nonlinear and linear relationship, a scheme is introduced which has Multiple Inputs Multiple Outputs (MIMO) and closed loop neural network. Since the scheme does not depend on lighting simulation software, microcontrollers are used in the hardware setup for easy implementation and flexibility. Light sensors are not used in control loops for energy saving. Hence, the installation will be easy and accuracy will also be high. The closed loop neural network system has faster response. In addition with this, buzzer circuit is included for safety measures within the buildings.

Keywords: IlluminationControl,Energysaving,LEDLightingSystem,Feedbackcontrol,MIMO,PIC,Skinrange

References: 1. D. Caicedo and A. Pandharipande, “Distributed illumination control with local sensing and actuation in networked lighting systems,” IEEE Sensors J., vol. 13, no. 3, pp. 1092–1104, Mar. 2013. 55. 2. M. Fischer, K. Wu, and P. Agathoklis, “Intelligent illumination model based lighting control,” in Proc. 32nd ICDCSW, pp. 245–249, 2012. 3. Hyunseok Kim, Youjin Kim, Dae Ho Kim, Hyun Jong Kim, and Tae-Gyu Kang, Seongju Chang and DongjunSuh, “Autonomous Lighting Control 245-248 based on Adjustable Illumination Model”, IEEE 2013. 4. C.C. Sun, W.T. Chien, I. Moreno, C.-C. Hsieh, and Y.-C. Lo, “Analysis of the far-field region of LEDs,” Opt. Exp., vol. 17, no. 16, pp. 13 918–13 927, Aug. 2009. 5. Duong Tran and Yen Kheng Tan, “Sensorless Illumination Control of a Networked LED-Lighting System Using Feed forward Neural Network”, IEEE Transactions On Industrial Electronics, Vol. 61, No. 4, April 2014. 6. M. T. Koroglu and K. M. Passino, “Illumination balancing algorithm for smart lights,” IEEE Transactions On Control Systems Technology, Vol. 22, No. 2, pp. 557-567, March 2014. 7. Pandharipande and D. Caicedo, “Adaptive illumination rendering in LED lighting systems,” IEEE Transactions On Systems, Man, And Cybernetics: Systems, Vol. 43, No. 5, pp. 1052-1062, Sep. 2013. 8. Sharmitha D, Maithili P, “Solar Powered Intelligent Street Lighting System for Highway Application”, International Journal of Pure and Applied Mathematics (IJPAM), Vol. 116, No.11, 2017, pp. 151-160. 9. Mathankumar M, Preethi M, Kala Ranjani R, Sugandhi N, “An Integrated Dynamic Power Safeguard System using Defense Surveillance Robots”, International Journal of Advanced Intelligence Paradigms (IJAIP), 8(2), pp. 219-228, 2016. 10. R Kala Ranjani, M Mathankumar, “A Neural Network Based Self Fulfilling prophecy Approach to Steer Illumination In LED Lighting System”, International Journal Of Applied Engineering Research, vol. 10, issue 21, pp. 20323-20329, 2015. 11. J. M. Alonso, J. Ribas, J. J. D. Coz, A. J. Calleja, E. L. Corominas, and M. Rico-Secades, “Development of a distributive control scheme for fluorescent lighting based on LonWorks technology,” IEEE Trans. Ind.Electron., vol. 47, no. 6, pp. 1253–1262, Dec. 2000. 12. M. S. Shur and A. Zukauskas, “Solid-state lighting: Toward superior illumination,” Proc. IEEE, vol. 93, no. 10, pp. 1691–1703, Oct. 2005. 13. Z.Z.Wang and Y. K. Tan, “Illumination control of LED systems based on neural network model and energy optimization algorithm,” Energy Build., vol. 62, pp. 514–521, Jul. 2013. Authors: M. Mathankumar, P. Thirumoorthi Paper Title: Robo Farming - A Platform for Unmanned Agriculture Abstract: Modernization in the field of agriculture augments day by day. The robotic control systems play imperative role in modernization of diverse fields. For farm preparation in agriculture field a system based on robots is developed, which reduces the human power. The proposed architecture has two main sections such as monitoring section and control (robotic) section. The communication between them is done through wireless technologies. The control section is constructed by using temperature sensor, humidity sensor, seed dispenser, seed storage, sprayer construction, robotic system 56. with motors, wireless camera network, microcontroller, Zigbee transceiver and power supply. The entire system is 249-252 controlled by microcontroller, which dictates the operating sequence to all networks. Here sensor outputs are processed by their corresponding embedded programs, robot driven by their internal motors in desired directions. Based on the wireless camera footages monitoring section transmits the commands for ploughing, seed sowing and spraying using LABVIEW software through Zigbee.

Keywords: Farming, Sensors, Robots, LABVIEW, PIC microcontroller, Zigbee, Agriculture. References: 1. Simon Blackmore, Bill Stout, Maohua Wang, Boris Runov , “Robotic agriculture – The future of agriculture mechanism”, Agro Technology, The royal veterinary and agriculture university, 2005. 2. H. Pota, R. Eaton, J. Katupitiya, S.D. Pathirana, “Agricultural robotics: A streamlined approach to realization of autonomous Farming”, Second IEEE international conference on industrial and information system, pp. 85-90, 2007. 3. Nithin P V, Shivaprakash S, “Multi-purpose agricultural robot”, International Journal of Engineering Research, Vol. 5, Issue 6, pp. 1129-1154, 2016. 4. V R Balaji, N Prakash. “IOT Based Smart Security and Monitoring Devices For Agriculture” International Journal of Pure and Applied Mathematics, Vol. 116, No.11, 2017, pp. 121-129. 5. ShantaNiloy Paul, Abu Shakil Ahmed, Md. NurunnabiMollah, MdMunimRayhan, EklasHossain, “Simplistic Approach to Design a Prototype of Autonomous, Affordable and Highly Efficient Agricultural Sprayer Robot”, Proceedings of 4th International Conference on Advances in Electrical Engineering, 2017. 6. Sagar R. Chavan, Rahul D. Shelke, Shrinivas R. Zanwar, Enhanced Agriculture Robotic System”, International Journal of Engineering Sciences and Research Technology, Vol. 4(2), pp. 368-371, 2015. 7. K DurgaSowjanya, R SIndhu, M Parijatham, K Srikanth, P Bhargav, “Multipurpose Autonomous Agricultural Robot”, International Conference on Electronics, Communication and Aerospace Technology, 2017. 8. ShriyashThawali, Bobby Yadav, HarshalRumde, R S Sewane, “Design and Manufacturing of Robot for Digging and Seeding in Agriculture”, International Conference on Ideas, Impact and Innovation in Mechanical Engineering, Vol. 5, Issue 6, pp. 1637-1644, 2017. 9. T Hemalatha, B Sujatha, “Sensor Based Autonomous Field Monitoring Agriculture Robot Providing Data Acquisition and Wireless Transmission”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 3, Issue 8, pp. 7651-7657, 2015. 10. Charansingh A. Patil, Sunil U. Nyati, “Survey on Multifunctional Robotic Vehicle for Agriculture Application”, BEST: International Journal of Management, Information Technology and Engineering, Vol.3, Issue 6, pp. 35-38, 2015. 11. Mathankumar M, Preethi M, Kala Ranjani R, Sugandhi N, “An Integrated Dynamic Power Safeguard System using Defense Surveillance Robots”, International Journal of Advanced Intelligence Paradigms (IJAIP), 8(2), pp. 219-228, 2016. Authors: M. Babu Prasad Paper Title: GSM based Health Care Monitoring System Abstract: Health care monitoring system nowadays requires instant sensing, precision predictions and of immediate response with medication which contains sensing modules to measure parameters like temperature of body, beat rate of heart, sweat rate and transfer it to the computer so that health condition of a patient can be analyzed remotely. Thus, it reduces the doctor’s workload and also gives accurate results. Further this system uses GSM technology which enables the monitoring of all parameters on the mobile phone. The inputs are analysed through micro controller platform from the patient and any abnormality felt by the patient causes the monitoring system to send a message to the respected caretaker. These are the essential data for the future analysis and review of patient’s health condition. This may be added with additional features like monitoring pressure of blood modules, dental screening modules etc. so as to make this a very real time application oriented device. This will enhance the another stepping stone towards patient care systems

Keywords: GSM module, health care monitoring, Heart beat sensor, GSR sensor, Photo Phylethysmography.

References: 1. Thirumoorthi P, Raheni T D,” Adaptive Method for Power Quality Improvement through Minimization of Harmonics Using Artificial Intelligence”, 57. International Journal of Power Electronics and Drive System,Vol. 8, No. 1, March 2017, pp. 470~482 2. M Mathankumar, M Preethi, R Kala Ranjani, N Sugandhi “An integrated dynamic power safeguard system using defence surveillance robots” 253-255 International Journal of Advanced Intelligence Paradigms Vol.8 Issue.2, pp.219-228, 2016 3. Purnima, Puneet Singh,” .Zigbee and GSM Based Patient Health Monitoring System”, Conference on Electronics and Communication System (ICECS-2014) 4. Sushama Pawar, P.W.Kulkarni,” Home Based Health Monitoring System Using Android Smartphone”, International Journal of Electical,Electronics and Data Communication, Vol-2, Issue-2, Feb-2014 5. Praveen Halapeti, Prof.Shantala Patil,” Healthcare Monitoring System Using Wireless SensorNetworks”, International Journal of Advanced Research in Computer Science & Technology, Vol. 2, Issue 2, Ver. 3 6. Benhauddu D, Balakrishnan M, Yuan X, “Remote Healthcare Monitoring System Architecture using Sensor Networks”, IEEE Region 5 Conference, July 2008 7. http://www.rroij.com/open-access/wireless-health-care-monitoring.pdf 8. https://www.ijedr.org/papers/IJEDR1401108.pdf 9. https://www.survivingwithandroid.com/2016/06/iot-project-tutorial-smart-plant-system.html 10. Nethaji Kumar D, L.Bharathi, R Mahadevan,” Polynomial Time Routing Algorithm To Identify Shortest Path In A Distributed Wireless Networks”, International Journal Of Innovations In Scientific Andnal Of Innovations In Scientific And Engineering Research, Vol .4, Iss. 10,2017, Pp. 204-208. 11. Vijayanandh R , Senthil Kumar M, Vasantharaj C , Raj Kumar G, Soundarya S ,” Numerical Study On Structural Health Monitoring For Unmanned Aerial Vehicle”, Journal Of Advanced Research In Dynamical And Control Systems, Vol. 9, Sp– 6 , 2017, Pp. 1937-1958. 12. ] A.Amsaveni And K.Anusha,” A Circularly Polarized Triangular Slot Reconfigurable Antenna For Wireless Applications”, International Journal Of Pure And Applied Mathematics, Vol.116, No.11, 2017,Pp. 81-89. Authors: N. Mohana Sundaram, S. Arunkumar, S. Kaliappan Paper Title: Smart Home Security Monitoring System Using IOT Abstract: The IoT with its ability to control things by mobile phones and personal computers has made the life smarter, sophisticated and resulted in various new inventions. The idea of this paper is to employ the IoT concept to model a smart home security system, which can be accessed at remote. This design incorporates both hardware model and web server database. With various sensing units like Infrared deterrent indicator, Gas Sensor, Force Resistive Sensor the information about the different parameters of housing system are collected, processed to take action and stored for future reference. Whenever the sensor system senses any abnormality in the house, the inbuilt GSM module gives a ready notification with 58. interruption detection and gas spillage. The advantage of this lies in transferring the information over number of devices and obstacles without any signal issues. The HTML and PHP scripting dialects are used to display the status of the house 256-258 monitoring on website and are saved in MySQL database for future reference. The proposed system has been experimentally verified with satisfying results.

Keywords: Smart Home, Remote Sensors, IoT, GSM, Wi-Fi Module

References: 1. Muhammad IzharRamli, MohdHelmyAbdWahab, Nabihah, “Towards Smart Home: Control Electrical Loads Online”, Nornabihah Ahmad International Conference on Science and Technology, Application in Industry and Education (2006). 2. E. Yavuz, B. Hasan, I. Serkan and K. Duygu, “Safe and Secured PIC based Remote Control Application for Intelligent Home”, International Journal of Computer Science and Network Security, vol. 7, no. 5, May2007. 3. R. Shahriyar, E. Hoque, S. Sohan, I. Naim, M. M. Akbar and M. K. Khan, “Remote Controlling of the Home Appliances using Mobile Telephony”, International Journal of Smart Home, vol. 2, pp. 37-54, 2008. 4. N. Sriskanthan and Tan Karand, “Bluetooth Based Home AutomationSystem”, Journal of Microprocessors and Microsystems, vol. 26, pp. 281289, 2002. 5. JitendraRajendra and Pawar, Sunil N., Zigbee Based Home Automation (April 10, 2010). [Online] Available: http://ssrn.com/abstract=1587245orhttp://dx.doi.org/10.2139/ssrn.1587245. 6. Sirsath N. S, Dhole P. S, Mohire N. P, NaikS. C and Ratnaparkhi N.S Department of Computer Engineering, 44, Parvati, Pune-411009, India University of Pune, “Home Automation using Cloud Network and Mobile Devices”, ITSI Transactions on Electrical and Electronics Engineering (ITSI-TEEE), ISSN (PRINT) : 2320 – 8945, vol. 1, Issue 2, 2013. 7. N. MohanaSundaram, S. Arunkumar, “An Approach of IOT Based Air Pollution Monitoring and Control System”, International Journal of Electronics, Electrical and Computational System (IJEECS), ISSN 2348-117X, vol. 6, Issue 7, July 2017 8. Basra M. Mohammad El-Basioni1, Shrine M. Abd El-kader and Mahmoud AbdelmonimFakhreldin, “Smart Home Design using Wireless Sensor Networks and Biometric Technologies”, International Journal of Application or Innovation in Engineering & Management (IJAIEM), vol. 2, Issue 3, March 2013. 9. V R Balaji and N.Prakash, “IOT based Smart Security and Monitoring Devices for Agriculture”, International Journal of Pure and Applied Mathematics (IJPAM), ISSN: 1311-8080, vol. 116, no. 11, 2017, pp. 121-129. Authors: S. Arunkumar, N. MohanaSundaram Paper Title: An Approach of Power Quality Improvement in BLDC Motor Using Bridgeless LUO Converter Abstract: BLDC motors are expected to be one of the fastest growing end product for household applications as well as irrigation purpose due to its electronic commutation feature, good running performance and overall efficiency. These motor drives, when combined with the use of power electronic converters poses challenges in power quality in terms of reduced supply power factor. In order to overcome these problem, it is proposed to employ a bridgeless LUO converter in BLDC Motor Drive system. The LUO converter possess high voltage transfer gain, high power density, reduced ripple voltage and current, thereby leading to improved power factor. The proposed scheme is modelled in MATLAB/Simulink platform and are simulated to find out the power factor and torque behavior.The results indicate the satisfactory performance of the proposed scheme in terms of power factor improvement and reduced ripple in electromagnetic torque waveform.

Keywords: BLDC Motor, Power Quality, LUO Converter, Torque Ripple, Irrigation, Power Factor

References: 1. B. Shinde and S. S. Wandre, “Solar photovoltaic water pumping system for irrigation: A review”, African Journal of AgriculturalResearch, vol. 10, pp. 2267-2273, 2015. DOI -10.5897/AJAR2015.9879. 2. MohanlalKolhe, J. C. Joshi and D. P. Kothari, “Performance Analysis of a Directly Coupled Photovoltaic Water-Pumping System”,IEEE Trans. on energy conversion, vol. 19, pp. 613-618, 2004. DOI - 10.1109/TEC.2004.82703. 59. 3. NafisaBinteYousuf, Khosru M. Salim, RafidHaider, Md. RajinAlam and Fatima Binte Zia, “Development of a Three Phase InductionMotor Controller for Solar Powered Water Pump”, 2nd International Conference on the Developments in Renewable Energy Technology(ICDRET), Jan. 259-262 2012. 4. J. V. Mapurunga Caracas, G. De CarvalhoFarias, L. F. Moreira Teixeira and L. A. De Souza Ribeiro, “Implementation of a High-Efficiency, High- Lifetime and Low-Cost Converter for an Autonomous Photovoltaic Water Pumping System”, IEEE Trans. on industry applications, vol. 50, pp. 631- 641, 2014. DOI - 10.1109/TIA.2013.2271214. 5. R. Krishnan, “Electric Motor Drives: Analysis, Modeling and Control”, Prentice Hall Inc., New Jersey, 2001. 6. Rajan Kumar and Bhim Singh, “Solar PV Array Fed Cuk Converter-VSI Controlled BLDC Motor Drive for Water Pumping”, IEEE Power India International Conference (PIICON), Dec. 2014. DOI - 10.1109/POWERI.2014.7117669 7. Rajan Kumar and Bhim Singh, “Buck-Boost Converter Fed BLDC Motor Drive for Solar PV Array Based Water Pumping”, IEEE International conference on Power Electronics, Drives and Energy Systems (PEDES), Dec. 2014 DOI - 10.1109/PEDES.2014.7042001 8. B. Singh and V. Bist, “Power Factor Correction in a Brushless DC Motor Drive Using an Isolated-Luo Converter”, IEEE Transaction on Industrial Electronics, June 2015 9. V.Vlatkovic, D. Borojevic and F.C. Lee, “Input Filter Design for Power Factor Correction Circuits,” IEEE Transaction Power Electronics,vol.11, no.1, pp.199-205, Jan 1996. 10. B. Singh, B. N. Singh, A. Chandra, K. Al-Haddad, A. Pandey and D.P. Kothari, “A review of single-phase improved power quality ACDC converters,” IEEE Trans. Ind. Elect.,vol.50,no.5,pp.962– 981,Oct. 2003. 11. S.Arunkumar and S.Thangavel, "A Review Paper on Torque Ripple Reduction in Brushless DC Motor Drives with Different Multilevel Inverter Topology", TELKOMNIKA Indonesian Journal of Electrical Engineering, vol. 13, No. 1, pp. 65- 75, January 2015. 12. S.Arunkumar and J.PearlyCatherine,"A Novel Method of Power Quality Improvement in BLDC Motor Using Cascaded H-Bridge MLI Topology", Intelligent and Efficient Electrical Systems. Lecture Notes in Electrical Engineering, Springer, Singapore, vol.446, pp. 107-115, December 2017. 13. S.Arunkumar, N.MohanaSundaram and Rani Thottungal,"An Experimental Investigation of PFC BLDC Motor Drive Using Bridgeless Cuk Derived Converter", International Journal of Pure and Applied Mathematics, vol. 116, no. 11, 2017, pp. 141-149 Authors: P. Venkatesh, Rani Thottungal, J.Ramprabu Paper Title: Smart Home IOT Abstract: This paper describes how IoT connects all the electrical appliances to the internet and feeds the data to the online dashboard with periodic interval. It provides two-way communication that helps to keep the status of all the devices in the Smart Home IoT and controlling them using smart-phone from any place of the world. By programming we can have the control of electrical equipment power consumption and reduce the electricity bill. The moment switching on the Air conditioner the Windows are automatically closed parallel fans in that room is switched off, thus avoids the excess energy consumption. Gas sensor alerts the gas leakage in kitchen to the owner of the house irrespective of availability in home. 60. Flame sensor also detects and inform to the house owner if any flame occurs. The control and switching of devices can be 263-266 achieved by either physical switch or smart-phone app. The monitoring may have designed as live dashboard, gauge, widget led in smartphone.

Keywords: Ethernet shield, Smart Home, Blynk app, sensors

References: 1. Andrea Zanella and Lorenzo Vangelista “Internet of Things for Smart Cities” in IEEE INTERNET OF THINGS JOURNAL, VOL. 1, NO. 1, FEBRUARY 2014 2. Marc Barcelo, Alejandro Correa, Jaime Llorca, Antonia M. Tulino, Jose Lopez Vicario, and AntoniMorell “IoT-Cloud Service Optimization in Next Generation Smart Environments” in IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 34, NO. 12, DECEMBER 201 3. Tarikul Islam, Subhas Chandra Mukhopadhyay and Nagender Kumar Suryadevara “Smart Sensors and Internet of Things: A Postgraduate Paper” in IEEE SENSORS JOURNAL, VOL. 17, NO. 3, FEBRUARY 1, 2017 4. Yun-Wei Lin, Yi-Bing Lin, Chung-Yun Hsiao and Yun-Yen Wang “IoTtalk-RC: Sensors as Universal Remote Control for Aftermarket Home Appliances” in IEEE INTERNET OF THINGS JOURNAL, VOL. 4, NO. 4, AUGUST 2017 5. Kun-Lin Tsai, Fang-YieLeu and Ilsun You “Residence Energy Control System Based on Wireless Smart Socket and IoT” in IEEE Access 10.1109/ACCESS.2016.2574199 6. Murad Khan, BhagyaNathali Silva, And Kijun Han “Internet of Things Based Energy Aware Smart Home Control System” in IEEE Access Special Section On Future Networks: Architectures, Protocols, And Applications, October 31, 2016 7. J. Ramprabu, D.Kamini “Remote monitoring and controlling of green house via GPRS” in international journal of computer science information and engg Vol. 3, No.2, 2013 8. J Ramprabhu, K nandini ” Tamper-proofing of Embedded System Software”, International Journal of Engineering and Innovative Technology (IJEIT), Volume 3, Issue 4, October 2013. 9. T. Karuppusamy, C. Velmurugan, S. Saran, K. SukanthanBabu, “Investigation On The Microstructure And Wear Characteristics Of Heat Treated Hybrid Aluminium Composites”, Journal Of Advanced Research In Dynamical And Control Systems, Vol. 9, Sp– 6, 2017, Pp.1985-1912. 10. S. NithyaRoopa,” An Incremental Learning With CGHSSL for Unsupervised Feature Selection of Benchmark Dataset”, International Journal of Pure and Applied Mathematics, Volume 116, No. 11, 2017, pp.231-239. Authors: T. Balachander, M. Manikandan, T. Sasikumar, N. MohanaSundaram Paper Title: Rough Terrain Robot Abstract: The technological advancements have created a drastic change in delivering different versions of robots for varying applications. Research on developing robots that can replace the challenging work done especially by military people is still on progress.In this context, the proposed idea is to develop a robot with a special leg design, suitable for movement over rough and rugged terrains. Additionally, through a camera and RF module, the surroundings can be recorded and transmitted to the user. Along with the support of GSM and GPS module fitted with the robot, the exact location can be easily tracked from remote places.The hardware setup have been developed for this model using economically viable materials for robot body and the movement controls are achieved using Arduino Programming. The results obtained shows that this arrangement will be helpful for military people in virtually monitoring a location and take appropriate decisions.The distinct feature of this robot also makes it suitable for applications like wild animal census, rescue operations during calamities.

