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www.ijeat.org Exploring Innovation Volume-8 Issue-2S, December 2018, ISSN: 2249-8958 (Online) S. No Published By: Blue Eyes Intelligence Engineering & Sciences Publication Page No.

Authors: D.Rajalakshmi, R.Mahalakshmi, K.Praveenraj A Novel Eleven-Level Inverter Employing One Voltage Source and Reduced Components as High Paper Title: Frequency AC Power Source Abstract: This work is based on a multi-level inverter novel te chnique for multilevel output voltage. The implementation of this topology is built on capacitor switching method and the output levels count is calculated from the sum of capacitor switching cells. One DC voltage source or from solar panel is used and the capacitor voltage balancing problem can be avoided .This model can be enhanced with higher rating and also it has simple gate driver circuit due to reduced number of switches. Operating norm of this multilevel inverter and modulation techniques are also presented and performance of the inverter with existing technology is also discussed with proposed work. The proposed eleven level multilevel inverter is modeled using Matlab/simulink and results are presented, also compared with existing reduced level inverter topology.

Keywords: Multi level inverter, AC power source, simulation

References: 1. T. A. Meynard and H. Foch, “Multi-level conversion: High voltage choppers and voltage-source inverters,” in Proc. IEEE 23rd Annu. Power Electron. Spec. Conf., Jun. 29–Jul. 3, 1992, vol. 1, pp. 397–403 2. J. Drobnik, “High frequency alternating current power distribution,” Proceedings of IEEE INTELEC, pp. 292-296, 1994. P. Jain, H. Pinheiro, “Hybrid high frequency AC power distribution architecture for telecommunication systems,” IEEE Trans. Power Electron., vol. 4, no.3, Jan. 1999. 3. B. K. Bose, M.-H. Kin and M. D. Kankam, “High frequency AC vs. DC distribution system for next generation hybrid electric vehicle,” in Proc. IEEE Int. Conf. Ind. Electron., Control, Instrum, (IECON), Aug. 5-10,1996, vol.2, pp. 706-712. 4. J. Rodriguez, J. S. Lai and F. Z. Peng, “Multilevel inverters: A survey of topologies, control, and applications,” IEEE Trans. Ind. Electron., vol. 49, no. 4, pp. 724–738, Dec. 2002 5. R. Strzelecki and G. Benysek, Power Electronics in Smart Electrical Energy Networks. London, U.K., Springer-Verlag, 2008. 6. Babaei, “A cascade multilevel converter topology with reduced number of switches,” IEEE Trans. Power Electron., vol. 23, no. 6, pp. 1. 2657-2664, Nov. 2008. 7. S. Chakraborty and M. G. Simões, “Experimental Evaluation of Active Filtering in aSingle-Phase High-Frequency AC Microgrid,” IEEE Trans. Energy Convers., vol. 24, no. 3, pp. 673-682, Sept. 2009. 1-6 8. Zixin Li, Ping Wang, Yaohua Li, and Fanqiang Gao, “A Novel Single-Phase Five-Level Inverter With Coupled Inductors,” IEEE Trans. Power Electron., vol. 27, no. 6, pp. 2716–2725, Jun. 2012. 9. M. Ben Smida and F. Ben Ammar, “Modeling and DBC-PSC-PWM Control of a Three-Phase Flying-Capacitor Stacked Multilevel Voltage Source Inverter,” IEEE Trans. Ind. Electron., vol. 57, no. 7, pp. 2231–2239, Jul. 2010. 10. Y. Hinago and H. Koizumi, “A Switched-Capacitor Inverter Using Series/Parallel Conversion With Inductor Load,” IEEE Trans. Ind. Electron., vol. 59, no. 2, pp. 878-887. Feb. 2012. 11. Sepahvand, Jingsheng Liao, M. Ferdowsi, K.A. Corzine, “Capacitor Voltage Regulation in Single-DC-Source Cascaded H-Bridge Multilevel Converters Using Phase-Shift Modulation,” IEEE Trans. Ind. Electron., vol. 60, no. 9, pp. 3619-3626, Sep. 2013. 12. J. Pereda, J. Dixon, “Cascaded Multilevel Converters: Optimal Asymmetries and Floating Capacitor Control,” IEEE Trans. Ind. Electron., vol. 60, no. 11, pp. 4784-4793, Nov. 2013. 13. J. Liu, K. W. E. Cheng and J. Zeng, “A Unified Phase-shift Modulation for Optimized Synchronization of Parallel Resonant Inverters in High Frequency Power Distribution System.” IEEE Trans. Ind. Electron., vol. 61, no. 7, pp. 3232,3247, Jul. 2014. 14. Y. Ye, K. W. E. Cheng and J. Liu, “A Step-Up Switched-Capacitor Multilevel Inverter With Self-Voltage Balancing,” IEEE Trans. Ind. Electron., vol. 61, no. 12, pp. 6672-6680. Dec. 2014 15. Buticchi, D. Barater, E. Lorenzani, C. Concari and G. Franceschini, “A Nine-Level Grid-Connected Converter Topology for Single- Phase Transformerless PV Systems,” IEEE Trans. Ind. Electron., vol. 61, no.8, pp. 3951- 3960, Aug. 2014. 16. D.Rajalakshmi,.“GA optimized converter topologies for PV system integrated with Microgrid”Asian Journal of Information Technology, vol. 15, no. 3, pp. 493-503, 2016 17. R. Kavitha et al., (2008)“Implementation of Novel Low Cost Multilevel DC-Link Inverter with Harmonic Profile Improvement “,Asian Power Electronics Journal, Vol. 2, No. 3, PP- 158-162. 18. D.Rajalakshmi,et al.,”A novel integrated approach of wind energy conversion systems With optimized matrix converter fed grid under different loadConditions “, International Journal of Pure and Applied Mathematics ,Vol 117 No. 8, pp -73-77, 2017. 19. K.S.Priyanka, G.Ravikumar,” Fake Biometric Detection Applied To Iris, Fingerprint, And Face Recognition By Using Image Quality Assessment”, International Journal Of Innovations In Scientific And Engineering Research, Vol. 2, Iss.3, 2015, Pp.57-72. 20. Uma Maheswari. S, Vasanthanayaki.C,” Secure And Enhanced Information Encoding In MatrixBarcode”, Journal Of Advanced Research In Dynamical And Control Systems, Vol. 9,Sp– 6, 2017,Pp.1926-1936. 21. S. Saravanakumar, V. Dinesh Kumar,” High Throughput Quaternary Signed Digital Adder Design For Portable Electronic Applications”, International Journal Of Pure And Applied Mathematics, Vol. 116, No. 11, 2017, Pp. 61-69. Authors: D.Rajalakshmi

Paper Title: A Novel PMSG Based WECS for Grid Integration Using Direct Matrix Converter Abstract: The project explains the work done to achieve required active and reactive power in the output of converter with maximum wind power extracted through matrix converter with space vector modulation (SVM) fed grid combined Voltage Oriented Vector Control scheme (VOC). Direct matrix converter is applied and PMSG based Wind Energy Conversion System (WECS) is used for the proposed work. The reference for active 2. power is the maximum extractable power which is calculated while reactive power reference is considered as zero. The change in wind speed changes generated power which is regulated using PI controller and it regulates 7-11 the voltage ratio of the Matrix Converter (MC). This VOC scheme evaluates WECS maximum power and it is fed to the grid at the required output voltage and frequency, also at approximately unity input power factor. Under variable wind speed, the generated power voltage and frequency fluctuates in grid side and also load side. Even changes in speed of wind mill, the proposed system regulates the output power at evaluated maximum power of wind.

Keywords: WECS, Matrix Converter, Unity power factor, SVM, PI controller.

References: 1. M. Godoy Simoes and F.A.Farret, “Renewable Energy Systems: Design and Analysis with Induction generators”, Book, CRC Press, Boca Raton, FL, 2004. 2. R. C. Bansal, T. S. Bhatti and D. P. Kothari, “Bibliography on the Application of Induction Generators in Non conventional Energy Systems,” IEEE Transactions on Energy Conversions, vol. 18, no. 3, pp. 433-439,September 2003. 3. T.Ackermann, wind power in power systems, wileyNew York, 2005. 4. J. M. Carrasco, L. G. Franquelo, J. T. Bialasiewicz, E. Galvan,R. C. P. Guisado, M. A. Martin Prats, J. I. Leon, N. M. Alfonso, “Power electronic systems for grid integration of renewable energy sources: a survey,” IEEE Trans. Industrial Electronics, vol. 53, no. 4, pp. 1002-1016, Aug. 2006. 5. P. W. Wheeler, J. Rodriguez, J. C. Clare, L. Empringham, and A. Weinstein, "Matrix converters: A technology review," IEEE Trans. Ind. Electron., vol. 49, no. 2, pp. 276-288, Apr. 2002. 6. Vinod Kumar, Rahul Choudhary, BherudasVairagi, and Prashant Upadhyay ,“Performance Investigation of Matrix Converter Interfaced Wind Energy Conversion System,” International Journal of Computer Science and Electronics Engineering (IJCSEE) ,Volume 2, Issue 2, ISSN 2320–4028,2014 7. 8Yang, Guoliang; Zhu, Yanping; “Application of a matrix converter for PMSG wind turbine generation system,” Power Electronics for Distributed Generation Systems,IEEE International Symposium ,pp.185– 189, June 2010. 8. F. Blaabjerg, and Ke M., “Future on power electronics for wind turbine systems”, IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 1, no. 3, pp. 139-152, Sep. 2013. A. Vinod Kumar, R. R. Joshi, and R. C. Bansal, “Experimental evaluationof matrix converter for wind energy conversion system under various abnormal conditions,” Int. Journal of Renewable Energy Research, vol. 4, no. 1, pp. 15-22, 2014. 9. Alesina and M. Venturini, "Analysis and design of optimum amplitude nine switch direct AC-AC converters", IEEE Trans. Power Electron., vol. PE-4, no.l, pp.101-112, Jan. 1989. 10. L. Zhang, C. Watthanasarn, and W. Shepherd, “Application of a matrix converter for the power control of a variable-speed wind- turbine driving a doubly-fed induction generator,” Proc. IEEE IECON,vol.2,pp. 906– 911, Nov. 1997. 11. H. Hojabri, H. Mokhtari, and L. Chang, “A generalized technique of modeling, analysis and control of amatrix converter using SVD,” IEEE Trans. Ind. Electron., vol. 58, no. 3, pp. 949–959, Mar. 2011. 12. Santhi Rajendran, Uma Govindarajan, DeivaSundari& Parvathi Sankar, “Active and reactive power regulation in grid connected wind energy systems with permanent magnet synchronous generator and matrix converter”, IET Power Electron., Vol. 7, Iss. 3, pp. 591–603, 2014. 13. M. Monfared, M. Sanatkar, and S. Golestan, “Direct active and reactive power control of single-phase grid-tie converters”, IET Power Electron., Vol. 5, Iss. 8, pp. 1544–1550, 2012. 14. M. Monfared and S. Golestan, “Control strategies for single-phase grid integration of small-scale renewable energy sources: A review,” Renewable and Sustainable Energy Reviews, vol. 16, pp. 4982-4993, 2012. 15. Cardenas, R., Pena, R., Wheeler, P, “Control of the Reactive power supplied by a WECS based on an Induction generator fed by a matrix converter”, IEEE Trans. Ind. Electron., vol.56. no.2, pp. 429-438, 2009. 16. Hossein Hojabri, Hossein Mokhtari, Member, IEEE, and LiuchenChang,Senior Member, IEEE ,“Reactive Power Control of Permanent-Magnet Synchronous Wind Generator With Matrix Converter”, IEEE Trans. on power delivery, VOL. 28, NO. 2, April 2013. 17. E. Koutroulis and K. Kalaitzakis, "Design of a maximum power tracking system for wind-energy-conversion applications," IEEE Trans. Ind. Electron., vol. 53, no. 2, pp. 486-494, Apr. 2006. 18. Kesraoui, M., Korichi, N., Belkadi, A.,” Maximum power point tracker of wind energy Conversion system,” Elsevier - Renew. Energy, 36, (10), pp. 2655-2662, 2011. 19. Hilloowala, R.M., Sharaf, A.M., “A Utility interactive wind energy conversion scheme with an synchronous DC link using a supplementary control loop,” IEEE Trans. Energy Convers., vol. 9, (3), pp. 554–563, 1994. 20. SzczeĞniak, Paweá ,“Three-phase AC-AC Power Converters Based onMatrix Converter Topology,”Springer, ISBN: 978-1-4471-4895- 1, 2013. 21. M. Jussila and H. Tuusa,” Comparision ofdirect and indirect matrix conveters in IMdrive,”in IEEE industrial Electronics, IECON2006. 22. D.Rajalakshmi,.“GA optimized converter topologies for PV system integrated with Microgrid”Asian Journal of Information Technology, vol. 15, no. 3, pp. 493-503 , Apri2016. 23. D.Rajalakshmi,et al.,”A novel integrated approach of wind energy conversion systems with optimized matrix converter fed grid under different loadConditions “, International Journal of Pure and Applied Mathematics ,Vol 117 No. 8, pp -73-77, 2017. 24. Nethaji Kumar D, L.Bharathi, R Mahadevan,” Polynomial Time Routing Algorithm To Identify Shortest Path In A Distributed Networks”, International Journal Of Innovations In Scientific Andnal Of Innovations In Scientific And Engineering Research, Vol .4, Iss. 10,2017, Pp. 204-208. 25. 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. 26. A.Amsaveni And K.Anusha,” A Circularly Polarized Triangular Slot Reconfigurable For Wireless Applications”, International Journal Of Pure And Applied Mathematics, Vol.116, No.11, 2017,pp. 81-89. Authors: D.Rajalakshmi , R.Kavitha Comparison of Selective Harmonic Elimination PWM Technique for Three Phase Matrix Paper Title: Converter with Conventional Algorithms Abstract: Renewable Energy sources which is the alternative energy source have been initiated new challenges when it is connected to a grid. The power quality of the grid is affected due to injection of fluctuated wind power. So AC –AC converter is used for connecting RES with the grid. The three phase Matrix converter which converts AC-AC can be used than DC link AC_AC converter in WECS fed grid for better performance. There are some carrier based modulation techniques available for switching of 3 phase MC such as optimum venturini , venturini 3. modulation and space vector modulation techniques. Selective Harmonic Elimination PWM (SHEPWM) algorithm is the novel technique in MC. This paper compares various conventional algorithm and also with 12-23 SHEPWM algorithm. SHEPWM technique control in MC optimizes the linearized control of the output fundamental magnitude and it eliminates harmonics with lower order. The above SHEPWM technique and conventional modulation algorithms based a three phase MC are modelled in MATLAB simulation. Selective harmonic elimination technique in MC has been developed in MATLAB code. The results from simulation are discoursed and compared with traditional modulation algorithms. It is intended that the proposed SHEPWM technique based three phase MC gives better performance in terms of reduced THD and lower order harmonics in WECS fed grid compared to conventional modulation algorithms.

Keywords: Matrix converter, Selective Harmonic Elimination PWM Inverter, Total Harmonic Distortion, Venturini algorithm, Space Vector Modulation algorithm.

References: 1. R. Kavitha et al., (2008)“Implementation of Novel Low Cost Multilevel DC-Link Inverter with Harmonic Profile Improvement “,Asian Power Electronics Journal, Vol. 2, No. 3, PP- 158-162. 2. D.Rajalakshmi,et al.,”A novel integrated approach of wind energy conversion systems with optimized matrix converter fed grid under different load Conditions “, International Journal of Pure and Applied Mathematics ,Vol 117 No. 8, pp -73-77, 2017. 3. Karaca ,Hulusi and Ramazan Akkaya ,”Modellin ,Simulation and Analysis of Matrix converter using MATLAB/Simulink “ ,International journal of modeling and optimization ,2.3(2012) :239 Zuckerberger, A., D. Weingstock, A. Alexandrovitz, 1997. “Single- phase matrix converter”, IEEE Proceedings-Electric Power Applications. 144(4): 235-40 4. Rodriguez,Jose,Macro Rivera ,Johann W.Kolar and Patrick W.Wheeler, “A review of control and modulation methods for matrix converters” IEEE transaction on Industrial Electronics ,50 (1) 2012 :58-70. 5. Wheeler, P.W., J. Clare, A. Weinstein, 2002. “Matrix Converters :A Technology Review”, IEEE Indstrial Electronics., 49(2) 2002: 276-88. 6. Ronald,Sharaon D,A.Sheela and S.Josephin Mary,”Three phase toThree phase Direct Matrix converter using SPM Technique” ,International journal of soft computing and Engineering (IJSCS) 3(2013) :217-128. 7. Rivera ,Marco et al.,”A Comparative assessment of model predictive current control and space vector modulation in a direct matrix converter: ,Industrial Electronics ,IEEE transactions on 60.2(2013):578 -588. 8. A. K. Al-Othman, Nabil A. Ahmed, A. M. Al-Kandari, and H. K. Ebraheem, “Selective Harmonic Elimination of PWM AC/AC Voltage Controller Using Hybrid RGAPS Approach” ,World Academy of Science, Engineering and Technology ,International Journal of Electrical and Computer Engineering ,Vol:1, No:5, 2007. 9. Mohamed S. A. Dahidah • M. V. C. Rao , “A hybrid genetic algorithm for selective harmonic elimination PWM AC/AC converter control “, Electical Engineering (2007) 89: 285–291. 10. D. Ahmadi, “A Universal Selective Harmonic Eliminatin Method for High-Power Inverters”, IEEE Trans. on Power Electron, vol. 26, no. 10, pp. 2743-2752, Oct. 2011. 11. J. N. Chiasson, L. M Tolbert., K. J. Mc Kenzie and Zhong Du, “A complete Solution to Harmonic elimination Problem,” IEEE Trans. Power Electronics,vol. 19, no. 2, pp. 491-499, Mar. 2004. 12. Dahidah ,Mohamed SA and Vassilios G.Agelidis, “SHE-PWM Technique for Single phase AC-AC matric converters” ,in Power Engineering conference,2008 AUPEC’08 ,Australian Universities ,PP .1-8,IEEE ,2008. 13. Karuvelam,P.Subha and M.Rajaram,”Real Tim eimplementaion of SHE PWM in single phase matrix converter using linearization model:,Journal of Electrical Engineering and Technology,10.4 (2015) :1682 -1691 14. Imayavaramban, M.Chaithanya ,A.K., &Fernandes B.G.,(2006october) ,”Analysis and mathematical modeling of matrix converter for adjustable speed AC drives”, In power system conference and Exposition 2006,PSCE’06 IEEE PES(pp .1113-1120). 15. Kara, Z., K. Barra, 2014. ”Wind energy conversion based doubly fed induction generator controlled direct matrix converter”, 2014 5th international The Fifth Renewable Energy Congress IREC.’2014,Hammamet, pp: 1-6. 16. D.Rajalakshmi,2016.“GA optimized converter topologies for PV system integrated with Microgrid”Asian Journal of Information Technology, vol. 15, no. 3, pp. 493-503.

Authors: Divya.R, Latchaprabhu.P, Nishashree.R, Nivetha N.J, R. Kavitha Paper Title: Hazardous Gas Monitoring System In Industries And Washrooms Abstract: A gas detector is a vital device in industries that detects the presence of hazardous gases often as part of a safety system. This type of equipment is used to detect a gas leak or other emissions and provide signal and alarm giving the employees the opportunity to evacuate. The main idea of this project is to apply gas monitoring system in washroom and industry. In India most of the washrooms are not clean regularly which leads to lots of hygienic problem and restricts the usage of public. The main gases in the washroom are hydrogen sulfide, methane, ammonia, carbonmonoxide and nitrogen oxides. This project is proposed to initiate the use of public washrooms in India without any hesitation. The gases are detected using sensors MQ-4, TGS-2602andMQ-136 respectively and GSM will send a message to the server GSM, which will indicate washroom should be cleaned.

Keywords: obstacle detection, Electronic travel aid, indoor navigation, light fidelity.

References: 1. Karthick, M., Kannan, S. S., &Velmathi, G. Odour Sensor Based Solution for the Sanitary Problem Faced by Elderly People and Kindergarten Children. International Journal of Information, Vol.4, No. 3, 2014. 4. 2. Thepudom, T., Kerdcharoen, T., Tuantranont, A., &Pogfay, T. “Health-care electronic nose to detect beer odor in breath after drinking”, In Biomedical Engineering International Conference (BMEiCON),(pp. 1-4,2012. 3. F. Muhamad-darus, A. Zain-ahmed, and M. Talib, “Preliminary assessment of indoor air quality in terrace houses”, Health and the 24-27 Environmental Journal, Vol. 2, No. 2, pp. 8–14,2011 4. Umamaheswari, S., &Mahalakshmi, R. (2015). Dynamic Network Event Analysis for Distributed Attack Detection in Wireless Sensor Networks. Sensor Letters, vol. 13, no.1, pp. 64-71 2015.. 5. Potyrailo, Radislav A. "Correction to Multivariable Sensors for Ubiquitous Monitoring of Gases in the Era of Internet of Things and Industrial Internet." Chemical reviews vol. 116, no. 23 ,2016. 6. Sathishkumar, M., and S. Rajini. "Smart surveillance system using PIR sensor network and GSM."International Journal of Advanced Research in Computer Engineering & Technology 4, no. 1, 2015. 7. Kaushik, Ajeet, Rajesh Kumar, Sunil K. Arya, Madhavan Nair, B. D. Malhotra, and ShekharBhansali. "Organic–inorganic hybrid nanocomposite-based gas sensors for environmental monitoring." Chemical reviews 115, no. 11, pp. 4571-4606, 2015. 8. 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, Vol9no.6, 2017,pp1913-1925. 9. K. Kavitha1, A. Kumaresan2 and S. ArunKumar,”Performance Analysis of Multilevel Spatial Modulation OFDM Technique (MLSMMIMO)”, International Journal of Pure and Applied Mathematics, Volume 116 No. 11, 2017, 101-109 10. Deshmukh, Sharvari, RajibBandyopadhyay, Nabarun Bhattacharyya, R. A. Pandey, and Arun Jana. "Application of electronic nose for industrial odors and gaseous emissions measurement and monitoring–An overview."Talanta vol. 144 pp. 329-340, 2015. 11. Vanitha, V., Sumathi, V. P., Arumugam, S., &Selvam, N..Scalable Real Time Botnet Detection System for Cyber-Security. Asian Journal of Information Technology, vol. 15,no.4, p p. 670-675, 2016.

Authors: N.Vinoth kumar, M.Pradish 5. Paper Title: Sequential Quadratic Programming (SQP) Based Selective Harmonic Elimination for Multilevel Inverter Abstract: Multilevel inverters are most preferable due to it reduced harmonic content and clean waveform. Since the Total Harmonic Distortion (THD) is a major selection criterion for an inverter, the reduction of the same must be most important for power electronics engineer. There are options for reduction of THD, usually filters are employed at output side to reduce THD and harmonic content. Also mathematically, it can be reduced using optimization techniques. The stepped voltage/current waveform of a MLI may synthesis a sinusoidal waveform with reduced THD, if the levels of MLI are increased. Lower order harmonics are dominating in nature which needs to be reduced. This proposed paper brings out a unique technique for suppressing/reducing the lower order harmonics using Selective Harmonic Elimination (SHE) technique. Sequential Quadratic Programming (SQP) algorithm is a optimizing algorithm which is used to find the angles where fifth and seventh harmonic are suppressed in a seven level inverter. SQP based optimized results shows better performance such as reduction of Total Harmonic Distortion (THD) and suppressing of lower order harmonics which is compared with particle swarm optimization (PSO) technique. Simulation results and experimental results proves the proposed concept

Keywords: Multilevel inverter, SHE techniques, SQP, Harmonics elimination

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Vinothkumar,.V.Kumar Chinnaiyan, Pradish.M and Prabhakar karthikeyan, “Simulated Annealing Based Selective Harmonic Elimination for Multi-level Inverter”, Elsiver energy procedia, vol. 117C, pp. 790-796, 2017. 7. Chiasson, J.N., Tolbert, L.M., McKenzie, K.J., “Elimination of harmonics in a multilevel converter using the theory of symmetric polynomials and resultants”, IEEE trans on control system technology, vol.13 no.2, pp. 217-223, 2005. 8. Taghizadeh, H.,Islamic Azad Univ., Shabestar, Iran ; Hagh, M.T., “Harmonic Elimination of Cascade Multilevel Inverters with Non 28-32 equal DC Sources Using Particle Swarm Optimization”, IEEE trans on Industrial electronics, vol. 57, no.11, pp. 3678 – 3684, 2010. 9. Kavousi, A., Vahidi, B.,Salehi, R.,Bakhshizadeh, M., Farokhnia, N. , “Application of the Bee Algorithm for Selective Harmonic Elimination Strategy in Multilevel Inverters,”, IEEE Transactions on Power Electronics, vol.27, no.4, pp. 1689 – 1696,2012 10. 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Authors: J.Poornimasre, R.Harikumar, P.Saravanakumar A Comparative Study on Genetic Algorithm and Ant Colony Algorithm for Testing S27 Benchmark Paper Title: Cyclic Sequential Circuits Abstract: Testing is the procedure of evaluating the performance of the system with the intent to find whether the system meets its functional requirements or not. The testing procedure involves testing a predefined sets of 6. input test data to the circuit under test (CUT) and determining the circuit responses. CUT that gives the exact output responses for all input stimuli that passes the test are said to be fault-free circuits. These failed circuits will 33-38 give an exact response at any given point during the test sequence are assumed to be faulty. VLSI Testing will be done at different life cycle stages of a VLSI device, that includes the VLSI development process, the electronic system manufacturing process, and, in some cases, system-level operation. Several algorithm are exists to improve the test performance of a system also reduce the testing time. A performance analysis of Genetic algorithm and Ant colony algorithm has been carried out on S27 benchmark cyclic sequential circuits. Results shows that Genetic algorithm detects more faults with minimal number of test pattern than the Ant colony algorithm with less complexity.

Keywords: Test Vectors, Fault Detection, Controllability & Observability, S27 Benchmark Circuits, Cycle detection, Genetic algorithm.