Keywords: Robot, rough terrain, image recording, virtual monitoring

61. References: 1. U. Saranli, M. Buehler, D.E. Koditschek. "RHex: A Simple and Highly Mobile Hexapod Robot", The International Journal of Robotics Research 20, 267-270 July 2001. 2. J. D. Weingarten, G. A. D. Lopes, M. Buehler, R. E. Groff, D. E. Koditschek, “Automated Gait Adaptation for Legged Robots.” IEEE Int. Conf. On Robotics and Automation (ICRA) Vol. 3, New Orleans, LA, April 2004, pp.2153-2158 3. U. Saranlı, A. Rizzi, and D. Koditschek, “Model-based dynamic self-righting maneuvers for a hexapedal robot,” The International Journal of Robotics Research, vol. 23, no. 9, p. 903, 2004. 4. C. Prahacs, A. Saunders, M. K. Smith, D. McMordie, and M. Buehler, “Towards legged amphibious mobile robotics,” Journal of Engineering Design and Innovation, vol. 1P, 2005. 5. N. Neville, M. Buehler, "Towards Bipedal Running of a Six Legged Robot." 12th Yale Workshop on Adaptive and Learning Systems, May 2003. 6. E. Z. Moore, D. Campbell, F. Grimminger, and M. Buehler, “Reliable stair climbing in the simple hexapod ‘RHex’,” in Proceedings of the IEEE International Conference on Robotics and Automation, vol. 3, 2002, pp. 2222–2227. 7. J. D. Weingarten, D. E. Koditschek, H. Komsuoglu, and C. Massey, “Robotics as the delivery vehicle: A contextualized, social, self paced, engineering education for life-long learners,” in Robotics Science and Systems Workshop on "Research in Robots for Education, 2007. 8. Boston Dynamics, “RHex Datasheet,” 2007 9. V.Vanitha, V.P.Sumathi, J.Cynthia and B.Illakia, “Next Generation Vehicle Diagnostic Systems”, International Journal of Pure and Applied Mathematics (IJPAM), ISSN: 1311-8080, vol. 116, no. 11, 2017, pp. 251-259. 10. N.Suganthi, R.Arun, D.Saranya and N.Vignesh, “Smart Security Surveillance Rover”, International Journal of Pure and Applied Mathematics (IJPAM), ISSN: 1311-8080, vol. 116, no. 12, 2017, pp. 67- Authors: Ramachandran, TamilarasuViswanathan, SuryaprakashShanmugasundaram Design of 15-Level inverter topology with reduced number of semiconductor switches for Stand-Alone Paper Title: Power Systems (SAPS) Abstract: Stand-Alone Power Systems (SAPS) help us to supply energy to remote or regional places where electrical infrastructure is not available. SAPS usually has a power generation sources like photovoltaic panels, micro-wind turbines, battery bank, inverter, battery charger and often a diesel generator for power back. Solar or wind has erratic outputs, so frequent changes in power cannot be tolerated by sensitive loads. Hence, Battery banks play a significant role by storing charges directly from renewable energy sources through charge controllers and then delivers inverter for residential uses. SAPS are deliberated to be expensive because of the cost associated with battery banks and renewable energy sources; concurrently reducing the cost and increasing the power quality of inverter is approachable. This paper proposes the importance of multilevel inverter (MLI) by reducing the number of semiconductor switches which inevitably decreases the 62. cost of MLI circuitry and diminishes the harmonics by increasing the level of output. The new topology of MLI inverter is designed and simulated using PSIM (9.0) tool. 271-275

Keywords: SAPS, Multilevel inverter, Topology, Total Harmonic Distortion

References: 1. R. ShalchiAlishah, D. Nazarpour, S. H. Hosseini and M. Sabahi, "Novel Topologies for Symmetric, Asymmetric, and Cascade Switched-Diode Multilevel Converter With Minimum Number of Power Electronic Components," in IEEE Transactions on Industrial Electronics, vol. 61, no. 10, pp. 5300-5310, Oct. 2014. doi: 10.1109/TIE.2013.2297300 2. M. Q. Abbas, A. Majid, J. Saleem and M. Arif, "Design and Analysis of 15-level Asymmetric Multilevel Inverter with Reduced Switch Count using Different PWM Techniques," 2017 International Conference on Frontiers of Information Technology (FIT), Islamabad, 2017, pp. 333-338.doi: 10.1109/FIT.2017.00066 3. Rajesh R &MadasamyBalasubramani&JayapalanGowrishankar. (2013) “Newly-Constructed Single Phase Multilevel Inverter for Distributed Energy Resources” Vol 5 No 2 Apr-May 2013 4. N. Vinothkumar, V. Kumar Chinnaiyan, Pradish. M andPrabhakarkarthikeyan, "Multilevel Inverter Structure usingSingle Source and Double Source Module to Reduce PowerElectronics Components", IET The Journal of Engineering, pp. 1-10, March 2017 5. J. Gowri Shankar and J. Belwin Edward “Design andImplementation of 15-Level Asymmetric Cascaded H BridgeMultilevel Inverter,” Journal of Electrical Engineering, Volume 17 Issue 2,2017 6. G. Shankar and J. Belwin Edward, "A 15-level asymmetriccascaded H bridge multilevel inverter with less number ofswitches for photo voltaic system," 2016 InternationalConference on Circuit, Power and Computing Technologies(ICCPCT), Nagercoil, 2016, pp. 1-10. 7. R. Rajesh, TamilarasuViswanathan, S. Suryaprakash “A Modified Single Phase Multilevel Inverter Topology for Distributed Energy Resources” 2017 Research J. Engineering and Tech 253-258.DOI: 10.5958/2321-581X.2017.00042.3 8. Dineshkumar, Premalatha K, Nandhini JJ “ModellingAnd Analysis of Single Stage Single Phase Boost Inverter” International Journal of Pure and Applied Mathematics, Volume 117 No. 8 2017, 89-93. DOI: 10.12732 /ijpam.v117i8.18. 9. L.Latha, K.Gayathri Devi,” A New Approach To Image Retrieval Based On Sketches using Chamfer Distance”, Journal Of Advanced Research In Dynamical And Control Systems, Vol. 9, Sp– 6 , 2017, 1959-1968. Authors: Nirmala. M, Malarvizhi.K, Thenmozhi. G Paper Title: Solar PV based Electric Vehicle Abstract: The aspect of the locomotive trade is being restructured by concerns over oil deliveries, international guidelines and fuel rates. Consequently the vehicle technology should be adaptive to these concerns. The projected paper describes solar PV powered Electric Vehicle,that solves the key downside of fuel and pollution. It is an initiative in implementing eco-friendly transportation in the world to build a green environment. In general, an electric vehicle uses a battery that is charged from an external power supply, but solar PV modules are used to charge a battery by means of absorbing radiation from the sun and converting it into electrical power (Photovoltaic Effect) by proposed method. The electrical power to batteries obtained from solar PV modules which might be associated either in series or parallel and charge controllers. To traverse the ultimate power point in the solar panel, in addition Maximum Power Point Tracker (MPPT) controller is used. The Buck-Boost converter boost up the DC voltage generated from the solar PV panel and then its output fed to a voltage source inverter. Voltage source inverter convert to the AC power from a solar DC power and ultimately tracks the Brushless DC motor which controls the vehicle application. This planned model has Buck-Boost convertor which is used to control the battery from the prime possible power generation using a solar PV system fixed on the vehicle. An effectiveness of the proposed system have been modeled and its results, verified in MATLAB/SIMULINK

Keywords: Maximum Power Point Tracker (MPPT), Electric Vehicle (EV), Permanent magnet Brushless DC motor(PMBLDC), Perturb & Observe (P&O)

References: 1. Olivier Tremblay, Louis-A. Dessaint, and Abdel-IllahDekkiche, A Generic Battery Model for the Dynamic Simulation of Hybrid Electric Vehicles, 63. 2007, pp.284- 289. 2. Nirmala.M, Baskaran. K,.Sowmiya. S, “Modified SVPWM fed nine switch inverter for motor load”, Pakistan Journal of Biotechnology, ISSN:1812- 276-280 1837,Vol. 14, special issue No. II, August 2017, pp. 55-59. 3. Mohd Tariq, SagarBhardwaj, Mohd Rashid, Effective battery charging system by solar energy using c programming and microcontroller, American Journal of Electrical Power and Energy Systems,2013;2(2):41-43. 4. Zhang, X., Chau, K.T. and Chan, C.C. (2010) Overview of Power Networks in Hybrid Electric Vehicles. Journal of Asian Electric Vehicles, 8, 1371- 1377. http://dx.doi.org/10.4130/jaev.8.1371 5. Spina, M.A., de la Vega, R.J., Rossi, S.R., et al. (2012) Source Issues on the Design of a Solar Vehicle Based on Hybrid Energy System. International Journal of Energy Engineering, 2, 15-21. http://dx.doi.org/10.5923/j.ijee.20120201.03 6. angu, R., Prayaga, K., Nadimpally, B. and Nicaise, S. (2010) Design, Development and Optimization of Highly Efficient Solar Cars: Gato Del Sol I- IV. Proceedings of 2010 IEEE Green Technologies Conference, Grapevine, 15-16 April 2010, 1-6. 7. Spina, M.A., de la Vega, R.J., Rossi, S.R., et al. (2012) Source Issues on the Design of a Solar Vehicle Based on Hybrid Energy System. International Journal of Energy Engineering, 2, 15-21. 8. Matsumoto, S. (2005) Advancement of Hybrid Vehicle Technology. Proceedings of IEEE European Conference on Power Electronics and Applications, Dresden, 11-14 September 2005, 1-7. 9. electric vehicles charging using photovoltaic: Status and technological review Abdul RaufBhattia,d, Zainal Salam a,c,n, MohdJunaidi Bin Abdul Aziz b, Kong Pui Yee b, Ratil H. Ashique a a Centre of Electrical Energy Systems (CEES), UniversitiTeknologi Malaysia (UTM), 81310 Johor Bahru. 10. Muhammad H.Rashid (2004), Power Electronics circuits, devices, and applications, Third edition, 2004, ISBN 81- 297-0229-0, pp.166-225. 11. Dakshina M. Bellur and Marian K. Kazimierczuk, DCDC Converters for Electric Vehicle Applications, 2007 IEEE, pp.286-293. 12. Husain, I. (2005) Electrical and Hybrid Vehicles Design Fundamentals. CRC Press, Boca Raton, London, New York. 13. Nirmala.M, Rameshselvakumar.S, “Nine switch converter based Hybrid Electric Vehicle”, Pakistan Journal of Biotechnology, ISSN:1812-1837,Vol. 14, special issue No. II, August 2017,pp. 59-63. 14. M. Brandl, H. Gall, M. Wenger, V. Lorentz,M. Giegerich, Batteries and Battery Management Systems for Electric Vehicles, IEEE, 978-3-9810801- 8-6/DATE12/©2012 EDAA. 15. Maynara A. Aredes, Bruno W. França, Maurícioredes. Fuzzy Adaptive P&O Control for MPPT of a Photovoltaic Module: Journal of Power and Energy Engineering, 2014, 2, 120-129 Authors: D. Sharmitha, S. Lalitha, B. Jeevitha Paper Title: A Novel Converter Topology for Nanogrid Application Abstract: In recent times, the use of standalone systems with renewable sources to meet individual energy demand is more encouraged by the government due to the following reasons: 1. Green Energy 2. Abundant 3.Fossil fuel depletion and Co2 emission. A new hybrid converter which can simultaneously provide buck, boost and inverted outputs from a single DC source for residential application is introduced in this paper. The proposed converter is a combination of two leg voltage source inverter (VSI) bridge network and a buck circuit, which replaces the switch (S) of a conventional boost converter. 64. PWM control is employed to control the MOSFET switches. The proposed converter topology is simulated in MATLAB 281-284 and the results are validated with the prototype. The reliability and number of switches employed compares favorably with alternate methods. This converter is capable of supplying AC and 2 DC loads at 110V (rms), 120V and 65V respectively from a DC source of 48V.

Keywords: Voltage Source Inverter (VSI), Pulse Width Modulation (PWM) and Boost Derived Hybrid Converter (BDHC)

References: 1. D. Boroyevich, I. Cvetkovic, D. Dong, R. Burgos, F. Wang, and F. Lee, “Future electronic power distribution systems—A contemplative view,” in Proc. 12th Int. Conf. OPTIM Elect. Electron. Equip., Brasov, Romania, May 20–22, 2010, pp. 1369–1380. 2. F. Blaabjerg, Z. Chen, and S. B. Kjaer, “Power electronics as efficient interface in dispersed power generation systems,” IEEE Trans. Power Electron., vol. 19, no. 5, pp. 1184–1194, Sep. 2004. 3. O. Ray, S. Mishra, A. Joshi, V. Pradeep, and A. Tiwari, “Implementation and control of a bidirectional high-gain transformer-less standalone inverter,” in Proc. IEEE Energy Convers. Congr.Expo, Raleigh, NC, USA, Sep. 2012, pp. 3233–3240. 4. F. Z. Peng, “Z-source inverter,” IEEE Trans. Ind. Appl., vol. 39, no. 2,pp. 504–510, Mar./Apr. 2003. 5. C. J. Gajanayake, F. L. Luo, H. B. Gooi, P. L. So, and L. K. Siow,“Extended-boost Z-source inverters,” IEEE Trans. Power Electron.,vol. 25, no. 10, pp. 2642–2652, Oct. 2010. 6. R. Tymerski and V. Vorperian, “Generation, classification and analysis of switched-mode dc-to-dc converters by the use of switched-inductor-cells,” in Proc. Int. Telecommun. Energy Conf., Oct. 1986, pp. 181–195. 7. Sharmitha.D.Maithili.P,” Three Port Dc-Dc Converter For Standalone Photovoltaic System” in International Journal of Pure and Applied Mathematics, vol. No. 117, pp. 67–71, 2017. 8. R. Adda, S. Mishra, and A. Joshi, “A PWM control strategy for switched boost inverter,” in Proc. IEEE ECCE, Phoenix, AZ, USA, Sep. 2011, pp. 991–996.F. Z. Peng, M. Shen, and Z. Qian, “Maximum boost control of the Z-source inverter,” IEEE Trans. Power Electron., vol. 20, no. 4, pp. 833– 838, Jul. 2005. 9. M. Shen, J. Wang, A. Joseph, F. Z. Peng, L. M. Tolbert, and D. J. Adams, “Constant boost control of the Z-source inverter to minimize current ripple and voltage stress,” IEEE Trans. Ind. Appl., vol. 42, no. 3, pp. 770–778, May/Jun. 2006. 10. R. Adda, O. Ray, S. Mishra, and A. Joshi, “Synchronous-reference-frame based control of switched boost inverter for standalone dc nanogrid applications,” IEEE Trans. Power Electron., vol. 28, no. 3, pp. 1219–1233, Mar. 2013. 11. P.Thirumoorthi, N.Yadaiah, “Design of current source hybrid power filter for harmonic current compensation”, ELSEVIER Journal, Simulation Modelling Practice and Theory, Vol.52, 2015, pp. 78–91. 12. Press Information Bureau Government of India, Ministry of New and Renewable Energy, 27-December-2017 11:28 IST Year End Review 2017 – MNRE. 13. L.Latha, K.GayathriDevi,”A New Approach To Image Retrieval Based On Sketchesusing Chamfer Distance”, Journal OfAdvanced Research In Dynamical And Control Systems, Vol. 9. Sp– 6 / 2017, Pp.1959-1968. 14. K.PradeepMohankumar,M.Saravanan, Andm.Aramuthan,” Hybrid Network Intrusion Detection System Based On Gann Models”, International Journal Of Pure And Applied Mathematics, Vol.116,No. 11,2017, pp.31-39 15. k.TharaniPriya, v.Karthikeyan,” Detect The Incredible Action In Eventful Environments Using Swarm Interlligence”, International Journal Of Innovations In Scientific And Engineering Research, Vol.4, Issue.1, 2017, Pp.36-39. Authors: D. Sharmitha, J.J.Nandhini Paper Title: Smart UG Cable Fault Detector Abstract: Nowadays underground cables are used over than overhead lines in urban areas. Locating the fault in the underground (UG) cable is tedious and there is a probability of damaging the insulation while digging the cable. The proposed system offers easy and smart fault detection by automating it using a ARDUINO controller. The basic concept of Ohm’s law is applied at the feeder end though a series resistor. In case of short circuit of LL or LLG or LG the current flowing in the faulty sections will vary depending on the length of the line. This paper aims at estimating the location of fault distance and intimating the personal through SMS (short message service). The data are send to a dedicated website together with on board LCD display by using a GSM module and Internet of Things (IoT).

Keywords: Electrical cable, Resistance, GSM, Wi-Fi modem, IoT (Internet of Things).

References: 65. 1. Aqib Al Husan Ansari, AtulBarhate, ‘Arduino based Underground Cable Fault Detection’, International Journal for Research in Engineering Application & Management (IJREAM) ISSN: 2454-9150 Vol-03, Issue 04, May 2017. 285-288 2. Abhas, AbhinavShukla and RiwiKomal(2016)’IoT based Underground cable fault detection and monitoring’, IJCTA, 9(22), 2016, pp. 145-150. 3. Pooja P.S and Lekshmi M(2015) Fault Detection Technique to pinpoint Incipient Fault for Underground Cables‘-International Journal of Engineering Research and General Science Volume 3, Issue 3, May-June, 2015. 4. DhivyaDharani. A, Sowmya. T ‘Development of a Prototype Underground Cable Fault Detector’, 2347-2820, Volume -2, Issue-7, 2014. 5. A.Ngaopitakkul, C.Pothisarn, M.Leelajindakrairerk, ‘Study of Characteristics for Simultaneous Faults in Distribution Underground Cable using DWT’, 2011 IEEE. 6. G.H.Shirkoohi,K.Hasan,’Enhanced TDR technique for fault detection in electrical wires and cables’ ,103 Borough Road London SE10AA1,united kingdom,2nd International symposium NDT in aerospace (2010). 7. AbhishekPandey and Nicolas H. Younan(2010) ‘Underground cable fault detection and identification via Fourier analysis’ International Conference on High Voltage Engineering and Application, 11-14 Oct. 2010. 8. H. Shateri, S. Jamali, ‘Impedance Based Fault Location Method For Phase To Phase And Three Phase Faults In Transmission Systems’, IEEE 2010. 9. .AbhishekPandey, Nicolas H. Younan, ‘Underground Cable Fault Detection and Identification via Fourier Analysis’, 2010 IEEE. 10. Yuan Liao, Ning Kang, ‘Fault-Location Algorithms Without Utilizing Line Parameters Based on the Distributed Parameter Line Model’, IEEE. 11. S. Navaneethan, J. J. Soraghan, W. H. Siew, F. McPherson, P. F. Gale ,’Automatic Fault Location for Underground Low Voltage Distribution Networks’ IEEE Transactions on Power Delivery, Vol. 16, no. 2, April 2001. Authors: S. Arunkumar, N. MohanaSundaram Paper Title: Smart Poultry Farming Abstract: India’s broiler production is estimated to increase by seven percentage for the calendar year 2017, owing to increasing demand from middle class. Also, the countryis fifth largest egg producer in the world. This highlights the need for effective poultry industry, which can produce quality breeds to meet the industrial challenges. To increase the quality and reliability of this field, smart and economical way of automizing maximum human operations is required along with creation of database for future reference. In the poultry setup, the common challenges faced are emission of ammonia gas due to decomposition of uric acid of chickens. Also, maintenance of optimal temperature is necessary for the egg 66. production. This paper provides a smart solution to automatically keep the ammonia gas content and temperature level of 289-291 the area in control. Additionally, providing food to the breeds can be done on a timely basis without manual intervention. These can be achieved using cloud computing technique and with an exclusive web and app support, data can be logged. Hardware has been designed for this idea and the results obtained found to be satisfactory.

Keywords: Smart Poultry Farm, GSM, Wi-Fi Module, Monitoring.

References: 1. SiwakornJindarat, PongpisittWuttidittachotti. “Smart Farm Monitoring Using Raspberry Pi and Arduino” IEEE 2015 International Conference on Computer, Communication, and Control Technology (I4CT 2015), April 21 - 23 in Ismperial Kuching Hotel, Kuching, Sarawak, Malaysia, 2015. 2. K. SravanthGoud and Abraham Sudharson, “Internet based Smart Poultry Farm”, Indian Journal of Science and Technology, vol. 19, IPL101, August 2015. 3. Islam Ms, Islam A, Islam Mz, Basher E.,“Stability Analysis of Standalone Biogas Power Plants In Poultry Farms of Bangladesh”,IEEE Transaction on Power System, Aug 2014. 4. Muhammad Ammad-uddin, Muhammad Ayaz, “El-Hadi-Aggoune, Muhammad Sajjad. Wireless Sensor Network: A Complete Solution for Poultry Farming” IEEE 2nd International Symposium on Telecommunication Technologies (ISTT), Langkawi, Malaysia (2014). 5. Fangwu Dong, Naiqing Zhang, “Wireless Sensor Networks Applied On Environmental Monitoring In Fowl Farm” Hal Id: Hal-01055409 Https://Hal.Inria.Fr/Hal-01055409 Submitted on 12 Aug 2014. 6. N. MohanaSundaram, S. Arunkumar, “An Approach of IOT Based Air Pollution Monitoring and Control System”, International Journal of Electronics, Electrical and Computational System (IJEECS), ISSN 2348-117X, vol. 6, Issue 7, July 2017 7. R. S. Sandhya Devi, V. R. Vijay Kumar, S. Sridevi, “Application Development for Reservation Based Parking Slot Allotment and Management System using Android”, 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), March 2017. 8. U. Rajkanna, M. Mathan Kumar, S. Suryaprakash, P. Thirumoorthi, “Development of Smart Car Security System using Multi Sensors”, International Journal of Pure and Applied Mathematics, vol. 117, Issue. 22, pp.19-23, 2017. 9. V. R. Balaji, N. Prakash, “IoT Based Smart Security and Monitoring Devices for Agriculture”, International Journal of Pure and Applied Mathematics, vol. 116, Issue. 11, 2017, pp. 121-129. 10. V.Senthilkumar, B.Vinoth Kumar, P.Saranya,” Normalized Page count And Text based Metric For Computing Semantic Similarity Between webdocuments” Journal of Advanced Research In Dynamical And Control Systems, Vol. 9. Sp– 6 / 2017, Pp.1865-187 Authors: Nirmala. M, Kowsalya. T, Sukirtha. S Paper Title: Review of Transformation of Mobile Wireless for Next Generation Communication Networks Abstract: The wireless mobile communication network connects the entire world. People need it to be omnipotent. This network has developed through a series of evolution. It all began with a simple voice transmission in the early years using the analog systems for first generation like Advanced Mobile Phone Service -AMPS, Nordic Mobile Telephones -NMT and Total Access Communication System -TACS and then referred as 1G. The technology improvisation offered birth to the next generation with the ability to send SMS using digital systems for example,GSM - Global System for Mobile Communication, D-AMPS - Digital-Advanced Mobile Phone Service, 1S-95, GPRS- General Packet Radio Services (2.5G) and EDGE-Enhanced Data GSM Environment 2G.TheWCDMA-Wideband Code Division Multiple Access , CDMA- Code-Division Multiple Accessand TD-SCDMA-Time Division- Synchronous CDMA emerged into the next generation 3G with enhanced data rates. The Long Term Evolution (LTE) of 3G resulted in 4G with a theoretical data rate of 1Gbps. The thirst for rather new is taking the technology towards the next level with a data rate estimation of 10,000Mbps, which is to be evolved as ‘The FIFTH generation-5G’. 5G should be a more smart technology that interrelates the entire world. This article provides a high level review on evolution of this new technology and next-generation mobile broadband with 67. worldwide interoperability. 292-295 Keywords: Mobile communication, GSM, GPRS, EDGE, WCDMA, TD-SCDMA, CDMA, LTE, 1G, 2G, 3G, 4G, 5G.

References: 1. Amitkumar, Dr. Yaunfei Liu, Dr.JyotsnaSengupta and Divya. 2010 “Evolution of mobile wireless communication networks 1G to 4G.” 2. SuneelkumarTarunAgarwal and Prashant Singh. International journal of future generation communication and networking.,2014 “A future communication technology – 5G.” 3. Sucheta and Dr. K.P. Yadav 2008, ‘International journal of advances in Engineering research. “A comparative study of 1G, 2G, 3G and 4G.” 4. JiveshGovil, JivikaGovil. “5G : Functionalities development and analysis of Mobile wireless grid”, IEEE wireless communications, April 2008. 5. M. Hata. “Fourth Generation Mobile Communication Systems beyond IMT-2000 Communications,” Proc 5th Asia Pacific Conf. 6. M. Bhalla , A. Bhalla, “Generations of mobile wireless technology : A Survey” International journal of computer applications, Volume 5-No.4, August 2010. 7. T. Janevski, “5G mobile phone concept” – CCNC Conference in Las Vegas, 2009. 8. Sapna Singh, Pratapsingh. “Key concepts and network architecture for 5G mobile technology” International Journal of Scientific Research Engineering and Technology Volume 1 Issue 5 pp 165 – 170 August 2012. 9. Chen, Yue . “Soft handover issues in radio resource management for 3G WCDMA Networks.” Queen Mary University of London, 2003. 10. Mishra, Ajay K. “Fundamentals of cellular Network Planning and Optimization, 2G/2.5G/3G.... Evolution of 4G” , John Wiley and Sons, 2004. Authors: Vinothkumar N, Subhash V.K, Viswanathan T, Surya Prakash S Paper Title: Intelligent Street Light Controller with Security System Abstract: This paper aims at efficient energy saving method for street lights and also to provide the security for human during emergency situations. The street lights are automated with brightness control based on the illumination intensity, tracking of vehicle or human movement. Thus, the street light energy saving can be achieved about 30-50% in comparison with existing system. Also, the theft indicator for solar panel, batteries and security camera is provided with finger scanners based security systems. It supports to call emergency services such as ambulance, fire and police during the emergency situations. The fast alertness can be achieved due to the Global Positioning System (GPS) based security system. Further, the security system can be linked with AADHAAR which prevents the misuse by any person subject to government approval. Hence the overall security for the streetlights as well as the humans can be achieved intelligently. 68. Keywords: Energy conservation, emergency alert, street- light, PWM, fault detection, security 296-299

References: 1. W. Yue, S. Changhong, Z. Xianghong, and Y. Wei, "Design of new intelligent street light control system," in Proc. IEEE International Conference on Control Automation, 2010. 2. ChaiyanJettanasen and SuntitiYoomak, "Comparative study of lighting quality and power quality for LED and HPS luminaires in a roadway lighting system," in Proc. IEEE Region 10, Conference, pp. 2173-2178,2010 3. ZeeshanKaleem and Tae Min Yoon, “Design and Fabrication of Automatic Street Light Control System”, Engineering e-Transaction, Vol. 5, No. 1,pp 27-34, 2010 4. D N B Chakrapani, V. Naveen Kumar, Y Padma Sai, K ArchanaBhange, "Street light data acquisition using VLSI based object recognition", Computational Intelligence and Computing Research (ICCIC) 2016 IEEE International Conference on, pp. 1-4, 2016. 5. D. A. Devi and A. Kumar, “Design and Implementation of CPLD based Solar Power Saving System for Street Lights and Automatic Traffic Controller”, International Journal ofScientific and Research Publications, Vol. 2, no;11, Nov 2012. 6. C. Chun, C. Hung, L. Kun, C. Kuan, and Y. Chun, “Energy Efficient Street Light Supervising and Control System,” in Proc. FIT, 2014. 7. Elejoste et al., "An Easy to Deploy Street Light Control System Based on Wireless Communication and LED Technology," Sensors (Basel), vol. 13, no. 5, pp. 6492–6523, May 2013. 8. L. Chushan, W. Jiande, and H. Xiangning, "Realization of a general LED lighting system based on a novel Power Line Communication technology," in Proc. IEEE Applied Power Electronics Conference and Exposition, pp. 2300-2304,2010. 9. C. Ozcelebi, and J. Lukkien, "Exploring user-centered intelligent road lighting design: a road map and future research directions," IEEE Trans. Consum. Electron, vol. 57, pp. 788-793, May 2011. 10. Siddiqui, A. W. Ahmad, H. K. Yang and C. Lee, “ZigBee Based Energy Efficient Outdoor Lighting Control System,” in Proc. ICACT, pp. 916- 919,2012 11. Hengyu Wu; Minli Tang; Guo Huang, “Design of multifunctional street light control system based on AT89S52 single-chip microcomputer”, IEEE 2nd International Conferences on Industrial Mechatronics and Automation (ICIMA), 2010. 12. Reza Mohamaddoust, AbolfazlToroghiHaghighat, MohamadJavadMotahari Sharif and NiccoloCapanni, “A Novel Design of an Automatic Lighting Control System for a Wireless Sensor Network with Increased Sensor Lifetime and Reduced Sensor Numbers”, Sensors, vol.11, no.9, pp. 8933- 89,2011. 13. Shobitjain, N. Vinothkumar, V.KumarChinnaiyan, Pradish.M and V. Arunachalam, “Survey on Smart Grid Technologies, Smart Metering, IoT and EMS” in second IEEE student international conference for Electrical, Electronics and Computer Science (SCEECS-2014) MNIT, Bhopal. 14. P. Thirumoorthi, Jyothis Francis and N. Yadaiah, “Power Conditioning In Battery Chargers Using Shunt Active Power Filter through Neural Network”, International Journal of Advances in Engineering & Technology, March 2012, pp 306-314. Authors: T.Shanthi, S.U.Prabha Paper Title: Neural Network Based MPPT Controller for Solar PV System Abstract: Design of Maximum Power Point Tracking Controller with the application of Neural Network (NN) is discussed in this paper. The speed of the single phase induction motor is sensed by the controller and the controller is being fed from the solar panel. The necessity of Maximum power point tracking (MPPT) algorithm is increased in all photovoltaic (PV) system in order to achieve more efficiency of the system. The Incremental Conductance algorithm is used to extract maximum power from the solar panel which intern supplies an induction motor of 1HP. The voltage available from the solar panel is boosted using the dc – dc SEPIC (Single Ended Primary Inductor Converter). The main advantage of this converter is having non-inverted output. SEPIC converter acts as an interface between PV array and the motor. The entire proposed system is designed and modeled with MATLAB/Simulinksoftware.

Keywords: MPPT, Photovoltaic, SEPIC, Incremental conductance, Neural network controller.

References: 1. Gwo-Bin Wu and Chin-Sien Moo, “Maximum Power Point Tracking with Ripple Current Orientation for Photovoltaic Applications”, IEEE Journal of Emerging and Selected Topics in Power Electronics, December 2014, Vol. 2, No. 4. 2. Gomathi.B, and Sivakami.P, “An Incremental Conductance Algorithm based solar maximum power point tracking system”, International Journal of Electrical Engineering. ISSN 0974-2158 Volume 9, Number 1 (2016), pp. 15-24. 3. Mr.ParthaSarathiMaji, Mr. S. Dikshit, Prof. S. Mohapatra, “Modelling and Simulation of Photovoltaic Model Using Incremental Conductance Algorithm” International Journal of Engineering and Management Research, Volume-4, Issue-2, April-2014. 4. T. Shanthi, and N. AmmasaiGounden, “Power electronic interface for grid-connected PV array using boost converter and line-commutated inverter with MPPT”, International Conference on Intelligent and Advance systems, pages: 882-886, DOI: 10.1109/ICIAS.2007.4658513. 5. James Dunia, Bakari.M and M. Mwinyiwiwa, “Performance Comparison between ĆUK and SEPIC Converters for Maximum Power Point Tracking Using Incremental Conductance Technique in Solar Power Applications”, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Vol: 7, No: 12, 2013. 6. Sangeetha S, and Jitha joseph “Design and Implementation of Sepic Converter Based PV System Using Modified Incremental Conductance Algorithm”, International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) - 978-1-4673-9939-5/16/$31.00 ©2016 IEEE. 7. F.Lftisi, G.H.George, A.Aktaibi, C.B.Butt, and M.A.Rahman, “Artifical neural network based speed controller for induction motors”, 978-1-5090- 69. 3474-1/16/$31.00©2016 IEEE. 8. T.Shanthi and A.S.Vanmukhil,”Photovoltaic Generation System with MPPT Control Using ANFIS,” International Electrical Engineering Journal 300-304 (IEEJ) Vol. 4 (2013) No. 3, pp. 1105-1115. 9. T Shanthi and A S Vanmukhil, “Fuzzy Logic based MPPT Control of Hybrid Power Generation System”, International Journal of Computer Applications 86(1):37-44, January 2014. 10. Chetan P. Ugale, R. B. Dhumale, and V. V. Dixit3, “DC-DC Converter Using Fuzzy Logic Controller”, International Research Journal of Engineering and Technology (IRJET), Volume: 02 Issue: 04 | July-2015. 11. Whei-Min Lin, Chih-Ming Hong, and Chiung-Hsing Chen, “Neural-Network-Based MPPT Control of a Stand-Alone HybridPower Generation System”, IEEE Transactions on Power Electronics, Vol. 26, No.12, December-2011. 12. Ahmad Al Nabulsi and RachedDhaouadi, “Efficiency Optimization of a DSP-Based Standalone PV System Using Fuzzy Logic and Dual-MPPT Control” IEEE Transactions on Industrial Informatics, Vol. 8, No. 3, August 2012. 13. A.Goedtel, I.N.Silva, P.J.A.Serni, and C.F.Nascimento, “Speed Estimation for Induction Motor using Neural Networks Method”, IEEE Latin American Transaction, Vol. 11, No. 2, Mar 2013. 14. BasavarajAmarapur, “Neural Network Based Speed Control of Induction Motor”, Nirma University International Conference on Engineering (NUICONE), 2013. 15. Ankit Gupta, Pawan Kumar, Rupendra Kumar Pachauri, Yogesh K. Chauhan, “Performance Analysis of Neural Network and Fuzzy Logic Based MPPT Techniques for Solar PV Systems”, 978-1-4799-6042-2/14/$31.00 ©2014 IEEE. 16. Ahmad El Khateb, NasrudinAbd Rahim, JeyrajSelvaraj, and Mohammad NasirUddin, “Fuzzy-Logic-Controller-Based SEPIC Converter for Maximum Power Point Tracking”, IEEE Transactions on Industry Applications, VOL. 50, NO. 4, JULY/AUGUST 2014. 17. William Christopher and Dr.R.Ramesh, “Comparative Study of P&O and INC MPPT Algorithms” American Journal of Engineering Research (AJER), Volume-02, Issue-12, pp-402-408, 2013. 18. S. Karthika, K. Velayutham, P. Rathika, D. Devaraj, “Fuzzy Logic Based Maximum Power Point Tracking Designed for 10kW Solar Photovoltaic System with Different Membership Functions”, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Vol:8, No:6, 2014. 19. Turki Y. Abdalla, HaroutionAntranikHairik, Adel M. Dakhil, “Direct Torque Control System for a Three Phase Induction Motor with Fuzzy Logic Based Speed Controller”, 1st International Conference on Energy, Power and Control, 2010. 20. Biranchi Narayan Kar, K.B. Mohanty, Madhu Singh, “Indirect Vector Control of Induction Motor Using Fuzzy Logic Controller”, IEEE 2011. 21. Seong-Hwan Kim, Tae-Sik Park, Ji-Yoon Yoo, and Gwi-Tae Park,” Speed-Sensor less Vector Control of an Induction Motor Using Neural Network Speed Estimation”, IEEE Transactions on Industrial Electronics, Vol. 48, No. 3, June 2001. 22. Astitva Kumar, PriyankaChaudhary and M. Rizwan, “Development of Fuzzy Logic based MPPT Controller for PV System at varying Meteorological parameters” 978-1-4673-6540-6/15/$31.00 ©20 15 IEEE. 23. Anusuya.V and Vishnupraba.G, “MPPT Using Fuzzy Logic Controller for SEPIC Converter And Three Phase Inverter”, International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 4, April 2015. 24. Pedro Ponce, Arturo Molina and Arturo Tellez, “Neural network and Fuzzy logic in a Speed close loop for DTC Induction motors”, 978-1-4799- 4683-9/14/$31.00©2014IEEE. 25. T.Shanthi and J.MohanaPriya, “Standalone Hybrid Power Generation Using Photovoltaic/Wind/Fuel Cell”, International Journal of Applied Engineering Research Volume 10, Number 20 (2015) Special Issues pp.18612-18616. Authors: S. Naveen kumar, C. Sasikumar, R. Prakasam Paper Title: Smart Bike Abstract: In present scenario the uses of mobile phones are increasing, the people attend the phone even while driving without their knowledge, this cause distraction and leads to accident. This project detects and avoids the usage of mobile phones automatically while riding two wheelers and in case of any accident occurs GSM module fixed in the bike communicates to the concerned mobile number which is stored. The components used are Global System for Mobile Communication (GSM) Module, Microcontroller (Atmega162V), Liquid Crystal Display (LCD), Global Positioning System (GPS) and Vibration Sensor. The software used is “AVR studio”. When the key is inserted the bike starts only after verification of the user through message reply. If the reply is not received from the owner the bike is not allowed to start without password. While riding, if any call comes to the rider’s mobile the call is automatically dejected by the Mobile snifferand the reply message is sent to the caller about the riding information by the GSM fixed in the bike. The LCD display is used to indicate the incoming call list. The vibration sensor fixed in the bike is used to sense the vibration if any accident occurs based on defined conditions. The GSM module sends a message with the location indicated by the GPS of accident spot to the specified mobile number.By rejecting incoming calls this system prevents from accidents while riding bike. The bike is secured by the password. In case any accident occurs, this system reduces the manual process and avoids delay. The location tracking of accident spot is very fast. 70. Keywords: GSM, GPS, Smart Monitoring; Embedded Model 305-308

References: 1. K. Premalatha, P. Thirumoorthi, Fuzzy Logic Based Direct Torque Control of Three Phase Induction Motor, International Journal of Pure and Applied Mathematics (IJPAM), Volume.116,No. 11, 2017, pp.171-179. 2. Mathankumar M., Suryaprakash S., Thirumoorthi P., Rajkanna U, Development of smart car security system using multi sensors, International Journal of Pure and Applied Mathematics (IJPAM), Volume. 117, 22, 2017, pp. 19-23. 3. Mathankumar M., Viswanathan T., Dineshkumar T, Implementation of Data Gathering System Using Mobile Relay Node in Wireless Sensor Network, International Journal of Pure and Applied Mathematics (IJPAM), Volume.116, No. 11, 2017, pp. 111-119. 4. K.Dineshkumar, G. Nirmal, S.Prakash, “Bike security system using fingerprint GSM&GPS” International Journal of Innovative Research in Computer and Communication Engineering, 2015. 5. C.Prabha, R.Sunitha, “automatic vehicle accident detection and messaging system using GSM and GPS modem” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2014 6. Prof. Abhay, P. Bagade Assistant Professor, “cell phone usage while driving avoidance with GSM-RF based accident emergency alert system”, International Journal of Advanced Research in Computer and Communication Engineering, 2013. 7. Rehna, KehkeshanJalall S, Hasrsha,Vinay, “cell phone detection and jamming system for gsm”, International Journal of Advanced Trends in Computer Science and Engineering,2014. 8. Prashanth, KishenPadiyar,Naveen Kumar S, K Santhosh Kumar, “road accident avoiding system using drunken sensing technique”, International Journal of Engineering Research & Technology (IJERT),2014. Authors: V.Manimekalai, K.Srinivasan, K.Umashankar Paper Title: Real time control of conical tank system using Adaptive fuzzy PID using Lab VIEW Abstract: Implementation of control algorithms for a highly non linear system is often complicated due to variations in process dynamics. In this paper a control scheme based on Adaptive Fuzzy PID is implemented for a non linear conical tank system and monitored in real time using Lab VIEW. It is observed that the Adaptive fuzzy PID controller gives better performance in real time compared to conventional controllers like PID, FLC. A comparison is made between fuzzy logic controller and adaptive fuzzy PID controller.

Keywords: Conical tank; controller; FLC; PID; Lab VIEW

References: 1. C. Dinesh, V. V. Manikanta, H. S. Rohini and K. R. Prabhu, “Real Time Level Control of Conical Tank and Comparison of Fuzzy and Classical Pid Controller, ” Indian Journal of Science and Technology, vol. 8 (S2), pp.40–44, January2015. 2. A.Varun, M.Meng and O.Una-May, “A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller,” First NASA/ESA conference on Adaptive Hardware and Systems (AHS'06),pp.12-16,2006 3. A.R.Tavakolpour-Saleh, H.Jokar, “Adaptive fuzzy control of a non linear tank process,” International Journal of Mechanical, Aerospace, Industrial, 71. Mechatronic and Manufacturing Engineering, vol.10, No.2, 2016 4. AhemedI.Mohamed, Alexandria, Egypt, “ Simplified Fuzzy Logic Controller Design for Higher Order Processes, ” International Journal of Science 309-312 and Research (IJSR), India Online ISSN:2319-7064, vol.2 Issue 6, June2013. 5. A.Ganesh Ram &S.Abraham Lincoln, “ A Model Reference-Based Fuzzy Adaptive PI Controller for Non-linear level Process System,” IJRRAS 14(2), vol.14,Issue 2, Feb 2013. 6. S.Vadivazhagi and N.Jaya, “ Control of Two tank Conical Interacting Level System using Relay Auto Tuning,” Indian Journal of Science And Technology, Vol 8(12), June2015. 7. S.Pooja&Dr.S.Vijayachitra“ Real Time Performance Analysis FaultDetectionandControlinConicaltanksystem,”InternationalJournalof Research in Electronics,Vol. 4, Issue 02,2017. 8. SoumyaRanjan, MahapatroBidyadharSubudhi and SudhojitGhosh, “Adaptive Fuzzy PI Controller Design for Coupled Tank System: An Experimental Validation, ” Third International Conference on Advances in Control and Optimisation of Dynamical System, March 13-15,2014. 9. T.Pushpaveni, S.SrinivasaluRaju, N. Archana, M.Chandana, “Modelling and Controlling of Conical Tank System using Adaptive Controllers and performance comparison with conventional PID,” International Journal of Science and Engineering Research, vol.4, Issue 5, May2013. 10. Raja and Ramakrishnan,”Public key based Third party auditing for privacy preservation in CloudEnvironment”,International Journal Of Pure And Applied Mathematics,Volume 116 No. 11 2017, 1-9. 11. Latha, k.Gayathri Devi,” A New Approach To Image Retrieval Based OnSketches using Chamfer Distance”, Journal Of Advanced Research In Dynamical And Control Systems, Vol9 no 6, 2017,pp1959-1968. 12. Alla Mohamed and D.Dalla Mahmoud, “Control of Conical Tank Level Using in Process by Fuzzy Logic Controller,” International Journal of Engineering, Applied and Management Sciences Paradigms, vol.42, Issues 01, December2016. Authors: TamilarasuViswanathan, M Mathankumar Paper Title: Automatic Tollbooth Credit System using Vehicle detection and Number Identification Abstract: A computer vision based toll booth credit system is proposed using vehicle (object tracking) detection and Number (text recognition) identification. Set of vehicles database loadedin a predetermine network and support vector machine (SVM) classifier identify the vehicle. Name plate details recognize using optical character recognition (OCR) and corresponding details produce inside the toking scheme with minimal ”imbinarize” global method. Additionally Histogram of Oriented Gradient (HOG) for partitioning the data with extracted feature. The proposed scheme shows the excellent automatic credit system than any-other existing scheme.

Keywords: Object tracking, tollbooth, OCR, SVM and HO.

References: 1. X. C. Yin, W. Y. Pei, J. Zhang and H.W.Hao,”Multi-Orientation Scene Text Detection with Adaptive Clustering,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 9, pp. 1930- 1937, Sept. 12015. 72. 2. J X. C. Yin, X. Yin, K. Huang and H. W. Hao, ”Robust Text Detectionin Natural Scene Images,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 5, pp. 970-983, May2014. 313-316 3. Q. Ye and D. Doermann, ”Text Detection and Recognition in Imagery:ASurvey,”inIEEETransactionsonPatternAnalysisand Machine Intelligence, vol. 37, no. 7, pp. 1480-1500, July 12015. 4. Jaderberg, M., Simonyan, K., Vedaldi,A., andZisserman, A. (2016). Reading text in the wild with convolutional neural networks. Interna- tional Journal of Computer Vision, 116(1),1-20. 5. Baskaran, KR, V. Vijilesh, and R. Nedunchezhian”Combiningintelli- gent web cach-ing with web pre-fetching techniques to predict tourist places.” International Journal of Pure and Applied Mathematics, Volume 116 No. 12, 2017,97-105, 6. Gonzalez, Alvaro, et al. ”Text location in complex images.” Pattern Recognition(ICPR),201221stInternationalConferenceon.IEEE,2012. 7. Li, Yao, and Huchuan Lu. ”Scene text detection via stroke width.” Pattern Recognition (ICPR), 2012 21st International Conference on. IEEE,2012. 8. Chen, Huizhong, et al. ”Robust Text Detection in Natural Images with Edge-Enhanced Maximally Stable Extremal Regions.” ImageProcessing (ICIP), 2011 18th IEEE International Conference on. IEEE,2011. 9. Paramasivam, K., K. Gunavathi, and A. Arulmozhivarman. ”Functional distance based test vector reordering for low power testing of VLSI circuits”,1126-1137,2017. 10. Latha, k.Gayathri Devi,,” A New Approach To Image Retrieval Based On Sketches using Chamfer Distance”, Journal Of Advanced Research In Dynamical And Control Systems, Vol 9 no6,2017,1959-1968. 11. H. I. Koo, ”Text-Line Detection in CameraCaptured Document Images Using the State Estimation of Connected Components,” in IEEE Trans- actions on Image Processing, vol. 25, no. 11, pp. 5358-5368, N Authors: I.Jeya Daisy, B.Vinoth Kumar Paper Title: Analysis of biomarkers in sweat and its comparative study with Blood Abstract: In the current medical field, the many methods used to analyze the bio fluids for biomarkers are blood, urine, saliva and sweat. Blood testing by sampling is to be done frequently for analysis from patients rendering them prone to higher chances of infection and storage for the procedure also proves difficult. Investigations into biomarkers contained in Sweat have so far been limited. Compare to blood, most of the drugs are accumulated in sweat. It is noteworthy that certain biomarkers like nitrogenous compounds, metal and non-metal ions, metabolites and xenobiotics are found in sweat in such the amount approximately equal to other biofluids. In this paper, the sweat collection and its analysis for determining biomarkers are proposed. Additionally, comparison of biomarkers in blood and sweat had done and tried to prove that sweat is noninvasive, cost effective and accurate analysis compared to blood.

Keywords: biomarker; spectrophotometer,atomic emission spectrophotometer,heavy metals

References: 1. G.D.Clayton and F.E. Clayton (eds), Pathy’s Industrial Hygiene and Toxicology, 3rd edn, Wiley, New York, 1981, p. 1687. 2. R.A. Goyer and T.W. Clarkson, in: C.D. Klaassen (ed.), Casarett and Doull’s Toxicology: The Basic Science of Poisons, 6th edn, MaC-Millan Publishing Company, New York, 2001, p. 8 3. K.Sato,W.H.Kang,K.Saga,andK.T.Sato,“Biologyofsweat glands and their disorders. I. Normal sweat gland function,”Journal of the American Academy of Dermatology ,vol.20,no.4, pp. 537–563, 1989. 4. M.M.Raiszadeh,M.M.Ross,P.S.Russoetal.,“Pro-teomic analysis of eccrine sweat: implications for the discoveryof schizophrenia biomarkerproteins,” 73. Journal of Proteome Research, vol. 11, no. 4, pp. 2127–2139, 2012. 5. P. Kintz, A. Tracqui, P. Mangin, and Y. Edel, “Sweat testing in opioid users with a sweat patch,”Journal of Analytical 317-321 Toxicology,vol.20,no.6,pp.393–397,1996. 6. E. Gallardo and J. A. Queiroz, “The role of alternative specimens in toxicological analysis,” Biomedical Chromatography ,vol.22, no. 8, pp. 795– 821, 2008 7. Brunet,A.J.Barnes,K.B.Scheidweiler,P.Mura,andM.A.Huestis, “Development and validation of a solid-phase extrac-tion gas chromatography-mass spectrometry method for the simultaneous quantification of methadone, heroin, cocaine andmetabolites in sweat,” Analytical and Bioanalytical Chemistry vol. 392, no. 1-2, pp. 115–127, 2008. 8. Huestis,E.J.Cone,C.J.Wong,A.Umbricht,andK.L.Preston, “Monitoring opiate use in substance abuse treatment patients with sweat and urine drug testing,” Journal of Analytical Toxicology ,vol.24,no.7,pp.509–521,2000. 9. Liappis N, Kelderbacher SD, Kesseler K, Bantzer P, “Quantitative Study of Free Amino Acids In Human Eccrine Sweat Excreted from Forearms of Healthy Trained And Untrained Men During Exercise,” Journal of ApplPhysiolOccupPhysiol 1979;42(4):227-34 10. Lianhui Chen , Shaopu Liu , HongqunLuo and Xiaoli Hu, “Spectrophotometric method for the determination of sodium hyaluronate with basic bisphenylnaphthylmethane dyes”, Journal of Chemical and Pharmaceutical Research, 2014, 6(6):1695-1698 11. Humaira Khan , M. Jamaluddin Ahmed , and M. IqbalBhanger, “A simple spectrophotometric method for the determination of trace level lead in biological samples in the presence of aqueous micellarsolutions”,Research article, Spectroscopy 20 (2006) 285–297 12. Saimajadoon, Sabihakarim, muhammadroufakram, abidakalsoomkhan,muhammadabidzia,abdulrauf siddiqi,6 and ghulammurtaza, “Recent Developments in Sweat Analysis and Its Applications”, International Journal of Analytical Chemistry, 2015, Article ID 164974, 7 pages 13. K. Wilke, A. Martin, L. Terstegen, and S. S. Biel, “A short history of sweat gland biology,” International Journal of Cosmetic Science, vol. 29, no. 3, pp. 169–179, 2007. 14. F. O. Omokhodion and G. W. Crockford, “Sweat lead levels in perons with high blood lead levels: experimental elevation of blood lead by Ingestion of lead chloride,” Science of the Total Environment, vol. 108, no. 3, pp. 235–242, 1991. 15. A. K. M. Yousuf, M. Misbahuddin, and M. S. Rahman, “Secretion of arsenic, cholesterol, vitamin E, and zinc from the site of arsenical melanosis and leucomelanosis in skin,” Clinical Toxicology, vol. 49, no. 5, pp. 374–378, 2011. 16. Chen WD, Liang Y, Li H, Xiong Y, Liu XD, Wang GJ, et al. Simple,sensitive and rapid LC-ESI-MS method for the quantization of lafutidine in human plasma–application to pharmacokinetic studies. J Pharm Biomed Anal. 2006;41:256–60. 17. Akiba YZ, Kaunitz JD. Lafutidine, a protective H2 receptor antagonist, enhances mucosal defense in rat esophagus. Dig Dis Sci. 2010;55:3063–9. 18. Pan CE, Xu XZ, He HZ, Cai XH, Zhang XH. Separation and identification of cis and trans isomers of 2-butene-1,4-diol and lafutidine by HPLC and LC-MS. J Zhejiang UnivSci B. 2005;6:74–8. 19. Wakabayashi H, Nakajima M, Yamato S, Shimada K. Determination of OLM in rat serum and brain by high-performance liquid chromatography using platinum catalyst reduction and electrochemical detection. J Chromato. 1992;573:154–7. 20. Chintan VP, Amit PK, Anandi DC, Kalpesh TP. Validated absorption factor spectrophotometric and reversed-phase high-performance liquid chromatographic methods for the determination of ramipril and OLM in pharmaceutical formulations. Eur J Anal Chem. 2007;2:3. 21. P. Keerthana, B.G. Geetha, 3 P. Kanmani,” Crustose Using Shape Features And Color Histogram With KnearestNeighbour Classifiers”, International Journal Of Innovations In Scientific And Engineering Research, Vol. 4, Iss. 9,2017,Pp. 199-203. 22. K.Malarvizhi, R.Kiruba,” A Novel Method Of Supervision And Control Of First Order Level Process Using Internet Of Things”, Journal Of Advanced Research In Dynamical And Control Systems, Vol. 9, Sp– 6 , 2017, Pp. 1876-1894. 23. Latha.L, Suriya.P And Sindhuja.V.P,” Automating The Irrigation System”, International Journal Of Pure And Applied Mathematics, Vol.116, No. 11,2017, Pp. 211-219 Authors: J. J. Nandhini, K. Premalatha Paper Title: Smart way of Augumenting Ecological Environment – Smart Organic Farming Abstract: Agricultural Runoff is a serious concern of fertilizers used in agriculture: Chemical fertilizer usually contains chemicals which are not easily biodegradable and those chemicals leech in to the soil and run in to the ponds, canals, rivers and sea with rain water which pollutes our environment and leads to serious consequences. The nitrogen and other chemical present in chemical fertilizers can contaminate the ground water. To avoid the negative effect of the chemical fertilizer these days people prefer using organic fertilizer in their farms. Chemical fertilizers have many negative effects for our health and environment. It makes the plant to grow well but not actually healthy; almost all essential natural resources from air, soil, and water has been polluted in the big city.Among the types of pollution, the worst pollution is water pollution through chemical fertilizers or inorganic fertilizer. From the above details, it is noted that Chemical fertilizers and pesticides acts as a slow poison for the future generation.To make the living environment healthier, Organic fertilizer (Ancient organic farming method - Panchagavya) is the best choice. This paper introduces the smart way of organic fertilizer production and utilization thereby makes the process simpler and cost effective accessibility of benefits by each and every farmers.

74. Keywords: Chemical Fertilizer-effects; Organic and inorganic fertilizer; Panchagavya; Production; Utilization Healthy environment; Smart way 322-326

References: 1. SerpilSavci, “An Agricultural Pollutant: Chemical Fertilizer “, International Journal of Environmental Science and Development, Vol. 3, February 2012 2. Press Information Bureau, Government of India, Ministry of Health and Family Welfare, 31-August-2012 18:16 IST 3. SwaminathanC,SwaminathanV,Vijayalakshmi K. Panchagavya –“Boon to organic Farming”, International Book Distributing Company (2007) 4. https://www.greeenmylife.in/shop/planting-supplies/panchagavya 5. http://agritech.tnau.ac.in/org_farm/orgfarm_panchakavya.html 6. www.agrifarming.in>panchagavya-preparation/ 7. https://www.nhrorganicoils.com/frame.php?Page=info_50 8. KuldeepDhama; SandipChakraborty; RuchiTiwari“Panchgavya therapy (Cowpathy) in safeguarding health of animals and humans - a review”, Research Opinions in Animal and Veterinary Sciences, Vol.3 No.6 pp.170-178 9. https://create.arduino.cc/projecthub/ransomhall/precision-agriculture-a-prototype-solution-58a43b 10. https://www.hackster.io/renesas-team-sece/smart-agriculture-system-with-iot-2efb66 11. http://air.imag.fr/index.php/AgriSensor_:_Arduino Based_Sensor_for_Agriculture Authors: M Jothibasu, M Karthik, E Malar, S Boopathy, M Senthil Kumar Paper Title: Improved Reversible Data Hiding Through Image Using Different Hiding andCompression Techniques Abstract: Steganography is a technique to be used for hiding communication. It embeds secret data in to unexceptional cover medium. Reversible data hiding (RDH) significantly considered as data hiding algorithm. From this, anyone can inbuilt the data into audio signal, image or video. Commonly two methods are available to hide the data on the image one is for reserving room after encryption and reserving room before encryption. This paper describes about reserving room before encryption to reduce the errors, which are possible in decryption phase. Subsequently it embed the data into gray scale image by bit plane processing algorithm and also embed data into color image by using histogram modification technique and shifting. If in the case of color image, image is splits into three channels such as red, green and blue. Then each channel image separated into three rows and three columns matrices. The matrices are individually processed in such a way that the matrix transformed to a row vector. The difference between pixel values of the particular channel establish and using histogram modification binary bits carrying secret message to embedded on the color image. Normally histogram 75. modification is done to avoid underflow and overflow problems. Major the important issue in this process is compression employed on the image may affect the data hidden. To avoid this, the reserving room before encryption is employed and 327-330 lossless compression technique is engaged on region of interest where data is hidden and lossy compression is applied to other portions in the image.

Keywords: Reserving room before encryption (RRBE), Reversible data hiding (RDH), encryption, partitioning, Histogram Modification, Histogram Shifting, Least Significant Bit (LSB).