References: 1. Book: M. Bushnell, V. Agrawal: Essentials of Electronic Testing for Digital, Memory and Mixed Signal VLSI Circuits, Published by Kluwer academic press, 2000. 2. Rana Farah and Haidar M. Harmanani, “An Ant colony optimization approach for test pattern generation”, Computer Science and Mathematics Department, American University Byblos, 2010 3. Kelson Gent and Michael S. Hsiao, “Dual-Purpose Mixed-Level Test Generation Using Swarm Intelligence”, 2014 IEEE 23rdAsian Test Symposium. 4. M. Dorigo and T. St¨utzle, Ant Colony Optimization, MIT Press, 2004. 5. Kewen Li, Zilu Zhang, Wenying Liu, “Automatic Test Data Generation Based On Ant Colony Optimization”, 2009 Fifth International Conference on Natural Computation. 6. H. Harmanani and B. Karablieh, “A Hybrid Distributed Test Generation Method Using Deterministic and Genetic Algorithms,” in Proc. 5thInt. Workshop on System on-Chip for Real-Time Applications, pp. 317- 322, 2005. 7. Goldberg, D.E,”Genetic algorithms in search, optimization and Machine Learning. Reading”, MA: Addison-Wesley.1989. 8. l.Pomeranz, SudhakarM.Reddy, "On improving genetic optimization based test generation, " Proceedings of European design and test conference, 1997. 9. Yung-Chieh Lin, Kwang Ting Cheng, "Multiple-fault diagnosis based on single fault activation and single output observation, " Proceedings of Design, Automation and Test, 2006. 10. H. Takahashi, K. O. Boateng, K. K. Saluja, Y. Takamatsu, "On diagnosing multiple stuck at faults using multiple and single fault simulation in combinational circuits, " EEE Transactions on Computer Aided Design of Integrated Circuits and Systems,VoL21,no. 3, pp. 362-368, 2002.

Authors: D.Preethi, R S Valarmathi Paper Title: State of the art techniques for Transmission of FECG Signal using MIMO-OFDM Abstract: The fetal electrocardiogram (FECG) extracted during labor or prenatal phases of pregnancy should essentially contain precise information exclusive of noises that can help doctors. The major constraint in achieving the precise information is the interference of external noises with the maternal ECG (MECG). To circumvent such noises in biomedical data processing, FIR filters using array multiplier is employed. In order to compensate the higher delay and power dissipation modified HPM based modified booth multiplier is reviewed and validated along with rest of the multipliers for better performance and high speed operations. MIT-BIH Arrhythmia Database is used for carrying out the filtering process with the ECG signal information. In continuation to the filtering of noises, MIMO - OFDM transceivers are also validated for effective transmission of extracted FECG signals. The area and power dissipation are reduced by an extent to 80.4% while simulated in Xilinx ISE 9.1 and Cadence Virtuoso.

Keywords: Fetal electrocardiogram, Programmable FIR filters, Array multiplier, HPM based modified booth multiplier, OFDM.

References: 1. Amit Kam and Amon Cohen, ‘Maternal ECG Elimination And Foetal ECG Detection - Comparision Of Several Algorithms’, Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1998. 7. 2. Andrea Bonetti, Adam Teman, Philippe Flatresse, and Andreas Bur, ‘Multipliers-Driven Perturbation of Coefficients for Low-Power Operation in Reconfigurable FIR Filters’, Annual International Conference of the IEEE Engineering in Medicine and Biology Society , 2017. 39-44 3. Byonghyo Shim, Srinivasa R. Sridhara, Naresh R. Shanbhag, ‘Reliable Low-Power Digital Signal Processing via Reduced Precision Redundancy’, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2004. 4. Farhana Sheikh, Melinda Miller,Brian Richards, Dejan Markovi, Borivoje Nikoli, ‘A 1–190MSample/s 8–64 Tap Energy-Efficient Reconfigurable FIR Filter for Multi-Mode Wireless Communication’ Symposium on VLSI Circuit and systems, 2010. 5. Jiajia Chen, Chip-Hong Chang, Feng Feng, Weiao Ding,and Jiatao Ding , ‘Novel Design Algorithm for Low Complexity Programmable FIR Filters based on Extended Double Base Number System’ IEEE International Symposium on Signal Process, 2014 6. Khaled Assaleh , ‘Adaptive Neuro-Fuzzy Inference Systems for Extracting Fetal Electrocardiogram’ , IEEE International Symposium on Signal Process, 2006. 7. Nalini Singh, Shahanaz Ayub, J.P. Saini, ‘Design of Digital IIR Filter for Noise Reduction in ECG Signal’ 5th International Conference on Computational Intelligence and Communication Networks, 2008. 8. Purvi Jain, Ankur Dixit, Sunil Kumar Mangal , ‘De-noising & Processing of ECG Signals by using Adaptive Filter’, IEEE International Symposium on Signal Process , 2016. 9. Rajvansh Sehamby, Buta Singh, ‘ Noise Cancellation using Adaptive Filtering in ECG Signals: Application to biotelemetry’, International Journal of Bio-Science and Bio-Technology 2013. 10. Wijemuni N.M.Soysa, Roshan I Godaliyadda, Janaka V.Wijayakulasooriya, Mervyn P. B. Ekanayake, and Iresh C.Kandauda, ‘Extraction and Analysis of Fetal Heart Signals with Abnormalities An Eigen- Analysis Based IEEE 8th International Conference on Industrial and Information Systems, 2013. 11. H. Eriksson, P. Larsson-Edefors, M. Sheeran, M. Själander, D. Johansson, and M. Schölin, ―Multiplier reduction tree with logarithmic logic depth and regular connectivity,‖ in Proc. IEEE Int. Symp. Circuits Syst. (ISCAS), May 2006, pp. 4–8. 12. S. M. A1amouti, "A simple transmit diversity technique for wireless communications", IEEE J. Sel. Areas Commun., vol. 16, No. 8, pp.1451-1458, Oct 1998.

Authors: Kalil Rahiman M, Balakrishnan K, Venkatachalam R, Murugappan S, Santhoshkumar S Study of diesel with oxygenated fuel blends for its prominence using high performance thin layer 8. Paper Title: chromatography Abstract: Alternative fuel is found broad utilization in compression ignition engines in terms of its decreased 45-53 harmful exhaust emissions. In the present work, tri-fuels namely diesel, di-butyl ether and ethanol were blended in various proportions and the resultant fuel blends were validated through high performance thin layer chromatography (HPTLC). Eight different fuel proportions were experimentally validated with the chromatography by comparing with the diesel fuel. Qualitative analysis of various fuel blends such as retention factor, absorption unit, peak height and peak area were carried out depicting the variations in the migration distances and proportional concentrations of different individual components in the tri-fuel samples. The chromatogram resulted from the HPTLC were analyzed for its significance. The one-way ANOVA test was performed to check the formulated null and alternate hypothesis. The critical values for experimental wise error rate lies between 3.28 for the significance value of 5% to 3.80 for significance value of 1%. Keywords: Oxygenated fuel; High Performance Thin Layer Chromatography; Retention Factor; ANOVA.

Keywords: Slot-Loaded Patch, Microstrip , Global Positioning Satellite (GPS), Shorted.

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E.; Patricia, V.A.; Alan, P.; Gilberto F. de Sa,; Romeu, J. D.; Vanderlea de Souza and Marcos, N.E., Analysis of biodiesel and biodiesel–petro diesel blends by high performance thin layer chromatography combined with easy ambient sonic- spray ionization mass spectrometry, Analyst, 2009; 134: 1652–57. 30. Barman, B.N., Hydrocarbon-Type Analysis of Base Oils and Other Heavy Distillates by Thin-Layer Chromatography with Flame- Ionization Detection and by the Clay—Gel Method, Journal of Chromatography Science, 1996; 34 (1): 219 - 25. 31. Barman, B.N.; Cebolla, V.L.; and Membrado, L., Chromatographic Techniques for Petroleum and Related Products. Critical Reviews in Analytical Chemistry, 2000; 30 (2-3): 75 - 120. 32. Yasin, G.; Bhanger, M.I.; Ansari, T.M.; Naqvi, S.M.S.R.; Talpur, F.N., Quality of commercial high speed diesel and its environmental impact. Journal of Petroleum Technology and Alternative Fuels, 2012; 3: 29-35. 33. 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Authors: Kalamani M, Krishnamoorthi M, Valarmathi R S, Shalini E, Karthic N Paper Title: Design of Compact Antenna for Ultra Wide Band Applications Abstract: A square ring is designed in this research work for Ultra Wide Band (UWB) and RADAR ( Detection And Ranging) applications. The purpose of the slot is to minimize the weight of antenna and also to improve the antenna bandwidth. In this, the slot arms are shaped properly in order to control the isolation and impedance matching. Most of the bands has greater than 20 dB isolation. In this research work, aperture feeding is used for designing the proposed antenna and modified through circular slot arms. For the designed antenna, three dipole resonant frequencies are obtained and these respective frequencies can be used for RADAR applications.

Keywords: UWB, RADAR, Square Ring Slot Antenna, Aperture Feeding, Proximity Feeding.

References: 1. Best S. and Kaanta B.,“A tutorial on the receiving and scattering properties of antennas”, IEEE Antennas and Propagation Magazine, vol. 51, no. 5, pp. 26–37, October 2009. 2. Kanesan M., Thiel D.V., and Keefe S.G.O.,“The effect of lossy dielectric objects on a UHF RFID meander line antenna”, in the proc. of the IEEE Antennas and Propagation Symposium, July 2012. 3. Kumar R., Khokle R. K., and Ram Krishna R. V. S., “A dual polarized square-ring slot antenna for UWB, Imaging and Radar Applications”, IEEE Transactions on Antennas and Propagation, vol. 62, no. 7, pp. 3501–3510, July 2014. 4. Li Y., Zhang Z., Chen W., Feng Z., and Iskander M.F.,“A dual- polarization slot antenna using a compact CPW feeding structure”, 9. IEEE Antennas Wireless Propagation Letters,vol.9, pp. 191–194, 2010. 5. Lu J., Kuai Z., Zhu X., and Zhang N.,“A High-Isolation dual- polarization Microstrip patch antenna with quasi-cross-shaped coupling 54-57 slot”, IEEE Transactions on Antennas and Propagation, vol.59, no. 7, pp. 2713–2717, July 2011. 6. Gao S., Li L.W., Leong M.S., and Yeo T.S.,“A broad-band dual polarized Microstrip patch antenna with aperture coupling”, IEEE Transactions on Antennas and Propagation, vol.51, no.4, pp.898–900, April 2003. 7. Wei K., Zhang Z., and Feng Z., “Design of a wideband horizontally polarized Omni directional printed ”, IEEE Antennas Wireless Propagation Letters, vol.11, pp.49–52, 2012. 8. Wang C.J.and Chen L.T., “Modeling of stepped impedance slot antenna”, IEEE Transactions on Antennas and Propagation., vol. 62, no. 2, pp.955–959, February 2014. 9. Kumar R., Khokle R.K., and RamKrishna R.V.S.,“A horizontally polarized rectangular stepped slot antenna for ultra wide bandwidth with boresight radiation patterns,” IEEE Transaction on Antennas and Propagation, vol. 62, no.7, pp. 3501–3510, July 2014. 10. Chacko B. P., Augustin G., and Denidni T. A.,“Uni planar slot antenna for ultra wide band polarization-diversity applications”, IEEE Antennas Wireless Propagation Letters, vol. 12, pp. 88–91, 2013. 11. Lee C.H., Chen S.Y., and Hsu P.,“Isosceles triangular slot antenna for broad band dual polarization applications”, IEEE Transactions on Antennas and Propagation,vol.57, no. 10, pp. 3347–3351, October 2009. 12. Lee D., Yang H., and Cho Y.,“Design and analysis of tapered slot antenna with 3.5/5.5GHz band-notched characteristics”, in the proc. of the Electromagnetic Research, vol. 56, pp. 347–363, 2013. 13. Behdad N. and Sarabandi K., “A multi-resonant single element wideband slot antenna”, IEEE Antennas Wireless Propagation Letters, vol.3, pp.5–8, 2004. 14. Pritam Singh Bakariya, Santanu Dwari,“Proximity-Coupled Multiband for Wireless Applications”, IEEE Antennas Wireless Propagation Letters, vol.11, pp.139–141, 2015. 15. Pritam Singh Bakariya, Santanu Dwari, “Proximity-Coupled Microstrip Antenna for Bluetooth, WiMAX, and WLAN Applications”, IEEE Antennas Wireless Propagation Letters, vol. 11, pp. 144–147, 2015.

Authors: P. Sivaraman, J. S. Sakthi Suriya Raj Paper Title: Performance Enhancement of Solar PV System under Partial Shading Environment Abstract: Partial Shading is an important challenge in photovoltaic (PV) systems which affects the quality and quantity of the Output Power. The regular fluctuation of condition and the decreased productivity of PV Array is 10. a noteworthy hindrance in the quick development of the solar based power generation A Solar PV framework comprises of PV array linked with an Inverter through a dc-dc converter and the yield of the Inverter is connected 58-63 with the load. Be that as it may, addition to PV modules, and array configuration, control electronic converters are likewise basic parts for a solar based power production. It is imperative to comprehend the impact of partial shading to create effective and solid Photovoltaic energy conversion framework. PV array arrangement, converter setup and MPPT control method are the three fundamental regions where the energy extraction from PV cluster can be enhanced under partial shaded condition. A point by point examination study is directed among Central and Micro-Inverter based PV Systems and distinctive MPPT control procedures were contemplated and thought about under partial shaded condition utilizing MATLAB/Simulink.

Keywords: Photovoltaics, Partial Shading, Maximum Power Point Tracking, Neural Network

References: 1. Shuai Jiang Dong Cao, Yuan Li, and Fang Zheng Peng, “Grid-Connected Boost-Half Bridge Photovoltaic Micro inverter System Using Repetitive Current Control and Maximum Power Point Tracking”,IEEE Transactions On Power Electronics, Vol.27, NO.11, NOV 2012. 2. Ali Bidram,AliDavoudi, and Robert S. Balog, “Control and Circuit Techniques to Mitigate Partial Shading Effects in Photovoltaic Arrays”, IEEE Journal Of Photovoltaics, Vol. 2, NO. 4, OCT 2012. 3. Alberto Dolara, George Cristian Lazaroiu, Sonia Leva, Giampaolo Manzolini, “Experimental investigation of partial shading scenarios on PV (photovoltaic) modules”, Elsevier Ltd. Energy 55 466e475, 2013 4. Mäki A, Valkealahti S. “Power losses in long string and parallel-connected short strings of series-connected silicon-based photovoltaic modules due to partial shading conditions”, IEEE Transactions on Energy Conversion;27(1):173e83, 2012. 5. Charles R. Sullivan, Jonathan J. Awerbuch, and Alexander M. Latham, “Decrease in Photovoltaic Power Output from Ripple: Simple General Calculation and the Effect of Partial Shading”, IEEE Transactions on Power Electronics, VOL. 28, NO. 2, FEB 2013 6. HuiyingZheng a, Shuhui Li a, Rajab Challoo b, Julio Proano, “Shading and bypass diode impacts to energy extraction of PV arrays under different converter configurations”, Renewable Energy 68 58e66, 2014 7. L. Gao, R. A. Dougal, S. Liu, and A. P. Iotova, “Parallel-connected solar PV system to address partial and rapidly fluctuating shadow conditions” IEEE Trans. Ind. Electron., vol. 56, no. 5, pp. 1548–1556, May 2009. 8. H. Patel and V.Agarwal, “MATLAB based modeling to study the effects of partial shading on PV array characteristics”, IEEE Trans. Energy Convers., vol. 23, no. 1, pp. 302–310, Mar 2008. 9. Sivaraman, P, "A New Method of Maximum Power Point Tracking for Maximizing the Power Generation from a SPV Plant", Journal of scientific and Industrial Research Vol. 74, No. 3, pp 411-415, 2015. 10. Silvano Vergura., “Simulink Based Model of PV Plant” International Conference on Renewable Energies and Power Quality” Santiago de Compostela (Spain), Mar 2012 11. Natarajan Pandiarajan, Ramabadran Ramaprabha, and RanganathMuthu., “Application of Circuit Model for Photovoltaic Energy Conversion System”, International Journal of Photo energy Volume, 2012. 12. Hiren Patel and Vivek Agarwal.,“MATLAB-Based Modeling to Study the Effects of Partial Shading on PV Array Characteristics”, IEEE Transactions on energy conversion, vol. 23, no. 1, Mar 2008. 13. Pieter Bauwens, Jan Doutreloigne “Reducing partial shading power loss with an integrated Smart Bypass” SciVerse ScienceDirect, Solar Energy 103 134–142, 2014 14. DorinPetreus, Stefan Daraban, IonutCiocan, TomaPatarau, Cristina Morel b,MohamedMachmoum, “Low cost single stage micro- inverter with MPPT for grid connected applications”, SciVerse ScienceDirect, Solar Energy 92 241–255, 2013. 15. Sivaraman, P, "Integrated Controller for T-Source Inverter Based Photovoltaic Power Conversion System", Journal of electrical engineering-(Indexed in Scopus), Vol. 13, No. 3, pp 196-205, AUG 2013 16. Sivaraman P, "Reduction of common mode leakage current in three phase transformer photovoltaic grid connected systems", PRZEGLAD ELEKTROTECHNICZNY (Electrical Review)- (Indexed in Scopus), Vol. 89, No. 8, pp 120-125, MAR 2013

Authors: S.Karthick, R.S.Valarmathy R.Nirmalkumar Paper Title: Performance Analysis of Reconfigurable Heterogeneous Adder Architectures Abstract: The computational problems are solved by adaptable fabrics. A reconfigurable fabric has attracted high priority as the complexity and throughput has increased. The problem related to a specific architecture can be effectively addressed by reconfigurable computing. Various adder structures like Carry Bypass (CBA), Carry Look-Ahead (CLA), Ripple Carry Adder (RCA) and Carry Select (CSLA) with reconfigurable architecture are designed for Field Programmable Gate Array (FPGA) application. Performance metrics like area speed and power consumption can be effectively optimized by reconfigurable architectures. More fine grained architecture with improved can be achieved using reconfiguration techniques. The proposed structures are coded in Verilog- HDL. These architectures are targeted for 65 nm technology node using Synopsis tool. The proposed technique can be extended for more complex designs with improved performance. An area reduction of 14% to 44% and power reduction of 18% to 54% has been achieved using proposed reconfigurable adder architectures.

Keywords: Fabrics, Fine grained, Reconfiguration, Tradeoff

11. References: 1. Mohanty B K & Patel S K 2014, ‘Area–Delay–Power Efficient CarrySelect Adder’, IEEE Transactions on Circuits and Systems II: 64-69 Express Briefs, Vol. 61, no. 6, pp. 418-422. 2. Ye R, Wang T, Yuan F, Kumar R & Xu Q, ‘On reconfiguration oriented approximate adder design and its application’, IEEE/ACM International Conference on Computer Aided Design (ICCAD), pp. 48-54. 3. Kishore Kumar G & Balaji N 2017, ‘ Reconfigurable delay optimized carry select adder’, International Conference on Innovations in Electrical, Electronics, Instrumentation and Media Technology(ICEEIMT), pp.123-127. 4. Karthick S, Valarmathy S & E 2015, ‘Low Power Heterogeneous Adder”,WSEAS Transactions on Circuits and Systems’, Vol. 14, pp:09-117. 5. 5. Todman 2005,’Reconfigurable Computing: Architectures & Design’, IEEE Proc.-Comput. Digit. Tech., Vol. 152, no. 2. 6. Veeramachaneni, S , Prateek, G.V, Subroto, S, Bharat, S. & Srinivas, M.B, 2008, “A novel carry-look ahead approach to a unified bcd and binary adder/subtractor”, In 21st International Conference on VLSI Design, Vol 2, no 3, pp.547,552. 7. Lee & Ming-Hau 2000 ,’Design and implementation of the MorphoSys reconfigurable computing processor’, Journal of VLSI signal processing systems for signal, image and video technology Vol.24, no.2, pp.147-164. 8. El-Ghazawi & Tarek 2008 ,’The promise of high-performance reconfigurable computing’, IEEE Computer Vol.41, no.2,pp.69-76. 9. Singh & Hartej 2000,’MorphoSys: an integrated reconfigurable system for data-parallel and computation-intensive applications’, IEEE Transactions on Computers Vol. 49, no.5, pp.465-481. 10. Thoma & Florian 2007, ‘Morpheus: Heterogeneous reconfigurable computing Field Programmable Logic and Applications’,International Conference on field programmable logic pp-257-260.

12. Authors: Kailas Tambe, G. Krishna Mohan Paper Title: Detection of Malignant Skin Disease Based on Lesion Segmentation – A Survey Abstract: The scope of the project is diagnosis the malignancy of skin disease using digital camera images. Melanoma, a kind of skin disease predominantly distributed amongst 25% of population. If melanoma is detected in its early stage the chances of recovery and medication of diseases are higher. Though dermascopy, a non- invasive skin imaging technique gives a possible solution for accurate screening yet cost of screening is high hence an automated system for diagnosis is required. The image of skin lesion is captured by digital camera using which locating the skin lesion is another challenge of segmenting the vulnerable or affected area from the normal region. To increase the sensitivity and precision of diagnosis skin lesion segmentation algorithm based on texture based is reviewed. Segmentation is performed for accurate detection of lesion and texture distributions are analyzed with illumination corrected image followed by calculating the texture distinctiveness metrics. The prediction of texture distributions in the image can be classified into melanoma or normal skin. The validation of results is done using MATLAB 2017b software.

Keywords: Dermascopy, skin lesion segmentation algorithm, texture distinctiveness.

References: 1. Wong, A. ; Scharcanski ; Fieguth, P., ‘Automatic Skin Lesion Segmentation via Iterative Stochastic Region Merging’, Information Technology in Biomedicine, IEEE Transactions on, vo1.15, no.6, pp. 929,936, Nov. 2011 2. G. Di Leo, A. Paolillo, P. Sommella, and C. Liguori, ‘An improved procedure for the automatic detection of dermoscopic structures in digital elm images of skin lesions’, Proc. 2008 IEEE Comput. Soc. VECIMS, 2008, pp. 190–194. 3. J. Glaister, R. Amelard, A. Wong, and D. A. Clausi, ‘MSIM: Multi-stage illumination modeling of dermatological photographs for illumination corrected skin lesion analyses, IEEE Transactions. vol. 60, no. 7,pp. 1873–1883, Jul. 2013. 70-76 4. C. Scharfenberger, A. Wong, K. Fergani, J. S. Zelek, and D. A. Clausi, ‘Statistical textural distinctiveness for salient region detection in natural images’, Proc. IEEE Conf. Jun. 2013 5. I S Akila and Sumathi V, ‘Detection of Melanoma Skin Cancer using Segmentation and Classification Algorithms’, IJCA Proceedings on National Conference on Information and Communication Technologies NCICT 2015(2):1-4, September 2015. 6. Pablo G. Cavalcanti, Jacob Scharcanski, ‘Automated prescreening of pigmented skin lesions using standard cameras’, Computerized medical imaging and graphics 35, pp.481-491, Feb 2011. 7. S.Hwang and M. E. Celebi, ‘Texture segmentation of dermoscopy images using Gabor filters and g-means clustering’, in Proc. Int. Conf.Image Process., Comput. Vision, Pattern Recog, Jul. 2010, pp. 882 886 8. M. Emre Celebi; Hitoshi Iyatomi; Gerald Schaefer; William V Stoecker, ‘Lesion border detection in dermoscopy images’, Computerized medical imaging and graphics 33, pp. 148-153, 2009 9. M. Sheha, M. S. Mabrouk, and A. Sharawy’,Automatic detection of melanoma skin cancer using texture analysis’ Int. J. Comput. Appl., vol. 42, no. 20, pp. 22–26, Mar. 2012. 10. Cavalcanti, P. G. Yari, Y. Scharcanski, J. ‘Pigmented skin lesion segmentation on macroscopic images’, Image and Vision Computing New Zealand (IVCNZ), 2010 25th International Conference of, vol., no., pp.1,7, 8-9 Nov. 2010 11. Sarrafzade, Baygi, M. H. M. ; Ghassemi, P., ‘Skin lesion detection in dermoscopy images using wavelet transform and morphology operations’, Biomedical Engineering (lCBME), 2010 17th Iranian Conference of, vol., no., pp. l, 4, 3-4 Nov. 2010 12. S.Hwang and M. E. Celebi, ‘Texture segmentation of dermoscopy images using Gabor filters and g-means clustering’, in Proc. Int. Conf.Image Process., Comput. Vision, Pattern Recog, Jul. 2010, pp. 882 886 13. Richard Nock and F. Nielsen’,Statistical region merging’, IEEE Transactions. vol. 26, no. 11, pp. 1452–1458, Nov 2004 14. Trabelsi, 0.; Tlig, L. ; Sayadi, M. ; Fnaiech, F., ‘Skin disease analysis and tracking based on image segmentation’, Electrical Engineering and Software Applications (lCEESA), 2013 International Conference on, vol., no., pp.1,7, 21-23 March 2013 15. L. Xu, M. Jackowski, A. Goshtasby, D. Roseman, S. Bines,C.Yu, A. Dhawan, A. Huntley’, Segmentation of skin cancer images’ Image and Vision Computing 17 (1999)

Authors: P.Sritha, R.S. Valarmathi, P.Ramya, V.MohanaPriya Paper Title: An Efficient Matrix Converter for Induction cooking Applications Abstract: AC-AC converter employs bidirectional switches which can be used for AC-AC conversion. The main advantage of the matrix converter is regenerating energy to utility favor its usage in many applications. In this paper, we have designed a Matrix converter with buck and boost mode and a Sine wave Pulse Width Modulation technique for reducing harmonic content in the output of matrix converter. Domestic Induction cooking is the trending and favorable technology because of its high efficiency and safety factor. The induction cooking operation requires high frequency which can be impacted by the three leg inverter configuration in existing system. The three leg converter configuration is suffered from the power loss because of the DC link. The lack of DC link in between the rectifying and inverting mode of matrix converter favors its implementation in the domestic cooking. The automation of cooking is done by arduino, which reduces the manpower and it makes the system user friendly

13. Keywords: Matrix converter, induction cooking, Arduino, SPWM 77-80 References: 1. Y.Keping and M. F Rahman., “A matrix Z-source-converter with AC–DC bidirectional power flow for an integrated starter alternator system,” IEEE Transactions on Industrial Applications-2009., volume. 45, ,no. 1, page no. 239–248. 2. Lai.R, Wang.F, Burgos.R, Pei.Y, Boroyevich.D, Wang.B, Lipo.T.A, Immanuel.V.D, and Karimi.K.J “A systematic topology evaluation methodology for high-density three-phase PWM AC–AC converters,” IEEE Transactions on Power Electronics-2008, vol. 23, no. 6, page no. 2665–2680. 3. Omar.M.O, Dinavahi. V, “Hardware-in-the-Loop Simulation of Power Electronic Systems Using Adaptive Discretization,” IEEE Transactions on Industrial Electronics-2010, Volume: 57, Issue: 4, April 2010,page no. 1146-1158. 4. S.Ratanapanachote, C.Han Ju, and P.N.Enjeti, “A digitally controlled switch mode power supply based on matrix converter,” IEEE Transactions on Power Electronics-2006, vol. 21, no. 1, page number. 124–130. 5. Lixiang.Wei, Thomas Lipo., and R..A. Lukaszewski “Comparison of IGBT cycling capabilities for different AC/AC topologies,” IEEE Transactions on Industrial Applications- (2010), vol. 46, no. 6, page number. 2475–2483. 6. Thiago B. Soeiro, Thomas Friedli, Jörgen Linner, Per Ranstad, Johann W. Kolar (2011) “Comparison of electrostatic precipitator power supplies with low effects on the mains,” 8th International Conference on Power Electronics - ECCE Asia, page no : 2382 - 2389 7. O. Lucía, J.M .Burdío, I. Millán, J. Acero, D.L Puyal, and L.A.Barragán, “Efficiency oriented design of ZVS half-bridge series resonant inverter with variable frequency duty cycle control,” IEEE Transactions on Power Electronics-2010, vol. 25, page no: 1671– 1674. 8. E Babaei, Hosseini , Gharehpetian “Reduction of THD and low order harmonics with symmetrical output current for single-phase ac/ac matrix converters”. Journal of Electrical Power Energy Systems -2010 Page no :225–235. 9. Baskaran, SP Natarajan, S S Sundari, D Thamilarasi “A novel matrix converter based single phase to three phase converter”. International Journal Science Techniques Automatic Control Computing Engineering IJ-STA, page number:1092–1107. 10. K.Vijayakumar, Raj, “Realization of matrix converter as revolutionized power electronic converter employing sinusoidal pulse width modulation.” International conference on computational intelligence and computing research (ICCIC-13), 26 –28 Dec 2013, page number 1–5. 11. J.Rodriguez, M. Rivera, JW Kolar, Wheeler, “A review of control and modulation methods for matrix converters.” IEEE Transcations on Industrial Electronics-2012 Page No:58–70 12. M. Hornkamp, M. Loddenkötter, M. Münzer, O. Simon, and M. Bruckmann, “EconoMAC the first all-in-one IGBT module for matrix converters,”in Proc. EUPEC, 2005. 13. J. J. Acero, JM Burdio, L. A. Barragan, D. Navarro, R. Alonso,J. R. Garcia, F. Monterde, P. Hernandez, S. Llorente, and I. Garde, “The domestic induction heating appliance: An overview of recent research,” in Proceedings. IEEE Applications of Power Electronics. Conference. Expo., 2008, page number. 651–657.