References: 1. Jing Long, Xinpeng Zhang, Zichi Wang, and Hang Cheng, “Lossless and Reversible Data Hiding in Encrypted Images with Public Key Cryptography”, IEEE Transactions on Circuits and SystemsforVideoTechnology, DOI 10.1109/TCSVT.2015.2433194. 2. K. Ma, W. Zhang, X. Zhao, N. Yu, and F. Li, “Reversible Data Hiding in Encrypted Images by Reserving Room Before Encryption,” IEEE Trans.Information Forensics & Security, 8(3), pp. 553- 562, 2013. 3. Lina Dong, Wei Liu, WenjunZeng, and QiumingYao,“Efficient Compression of Encrypted Grayscale Images”, Image Processing, IEEE Transactions Vol: 19, April 2010, pp. 1097 – 1102. 4. M. Fallahpour and M. H. Sedaaghi, “High capacity lossless data hiding basedon histogram modification,” IEICE Electron. Exp., vol. 4, no. 7, pp. 205–210, Apr. 2007. 5. L. Kamstra and H. J. A. M. Heijmans, “Reversible data embedding into images using wavelet techniques and sorting,” IEEE Trans. Image Process., vol. 14, no. 12, pp. 2082–2090, Dec. 2005. 6. M. U. Celik, G. Sharma, A. M. Tekalp, and E. Saber, “Lossless generalized- LSB data embedding,” IEEE Trans. Image Process., vol. 14, no. 2, pp. 253–266, Feb. 2005. 7. ShiffaSaleem; Abraham Thomas; Dominic Mathew, “Secure reversible data hiding in color images using LWT and hyper chaotic encryption”, IEEE conferences on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2017. Pp. 1385 – 1389 DOI: 10.1109/ICICICT1.2017.8342772. 8. Shuang Yi; Yicong Zhou, “Adaptive code embedding for reversible data hiding in encrypted images”,IEEE International Conference on Image Processing (ICIP) 2017. Pp. 4322 – 4326. 9. Pauline Puteaux; William Puech, “An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images”, IEEE Transactions on Information Forensics and Security 2018. Pp. 1670 – 1681. 10. DongdongHou; Weiming Zhang; Kejiang Chen; Sian-Jheng Lin; NenghaiYu,“Reversible Data Hiding in Color Image with Grayscale Invariance”, IEEE Transactions on Circuits and Systems for Video Technology 2018. Pp.1 -1. 11. V.Senthilkumar, B.Vinoth Kumar, P.Saranya,” Normalized Pagecount And Textbased Metric For Computing Semantic Similarity Between Webdocuments”, Journal Of Advanced Research In Dynamical And Control Systems, Vol. 9. Sp– 6 / 2017,Pp.1865-1875. 12. MoupuriSatish Kumar Reddy. Devasena ,nirmalaJegadeesan,” Optimal Search Agents Of Dragonfly Algorithm For Reconfiguration Of Radial Distribution System To Reduce The Distribution Losses”, International Journal Of Pure And Applied Mathematics, Vol. 116 No. 11, 2017, Pp. 41- 49. 13. N.Krithika,” A Study On Wha (Watering Hole Attack) – The Most Dangerous Threat To The Organisation”, International Journal Of Innovations In Scientific And Engineering Research (Ijiser), Vol. 4, No .8, 2017,Pp.196-198. Authors: U. Rajkanna, M. Mathankumar, R. Kannappan Paper Title: Design and Development of Low Cost Crevice Testing Equipment for Process Industries Abstract: Packaging is very important process in many pharmaceutical, food and manufacturing industries. For packaging most of the industries prefers plastic bottles, tins, glass bottles and plastic covers. At the time of packing it’s important to ensure the cans are not damaged. To ensure this handful of techniques are being implemented in the industry. Among them, most common technique is bubble testing method. This method has a drawback of rusting with time and high initial cost. Presence of water in the can may affect the quality of the final product in the can. To overcome these drawbacks PLC and photo resistive effect based system have proposed and developed. This proposed system is classified into transport unit, testing unit and control unit. The transporting unit is a conveyor belt arrangement, testing unit comprises of photo resistive effect based system and control unit to monitor and control overall operation of the system. The control unit rejects 76. damaged cans from the conveyor by monitoring. This system has been developed at low cost and with faster response rate.

331-333 Keywords: Crevice Testing, Non Contact Crevice Testing, Photo resistive Based Crevice Testing, Automation, PLC

References: 1. Leak Testing Methodologies. Vacuum Engineering, pp.1-9. 2. M.Saravanabalaji, V.Athappan “MPC for Internal Temperature of Distillation Column in Petroleum Refineries” Journal of Advanced Research in Dynamical and Control Systems, Issue 16,2017, pp.1208-1220,. 3. Barazzetti, L., and M. Scaioni “Crack Measurement: Development, Testing and Applications of an Automatic Image-Based Algorithm” ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 64 issue 3, pp.285-296, 2009. 4. Fernando Filipe Rodrigues Franco “High Sensitivity Magnetoresistive Based Systems for Non-Destructive Testing (NDT) Applications” Portugal, TecnicoLisboa, 2014. 5. S. Saravanakumar, V. Dineshkumar “High Throughput Quaternary Signed Digital Adder Design for Portable Electronic Applications” International Journal of Pure and Applied Mathematics, Vol. 116(11) 2017, pp. 61-69. Authors: T.JasparVinithaSundari, K.Karthika Paper Title: Inverter Design using Junction less GAA Tunnel Field Effect Transistor Abstract: The escalating pressure to defeat the drawbacks of conventional MOSFET such as physical limitations due to its short channel effects has inspired the production of a number of superior materials and device goemetries. In the midst of these novel devices are FinFET, Carbon Nanotube and Nanowires based FETs, having the attributes such as quasi 2-D and 1-D channel geometries for enhanced electrostatics. While a lot of of these modernizations aims only on building up high- performance devices, the making of a roadmap to forecast in-circuit performance combined with large scale integration for these technologies is highly desirable. In this paper we have incorporated Junction less gate all around TFET thus leading to ease of fabrication because of absence of doping concentration gradients for specific regions. In addition low power 77. consumption is obtainable by TFETs as they are less prone to second order effects. The basic inverter circuit has been designed using the device and their performance is examined. 334-336

Keywords: Tunnel diode, Field effect transistor,MOSFET, TFET

References: 1. A.MariaJossy, T.Vigneswaran (2014),“ A Perspective Review of Tunnel Field Effect Transistor with Steeper Switching Behavior and Low off Current (IOFF) for Ultra Low Power Applications”, International Journal of Engineering and Technology (IJET), pp.no 223-232. 2. BehnamSedighi, Xiaobo Sharon Hu, Huichu Liu, Joseph J.Nahas, Michael Niemer(2015), “Analog circuit Design using Tunnel-FETs, IEEE Transactions on Circuits and Systems”, Vol. 62 No. 1, pp.no 39-48. 3. C. Alper, L. De Michielis, N. Dag˘tekin, L. Lattanzio, D. Bouvet, A.M. Ionescu(2013), “Tunnel FET with non-uniform gate capacitance for improved device and circuitlevel performance”, Elsevier Solid-State Electronics 84, pp.no 205–210. Authors: Nagarathinam S Paper Title: Power Efficient Successive Approximation ADC With Double Tail Dynamic Latch Comparator 78. Abstract: Analog to Digital converters (ADC) are used in medical instruments that serves as an essential part as the interface between analog and digital signal processing system. Low power design is needed for large battery life. 337-339 Commonly used ADC is the successive Approximation Register (SAR) ADC. The other ADC models are Pipeline ADC, Flash ADC, integration ADC, Sigma Delta ADC. ADCs are chosen by considering resolution, power, size, frequency, performance and so on. A SAR ADC is selected for such applications because of its low power and tiny size. The essential engineering of SAR ADC comprise of sample and hold circuit, SAR, ADC and voltage comparator. This paper deals with double tail dynamic latch comparator which is replaced with thecomparator of SAR ADCs. The parameter estimations, like utilization of power, Signal to Noise ratio and resolution are carried out for SAR ADC. The schematic of SAR ADC has been designed using Tanner tool.

Keywords: Analog to Digital converters, Sample and Hold circuit, Low power, Resolution, SAR ADC.

References: 1. B. Goll and H. Zimmermann, “A comparator with reduced delay time in 65-nm CMOS for supply voltages down to 0.65,”IEEE Tran. Cir. Sys. II, Exp. Briefs, vol. 56, no. 11, pp. 810–814, Nov. 2009. 2. S. U. Ay, “A sub-1 volt 10-bit supply boosted SAR ADC design in standard CMOS, ”Int. J. Analog Integ. Cir. Sig. Pro., vol. 66, no. 2, pp. 213–221, Feb. 2011. 3. Amin Nikoozadeh and Boris Murmann, “An Analysis of Latch Comparator Offset Due to Load Capacitor Mismatch”, IEEE Tran. on Cir. And Sys. II: Express Briefs, Vol. 53, No. 12, December 2006. 4. SamanehBabayan-Mashhadi and Reza Lotfi,” Analysis and Design of a Low-Voltage Low- Power Double-Tail Comparator”, IEEE Tran. On VLSI Sys., Vol. 22, No. 2, February 2014. 5. Fan.H, Han.X, Wei.Q, Yang.H, “A 12-bit self-calibrating SAR ADC achieving a Nyquist 90.4-dB SFDR”, Springer Analog Integ. Cir. Sig. Process (2013) 74:239–254. 6. Mohammad Taherzadeh-Sani and Anas A. Hamoui,” A Reconfigurable and Power-Scalable 10–12 Bit 0.4–44 MS/s Pipelined ADC With 0.35–0.5 pJ/Step in 1.2 V 90 nm Digital CMOS”, IEEE Tran. On Cir. And Sys.I: Regular Papers, Vol. 60, No. 1, January 2013 7. Si-Seng Wong, U-Fat Chio, YanZhu, Sai-Weng Sin, Seng-Pan U and Rui Paulo Martins, “A 2.3 mW 10-bit 170 MS/s Two-Step Binary-Search Assisted Time-Interleaved SAR ADC”, IEEE Journal Of Solid-State Cir., Vol. 48, No. 8, August2013. 8. B. P. Ginsburg and A. P. Chandrakasan, “Dual Time-Interleaved Successive Approximation Register ADCs for an Ultra-Wideband Receiver,” IEEE J. Solid-State Cir., vol. 42, no. 2, pp. 247–257, Feb, 2007. 9. Nagarathinam S, David S. An Improved Comparator Structure For 8-Bit SAR ADCs : A Review. IJPAM, Dec 2017. Vol. 117 No. 8 2017, 145-148 10. M.Ramakrishnan,C.Nalini,“Analysis And Classification Of Risk Assessment In Patients Suffering From Congestive Heart Failure By Using Computer Based Statistics”, International Journal of Innovations in Scientific and Engineering Research (IJISER), Vol 1 Issue 2 FEB 2014/107,pp88-93. 11. P. JebaSanthiya1 and D.Murugan, “Soft Computing Based Classification of Electrogastrogra M Signals”, International Journal of Engineering 12. Vijayanandh R, Senthil Kumar M , Vasantharaj C , Raj Kumar G , Soundarya S, “Numerical Study On Structural Health Monitoring For Unmanned Aerial Vehicle”, Journal of Advanced Research in Dynamical and Control Systems,Vol-9,Sp– 6 / 2017,pp1937-1958. Authors: S N Shivappriya, DivyaRaju, R. Harikumar Paper Title: Augmented model of stacked autoencoder for image classification Abstract: Stacked Auto Encoder (SAE )is used to pre-train the deep network in the training phase of the individual layer for classifying complex real time data’s. MNIST and IMAGENET are used to train the network. Time consumed and accuracy during the training period is calculated for the MNIST data set which is binary image and IMAGENET dataset includes color image applying the Stacked Auto Encoder algorithm which is trained one layer at a time. Here the SAE consists of three layers which is stacked together and its parameters are varied in such a way that the constructed SAE out performs achieving time and accuracy tradeoff. The SAE model improves the accuracy of the image classifier in both binary and color image dataset with the reduced time

Keywords: Artificial Neural Network, Stacked, Auto Encoder, Image classification

References: 1. P.Baldi,“Autoencoders, Unsupervised Learning, and Deep Architectures,” ICML Unsupervised Transf. Learn., pp. 37–50,2012. 2. D.Meyer,“IntroductiontoAutoencoders,”pp. 1–8,2014. 3. Y.Bengio,P.Lamblin,D.Popovici,andH.Larochelle,“Greedy Layer-Wise Training of Deep Networks,” Adv.Neural Inf. Process.Syst.,vol.19, no. 1,p. 153,2007. 4. Y. Bengioetal., Learning Deep Architectures for AI, vol.9, no. 1.2011. 5. H.Larochelle, D.Erhan, A.Courville, J.Bergstra, and Y. Bengio, “An empirical evaluation of deep architectures on problems with many factors of variation,” Proc.24th Int.Conf.Mach.Learn.-ICML’07,no.January,pp.473–480, 2007. 6. G.E. Hinton and R.R. Salakhutdinov, “Reducing the dimensionality of data with neural networks,” Science(80).,vol.313, no. 5786, pp. 504– 79. 507,2006. 7. P. Vincent PASCALVINCENT and H.Larochelle LAROCHEH, “Stacked Denoising Auto encoders: Learning Useful Representations in a Deep 340-344 Network with a Local Denoising Criterion Pierre-Antoine Manzagol,”J. Mach.Learn.Res.,vol.11, pp. 3371–3408,2010. 8. Y.Nomura, A.S.Darmawan, Y.Yamaji, and M.Imada, “Restricted-Boltzmann- Machine Learning for Solving Strongly Correlated Quantum Systems,” no. 1, pp.1–9, 2017. 9. G.C. Pacheco, R. A. Krohling, and C.A.S.daSilva, “Restricted Boltzmann machine to determine the input weights for extreme learning machines,” Expert Syst.Appl.,vol.96, pp. 77–85, 2018. 10. S.Billings, “Gradient Augmented Information Retrieval with Auto encoders and Semantic Hashing,”2018. 11. A.Galloway, G.W.Taylor, and M.Moussa, “Predicting Adversarial Examples with High Confidence,” no. Icml,2018. 12. G.Du,L.Yuan,K.J.Shin, and S.Managi, “Enhancement of land-use change modeling using convolutional neural networks and convolutional denoising auto encoders,” pp.1–26, 2018. 13. A.Sankaran, M.Vatsa, R.Singh, and A.Majumdar, “Group sparse auto encoder,” ImageVis.Comput., vol. 60, pp. 64–74,2017. 14. W. Jin, R. Barzilay, and T.Jaakkola, “Junction Tree Variational Auto encoder for Molecular Graph Generation,”2018. 15. D.Kohli,B. C.Das, V.Gopalakrishnan, and K.N.Iyer, “Learning rotation in variance in deep hierarchies using circular symmetric filters,” ICASSP, IEEE Int.Conf.Acoust. Speech Signal Process. -Proc., pp.2846–2850, 2017. 16. R.Iyer and M.Lewis, “Transparency and Explanation in Deep Rein for cement Learning Neural Networks,” 2018. 17. G.Cohen, S.Afshar, J.Tapson, and A.VanSchaik, “EMNIST: Extending MNIST to handwritten letters,” Proc.Int.Jt.Conf. Neural Networks, vol. 2017–May, pp.2921–2926, 2017. 18. P.Chrabaszcz, I.Loshchilov, and F.Hutter, “A Down sampled Varian to fImageNet as an Alternative to the CIFAR data sets,” pp.1–9, 2017. 19. S. Saravanakumar, V. Dinesh Kumar, “High Throughput Quaternary Signed Digital Adder Design For Portable Electronic Applications”, International Journal of Pure and Applied Mathematics, Volume 116 No. 11 2017, 61-69. 20. T. Karuppusamy, C. Velmurugan, S. Saran, K. Sukanthanbabu, “Investigation On The Microstructure And Wear Characteristics Of Heat Treated Hybrid Aluminium Composites”, Journal of Advanced Research in Dynamical and Control Systems, Vol. 9. Sp– 6 / 2017, pp1895-1912. 21. S.Gayathiri, R.Gokulapriya,V.S.Arulmurugan,” An Improved Channel Aware Smart Grid Transmission For Manet”, International Journal of Innovations in Scientific and Engineering Research (IJISER), Vol 1 Issue 4 APR 2014, pp212-219. Authors: G. Sasi, G. Athisha, S. Surya prakash Paper Title: Performance Analysis of an IoT Wireless Transceiver Network for Smart City Applications Abstract: Smart City is the one which uses Information and Communication Technologies to make the critical infrastructure components and services of city administration, education, healthcare, public safety, real estate, transportation and utilities more aware, interactive and efficient. Majority of IoT network nodes employed indifferent applications involve various connectivity standards such as Near Field Communication (NFC), ZigBee, Bluetooth.To design an IoT device with Multistandard Microcontroller Unit and tointegrate the above IoT device with line transceiver to develop an IoT wireless transceiver node. After validating test the network with various wireless signals simulated for widely used wireless connectivity standards and application by evaluation of QoS parameters.

Keywords: Line transceiver,Received Signal Strength, Link quality Indiactor, Bandwidth, Transciver, Energia.

References: 1. Xiaolong Jin, B. Waha, X. Cheng, Y. Wang, “Significance and Challenges of Big Data Research, Big DataResearch”vol. 2, 2015,PP 59–64. 2. R. Colella, L. Catarinucci and L. Tarricone, "Improved RFID tag characterization system: Use case in the IoT arena," 2016 IEEE International 80. Conference on RFID Technology and Applications (RFID-TA), Foshan, 2016, pp. 172-176. 3. K. Fan, C. Liang, H. Li and Y. Yang, "LRMAPC: A Lightweight RFID Mutual Authentication Protocol with Cache in the Reader for IoT," 2014 345-350 IEEE International Conference on Computer and Information Technology, Xi'an, 2014, pp. 276-280. 4. S. Amendola, R. Lodato, S. Manzari, C. Occhiuzzi and G. Marrocco, "RFID Technology for IoT-Based Personal Healthcare in Smart Spaces," in IEEE Internet of Things Journal, vol. 1, no. 2, pp. 144-152, April 2014. 5. A.K. Evangelos, D.T. Nikolaos, and C.B. Anthony, “Integrating RFIDs and smart objects into a Unified Internet of Things architecture,” Advances in Internet of Things, vol. 1, pp. 5-12, 2015. 6. S. Krithika,”Performance Analysis of CDMA Technique in Optical Fibre Networks Using Signal Processing, National Conference on “Recent trends in Communication Techniques” 7. IoT and Cloud Technology in Residential and Business premises as Ubiquitous Computing, International Journal of Internet of Things and Web Services, ISSN: 2367-9115, Volume 2, 2017. 8. Ahmed A. Elngar,”Employing an efficient tamper detection mechanism for IoT-based healthcare systemsInternational Journal of Internet of Things and Cyber-Assurance” (IJITCA), Vol. 1, No. 2, 2018 9. RK Kavitha, MS Irfan Ahmed, “Knowledge sharing through pair programming in learning environments: An empirical study”,vol 3.issue 2. PP 319- 339,springer publications 10. SN SHIVAPPRIYA VISAKAA,”Review on Routing Protocols in WSN for Low Power Applications,International Journal of Pure and Applied Mathematics, vol.117,issue 2.2017. 11. Big Data Analytics and Internet of medical Things Make Precision Medicine a Reality,International Journal of Internet of Things and Web ServicesISSN: 2367-9115Volume 3, 2018 Authors: SuryaprakashShanmugasundaram, M.Mathankumar, TamilarasuViswanathan Paper Title: Design and Development of Fleet Tracking and Management for Improved Productivity using Sensor Nodes Abstract: This paper describes about the work done in design and development of low cost fleet tracking and management for improved productivity and security features.The system is divided into three major parts such as fleet tracking, fleet management and security. The problem of identifying good driver who ride the vehicle with maximum fuel consumption and security is really a hard thing for the big management.This problem is solved by the devised model. Fleet tracking is based upon the inbuilt GPS which gives accurate position of the location of the vehicle, security is made by two components such as OTP based vehicle unlocking and prevention of unlocking when the driver seems to be drunken. All the On-board sensor datais collected and send through the remote server through Wi-Fi Protocol. The gained information is breaking down and handled and send back to the proprietor of the vehicle through SMS and online administrations. The created framework is verified by the functionality with developed prototype.

Keywords: Tracking, Vehicle Management, RFID Secured, IoT.

81. References: 1. Gao, R., Zhao, M., Ye, T., Ye, F., Wang, Y. and Luo, G., “Smartphone-Based Real Time Vehicle Tracking in Indoor Parking Structures,” IEEE 351-354 Transactions on Mobile Computing, Vol. 16 no. 7, pp.2023-2036 , March 2017 . 2. Patra, Jitendra, ShivamAsode, KaushikBabhure and NusratAnjum, "Bus Tracker Via GPS Using Andriod Application," International Research Journal of Engineering and Technology (IRJET), Vol. 5 no. 3, pp.261-263, March 2018. 3. M.Mathankumar, SuryaprakashShanmugasundaram,.Thirumoorthi.P and U.Rajkanna, “Development of Smart Car Security System using Multi Sensors”, International Journal of Pure and Applied Mathematics, Vol. 117, no.22, , pp. no. 19-23, 2017. 4. O. A. Basir, “Vehicle monitoring system with automatic driver identification.” U.S. Patent, vol. 9, no. 855, 2018. 5. RamalathaMarimuthu, A.Suresh, M.Alamelu and S.Kanagaraj, “Driver Fatigue Detection using Image Processing and Accident Prevention”, International Journal of Pure and Applied Mathematics, Vol. 116,No. 11, pp 91-99, 2017. 6. Xia, Feng, Laurence T. Yang, Lizhe Wang, and Alexey Vinel. "Internet of things." International Journal of Communication Systems, Vol. 25, no. 9 , pp. 1101, 2012. 7. SOuyangHongzhi, Wang Xinlin, Zhu Weihua, Li Yuehua, “Design of Auto-Guard system Based on RFID and Network”, 2011. 8. J.R. Shaikh, S. M. Kate, “ARM7 Based Smart car Security System”, 2012. 9. Zhixiong Liu, Guiming He, “A vehicle anti-theft and alarm system based on computer vision”, Proceedings of IEEE International Conference on Vehicular Electronics and Safety, pp.326- 330. Oct. 2006. 10. Jayendra G, Kumarawadu S, Meegahapola L, “RFID-based antitheft auto security system with an immobilizer,” Proceedings of International Conference on Industrial and Information Systems, Aug. 2008, pp. 441-446. Authors: SaravananRajaram, N.Chandrasekaran, S.SuryaPrakash Paper Title: Design of Intelligent Transport System using PIC16F877 Microcontroller Abstract: In this fast moving world, people are in a real haste to move to their desired destination at no time. This makes 82. them to drive the vehicles fast and many times it results in road accidents and invaluable life loss. These road accidents are due to traffic signal violation, rash driving of vehicles. In order to avoid such road accidents, we have proposed an 355-358 Embedded based Vehicle Motion Control system. This enables the vehicles to be run at controlled speeds depending upon the nature of the area the vehicle crosses. Also, drunken driving is strictly prohibited. This adds safety to the drivers and also to the public people. Our Proposed system consists of PIC 16F877A microcontroller, RF transmitter and RF receiver modules. The RF transmitter unit will be found along with the traffic signals and also in school, hospital, temple zones, etc. The RF receiver unit will be found in the vehicles. RF transmitters transmit signals which will be processed by the microcontroller unit enclosed with the receiver unit and it controls the speed of the vehicles when they reach the respective zones.

Keywords: RF Transmitter, RF Receiver, Vehicle, Transport System, Microcontroller.

References: 1. LEONARD, John, et al. A perception-driven autonomous urban vehicle.Journal of Field Robotics, 2008, 25. Jg., Nr. 10, S. 727-774 2. Pomerleau, D., "Visibility estimation from a moving vehicle using the RALPH vision system", IEEE Conference on Intelligent Transportation System, 1997. ITSC '97, pp. 906-911, 9-12 Nov 1997. 3. N. Hautiere, D. Aubert, "Contrast restoration of foggy images through use of an onboard camera, " Intelligent Transportation Systems, 2005. Proceedings.2005 IEEE, pp.601-606, 13-15 Sept. 2005. 4. Tan, R.T., "Visibility in bad weather from a single image", IEEE Conference on Computer Vision and Pattern Recognition, 2008. CVPR 2008, pp.1-8, 23-28 June 2008. 5. W. Middleton, Vision through the atmosphere. University of Toronto Press, 1952. 6. Pavlic, M.; Belzner, H.; Rigoll, G.; Ilic, S., "Image based fog detection in vehicles", Intelligent Vehicles Symposium (IV), 2012 IEEE, pp.1132- 1137, 3-7 June 2012. 7. "Urban Mobility Report, Texas Transportation Institute, Texas A&M University, " 2007. 8. B. Coifman and M. Cassidy, "Vehicle reidentification and travel time measurement on congested freeways, " Transportation Research Part A: Policy and Practice, 2002. 9. L. Li, L. Chen, X. Huang, and J. Huang, "A traffic congestion estimation approach from video using time-spatial imagery, " in Proceedings of the 2008 First International Conference on Intelligent Networks and Intelligent Systems, 2008. 10. Eleryan, M. Elsabagh, and M. Youssef, "Synthetic generation of radio maps for device-free passive localization, " in IEEE Globecom, 2011. 11. Mengxianghai, Shi yongyi, Wang hao. Speed distribution characteristics and speed limits of freeway work zones[J]. Journal of Transportation Systems Engineering and Information Technology, 2013, 2 (13): 150-155. 12. James Migletz, Jerry L. Graham. Work zone speed limit procedure[C]. Washington D.C.: Transportation Research Board, 1999: 24-30. 13. Fudala, Nicholas J, Fontaine,Michael D. Interaction between system design and operations of variable speed limit systems in work zones[J]. Transportation Research Record, January 2010, 1-10. 14. Nicholas J Fudala, Michael D Fontaine. Interaction between system design and operations in work zone variable speed limit systems[C]. Washington D.C.: Transportation Research Board, 2010: 24-30. 15. Lee C, Hellinga B, Saccomanno F. Evaluation of variable speed limits to improve traffic Safety[J]. Transportation Research Part C, 2006, 14 (3): 213-288 16. R. Marudhachalam and GnanambalIlango, “Fuzzy Center Weighted Hybrid Filtering Techniques for Denoising of Medical Images”, International Journal of Fuzzy Mathematics and Systems, ISSN 2248-9940 Vol. 2, No. 4, pp. 383-390, 2012. 17. V Nandhini, K Ramprakash Power Reduction by Flip Flop Merging Technique Using Heuristic Algorithm - Software Engineering and Technology, 2015 18. R. Mahalakshmi, A. Kumar, A. Kumar, "Design of Fuzzy logic based maximum power point tracking controller for solar array for cloudy weather conditions", IEEE power and energy systems: towards sustainable energy, pp. 1-4, 2014. Authors: Suryaprakash Shanmugasundaram, M. Mathankumar, P. Thirumoorthi Paper Title: Development of Next Generation IOT Based Agricultural Model with Integrated Land Testing Equipment Abstract: Agriculture is the backbone of our country that contributes to 45% of the total GDP that is responsible for the enhancement of country’s economy. The project aims at building an integrated module for improving the efficiency of the present agricultural modules. The proposed module consists of a series of array of sensors such as ambient temperature, moisture, air quality and the pH sensor to measure the pH of the soil and environmental condition. All this data are sampled at regular interval of time, formatted and send to the cloud for backend works such as comparing it with the stored data and predicting the type of crop that can be grown in the particular land and these data will be saved in the cloud so that during disaster time, it will be helpful for the government and insurance agents for speedy approval of insurance claim. The developed model would considerably reduce the need for experts to visit the place and to perform manual testing during the disaster.

Keywords: Microcontrollers, Precision Agriculture, Sensor Networks

References: 83. 1. M. Ponti, A. A. Chaves, F. R. Jorge, G. B. P. Costa, A. Colturato and K. R. L. J. C. Branco, "Precision Agriculture: Using Low-Cost Systems to Acquire Low-Altitude Images," in IEEE Computer Graphics and Applications, vol. 36, no. 4, pp. 14-20, July-Aug. 2016. 2. L. Zhou, N. Chen, Z. Chen and C. Xing, "ROSCC: An Efficient Remote Sensing Observation-Sharing Method Based on Cloud Computing for Soil 359-362 Moisture Mapping in Precision Agriculture," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 12, pp. 5588-5598, Dec. 2016. 3. U. S. Rajani, A. Sathyan, A.Mohan and A. A. Kadar, "Design architecture of autonomous precision farming system," 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), Kannur, 2017, pp. 415-419. 4. R. Marimuthu, M. Alamelu, A. Suresh and S. Kanagaraj, "Design and development of a persuasive technology method to encourage smart farming," 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), pp. 165-169. Dhaka, 2017 5. T. Dinh Le, D. H. Tan, "Design and deploy a wireless sensor network for precision agriculture", Information and Computer Science (NICS) 2015 2nd National Foundation for Science nd Technology Development Conference, pp. 294-299, 2015. 6. Luo, L. Qin, X. Li, G. Wu, "The implementation of wireless sensor and control system in greenhouse based on ZigBee", International Journal of VLSI design & Communication Systems (VLSICS), vol. 3, no. 4, August 2012. 7. Allin Joe, D., R. Karthikumar, and P. Pavithra. "An Energy Efficient, Reduced Interference Interaction System using ZigBee." International Journal Of Advance Research And Innovative Ideas In Education (IJARIIE) 3.3 (2017): 2850-2855. 8. D. F. G. Monroy, Á. M. Hernández and L. M. Villegas, "Mobile computing system to support the management of the seed production process in crop genebanks," 2014 9th Computing Colombian Conference (9CCC), Pereira, 2014, pp. 109-114. 9. S. Gajjar, D. Kothari, M. Upadhyay and V. Dhingra, "FARMNET: Agriculture support system using Wireless Sensor and Actuator Network," 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, 2017, pp. 291-296. 10. X. Hu and S. Qian, "IOT application system with crop growth models in facility agriculture," 2011 6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT), Seogwipo, 2011, pp. 129-133. 84. Authors: V. Ramesh Babu, Ariharashudan, Chandrasekaran, A. Arunraj Paper Title: Investigating of Electroless Nickel Plating Process for Polypropylene Nonwoven Fabric Abstract: Metalized fabric substances have a large capacity in the various scope of applications which include electromagnetic field defensive, infrared radiation safety, obtaining fabric substances with antistatic, antibacterial, electrically conductive, radio soaking up, heat reflective and other unique houses. The aim of our project work is to develop a metallized textile through Electro less Nickel Plating Technique and to optimize the process parameters to get high nickel deposition on spun bond polypropylene nonwoven fabric through Box and Behnken method. It was found that the optimum deposition taken place when the process conditions were kept at Temperature (°C) = 60, Time = 30 min and pH= 9. The SEM analysis reveal that uniform coating and existence of nickel on the surface of the substrate produced from the above optimum conditions. The concert of nickel-finished nonwoven fabric spun bond polypropylene become determined to be depending on the quantity of nickel debris adhered on the material substrate. The optimized spun bond polypropylene nickel-plated nonwoven fabric was greater in their thermal properties and color fastness to light and washing. However, there was a decrease in rubbing fastness.

Keywords: nickel plating, nonwoven, fabric, polypropylene, textile 363-367 References: 1. http://www.swicofil.com/textile_metallization.html 2. https://en.wikipedia.org/wiki/Electroless_plating 3. Jiang, S., Niu, D., Yuan, J., &Jian, Z. (2005). Metal processing techniques and fiber art.(Art & Design). 4. Khoperia, T. N., Tabatadze, T. J., &Zedgenidze, T. I. (1997). Formation of microcircuits in microelectronics by electroless deposition. ElectrochimicaActa, 42(20-22), 3049-3055. 5. Yuen, C. W. M., Jiang, S. Q., Tung, W. S., &Kan, C. W. (2007). Textile Design with Electroless Nickel Plating. Research Journal of Textile and Apparel, 11(2), 60-66. 6. Perumalraj, R., &Dasaradan, B. S. (2011). Electroless nickel plated composite textile materials for electromagnet compatibility. 7. Lee, P. C., Kim, B. R., Jeoung, S. K., & Kim, Y. K. (2016, March). Electromagnetic interference shielding effectiveness of polypropylene/conducting fiber composites. In AIP Conference Proceedings (Vol. 1713, No. 1, p. 120015). AIP Publishing. 8. Guo, R. H., Jiang, S. X., Yuen, C. W. M., Ng, M. C. F., &Lan, J. W. (2013). Metallized textile design through electroless plating and tie-dyeing technique. Journal of The Textile Institute, 104(10), 1049-1055. 9. Kan, C. W., Yuen, C. W. M., Jiang, S. Q., & Tung, W. S. (2007). Optimising the electroless nickel plating process for textile application. Research Journal of Textile and Apparel, 11(3), 60-70. Authors: M. Saravanan, L. Sasikala, R. Sukanya Devi Paper Title: Antibacterial Finish for Fabric Used In Helmet Interlining Abstract: Development of bacteria free interlining fabric for helmet interlinings remain mandatory in today’s competitive and fast growing technical world since our government is imposing the need of safety through implementation of strict rules that all motor cycle riders wear helmet and it’s our duty that we wear a hygienic helmet to protect our health. In this study, presence of bacteria in the used helmet swabs under aerobic bacterial culture method has been analysed and determined that two bacterium namely staphylococcus aureus and klebsiella pneumonia were present in it. As nano silver is widely know for its antibacterial activity, used it in our study for applying antibacterial finish on polyester fabrics through pad dry cure technique. The treated samples (unwashed) show a very good zone of Bacteriostatics against identified bacteria. The washed sample possesses antibacterial activity upto 20 washing cycle, which depicts clearly that the acrylic binder used for finishing retains the antibacterial activity of the agent.

85. Keywords: Interlining – Motor cycle – Helmet – Bacterial culture – Finish – Washing cycle.

References: 368-370 1. N. Vigneshwaran, K. Sampath, A. A. Kathe, P. V. Varadarajan and V. Prasad, “Functional finishing of cotton fabrics using zinc oxide–soluble starch nanocomposites”, Nanotech., vol. 17, pp. 5087–5095, 2006. 2. M. Saravanan and BhaarathiDhurai, “Investigation of effect of natural antibacterial agents on kitchen borne bacteria”, Int. Res. J. Pharm., vol. 8, no. 7, pp. 119-125, 2017. 3. R. Wahab, A. Mishra, S. Yun, Y. Kim and H. S. Shin, “Antibacterial activity of ZnO nanoparticles prepared via non-hydrolytic solution route”, ApplMicrobiolBiotechnol, vol. 87, pp. 1917–1925, 2010. 4. M. Saravanan and BhaarathiDhurai, “Food contamination caused by textiles in homes and their possible remedy: An analysis”, Int. Res. J. Pharm., vol. 8, no. 9, pp. 127-135, 2017. 5. Wang and C. Wang, “The antibacterial finish of cotton via sols containing quaternary ammonium salts”, J. Sol-Gel Sci. Technol., vol. 50, pp. 15–21, 2009. 6. M. Saravanan and BhaarathiDhurai, “Necessity of a safe antibacterial finish for Kitchen textiles”, Eco. Env. & Cons., vol. 24, no. 2: pp. 400-404, 2018. 7. F. Zhang, W. Xiaolan, Y. Chen and H. Lin, “Application of silver nanoparticles to cotton fabric as an antibacterial textile finish”, Fibers and Polymers, vol. 10, no. 4, pp. 496-501, 2009. Authors: Nagarathinam S, Shanthi D Paper Title: High Performance Baugh-Wooley Multiplier Using HPM Abstract: This paper proposes a high speed multiplier designusing VHDL (Very High Speed Integrated Circuits Hardware Description Language). In Booth multiplier multiplication process is done by both encoding and decoding. The Baugh-Wooley algorithm is performing signed multiplication and two’s complement. In both modified Baugh-Wooley and 86. modified Booth recoded multiplier the critical path delay has been reduced by using HPM tree concept and the speed is enhanced. Here the design of 8-bit Modified Baugh-Wooley multiplier and Booth multiplier has been designed and 371-375 implemented byconventional method and also using High-Performance Multiplier Reduction tree (HPM) method. The speed of Modified HPM Baugh-Wooley operation is increased by appending ripple carry adder. The results are evaluated and synthesized using Xilinx ISE 14.7and Spartan 6 device has been chosen for simulation.

Keywords: HPM tree, FPGA, VHDL, Ripple carry adder, Xilinx, Modified Baugh-Wooley multiplier.

References: 1. T. Prabhu, V. Madhubala, and M. Mahalakshmi, “SURVEY OF VLSI MULTIPLIERS,” pp. 1490–1496. 2. M. Själander and P. Larsson-Edefors, “The Case for HPM-Based Baugh-Wooley Multipliers,” no. 8, p. 16, 2008. 3. E. Engineering, “An Efficient Baugh-WooleyArchitectureforBothSigned& Unsigned Multiplication,” Int. J. Comput. Sci. Eng. Technol., vol. 3, no. 4, pp. 94–99, 2012. 4. T. Mounika, T. Sammaiah, and G. Babu, “Design of High Performance Baugh Wooley,” vol. 3, no. 12, pp. 203–215, 2016. 5. M. Sj??lander and P. Larsson-Edefors, “High-speed and low-power multipliers using the Baugh-Wooley algorithm and HPM reduction tree,” Proc. 15th IEEE Int. Conf. Electron. Circuits Syst. ICECS 2008, pp. 33–36, 2008. 6. K. D. C. Dandade and P. R. Indurkar, “Design of High Speed 16-Bit Vedic and Booth,” vol. 5, no. Viii, 2017. 7. R. Kumar and P. Kumar, “An Efficient Baugh-Wooley Multiplication Algorithm for 32-bit Synchronous Multiplication,” vol. 1, no. 2, pp. 28–31, 2014. 8. J. Antony and J. Pathak, “Design and implementation of high speed baughwooley and modified booth multiplier using cadence RTL,” Int. J. Res. Eng. Technol., vol. 3, no. 8, pp. 56–63, 2014. 9. Ravi, 3K.Srinivasa Reddy UdariNaresh, “Implementation of Modified Booth Encoding Multiplier for signed and unsigned 32 bit numbers,” IOSR J. Electron. Commun. Eng., vol. 9, no. 4, pp. 50–58, 2014. 10. P. R. Loya, “Low Power Booth Multiplier Using Radix-4 Algorithm On FPGA,” vol. 3, no. 7632, pp. 7632–7636, 2014. 11. Sureshkumar N, K.Paramasivam,“Bypassing-Based Multiplier Design: ATutorial and Research Survey”,International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.29 (2015) pp:22606-22613. 12. S.Chitra, Dr.K.Paramasivam,“Design Adiabatic Logic Cells ForEfficientPower Reduction AndArea Characteristics”, International Journal Of Systems, Algorithms & Applications,Volume 2, Issue 11, November 2012, IssnOnline: 2277-2677. 13. L.Latha, K.Gayathri Devi, “ A New Approach To Image Retrieval Based On Sketches Using Chamfer Distance” Journal Of AdvancedResearch In Dynamical And Control Systems, Vol. 9- Sp– 6 / 2017,Pp1959-1968. 14. ShijiShajahan And A. Vasuki, “A BroadbandingMicrostrip Patch Antenna Using Electromagnetic Band Gap Structures”, International Journal Of Pure And Applied Mathematics, Volume 116 No. 11 2017, 71-79. 15. M.Jothi Kumar, 2chitravalavan,” Implementation Of Blake Algorithm Using Pipelining In Fpga International Journal Of Innovations In Scientific And Engineering Research (Ijiser), Vol 1 Issue 12 Dec 2014,Pp488-493. 16. Bonetti, A. Teman, P. Flatresse, and A. Burg, “Multipliers-Driven Perturbation of Coefficients for Low-Power Operation in Reconfigurable FIR Filters,” IEEE Trans. Circuits Syst. I Regul. Pap., vol. 64, no. 9, pp. 2388–2400, 2017. 17. Kiran and N. Prashar, “FPGA Implementation of High Speed Baugh- Wooley Multiplier using Decomposition Logic,” pp. 2–7. 18. R. V. M. Tech and M. S. S. Sri, “Design and Implementation of FPGA Radix-4 Booth Multiplication Algorithm,” vol. 3, no. 9, pp. 1067–1074, 2014. Authors: S. G. Mohanraj Paper Title: Escaped Dreams: Man’s Ecstasy Versus Nature’s Agony Abstract: Human beings have generally acted the role of the pioneer species in this planet, focusing only on their survival through the destruction of all their competitors and thereby achieving effective dominance over other life forms. As a result of this anthropocentric arrogance, resource depletion and species extinction have gone beyond bounds and the planet today exists in a sickly state. W. S. Merwin, the former poet laureate of the United States and two times Pulitzer Prize winner, has written a number of poems insisting on man’s mutual relationship with nature. Moving beyond that, Merwin, in anger and desperation, reacts vehemently to this self-centered nature of man through his poems. He constantly addresses the various forms of interferences that human beings make into the naturally existing ecological systems— methodical deforestation, hunting for pleasure, hunting for profit, extensive fishing, domesticating animals, inappropriate technological advancement, urbanization and so on. Merwin directly accuses man for being the root cause for the shrinking of natural resources and pushing various plant and animal species to the verge of extinction. Merwin’s intimacy with the natural world is also prominent in his poems and he appreciates the quality of life rather than aiming for higher standards of living.

Keywords: W. S. Merwin, ecocriticism, ecopoetry, nature writing, depletion, extinction

References: 87. 1. Bryson Scott J, Ecopoetry: A Critical Introduction, Utah University Press, Salt Lake City. 2. Buell Lawrence (2005), The Future of Environmental Criticism: Environmental Crisis and Literary Imagination, Blackwell Publishers, Malden. 3. Kern Robert (2003) “Ecocriticism: What is it Good for?”, The ISLE Reader: Ecocriticism, 1993-2003, Georgia University Press, London, pp. 258- 376-380 281. 4. McKibben Bill (2008), American Earth: Environmental Writing since Thoreau, Literary Classics of US, New York. 5. Meeker Joseph W (1996), “The Comic Mode”, The Ecocriticism Reader: Landmarks in Literary Ecology, University of Georgia Press, Athens, pp. 155-169. 6. Merwin William Stanley (1997), Flower and Hand: Poems 1977-1983, Copper Canyon Press, Washington. 7. Merwin William Stanley (2005), Migration: New and Selected Poems, Copper Canyon Press, Washington. 8. Merwin William Stanley (2010), W.S.Merwin at Poets House on The Life of the Imagination, Youtube. 9. Merwin William Stanley (1988), Selected Poems, Atheneum Books, New York. 10. Merwin William Stanley (2013), The Collected Poems of W. S. Merwin, Lib. of America, New York. 11. Merwin William Stanley (1967), The Lice, Atheneum Books, New York. 12. Merwin William Stanley (1993), The Second Four Books of Poems, Copper Canyon Press, Washington. 13. Merwin William Stanley (1996), The Vixen, Alfred A. Knopf, New York. 14. Moe Aaron (2012), “Zoopoetics: A Look at Cummings, Merwin, and the Expanding Field of Ecocriticism”, Humanimalia: A Journal of Human/Animal Interface Studies, Vol. 3, No. 2, pp. 28-55. 15. Stocking Marion K (2010), Review of Book Migration: New and Selected Poems and Present Company by W. S. Merwin, Beloit Poetry Journal, JSTOR. 16. Sumathy U (2009), Ecocriticism in Practice, Sarup Publishers, New Delhi. 17. Thompson Roger (2002), “Emerson, Divinity and Rhetoric in Transcendalist Nature Writing and Twentieth Century Ecopoetry”, Ecopoetry: A Critical Introduction, Utah University Press, Salt Lake City, pp. 29-38. 18. Watson Captain Paul (2009), “We Need to Stop Eating the Oceans”, www.seashepherd.org.au. 19. right Kit, “Song of the Whale”, www.wilderspin.net.

Authors: J. SRIKALA 88. Paper Title: Acquisition of English Language through Creative Writing and Literature Abstract: Literature is an creative twist of expression of he paramount that is known of the world .It is a 381-383 documentation of man’s dream and principles, his hopes and objective , his failures and disenchantment, his motives and fervour ,his knowledge and interpretation ,his affirmation and struggle. The study deals with the process of teaching English language through creative writing through Literature. The purpose of the study focuses on how English language could be taught through creative writing through Literature. Language acquisition by itself is a self involved stactivity based on interests of the students. It is evident that students are imbibed with multiple intelligence and language learning becomes easy when it is focused on theminds creativity. In the Indian context the Mother Tongue Influence(MTI) creates a major barrier for English language learning. The methodology used is the Direct Method of teaching, as the native speaker finds it difficult inlearning the target language-English.Therefore a study based on use of Literature and creative writing is used for better research prospective.

Keywords: (MTI) ,Literature,Direct, stactivity, Literature, knowledge

References: 1. http://www.calstatela.edu/dept/chem/chem2/Active/main.htm 2. http://classiclit.about.com/od/literaryterms/g/aa_w hatisliter.htm 3. http://www.communicationtalk.com/listening-skills-development.html Authors: R. Myvizhi, S. Indira Paper Title: Low Cost Embedded Based Flood Detection and Warning System Abstract: Current problem in developing countries is flood which is more dangerous and harmful to human beings. When flood occurs transmitter unit detects flood levels such as safe, medium and risk. In medium and risk situation different alert siren signals. Warning communities of the incoming flood provides an effective solution to this by giving people sufficient time to evacuate and protect themselves and their property. The cost of the project is very low and effective method for real time applications.

Keywords: Encoder and Decoder Unit, Float sensor, Microcontroller, RF Transmitter, RF Receiver

References: 1. B. Banksa, T. Harmsa, S. SedighSarvestania, & F. Bastianinib. A Low-Cost Wireless System for Autonomous Generation of Road Safety Alerts. 89. Missouri University of Science and Technology, USA, 2007 . 2. ALERT Systems Organization, “Alert history,” http://www.alertsystems.org. 3. J. Panchard, S. Rao, T. Prabhakar, H. Jamadagni, and J.-P. Hubaux, “Common-sense net: Improved water management for resource-poorfarmers via 384-385 sensor networks,” in ICTD ’06: Proceedings of the InternationalConference on Information and Communication Technologies and Development, May 2006, pp. 22–33. 4. Sohraby, K., Mindi, D., &Znati, T. Wireless sensor network technology, protocols, and application. London: John Wiley & Sons Inc. Publication, 2007. 5. M. Castillo-Effen, D. H. Quintela, R. Jordan, W. Westhoff, and W. Moreno, “Wireless sensor networks for flash-flood alerting,” in Proceedings of the Fifth IEEE International Caracas Conference onDevices, Circuits and Systems. IEEE, Nov 2004, pp. 142–146. 6. F. Hossain, N. Katiyar, Y. Hong, and A. Wolf, “The emerging role of satellite rainfall data in improving the hydro-political situation of flood monitoring in the under-developed regions of the world,” Journal ofNatural Hazards, vol. 43, pp. 199–210, March 9 2007. 7. Sheikh Azid, Bibhya Sharma, Krishna Raghuwaiya, Abinendra Chand, Sumeet Prasad, SMS based flood monitoring and early warning system, ARPN Journal of Engineeringand Applied Science, 10(15) 2015. 8. S. K. Subramaniam, V. R. Gannapathy, S. Subramonian et al., “Flood level indicator and risk warning system for remote location monitoring using flood observatory system,” WSEAS Transactions on Systems and Control, vol. 5, no. 3, pp. 153-163, 2010. 9. Martinis, A. Twele, and S. Voigt, “Towards operational near real-time flood detection using a split-based automatic thresholding procedure on high resolution TerraSAR-X data,” Natural Hazards and Earth System Sciences, vol. 9, pp. 303-314, 2008. Authors: HakimaFathi Mahamoud, Raja Rajeswari Ponnusamy, Ho Ming Kang, Jacob Sow Tian You Paper Title: Improving the Process of Identifying Internally Displaced Persons Using Big Data Technologies Abstract: This data-driven project is systematically contributing on enhancing the conflict-violence or disaster-related displacement within an internationally recognized state border, namely internal displacement. With the availability of a training set with pre-defined categories, the project tackles document classification and information retrieval applications through supervised machine learning. This research can be divided into three core objectives. Firstly to eradicate non- relevant documents by filtrating documents not in English and not providing information on human mobility related to internal displacement. Secondly, to tag documents relatively to the themes Internal Displacement Monitoring Centre (IDMC) used to monitor the causes behind internal displacement, notably conflict/violence or disasters. Thirdly, to extract vital displacement information reported in online sources, such as location, displacement figures, etc. Documents are further analysed by training them using Support Vector Machine for tagging and Multinomial Naïve Bayes for information extraction, added to the pre-processing operations such as mainly working on natural language processing annotators, since 90. the training set is mainly composed of textual documents. Finally, after having adjusted the parameters and learning, the performance of each of the resulting functions, notably Support Vector Machine and Multinomial Naïve Bayes on the 386-391 training set, were measured on two different test sets, one for tagging and the other for information retrieval. By evaluating the provided dataset, the results were good with a result of 95.83% for classification and 81% for information retrieval.