Authors: Baranidharan V, Bharanidharan N, Preethi D Paper Title: Energy Efficient Clustered-Chain Based Routing Protocol for Wireless Sensor Networks Abstract: The Wireless Sensor Networks (WSN) consists of enormous amount of sensor nodes. These nodes sense the physical parameters from the environment and forward the information to the destination (or) sink node. The sensor nodes have limited sensing, computation and communication capabilities. Those sensor nodes are mostly battery operated devices. This restriction makes the sensor nodes may prone to failure because of the more energy is wasted for data transmission to longer distance. This is a main challenging task in WSN to increase the network lifetime by increasing the number of alive nodes and to decrease the end to end delay and increase the average energy consumption. To aggregate the collected data before transmission is an intelligent technique in WSN. This technique will reduce the number of packets sent across the networks. The existing cluster chain mobile agent routing (CBRP) having high end to end delay and very high energy wasted for unnecessary transmission of data packets. To avoid this, the modified cluster chain based routing protocol are designed. It makes the advantage of very low energy consumption by using clustering hierarchy, improved network lifetime and very low end to end delay by using chain hierarchy. This protocol runs in two phases. This protocol is simulated and evaluated for the performance metrics has an energy consumed per node, end to end transmission delay, and network lifetime. Those results are demonstrated that the modified CCBRP outperforms than the existing routing protocols.

Keywords: Modified CCBRP, routing, Wireless Sensor Networks, Mobile Agent, Data Transmission.

References: 1. N. S. Patil, P. R. Patil, Data aggregation in wireless sensor networks, Proc. IEEE ICCIC, Dec. (2010). 14. 2. P. V. Kallapur, V. Geetha, Research challenges in using mobile agents for data aggregation in wireless sensor networks with dynamic deadlines, Intl. J. Comp. Appl., (2011), 30, no. 5,34–38. 3. P. Patil, U. Kulkarni, Analysis of data aggregation techniques in wireless sensor networks, Int. J. Comput. Eng. Manag., (2013), 22–27. 81-84 4. K. Maraiya, K. Kant, N. Gupta, Architectural based data aggregation techniques in wireless sensor network: A comparative study, Int. J. Comput. Sci. and Eng., (2011). 5. Baranidharan V, Kiruthiga Varadharajan, Mahalakshmi. G, "Performance of Mobile Sink Node based Geographic routing protocol in Wireless Sensor Networks", International Journal of Scientific Research in Science, Engineering and Technology, Vol. 5, No. 3, pp 38- 42, APR 2018. 6. V. Baranidharan, Dr. G.Sivaradje, Kiruthiga Varadharajan, Void Node Recovery based Geographic-Opportunistic Routing for Underwater Sensor Networks, Journal of Advanced Research in Dynamical and Control Systems., (2018), 323-332. 7. Kim Kyung Tae, A Youn Hee Yong, A stochastic and optimized energy efficient clustering protocol for wireless sensor networks, Int. J. Distrib.Sensor Netw., (2014). 8. S. Dehghani, M. Pourzaferani,, B. Barekatain, Comparison on energy efficient cluster based routing algorithms in wireless sensor network, Procedia Comput. Sci.,(2015), 535–542. 9. T. T. Huynh, A. V. Dinh-Duc, C. H. Tran, Delay-constrained energy efficient cluster-based multi-hop routing in wireless sensor networks, J.Commun. Netw., (2016), 580–588. 10. S. Lindsey, C. S. Raghavendra, PEGASIS: Power-efficient gathering in sensor information systems, Proc. IEEE Aerospace Conference, (2002). 11. M. R. Dhiman , P. Sethiy, A review on agent based data gathering system in wireless sensor network, Int. J. Innovations Advancement Comput.Sci., 85–95, (2015). 12. P. V. Kallapur, N. N. Chiplunkar, Topology aware mobile agent for efficient data collection in wireless sensor networks with dynamic deadlines, Proc. IEEE ACE, (2010). 13. V. Baranidharan, Kiruthiga Varadharajan, Secure Localization using Coordinated Gradient Descent Technique for Underwater Wireless Sensor Networks, ICTACT Journal of Communication Technology, (2018), 1716-1720. 14. R. K. Verma, S. Jangra, M. Mann, Architecture of wireless sensor network by using mobile agents, Int. J. Advanced Research Comput. Sci. Software Eng., (2014), 172–178. 15. E. Camponogara, R. B. Shima, Mobile agent routing with time constraints: A resource constrained longest-path approach, J. universal Comput.Sci., (2010), 372–401.

Authors: T. Alex Stanley Raja, R Senthil Kumar, A Nandhakumar, K V Santhosh Kumar Paper Title: LPG Leakage Detection and Autorefilling Using Arduino Abstract: The probability of an LPG accident is same as that of an nuclear accident (i.e) one in one million. While a nuclear facility is monitored with a number of sensors and controllers, the same cannot be said to LPG. 15. Leakage of gas creating fatal fire accidents have become a serious problems in households where LPG is to be used. Gas leakage in the system leads to the various types of accidents that may result in financial loss and also to 85-89 human injury. In our opinion a tragedy is a tragedy be it a personal or a public one. The purpose of this project is to build a foolproof system that will detect, curb and report a LPG gas leakage. It will also facilitate the auto booking by measuring the weight of the cylinder. The above mentioned is easily achieved by the use of modern day state of the art microcontroller and sensors.

Keywords: Gas sensor, Temperature sensor, Load cell, GSM, Arduino.

References: 1. Sunitha and Sushmitha, International Conference on the computing & Controlling Engg, “Embed control system for the LPG leakage detector & preventi” 12th & 13th April, 2012. 2. Ramya V & Palaniappan B, International Journal of Distributed & Parallel System, “Embed systems for the hazardous gases detect & alert” Vol number.3, No.3, May 2012. 3. Sagar Shind K, S.B.Patel and A.J.Patel, International Journal of Engineering Research and Applications , “Develop of the move gaseous tank leaking detect in wireless sensor n/w with the base on embed systems”, ISSN no: 2248-9622, volume no. 2, Is 6, Nov 2012, pp.1180-1183. 4. Mahalingam A, Naayagi & Mastorakis, Recent Research in apply of electrical & and Computer based engineering. “Design & Implementing an Economic auto Gaseous Leakage Detect”, 5. S Rajitha and T Swapna, International Journal of VLSI and Embed Systems, “Security alerting system using GSM for the gas leakage detection” 6. L Fraiwan, Lweesy, K Bani-Salma, Mani, Proceedings of the first Middle East, “Wireless home monitor and safety leakage detection system”, Conference on te Biomedical Engineering, pp.11-14, 2011. 7. N Nasaruddin, I Elamvazuthi and Hanif, Proceedings of the IEEE Student Conference on the R&D, “Overcoming of the gas detection fault alarm for moisture”, pp. 426-429, 2009. 8. S Nakano, Y Goto, Yokosawa, Tsukada, Proceedings of the IEEE Conference on the Sensors “H2 gas detecting on the system prototype with wireless sensor n/w”, pp. 1-4, 2005.

Authors: Poongodi C, Deepa D Paper Title: Performance Analysis of Massive MIMO system for 2D/3D channel Models in 4G/5G Networks Abstract: Channel capacity, data rate and spectral efficiency are the most important demanding factors in wireless communications. Massive MIMO (Multiple Input Multiple Output) can improve these factors in the next generation 5G wireless communication networks. In massive MIMO, terminals are equipped with array of antennas for the same time frequency slot to assist multiple users with fast data rates and reliable performance. The performance of massive MIMO system with mutual coupling for realistic channel models is analyzed using Monte-Carlo simulations for different antenna configuration. The Geometry Based Stochastic Models (GBSMs) and Correlation Based Stochastic Models (CBSMs) and are used for the theoretical and realistic channel model analysis. In this paper, channel capacity is analyzed for the different antenna configurations in considering with CBSM and GBSM channel models. It is inferred that the 2D array configurations performed well as compared to 1D . This is possibly due to very low mutual coupling of 2D array configurations.

Keywords: Massive MIMO; CBSM model, GBSM model, channel capacity, mutual coupling. 16. References: 90-93 1. Gesbert, D et al ‘From Theory to Practice: An Overview of MIMO Space-Time Coded Wireless Systems’, IEEE Journal on Selected Areas in Communications, vol. 21, no. 3, pp. 281-302,2003. 2. A.Paulraj et al “Introduction to Space-Time Wireless Communications” Cambridge University Press, 2003. 3. Kan Zheng at al Massive MIMO Channel Models: A Survey”, International Journal of Antennas and Propagation, Volume 2014 4. Alexiou et al ‘ Technologies for Future wireless Systems: Trends and Challenges’, IEEE Communication Magazine, pp. 90- 97, 2004. 5. E G Larsson et al “Massive MIMO for next generation wireless systems,” IEEE Communications Magazine,vol.52,no.2,pp.186– 195,2013. 6. Chiani, M et al, ‘On the Capacity of spatially Correlated MIMO Rayleigh-Fading Channels’, IEEE Transactions on Information Theory, vol.49, no.10, pp. 2363-2371, 2003. 7. Pan,S et al ‘MIMO capacity for spatial channel model scenarios’, proceedings of the Rasmussen L.K., Australian Communication Theory Workshop, Australia, pp.25-29,2007. 8. Martin et al ‘MIMO radio channel measurements: Performance comparison of antenna configurations’, proceedings of the IEEE 54th Vehicular Technology Conference, vol.2, pp. 1225-1229,2001. 9. Svantesson, T et al ‘Mutual coupling effects on the capacity of multielement antenna systems’, proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 4, pp.2485-2488,2001.

Anandha Moorthy Appusamy, Prakash Eswaran, Madheswaran Subramani & Santhanakumar Authors: Sadaiappan Experimental studies on Mechanical properties and Characterization of Parthenium Short Fibre Paper Title: Reinforced Polymer Matrix Composites Abstract: The modern world can’t be possible without any kind of improvement in the development of tailor made materials. Numerous researches are carried especially on synthesize of polymer based composite materials to attain the superior mechanical properties. Fibre Reinforced Plastics, Thermo & Thermoset Plastics are replaced with natural fibre reinforced composite. The research focus on enhancement of properties like high strength to weight ratio, non-toxic, dimensional stability, ease of availability, decomposable and affordability. Present 17. researchers have extended their idea in new product design using natural fibres that is stronger as well as affordable which will be utilized to produce extreme applications in automotive fields. The current 94-97 experimentation examines the mechanical performance of short fibre-parthenium strengthened epoxy composites. Parthenium fibres introduced as a reinforcement in polymer matrix. The mechanical properties of the composite are tested with ASTM D 638 standard. From the experimentation the test results are represented by plot the graph and observe the properties and their uses in different mechanical application.

Keywords: Epoxy resin, Natural fibre reinforced Composite, Parthenium fibres.

References: 1. TP Sathish Kumar (2012) ‘‘Mechanical properties of randomly oriented snake grass fiber with banana and coir fiber-reinforced hybrid composites”, Journal of Composite Materials, Volume. 47, No. 18, pp 2181–2191. 2. Tayfun Uygunoğlu (2015) ‘‘Physical and Mechanical Properties of Polymer Composites with High Content of Wastes Including Boron”, Journal of Materials Research, Volume. 3, No. 25, pp 271–276. 3. K Velusamy (2018) ‘‘The influence of fibre content and length on mechanical and water absorption properties of Calotropis Gigantea fibre reinforced epoxy composites”, Journal of Industrial Textiles, Volume. 4, pp 15280837 18763778. 4. K Joseph (1999), “A review on sisal fibre reinforced polymer composites”, Revista Brasileira de Engenharia Agrı´cola e Ambiental, Volume. 3, pp 367–379. 5. S Jayabal (2010), “Influence of fiber parameters on tensile, flexural, and impact properties of nonwoven coir–polyester composites” International Journal of Advanced Manufacturing Technology, Volume. 54, pp 639 –648. 6. Y Seki (2010), “Effect of the low and oxygen plasma treatment of jute fibre on mechanical properties of jute fibre/polyester composite”, Fibres Polymers, Volume. 11, pp 1159–1164. 7. M Idicula (2005), “Dynamic mechanical analysis of randomly oriented intimately mixed short banana/sisal hybrid fiber reinforced polyester composites”, Composite Science Technology, Volume. 65, pp 1077–1087. 8. A Athijayaman (2009), “Effect of moisture absorption on the mechanical properties of randomly oriented natural fibers/polyester hybrid composite”, Material Science Engineering A, Volume. 517, pp344–353. 9. M Thiruchitrambalam (2009), “Improving mechanical properties of banana/kenaf polyester hybrid composites using sodium lauryl sulfate treatment”, Material Physics and Mechanics, Volume. 8, pp 165–173.

Authors: K. Lakshmi, R. Karthikamani, N. Divya Paper Title: Aadhar Card based smart e-voting system Abstract: The paper proposes the need of an protected voting system to avoid the unlawful voting The authentication of an individual are made using biometric and capability of the voter is affirmed using the Aadhar. In this system the data stored in the Aadhar card act main criteria for authentication and conformation. The security is provided through biometrics such as fingerprint. The fingerprint information stored in the Aadhar is taken as the reference and used for authentication at the time of voting. The proposed system prevent the bogus voting (i.e.) the voting of an illegal citizens.

Keywords: Fingerprint, biometric, Aadhar card and confirmation

References: 1. Anandaraj S, Anish R., Devakumar P.V, “Secured Electronic voting machine using Biometric”, IEEE sponsored second Intern. Confer. (CICS), 2015. 2. E-voting machine design with inclusion of biometrics RFID and GSM ”, 2016 IEEE International Conference on Ad. Computing. 18. 3. S. M. Hasan, A. Mohd. Anis, H. Rahman, Jennifer Sherry Alam, Sohel I. N. and Md. Khalilur Rahman, “Develop. of e- voting machine with the inclusion of NFC ID 98-100 4. X. Yi, and E. Komodo, "Practical Mobile Electronic Election, " IEEE/SICE International Symposium on System Integration (SII), 20- 22 Dec. 2011 5. R. Lakhotia, R. K. Jarial, and P. K. Tiwari, "Designing a Secure Protocol for Mobile Voting Through SMS, " IOSR Journal of Engg Vol. 2(5), May 2012 6. A. D. Rubin. Security considerations for remote electronic voting. Communications of the ACM 45(12):39-44 December 2002. 7. Mc Galey Margaret McCarthy Joe "Transparency and e-Voting: Democratic vs. commercial interests" www.cs.nuim.ie/~mmcgaley/Download/Transport ency.pdf 8. Online Voting. Parliamentary Office of Science and Technology. May 2001. www.parliament.uk/post/pn155.pdf 9. Mc Galey Margaret. "Irish Citizens for Trustworthy Voting." 6 July 2004. http://evoting.cs.may.ie/ 10. Alaguvel.R and Gnanavel. G,” Offline and Online E-Voting System with Embedded Security for Real Time,” International Journal of Engg Research 11. Gomathi.B, Veena Priyadarshini. S ”Modernized Voting Machine using Finger Print Recognition,” International Jour. of Scientific & Engg Res. 12. Smart voting system using aadhar card, G.Sathya, B.Abinaya, B.Asma, Christina John and N.Divya Asian Journal of Applied Science and Tech..

Authors: Karthiga Shenbagam N, Mohanraj.A, Dr.Babu K Cost Comparison of a Six Storey RC Building Subjected to Earthquake Forces Using Response Paper Title: Spectrum Analysis Abstract: A six storey RC framed structure was used for performing seismic analysis with shear wall placed at different locations. The analysis was carried out at different seismic zones and the results were compared. Shear wall has become the most common method in construction of structures subjected to seismic forces because it provides a greater lateral strength and stability when subjected to horizontal forces. Hence the buildings are modeled and designed using ETABS 2016 software and results are further predicted in a detailed manner by plotting various graphs as per IS1893-2002.

Keywords: shear wall, IS1893-2002, linear case, non-linear case, ETABs2016.. 19. References: 101-104 1. “Seismic Performance of Reinforced Concrete Buildings During Bhuj Earthquake of January 26, 2001”, Agarwal, P., Thakkar, S.K. and Dubey, R.N. (2002). ISET Journal of Earthquake Technology, Volume number 39, No. 3, page number 195-217. 2. “Behavior of masonry infilled non ductile in forced concrete frames” Al-Chaar, G.Issa, M.Sweeney, 2002, Journal of Structural Engineering 128, page number 1055–1063. 3. American Concrete Institute 301 2002, Specifications for structural concrete, American Concrete Institute, Detroit. 4. American Concrete Institute 301 318 2002, Building code requirements for structural concrete and commentary, American Concrete Institute, Detroit. 5. ACI-American Society of Civil Engineers Committee 352R 2002, Recommendations for design of beam-column connections in monolithic reinforced concrete structures, 6. American Concrete Institute, Farmington Hills, Michigan, ACI 352R-02. 7. FEMA 356, Federal Emergency Management Agency (FEMA), Washington, DC, USA. 8. “ Implementation and calibration of finite-length plastic hinge elements for use in seismic structural collapse analysis”, Filipe L.A. Ribeiro, Luis A.C. Neves & Andre R. Barbosa (2017), Journal of Earthquke Engineering, Volume number 10, page numbers.1-30. 9. “ Effect of Infills on Seismic Performance of Reinforced Concrete Frame structures—A Full-Scale Experimental Study” Gaochuang Cai & Qiwang Su (2017), Journal of Earthquke Engineering, Volume 10, page numbers.1-30. 10. “Liquefaction and Dynamic Properties of Sandy Soils”. Govindaraju, L. (2005)., Ph.D. report , Dept. of Civil Engineering, Indian Institute of Science, Bangalore, India. 11. IS 1893. (Part 1) (2002). Criteria for earthquake resistant design of structures, Part1 general provision and buildings (fifth revision), BIS, New Delhi, India. 12. IS 1893-Part 1 (2016)."Criteria for Earthquake Resistant Design of Structures: General Provisions and Buildings". Bureau of Indian Standards, New Delhi. 13. “Modelling and Analysis of Infilled Frame Structures Under Seismic Loads” J. Dorji and D.P. Thambiratnam , The Open Construction and Building Technology Journal, 2009 14. “Dynamic Properties of Soils at Large Strains in Roorkee Region using Field and Laboratory Tests”., Kirar B. and Maheshwari B.K. (2017). Indian Geotechnical Journal. 15. “Liquefaction Susceptibility of Soils in Himalayan Region”, Maheshwari, B. K., Kaynia, A. M., and Paul, D. K. (2008), Proceeding of 14th World Conference on Earthquake Engineering, Beijing, China. 16. “Strength and Stiffness of masonry infilled frame with central opening based on experimental results.” Mohammadi, M., and Nikfar, F. (2013)., Journal of Structural. Engineering., volume nnumber 139(6), page numbers 974-984. 17. "Benificial influence of masonry infills on seismic performance of RC frame buildings." Murty, C.V.R. and Jain, S.K. (2000). Procedings of 13th World Conference on Earthquake Engineering, New Zealand 18. "Comparative Assessment of Seismic Fragility of RCFrame Buildings designed for Older and Revised indianStandards". Pisode M., Surana M., Haldar P and Singh Y. (2017). ISET Journal of Earthquake Technology, Volume number 54- 1, page numbers 17-29

Authors: Ravikumar M, Mohanraj T, Yazharasu A Paper Title: Optimization of Process Parameters in Robotic TIG Welding for High Pressure Valves Abstract: The valves form the main part of boiler assembly in order to control the pressure. The body and the yoke are the vital parts of the valve. Generally, in case of low and medium pressure valves, the body and yoke are bolted while in case of high-pressure valves, they are welded to withstand high pressure. During the welding process, defects such as porosity, blow holes, incomplete penetration, cracks, warm holes, lack of fusion, gas holes etc. are likely to occur in the welded components due to a number of reasons, viz., un-optimized process parameters, unskilled operator, working environment, equipment, raw material etc. This work has been done to establish the Optimization of Process parameters for High-Pressure Valve Welding machine to minimize the defects produced during the manufacturing of valve components.

References: 1. Chou W J, Sun C H, Yu, G.P and Hong J (2003) “Optimization of process parameters for TIG welding in Aerospace application using design of experiments”. Journal on maths, chemistry, physics (page no.210-229) 2. Fill Ben, Kacker and Legergmen (1991) “Taguchi fixed element array fractional factorials”, Journal of quality technology (page no 107) 3. Giridaran P.K. and Murugan N (2004) “Sensitive analysis of pulsed current Gas Tungsten Arc Welding process parameters on weld bead geometry”. National conference on advances in joining technology 4. Joshi K P, Pujari S A, Malik P (2005) “Parameter optimization of steam bluing process in electrical steels by Taguchi method”. Advances in materials, product design & manufacturing system (page no 734)] 5. Kate S and Tanabe S (1988)“ High speed welding on 0.5mm thickness alloy sheets using pulsed Gas Tungsten Arc Welding” Welding 20. international journal 6. Luhani, Nair and Wasser man, (1977) “Graphical methods for robust design”. Journal of quality technology (page no 327) 105-109 7. Montgomery D C (1997) Design and analysis of experiment, John wily Montgomery D C (1997) Design and analysis of experiment, John wily 8. Nail R Ullman, (1989) “The analysis of means for S/N ratio”, Journal of quality technology (page no 111) 9. Natraj M, Arunachalam V P, Dhandaphani N (2000) “risk analysis and Taguchi method to find the optimal conditions design parameters a case study”. International journal of advanced manufacturing technology 10. Ravikumar B.V.R., Dr. J. S Soni (2005) “ Welding characteristics of 65032 aluminium alloy weld aments using pulsed and non pulsed current Gas Tungsten Arc Welding”. Advances in materials, product design & manufacturing system (page no. 492) 11. Reddy G.M., Goghale A.A and Prasad Rao K, (1998) “The process parameters of Gas Tungsten Arc Welding for car body frame welding”. Science and Technology of welding journal 12. Tsen K.H and Choue C.P, (2001) “Effect of pulsed Gas Tungsten Arc Welding on angular distortion in austenite steel weld aments. Science and Technology of welding and joining journal 13. Yang W H and Trang Y S, (1998) “Design optimization of cutting parameters for turning operations based on the Taguchi method” Journal of materials processing technology (page no.123) 14. SrinivasaReddyVempatia, K.Brahma Raju, K.VenkataSubbaiah (2018), Optimization of Welding Parameters of Ti 6al 4v Cruciform shape Weld joint to Improve Weld Strength Based on Taguchi Method, Materialstoday Proceedings, Volume 5, Issue 2, Part 1,Pages 4948-4957 15. Shanmugarajan B, RishabhShrivastava, Sathiya P, BuvanashekaranG (2016), Optimisation of laser welding parameters for welding of P92 material using Taguchi based grey relational analysis, Defence Technology, Volume 12, Issue 4, Pages 343-350. 16. G.Ugrasen G, Bharath, G. Kishor Kumar, R.Sagar, P.R.Shivu, R.Keshavamurthy (2018), Optimization of Process Parameters for Al6061-Al7075 alloys in Friction Stir Welding using Taguchi’s Technique, Materialstoday Proceedings, Volume 5, Issue 1, Part 3, Pages 3027-3035.