Keywords: document classification, information retrieval, Support Vector Machine, Multinomial Naïve Bayes

References: 1. Asplet, M., (2013). Internal Displacement:Responsibility and Action, Inter Parliamentary Union. 2. Baal, N. & Ronkainen, L., 2017. Obtaining representative data on IDPs: challenges and recommendations, UNHCR the UN Refugee Agency. 3. Bijalwan, V., (2015). Machine learning approach for text and document mining, Uttarakhand Technical University Dehradun: Uttarakhand. 4. European Commission, (2017). Forced displacement: refugees, aslyum-seekers and internally displaced persons (IDPs), s.l.: European Comission. 5. General Assembly, (2016). Protection of and assistance to internally displaced persons, s.l.: United Nations. 6. IDMC, 2017. Internal Displacement Mentoring Centre: Displacement in the Context of Conflict and Violence. [Online] Available at: http://www.internal-displacement.org/internal-displacement/context-of-displacement/conflict-and-violence/ [Accessed 15 July 2017]. 7. Joachims, T., (2012). Text Categorization with Support Vector Machines: Learning with Many Relevant Features, Dortmund: Universitat Dortmund. 8. Lee, Y., (2010). Support Vector Machines for Classification: A Statistical Portrait, Ohio: The Ohio State University. 9. Veropoulos K., Campbell C. & Cristianini, N., (1999). Controlling the Sensitivity of Support Vector Machines, In: Proceedings of the International Joint Conference on AI, pp. 55 – 60. Authors: Siti Aishah Shah Bani, Norhisham Mohamad Nordin, Hafizul Fahri Hanafi Exploring the Conceptual Framework in E-Magazine Portal Development in Malaysia: A Case Study on Paper Title: Media Glam Abstract: Information technology has become the core of the current development in the 21st century. Beyond the digital era, the development and usage of electronic reading materials have evolved along with the current country development in terms of information technology and communication. The online magazine published by Media Glam Sdn. Bhd. such as Eternity and Kitchen Online magazine, on its own is seen as one of the new media medium and it should be given attention accordingly especially for diversifying the local reading materials. Today, the usage of the e-magazine is an innovative way of seemly with current generation reading style in gaining information.This phenomenon becomes more vibrant with the development achieved in computer technology, internet and multimedia advancements.This research main purpose is to present the new conceptual framework for the digital publishing and the development of the e-magazine industry through Media Glam portal. It outline underpinning conceptual framework, review key literature and identify challenges and issues involved in balancing main elements in the process of e-magazines development and publication. Therefore, it is hoped that this study has presented some insights and directions for future research about e-magazine industry in Malaysia

Keywords: New media, electronic publishing, e-magazine, digital

References: 1. Abdullah, F. & Ahmad Ishak, MS. 2016. KesanPerkembanganTeknologiterhadapIndustriPenerbitanBuku di Malaysia. Malaysian Journal of Media Studies, Volume 18, N. 2, 71-86. 2. ArisB., Subramaniam M.&ShariffudinRS. (2002). RekaBentukPerisianMultimedia.Skudai, Johor DarulTakzim: UniversitiTeknologi Malaysia. 3. Beckett, R. (2003). Communication Ethics: Principle and Practice. Journal of Communication Management, Vol. 8, No. 1, 41-52. 4. Borgman C.L. (2003). From Gutenberg to the Global Information Infrastructure: Access to Information in the Networked World. United State: Mit 91. Press. 5. Carreiro, E. (2010). Electronic Books: How Digital Devices and Supplementary New Technologies are changing the Face of the Publishing Industry.Publishing Research Quarterly,26, 219–235. 392-397 6. Day, R. (2001). Reading the Future. Popular Mechanics, 178 (4), 82-85. 7. Ellen V. Hage. (2005). E-book Technology: The Relationship between Self-efficacy and Usage Levels across Gender and Age. 8. Flood, A. (2016). Ebook Sales Falling for the First Time, Finds New Report, The Guardian. Retrieved from https://www.theguardian.com/books/2016/feb/03/ebook-sales-falling-for-the-first-time-finds-new-report 9. Hasim, M. S. (2002). MengenaliUndang-undang Media danSiber. Kuala Lumpur: Utusan Publications and Distributors. 10. Hillesund, T. (2005). Digital Text Cycles: From Medieval Manuscripts to Modern Markup. Journal of Digital Information, 6(1). 11. Hofstetter, F. (1995). Multimedia Literacy. New York: McGraw-Hill. 12. Inouye, A. S., (2016). What´s in Store for E-Books? American Libraries Magazine. Accessed April 10, 2017. 13. Godwin-Jones, R. (2003). E-Books and the tablet PC. Language, Learning & Technology, Vol. 7, No. 1: 4. 14. Gilbert, R. (2015). E-Books: A Tale of Digital Disruption. Forthcoming, Journal of Economic Perspectives, 29 (3): 165-184. 15. Greco, A. N., Milliot, J., & Wharton, R. M. (2014). The Book Publishing Industry (3rd ed.). New York: Routledge 16. Lebert, M. (2011). EBooks: 1998 – The First ebook Readers. Project Gutenberg News. Accessed November 9, 2017. 17. McFall, R. (2005). Electronic Textbooks that Transform How Textbooks are Used. The Electronic Library, 23 (1). 18. Milliot, J. (2012). E-books Market Share at 22%, Amazon Has 27%. Publishers Weekly, 259(45), 6. 19. Mustafa K Anuar. (2008). Media Commercialisation in Malaysia. Free Markets, Free Media? Reflections on The Political Economy of the Press in Asia, 124-136 20. Nash R. (2010). Publishing 2020. Publishing Research Quarterly, 26, 114–118. 21. NikAzisNik Pa. (2003). PenggunaanTeoridanKerangkaTeoridalamPenyelidikanPendidikan 22. Matematik.JurnalMasalahPendidikan, Volume 26, No. 1. 23. Ozarslan, Balaban, &Demiray. (2012). TOJDE: Electronic Publishing and a Review of Ten Years' Experience in Turkey. Turkish Online Journal of Distance Education, Volume 13, No 3, 316-346. 24. Paul Singh. (2012). ASEAN Ebook Conference. Kuala Lumpur: Malaysia 25. Rebora, A. (2013). In a Digital Age, Print Books Find Favor with Young People. Inside HigherEd. 26. Snowhill, L. (2001). E-books and their Future in Academic Libraries. D-Lib Magazine, 10 (7). 27. Thompson, B. (2005). Books in the Digital Age, Cambridge: Polity Press Ltd. Authors: Komati Munusamy, Thilageswary Arumugam Relationship between Individual Beliefs, Arousal and Usage of Online Knowledge Sharing Technology Paper Title: among Academicians in Malaysian Research Universities Abstract: The aim of this study is to investigate the relationship of individual beliefs, arousal, and usage of online knowledge sharing technology. These factors were examined as determinants that influence the academic staffs’ adoption and usage of online knowledge sharing technology in the context of research universities in Malaysia. To do so, the study integrated technology acceptance model with hedonic consumption model as the theoretical model for understanding the acceptance and usage of online knowledge sharing technology. The study aimed at contributing to the insufficient research 92. on arousal as an element of emotion that may influence the usage of online knowledge sharing technology to support knowledge sharing. The study was empirically evaluated using quantitative data from a sample of 321 academics from five research universities. Relevant information was collected through online survey submitted to all the chosen academics from 398-401 the five research universities. The result indicates that individual beliefs (perceived usefulness and perceive ease of use) and arousal are predictors of usage of online knowledge sharing technology. The finding of the study contributes both to the academic research, by making available to scholars on the empirical evidence on the element of arousal as an additional determinant in the TAM model that influences the usage of online knowledge sharing technology.

Keywords: Individual Beliefs, Perceived Usefulness, Perceived Ease of Use, Arousal, online Technology.

References: 1. Al-Busaidi, K., &Olfman, L. (2014, April). Knowledge Workers’ Attitude Toward Inter-Organizational Knowledge Sharing System In The Education Sector. In Proceedings of the 19 th UKAIS Conference on Information Systems, Oxford, England. 2. Altbach, P. G. (2009). Peripheries and centers: Research universities in developing countries. Asia Pacific EducationReview, 10(1), 15-27. 3. Amin, H. (2007). Extending the technology acceptance model for SMS banking: Analyzing the gender gap among students. International Journal of Business and Society, 8(1), 15. 4. Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the association for information systems, 8(4), 3. 5. Balubaid, M. A. (2013). Using web 2.0 technology to enhance knowledge sharing in an academic department. Procedia-Social and Behavioral Sciences, 102, 406-420. 6. Bruner, G. C., & Kumar, A. (2005). Explaining consumer acceptance of handheld Internet devices. Journal of business research, 58(5), 553-558. 7. Byrne, B. M. (2013). Structural equation modeling with AMOS: Basic concepts, applications, and programming. (2nd Ed.). Routledge. 8. Celik, H. (2008). What determine Turkish customers’ acceptance of internet banking? International Journal of Bank Marketing 26 (5). 353-370. 9. Chau, P. Y., & Hu, P. J. H. (2001). Information technology acceptance by individual professionals: A model comparison approach*. Decision sciences,32(4), 699-719. 10. Chen, F. F., Sousa, K. H., & West, S. G. (2005). Teacher's corner: Testing measurement invariance of second-order factor models. Structural equation modeling, 12(3), 471-492. 11. Chen, H. R., & Tseng, H. F. (2012). Factors thatinfluence acceptance of web-based e-learning systems for the in service education of junior high school teachers in Taiwan. Evaluation and program planning, 35(3), 398-406. 12. Chen, C. J., & Hung, S. W. (2010). To give or to receive? Factors influencing members’ knowledge sharing and community promotion in professional virtual communities. Information & Management, 47(4), 226-236. 13. Chen, I. Y., Chen, N. S., &Kinshuk. (2009). Examining the factors influencing participants’ knowledge sharing behavior in virtual learning communities. Journal of Educational Technology & Society, 12(1), 134-148. 14. Cheung, G. W., &Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural equation modeling,9(2), 233-255. Cheung, R., Vogel, D. (2013). Predicting user acceptance of collaborative technologies: an extension of the technology acceptance model for e-learning. Computer. Educ. 63, 160–175 15. Childers, T.L., Carr, C.L., Peck, J. and Carson, S. (2001). Hedonic and utilitarian motivations foronline retail shopping behavior”, Journal of Retailing. 77 (4). 511-35. 16. Chow, M., Herold, D. K., Choo, T. M., & Chan, K. (2012). 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The adoption of information and communications technology (ICT) for effective knowledge management in the small and medium industry in Malaysia. Asian Journal of Information Technology, 5(1), 28-33. 64. Zawawi, A. A., Zakaria, Z., Kamarunzaman, N. Z., Noordin, N., Sawal, M. Z. H. M., Junos, N. M., &Najid, N. S. A. (2011). The study of barrier factors in knowledge sharing: A case study in public university. Management Science and Engineering, 5(1), 59. Authors: Millen Kabikile Stima, Mudiarasan Kuppusamy Paper Title: Graduates and Entrepreneurship in Tanzania: A Literature Review Abstract: High unemployment rate has continued to be a great concern worldwide, especially in developing countries. Tanzania is facing high unemployment rate while encountering slow economic growth due to low rate of entrants in entrepreneurship. Finding the solution to such main problem within the country, the government opted to encourage graduates to be involved in entrepreneurship by providing entrepreneurial education during their high education level and financial and non-financial resources to individuals that are starting small and medium sized businesses. However, there is a low rate of graduates’ involved in entrepreneurship as the majority opt to be employed by other people or organisations. In this paper, there is further discussion as to some general reasons that discourage or prevent graduates to be involved in entrepreneurship. Furthermore, in aligning to educated individual that need to be encouraged into entrepreneurship, related theories Balanced Scorecard and Life Cycle theory have been included. The two theories can be used to examine why graduates are lacking in the involvement in entrepreneurship, since the balanced scorecard consist of elements that are needed for a business to perform better, whereas those elements have to perform well in life cycle stages for a business to achieve the growth stage and perceived as a successful business.

Keywords: Entrepreneurship, graduates, small and medium sized businesses

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New evidence for Europe.Small Business Economics 42 (2) (2014) 283-295 Authors: Wajeeha Ali, Siva Muthaly, Morakinyo Dada Adoption of Shariah Compliant Peer-To-Business Financing Platforms by Smes: A Conceptual Strategic Paper Title: Framework for Fintechs in Bahrain Abstract: FinTechs (Financial Technology Firms) are affecting the financial industry, especially that there are many customers moving away from traditional banks and going to FinTech solutions to fulfil their financial needs. These FinTechs provide financial products and services using different technologies covering various financial areas including lending/ financing. For instance, Peer-to-Business (P2B) financing platforms are one of FinTech solutions which has been growing rapidly in the past few years making many governments setting regulations to cater this trend.Bahrain is one of the countries that has issued number of regulations for FinTech activities including for Shariah Compliant P2B financing platforms. These types of platforms shall provide Islamic financing solutions for SMEs. However, as a new financial solution in the market it is expected to face some challenges in term SMEs adoption. Therefore, this research aims at building a conceptual framework for the strategic framework for FinTechs in Bahrain. The framework is built based on different sources of academic literature in domain space of Islamic Finance and FinTech (Islamic FinTech), in addition to theories like Technology Acceptance Model and Unified Theory of Acceptance and Use of Technology. The framework 94. variables will be examined through mixed research method approach covering case study, semi-structured interviews, and an online survey. The research outcome shall be a strategic framework for FinTechs in Bahrain to ensure the adoption of 407-412 SMEs to these platforms.

Keywords: FinTech, P2B lending, SMEs, Islamic Finance

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Organizations use quality as a basis to meet the standard performance of their internal and external requirements. Nevertheless, the needs of the external standards, such as those of the customers,’ are more important than those of the internal. In addition, the needs or aspects that should be satisfied in “quality” vary from one industry to another. Later, organizations swayed their interest to providing quality service, which has become a sensitive term over the years. The study mainly emphasisesonlong debated comparison is made between the SERVPERF and SERVQUALmodels. Even so, this concept has not been used to define the organisational performance, though the measure has previously been used to measure different aspects of quality output. The various service quality models analyzed and the meaning of service quality is discussed. This review is based on the healthcare industry. 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(2004). Hospital service quality: a managerial challenge. International Journal of Health Care Quality Assurance, 17(3), 146-159. 18. Cronin Jr, J. J., & Taylor, S. A. (1994). SERVPERF versus SERVQUAL: reconciling performance-based and perceptions-minus-expectations measurement of service quality. The Journal of Marketing, 125-131. 19. Cronin, J. J., Jr., & Taylor, S. A. (1992). Measuring Service Quality: A Reexamination and Extension. Journal of Marketing, 56(3), 55–68. 20. Donabedian, A. (1988). The Quality of Care: How Can It Be Assessed? JAMA, 260(12), 1743–1748. 21. Donabedian, A. (1980). Methods for deriving criteria for assessing the quality of medical care. Medical care review, 37(7), 653. 22. Duggirala, M., Rajendran, C., & Anantharaman, R. N. (2008). Patient-perceived dimensions of total quality service in healthcare. Benchmarking: An International Journal, 15(5), 560–583. 23. Elleuch, A. (2008). Patient satisfaction in Japan. 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The adoption of technology orientation in healthcare delivery: Case study of a large-scale hospital and healthcare system’s electronic health record. International Journal of Pharmaceutical and Healthcare Marketing, 4(4), 355–374. 29. Kapoor, B. P. (2011). Why quality in healthcare? MJAFI, 67(3), 206–208. 30. Padma, P., Rajendran, C., & Sai, L. P. (2009). A conceptual framework of service quality in healthcare: Perspectives of Indian patients and their attendants. Benchmarking: An International Journal, 16(2), 157–191. 31. Parasuraman, A. (2010). Service productivity, quality and innovation: Implications for service-design practice and research. International Journal of Quality and Service Sciences, 2(3), 277–286. 32. Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1991a). Refinement and reassessment of the SERVQUAL scale. Journal of retailing, 67(4), 420. 33. Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1991b). Understanding customer expectations of service. Sloan Management Review, 32(3), 39-48. 34. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49(4), 41–50. 35. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). Servqual. Journal of Retailing, 64(1), 12–40. 36. Rad, A. M. M. (2005). A survey of total quality management in Iran: Barriers to successful implementation in health care organisations. Leadership in Health Services, 18(3), 12–34. 37. Ramsay, J., Campbell, J. L., Schroter, S., Green, J., & Roland, M. (2000). The General Practice Assessment Survey (GPAS): tests of data quality and measurement properties. Family Practice, 17(5), 372-379. 38. Rashid, W. E. W., & Jusoff, H. K. (2009). Service quality in health care setting. International Journal of Health Care Quality Assurance, 22(5), 471– 482. 39. Rust, R. T., & Oliver, R. L. (1993). Service Quality: New Directions in Theory and Practice. SAGE Publications. 40. Seth, N., Deshmukh, S. G., & Vrat, P. (2005). Service quality models: a review. International Journal of Quality & Reliability Management, 22(9), 913–949. 41. Tucker, J.L. and Adams, S.R. (2001). Incorporating patients' assessments of satisfaction and quality: An integrative model of patients' evaluations of their care. Managing Service Quality, 11(4), 272‐287. 42. Tomes, A. E., & Chee Peng Ng, S. (1995). Service quality in hospital care: the development of an in-patient questionnaire. International journal of health care quality assurance, 8(3), 25-33. 43. Wang, I., & Shieh, C. J. (2006). The relationship between service quality and customer satisfaction: the example of CJCU library. Journal of Information and Optimisation Sciences, 27(1), 193–209. Authors: F. K.Musweu, T. Velmurugan, Leena Jenefa Paper Title: Access to Finance and Funding Practice in Zambia Abstract: Access to finance is critical to the improvement of a country’s economy. Government and companies are in constant need of funding to produce and provide the most desirable consumer goods and services. This article focuses on the factors that have an impact on access to finance in Zambia. The article details the description of access to finance and the specific factors that have an impact on access to finance in Zambia namely Financial infrastructure, Credit reporting, Credit rating, The Payment and Settlement System, Small and Medium Scale Enterprises (SMEs), Mobile Banking, Agricultural and Rural Finance, gender and finance and Financial Capability.The details in this article is entirely collected through secondary research, specifically from scholarly articles banking and finance, various text books inbanking and 96. finance and journals from professional bodies. The paper is focused on the factors that have an impact on access to finance with emphasis on Zambian institutions, although general commentaries from various areas on the continent of Africa are 419-422 also included in the article.

Keywords: Access to finance, Agriculture and Rural finance, Gender and finance, Financial capability, The Payment and Settlement system, Mobile banking, Small and Medium Scale Enterprises, Credit reporting, Credit rating, information asymmetries.

References: 1. Bain, A.D. (1992) The Economics of the Financial Systems. Blackwell Publishers Ltd 2. Brealey, R.A., S.C. Myers and F. Allen (2008) Principles of Corporate Finance. Boston, London: McGraw-Hill/Irwin, Tenth edition. 3. Colin Firer, Stephen A. Ross, Randolph W. Westerfield and Bradford D. Jordan (2004) 4. Fundamentals of Corporate Finance. McGraw-Hill Education. 3rd Edition. 5. Freixas, X. and J.C. Rochet (2008) Microeconomics of Banking. The MIT Press 6. Grinblatt, M. and S. Titman (2002) Financial Markets and Corporate Strategy. McGraw-Hill/Irwin, 2002), Second edition. 7. Heffernan, S.(2005 Modern Banking in Theory and Practice. John Wiley and Sons. 8. Saunders, A. and M.M. Cornett (2007) Financial Institutions Management: a Risk Management Approach. McGraw-Hill/Irwin, Sixth edition 9. Sinkey, J.F.(2002) Commercial Bank Financial Management in the Financial-Services Industry. Pearson Education. 10. Saunders, A. and M.M. Cornett (2007) Financial Institutions Management: a Risk Management Approach. McGraw-Hill/Irwin. 11. Siklos, Pierre (2001). Money, Banking, and Financial Institutions: Canada in the Global Environment. McGraw- Hill Ryerson. 12. Sullivan, Arthur; Steven and M. Sheffrin (2003). Economics: Principles in action. Pearson Prentice Hall. 13. G. Caprio and R. Levince (2004), Bank regulation and supervision: what works best? Journal of Financial Intermediation. 14. The Zambia daily mail newspaper. 15. www.ifad.org. Authors: R. Judithpriya, M. Maheshwari, G. Lakshmi A Study on Assessment of the Life-Style Features of Customers’ Towards Various Leading Textile Paper Title: Showrooms in Coimbatore City Abstract: The clothing retail industry in Coimbatore city of Tamilnadu is one such industry which is characterized by intensifying competition from both local and national companies leading to rise in more sophisticated and demanding customers. Consequently, retailers today aims to differentiate themselves by outperforming their competitors. Clothing has identities and images, and consumers seek those apparels that match their self-image or the image they would like to project to others. The clothing retail industry in Coimbatore city of Tamilnadu is one such industry which is characterized by intensifying competition from both local and national companies leading to rise in more sophisticated and demanding customers. This research paper analysis assess the life style features of the customers’ towards various leading textile 97. showrooms in Coimbatore City.

Keywords: Frequency distribution, Clothing, Empiracal Analysis 423-427

References: 1. Aaker David, 2000, “Building strong brands”. The Free Press, 2. New York Annu Ristola and Jari Salo (2005) “Factors Affecting Consumer Choice of Mobile Phones” Journal of Euro marketing, Vol. 14(3) http://www.haworthpress.com/web/JEM 3. Bernhard, Gernot Wörther, Michael Weber, and Michaela Denk (2006) “An STP-Approach Focused on Customer Preferences for Mobile Business Applications” EC3 – E-Commerce Competence Center, Prolytic, University of Vienna, Austria 4. Brown, K., Mcllveen, H. and Strugnell, C., (2000), Nutritional awareness and food preferences of young consumers in Northern Ireland, Nutrion. and Food Science, 30 (4/5) : 230-235. 5. Dr (Mrs.) D.Kamalaveni and Dr.Ms.S.Kalaiselvi (2006); "Buying decisions of mens’ shirts": single brand show rooms vs Authors: Fancy Joy, V. Vijaya kumar Paper Title: A Review on Multiple Object Detection and Tracking in Smart City Video Analytics Abstract: Moving object detection and tracking are the two important challenging tasks in the smart city video analytics system.It is challenging due to occlusion, presence of shadows, cluttering, dynamic background, noise etc.Detection of moving objects, tracking, object matching across multi-camera, and re-identification are the basic steps of multi cameravideo analytics system.Multiple object detection and tracking in smart city video analytics can be developed according to appropriateness of society such as intelligent surveillance, smart parking, traffic monitoring, vehicle navigation, smart healthcare etc. The goal of this paper is to analyze and review various approaches towards multiple object tracking.

Keywords: Object detection, object tracking, video analytics, multi camera surveillance.

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Gamage,Jayanthu G. Samarawickrama and A.A. Pasqual, GPU based non overlapping multi-camera vehicle tracking, IEEE 2014. 40. TianchengLi,Juan M. Corchado,Shudong Sun , Javier Bajo, Clustering for filtering: Multi-object detection and estimation 41. using multiple/massive sensors,Information sciences pp.172-190,Elsevier,2017. 42. VijayakumarVelusamy,Mini T.V,A novel framework for mining suspicious activities in surveillance videos, in proceedings of WREFER international conference,2017. 43. Wei Quan, Jim X. Chen, and Nanyang Yu, Mesh-Shrink: Real-Time Fast Moving Object Tracking with Sporadic Occlusion, International Journal of Future Computer and Communication, Vol. 2, No. 3, 2013. 44. Xin Li KejunWang,Wei Wang and Yang Li, A Multiple Object Tracking Method Using KalmanFilter,in IEEE International Conference on Information and Automation,2010. 45. YingkunHou and DinggangShen,Imagedenoising with morphology and size adaptive block matching transform domain filtering,Eurasip journal on image and video processing,vol-2018,no-1,2018. 46. Yuqian Li and GuangdaSu,Simplified histogram oriented feature extraction algorithm for hardware implementation, in International conference on computers, communications, and system,2015. 47. Zheng-Jun Zha,Meng Wang, Yan- Tao Zheng, Yi Yang, Richang Hong and Tat-Seng Chua, Interactive Video Indexing With Statistical Active Learning, IEEE Transactions On Multimedia, Vol. 14, No. 1, 2012. Authors: F. Catherine Tamilarasi, J. Shanmugam Paper Title: Artificial Intelligence – Deep Learning ased Cognitive Ontology Model Abstract: NeuroImaging and Artificial Intelligence (AI) are two big technology oceans. Machine learning and Deep learning are subfields of AI with numerous customized tools facilitating a statistically driven NeuroImage data analysis and accurate disease prediction. This paper suggests a Cognitive Ontology model driven by Machine and Deep learning based analysis on functional Magnetic Resonance Image (fMRI) data

Keywords: Artificial Intelligence, Deep Learning, Neural Networks, Machine learning, Scikit learn

References: 99. 1. Gael Varoquaux and Bertrand Thirion, Talma Hendler2, Rainer Goebel3, and Giancarlo Valente3, “How machine learning is shaping cognitive neuroimaging" HAL Id: hal-01094737 https://hal.inria.fr/hal-01094737 Submitted on 12 Dec 2014 433-435 2. Stephen C Strother, “Review of Preprocessing Steps for BOLD fMRI”, IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE MARCH/APRIL 2006, https://www.researchgate.net/publication/238722988 3. Fayyaz Ahmad1, Iftikhar Ahmad, Waqar Mahmood Dar, “Identification and classification of voxels of human brain for rewardless-related decision making using ANN technique” 4. Natural Computing Applications Forum 2016, DOI 10.1007/s00521-016-2413-6 5. Tristan Moreau* and Bernard Gibaud 6. ,” Ontology-based approach for in vivo human connectomics: the medial Brodmann area 6 case study”, April 2015 , volume 9 Article 9, doi: 10.3389/fninf.2015.00009 7. Nakai T1, Bagarinao E, Tanaka Y, Matsuo K, Racoceanu D,” Ontology for FMRI as a biomedical informatics method”, 8. Magn Reson Med Sci. 2008;7(3):141-55 9. Bhaskar Sen, Neil C. Borle, Russell Greiner, Matthew R. G. Brown,” A general prediction model for the detection of ADHD and Autism using structural and functional MRI”, PLOS ONE | https://doi.org/10.1371/journal.pone.0194856 April 17, 2018 10. Umang Gupta, Santanu Chaudhury,” Deep Transfer Learning with Ontology for Image Classification”, 978-1-4673-8564-0/15/$31.00 c2015 IEEE. 11. burak velio˘glu, “multi-subject brain decoding using deep learning techniques”, august 2016, a thesis submitted to the graduate school of natural and applied sciences of middle east technical university 12. rushil anirudh and jayaraman j. thiagarajan,” bootstrapping graph convolutional neural networks for autism spectrum disorder classification”, Conference: Presented at: Machine Learning for Health Care, Boston, MA, United States, Aug 18 - Aug 19, 2017 Authors: G. Saravanan, Muthunagai. K Paper Title: Some constraints for the Struve function to belong to certain subclasses of Analytic functions Abstract: The objective of the present article is to obtain some constraints that are sufficient for the generalized Struve functions of first kind to belong to the subclasses , and to study the inclusion properties

Keywords: Analytic functions, Struve functions, Generalized

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Keywords: LBP Features; PCA Dimensionality Reduction; SVM classifier; Gabor Wavelets; Computer Vision; HCI.

References: 1. S L Happy, Aurobinda Routray, "Automatic facial expression recognition using features of salient facial patches", IEEE Transactions on Affective Computing, Volume: 6 , Issue 1, pp. 1-12, 2015. 101. 2. Akram Alsubari, D. N. Satange, R. J. Ramteke, "Facial expression recognition using wavelet transform and local binary pattern", 2nd International Conference for Convergence in Technology (I2CT), pp. 338-342, 2017. 444-448 3. Liu Y., Li Y., Ma X., Song R., "Facial Expression Recognition with Fusion Features Extracted from Salient Facial Areas", Sensors, Vol. 17, 712, 2017. 4. Muzammil Abdurrahman, Alaa Eleyan, "Facial expression recognition using Support Vector Machines”, 23rd IEEE Conference on Signal Processing and Communications Applications Conference (SIU), 16-19 May 2015, Malatya, Turkey, 2015. 5. H. Nguyen, K. Kotani, F. Chen, B. Le, "Estimation of Human Emotions Using Thermal Facial Information", proc. of Fifth International Conference on Graphic and Image Processing, vol. 9069, pp. 1-5, 2014. 6. Borui Zhang, Guangyuan Liu, Guoqiang Xie, "Facial expression recognition using LBP and LPQ based on Gabor wavelet transform", 2016 2nd IEEE International Conference on Computer and Communications (ICCC), pp. 365-369, 2016. 7. Bilel Ameur, Sabeur Masmoudi, Amira Guidara Derbel, Ahmed Ben Hamida,"Fusing Gabor and LBP feature sets for KNN and SRC-based face recognition, 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), pp. 453-458, 2016. 8. Xiaohua Wang, Chao Jin, Wei Liu, Min Hu, Liangfeng Xu, Fuji Ren, "Feature fusion of HOG and WLD for facial expression recognition", Proceedings of the 2013 IEEE/SICE International Symposium on System Integration, pp. 227-232, 2013. 9. Gang Bai, Wanhong Jia, Yang Jin, "Facial Expression Recognition Based on Fusion Features of LBP and Gabor with 10. LDA", 2nd International Congress on Image and Signal Processing, pp. 1-5, 2009. 11. Mangala B.S Divya, N.B Prajwala,"Facial Expression Recognition by Calculating Euclidian Distance for Eigen Faces Using PCA", International Conference on Communication and Signal Processing (ICCSP), pp. 244-248, 2018. 12. Sukanya Sagarika Meher, Pallavi Maben, "Face recognition and facial expression identification using PCA", IEEE International Advance Computing Conference (IACC), pp. 1093-1098, 2014. 13. Prashant Shakyawar, Pkumar Choure, Upendra Singh,"Eigenface 14. method through through facial expression recognition", International conference of Electronics, Communication and Aerospace Technology (ICECA), Volume: 2, pp. 500-505, 2017. 15. Biao Yang, Jinmeng Cao, Rongrong Ni, Yuyu Zhang, "Facial Expression Recognition Using Weighted Mixture Deep Neural Network Based on Double-Channel Facial Images", IEEE Access, Volume: 6, pp. 4630-4640, 2018. 16. Pedro M. Ferreira, Filipe Marques, Jaime S. Cardoso, Ana Rebelo, "Physiological Inspired Deep Neural Networks for Emotion Recognition", IEEE Access, Volume: 6, pp. 53930-53943, 2018. 17. Kaihao Zhang, Yongzhen Huang, Yong Du, Liang Wang, "Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks", IEEE Transactions on Image Processing, Volume: 26 , Issue: 9, pp. 4193-4203, 2017. 18. Huibin Li, Jian Sun, Zongben Xu, Liming Chen, "Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network", IEEE Transactions on Multimedia, Volume: 19 , Issue: 12, pp. 2816-2831, 2017. 19. G. Ramkumar, E. Logashanmugam, "An effectual facial expression recognition using HMM", International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), pp. 12-15, 2016. 20. Guojiang Wang, "Facial Expression Recognition Method Based on Zernike Moments and MCE Based HMM", 9th International Symposium on Computational Intelligence and Design (ISCID), Volume: 2, pp. 408-411, 2016. 21. Boulbaba Ben Amor, Hassen Drira, Stefano Berretti, Mohamed Daoudi, Anuj Srivastava, "4-D Facial Expression Recognition by Learning Geometric Deformations", IEEE Transactions on Cybernetics, Volume: 44 , Issue: 12, pp. 2443-2457, 2014. 22. Mangala B.S Divya, N.B Prajwala, "Facial Expression Recognition by Calculating Euclidian Distance for Eigen Faces Using PCA", International Conference on Communication and Signal Processing (ICCSP), pp. 0244 - 0248, 2018. 23. P. Ekman, and W. Friesen, “Facial Action Coding System: A Technique for the Measurement of Facial Movements”, Cosulting Psychologists Press, California, 1978. 24. M. Pantic, M. Valstar, R. Rademaker, and L. Maat, “Web-Based Database for Facial Expression Analysis,” 2005 IEEE Int. Conf. Multimed. Expo, pp. 317–321, 2005. 25. P. Lucey, J.F. Cohn, T. Kanade, J. Saragih, Z. Ambadar and I. Matthews, "The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression", in the Proceedings of IEEE workshop on CVPR for Human Communicative Behavior Analysis, San Francisco, USA, 2010. Authors: A. Pradeep Kumar Paper Title: Ultrasonic flaw signal Classification based on Curvelet transform and Support Vector Machine Abstract: This paper presents the classification of ultrasonic flaw signal with the use of curvelet transform method and support vector machine. The curvelet transform as a not merely to achieve time frequency manifestation of signal, but also to be used for curvelet signal decomposition and successive parameter assessment. Faults are detected by using a digital flaw detecting method which is considered as the primary tool to obtain the carbon fiber signals as an unbreakable polymer sample with de-lamination and de-bonding. Discrete curvelet transform can be computed ultrasonic signals in time domain by enlightening features are extracted from signals of curvelet coefficients. Finally, SVM chosen by dissimilar techniques are in use as input and train by the classifier. So the kernel function has been checking the data with combination of SVM parameters. Experimental outcome prove the validation and verification of flaw signal with curvelet transform and SVM tool, it deals with classification for ultrasonic signals utmost accurately.

Keywords: Curvelet transform, SVM, Ultrasonic flaw signals, Kernel function 102. References: 449-453 1. Lee K and Estivill Castro V.,” Feature extraction and gating techniques for ultrasonic shaft signal classification”, Applied Soft Computing, 7(1), PP: 156-165, 2007. 2. Kyungmi Lee,” Feature extraction schemes for ultrasonic signal processing”, Vth International Conference on Computer Sciences and Convergence Information Technology, PP:366-372, 2010. 3. Ahmed Yamani, Mohamed Deriche,” Automatic Detection of High Temperature Hydrogen Attack defects from Ultrasonic A-scan Signals”, IVth Middle East NDT Conference and Exhibition, PP:58-61, 2007. 4. Rajkumar R.,”Pipeline Defect Detection Using Support Vector Machines”, 6th International Conference on Circuits, Systems, Electronics, Control and Signal Processing, PP: 162-168, 2007. 5. Vaclav Matz and Marcel Kreidl,"Classification of ultrasonic signals”, International Journal of Materials and Product Technology, 27(3-4), PP: 145- 155, 2006. 6. Cacciola M, and Morabito F.,” Computational intelligence aspects for defect classification in aeronautic composites by using ultrasonic pulses,” IEEE Transactions on Ultrasonic’s, Ferroelectrics and Frequency Control, 55(4), PP: 870-878, 2008. 7. Subhani Shaik and Dr. Uppu Ravibabu, "Detection and Classification of Power Quality Disturbances Using curvelet Transform and Support Vector Machines", 5th IEEE International Conference on Information Communication and Embedded System, 2016. 8. Subhani Shaik and Dr. Uppu Ravibabu "Curvelet based Signal Detection for Spectrum Sensing using Principal Component of Analysis", in the 2nd IEEE International Conference on Engineering and Technology, PP: 917 - 922, 2016. Authors: N. Deepak, Ch. Rajendra Prasad, S.Sanjay Kumar Paper Title: Patient Health Monitoring using IoT Abstract: At present in hospitals, based on patient health condition they need to check regularly. If there is sudden change in their patient health condition, it is not immediately known to the healthcare professional. So, to overcome that we are using health sensors and with the help of these sensors gradually changes occurring in patient health condition are known. These sensors are attached to human body and that sensors will monitor patient health condition from time to time. In this paper, we are proposing how patient gradually changing health condition is monitored by healthcare professional 103. who is nearer to the patient and who is distant from the patient also. 454-457 Keywords: Sensors (Pulse sensor, Temperature sensor, MEMS sensor), Wireless modules (Bluetooth module and GPRS module), Cloud computing, IoT.

References: 1. Sufiya S Kazi, Gayatri Bajantri, Trupti Thite “Remote Heart Rate Monitoring System Using IoT”, Int. Research Jr of Eng. & Technology (IRJET), Vol: 05 Issue: 04, 2018, pp- 2956-2963. 2. Mendoza, Daniel; Gaona-García, Paulo Alonso; Vargas, Fredy; Montenegro, Carlos. “Communication Infrastructure for Monitoring Heart Rate of Patients on the Cloud using IoT Devices” Int. Info. Institute (Tokyo). Info. ; Koganei Vol. 21, Iss. 1, (Jan 2018): 131-138. 3. K.Haripriya;CH.M.Aravind;V.Karthigayen,“Patienthealth monitoring System using IoT & Cloud Based Processing,” Indian Jr. of Science & Tech. , Vol. 9(S(1)), Dec 2016. 4. K. Barath reddy and Ch. Rajendra prasad, “ The embedded Web server based Electrical Ethernet Monitoring system using ARM,” Int. Jr. of Adv. Research in Comp. & Comm. Engg. Vol. 2, Issue 5, 2013, pp. 2292-2295. 5. K. Chen ; S. Sharma ;A. Sheth,“Toward Practical Privacy-Preserving Analytics for IoT & Cloud-Based Healthcare Systems,” IEEE Internet Computing ,Vol: 22 , Issue: 2 , Mar./Apr. 2018. pp.42-51. 6. Himadri nathsaha, neha Firdaush raun, Maitrayeesaha, “Monitoring patient’s health with smart ambulance syatem using IoT,” 2017 8th Annual Industrial Automation & Electromech. Engg. Conf. (IEMECON), pp. 91-95, 2017. 7. Siddharth A. Kokalki, Akshay R. Mali, Pawan A. Mundada, ritesh H. Sontakke, “Smart health band using IoT,” 2017 IEEE ICPCSI, pp. 1683-1687, 2017. 8. Vikas Vippalapalli, Snigdhaananthula, “Internet of Things based smart health care systems,” 2016 Int. Conf. on signal Processing, Comm. , power & Embedded System (SCOPES). Pp. 1229-1233, 2016. 9. Sirwan kajornkasirat, napat Chanapai, benjawan Hnusuwan, “Smart health monitoring with IoT,” 2018 IEEE Symposium on Computer Apps & industrial Electronics (ISCAIE), pp. 206-211, 2018. 10. Ayaskanta Mishra1, Akanksha Kumari, “Remote web based ECG monitoring using MQTT protocol for IoT Health care” Int. Jr. of Adv. Engg. & Research Development, Vol 5, Issue 04, April -2018. pp:1096-1101. Authors: Syed Musthak, Ahmed, Ayesha yasmeen, B.Jagadeesh Babu Paper Title: Wheelchair with Auto Navigation for Adults with Physio and Cognitive impairments Abstract: Nowadays most of the family members are engaged in some job or outside activity. This has led to less attention towards the aged adults and provides necessary attention for their physical, mental and social activities. The proposed work provides assistance to the aging adults to take up their work independently with physical activities without any assistance and support of family members. The implementation is carried out using electro-mechanical devices and incorporating current technology to develop a Durable Medical Equipment (DME) embedded with few physiotherapy modules to take up self-dependent activities such as physical exercise home necessities and medicine reminders and so on. At present, there is no such system deployed with such facilities to aged adults. The system developed will assist to monitor DME dependent patients with minimum infrastructure, monitored automatically from the workplace. It automatically reminds of information about the time-based requirements such as taking of Medicine and Food by incorporating (RTC) Real Time Clock. The navigation of wheelchair is provided using ARM processor to interface i2c protocol with MEMS sensor. Vibrating motors and mechanical accessories are fixed onto the wheelchair that assists in taking care of physiotherapy exercises, for muscles and bones strengthening. Cognitive impairments can be developed by setting some images on screen and asking them to identify. Based on the response obtained from them we are able to identify the mental status also. All these activities can be monitored by the family member from their work places besides keeping a watch for any emergency needs.

Keywords: Wheel chair with geared motors, Physiotherapy operation, Cognitive operation, MEMS, DME, simulation.

104. References: 1. Mohanraj and S.Siddarth, “A framework for tracking system aiding disabilities”, IEEE International Conference on Current Trends in Advanced Computing (ICCTAC), pp.1-7, 2007. 458-462 2. P. Doshi Siddharth, Shripad Deshpande, “ Embedded system design for real-time interaction with Smart Wheelchair”, Symposium on Colossal Data Analysis and Networking (CDAN) , pp.1-4, 2016. 3. Rajesh Kannan Megalingam, Clarion Chacko, Binu P. Kumar, Ashwin G. Jacob, P. Gautham, “Gesture controlled wheel chair using IR-LED TSOP pairs along with collision avoidance”, International Conference on Robotics and Automation for Humanitarian Applications (RAHA) , pp.1- 7,2016. 4. R. C. Simpson, E. F. LoPresti, R. A. Cooper, "How many people would benefit from a smart wheelchair?", Journal of Rehabilitation Research and Development, vol. 45, no. 1, pp. 53-71, 2008. 5. R. A. Braga, M. Petry, L. P. Reis, A. P. Moreira, "Intellwheels: Modular development platform for intelligent wheelchairs", Journal of Rehabilitation Research and Development, vol. 48, no. 9, pp. 1061-1076, 2011. 6. Richard C. Simpson, "Smart wheelchairs: A literature review", Journal of Rehabilitation Research & Development, vol. 42, no. 4, pp. 423-436, 2005. 7. Richard C. Simpson, Simon P. Levine, "Voice Control of a Powered Wheelchair", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 10, no. 2, June 2002. 8. R.L. Madarasz, L.C. Heiny, R.F. Cromp, N.M. Mazur, The design of an autonomous vehicle for the disabled. IEEE J. Robotics and Automation, vol. 2, no. 3, pp. 117-126, 1986. 9. Ding Dan, Rory A. Cooper, "Electric powered wheelchairs", IEEE Control Systems Magazine, pp. 22-34, 2006. 10. G. Bourhis, K. Moumen, P. Pino, S. Rohmer, A. Pruski, "Assisted navigation for a powered wheelchair", Systems Engineering in the Service of Humans: Proceedings of the IEEE International Conference on Systems Man and Cybernetics, pp. 553-558, vol.3,1993 11. P. Mallet, J.M. Pergandi, "WAD Project where Attractor Dynamics aids wheelchair Navigation", IEEE/RSJ International. Conference on Intelligent Robots and systems, pp. 690-695,vol.1, 2002. 12. S.V. Diaz, C.A. Rodriguez, F. Diaz, Del Rio, A.C. Balcells, D.C. Muniz, "Tetranauta: a intelligent wheelchair for users with very severe mobility restrictions", Proc. of the International Conference on control applications,vol.2, pp. 778-783, 2002. 13. The official RASPBERRY PI PROJECTS BOOK 14. Arukonda Siddartha , V. Mahesh, “An Experimental Investigation of Divergent Thinking Abilities In Engineering Design Activity”, Elk Asia Pacific Journal of Mechanical Engineering Research, vol.1, Issue 2, 2015 Authors: M. Anusha, S. JHA Paper Title: Embedded Secured Authentication and Speed Limiting in Various Zones with Alert System Abstract: This framework primarily used to decrease the speed of the vehicles and increase the life of individuals from mishaps. Anyway it is minimal effort, adaptable, and strong framework to persistently screen and control dependent on buyer prerequisites, since it has low-control qualities, which empower it to be generally utilized in various zones. The goal 105. of this is to reduce the speed of vehicles in different zones by utilizing a processor. And also a change is utilized to perceive the mischances. The speed of the vehicle can be diminished by utilizing ARM7 controller, ZIGBEE, IR sensors, GPS and 463-467 GSM. Here we likewise utilizing Pulse rate observing, temperature and alcohol sensors are utilized to recognize the individual wellbeing pulse rate condition, temperature of vehicle and detects a person alcoholic or not, which make the environment as pollution free and also could able get the safety of the driver. Any issue with respect to the pulse rate condition or Vehicle condition sends the data to approved people through SMS. At the point when a vehicle goes into a busy zones, the IR sensors will recognize the vehicle and reduce the speed of the vehicle, Entry and exit status at the zones will show on the LCD. By sending a SMS through the cell phone to GSM which is put in vehicle we could capable of find the area of vehicle utilizing GPS. It will be extremely valuable when vehicle was theft;we could likewise stop the vehicle by sending SMS.

Keywords: VANET, IR Sensor’s, ZIGBEE, GSM and GPS

References: 1. Benliang Li, Houjun Wang, Bin Yan and Chijun Zhang, “The Research of Applying Wireless Sensor Networks to Intelligent Transportation System IT Based On IEEE 802.15.4”, 6th International Conference on ITS Telecommunications Proceedings, pp. 939-942, 2006. 2. Y. Cui and S. S. Gee, “Autonomous vehicle positioning with GPS in urban canyon environments; IEEE Transactions on Robotics and Automation”, vol. 19, pp. 110, 1 February2003. 3. Amiya Kumar Tripathy, Sejal Chopra, Samantha Bosco, Srinidhi Shetty, FirdosSayyed “Travolution-An Embedded System in Passenger Car for Road Safety” International Conference on Technologies for Sustainable Development 2015. 4. D.Narendar Singh, Ravi tejach.v “Vehicle Speed Limit Alerting and Crash Detection System at Various Zones “International Journal of Latest Trends in Engineering and Technology. 5. D.Nikitha And P.Anuradha, “Driver Assistance and Safety System for Car”, International Journal of Scientific Engineering and Technology Research held on September, 2016 pg.no 5518-5524, ISSN 2319-8885, Vol 5 Issue 27. 6. Vehicle location finder using Global position system and Global System for Mobile MF Saaid, M.A. Kamaludin, M.S.A Megat Ali, 2014 IEEE 5th Control and System Graduate Research Colloquium(ICSGRC). 7. Hybrid GPS-GSM Localization of Automobile Tracking System Mohammad A. Al-Khedher, International Journal of Computer Science & Information Technology (IJCSIT) Vol 3, No 6, Dec 2011. 8. The global positioning system: a shared national asset: recommendations for technical improvements and enhancements. National Academies, National Research Council, U.S.A., 2013. Authors: V.N. Lakshmana Kumar, M. Satyanarayana, S.P. Singh Paper Title: Design of Microstrip Antenna Array for Improvement of FBR Using Partial Ground Plane Technique Abstract: In this paper, improvement of front to back ratio (FBR) for rectangular microstrip array antenna is discussed by using the partial ground plane technique. A four-element rectangular microstrip antenna array is designed for X-band frequency of 9.1GHz, with a peak gain of 10.09dBi and front to back ratio of 13.72dB. By optimizing the ground plane, the FBR has improved to 38.42dB at 9.1GHz for 75% of the full ground plane. The FBR has also improved to 42.58dB, 46.57dB at 9GHz, 8.9 GHz respectively. The Peak gains have improved by 0.28dB compared to the peak gains with full ground plane. The 3dB gain bandwidth has also improved by 114 MHz compared to bandwidth with full ground plane. The simulations are carried using HFSS software. A good agreement between simulated and measured results is observed.

Keywords: Front to back ratio, Microstrip antenna, Radiation efficiency, Sidelobe level, Surface waves.

References: 1. Eduardo S. Silveira, Daniel C. Nascimento, and Alexis F. Tinoco-S., “Design of Microstrip Antenna Array with Suppressed Back Lobe,” Journal of Microwaves, Optoelectronics and Electromagnetic Applications, vol. 16, no. 2, 2017, pp. 460-470. 2. Waqas H. Syed, Andrea Neto, “Front-to-Back Ratio Enhancement of Planar Printed Antennas by Means of Artificial Dielectric Layers,” IEEE transactions on antennas and propagation, vol. 61, no. 11, november 2013, pp. 5408-5416. 3. Wei Liu, Zhi Ning Chen and Xianming Qing, “Stripline Aperture Coupled Metamaterial Mushroom Antenna with increased Front-to-Back Ratio”, 2014 IEEE Antennas and Propagation Society International Symposium (APSURSI), July 2014, pp. 444-445. 4. Boon-Kok Tan, Stafford Withington and Ghassan Yassin, “A Compact Microstrip-fed Planar Dual-Dipole Antenna for Broadband Applications,” IEEE Antennas and Wireless Propagation Letters, vol. 15, 2016, pp. 593-596. 5. I. Govindanarayanan and N. Rangaswamy, “Asymmetric folded dipole antenna with high front-to-back ratio for LTE base stations,” IEEE Antennas 106. and Wireless Propagation Letters, vol. 15, 2016, pp. 869-872. 6. M. C. Tang and R. W. Ziolkowski, “Efficient, high directivity, large front-to-back ratio, electrically small, near-field-resonant-parasitic antenna,” IEEE Access, vol. 1, 2013, pp. 16-28. 468-473 7. Y. Ranga, L. Matekovits, K. P. Esselle and A. R. Weily, “Multioctave frequency selective surface reflector for ultra wideband Antennas,” IEEE Antennas and Wireless Propagation Letters, vol. 10, 2011, pp. 219-222. 8. S. Mohamad, R. Cahill and V. Fusco, “Performance of Archimedean spiral antenna backed by FSS reflector,” Electronics Letters, vol. 5, no. 1, 2015, pp. 14-16. 9. R. V. S. Krishna and R. Kumar, “Slotted ground microstrip antenna with FSS reflector for high-gain horizontal polarization,” Electronics Letters, vol. 51, no. 8, 2015, pp. 599-600. 10. L. Zhang, et al., “Single-feed ultra-wideband circularly polarized antenna with enhanced front-to-back ratio,” IEEE Transactions on Antennas and Propagation, vol. 64, no. 1, 2016, pp. 355–360. 11. A.Elsherbini, J. Wu and K. Sarabandi, “Dual polarized wideband directional coupled sectorial loop antennas for radar and mobile base-station applications,” IEEE Transactions on Antennas and Propagation, vol. 63, no. 4, 2015, pp. 1505–1513. 12. Q. Xue, S. W. Liao and J. H. Xu, “A differentially-driven dual-polarized magneto-electric dipole antenna,” IEEE Transactions on Antennas and Propagation, vol. 61, no. 1, 2013, pp. 425–430. 13. S. G. Zhou, et al., “Design of a novel wideband and dual polarized magnetoelectric dipole antenna,” IEEE Transactions on Antennas and Propagation, vol. 65, no. 5, 2017, pp. 2645–2649. 14. S. Ananthi and S. Dhanasekaran, “Front-to-Back Ratio Improvement of a Microstrip Patch Antenna by using Co-Planar Rod Parasitic Elements for 1.8 GHz Wireless Applications,” International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), Aug. 2017, pp. 1610-1613. 15. DivyaChaturvedi, Arvind Kumar and SingaraveluRaghavan, “An Integrated SIW Cavity-Backed Slot Antenna-Triplexer,” IEEE Antennas and Wireless Propagation Letters, vol. 17, no. 8, Aug. 2018, pp. 1557-1560. 16. Balanis Constantine A., “Antenna Theory Analysis and design,” John Wiley &Sons, 3rd Edition, 2005. 17. Warren L. Stutzman, Gary A. Thiele, “Antenna Theory and Design,” John Wiley &Sons, 3rd Edition, 2013. 18. David M. Pozar, “Microwave Engineering,” John Wiley &Sons, 4th Edition, 2012. 19. J. Huang, “The Finite Ground Plane Effect on the Microstrip Antenna Radiation Patterns,” IEEE Transactions on Antennas and Propagation, vol. 31, no.4, 1983, pp. 649-653. Authors: V.R. Seshagiri Rao, Asha Rani. M 107. Paper Title: Redundancy Algorithm Using Line Based Method for Memories achieving Less Area Overhead Abstract: Test cost and yield improvement is becoming important parameters with the growth of memory capacity and 474-479 density. Built-in redundancy analysis (BIRA) is popularly used for embedded memories to solve yield and quality issues by removing faulty cells with available goods cells. Different BIRA approaches require different area overheads to get optimal repairs. It is difficult to get low area overhead and at the same time optimal repair rate. A new BIRA method is proposed and it uses a line-based search operation.The new BIRA reduces the storage capacity for storing faulty address data by ignoring the data of unnecessary faulty cell addresses. By using a line fail count comparison method, the proposed BIRA analyzes redundant spares quickly to get optimal repair rate. By simulation results it is verified that the proposed BIRA does the spare allocations with low area overhead.