Authors: Aravindhan. C, Vasudevan M, Arun M Paper Title: Numerical Modeling on Behavior of Concrete under Elevated Temperatures Abstract: Thermal behavior of structural members has become a topical interest with in field of civil engineering due to the major fire accidents in buildings. The thermal behavior of the structural members subjected to thermal conductivity will give an overview about how they react with temperature. Concrete 21. elements exposed to fire, as a result it undergoes spalling and exposing steel reinforcement. The experimental study on the behavior of structural members is hazard, costly and time consuming. In this work finite element 110-113 modeling was carried out for Normal and Self Compacting concrete beams under elevated temperatures. Finite element modeling of the beams was done using ANSYS 11 software. These beams were heated as per IS-3809 Time- Temperature curve. This study is extended for different grades of concrete such as M25, M30, M35, M40 and different nominal cover as per IS 456-2000. Reduced strength and increased deflection was observed on temperature loads, the changes in behavior of Normal and SCC beams on temperature loads. It was observed from the analysis that when the grade of concrete increases the reduction in strength also increases.

Keywords: Self compacting concrete, Normal compacting concrete, Elevated temperature, Finite element Analysis, Time- Temperature Curve, Ultimate compressive strength..

References: 1. R.A. Hawileh, M. Naser, W. Zaidan and H.A. Rasheed, “Modeling of insulated CFRP-strengthened reinforced concrete T-beam exposed to fire”, Engineering Structures 31 (2009) 3072-3079. 2. Zhaohui Huang, “Modelling the bond between concrete and reinforcing steel in a fire”, Engineering Structures 32 (2010) 3660–3669. 3. Ilker Bekir Topcu, Ahmet Raif Boga, Abdullah Demir, “Influence of cover thickness on the mechanical properties of steel bar in mortar exposed to high temperatures”, Fire and Materials, Volume 35, Issue 2, pages 93–103, March 2011 4. Anand N and Prince Arulraj G, “Experimental Investigation on Mechanical properties of Self Compacting Concrete under elevated Temperatures”, International Journal of Advances in Mechanica and Civil Engineering, Feb 2015, pp 15-19 5. IS 3809-1979, “Fire Resistance Test of Structures”. 6. IS 456-2000, “Plain and Reinforced Concrete-Code of Practice”

Authors: T.Rajesh, S.Arun jayakar, G.M.Tamilselvan Paper Title: Deep Learning based Nonlinear Active Suspension Control Abstract: Design of comfortable and effective active-suspension system of the vehicle has been enthralling and tough control-engineering workbench-problem. Passive and active suspension system model has been outlined as Quarter model (1/4th wheels) with spring-damper arrangement. The proposed model is for a execution of active- suspension system with actuator (final control element) is incorporated that can create the control output, ‘Uc (t)’ to control the movement of the vehicle. This paper proposes Deep learning based Modified PSO (DMPSO) for effective nonlinear active suspension system. In the General PSO, the development of a molecule is represented by three practices to be specific latency, intellectual and social. The subjective conduct helps the molecule to recall its past went to best position. This proposed PSO splits the psychological conduct into two segments like previous (past) went by finest (best) position and furthermore past went to most perceptibly appalling position. This change causes the molecule to look through the objective exceptionally successfully. DMPSO approach is proposed to increasing ride comfort results in slighter damping and superior suspension strokes in the vehicle.

Keywords: Dynamic system; Suspension; modeling; PID; Optimization; DMPSO.

References: 1. M. Mitschke and H. Wallentowitz-Dynamik der Kraftfahrzeuge. Berlin, Germany: Springer Verlag, 2004. 2. S. M. Savaresi, C. Poussot-Vassal, C. Spelta, O. Sename, and L. Dugard, Semi-Active Suspension-Control Design for Vehicles. London, U.K.: Butterworth, 2010. 3. D. Fischer and R. Isermann, “Mechatronic semi-active and active vehicle-suspensions,” Control Eng. Pract., vol. 12, no. 11, pp. 1353– 22. 1367, 2004. 4. B. Lohmann T. Kloiber, and G. Koch, , “Modified-optimal control of a nonlinear active-suspension system,” in Proc. 49th IEEE Conf. 114-118 Decision Control, Dec. 2010, pp. 5572–5577. 5. S. Savaresi, E. Silani, and S. Bittanti, “Acceleration driven-damper (ADD): An optimal control algorithm for comfort oriented semi- active suspensions,” ASME-Trans., J. Dyn. Syst., Meas. Control, vol. 127, no. 2, pp. 218–229, 2005. 6. R. Ramirez-Mendoza C. Poussot-Vassal, A. Drivet, O. Sename, and L.Dugard, “A self-tuning-suspension controller for multi-body quarter-vehicle model,” in Proc. 17th IFAC World Congr., 2008, pp. 3410–3415. 7. S. Savaresi and C. Spelta, “A single-sensor control strategy for semi-active suspensions,” IEEE Trans. Control Syst. Technol., vol. 17, no. 1, pp. 143–152, Jan. 2009. 8. M. Milanese, M. Canale, and C. Novara, “Semi-active suspension-control using ‘fast’ model-predictive techniques,” IEEE Trans. Control Syst. Technol., vol. 14, no. 6, pp. 1034–1046, Nov. 2006. 9. C. Lauwerys, J. Swevers, and P. Sas, “Robust linear-control of an active suspension on a quarter car test-rig,” Control Eng. Pract., vol. 13, no. 5, pp. 577–586, 2005. 10. E. Slotine-L. Zuo, J.-J., and S. A. Nayfeh, “Model reaching adaptive-control for vibration isolation,” IEEE Trans. Control Syst. Technol., vol. 13, no. 4, pp. 611–617, Jul. 2005. 11. C. Spelta-S. Savaresi, “Mixed sky-hook and ADD: Approaching the filtering limits of a semi-active suspension,” ASME Trans., J. Dynamic Syst., Meas. Control, vol. 129, no. 4, pp. 382–392, 2007. 12. Y. Zhang and A. Alleyne, “A practical and effective approach to active suspension control,” Veh. Syst. Dynamics, vol. 43, no. 5, pp. 305–330, 2005. 13. I. J. Fialho and G. J. Balas, “Road adaptive-active suspension design using linear parameter-varying gain-scheduling,” IEEE Trans. Control Syst. Technol., vol. 10, no. 1, pp. 43–54, Jan. 2002. 14. A. Zin,-O. Sename, P. Gaspar, L. Dugard, and J. Bokor, “Robust LPV- control for active suspensions with performance adaptation in H∞ view of global chassis control,” Veh. Syst. Dynamics, vol. 46, no. 10, pp. 889–912, 2008. 15. A. Akbari, “Multi-objective H∞-GH2 preview-control of active vehicle suspensions,” Ph.D. dissertation, Inst. Automatic Control, Faculty Mech. Eng., TU München, München, Germany, 2009.

Authors: N.Saravanakumar, K.N.VijeyaKumar, K.Sakthisudhan, S.Saranya Paper Title: Design and Implementation of Low Power Energy Efficient Binary Coded Decimal Adder Abstract: A novel architecture for low power decimal addition using binary representation is presented in this paper. The proposed BCD adder uses Binary to Excess Six Converter (BESC) block for constant correction to adjusts binary outputs exceeding 9 to correct decimal values and exploits the inherent advantage of reduced delay 23. and switching, due to elimination of long carry propagation in second stage addition as in conventional design and switching OFF of the BESC block for decimal outputs less than 9. The proposed adder design is done using 119-125 VHDL code and implemented in Altera Quartus board. The results demonstrates that the proposed decimal adder can lead to significant power savings and delay reduction compared to existing BCD adders which is realised in better power-delay product(PDP) performance. For example the PDP saving of the proposed BESC-BCD adder for a 1 digit and 2 digit addition implementations are 11.6% and 16.05% respectively, compared to the best of the designs used for comparison.

Keywords: Ripple Carry adder, Constant correction, Binary to Excess Six Conversion, Terahertz Optical Asymmetric Demultiplexer.

References: 1. http:// webster.cs.ucr.edu / AoA / Windows / HTML / Advanced Arithmetica6.html – Chapter 4 More data representation – subsection 4.3 - Basics of Binary Coded Decimal (BCD) Representation 2. Behrooz Shirazi, David Y.Y.Yun , and Chang N.Zhang,“VLSI Designs for Redundant Binary-Coded Decimal Addition”, Proc. of 7th IEEE International Phoenix Conference on Computers and Communications, Scottsdale, AZ, pp.52-56, March 1988. 3. Robert D. Kenney and Michael J. Schulte, “High-Speed Multi-operand Decimal Adders”, IEEE Transactions On Computers, Vol.54, No.8, pp.953-963, August 2005. 4. Hafiz Mohammed Hasan Babu and Ahsan Raja Chowdhury, “Design of a Reversible Binary Coded Decimal Adder by Using Reversible 4-bit Parallel Adder”, Proc. of 18th IEEE International Conference on VLSI design (VLSID), 2005. 5. Himanshu Thapliyal, Saurabh Kotiyal and M.B Srinivas, “Novel BCD Adders and their Reversible Logic Implementation for IEEE 754r Format”, Proc. of the 19th International Conference on VLSI Design (VLSID’06) 2006. 6. Himanshu Thapliyal and Nagarajan Ranganathan, “A New Reversible Design of BCD Adder”, in Proc. of Design, Automation and Test in Europe Conference & Exhibition (DATE),pp. 1-4, 2011. 7. Sreehari Veeramachaneni.M, M.Kirthi Krishna, Lingamneni Avinash, Sreekanth Reddy M.B.Srinivas, “Novel, High-Speed 16-Digit BCD Adders Conforming to IEEE 754r Format” IEEE Computer Society Annual Symposium on VLSI (ISVLSI'07), 2007. 8. Alp Arslan Bayrakci and Ahmet Akkas, “Reduced Delay BCD Adder”, IEEE International Conference on Application Specific Systems, Architectures and Processors(ASAP), Montreal, Que. , pp.266-271, 2007. 9. Anshul Singh, Aman Gupta, Sreehari Veeramachaneni.M and M.B. Srinivas, “A High Performance Unified BCD and Binary Adder / Subtractor”, IEEE Computer Society Annual Symposium on VLSI, pp.211-216 2009. 10. Sreehari Veeramachaneni.M, Kirthi Krishna.V, Prateek G.S, Subroto.S, Bharat, M.B.Srinivas, “A Novel Carry- Look Ahead Approach to a Unified BCD and Binary Adder/Subtractor”, 21st International Conference on VLSI Design 2008, pages 547-552, January 2008. 11. Gayen D.K, Bhattacharyya A, Pal R.K, Roy, J.N “All optical binary coded decimal adder” in Proc. of 4th International conference on Computers and Devices for communication, Kolkata, pp.1-4, 2009. 12. Chetan Kumar V, Sai Phaneendra P, Syed Ershad Ahmed, Sreehari Veeramachaneni, N, M.B Srinivas,“A Unified Architecture for BCD and Binary Adder/Subtractor” , in Proc. of 14th Euromicro Conference on Digital System Design pp.426-429 2011. 13. SundaresanC, Chaitanya CVS, PR Venkateswaran, Somashekara Bhat and Mohan Kumar J, “Modified Reduced Delay BCD Adder”, Proc. of IEEE4th International Conference on Biomedical Engineering and Informatics (BMEI) 2011, pages 2148-2151. 14. Vibhuti Dave, Erdal Oruklu and Jafar Saniie, “Constant addition with flagged binary adder arhitectures”, Integration the VLSI journal, Vol.43, pp. 258–267, 2010. 15. Shuli Gao, Al-khalili,D, Chabini N, “An improved BCD adder using 6-LUT FPGAs” Proc. of 10th IEEE International New circuits and systems conference(NEWCAS), Montreal, QC , pp.13-16, 2012. 16. Vijeyakumar, K.N, Sumathy, V. Dinesh babu, A. Elango S. and Saravanakumar, S. “FPGA implementation of low power Hardware efficient Flagged Binary Coded Decimal Adder”, International Journal of Computer Applications, Vol 46, No.14, pp.41-45, May 2012. 17. Dr.N.saravanakumar, Dr.K.SakthiSudhan and Dr.K.N.vijeyakumar “FPGA Implementation of High Speed Hardware Efficient Carry Select Adder”, International Journal of Reconfigurable and Embedded System(IJRES) , Vol. 7, No. 1, pp.43-47, March 2018. 18. Min Cha Earl.E.Swartzlander, Jr. “Modified carry-skip adder for reducing first block delay”, Proc. of 43rd Midwest symposium on circuits and systems, August 2000. 19. Moris Mano - Digital design 3rd edition Prentice Hall Puclication 2001. 20. Ashis Kumer Biswas, Md. Mahmudul Hasan, Moshaddek Hasan, Ahsan Raja Chowdhury and Hafi Md. Hasan Babu, “A Novel Approach to Design BCD Adder and carry Skip BCD Adder”, 21st International Conference on VLSI Design pp. 566-571 2008. 21. Shuli Gao, Al-khalili,D, Chabini N, “An improved BCD adder using 6-LUT FPGAs” Proc. of 10th IEEE International New circuits and systems conference(NEWCAS), Montreal, QC , pp.13-16, 2012..

Authors: P.Magudeswaran, R.Senthilkumar, Indra Getzy David Paper Title: AGRIoT Abstract: India is an agriculture oriented nation. Our economic growth more depends on agricultural products. So, if we adopt efficient technologies means it will give assurance in our outcome. Internet of Things or IoT is the new paradigm which can raise the potential to latest advancements. Here, the experiment with Internet of Things (IoT) in the area of agriculture will be prepared. Things can refer to sensors that can be used to calculate various parameters of the ground such as soil moisture, humidity, and temperature. The statistics received from the cropland is kept in the server. Using this collected data, investigation is completed to estimate the water required to the crop. It can be calculated using the ET (Evapotranspiration) algorithm. Before choosing the fertilizer values, we should ensure the actual ingredient of the soil. It will lead to effective crop production. The system also schedule the irrigation time and sowing date will be an added advantage of our system. Integrating all this efforts will lead the agricultural system as a smart one for us. 24. Keywords: Internet of Things, ET Algorithm, IoT, Effective Agriculture. 126-129

References: 1. https://www.iotforall.com/iot-applications-in-agriculture. 2. http://cropin.co.in/ 3. https://app.smart-fertilizer.com/login 4. https://www.iotforall.com 5. J.Doorenbos,W.OPrult,A.Aboukhaled,J.Damagnez,N.G Dastane,C.VanDenBerg,P.ERijterna,O.M.Ashford,M. Frere, FAO Field Staff, “Crop Water Requirements”,FAO IrrigationandDrainagepaper24. 6. UNDERSTANDING YOURSOIL ANALYSIS REPORT, Peaceful Valley Farm Supply. 7. http://www1.agric.gov.ab.ca/$department/deptdocs.nsf/all/crop1273 8. http://www.ikisan.com 9. Santosh Kumar Garg “Irrigation Engineering and Hydraulic Structures “by, 32nd revised edition, Khanna Publishers. 10. Arshdeep bagha, Madisetti, “Internet of Things A hands on approach”, Universities press (India) private limited, 2015.

Authors: V. Mohanapriya, V.Manimegalai, B.Indurani 25. Paper Title: Fuzzy Controller Based Torque Control of Single Phase Induction MotorUsing Dynamic Capacitor Abstract: This thesis proposes a completely unique technique for the performance improvement of SPIM with dynamic capacitor by suggesting fuzzy logic con-troller by comparing with electrical condenser. In order to get the better performance various control techniques are used for 3Φ induction motor. The Voltage Source Inverter (VSI) is controlled by changeable capacitor in SPIM. The maximum torque is developed by the series connected variable capacitor and auxiliary winding which maintains the currents in 90° out of phase with each other .The proposed system is simulated in MATLAB 7.6 / simulink environment.

Keywords: Single phase Induction motor, phase angle, Fuzzy Controller, Fixed capacitor, Dynamic capacitor .

References: 1. Ba-thunyaAS., khopkar wei R,Toliyat HA, 2001, “1Φ induction motor drives-a literature survey”, in Proceedings of IEEE International Electric Machines and Conference, pp. 911 - 916. 2. Rahman MF,Zhong L, 1995, “1Φ Regenerative Variable Speed Induction Motor Drives”. in Proc. of EPE conf, pp. 3773 – 3780 3. Rahman MF,Zhong L, 1990, “A Current Forced Reversible Rectifier Fed 1Φ Variable Speed Induction Motor Drive”, in Proc. of IEEE PESC’90, pp.114 – 119. 130-133 4. Jacobian MBR,Lima CB,DaSilva AMN, Correa,”Field oriented control of a single phase induction motor drive,”in Proceeding of 29th Annual IEEE Power Electronics Specialists Conference,PSEC’9.Vol. no.2,17-22 May1998, pp.no.990-996. 5. Jang D,Choe G and Ehsani M, March 1995, “Asymmetrical PWM Technique with Harmonic Elimination and PF control in ac choppers”, IEEE Transcations on Power Electronics,Vol.no. 10, No. 2, pp. 175 - 184 6. Jang D and Yoon D, 1999, “Space Vector PWM Technique for Two-Phase Inverter-Fed Single-phase Induction Motors", in Proc. of IEEE Conference, pp. 47 – 53 7. Rahman MF,Zhong L, 1990, “A Current Forced Reversible Rectifier Fed 1Φ Variable Speed Induction Motor Drive”, in Proc. of IEEE PESC’90, pp.114 - 119 8. Enjeti PN and Rahman A, 1983, “A New Single-Phase to Three Phase Converter with Active Input Current Shaping for Low Cost Ac Motor Drives”, in conf.Rec.IEEE-IAS Annu Meeting, pp. 935 – 939 9. Muljadi E, Zhao Y, Liu T and Lipo TA, May/June 1993, “Adjustable ac Capacitor for a Single-phase Induction Motor”, IEEE Transactions on Industry Applications, Vol. 29, No. 3, pp.479 – 485 10. Novotny DW, Lettenmaier TA and Lipo, Jan/Feb 1991, “1Φ Induction Motor With an Electronically Controlled Capacitor”, IEEE Trans. Ind Application, Vol.no. 27, pp. 38 – 43 11. Liu CC,Young CM and Liu CH, Nov1996, “New inverter driven design and control method for two phase induction motor drives”, in Proc. of IEE Elect.Power Applicat., Vol.no. 143, No. 6, pp. 458 - 466

Authors: Vignesh S, Naveen R, Sajath Kumar, Lakshmanan D, Vadivelu P Paper Title: Investigation Of Limit Cycle Oscillations Of Transport Aircraft Abstract: The Limit Cycle Oscillations (LCO) produced at the time of cruising flight segment is a serious concern in the large airplanes. The three dimensional fully coupled Fluid-Structural Interaction (FSI) analysis on a swept back wing with control surface is a challenge due to many uncertainties. To measure nonlinear aeroelastic phenomena like LCO caused by fluid-structure interaction in transonic range, Computational Fluid Dynamics (CFD)/ Computational Structure Dynamics (CSD) coupled simulations is proposed. It reveals the specific properties of the wing with control surface modal and allows the investigation of unstable behavior using experimental or numerical solution at transonic flow conditions. The simulation is done using Reynolds Averaged Navier Stokes (RANS) equations coupled with Spalart–Allmaras one- equation turbulence model. The obtained LCO frequency, amplitudes, mean lift and moment values are used to analyze the nonlinear aerodynamic effects. The solutions are reliant on the initial fields or perturbation. The LCO with very small amplitudes are determined by the developed (CFD)/ (CSD) simulation. This is endorsed to the fully coupled FSI turbulence model of higher order low diffusion schemes.

Keywords: Aeroelasticity, Limit Cycle Oscillation, Uncertainties, Coupled FSI Analysis, Frequency Response, Nonlinear aerodynamics, CFD/CSD, Navier-Stokes equations, Transonic region, Simple design framework methodology

26. References: 1. Bernd Stickan, Johannes Dillinger, Gunter Schewe, (2012) “Computational aeroelastic investigation of a transonic limit-cycle- 134-138 oscillation experiment at a transport aircraft wing model”, Journal of Fluids and Structures, vol. 49, pp. 223-241. 2. Cui Peng, Jinglong Han.,(2011) “Numerical investigation of the effects of structural geometric and material nonlinearities on limit- cycle oscillation of a cropped delta wing”, Journal of Fluids and Structures, vol. 27, no. 4, pp. 611–622. 3. Dang Huixue, Yang Zhichun, Li Yi, (2010) “Accelerated loosely-coupled CFD/CSD method for nonlinear static aero elasticity Analysis”, Aerospace Science and Technology, vol. 14, no. 4, pp. 250–258. 4. Baoyuan Wang, Ge-Cheng Zha, (2010) “Numerical simulation of transonic limit cycle oscillations using high-order low-diffusion schemes”, Journal of Fluids and Structures, vol. 26, no. 4, pp. 579–601 5. Morteza Dardel, Firooz Bakhtiari-Nejad, (2009) “A reduced order of complete aeroelastic model for limit cycle oscillations”, Aerospace Science and Technology, Vol.14, no. 2, pp. 95-105. 6. Tang D M, Yamamoto H, Dowell E H, (2003) “Flutter and limit cycle oscillations of two dimensional panels in three-dimensional axial flow”, Journal of Fluids and Structure, vol. 17, no. 2, pp. 225–242. 7. Beran P S, Luciab D J, Pettit C L, (2004) “Reduced-order modelling of limit-cycle oscillation for aeroelastic systems”, Journal of Fluids and Structures, vol. 19, no. 5, pp. 575–590. 8. Bernd Stickan, Johannes Dillinger, Gunter Schewe, (2012) “Computational aeroelastic investigation of a transonic limit-cycle- oscillation experiment at a transport aircraft wing model”, Journal of Fluids and Structures, vol. 49, pp. 223-241. 9. Attar P J, Gordnier R E, (2005) “Aeroelastic prediction of the limit cycle oscillations of a cropped delta wing”, Journal of Fluids and Structures, vol. 22, no. 1, pp. 45–58. 10. Demasi L and Livne E, (2009) “Aeroelastic coupling of geometrically nonlinear structures and linear unsteady aerodynamics: Two formulations”, Journal of Fluids and Structures, vol. 25, no. 5, pp. 918–935. 11. Dai Yuting, Yang Chao, (2014) “Methods and advances in the study of aeroelasticity with uncertainties”, Chinese Journal of Aeronautics, vol. 27, no. 3, pp. 461–474..

27. Authors: Sajan P. Philip, P. Sampath, P.V. Devakumar, S. Elango Paper Title: FPGA Implementation of Low power Adaptive filter architecture Abstract: We present a hardware architecture of adaptive filter for high throughput, low power and low area using distributed arithmetic (DA). Digital signal processing algorithms basically depends on a large number of multiplications and additions. Distributed arithmetic is an useful technique to perform MAC (Multiply And Accumulate), which is a very common operation in Digital Signal Processing Algorithms and also used to calculate inner product or simply MAC. This DSP multiplication is naturally both time and power consuming and also achieving high performance is one of the prime targets in DSP applications.

References: 1. C.H. Wei and J.J. Lou, “Multi-memory block structure for implementing a digital adaptive filter using DA,” IEE Proceedings, volume 133, pages. 19–26, Feb., 1986. 2. C.F.N. Cowan and J. Mavor, “New digital adaptive-filter implementation using DA techniques,” IEE Proceedings, volume 128, pages. 225–230, Feb., 1981. 139-142 3. D.J. Allred, H. Yoo, V. Krishnan, W. Huang, and D.V. Anderson,“LMS adaptive filters using distributed arithmetic for high throughput,” IEEE Transactions on Circuits and Systems, volume 52, pages 1327–1337, July, 2005. 4. D.J. Allred, H. Yoo, V. Krishnan, W. Huang, D.V. Anderson, “A novel high performance DA adaptive filter implementation on an FPGA,” IEEE International Conf. on Acoustics, Speech, and Signal Processing, volume 5, pages–161–164, Mar. 2004. 5. S.A. White, “Applications of DA to digital signal processing: A tutorial review,” IEEE ASSP Magazine, volume 6, pages 4–19, Jul. 1989. 6. A. Croisier, D. Esteban, M. Levilion, V. Rizo, “Digital filter for PCM encoded signals,” U.S. patent number 3,777, Apr., 1973. 7. D.J. Allred, H. Yoo, V. Krishnan, W. Huang, D.V. Anderson, “An FPGA implementation for a high throughput adaptive filter using DA,” 12th Annual IEEE Symposium on FPGA and Custom Computing Machines, pagesp. 324–325, Jan. 2004. 8. A. Peled and B. Liu, “A new hardware realization of digial filters,” IEEE Trans. on Acoustics, Speech and Signal Processing, volume 22, pages 456–462, Dec. 1974.

Authors: Selvakumar A, Anandha Moorthy A, Sundaresan S, Prakash C Preparation, wear resisting property and application of MWCNTs/Ni composite coating for Sewing Paper Title: Needles Abstract: In this research work, multiwall carbon nanotube (MWCNT) based nickel coating is prepared and deposited on unfinished metal made sewing needle by employing electrochemical process. The coating thickness was attained to 3 microns per 90 minutes. The microstructure, micro-hardness, friction and wear properties of the Nickel-MWCNTs coatings were investigated and discussed. The uniformity and presence of primary components in the coating layer were observed and confirmed through scanning electron microscope. The friction and wear behavior of the coated and uncoated samples were tested on a pin-on disc tester. The specific wear rate of the coated sewing needle is improved significantly than the uncoated sewing needle; the co-efficient of friction of the coated needle is reduced to 2.1. The surface roughness of the coatings was measured by employing portable surface roughness tester. The surface roughness Ra of the coated sample is improved to 0.095. The Vickers hardness of the coated needle is improved to 63 compared with the uncoated needle.

References: 1. A. Chatterjee and B. L. Deopura, Carbon Nanotubes and Nanofibre, Fibres and polymers, 2002, Vol.3 (4) pp.134–139. 2. Agarwala, R. C., Agarwala, V. Sadhana, Electroless Ni-P Based Nanocoating Technology 2003, Vol. 28 (3&4), pp.475–493. 3. Brenner, Riddell, G. Res. Nat. U.S. Bur. Stand. 1946, Vol. 37, pp.31. 28. 4. Kuo, S. L.; Chen, Y. C.; Ger, M. D.; Hwu, Nano-particles dispersion effect on Ni/Al2O3 composite coatings,Mater Chem Phys., 2004, Vol.86, pp.5–10 5. Glenn O. Mallory, The Fundamental Aspects of Electroless Nickel Plating, Chapter 1, pp. 26–7. 143-147 6. J. Tan, T. Yu, B. Xu and Q. Yao, Microstructure and wear resistance of nickel-carbon nanotube composite coating from brush plating technique, Tribology Letters, 2006, Vol. 21 (2), pp.107–111. 7. Yang Hua, Shi Yun, Xu Bin Shi, Hu Zhan-feng, Preparation, wear resisting property and application of MWCNTs/Ni composite coating for Remanufacturing engineering, 1998,Vol.1, pp.25–31. 8. Sudagar J, Venkateswarlu K and Lian J. Dry sliding wear properties of a 7075-T6 aluminum alloy coated with Ni-P (h) in different pretreatment conditions. J Mater Eng Perform., 2010, Vol. 19, pp. 810–818. 9. X. H. Chen, S. Chen, H.N. Xiao, H.B. Liu, L.P. Zhou, S.L. Li and G. Zhang, Dry Friction and Wear Characteristics of Nickel/Carbon Nanotube Electroless Composite Deposits, Tribology International, 2006 , Vol. 39, pp. 22–28. 10. C. R. Carpenter, P. H. Shipway, and Y. Zhu, Electrodeposition of nickel-carbon nanotube nanocomposite coatings for enhanced wear resistance, Wear, 2011, Vol. 271, No. 9-10, pp. 2100–2105. 11. Selvakumar, A, Perumalraj, R, Sudagar, J & Mohan, S, Nickel-multiwalled carbon nanotube composite coating on aluminum alloy rotor for textile industries, Proceedings of the Institution of Mechanical Engineers - Part L: Journal of Materials: Design and Applications, 2016, vol. 230, no. 1, pp.319–327. 12. Selvakumar, A, Perumalraj, R, Jeevananthan, P. N. R., Archana, S, Sudagar, J, Electroless NiP-MWCNTs composite coating for textile industry application, Surface Engineering. 2016, Vol. 32, no. 5, pp. 338–343. 13. Vladimir Marascu-Klein, Vl, A New Model for Advanced Manufacturing Systems. Optimum technologies, Romanian Academy, Branch Office of Iasi, Bacau, 1996, pp.27–30. 14. I.E.Ayoub, Nano particle-based permanent treatments for textiles, United State Patent, 2003, Vol.no.6, 607, pp.994–997. 15. Susumu Aria, J. Voyer and S. Simard, Tagungsband Conference Proceedings, UTSC, 1999, pp.122–127.

Authors: V. Vaideeswaran, N. Sankar Paper Title: Control Techniques of Three Phase PWM Rectifier Abstract: This paper provides various control techniques of three phase PWM Rectifiers are presented. The working principle of three phase PWM Rectifiers is explained and three control techniques are presented. These control techniques are simulated in MATLAB/Simulink and the results from each control techniques are 29. compared on the basis of Total Harmonic Distortion and Power factor. The FFT analysis of each control 148-152 techniques are analyzed using MATLAB/Simulink. Also advantages and disadvantages of each control techniques are presented in this paper.

References: 1. P.Manikandan, SP. Umayal, Mariya Chithra Mary, M.Ramachandran, ”Simulation An Hardware Analysis Of Three Phase PWM Rectifier With Power Factor Correction”, IOSR Journal of Electrical and Electronics Engineering, Volume 8, Issue 1, pp. 27-33, November 2013. 2. Mariusz Malinowski, Marian P. Kazmierkowski, Andrzej M. Trzynadlowski, ”A Comparative Study of Control Techniques for PWM Rectifiers in AC Adjustable Speed Drives”, The 27th Annual Conference of the IEEE Industrial Electronics Society, Reno,US, Volume 2, pp. 1114-1118, February 2002. 3. S.Sato, Y.Suehiro, S.Nagai, K.Morita, ”High Power Factor 3-phase PWM Rectifier”, INTELEC’00, pp. 711-718, September 2000. 4. J. Rodriguez, J. Dixon, J. Espinoza and P. Lezana, “PWM Regenerative Rectifiers: State of the Art”, IEEE Transactions on Power Electronics. 5. Muhammad H. Rashid., " Power Electronics Handbook" Academic Press. ISBN 0-12-581650-2, Chapter12, Juan W. Dixon.," Three Phase Controlled Rectifiers", 2001. 6. S. Begag, N. Belhaouchet and L. Rahmani, ”Three Phase PWM Rectifier with Constant Switching Frequency”, Journal of electrical systems, Special Issue 01, pp. 7-12, November 2009. 7. J. Chelladurai, B. Vinod, “Performance Evaluation of Three Phase Scalar Controlled Pwm Rectifier Using Different Carrier and Modulating Signal”, Journal of Engineering Science and Technology, April 2015, Vol. 10(4). 8. Michal Knapczyk, Krzysztof Pienkowski, “Analysis of Pulse width modulation techniques for AC/DC line-side converter”, Scientific Works of the Institute of Electrical Machines, Drives and Measurements No. 59 University of Wroclaw, 2006.

Authors: S.ArunKumar, S.Sasikala, K.Kavitha Paper Title: Towards Enhancing Engineering Education through Innovative Practices in Teaching Learning Abstract: Engineering is a discipline which demands lot of analytical skills, technical expertise and intuitive understanding. The quality of students produced by engineering institutes is deteriorating at a rapid pace. Academic Institutions play a major role in creating high quality engineers with needed skill set to face global competition. However, the use of conventional teaching learning pedagogy limits producing high quality engineers. The proposed pilot study, aims at incorporating innovative methods in teaching learning pedagogy such as collaborative learning, peer learning, technology enabled learning and participative learning strategies for students with different learning styles. The impact of employing the innovative methods are assessed using students feedback, course end survey and assessment results. A significant improvement in the student performance claims the effectiveness of proposed techniques to improve the in-depth understanding, employability rate and knowledge level of budding engineers.

Keywords: Pedagogy, teaching learning, active learning, col- laborative learning, peer learning, technology enabled learning.

References: 1. Sujatha, “Engineer Education In India Fails To Impart Requisite Skills”, Maps of India, Web, May 2017. https://www.mapsofindia.com/my- india/society/engineer-education-in-india-fails-to-impart-requisite-skills“India is in the middle of an engineering education crisis ”, The Economic Times, Web, April 2018. 2. Press Trust of India, “ Quality of engineers very sub-standard in India”,The Hindu, Web, September 2016. 3. Reddy, A. Ram Bhupal, and MedaVinay Kumar “Improving the quality of engineering education in India: A research on ICT based education system in RGUKT,” In MOOC, Innovation and Technology in Education (MITE), 2014 IEEE International Conference on, pp. 313-316. IEEE, 2014. 4. R.K. Kavitha, V. JalajaJayalakshmi, and R. Rassika “Collaborative learn- ing in Computer Programming Courses using E-Learning 30. Environments,” in International Journal of Pure and Applied Mathematics ,vol. 118, no. 8, pp. 183-189, 2018. 5. Boud, David, and Alison Lee “Peer learning as pedagogic discourse for research education,” in Studies in Higher Education 30, no. 5 153-159 (2005): 501-516 6. Amira, Ruslin, and ZalizanMohdJelas “Teaching and learning styles in higher education institutions: Do they match?.” in Procedia- Social and Behavioral Sciences 7 (2010): 680-684. 7. olak, Esma “The Effect of Cooperative Learning on the Learning Approaches of Students with Different Learning Styles.” in Eurasian Journal of Educational Research 59 (2015): 17-34. 8. Desai, Padmashree, and G. H. Joshi “Activity based teaching learning in software engineering-An experience.” in Engineering Education: Inno- vative Practices and Future Trends (AICERA), 2012 IEEE International Conference on, pp. 1-6. IEEE, 2012. 9. Riechmann, Sheryl Wetter, and Anthony F. Grasha “A rational approach to developing and assessing the construct validity of a student learning style scales instrument.” in The Journal of Psychology 87, no. 2 (1974): 213-223. 10. Anderson, Lorin W., David R. Krathwohl, Peter W. Airasian, KathleenA. Cruikshank, Richard E. Mayer, Paul R. Pintrich, James Raths, and Merlin C. Wittrock “A taxonomy for learning, teaching, and assessing: A revision of Blooms taxonomy of educational objectives, abridged edition.” White Plains, NY: Longman (2001). 11. Boud, David, Ruth Cohen, and Jane Sampson, eds " Peer learning in higher education: Learning from and with each other." Routledge, 2014. 12. Dillenbourg, Pierre "What do you mean by collaborative learning?." (1999): 1-19. 13. Dori, Yehudit Judy, and John Belcher "How does technology-enabled active learning affect undergraduate students' understanding of electro- magnetism concepts?." The journal of the learning sciences 14, no. 2 (2005): 243-279. 14. Tsien, Teresa BK, and MingsumTsui "A participative learning and teaching model: The partnership of students and teachers in practice teaching."Social Work Education 26, no. 4 (2007): 348-358. 15. Jayalakshmi, V. Jalaja, R. K. Kavitha, and S. Niroza "A study on pair programming effectiveness in a computer laboratory course," in International Journal of Science, Technology Management, vol.5 , no.1, 2016. 16. M. Dhivya, V. Bakyalakshmi, “Document Classification Using Hybrid Extreme Learning Machine”, International Journal of Innovations in Scientific and Engineering Research (IJISER), Vol 3 Issue 11 NOV 2016/102,pp84-93. 17. 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, 81-89. 18. V.Senthilkumar, B.Vinoth Kumar, P.Saranya, “Normalized Page count And Text based Metric For Computing Semantic Similarity Between Web documents”, Journal Of Advanced Research In Dynamical And Control Systems, Vol.-9, Sp– 6, 2017, Pp1865-1875..

Authors: K. Thilagavathi , A.Vasuki Paper Title: Dimension Reduction Methods For Hyperspectral Image: A Survey 31. Abstract: Hyperspectral imaging (HSI) is one of the progressive remote sensing techniques. HSI captures data in large number of continuous spectral bands with the spectral range from visible light to (near) infrared, so it is 160-167 capable of detecting and identifying the minute differences of objects and their changes in temperature and moisture. But its high dimensional nature makes its analysis complex. Various methods have been developed to reduce the dimension of hyperspectral image by feature extraction. This paper highlights the advantages and drawbacks of number of classical dimension reduction algorithms in machine learning communities for HSI classification.

Keywords: Hyperspectral imaging, dimension reduction, feature extrction, classification.

References: 1. Hyperspectral Remote Sensing-SPIE APRS Symposium 2016. Presymposium Tutorial. 2. K.Thilagavathi, R.Nagendran,’Remote Sensing Methods for Forestry Applications – A Survey’, International Journal for Science and Advance Research in Technology, Volume 3, Issue 5 in May 2017. ISSN [Online]: 2395-1052. 3. Randall B Smith. (2012), “Introduction to Hyperspectral Imaging”,International Journal of Microimages. 4. Deepa.P and K.Thilagavathi, ‘Data reduction Techniques of hyperspectral images: A comparative study’, in IEEE Explore. DOI: 10. 1109 / ICSCN. 2015. 7219866. (Published in International Conference on Signal Processing, Communication and Networking (ICSCN- 2015). 5. Peg Shippert,” Introduction to Hyperspectral Image Analysis, Research Systems, Inc. 6. L. Zhang, Y. Zhong, B. Huang, J. Gong, and P. Li, “Dimensionality reduction based on clonal selection for hyperspectral imagery,” IEEE Trans. Geosci. Remote Sens., vol. 45, no. 12, pp. 4172–4186, Dec. 2007. 7. W. Li, S. Prasad, J. E. Fowled, and L. Mann Bruce, “Locality-preserving dimensionality reduction and classification for hyperspectral image analysis,” IEEE Trans. Geosci. Remote Sens., vol. 50, no. 4, pp.1185–1198, Apr.2012. 8. Maya R. Gupta and Nathaniel P. Jacobson, “Wavelet Principal Component Analysis and Its Application to Hyperspectral Images”, IEEE, 2006. 9. Lori Mann Bruce, Cliff H. Koger, and Jiang Li. “Dimensionality Reduction of Hyperspectral Data Using Discrete Wavelet Transform Feature Extraction”. IEEE Transactions on Geoscience and Remote Sensing, Vol. 40, NO. 10, October 2002. 10. Antonio Plaza, Pablo Martínez, Javier Plaza, and Rosa Pérez “Dimensionality Reduction and Classification of Hyperspectral Image Data Using Sequences of Extended Morphological Transformations”. IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, No. 3, March 2005. 11. Anish Mohan, Guillermo Sapiro, and Edward Bosch. “Spatially Coherent Nonlinear Dimensionality Reduction and Segmentation of Hyperspectral Images”. IEEE Geoscience and Remote Sensing Letters, Vol. 4, No. 2, April 2007. 12. Jing Wang, and Chein-I Chang. “Independent Component Analysis- Based Dimensionality Reduction with Applications in Hyperspectral Image Analysis”. IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 6, June 2006. 13. Nicola Falco, Jón Atli Benediktsson, and Lorenzo Bruzzone, “A Study on the Effectiveness of Different Independent Component Analysis Algorithms for Hyperspectral Image Classification,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, June 2014. 14. Charles M. Bachmann, Thomas L. Ainsworth, and Robert A. Fusina. “Exploiting Manifold Geometry in Hyperspectral Imagery”. IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, NO. 3, March 2005. 15. Rouhollah Dianat and Shohreh Kasaei. “Dimension Reduction of Optical Remote Sensing Images via Minimum Change Rate Deviation Method”. IEEE Transactions on Geoscience and Remote Sensing, Vol.48, No. 1, January 2010. 16. Kitti Koonsanit, Chuleerat Jaruskulchai, and Apisit Eiumnoh. “Band Selection for Dimension Reduction in HyperSpectral Image Using Integrated Information Gain and Principal Components Analysis Technique”. International Journal of Machine Learning and Computing, Vol. 2, No. 3, June 2012. 17. Rabi N. Sahoo,Sourabh Pargal,Sanatan Pradhan ,Gopal Krishna,Vinod K. Gupta,(2013) “Processing of Hyperspectral Remote Sensing Data” Division of Agricultural Physics Indian Agricultural Research Institute. New Delhi. 18. Dimensionality Reduction using Band Selection Technique for Kernel based Hyperspectral Image Classification Reshma.R,V.Sowmyaa ,K.P.Somana. 6th International Conference on Advances in Computing & Communications, ICACC 2016, Cochin, India. Procedia Computer Science 93 (2016) 396 – 402. 19. Abhishek Agarwal, Tarek El-Ghazawi, Hesham El-Askary, and Jacquline Le-Moigne, “Efficient Hierarchical-PCA Dimension Reduction for Hyperspectral Imagery”, IEEE International Symposium on Signal Processing and Information Technology, 2007. 20. A.Plaza etal, “Recent advances in techniques for hyperspectral image processing” Remote Sensing of Environment 113 (2009) S110– S122. 21. J.S. Borges & A.R.S. Marc¸al, J.M.B. Dias, “Evaluation of feature extraction and reduction methods for hyperspectral images,” New Developments and Challenges in Remote Sensing, Z. Bochenek (ed.), 2007. 22. Deepa.P and K.Thilagavathi, ‘Feature Extraction of Hyperspectral Image Using Principal Component Analysis And Folded-Principal Component Analysis’ in IEEE Explore. DOI: 10.1109/ECS.2015.7124989 . (Published in International Conference on Electronics and Communication Systems- ICECS-2015). 23. Ufuk Sakarya. “Hyperspectral Dimension Reduction Using Global and Local Information Based Linear Discriminant Analysis”. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-7, 2014. 24. Zhang, D., He, J., Zhao, Y., Luo, Z. and Du, M., 2014. Global plus local: A complete framework for feature extraction and recognition. Pattern Recognition, 47(3), pp. 1433-1442. 25. Wei Li, Saurabh Prasad, James E. Fowler, and Lori Mann Bruce.“Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis”. IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 4, April 2012. 26. M. Sugiyama, “Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis,” J. Mach. Learn. Res., vol. 8, no. 5, pp. 1027–1061, May 2007. 27. S. Tadjudin and D. A. Landgrebe, “Robust parameter estimation for mixture model,” IEEE Trans. Geosci. Remote Sens., vol. 38, no. 1, pp. 439– 445, Jan. 2000 28. X. He and P. Niyogo, “Locality preserving projections,” in Advances in Neural Information Processing System, S. Thrun, L. Saul, and B. Schölkopf, Eds. Cambridge, MA: MIT Press, 2004. 29. Jinn-Min Yang, Pao-Ta Yu, Bor-Chen Kuo, and Ming-Hsiang Su.“Nonparametric Fuzzy Feature Extraction for Hyperspectral Image Classification”. International Journal of Fuzzy Systems, Vol. 12, No. 3, September 2010. 30. SU Junying, and Shu Ning. “A Dimensionality Reduction Algorithm of Hyper Spectral Image Based on Fract Analysis”. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008. 31. Qazi Sami ul Haq,Lixin Shi,Linmi Tao,Shiqiang Yang “A Robust Band Compression Technique for Hyperspectral Image Classification”. IEEE 2010. 32. Jia, X. and Richards, J. A. (1999) Segmented principal components transformation for efficient hyperspectral remote sensing image display and classification. 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Authors: Karthikeyan. R, Chandramouli. A, G. Srivatsun Paper Title: Ground Penetrating Radar (GPR) Antenna Design: A Comparative Study Abstract: A detailed study on Ultra-wideband (UWB) antennae equipped Ground Penetrating Radar (GPR) applications is done. High gain and wide bandwidth are the two antenna parameters to be considered for deep penetration in GPR applications. Among the many antennae, a comparative study on six different geometry is presented. The six different geometries include Planar, Slot, Horn, Vivaldi, Reflector and Bowtie are compared with respect to physical dimensions, operating frequency, S11, Gain and Bandwidth. Among these six structures, Vivaldi and slot antennae outperform the others with respect to gain as well as bandwidth. Planar monopole antennae are also highly preferred to achieve high gain and wide bandwidth. Use of planar for GPR applications is also suggested

Keywords: UWB antenna , GPR, S11, Gain, Planar Monopole..

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Immoreev and P. G. S. D. V. Fedotov, “Ultra wideband radar systems: advantages and disadvantages,” 2002 IEEE Conf. Ultra Wideband Syst. Technol. (IEEE Cat. No.02EX580), no. March, pp. 201–205, 2017. 9. Y. Zhang, D. Orfeo, D. Burns, J. Miller, D. Huston, and T. Xia, “Buried nonmetallic object detection using bistatic ground penetrating radar with variable antenna elevation angle and height,” vol. 10169, p. 1016908, 2017. 10. C. Baer, T. Musch, C. Schulz, and I. Rolfes, “A polarimetrie, low ringing UWB antenna for ground penetrating radar operation,” 2016 IEEE Antennas Propag. Soc. Int. Symp. APSURSI 2016 - Proc., no. July, pp. 2121– 2122, 2016. 11. Jamali and R. Marklein, “Design and optimization of ultra-wideband TEM horn antennas for GPR applications,” 2011 30th URSI Gen. Assem. Sci. Symp. URSIGASS 2011, pp. 1–4, 2011. 32. 12. Panzner, A. Jöstingmeier, and A. Omar, “A compact double-ridged for ground penetrating radar applications,” 18th Int. Conf. Microw. Radar Wirel. 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Hepbiçer, “Frequency Independent Self Complementary Bow Tie Antenna Design for Gpr Applications,” ANADOLU Univ. J. Sci. Technol. A - Appl. Sci. Eng., vol. 18, no. 1, pp. 131–131, 2017. 19. F. Sagnard, “Design of a Compact Ultra- Wide Band Bow-Tie Slot Antenna System for the Evaluation of Structural Changes in Civil Engineering Works,” Prog. Electromagn. Res. B, vol. 58, no. January, pp. 181–191, 2014. 20. R. Nayak, “Design and Simulation of Compact UWB Bow-tie Antenna with Reduced End-fire Reflections for GPR Applications,” no. 1, pp. 0–4. 21. M. Li, R. Birken, N. X. Sun, and M. L. Wang, “Compact Slot Antenna With Low Dispersion for Ground Penetrating Radar Application,” IEEE Antennas Wirel. Propag. Lett., vol. 15, pp. 638–641, 2016. 22. M. Li, R. Birken, N. X. Sun, and M. L. Wang, “Compact Slot Antenna with Low Dispersion for Ground Penetrating Radar Application,” vol. 1, no. c, pp. 1–4, 2015. 23. F. Zhang, G. Y. Fang, Y. C. Ji, H. J. Ju, and J.J. Shao, “A novel compact double exponentially tapered slot antenna (DETSA) for GPR applications,” IEEE Antennas Wirel. Propag. Lett., vol. 10, pp. 195–198, 2011. 24. P. Cao, Y. Huang, and J. Zhang, “A UWB monopole antenna for GPR application,” Proc. 6th Eur. Conf. Antennas Propagation, EuCAP 2012, pp. 2837–2840, 2012. 25. C. Bajracharya, S. Xiao, C. E. Baum, and K.H. Schoenbach, “Target detection with impulse radiating antenna,” IEEE Antennas Wirel. Propag. Lett., vol. 10, pp. 496–499, 2011. 26. N. A. Kumar, “Small Size Planar Monopole Antenna for High Speed UWB Applications,” pp. 1–5, 2016. 27. C. Ozdemir and B. Yilmaz, “Ultra Wide Band Horn Antenna Design for Ground Penetrating Radar : A Feeder Practice.” 28. A.E. C. Tan, K. Jhamb, and K. Rambabu, “Design of transverse electromagnetic horn for concrete penetrating ultrawideband radar,” IEEE Trans. Antennas Propag., vol. 60, no. 4, pp. 1736–1743, 2012.Hertl and M. Strý, “UWB Antennas for Ground Penetrating Radar Application,” pp. 0–3. 29. Y. W. Wang, G. M. Wang, and B. F. Zong, “ improvement of vivaldi antenna using double-slot structure,” IEEE Antennas Wirel. Propag. Lett., vol. 12, pp. 1380–1383, 2013. 30. Y. Ranga, S. Member, L. Matekovits, K. P. Esselle, S. Member, and A. R. Weily, “Multioctave Frequency Selective Surface 2014. Reflector for Ultrawideband Antennas,” vol. 10, pp. 219–222, 2011. 31. C. Waghmare and A. Kothari, “Spanner Shaped Ultra Wideband Patch Antenna,” pp. 7–10, 2014. 32. Y. Ranga, K. P. Esselle, L. Matekovits, and S.G. Hay, “Increasing the gain of a semicircular slot UWB antenna using an FSS reflector,” Proc. 2012 IEEE-APS Top. Conf. Antennas Propag. Wirel. Commun. APWC’12, pp. 478– 481, 2012.N. Kushwaha and R. Kumar, “High Gain UWB Antenna Using Compact Multilayer FSS,” pp. 100–103, 2014. 33. N. Kushwaha et al., “Design Of A High-Gain Ultra-Wideband Slot Antenna Using Frequency Selective,” vol. 56 34. Sharif, H. T. Chattha, N. Aftab, R. Saleem, and S. Rehman, “A Tree Shaped Monopole Antenna for GPR Applications,” no. November, pp. 3–5, 2015. 35. Ahmed, Y. Zhang, D. Burns, D. Huston, and T. Xia, “Design of UWB antenna for air- coupled impulse ground-penetrating radar,” IEEE Geosci. Remote Sens. Lett., vol. 13, no. 1, pp. 92–96, 2016.

Authors: S.Kaliappan, A.Ezhilarasi, S.AbhianayaPriya, N.J.Nivetha Paper Title: Embedded system based home Security Surveillance Using Raspberry pi Abstract: This paper is based on home based security system. In modern world people are instructed on home automation, but don’t care about home security. Security is much more important than automation of home because it can save life and commodity of the people. This paper proposes two main important aspects. One of the processes is automatic sending of message to home owner with help of GSM when door is open by unauthorized user using PIC microcontroller and next one is surveillance camera usage for home security by raspberrypi-3Raspberrypiis used for image processing, image processing can be done only if user can enter wrong password it will indicate to raspberry pi for image processing for finding out the unauthorized person.

Keywords: Home automation, camera, GSM, PIC-microcontroller.