Keywords: Built-in self-repair (BISR), built-in self-test (BIST), redundancy analysis (RA), yield improvement

References: 1. WoosikJeong, Ilkwon Kang, KyowonJin, and Sungho Kang “ A fast Built-in redundancy analysis for Memories with Optimal Repair Rate Using a Line-Based Search Tree” IEEE transactions on very large scale integration(vlsi) systems, vol.17, no 12, December 2009 2. Lee, H.,Kim., Cho, K., & Kang, S. (2018). Fast Built-In Redundancy Analysis Based on Sequential Spare Line Allocation. IEEE Transactions on Reliability 3. C.-T. Huang, C.-F. Wu, J.-F. Li, and C.-W. Wu, “Built-in redundancyanalysisformemoryyieldimprovement,”IEEETrans.Reliab.,vol.52, no. 4, pp. 386–399, Dec.2003. 4. S.-K.Lu,Y.-C.Tsai,C.-H.Hsu,K.-H.Wang,andC.-W.Wu,“Efficient built-inredundancyanalysisforembeddedmemorieswith2Dredun- dancy,” IEEE Trans. Very Large Scale Integr. (VLSI) Syst., vol. 4, no. 1, pp. 34–42, Jan.2006. 5. S. Bahl, “A sharable built-in self-repair for semiconductor memories with 2-D redundancy scheme,” in Proc. 22nd IEEE Int. Symp. Defect Fault- Tolerance VLSI Syst. (DFT), Sep. 2007, pp.331–339. 6. T.-W.Tseng,J. F.Li,A.Pao, K.Chiu,and E.Chen,“Are configurable built-in self-repair scheme for multiple repairable RAMs in SOCs,”in Proc. Int. Test Conf. (ITC), Oct. 2006, pp.1–9. 7. Y.-J. Huang, D.-M. Chang, and J.-F. Li, “A built-in redundancy-anal- ysis scheme for self-repairable RAMs with two-level redundancy,” in Proc. 21st IEEE Int. Symp. Defect Fault-Tolerance VLSI Syst. (DFT), Oct. 2006, pp.362–370. 8. P.Öhler,S.Hellebrand,andH.J.Wunderlich,“Anintegratedbuilt-in test and repair approach for memories with 2D redundancy,” in Proc. Eur. Test Symp. (ETS), May 2007, pp.91–96. 9. H.-Y.Lin,F. M.Yeh, and S.Y.Kuo,“ An efficient algorithmfor spare allocation problems,”IEEETrans.Reliab.,vol.55,no.2,pp.369–378, Jun.2006. 10. S.-K. Lu, Y.-C. Tsai, and S.-C. Huang, “A BIRA algorithm for em- bedded memories with 2D redundancy,” in Proc. IEEE Int. Workshop Memory Technol., Des., Test. (MTDT), Aug. 2005, pp.121–126. 11. S.-K. Lu, C.-L. Yang, and H.-W. Lin, “Efficient BISR techniques for word-oriented embedded memories with hierarchical redundancy,” in Proc. IEEE/ACIS Int. Workshop Compon.-Based Softw. Eng., Softw. Arch. Reuse (ICIS-COMSAR), Jul. 2006, pp.355–360. 12. R.-F. Huang, C.-H. Chen, and C.-W. Wu, “Economic aspect of memory built-in self repair,” IEEE Des. Test Comput., vol. 24, no. 2, pp. 164–172, Mar.2007. 13. J.R.Day,“Afault-driven compreh ensivere dundancy algorithm,”IEEE Des. Test Comput., vol. 2, no. 3, pp. 35–44, Jun.1985. 14. M.Tarr,D.Boudreau,andR.Murphy,“Defectanalysissystemspeeds test and repair of redundant memories,” Electronics, vol. 57, pp. 175–179, Jan.1984. 15. T.-W.Tseng,J.-F.Li,andD.-M.Chang,“Abuilt-inredundanc y-analy sisscheme for RAMswith 2Dre dundancyusing 1Dlocalbitmap,”in Proc. Des., Autom. Test Eur. (DATE), Munich, Germany, Mar. 2006, pp.53–58. Authors: Weng-Hooi Tan, JunitaMohamad-Saleh Paper Title: Normative Improved Artificial Fish Swarm Algorithm (NIAFSA) for Global Optimization Abstract: Optimization is an important field of research. Various optimization algorithms have been developed to solve optimization problems. Nevertheless,many have not succeeded to achieve the real global optima. Hence, a research on designing and developing a global search and optimization algorithm is presented in this paper. The aim is to enhance the performance of global and local searching strategy in term of best optimal solution. The fish swarm algorithm with the particle swarm optimization with extended memory (PSOEM-FSA) is hybridized with the normative knowledge to become a normative improved fish swarm algorithm (NIAFSA). The feature of global crossover breeding is installed into the proposed algorithm to achieve relatively consistent results. A random initialization of initial population is introduced to spread out the candidates of artificial fishes (AFs) over the solution space. In addition, parameters such as visual and step are made adaptive along the iteration process to balance the contradiction between global and local search ability. The collected results are analyzed and compared with few existing fish swarm variant algorithms to verify the performance of the proposed algorithm

Keywords: Artificial fish swarm algorithm (AFSA), adaptive visual and step, particle swarm optimization (PSO), PSO with extended memory (PSOEM), normative knowledge,global crossover 108. References: 1. A. Colomi, M. Dorigo, and V. Maniezzo, “Distributed optimization by ant colonies,” in Proceedings of the first European 480-484 Conference on artificial life, 1991, pp. 134–142. 2. M. Dorigo, G. D. Caro, and L. M. Gambardella, “Ant Algorithms for Discrete Optimization,” Artif. Life, vol. 5, no. 2, pp. 137–172, 1999. 3. R. Eberhrt and J. Kennedy, “A new optimizer using particle swarm theory,” in Proceeding of the 6th international symposium on micro machine and human science, 1995, pp. 39–43. 4. Q. Bai, “Analysis of Particle Swarm Optimization Algorithm,” Comput. Inf. Sci., vol. 3, no. 1, pp. 180–184, 2010. 5. D. Karaboga, “An Idea Based On Honey Bee Swarm For Numerical Optimization (Technical Report - TR06),” Erciyes University, Engineering Faculty, Computer Engineering Department, 2005. 6. B. Basturk and D. Karaboga, “A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (abc) algorithm,” J. Glob. Optim., vol. 39, no. 3, pp. 459–471, 2007. 7. D. Karaboga and B. Basturk, “On the performance of artificial bee colony (abc) algorithm,” Appl. Soft Comput., vol. 8, no. 1, pp. 687–697, 2008. 8. X. L. Li, Z. J. Shao, and J. X. Qian, “An optimizing method based on autonomous animates: fishswarm algorithm,” Chinese J. Syst. Eng. Pract., vol. 22, no. 11, pp. 32–38, 2002. 9. Q. Duang, D. W. Huang, and L. Lei, “Simulation analysis of particle swarm optimization algorithm with extended memory,” Control Decis. 26, vol. 7, pp. 1087–1100, 2011. 10. Q. Duan, M. Mao, P. Duan, and B. Hu, “An improved artificial fish swarm algorithm optimized by particle swarm optimization algorithm with extended memory,” Kybernetes, vol. 45, no. 2, pp. 210–222, 2016. 11. Y. Wu, X. Z. Gao, and K. Zenger, “Knowledge-based artificial fish-swarm algorithm,” in IFAC Proceedings Volumes, 2011, vol. 44, no. 1, pp. 14705–14710. 12. R. G. Reynolds and B. Peng, “Cultural Algorithms Modeling of How Cultures Learn to Solve Problems,” in Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence, 2004. 13. X. L. Li and J. X. Qian, “Studies on Artificial Fish Swarm Optimization Algorithm based on Decomposition and Coordination Techniques,” Chinese J. Circuits Syst., vol. 8, no. 1, pp. 1–6, 2003. 14. C. Zhang, F. M. Zhang, F. Li, and H. S. Wu, “Improved Artificial Fish Swarm Algorithm,” in 2014 IEEE 9th Conference on Industrial Electronics and Applications (ICIEA), 2014, pp. 748–753. 15. A. T. Salawudeen, “Development of an Improved Cultural Artificial Fish Swarm Algorithm with Crossover,” Ahmadu Bello University Zaria, Nigeria, 2015. 16. M. Mao, Q. Duan, P. Duan, and B. Hu, “Comprehensive improvement of artificial fish swarm algorithm for global MPPT in PV system under partial shading conditions,” SAGE, 2017. Authors: Urmila Bandaru, M.Siva Satyanarayana, N.Deepthi, L.Rajasekhar Goud Paper Title: Constant Flux Control N-level Drive Pplication for Industries Abstract: The two level conventional converters are slowly substituted by multilevel converters because of mitigated THD and stress reduction on power semiconductor switch. The rigorous survey performed on various industrial applications using variable speed drive with 2-level and N-level inverter lies in selecting the topology and control methods. For different applications, one control method may be suitable to avail good characteristics. In this paper, the techniques SPWM and SVPWM applied on 9-level diode clamped N-level inverter operated induction machine are compared for various industrial applications. The analysis concludes: For speed control and at high and normal MI, SPWM is preferable and at low and normal mi values, SVPWM is preferred in constant V/f method of induction machine.

Keywords: SPWM, SVPWM, SCMM, MCMM.

References: 1. Chookiat Nitayotan, Woravit Tearwattanarattikal, Surapong Suwankawin, Somboon Sangwongwanich: Enhancement of the Performance of General- Purpose V/F Inverters with Automatic Torque Boost and Automatic Adjustment Method of Acceleration/Deceleration Times, The 2005 International Power Electronics Conference, pp. 390-397. 2. Subrata K.Mondel, Bimal K.Bose, Valentine Oleschuk: Space Vector Pulse Width Modulation of Three-Level Inverter Extending Operation into 109. Overmodulation Region, IEEE Transactions on power Electronics, Vol. 18, No. 2, Mar 2003, pp. 604-611. 3. Nguyen Van.Nho, Quach Thanh Hai, Hong Hee Lee: Carrier based Single State PWM Technique in Multilevel Inverter, International Symposium on Electrical & Electronics Engineering, pp. 231-239, Oct 24,25, 2007. 485-487 4. A. Nabae, I. Takahashi, and H. Akagi: A New Neutral-Point Clamped PWM Inverter, Proceedings of the Industry Applications Society Conference, pages 761-766, September/October 1980. 5. Abdul Rahiman Beig, G.Narayanan, V.T. Ranganathan: Space Vector Based Synchronized PWM Algorithm for Three Level Voltage Source Inverters: Principles and Application to V/f Drives, IECON 02, Industrial Electronics Society, IEEE 2002 28th Annual Conference Vol. 2, pp. 1249- 1254. 6. Rathinam Angamuthu, Karthikeyan Thangavelu, Ramani Kannan: Reduction of Components in New Family of Diode Clamp Multilevel Inverter Ordeal to Induction Motor, Journal of Semiconductor Technology and Science, Vol.16, No.1, February 2016. 7. A.R.Shelar, S.M.Chaudhari: Speed Control of 3 Phase Induction Motor by using Multilevel Inverter, International Journal of Innovative Research in Advanced Engineering, Vol.1, No.12, pp.61-68, Dec2014. 8. S.Kiruthika, S.Sudarshan, M.Murugeshan, B.Jayamanikandan: High Efficiency Three Phase Nine Level Diode Clamped Multilevel Inverter, International Journal of Science and Research, Vol.1, Issue.3, December 2012, pp.120-123. 9. Abhay Kumar, Vinay Kumar Tripathi: Performance & Analysis of Grid Connected Renewable Energy System with Multilevel NPC Inverter, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, Vol. 4, Issue.6, pp.305-311, May 2016. 10. D.Surendar Arnepalli, Ch.Srinivas: Nine Level Inverter for Speed Control of Induction Motor using SPWM Technique, Global Journal of Advanced Engineering Technologies, Vol2, Issue 4, pp. 259-263, 2013. 11. N. Mohan Teja, R.S. Ravi Sankar, P. Harsha, V. Uma Shankar: A Novel Method of Diode Clamped Multi-Level Inverter using PWM Technique,International Journal of Innovative Engineering and Sciences, Volume 2, Issue 4, pp.9-12, Mar 2014. 12. www.google.com (part of Fig. 1) Authors: K.C.T. Swamy, N. Ramamurthy, Pasuluri Bindu Swetha, M.Riyaz Pasha Analysis of Multi-Frequency Multi-GNSS Real-Time Signal Observations Acquired by Septentrio PolaRx5 Paper Title: Receiver Station Abstract: Global Navigation Satellite System (GNSS) constellations such as Global Positioning System (USA), GLONASS (Russia), Galileo (European Union), BeiDou (China) transmit radio signals continuously on multiple frequencies for PNT applications on or above the globe. On the other side IRNSS(India) and QZSS (Japan) are the regional navigation systems with limited service area. The combination of multiple constellations with quality signals improves robustness and stability of position,navigation and time measurements. Hence, this research work investigates signal quality to identify strong/ important signals and geometry of the satellites for the combined use of global and regional constellations over the Indian region. Real-time signal observations of multiple GNSS were collected by ‘Septentrio 110. PolaRx5’ receiver stations installed at GPCET, Kurnool (150.47’N, 780.04’E). From the results, it is found that the user over this region can receive signals from a minimum of 60 satellites with Position Dilution of Precision (PDOP) value less 488-491 than unity.

Keywords: multi-GNSS, DOP, Carrier to noise ratio

References: 1. “GPS ICD. Global Positioning Systems Directorate System Engineering & Integration Interface Specification IS-GPS-200H; Navstar GPS Space Segment/Navigation User Interfaces”, Washington, DC, USA, 2014. 2. “GLONASS ICD. Global Navigation Satellite System GLONASS, Interface Control Document, Navigational Radio Signal in Bands L1, L2, 5.1st ed .; Russian Institute of Space Device Engineering”, Moscow, Russia, 2008. 3. “Indian Regional Navigation Satellite System SIGNAL-IN-SPACE ICD FOR SPS VERSION 1.1, ISRO-IRNSS-ICD-SPS-1.1”, August, 2017 (https://www.isro.gov.in/sites/default/files/irnss_sps_icd _version1.1-2017.pdf). 4. “Quasi-Zenith Satellite System, Performance Standard (PS-QZSS-001)”, November 5, 2018 (http://qzss.go.jp/ en/technical/download/pdf/ps-is- qzss/ps-qzss-001.pdf). 5. “International GNSS Service (IGS), RINEX Working Group and Radio Technical Commission for Maritime Services Special Committee 104(RTCM-SC104)”, July 14, 2015. 6. P. Majithiya , K. Khatrik and J. K. Hota , “ Navigation Satellite System Correction Parameters for Timing and Group Delays”, Inside GNSS, pp. 40- 46, January / February 2011. 7. Angelo Joseph, “Measuring GNSS Signal Strength, Inside GNSS ”, pp. 20-25, November/December, 2010. 8. B. Richard Langley, “Dilution of Precision”, GPS World, pp. 52-59, May 1999. 9. I. Ali , N. Al-Dhahir, J. Hershey and R. Yarlagadda, “GPS GDOP metric”, Proc. IEE: Radar, Sonar and Navigation, vol. 147(5), pp. 259-264, October 2000. 10. B. Belabbas , A. Hornbostel, M. Sadeque, H. Denks “Accuracy study of a single frequency receiver using a combined GPS/GALILEO constellation ”, Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005), Long Beach, CA, USA. pp. 1022–1033, September 13–16, 2005. 11. A. Constantinescu, R. J. Landry . “GPS/Galileo/GLONASS hybrid satellite constellation simulator-GPS constellation validation analysis”, Proceedings of the Institute of Navigation 61st Annual Meeting, Cambridge, MA, USA., pp. 733–744, June 27–29, 2005. 12. https://www.gsc-europa.eu/system-status/Constellation-Information 13. https://www.glonass-iac.ru/en/GLONASS/ 14. https://www.glonass-iac.ru/en/GPS/ 15. https://www.glonass-iac.ru/en/BEIDOU/ 16. http://sys.qzss.go.jp/dod/en/constellation.html 17. https://www.isac.gov.in/navigation/irnss.jsp Authors: Urmila Bandaru, M.Siva Satyanarayana, N. Deepthi, L.Rajasekhar Goud Paper Title: Constant Flux Control N-level Drive pplication for Industries Abstract: The two level conventional converters are slowly substituted by multilevel converters because of mitigated THD and stress reduction on power semiconductor switch. The rigorous survey performed on various industrial applications using variable speed drive with 2-level and N-level inverter lies in selecting the topology and control methods. For different applications, one control method may be suitable to avail good characteristics. In this paper, the techniques SPWM and SVPWM applied on 9-level diode clamped N-level inverter operated induction machine are compared for various industrial applications. The analysis concludes: For speed control and at high and normal MI, SPWM is preferable and at low and normal mi values, SVPWM is preferred in constant V/f method of induction machine.

Keywords: SPWM, SVPWM, SCMM, MCMM

References: 1. Chookiat Nitayotan, Woravit Tearwattanarattikal, Surapong Suwankawin, Somboon Sangwongwanich: Enhancement of the Performance of General- Purpose V/F Inverters with Automatic Torque Boost and Automatic Adjustment Method of Acceleration/Deceleration Times, The 2005 International Power Electronics Conference, pp. 390-397. 2. Subrata K.Mondel, Bimal K.Bose, Valentine Oleschuk: Space Vector Pulse Width Modulation of Three-Level Inverter 111. Extending Operation into Overmodulation Region, IEEE Transactions on power Electronics, Vol. 18, No. 2, Mar 2003, pp. 604-611. 3. Nguyen Van.Nho, Quach Thanh Hai, Hong Hee Lee: Carrier based Single State PWM Technique in Multilevel Inverter, International Symposium on Electrical & Electronics Engineering, pp. 231-239, Oct 24,25, 2007. 492-494 4. A. Nabae, I. Takahashi, and H. Akagi: A New Neutral-Point Clamped PWM Inverter, Proceedings of the Industry Applications Society Conference, pages 761-766, September/October 1980. 5. Abdul Rahiman Beig, G.Narayanan, V.T. Ranganathan: Space Vector Based Synchronized PWM Algorithm for Three Level Voltage Source Inverters: Principles and Application to V/f Drives, IECON 02, Industrial Electronics Society, IEEE 2002 28th Annual Conference Vol. 2, pp. 1249- 1254. 6. Rathinam Angamuthu, Karthikeyan Thangavelu, Ramani Kannan: Reduction of Components in New Family of Diode Clamp Multilevel Inverter Ordeal to Induction Motor, Journal of Semiconductor Technology and Science, Vol.16, No.1, February 2016. 7. A.R.Shelar, S.M.Chaudhari: Speed Control of 3 Phase Induction Motor by using Multilevel Inverter, International Journal of Innovative Research in Advanced Engineering, Vol.1, No.12, pp.61-68, Dec2014. 8. S.Kiruthika, S.Sudarshan, M.Murugeshan, B.Jayamanikandan: High Efficiency Three Phase Nine Level Diode Clamped Multilevel Inverter, International Journal of Science and Research, Vol.1, Issue.3, December 2012, pp.120-123. 9. Abhay Kumar, Vinay Kumar Tripathi: Performance & Analysis of Grid Connected Renewable Energy System with Multilevel NPC Inverter, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, Vol. 4, Issue.6, pp.305-311, May 2016. 10. D.Surendar Arnepalli, Ch.Srinivas: Nine Level Inverter for Speed Control of Induction Motor using SPWM Technique, Global Journal of Advanced Engineering Technologies, Vol2, Issue 4, pp. 259-263, 2013. 11. N. Mohan Teja, R.S. Ravi Sankar, P. Harsha, V. Uma Shankar: A Novel Method of Diode Clamped Multi-Level Inverter using PWM Technique,International Journal of Innovative Engineering and Sciences, Volume 2, Issue 4, pp.9-12, Mar 2014. 12. www.google.com (part of Fig. 1) Authors: Shaik Akbar, K.Nageswara Rao, T.Anand Paper Title: Bit-Plane Slicing Algorithm for Crime Data Security using Fusion Technologies Abstract: Security in today’s world has become a critical issue. Information should be made very secure providing access only to authorized persons. Unaccredited persons should not be given access to the data. Cyber Department is the one which in search of the innovative ideas in order to secure this crime data. Forensic Science that is an application of science plays a vital role in undertaking the investigation of crimes and criminal justice using some scientific methodologies. Also, Steganography is the skill with which the data can be hidden or protected within another data (i.e data inside data with 112. security). This paper brings out the integration of both Forensic Science and Steganography that gives rise to a hybrid technology for securing the crime data. The concept of Data embedding strengthens the Steganography method. The most 495-497 appropriate method adapted in this paper is the use of finger prints of the crime persons. These gathered finger prints are divided into eight slices by using the “Bit plane slicing” algorithm. Any official data that is in reference with the crime data is being kept in any one of these eight slices. The main theme of this proposed paper is to secure the crime data in these finger prints.

Keywords: Cyber Department, Steganography, Forensic Science, Data Embedding,Finger Prints, Bit-plane slicing algorithm.

References: 1. Andreas Westfeld and Andreas Pfitzmann. Attacks on Steganographic Systems 1999. In Proceedings of Information Hiding - Third International Workshop. Springer Verlag, September 1999. 2. Evaluation of various LSB based methods of image Steganography on GIF file format – Namita Tiwari, International Journal of Computer Applications, September 2010. 3. “Security for an Image using Bit-slice Rotation Method-image Encryption” by R.Vijayaraghavan, S.Sathya and N.R.Raajan. 4. Johnson, N.F. & Jajodia, S., “Exploring Steganography: Seeing the Unseen”, Computer Journal, February 1998. 5. Lee Yeuan-kuen et al, “An Advanced Least-Significant- Bit Embedding Scheme for Steganographic Encoding”, 5414/2009: pp. 349-360, 2009. 6. Johnson, N.F. Jajodia, S.& Duric, Z., 2001. Information hiding: steganography and watermarking – attacks and countermeasures. Kluwer academic publishers. 7. Li Zhi,Sui Ai Fen, “Detection of Random LSB Image Steganography”IEEE pp2113-2117,2004. 8. J. R. Smith and B. O. Comisky, “Modulation and information hiding in images,” in Information Hiding, First International Workshop, Lectu e Notesin Computer Science, R. Anderson, Ed. Berlin, Germany:Springer-Verlag, 1996, vol. 1174, pp. 207–226. Authors: K. Deepthi, K. Chetaswi, S. Phani Venkata Ramana, K. Anitha Reddy Paper Title: Control Strategy for Improvement of PQ in Dc Systems Incorporating PR Controller Abstract: Proportional-resonant (PR) controllers for current control are described in this paper. They are suitable for converters connected in a grid. In single phase converters, steady state error problems with PI controller are reduced with this controller. Also, with PR controllers, the selective compensation of harmonics is possible. The critical power quality issue that is degrading the performance on load side and source side is the voltage and current ripples. This causes reliability concerns. These can be overcome by using PR controller. In this paper, designing of PR current controller as a selective harmonic compensator has been presented.

Keywords: Harmonic compensation, Proportional resonant controller

References: 1. R. Teodorescu, F. Blaabjerg, M. Liserre and P.C. Loh "Proportional-resonant controllers and filters for grid-connected voltage-source converters" IEE Proc.-Electr. Power Appl., Vol. 153, No. 5, September 2006 113. 2. Ningyun Zhang *, Houjun Tang and Chen Yao “ A Systematic Method for Designing a PR Controller and Active Damping of the LCL Filter for Single-Phase Grid-Connected PV Inverters” Energies 2014 3. Q.-C. Zhong, W.-L. Ming, X. Cao, and M. Krstic, ``Reduction of DC-bus voltage ripples and capacitors for single-phase PWM-controlled rectifiers,'' 498-501 in Proc. 38th Annu. Conf. IEEE Ind. Electron. Soc. (IECON), Oct. 2012, pp. 708-713. 4. W. Choi, J.W. Howze, and P. Enjeti, ``Development of an equivalent circuit model of a fuel cell to evaluate the effects of inverter ripple current,''J. Power Sour., vol. 158, no. 2, pp. 1324-1332, Aug. 2006. 5. R. Wang et al., ``A high power density single-phase PWM rectifier with active ripple energy storage,'' IEEE Trans. Power Electron., vol. 26, no. 5, pp. 1430-1443, May 2011. 6. Y. Tang, W. Yao, P. C. Loh, and F. Blaabjerg, ``Highly reliable transformerless photovoltaic inverters with leakage current and pulsating power elimination,'' IEEE Trans. Ind. Electron., vol. 63, no. 2, pp. 1016-1026, Feb. 2016. 7. S. Wang, X. Ruan, K. Yao, S.-C. Tan, Y. Yang, and Z. Ye, ``A flickerfree electrolytic capacitor-less AC-DC LEDdriver,'' IEEE Trans. Power Electron., vol. 27, no. 11, pp. 4540-4548, Nov. 2012. 8. C. Liu and J.-S. Lai, ``Low frequency current ripple reduction technique with active control in a fuel cell power system with inverter load,'' IEEE Trans. Power Electron., vol. 22, no. 4, pp. 14291436, Jul. 2007. 9. X. Cao, Q.-C. Zhong, and W.-L. Ming, ``Ripple eliminator to smooth DCbus voltage and reduce the total capacitance required,'' IEEE Trans. Ind. Electron., vol. 62, no. 4, pp. 2224-2235, Apr. 2015. 10. S. Hara, Y. Yamamoto, T. Omata, and M. Nakano, ``Repetitive control system: A new type servo system for periodic exogenous signals,'' IEEE Trans. Autom. Control, vol. 33, no. 7, pp. 659-668, Jul. 1988. 11. G.Weiss and M. Häfele, ``Repetitive control of MIMO systems using H1 design,'' Automatica, vol. 35, no. 7, pp. 1185-1199, Jul. 1999. Authors: T. Venkata Ramana, S. A. K. Jilani Paper Title: Shape Adaptive Discrete Wavelet Transform for Denoising of Images Abstract: The image acquired from a sensor is always degraded by some form of noise. The noise can be measured and eliminated by the process of denoising the image. Recently, Shape Adaptive methods of denoising have gained popularity. The Shape Adaptive Discrete Wavelet Transform (SADWT) transforms and codes the arbitrarily-shaped regions obtained by a segmentation of the image. The arbitrary shapes preserve the edges, articrafts and produce a high quality images. The features of the SADWT’s include the number of pixels in the original visual images is same as the number of coefficients after SADWT’s, the spatial correlation, locality properties of wavelet transforms and self-similarity across sub-bands are maintained well. For a rectangular region, the SADWT is similar to the traditional wavelet transforms. In this paper, the SADWT is evaluated for various images by comparing in terms of peak signal to noise ratio and improves the signal to noise ratio.

114. Keywords: Denoising, ISNR, PSNR, Shape Adaptive Methods. 502-505 References: 1. R. Koenen, Ed., “Overview of the MPEG-4 standard,” ISO/IEC JTC/SC29/WG21, Seoul, Korea, MPEG-99-N2925, Mar. 1999. 2. Information technology—Generic coding of audio-visual objects, Part 2: Visual, ISO/IEC 14 496-2, Final Draft of International Standard, ISO/IEC JTC1-SC29-WG11, Dec. 1998. 3. MPEG-4 video verification model version 7.0, MPEG97-N1642, ISO/IEC JTC1-SC29-WG11, Apr. 1997. 4. J. M. Shapiro, “Embedded image coding using zerotrees of wavelet coefficients,” IEEE Trans. Signal Processing, vol. 41, pp. 3445–3462, Dec. 1993. 5. S. A. Martucci, I. Sodagar, T. Chiang, and Y.-Q. Zhang, “A zerotree wavelet video coder,” IEEE Trans. Circuits Syst. Video Technol., vol. 7, pp. 109–118, Feb. 1997. 6. W. Li, H. Q. Cao, S. Li, F. Ling, S. A. Segan, H. Sun, J. P. Wus, and Y.-Q. Zhang, “A video coding algorithm using vector-based techniques,” IEEE Trans. Circuits Syst. Video Technol., vol. 7, pp. 146–157, Feb. 1997. 7. S.-F. Chang and D. G. Messerschmitt, “Transform coding of arbitrarilyshaped image segments,” in Proc. 1st ACM Int. Conf. Multimedia, Anaheim, CA, 1993, pp. 83–90. 8. M. Gilge, T. Engelhardt, and R. Mehlan, “Coding of arbitrarily shaped image segments based on a generalized orthogonal transform,” Signal Processing: Image Commun., vol. 1, pp. 153–180, Oct. 1989. 9. T. Sikora and B. Makai, “Low complex shape-adaptive DCT for generic and functional coding of segmented video,” in Proc. Workshop Image Anal. Image Coding, Berlin, Germany, Nov. 1993. 10. “Shape-adaptive DCT for generic coding of video,” IEEE Trans. Circuits Syst. Video Technol., vol. 5, pp. 59–62, Feb. 1995. 11. T. Sikora, S. Bauer, and B. Makai, “Efficiency of shape-adaptive 2-D transforms for coding of arbitrarily shaped image segments,” IEEE Trans. Circuits Syst. Video Technol., vol. 5, pp. 254–258, June 1995. 12. M. Bi, S. H. Ong, and Y. H. Ang, “Comment on “Shape-adaptive DCT for generic coding of video”,” IEEE Trans. Circuits Syst. Video Technol., vol. 6, pp. 686–688, Dec. 1996. Authors: L.Ramamurthy, S.Vardarajan Paper Title: Hybrid Algorithms Based on Transforms for Denoising Satellite Images Abstract: The image acquired from a sensor is always degraded by some form of noise. The noise can be estimated and removed by the process of denoising. Recently, the use of Hybrid Algorithms for denoising have gained popularity. The most commonly used transformation are Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). DCT has the property of more energy compaction and requires less resources for computational whereas DWT is a multiresolution transformation. The proposed Hybrid Algorithms take advantage of both of the algorithms and this reduces the false contouring and blocking articrafts effectively. In this paper, the Hybrid Algorithms are evaluated for various images by comparing in terms of Mean Square Error, Peak Signal to Noise Ratio, Coefficient of Variance, Structural Similarity Index and Mean Structural Similarity Index.

Keywords: CV, Denoising, MSE, PSNR, SSIM, MSSIM.

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