References: 1. Prof. R.M.Sahu, AkshayGodase, PramodShinde, ReshmaShinde “Garbage And Street Light Monitoring System Using Internet Of Things “International Journal Of Innovative Research in Electrical, Electronics,Instrumentation and Control Engineeri7ng Vol. 4, Issue 4, April 2016. 2. Parkash, Prabu V, DanduRajendra “Internet Of Things Based Intelligent Street Lighting System For Smart City” International Journal 33. of Innovative Research in Science, Engineering and Technology Vol. 5, Issue 5, May 2016. 3. AnkitMaslekar, Aparna K, Mamatha K, Shivakumara T “Smart Lighting System Using Raspberry Pi ” International Journal of 177-180 Innovative Research in Science, Engineering and Technology Vol. 4, Issue 7, July 2015. 4. Dr. D.V.PushpaLatha, Dr. K.R.Sudha, Swati Devabhaktuni “PLC Based Smart Street Lighting Control ” I.J. Intelligent Systems and Applications, 2014. 5. Vignesh.L, Kaliappan.S, Ramkumar.R “IoTBased Vegetable Production and Distribution Through Big Data Application” International Journal For Science and Advance Research in Technology Vol. 3, Issue 2, Febuary 2017. 6. DeepanshuKhandelwal, Bijo M Thomas, KrithikaMehndiratta, Nitin Kumar “Sensor based Automatic street Lighting System” International Journal of education and science research review. Vol.2, Issue.2 , April 2015. 7. Vishesh Kumar Kurre “Smart Garbage Collection Bin Overflows Indicator Using IOT” International Research Journal of Engineering and Technology, Vol. 3, Issue. 5, May 2016. 8. Monika K A, NikithaRao, Prapulla S B, Shobana G “Smart Dustbin-an Efficient garbage Monitoring System”, Vol. 6, Issue.6 , 2016. 9. 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. 10. 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,Vol9No6,2017,1876-1894 11. P. JebaSanthiya, Murugan,” Soft Computing Based classification Ofelectrogastrogram Signals” International Journal of Pure and Applied Mathematics, Vol116 NO11, 2017 51-58 12. Vignesh .L,Kaliappan.S,Ramkumar.R, 2017,Comparision of Dc-Dc converter for BLDC motor.Published BYAENSI Publication ,ISSN:1995-0772, ESSN:1998-1090,Special Issue 11(5),Pages 25-31

Authors: Premalatha J, Mrinalini M Seismic Behaviour of a Multi-storeyed Reinforced Concrete Irregular Building with Outrigger Belt Paper Title: truss System Abstract: Lateral forces in tall structures produce structural and non-structural damages. In tall structures lateral forces are induced and moments are created, which is very large when compared to gravity load and these moment leads to overturning of the structure. The outrigger system is one of the most common and efficient system that can be used to improve the performance of tall buildings under wind and seismic forces. An Outrigger is a horizontal projection attached to any member and helps in increasing its stability. The provision of outrigger trusses helps in connecting the core wall of the building to external columns along the height of the structure and they act like spreaders. In the present work, a 7×7 bay RC irregular building is taken for the study and its performance with different configuration of belt truss system under wind forces and seismic forces is investigated. The response of the RC frame under Time history analysis, Response spectrum analysis, due to seismic forces found out using IS 1893 (Part-1): 2002, and wind forces are found out for the 30 storey RC model 34. frame with various configuration of belt truss systems using the ETABS software. The performance of the frame under lateral loads such as maximum storey displacements, maximum storey drifts were found out. 181-187

Keywords: Time history Analysis, response spectrum analysis, storey drift, storey accelerations.

References: 1. Abhishek Arora, Ravi Kumar, (2016), “Strengthening of High Rise Building with Outrigger System”, The International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Volume 2, Issue 3, pp. 591-593. 2. Viren P. Ganatra et al., (2017), “Study on Behaviour of Outrigger System on High Rise Structure by Varying Outrigger Depth”, International Journal for Research in Applied Science & Engineering Technology (IJRASET), Volume 5, Issue IX, pp.2017-2022. 3. AnilakumarMashyal, Chitra D M (2017), “Comparative Study on RC and Steel Outrigger with Vertical Irregularity Subjected to Lateral Load”, International Journal for Scientific Research & Development (IJSRD), Volume 5, Issue 4, pp.2038-2041. 4. Kiran Kamath, Divya, Asha U Rao (2012), “A Study on Static and Dynamic Behavior of Outrigger Structural System for Tall Buildings”, Bonfring International Journal of Industrial Engineering and Management Science, Volume 2, Issue 4, pp.15-20. 5. Shivacharan, Chandrakala, Karthik (2015), “Optimum Position of Outrigger System for Tall Vertical Irregularity Structures”, IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), Volume 12, Issue 2, pp. 54-63. 6. Raj Kiran Nanduri et al. (2013), “Optimum Position of Outrigger System for High-Rise Reinforced Concrete Buildings Under Wind And Earthquake Loadings”, American Journal of Engineering Research (AJER) Volume 2, Issue 8, pp-76-89.

Authors: S. Umamaheswari, M. Alagumeenaakshi Paper Title: Interactive Voice Response System Development 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. 35. References: 188-191 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.

Authors: M. Gobalakrishnan, D. Saravanan Paper Title: Thermal Insulation Properties of KAPOK/Cotton Blended Non-Woven Fabric Abstract: Kapok has excellent oil absorbency properties due to the hollow structure in the fibre. Kapok is widely used as stuffing materials and not used in apparels. The kapok and cotton blended nonwoven were made with 80:20, 70:30 and 60:40 proportions and three different thickness. The resultant kapok cotton blended nonwoven was subjected to thermal insulation, oil absorbency, and other physical properties. Lee's disc method has been used to test the thermal conductivity of the needle punched nonwoven fabric. The insulation property of the nonwoven fabric increases with increasing the thickness of nonwoven and number of layers. The insulating properties decrease with increase in the proportion of cotton.

Keywords: Kapok, Cotton, nonwoven, thermal insulation, oil sorption capacity

References: 36. 1. P. Taylor, N. Ali, M. El-harbawi, A. A. Jabal, and C. Yin, “Characteristics and oil sorption effectiveness of kapok fibre , sugarcane bagasse and rice husks : oil removal suitability matrix,” no. October 2014, pp. 37–41. 192-194 2. H. Xiang, D. Wang, H. Liu, N. Zhao, and J. Xu, “Investigation on sound absorption properties of kapok fibers,” Chinese J. Polym. Sci., vol. 31, no. 3, pp. 521–529, 2013. 3. Y. Zheng, J. Wang, Y. Zhu, and A. Wang, “Research and application of kapok fiber as an absorbing material: A mini review,” JES, pp. 1–12. 4. Y. Ding, Z. Cai, L. Wang, Y. Shen, and Q. Gao, “The Adsorption Character of Kapok Fiber and Reactive Dyeing Technology on Modified Kapok Fiber.” 5. Udhaya M, Arun S Karthick, and Gobi N, “Development of Kapok / PP Blended Nonwovens for Thermal Insulation Application,” 27th Natl. Conv. Text. Eng., vol. February, 2014. 6. Tatjana rijavec, “Kapok in Technical Textiles,” Tekstilec, vol. 51, pp. 319–331, 2008. 7. J. Wang, Y. Zheng, and A. Wang, “Coated kapok fiber for removal of spilled oil,” Mar. Pollut. Bull., vol. 69, no. 1–2, pp. 91–96, 2013. 8. X. Huang and T. Lim, “Performance and mechanism of a hydrophobic – oleophilic kapok filter for oil / water separation,” vol. 190, pp. 295–307, 2006. 9. W. Sci, "Excellent oil absorbent kapok [Ceiba pentandra (L) Gaertn.] fiber : fiber structure, chemical characteristics, and application," pp. 401–404, 2000..

Authors: Govardhan.S.D, Vasuki.A Paper Title: An Empirical Study of Pedestrian Detection Techniques with Different Image Resolutions 37. Abstract: Pedestrians are essential objects in computer vision. In real world images, the art of detecting 195-200 pedestrians is an essential task for many applications like video surveillance, autonomous driver systems etc., Pedestrian detection is a significant characteristic of the autonomous vehicle driving system because identifying the pedestrians minimizes the accidents between vehicles and pedestrians. In existing techniques, deformable part model was used for identifying the pedestrians in image. However, the detection accuracy of the pedestrians with the existing systems was very low with high time consumption. The objective of our research work is to reduce the pedestrian detection time and space complexity for storing the pedestrian objects. In order to identify the existing pedestrian detection issues, the empirical study is carried out in this paper

Keywords: Pedestrian, autonomous vehicle, deformable part model, space complexity, automatic driver- assistance systems, video surveillance.

References: 1. HyeJi Choi, Yoon Suk Lee, Duk-Sun Shim, Chan Gun Lee, and Kwang Nam Choi, “Effective Pedestrian Detection using Deformable Part Model based on Human Model”, International Journal of Control, Automation and Systems, Springer, Volume 14, Issue 6, December 2016, Pages 1618–1625 2. Hak-Kyoung Kim, Daijin Kim, “Robust Pedestrian Detection under Deformation Using Simple Boosted Features”, Image and Vision Computing, Elsevier, Volume 61, May 2017, Pages 1-11 3. SakrapeePaisitkriangkrai, ChunhuaShen, Anton van den Hengel, “Pedestrian Detection with Spatially Pooled Features and Structured Ensemble Learning”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 38, Issue 6, June 2016, Pages 1243 – 1257 4. WanliOuyang, XingyuZeng, Xiaogang Wang, “Partial Occlusion Handling in Pedestrian Detection with a Deep Model”, IEEE Transactions on Circuits and Systems for Video Technology, Volume 26, Issue 11, 2016, Pages 2123 – 213 5. YiWang, SebastienPierard, Song-Zhi Su, Pierre-MarcJodoin, “Improving pedestrian detection using motion-guided filtering”, Pattern Recognition Letters, Elsevier, Volume 96, Issue 1, September 2017, Pages 106-112 6. Guodong Zhang, Peilin Jiang, Kazuyuki Matsumoto, Minoru Yoshida, Kenji Kita, “An Improvement of Pedestrian Detection Method with Multiple Resolutions”, Journal of Computer and Communications, Volume 5, 2017, Pages 102-116 7. Yazhou Liu, PongsakLasang, Mel Siegel, Quansen Sun, “Multi-sparse Descriptor: A Scale Invariant Feature for Pedestrian Detection”, Neurocomputing, Elsevier, Volume 184, April 2016, Pages 55-65 8. MasoudAfrakhteh, Park Miryong, “Pedestrian Detection with Minimal False Positives per Color-Thermal Image”, Arabian Journal for Science and Engineering, Springer, Volume 42, Issue 8, August 2017, Pages 3207–3219. 9. Yanxiang Chen, Luming Zhang, Xiao Liu, Chun Chen, “Pedestrian detection by learning a mixture mask model and its implementation”, Information Sciences, Elsevier, Volume 372, Issue 1, December 2016, Pages 148-161 10. Luca Maggiani, Cedric Bourrasset, Jean-Charles Quinton, Francois Berry, Jocelyn Serot, “Bio-inspired heterogeneous architecture for real-time pedestrian detection applications”, Journal of Real-Time Image Processing, Springer 2016, Pages 1–14 11. Keqiang Li, Xiao Wang, YouchunXu, and JianqiangWang, “Density Enhancement-Based Long-Range Pedestrian Detection Using 3-D Range Data”, IEEE Transactions On Intelligent Transportation Systems, Volume 17, Issue 5, May 2016, Pages 1368 – 1380 12. Junjie Yan, Xucong Zhang, Zhen Lei, Shengcai Liao, Stan Z. Li, “Robust Multi-resolution Pedestrian Detection in Traffic Scenes”, 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013, Pages 3033-3040.

Authors: Rajarajeswari Natarajan, Vaithyasubramanian S A White Paper Attempt on Defining Key Process and Benefits of Effective Defect Management Paper Title: System in AGILE Based Projects - Effective Defect Management System in AGILE Methodology Abstract: In Software Development & Testing life cycle, Agile approach had transformed the project delivery models dramatically and today there are innovations around key processes within the Agile umbrella. Overall, any Agile-based project methodologies promotes continuous iteration & integration of the development bringing testing services in parallel. While the overall scope keeps evolving, each “sprint” manages a subset of the scope been developed and tested and the subsequent sprints keeps building the system integrated. Agile has the benefit of bringing the end system early to market with the complete visualization of evolving or build-in-process system to the users. Unlike the traditional waterfall approach where users validate the final product directly to identify complete list of defects, there are challenges in managing and tracking defects on a growing system from base. This paper attempts on Defining Key Process and Benefits of Effective Defect Management System in AGILE Based Projects. This paper presents Workflow Chart of a Simple Agile Project with Single Phase Implementation Target, Potential Applicability for Agile model and benefits of effective defect tracking system in Agile Projects.

References: 1. Arturs Rasnacis, Solvita Berzisa “Method for Adaptation and Implementation of Agile Project Management Methodology" Procedia 38. Computer Science, 104 (2017) 43 – 50. 2. https://en.wikipedia.org/wiki/Agile_software_development 3. Shariq Aziz Butt "Study of agile methodology with the cloud" Pacific Science Review B: Humanities and Social Sciences, 2 (2016) 22 201-205 - 28. 4. Georgios Papadopoulos "Moving from traditional to agile software development methodologies also on large, distributed projects" Procedia - Social and Behavioral Sciences, 175 (2015) 455 – 463. 5. Sergio Galvan, Manuel Mora, Rory V. O’Connor, Francisco Acosta, Francisco Alvarez “A Compliance Analysis of Agile Methodologies with the ISO/IEC 29110 Project Management Process" Procedia Computer Science, 64 (2015) 188 – 195. 6. M.Balaji, V.Velmurugan, C.Subashree " TADS: An assessment methodology for agile supply chains" Journal of Applied Research and Technology, 13 (2015) 504–509. 7. Mario Špundak "Mixed agile/traditional project management methodology – reality or illusion?” Procedia - Social and Behavioral Sciences, 119 (2014) 939 – 948. 8. Piotr Nowotarski, Jerzy Paslawski "Barriers in running construction SME – case study on introduction of agile methodology to electrical subcontractor" Procedia Engineering, 122 (2015) 47 – 56. 9. Cezary Orłowski, Artur Ziółkowski, Grzegorz Paciorkiewicz “Quantitative Assessment of the IT Agile Transformation" Procedia Engineering, 182 (2017) 524 – 531. 10. Varinder Kumar Mittal, Rahul Sindhwani, Vivek Kalsariya, Faizan Salroo, Kuldip Singh Sangwan, Punj Lata Singh " Adoption of Integrated Lean-Green-Agile Strategies for Modern Manufacturing Systems" Procedia CIRP 61 ( 2017 ) 463 – 468. 11. Yngve Lindsjørn, Dag I.K. Sjøberg, Torgeir Dingsøyr, Gunnar R. Bergersen, Tore Dybå "Teamwork quality and project success in software development: A survey of agile development teams” The Journal of Systems and Software, 122 (2016) 274–286. 12. Kim Dikert, Maria Paasivaara, Casper Lassenius " Challenges and success factors for large-scale agile transformations: A systematic literature review” The Journal of Systems and Software, 119 (2016) 87–108. 13. Afshin Jalali Sohi, Marcel Hertogh, Marian Bosch-Rekveldt, Rianne Blom “Does lean & agile project management help coping with project complexity?" Procedia - Social and Behavioral Sciences, 226 (2016) 252 – 259. 14. Torgeir Dingsøyr, Sridhar Nerur, VenuGopal Balijepally, Nils Brede Moe " A decade of agile methodologies: Towards explaining agile software development" The Journal of Systems and Software, 85 (2012) 1213–1221. 15. Ashish Agrawal, Mohd. Aurangzeb Atiq, L.S.Maurya "A Current Study on the Limitations of Agile Methods in Industry Using Secure Google Forms" Procedia Computer Science, 78 (2016) 291 – 297.

Authors: B. Santhosh Kumar, K.V.G.D. Balaji, Chandan Kumar Patnaikuni Paper Title: Perception of k4 Factor in Cyclonic Region of India Abstract: Even though 7% of global tropical cyclones are occurring as a medium intensity in the Northern Indian Ocean basin (in Bay of Bengal region) but their effect rendered a huge structural failures. There is a different opinion on the occurrence of cyclones from statistical, demographic and meteorological point of view but the financial loss was gradually increasing during the last decade. The cyclonic vulnerability map of India imparted the occurrence of various high speed wind cyclones in the different locations of the east coastal region. The post cyclonic damage reports revealed that the life line structures were also damaged. It indicated that the risk factor for 100 year design life of the structures was inadequate for safety of structures in coastal areas. Admitting the facts the revised IS 875(part3) 2015 recommended the cyclonic importance factor with 1.15 and 1.30 values for design of structures in coastal region. This recommendation cannot be suggested for hoarding design explicitly in the 2015 code.it is concluded from this analysis the hoardings cannot be treated as temporary structures and the design life must be considered up to a span of 25 years. Ultimately the necessity of k4 factor is highlighted in this paper.

Keywords: Cyclone, Hoarding, IS 875(part3) 2015, K4 factor, static analysis.

References: 1. Mahabub Alam, Md. Arif Hossain and Sultana Shafeec. Frequency of Bay of Bengal cyclonic storms and depressions crossing different coastal zones”.Int. J. Climatol. Royal Meteorological Society 23: 1119–1125 (2003) 2. Raghavan, S., and Rajesh, S. (2003). “Trends in Tropical Cyclone Impact: A Study in Andhra Pradesh, India”. Bulletin of the American Meteorological Society 84(5), pp. 635-644, DOI: 10.1175/BAMS-84-5-635 39. 3. Indian Meteorological Department, New Delhi “A report on the very severe cyclonic Storm HUDHUD over the Bay of Bengal (07-14 Octobe2014)” http://www. Rsmcnewdelhi. imd.gov.in /images/ pdf/ publications /preliminary-report/hud.pdf 206-208 4. Indian Meteorological Department, New Delhi, A report on the very severe cyclonic Storm VARDAH over the Bay of Bengal (07-14 October 2016),http://www.rsmcnewdelhi .imd.gov .in/ images/pdf/publications/preliminary-report/ vardah.pdf (2016) 5. Indian Meteorological Department, New Delhi, A report on the very severe cyclonic Storm TITLY over the Bay of Bengal (07-14 October 2018),http://www.rsmcnewdelhi. imd.gov .in/im ages / pdf/publications/ preliminary-report/ titily.pdf (2018) 6. IS 875(Part3)1987., Indian Code of Practice for Design Loads (Other than Earthquake )for Buildings and Structures, Part(3) Wind loads, third Revision, Bureau of Indian Standards, New Delhi.-1100002. 7. IS 875(Part3)2015., Indian Code of Practice for Design Loads (Other than Earthquake )for Buildings and Structures, Part(3) Wind loads, Bureau of Indian Standards, New Delhi.-1100002. 8. Suresh Kumar K., Cini C. and Valerie Sifton, “Assessment of Design Wind speeds in metro cities of India,” The seventh International Colloquium on Bluff Body Aerodynamics and Applications (BBAA7), Shanghai, China, September 2-6 (2012) 9. HB 202-2002, Handbook of Design wind speeds for the Asia pacific region(2002) 10. IS 15498:2004.Guide lines for Improving the Cyclonic Resistance of Low Rise Houses and other Buildings /Structures, Bureau of Indian Standards, New Delhi. 11. Lakshmanan N., Gomathinayagam S., Hari Krishna P., Abraham A. and Chitra Ganapathi S., “The Basic wind speed map of India with long- term, hourly wind data”, Current Science, 96(7), 911-922 (2009) 12. B Santhosh Kumar, Balaji, K.V.G.D, Chandan Kumar Patnaikuni. “The Impact of Cyclonic Importance Factor and its effect on A type and Lean-to Roof Trusses”, Disaster Advances, 10(5), May (2017). 13. B Santhosh Kumar, Balaji, K.V.G.D, Chandan Kumar Patnaikuni. “A study of k4 factor impact on industrial and post-cyclonic importance structures”, International Journal of Civil Engineering and Technology, 8, (2017), pp.264-273 14. B Santhosh Kumar, Ramesh, Balaji, K.V.G.D, Chandan Kumar Patnaikuni and Sankili Reynolds, “Along Wind Response of Free standing Tri-pole Lattice Towers”, International Journal of Civil Engineering and Technology, 9, (2018), pp.172-273 15. Charan Rathikindi., Balaji, K.V.G.D., B. Ramesh ., B. Santhosh Kumar., “Prominence of k4 factor in gust factor analysis for 30m & 60m telecom towers”. International Journal of Civil Engineering and Technology, 9, (2018), pp.172-273. 16. SAP 2000(v4i) Software. Integrated Software for Structural Analysis and Design.

Authors: D. Narasimhan, A. Elamparithi, R. Vignesh Paper Title: Connectivity, Independency and Colorability of Divisor Function Graph GD(n) Abstract: The aim of the present paper is to find the connectivity of divisor function graph and to determine the colorability of the divisor function graph via Independency of the divisor function graph. Further, the condition for divisor function graph to be isomorphic have been discussed.

Keywords: Slot-Loaded Patch, Microstrip Patch Antenna, Global Positioning Satellite (GPS), Shorted. 40. References: 209-213 1. Pomerance. C, On the longest simple path in the divisor graph, Cong. Numer,(1983), 291- 304. 2. Chartrand. G, Muntean. R, Saenpholphat. V and Zhang. P, Which Graphs Are Divisor Graphs?, Congr. Numer, 151(2001), 189-200. 3. K. Kannan, D. Narasimhan, S. Shanmugavelan, The graph of divisor function D(n), International Journal of Pure and Applied Mathematics, Volume 102 No. 3 (2015), 483-494. 4. S. A. Arumugam and G. Ramachandran, Invitation to Graph Theory, Scitech Publications, (2003). 5. R. Balakrishnan and G. Ranganathan, A textbook of Graph Theory, Springer-Verlog, New York, (2000).

Authors: D. Narasimhan, R. Vignesh, A. Elamparithi Paper Title: Directed Divisor Function Graph GDij(n) 41. Abstract: A newer class of graph namely directed divisor function graph is defined and analyzed. Further, directed divisor function sub-digraph, complete directed divisor function graph and characteristics like 214-218 tournament, Eulerian, Hamiltonian have been discussed.

References: 1. Pomerance.C, On the longest simple path in the divisor graph, Cong. Numer,(1983), 291- 304. 2. Chartrand.G, Muntean.R, Saenpholphat.V and Zhang.P, Which Graphs Are Divisor Graphs?, Congr. Numer, 151(2001), 189-200. 3. Le Anh Vinh, Divisor graphs have arbitrary order and size, AWOCA, 2006, 99-109. 4. Al-Addasi.S, AbuGhneim.O.A and Al-Ezeh.H, Further New Properties of Divisor Graphs, 1-4. 5. K. Kannan, D. Narasimhan, S. Shanmugavelan, The graph of divisor function D(n), International Journal of Pure and Applied Mathematics, Volume 102 No. 3 (2015), 483-494. 6. S. A. Arumugam and G. Ramachandran, Invitation to Graph Theory, Scitech Publications, (2003). 7. R. Balakrishnan and G. Ranganathan, A textbook of Graph Theory, Springer-Verlog, New York, (2000). 8. Lowell W. Beineke, M. Christiana, Connection digraphs and second-order line digraphs, North-Holland Publishing Company, Discrete Math-ematics 39(1982), 237-254.

Authors: M V Rajesh, B. Venkateswara Rao Paper Title: Conference Hall Automation System using Python-kivy Application Abstract: Conference halls contain a variety of technology tools that allows one to host productive meetings. The developed python-kivy based automation system allows all of these technologies to work in unison and be controlled through one Graphical User Interface based device. It can control electrical equipment like lights, fans, sound system and projector, and also controls the presentation slides by taking input from a touch screen. This device makes conferences/seminars more productive and efficient.

Keywords: Automation; Graphical User Interface; Conference Halls.

References: 1. Elaine Rich, Kelvin Knight, Shiva Shankar B-Nair “Artificial Intelligence”, MC Graw Hill Publication, 2013. 2. Raspberry Pi [online], Available at http://www.raspberrypi.org/. 42. 3. M.N. Chowdhury,M.S. Nooman, S. Sarker ‘Access Control of Door and Home Security by Raspberry Pi Through Internet’, Int. J. Sci. Eng. Res. 2013, 4, 550–558. 219-222 4. M V Rajesh, B. Venkateswararao, “Artificial Intelligence Based Machine Learning Assistance for Self-Driving Car using Raspberry Pi”, IJARSE, Vol. 6, Iss 11, November 2017, pp. 1718-1724. 5. Vidyasagar K, Balaji G, Narendra R K, “Android Phone Enabled Home Automation”, JAIR, ISSN: 2278-5213, Vol. 4, Iss 2 July 2015. 6. N Radhamani , “Intelligent Home Automation & Security System”, IJISET, Vol.2 no. 6, pp. 639-644, June 2015. 7. Babu Sooraj S., “Intelligent Home Automation”, IJRET, Vol.4 no.3, pp. 32-34, April 2015. 8. Panth Sharon, “Designing Home Automation System using Java ME for Mobile Phone”, IJECSE, Vol.2 No.2, pp. 798-807, April 2011 9. Arduino, Avaliable at http://www.arduino.cc 10. Praveen Kumar S, Rajesh K, Subrahmanya S , Kantharaju A G, Vanishree Moji , “ Seminar Hall Automation Using Raspberry Pi 3 ” International Journal of Technological Research & Innovative Solutions (IJTRIS) , 2017 11. M. Hariprasath, P.K. Karthick “Intelligent Conference Hall Automation System” IJARECE, Vol 5, Iss.12 2016, pp.2543-2547. 12. M V Rajesh, B Venkateswara Rao, P Sai Vamsi Krishna and S Pavan Kumar, “Raspberry PI based Digital Assistant for Seminar Halls (D.A.S.H)”, International Conference on New Trends in Engineering & Technology (ICNTET)-2018, Organized by GRT Institute of Engineering and Technology, , during September 07th & 08th 2018.

Authors: Vijayan.S.N, S. Vadivel, A. Melvinjone, K. Dhinesh, D. Sneha, K. Madhan Muthu Ganesh Investigation of Mechanical Properties of Palmyra Palm Leaf Stalk/Carbon Fiber Reinforced Paper Title: Polyester Hybrid Composite Abstract: In this investigation, the Mechanical valuables of short inconstantly oriented Borassus flabellifer leaf stalk fiber [BFLSF/PPLSF] and carbon fiber strengthened Polyester hybrid composite were predicted based on various weight percentage. The Hybrid composite were fabricated by Resin transfer moulding or compression moulding technique. The durability, bend strength and crash properties of the composite were evaluated. The fractured surface of the hybrid synthesized material were analysed by used Scanning Electron Microscopy [SEM] and also studied the water absorption performance of the fabricated composite. Experimental results were compared with other natural fiber and it has high strength to weight ratio. In future designing and fabrication the Manned and Unmanned Aerial, Marine and Surface Vehicle structures.

Keywords: Slot-Loaded Patch, Microstrip Patch Antenna, Global Positioning Satellite (GPS), Shorted.

References: 43. 1. George J, Van De Weyenberg I, Ivens J, Verpoest I (1999) Mechanical Properties of Flax Fiber Reinforced Epoxy Composites, 2nd International Wood and Natural Fiber Composites Symposium, in Kassel/Germany. 223-227 2. Maleque A, Belal FY, Sapuan SM (2007) Arabian J Sci Eng 32:364 3. Wallenberger FT, Weston N (2004) Natural Fibers, Plastics and Composites Natural, Materials Source Book from C.H.I.P.S Texas. 4. Satyanarayana KG, Sukumaran K, Mukherjee PS, Pavithran C, Pillai SGK (1990) J CemeConc Compos 12(2):136. 5. Satyanarayana KG, Sukumaran K, Kulkarni AG, Pillai SGK, Rohatgi PK (1986) J Compos 17(4):333. 6. Mansur MA, Aziz MA (1983) Int Ceme Compos Lightweight Conc 5(3):171. 7. Gowda TM, A Naidu CB, Chhaya R (1999) Compos Part A App Sci Manuf 30(3):284. 8. Paiva Junior CZ, de Carvalho LH, Fonseca VM, Monterio SN, d’Almeida JRM (2004) Polym Test 23(2):135. 9. Maries Idicula, Malhotra Sk, Kuruvilla Joseph, Sabu Thomas (2005) Compos Sci Tech 65:1087. 10. Jacob Maya, Thomas Sabu, Varughese KT (2004) Compos Sci Tech 64:965. 11. Alsina OLS, de Carvalho LH, Ramos Filho FG, d’ Almeida JRM (2007) Polym Plast Technolo Eng 46(5):520. 12. Mehdi Tajvidi (2005) Inc J Appl Polym Sci 98:672. 13. Ureyen ME, Kado lu H (2006) Text Res J 76:360. 14. DashBN,Rana AK, Mishra HK, Nayak SK, Mishra SC, Tripathy SS (2000) J Appl Polym Sci 78(9):1679.

44. Authors: B. Shanmugam, R. Ganapathi A Study on Psychological Well Being and Job Satisfaction of Employees in Information Technology Paper Title: (IT) Sector in Coimbatore District Abstract: Psychological wellbeing is the cognitive assessment of individuals on their satisfaction with entire life and it is mixture of mental, physical, social and emotional aspects of individuals and it affects performance and satisfaction of employees and business success of organization. Significant difference is prevailing among psychological well being and profile of employees of Information Technology (IT) sector. The employees are satisfied with work atmosphere, chance for career development and cooperation among employees in IT sector. The psychological well being has positive, significant and high degree of relation with job satisfaction of employees in IT sector. To enhance psychological well being of employees in IT sector, they must be pleased with things happened to them and they should change few things in them and they must always complete their work timely. Further, they should be very good listener when problems are discussing with their friends and they must obtain many things from others through managing better relation with them.

Keywords: Employees, IT Sector, Job Satisfaction, Psychological Well Being.

References: 1. Green, C., & Heywood, J. (2011). Flexible contracts and subjective well-being. Economic Inquiry, 49(3), 716-729. 2. Ishmeet Singh, & Navjot Kaur. (2017). Contribution of information technology in growth of Indian economy. International Journal of Research - GRANTHAALAYAH, 5(6), 1-9. 3. Jaideep Kaur. (2013). Role of psychological well being and its impact on the motivational level of the employees in IT sector. International Journal of Advanced Research in Management and Social Sciences, 2(6), 43-51. 4. Kompal Wadhawan. (2016). Psychological well-being as a predictor to job performance and job satisfaction. International Journal of 228-231 Academic Research and Development, 1(3), 1-3. 5. Laura Lorente, Nuria Tordera, & José María Peiro. (2018). How work characteristics are related to European workers’ psychological well-being. A comparison of two age groups. International Journal of Environmental Research and Public Health, 15(127), 1-11. 6. Nagesh, K. (2002). Indian software industry development: International and national perspectives. Economic and Political Weekly, 36(45), 4278-4290. 7. Najib Ahmad Marzuki. (2013). The impact of personality on employee well-being. European Scientific Journal, 9(20), 43-52. 8. Norizan Baba Rahim, & Siti Rohaida, M. Z. (2015). Career satisfaction and psychological well-being among professional engineers in Malaysia: The effect of career goal development. Asian Academy of Management Journal, 20(2), 127-146. 9. Ronald J. Burke, Scott Moodie, Simon Dolan, & Lisa Fiksenbaum. (2012). Job demands, social support, work satisfaction and psychological well-being among nurses in Spain. ESADE Working Papers Series, Barcelona. 10. Ryff, C. (1991). The structure of psychological well being. Journal of Personality and Social Psychology, 69, 719-727. 11. Sell, H., & Nagpal, R. (1992). Assessment of subjective well being: Subjective well being inventory, SUBI, Regional Health Paper, SEARO, 24, New Delhi. 12. Vijayasri, G. V. (2013). The role of information technology (IT) industry in India. Abhinav International Monthly Refereed Journal of Research In Management & Technology, 2(8), 54-64. 13. Thomas Parry, & Bruce Sherman. (2015). Workforce health-the transition from cost to outcomes to business performance. Benefits Quarterly, 12 pp. 32-38. 14. Thuso Baruti, & Calvin Gwandure. (2017). Psychological well-being, job satisfaction, and organisational commitment among employees in Botswana, An Unpublished Master Thesis, University of the Witwatersrand, Witwatersrand. 15. Trecy Emerald, & Genoveva. (2014). Analysis of psychological well-being and job satisfaction toward employees performance in Pt Aristo Satria Mandiri Bekasi, Indonesia. International Journal of Business, Economics and Law, 4(1), 22-30.

Authors: M. Naveed Iqbal, Lauri Kütt, Noman Shabbir Paper Title: Modeling of Lighting Load in Residential Buildings Abstract: Energy and electricity consumption models are critical for effective decision making to improve the supply and demand system. On-site electricity generation using PV, energy efficiency strategies, and smart grid technologies have shaped the need for detailed electricity demand modeling. Lighting in the residential buildings is a significant part of total electricity consumption. High variability of the lighting load makes it a complex modeling problem as lighting usage depends on many variables. Occupant behavior, building structure, and environmental conditions have made it more challenging to model electrical lighting consumption patterns. This paper presents a strategy to model lighting load using occupancy and measurement data of total lighting demand in the residential buildings.

Keywords: lighting modeling; occupant behavior; electricity demand modeling; lighting usage.

References: 45. 1. J. Widén, A. M. Nilsson, and E. Wäckelgård, “A combined Markov-chain and bottom-up approach to modelling of domestic lighting demand,” Energy Build., vol. 41, no. 10, pp. 1001–1012, 2009. 2. EU, “Directive 2010/31/EU of the European Parliament and of the Council of 19 May 2010 on the energy performance of buildings 232-236 (recast),” Off. J. Eur. Union, pp. 13–35, 2010. 3. IAEA, “Model for Analysis of Energy Demand (MAED-2) User’s Manual,” Int. At. Energy Agency, Vienna, p. 196 pp., 2006. 4. M. Stokes, M. Rylatt, and K. Lomas, “A simple model of domestic lighting demand,” Energy Build., vol. 36, no. 2, pp. 103–116, 2004. 5. I. Richardson, M. Thomson, D. Infield, and A. Delahunty, “Domestic lighting: A high-resolution energy demand model,” Energy Build., vol. 41, no. 7, pp. 781–789, 2009. 6. X. Zhou, D. Yan, T. Hong, and X. Ren, “Data analysis and stochastic modeling of lighting energy use in large office buildings in China,” Energy Build., vol. 86, pp. 275–287, 2015. 7. C. Wang, D. Yan, and X. Ren, “Modeling individual’s light switching behavior to understand lighting energy use of office building,” Energy Procedia, vol. 88, pp. 781–787, 2016. 8. M. N. Iqbal and L. Kütt, “End-user electricity consumption modelling for power quality analysis in residential building,” 2018. 9. M. N. Iqbal, L. Kütt, and A. Rosin, “Complexities associated with modeling of residential electricity consumption,” in IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University, 2018, p. 6. 10. D. Aerts, J. Minnen, I. Glorieux, I. Wouters, and F. Descamps, “A method for the identification and modelling of realistic domestic occupancy sequences for building energy demand simulations and peer comparison,” Build. Environ., vol. 75, pp. 67–78, 2014. 11. N. Li, G. Calis, and B. Becerik-Gerber, “Measuring and monitoring occupancy with an RFID based system for demand-driven HVAC operations,” Autom. Constr., 2012. 12. M. S. Gul and S. Patidar, “Understanding the energy consumption and occupancy of a multi-purpose academic building,” Energy Build., 2015. 13. J. Yang, M. Santamouris, and S. E. Lee, “Review of occupancy sensing systems and occupancy modeling methodologies for the application in institutional buildings,” Energy Build., vol. 121, pp. 344–349, 2016. 14. W. Kleiminger, C. Beckel, and S. Santini, “Household occupancy monitoring using electricity meters,” in Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp ’15, 2015. 15. A. Molina-Markham, P. Shenoy, K. Fu, E. Cecchet, and D. Irwin, “Private memoirs of a smart meter,” in Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building - BuildSys ’10, 2010. 16. E. McKenna, M. Krawczynski, and M. Thomson, “Four-state domestic building occupancy model for energy demand simulations,” Energy Build., vol. 96, pp. 30–39, 2015. 17. N. Z. Governments, “2016 Residential Lighting Report,” 2016. 18. D. R. G. Hunt, “The use of artificial lighting in relation to daylight levels and occupancy,” Build. Environ., 1979

Authors: K. B. Shoba, P. Asha Paper Title: Influence of Rice Husk Ash on the Strength Properties of Engineered Cementitious Composites Abstract: The main objective of this study is to investigate the mechanical properties of engineered cementitious composites with different levels of ordinary portland cement of Grade 53 by adding Rice Husk Ash and Polypropylene fibres of different percentages. In order to achieve target mix, Chryso Optima S682(HRWR based admixture) has been incorporated with a dosage level of 3%. Cubes of 50mm*50mm*50mm, Cylinders of 75mm*150mm and prisms of 360mm*75mm*50mm were cast and evaluated. The compressive strength of 7, 14 and 28 days have been obtained. Outcomes pertaining to the mechanical properties of rice husk ash at 28 days were quite encouraging and the optimum percentage of rice husk ash was found to be 5% in engineered cementitious composites

Keywords: Rice Husk Ash, Strength Characteristics, Levels of replacement.

References: 1. Abdelaziz Meddah, Larbi Belagraa, Miloud Beddar., Effect of the fibre geometry on the flexural properties of reinforced refractory concrete, 7th Scientific technical conference material problems in civil engineering, Volume 3, 2015, pp 185-192 46. 2. Deepa G.Nair, K.Sivaraman and Job Thomas., “Mechanical Properties of RHA- High strength concrete”, American Journal of Engineering Research (AJER), Volume 3, pp 14-19 3. K.B.Shoba and P.Asha“Study On Engineered Cementitious Composites Using Micro Silica & Polypropylene Fibre”, International 237-241 Journal of Civil Engineering and Technology (IJCIET), Volume 9, Issue 7, (July 2018) 4. R.S. Deotale, S.H.Sathawane, A.R. Narde., “Effect of Partial Replacement of Cement by Fly Ash, Rice Husk Ash using fibre in concrete, International Journal of Scientific & Engineering Research, Volume 3, Issue 6, June 2012, pp1-9 5. Godwin. A. Akeke, Maurice E.Ephraim, Akobo I.Z.S and Joseph O.Ukpata., “Structural properties of Rice Husk Ash concrete”, International Journal of Engineering and Applied Sciences, May 2013, Volume 3, pp 57-62 6. R.N. Krishna, “Rice Husk ash – An Ideal admixture for concrete in aggressive environments”, 37th Conference on our world in concrete & structures: 29-31 August 2012, Singapore article Online Id: 100037026 7. P. Padma Rao, A. Pradhan Kumar, B. Bhaskar Singh, A study on use of rice husk ash in concrete, IJEAR, Volume 4 Issue Spl-2, Jan- June 2014, pp 75-81 8. Sankar Jegadesh J.S & S.Jeyalekshmi., “Study on properties of concrete with colour adsorbed fly ash, rice husk ash, steel slag and polypropylene fibres”, International Journal of Civil Engineering (IJCE), Volume 3, Issue 3, May 2014, pp 9-18 9. A.M Shende, A.M Pande, M. Gulfam Pathan., “Experimental study on fibre reinforced concrete for M-40 Grade”, International Refereed Journal of Engineering and Science (IRJES) Volume 1, Issue 1, September 2012, pp 43-48 10. Shubha Khatri., “Impact of Admixture and Rice Husk Ash in Concrete Mix Design”, IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), Volume 11, Issue 1, Ver 4, February 2014, pp 13-17 11. Tanvir Hossain, Shuronjit Kumar Sarker, B.C. Basak.,Utilization potential of rice husk ash a construction material in rural areas, Journal of Civil Engineering (IEB), 39 (2), November 2011, pp 175-188.

Authors: P. Sampath, P. Asha Paper Title: Study on Concrete with Waste Tyre As Replacement for Aggregate Abstract: Concrete is a construction material. It has cement, fine aggregate, coarse aggregate and water in proper mix proportion as per IS code 10262-2009. In addition to ordinary concrete the waste tyre rubbers are addad to the concrete.The percentage replacement of waste tyre fine aggregate (<4.75mm) used in this project are 2.5%, 5%,7.5%, and 10% and the percentage replacement of waste tyre coarse aggregate used in this project are 12.5%, 25%,37.5% and 50%. The coarse aggregates are 60% of size 10mm to 20mm size and 40% of 4.75mm to 10mm size for better compaction and to avoid voids during casting and surface finishing. The objective of this project is to determine the compressive strength, split tensile strength and flexural strength at which concrete 47. cube, cylinder and prism fails. The concrete strengths of compression, split tension and flexure values varies with in a limit of 20%. Hence it is concluded that fine aggregate and coarse aggregate tyre waste can be used upto 5% 242-244 and 25% for compressive strength, 7.5% and 37.5% for split tension tensile strength and 2.5% and 12.5% for flexural strength replacement in concrete with loss of strength up to 20%. References: 1. Akinwonmi, Department of Mechanical Engineering University of Mines, “Mechanical Strength of Concrete with Crumb And Shredded tyre as Aggregate Replacement”, IJERA, Vol.3. Issue 2, 2013, pp. 1098-1101. 2. Doddurani, “Experimental Behaviour Of Waste tyre Rubber Aggregate Concrete Under Impact Loading”, Science and Technology Transactions of Civil Engineering, Vol. 38,2014, pp. 251-259, 3. El-Gammal, “The application of recycled waste tire rubber by replacing fine and coarse aggregate in concrete has been performed at different percentages to study the change in compressive strength & density of concrete”, JTEAS, Volume 1 (1), 2010,pp.96-99.

Authors: M. Venkata Ramana, E. Sreenivasa Reddy, CH. Satayanarayana Paper Title: Enhanced Curvlet Transform based Artificial Neural Network for Brain Tumor Diagnosis 48. Abstract: Brain tumor is one of the health problems faced by human beings. It often leads to death of people. 245-252 Detecting it early can help in taking treatment and improve quality of life. The detection has to be made with MRI brain tumor images. Fourier transform, wavelet transform, Ridgelet transform and Curvelet transform are the techniques exist for representing images. Fourier transform can represent signals with only frequency domain and information on temporal domain is missing. To overcome this drawback, wavelet transform is used which can represent signal using wavelets in both time and frequency domains. However, wavelets are not good for images with different angles and different scales. Ridgelets could handle images with line singularities but could not handle images with curves. Curvlet transform can overcome this problem besides representing images with different scales and different angles. Curvlet Transform (CT) with enhancements can support dynamic texture classification for detection of brain tumor. Thus in this paper Enhanced CT (ECT) is used to have better diagnosis of brain tumor. A framework with underlying algorithms based on ECT is designed and implemented. A prototype application is built using MATLAB to demonstrate proof of the concept. The empirical results revealed that the proposed method has significant performance improvement over state of the art approaches.

Keywords: Curvlet transform, enhanced curvelet transform, brain tumor detection framework.

References: 1. A. Anbarasa Pandian and Dr. R. Balasubramanian. (2011). Performance Analysis of Texture Image Retrieval in Curvelet, Contourlet and Local Ternary Pattern using DNN and ELM Classifiers for MRI Brain tumor images. Springer, p1-11. 2. Himanshi, Vikrant Bhateja, Abhinav Krishn and Akanksha Sahu. (2016). Medical Image Fusion in Curvelet Domain Employing PCA and Maximum Selection Rule. Springer, p1-10. 3. S. Salcedo-Sanz, J. L. Rojo-Álvarez, M. Martínez-Ramón and G. Camps-Valls. (2014). Support vector machines in engineering: an overview. WIREs Data Mining and Knowledge Discovery, p1-37. 4. M. Srinivas, R.RamuNaidu, C.S.Sastry, C.KrishnaMohan. (2015). Contentbasedmedicalimageretrievalusingdictionarylearning. Elsevier, p880–895. 5. Y.V.Sri Varsha and S.Prayla Shyry. (2014). A Novel Approach for Identifying the Stages of Brain Tumor. International Journal of Computer Trends and Technology. 10 (2), p1-5. 6. R. Karthik, R. Menaka and C. Chellamuthu. (2015). A comprehensive framework for classification of brain tumor images using SVM and curvelet transform. Int. J. Biomedical Engineering and Technology. 17 (2), p1-10. 7. Hongliang Xiao, Jian Wen, Lin Gao, Xiayang Xiao, Weilin Li and Can Li. (2016). Method of Tree Radar Signal Processing Based on Curvelet Transform. . 39 (7), p243-250. 8. Abhishek Raj, Alankrita, Akansha Srivastava and Vikrant Bhateja. (2011). Computer Aided Detection of Brain Tumor in Magnetic Resonance Images. IACSIT International Journal of Engineering and Technology. 3 (5), p1-10. 9. Ramya and Kavitha Bai. (2016). A Novel Method of Brain Tumor Detection from MRI Images Using Fuzzy C Means Clustering and Neural Networks - A Survey. International Journal of Advanced Research in Computer and Communication Engineering. 5 (3), p1-4. 10. Dr. S. Suresh Babu. (2016). Analysis And Evaluation Of Brain Tumor Detection From MRI Using F-PSO And FB-K Means. International Journal of Computer Science and Information Technology & Security. 6 (1), p1-9. 11. El-Sayed A. El-Dahshan, Heba M. Mohsen, Kenneth Revett and Abdel-Badeeh M. Salem. (2014). Computer-aided diagnosis of human brain tumor through MRI A survey and a new algorithm. Elsevier, p5526–5545. 12. M. Arfan Jaffar, Abdulrahman Abdulkarim Mirza and Maqsood Mahmud. (2011). MR imaging enhancement and segmentation of tumor using fuzzy curvelet. International Journal of the Physical Sciences. 6 (31), p7242 - 7246. 13. Priyanka S. Jadhav. (2015). Brain Tumor Detection using MRI A Review of Literature. International Journal of Innovations & Advancement in Computer Science. 4 (3), p1-6. 14. Ankita Kaushal and Paramjeet Kaur. (2014). Curvelet and Wavelet Image Fusion using Neural Network Algorithm. International Journal of Computer Science and Information Technologies. 5 (6), p7508-7512. 15. Himanshi, Vikrant Bhateja, Abhinav Krishn and Akanksha Sahu. (2016). Medical Image Fusion in Curvelet Domain Employing PCA and Maximum Selection Rule. IEEE, p1-10. 16. A. Anbarasa Pandian and R. Balasubramanian. (2015). Performance Analysis Of Texture Image Retrieval For Curvelet, Contourlet Transform And Local Ternary Pattern Using Mri Brain Tumor Image. International Journal in Foundations of Computer Science & Technology. 5 (6), p1-14. 17. K.Pradeep, S.Balasubramanian, Hemalatha Karnan and K.Karthick Babu. (2014). Segmentation of Fused CT and MRI Images with Brain Tumor. Asian Journal of Science and Applied Technology. 6 (1), p1-4. 18. Akanksha Sharma. (2013). Review of CAD Techniques for Liver Tumor Detection. International Journal of Advanced Research in Computer Science and Software Engineering. 3 (10), p1-4. 19. Muhammad R. Al kahlout. (2013). Brain Tumor Detection Based On Curvelet and Artificial Neural Network. Computer Engineering Department, p1-78. 20. R.Bharathi and Dr.Divya Satish. (2015). Improving Mri Brain Tumor Classification And Segmentation Based On Comparison Technique. International Journal of Emerging Technology in Computer Science & Electronics. 13 (1), p1-10. 21. SL Jany Shabu and Jayakumar. (2016). Detection of Brain Tumor by Image Fusion Using Genetic Algorithm. Research Journal of Pharmaceutical, Biological and Chemical Sciences, p1-7. 22. (2015). Biomedical Image Segmentation and Statistical Texture Classification Techniques – An Overview, p1-40. 23. Wei Liu, Siyuan Cao, Yangkang Chen and Shaohuan Zu. (2016). An effective approach to attenuate random noise based on compressive sensing and curvelet transform. Journal of Geophysics and Engineering, p1-13. 24. Laurent Demanet and Lexing Ying. (2007). Curvelets and Wave Atoms for Mirror-Extended Images. IEEE, p1-15. 25. C. Raju, T. Sreenivasulu Reddy and M. Sivasubramanyam. (2016). Denoising of Remotely Sensed Images via Curvelet Transform and its Relative Assessment. Procedia Computer Science. 89, p771-777. 26. Lexing Ying, Laurent Demanet and Emmanuel Cand`es. (2005). 3D Discrete Curvelet Transform. IEEE, p1-11. 27. Emmanuel J. Candes and Laurent Demanet. (2004). The Curvelet Representation of Wave Propagators is Optimally Sparse. IEEE, p1- 44. 28. Emmanuel J. Cand`es and David L. Donoho. (2002). Continuous Curvelet Transform: II. Discretization and Frames. IEEE, p1-22. 29. Abdullah M. Hammouche ,Hazem M. El-Bakry ,Reham R. Mostafa . (2016). Image Contrast Enhancement Using Fast Discrete Curvelet Transform via Unequally Spaced Fast Fourier Transform (FDCT-USFFT) . International Journal of Electronics Communication and Computer Engineering . 7 (2), p1-6. 30. Emmanuel J. Candes,David L. Donoho. (2002). New Tight Frames of Curvelets and Optimal Representations of Objects with C 2 Singularities. IEEE, p1-39. 31. Emmanuel Candes , Laurent Demanet. (2002). Curvelets and Fourier Integral Operators. IEEE, p1-9. 32. Emmanuel J. Candes and Franck Guo. (2001). New Multiscale Transforms, Minimum Total Variation Synthesis: Applications to Edge- Preserving Image Reconstruction. IEEE, p1-36. 33. Sloven Dubois, Renaud Péteri, Michel Ménard. (2013). Characterization and Recognition of Dynamic Textures based on 2D+T Curvelet Transform. IEEE, p1-13. 34. Jianwei Ma and Gerlind Plonka. (2010). The Curvelet Transform. IEEE SIGNAL PROCESSING MAGAZINE. 118, p1-16. 35. Padmanjali A Hagargi, Dr.Shubhangi . (2018). Brain Tumor MR Image Fusion Using Most Dominant Features Extraction from Wavelet and Curvelet Transforms. International Research Journal of Engineering and Technology. 5 (5), p1-6. 36. Tong Qiao, Jinchang Ren, Zheng Wang, Jaime Zabalza, Meijun Sun, Huimin Zhao, Shutao Li, Jón Atli Benediktsson, Qingyun Dai, and Stephen Marshall. (2015). Effective Denoising and Classification of Hyperspectral Images using Curvelet Transform and Singular Spectrum Analysis. IEEE, p1-16. 37. Paul Hill,Alin Achim,Mohammed E. Al-Mualla, d David Bull. (2016). 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Authors: K. Pradeep kumar, G. Lakshmeeswari Paper Title: Extended and Modified Fade for Self-Destruction of Data in Cloud Abstract: Cloud Computing is a technology that offers many services through Internet and remote servers. Data storage is one amongst its services. Storing voluminous data generated as a part of day to day business activities requires loads of storage resources and is costly affair to own these storage devices. A better solution to this is Cloud Storage. Data stored in cloud is made available as a service through a network. Cloud offers data access irrespective of the user or data location with minimal efforts. This flexibility has attracted many users towards cloud storage services. Data gets transmitted through internet and users can access data regardless of their location or access device. It is the combined responsibility of the user as well as the Cloud Service Provider(CSP) to safeguard data on the cloud. Service Level Agreement(SLA) is a contract between the provider and the user that contains the terms and duration of service offered by the cloud provider. During the service period, Multiple copies of data is backed up at different geographical locations for data availability and every trace of data may not be completely destroyed on expiry of SLA. Even after deletion of user’s data from cloud there may be some data which is not visible to the user but may be present on servers. This is referred as Data Remanence. When a file is deleted the Operating System(OS) will remove the file entry in the file system but data will exist on the physical hard drive in the data area or data block and can be recovered using retrieving tools. A solution to this problem has been proposed in order to overcome this by overwriting the actual file contents.

Keywords: Cloud computing, Cloud Storage, Data Remanence, Service Level Agreement, FADE, Encrypt- Overwrite, Key authority.

49. References: 1. Scott Wolchok, Owen S Hofmann, Nadia Heninger, Edward W Felten, J Alex Halderman, Christopher J Rossbach, Brent Waters, Emnet Mitchel” Defeating Vanish with low-cost Sybil Attacks Against large DHTs”, conference proceedings of the Network and 253-256 Distributed System Security Symposium, NDSS, SanDiego,california, USA, 2010 2. Lingfangzeng, Zhan shi, Shengjie Xu, Dan Feng “Safe vanish: An Improved data self destruction for protecting data privacy” ,IEEE International Conference on Cloud Computing Technology and Science, 2010. 3. Yang Tang, Patrick P. C. Lee, John C. S. Lui, and RadiaPerlman, "FADE: Secure Overlay Cloud Storage with File Assured Deletion”, IEEE, 2005. 4. R. Perlman. “File System Design with Assured Delete”. In ISOC NDSS, 2007. 5. AshfiaBinte Habib, Tasnim Khanam, Rajesh Palit “Simplified File Assured Deletion (SFADE) - A UserFriendly Overlay Approach for Data Security in Cloud Storage System” , IEEE,2013. 6. Raisa Nusrat, Rajesh Palit “Simplified FADE with Sharing Feature (SFADE+): A Overlay Approach for Cloud Storage System”,,IEEE,2017. 7. JinboXiong ,Zhiqiangyao , Jinfeng Ma, Ximeng Liu , QI Li "A Secure Document Self-destruction Scheme: An ABE Approach“,IEEE,2013. 8. JinboXiong ,Zhiqiangyao , Jianfeng Ma, Ximeng Liu, QI LI "A Secure Document Self- destruction Scheme with Identity Based Encryption“,IEEE,2013 9. FU Xiao, WANG Zhi-jian ,WU Hao, YANG Jia-qi,WANG Zi-Zhao "How to send a Self-destructing Email",IEEE,2014. 10. R.Barona , E.A.Mary Anita "A Survey on Data Breach Challenges in Cloud Computing Security : Issues and Threats“, IEEE,2017. 11. Jayashree Agarkhed ,Ashalatha R, "An Efficient Auditing Scheme for Data Storage Security in Cloud" ,IEEE,2017 12. LingfangZeng,Zhan Shi*, Shengjie Xu, Dan Feng "Safe Vanish: An Improved Data Self-Destruction for Protecting Data Privacy“, IEEE,2010. 13. Igarramenzakaria, Hedaboumustaha “FADETPM: Novel Approach of File Assured Deletion based on Trusted platform module”,IEEE,2017. 14. Yuanyuan Zhang, JinboXiong, Xuan Li, Biao Jin, Suping Li, Xu An Wang “A Multi-Replica Associated Deleting Scheme in Cloud”, 10th International Conference on Complex, Intelligent, and Software Intensive Systems, 2016. 15. Marco Balduzzi, JonasZaddach, Davide Balzoro, Enginkirda, Serigo Loureiro," Asecurity analysis of Amazon's Elastic compute cloud service" ACM,2012.

Authors: B. Mouleswararao, Y. Srinivas Effective Identification of Features for the Diagnosis of Parkinson’s disease using High utility Item Paper Title: set Mining together with GMM Abstract: Disease detection is an imperative task in medical discipline. Many techniques based on image 50. processing and data mining were employed for the early disease detection. In recent years, in spite of the latest encroachments in the science and technology, individuals experience from abundant brain disorders diseases such 257-261 as Alzheimer and Parkinson. Among these diseases, Parkinson’s Disease(P.D.) is mostly influenced around the world and therefore many methodologies were emerged to combat the disease. However, as the number of symptoms prevailing to this disease is plentiful, identifying the most subjective symptom is a challenging task. This article makes an attempt to identify the most prevailing symptoms based on high utility mining together with statistical modeling, such that effective treatment can be imparted at the early stage.

Keywords: High utility item set, statistical modeling, Parkinson’s disease, Alzheimer disease, medical imaging.

References: 1. Bellou, V.; Belbasis, L.; Tzoulaki, I.; Evangelou, E.; Ioannidis, J.P. Environmental risk factors and Parkinson’s disease: An umbrella review of meta-analyses. Parkinsonism Relat. Disord. 2016, 23, 1–9. 2. Berg, D.; Postuma, R.B.; Adler, C.H.; Bloem, B.R.; Chan, P.; Dubois, B.; Gasser, T.; Goetz, C.G.; Halliday, G.; Joseph, L.; et al. MDS research criteria for prodromal Parkinson’s disease. Mov. Disord. 2015, 30, 1600–1611. 3. Babu GS, Suresh S. Parkinson’s disease prediction using gene expression – A projection based learning meta-cognitive neural classifier approach. Expert Syst Appl. 2013; 40(5):1519–29. doi:10.1016/j.eswa.2012.08.070. 4. Rustempasic I, Can M. Diagnosis of Parkinson’s Disease using Fuzzy C-Means Clustering and Pattern Recognition. SOUTHEAST Eur J SOFT Comput. 2013; 2(1):42–9. Available from: http://scjournal.com.ba/index.php/scjournal/ article/viewFile/43/40 5. Abinaya S, R, Karnan M, Shankar DM, Karthikeyan M. Detection of Breast Cancer In Mammograms - A Survey. Int J Comput Appl Eng Technol. 2014; 3(2):172–8. 6. Shahbakhi M, Far DT, Tahami E. Speech Analysis for Diagnosis of Parkinson’s Disease Using Genetic Algorithm and Support Vector Machine. J Biomed Sci Eng. 2014; 7(4):147– 56. doi:10.4236/jbise.2014.74019. 7. Defeng Wu, Kevin Warwick, Zi Ma, Jonathan G. Burgess, Song Pan, Tipu Z. Aziz " Prediction of Parkinson’s disease tremor onset using radial basis function neural networks " Expert Systems with Applications 37 (2010) 2923– 2928. 8. Maria C Rodriguez-Oroz, Marjan Jahanshahi, Paul Krack, Irene Litvan, Raúl Macias, Erwan Bezard, José A Obeso "Initial clinical manifestations of Parkinson’s disease: features and pathophysiological mechanisms" Lancet Neurol 2009; 8: 1128–39 9. Hartelius L. • Svensson P. "Speech and swallowing symptoms associated with Parkinson's disease and multiple sclerosis: a survey" FOLIA PHONIATR LOGOP. 1994;46(1):9-17. 10. Sofie Lundgren, Thomas Saeys, Fredrik Karlsson, Katarina Olofsson, Patric Blomstedt, Jan Linder, Erik Nordh, Hamayun Zafar, and Jan van Doorn "Deep Brain Stimulation of Caudal Zona Incerta and Subthalamic Nucleus in Patients with Parkinson’s Disease: Effects on Voice Intensity " SAGEHindawi Access to Research Parkinson’s Disease Volume 2011. 11. Hirsch, L.; Jette, N.; Frolkis, A.; Steeves, T.; Pringsheim, T. The incidence of Parkinson’s disease: A systematic review and meta- analysis. Neuroepidemiology 2016, 46, 292–300. 12. B.Mouleswararao,Dr.Y.Srinivas, ,Towards Efficient Identification of Parkinson’s Disease based on Frequent Pattern Mining and GMM, Jour of Adv Research in Dynamical & Control Systems, Vol. 10, No. 10, 2018. 13. Elbaz, A.; Carcaillon, L.; Kab, S.; Moisan, F. Epidemiology of Parkinson’s disease. Rev. Neurol. 2016, 172, 14–26, doi:10.1016/j.neurol.2015.09.012. 14. Drotar, P.; Mekyska, J.; Rektorova, I.; Masarova, L.; Smekal, Z.; Faundez-Zanuy, M. Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson’s disease. Artif. Intell. Med. 2016, 67, 39–46. 15. Brabenec, L.; Mekyska, J.; Galaz, Z.; Rektorova, I. Speech disorders in Parkinson’s disease: Early diagnostics and effects of medication and brain stimulation. J. Neural Transm. 2017, 124, 303–334. 16. De Stefano, C.; Fontanella, F.; Impedovo, D.; Pirlo, G.; di Freca, A.S. Handwriting analysis to support neurodegenerative diseases diagnosis: A review. Pattern Recognit. Lett. 2018, in press. 17. Thomas, M.; Lenka, A.; Kumar Pal, P. Handwriting Analysis in Parkinson’s Disease: Current Status and Future Directions. Mov. Disord. Clin. Pract. 2017, 4, 806–818.

Authors: T.Manjula, R.Rajeswari , Anumita Dey , Krishna Deepika Paper Title: Dominator Coloring Of Certain Graphs Abstract: A proper vertex or node coloring of a graph where every vertex of the graph dominates all vertices of some color class is called the dominator coloring of the graph. The least number of colors used in the dominator coloring of a graph is called the dominator coloring number denoted by χd (G). The dominator chromatic number and domination number of closed sun graph, closed helm graph, generalized Flower snark, Double star snark and Watkins snark graph are derived and the relation between them are expressed in this paper.

Keywords: Coloring, Domination, Dominator Coloring.

References: 1. T.W.Haynes, S.T. Hedetniemi, Peter Slater, “Fundamentals of Domination in graphs”, Marcel Dekker, New York, (1998). 2. Gera, R., S Horton, C., Rasmussen, 2006, “Dominator colorings and safe clique partitions,” Congressus Numerantium 181, 19 - 32. 51. 3. Merouane, Houcine Boumediene, et al. 2015, “Dominated colorings of graphs,” Graphs and Combinatorics 31.3: 713-727m. 4. Arumugam S, Chandrasekar K Raja, Misra Neeldhara, Philip Geevarghese and Saurabh Saket, “Algorithmic aspects of dominator 262-268 colorings in graphs,”Lecture Notes in Comput.Sci. 7056 (2011) 19–30 5. K. Kavitha & N. G. David, Nov. 2012“Dominator coloring of some classes of graphs,” International Journal of Mathematical Archive- 3 (11). 6. T. Manjula and R.Rajeswari, 2015, “Dominator coloring of prism graph,” Applied Mathematical Sciences, Vol. 9, no. 38, 1889 - 1894 7. T. Manjula and R.Rajeswari, 2016, “Dominator coloring of Quadrilateral Snake graph, Triangle Snake and Barbell graph,”Second International Conference on Science Technology Engineering and Management (ICONSTEM), IEEE digital Library. 8. T. Manjula and R.Rajeswari, 2018, “Dominator chromatic number of M-Splitting graph and M-Shadow graph of Path graph,” International Journal of BioMedical Engineering and Technology, Vol.27, No. 1/2, Pp 100-113. 9. S.N. Daoud, K. Mohamed, “The complexity of some families of cycle-related graphs,” J. Taibah Univ. Sci. (2016), http://dx.doi.org/10.1016/j.jtusci.2016.04.002 10. Snark (graph theory) from Wikipedia, https://en.wikipedia.org/wiki/Flower_snark 11. U.Muthumari, M.Umamaheswari, 2016, “ Harmonious coloring of central graph of some types of graphs,” International Journal of Mathematical Archive, 7[8], Pp 95-103.

Authors: Dominator Coloring Number of Some Class of Graphs Paper Title: R.Rajeswari , T.Manjula , Krishna Deepika , Anumita Dey Abstract: A proper node coloring of a graph where every node of the graph dominates all nodes of some color 52. class is called the dominator coloring of the graph. The least number of colors used in the dominator coloring of a 269-274 graph is called the dominator chromatic number denoted by χd (G). The dominator chromatic number and domination number of rose graph, triangular belt graph and alternate triangular belt graph is obtained and a relation between dominator chromatic number, domination number and chromatic number is expressed in this paper.

Keywords: Coloring, Domination, Dominator Coloring.

References: 1. T.W.Haynes, S.T. Hedetniemi, Peter Slater, “Fundamentals of Domination in graphs”, Marcel Dekker, New York, (1998). 2. Gera, R., S Horton, C., Rasmussen, 2006, “Dominator colorings and safe clique partitions,” Congressus Numerantium 181, 19 - 32. 3. Merouane, Houcine Boumediene, et al. 2015, “Dominated colorings of graphs,” Graphs and Combinatorics 31.3: 713-727m. 4. Arumugam S, Chandrasekar K Raja, Misra Neeldhara, Philip Geevarghese and Saurabh Saket, “Algorithmic aspects of dominator colorings in graphs,”Lecture Notes in Comput.Sci. 7056 (2011) 19–30 5. K. Kavitha & N. G. David, Nov. 2012“Dominator coloring of some classes of graphs,” International Journal of Mathematical Archive- 3 (11). 6. T. Manjula and R.Rajeswari, 2015, “Dominator coloring of prism graph,” Applied Mathematical Sciences, Vol. 9, no. 38, 1889 – 1894 7. 8. T. Manjula and R.Rajeswari, 2016, “Dominator coloring of Quadrilateral Snake graph, Triangle Snake and Barbell graph,”Second International Conference on Science Technology Engineering and Management (ICONSTEM), IEEE digital Library. 9. T. Manjula and R.Rajeswari, 2018, “Dominator chromatic number of M-Splitting graph and M-Shadow graph of Path graph,” International Journal of BioMedical Engineering and Technology, Vol.27, No. 1/2, Pp 100-113. 10. U.Muthumari, M.Umamaheswari, 2016, “ Harmonious coloring of central graph of some types of graphs,” International Journal of Mathematical Archive, 7[8], Pp 95-103. 11. N.B. Rathod ,K.K. Kanani, 2017, “k-cordial Labeling of Triangular Belt, Alternate Triangular Belt, Braid Graph and Z-Pn” , International Journal of Mathematics and its applications, Volume 5, Issue 4{E (2017), Pp 655-662.

Authors: Sathyarajasekaran K, Ganesan R Paper Title: Change impact analysis (CIA) and its role in analysis and design of software development Abstract: Change Impact Analysis (CIA) is becoming an important aspect in all fields especially in the field of software development. When a software project is being built there is so many issues arising throughout the development process from the analysis of problem till the system is getting deployed, where certain issues leads to project failure because of the project can’t be deployed in the right time, the reason behind this is, the change in requirements of software affects continuously and new requirements from the user can evolve more often. The major reasons hidden in this are the requirements that are manually documented and the dependency issues over the requirements are also manually performed. Objective: In this paper, we aim to perform a literature survey over the emerging aspects of Change Impact Analysis methodology narrowed to requirement phase and design phase alone. This work focus to identify unsolved issues, areas of research, and challenges addresses in change impact analysis with requirement and design of software development. This paper also provides possible directions for further research in impact analysis caused by changes in requirements and design.

Keywords: Change Impact Analysis, Requirement Phase, Design Phase.

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Authors: M. Chandrakala, S. Ravi Paper Title: Effective 3D Face Recognition Technique Based on Gabor and LTP Features Abstract: Face recognition is one of the evergreen research areas, owing to the increased applicability of the face recognition system in several real-time applications. Previously, 2D face recognition systems are employed to serve the purpose however, these systems suffer from several external environmental conditions. This drawback is addressed by the 3D face recognition system, which can withstand the adverse external environmental conditions. However, the 3D face recognition systems are very limited in the existing literature. Taking this as a challenge, this work presents a 3D face recognition system that relies on gabor and Local Ternary Pattern (LTP) features. The significant features are selected by means of Information Gain Ratio (IGR) and the Extreme Learning Machine (ELM) classifier is trained to classify between the human faces. The performance of the proposed approach is satisfactory in terms of accuracy, sensitivity and specificity rates.

Keywords: Face recognition, LTP, gabor, classification.

References: 1. Prabhakar, S., Pankanti, S., & Jain, A. K. (2003). Biometric recognition: Security and privacy concerns. IEEE security & privacy, (2), 33-42. 2. Buciu, I., & Gacsadi, A. (2016). Biometrics systems and technologies: a survey. International Journal of Computers Communications & Control, 11(3), 315-330. 3. Neves J, Narducci F, Barra S et al (2016) Biometric recognition in surveillance scenarios: a survey. 4. Artif Intell Rev 1–27. doi:10.1007/s10462-016-9474-x 5. Yin J, Zeng W, Wei L (2016) Optimal feature extraction methods for classification methods and their applications to biometric Recognition. Knowl Based Syst 99:112–122. 6. Blanco-Gonzalo R, Poh N, Wong R et al (2015) Time evolution of face recognition in accessible scenarios. Human-centric Comput Inf Sci 5(1):1–11 7. Guosheng Hu, Fei Yan, Chi-Ho Chan, Weihong Deng, William Christmas, Josef Kittler, Neil M. Robertson, "Face Recognition Using a Unified 3D Morphable Model", European Conference on Computer Vision, Lecture Notes in Computer Science, Vol.9912, 2016. 8. Pengfei Dou ; Shishir K. Shah ; Ioannis A. Kakadiaris, "End-to-End 3D Face Reconstruction with Deep Neural Networks", IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, USA, 21-26 July, 2017. 9. Koushik Dutta, Debotosh Bhattacharjee, Mita Nasipuri, Anik Poddar, "3D Face Recognition Based on Volumetric Representation of 54. Range Image", Advanced Computing and Systems for Security, Advances in Intelligent Systems and Computing, Vol.883, pp. 175-189, 2019. 284-290 10. Umara Zafar, Mubeen Ghafoor, Tehseen Zia, Ghufran Ahmed, Ahsan Latif, Kaleem Razzaq Malik, Abdullahi Mohamud Sharif, "Face recognition with Bayesian convolutional networks for robust surveillance systems", EURASIP Journal on Image and Video Processing, Vol.10, 2019. 11. Huibin Li, Di Huang, Jean-Marie Morvan, Yunhong Wang, Liming Chen, "Towards 3D Face Recognition in the Real: A Registration- Free Approach Using Fine-Grained Matching of 3D Keypoint Descriptors", International Journal of Computer Vision, Vol.113, No.2, pp.128-142, 2015. 12. S.Elaiwat, M.Bennamoun, F.Boussaid, A.El-Sallam, "A Curvelet-based approach for textured 3D face recognition", Pattern Recognition, Vol.48, No.4, pp. 1235-1246, 2015. 13. Mehryar Emambakhsh, Adrian Evans, "Nasal Patches and Curves for Expression-Robust 3D Face Recognition", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.39, No.5, pp. 995-1007, 2017. 14. Walid Hariri, Hedi Tabia, Nadir Farah, Abdallah Benouareth, David Declercq, "3D face recognition using covariance based descriptors", Pattern Recognition Letters, Vol.78, pp.1-7, 2016. 15. Sima Soltanpour, Boubakeu Boufama, Q.M.Jonathan Wu, "A survey of local feature methods for 3D face recognition", Pattern Recognition, Vol.72, No. 391-406, 2017. 16. Yue Ming, "Robust regional bounding spherical descriptor for 3D face recognition and emotion analysis", Image and Vision Computing, Vol.35, pp.14-22, 2015. 17. Sima Soltanpour ; Qing Ming Jonathan Wu, "Weighted Extreme Sparse Classifier and Local Derivative Pattern for 3D Face Recognition", IEEE Transactions on Image Processing, Early Access, 2019. DoI:10.1109/TIP.2019.2893524 18. João Neves ; Hugo Proença, "“A Leopard Cannot Change Its Spots”: Improving Face Recognition Using 3D-Based Caricatures", IEEE Transactions on Information Forensics and Security, Vol.14, No.1, pp.151-161, 2019. 19. Soodamani Ramalingam, Aruna Shenoy, Nguyen Trong Viet, "Fundamentals and Advances in 3D Face Recognition", Biometric-Based Physical and Cybersecurity Systems, pp.125-162, 2018. 20. Jianying Feng, Qian Guo, Yudong Guan, Mengdie Wu, Xingrui Zhang, Chunli Ti, "3D Face Recognition Method Based on Deep Convolutional Neural Network", Smart Innovations in Communication and Computational Sciences, pp.123-130, 2018. 21. Chandrakala M. and Ravi S., "Robust 3D Face Recognition System based on Feature Selection and SVM", Cluster Computing, Article in Press, 2018. DoI. 22. Chandrakala M. and Ravi S., "Time Conserving Face Recognition System for 3D Face Images Based on SURF and LDP", International Journal of Pure and Applied Mathematics, Vol.119, No.17, pp.1291-1305, 2018. 23. Guang-Bin Huang, Hongming Zhou, Xiaojian Ding, and Rui Zhang, Extreme Learning Machine for Regression and Multiclass Classification, IEEE Transactions on systems, Man and Cybernetics - Part B, Vol.42, No.2, pp.513-529, 2012. 24. http://www.face-rec.org/databases/

Authors: J. Jayapal , Ravi Subban 55. Paper Title: Medical Image Quality Enhancement System with Noise Removal Based on NSCT and WOA Abstract: Noise is one of the inevitable curses of images, which seriously affects the process of image analysis. 291-297 An image processing can yield better results only when the images are of better quality. Image pre-processing is the most significant phase than any other image processing activities. The main activity of image pre-processing is the image denoising. Though there are numerous denoising systems in the existing literature, the denoising systems for medical images are on high demand due to the sensitiveness. Understanding the requirement, this article intends to present a denoising system for medical images based on the combination of Non-Subsampled Contourlet Transform (NSCT) and Whale Optimization Algorithm (WOA). The performance of the proposed approach is tested in terms of PSNR and SSIM. The proposed approach proves better performance, when compared to the existing approaches.

Keywords: Noise, image denoising, quality enhancement.

References: 1. Arivazhagan, Deivalakshmi and Kannan, “Performance Analysis of Image Denoising System for different levels of Wavelet decomposition”, International Journal of Imaging Science and Engineering, Vol.3, 2007 2. Radu Ciprian Bilcu and Markku Vehvilainen, "A NOVEL DECOMPOSITION SCHEME FOR IMAGE DE-NOISING", IEEE International Conference on Acoustics, Speech and Signal Processing, pp.577-580, 2007. 3. Kulkarni, Meher and Nair, "An Algorithm for Image Denoising by Robust Estimator", European Journal of Scientific Research, Vol.39, No.3, pp.372-380, 2010. 4. Bhattacharyya, S. (2011). A brief survey of color image preprocessing and segmentation techniques. Journal of Pattern Recognition Research, 1(1), 120-129. 5. Medjahed, S. A. (2015). A comparative study of feature extraction methods in images classification. International Journal of Image, Graphics and Signal Processing, 7(3), 16. 6. Fellner, F. A. (2016). Introducing cinematic rendering: a novel technique for post-processing medical imaging data. Journal of Biomedical Science and Engineering, 9(03), 170. 7. Hiroyuki Takeda, Sina Farsiu and Peyman Milanfar, “Kernel Regression for Image Processing and Reconstruction”, IEEE Transactions on Image Processing, VOL. 16, NO. 2, Feb 2007. 8. Yong-Hwan Lee and Sang-Burm Rhee, "Wavelet-based Image Denoising with Optimal Filter", International Journal of Information Processing Systems, Vol.1, No.1, 2005 9. Petrick, N., Sahiner, B., Armato, S. G., Bert, A., Correale, L., Delsanto, S., ... & Huo, Z. (2013). Evaluation of computer-aided detection and diagnosis systems. Medical physics, 40(8). 10. Jian Sun ; Zingben Xu, "Color Image Denoising via Discriminatively Learned Iterative Shrinkage", IEEE Transactions on Image Processing, Vol.24, No.11, pp. 4148-4159, 2015. 11. Hongying He ; Wei-Jen Lee ; DianSheng Luo ; Yijia Cao, "Insulator Infrared Image Denoising Method Based on Wavelet Generic Gaussian Distribution and MAP Estimation", IEEE Transactions on Industry Applications, Vol. 53, No.4, pp.3279-3284, 2017. 12. Vimalraj Chinnathambi ; Esakkirajan Sankaralingam ; Veerakumar Thangaraj ; Sreevidya Padma, "Despeckling of ultrasound images using directionally decimated wavelet packets with adaptive clustering", IET Image Processing, Vol.13, No.1, pp. 206-215, 2019. 13. Jiachao Zhang ; Keigo Hirakawa, "Improved Denoising via Poisson Mixture Modeling of Image Sensor Noise", IEEE Transactions on Image Processing, Vol.26, No.4, pp.1565-1578, 2017. 14. Meng Li ; Subhashis Ghosal, "Fast Translation Invariant Multiscale Image Denoising", IEEE Transactions on Image Processing, Vol.24, No.12, pp.4876-4887, 2015. 15. Younes Farouj ; Jean-Marc Freyermuth ; Laurent Navarro ; Marianne Clausel ; Philippe Delachartre, "Hyperbolic Wavelet-Fisz Denoising for a Model Arising in Ultrasound Imaging", IEEE Transactions on Computational Imaging, Vol.3, No.1, pp.1-10, 2017. 16. Hyunho Choi ; Jechang Jeong, "Despeckling Images Using a Preprocessing Filter and Discrete Wavelet Transform-Based Noise Reduction Techniques", IEEE Sensors Journal, Vol.18, No.8, pp.3131-3139, 2018. 17. Mehdi Mafi ; Solale Tabarestani ; Mercedes Cabrerizo ; Armando Barreto ; Malek Adjouadi, "Denoising of ultrasound images affected by combined speckle and Gaussian noise", IET Image Processing, Vol.12, No.12, pp.2346-2351, 2018. 18. Wu Cheng ; Keigo Hirakawa, "Minimum Risk Wavelet Shrinkage Operator for Poisson Image Denoising", IEEE Transactions on Image Processing, Vol.24, No.5, pp.1660-1671, 2015. 19. J. Jayapal, Dr. S. Ravi, “A Novel Denoising Algorithm Based on Superpixel Clustering and Dictionary Learning Approach”, International Journal of Intelligent Engineering and Systems, Vol.11, No.1, pp.142-152, 2017.DoI: 10.22266/ijies2018.0228.15 20. [ J. Jayapal, Dr. S. Ravi, "Automated LOA Assisted Denoising Approach with Multiple Filters ", Multimedia Tools and Applications, Under Review, 2018. 21. [Muñoz, J.M.M., de Jes´us Ochoa Domínguez, H., Máynez, L.O., et al.: ‘SAR image denoising using the non-subsampled contourlet transform and morphological operators’. 9th Mexican Int. Conf. on Artificial Intelligence, MICAI 2010, Mexico, November 2010, proceedings part 1, pp. 337–347 22. S. Mirjalili , A. Lewis , The whale optimization algorithm, Adv. Eng. Softw. 95 (2016) 51–67. 23. Susant Kumar Panigrahi ; Supratim Gupta ; Prasanna K. Sahu, "Curvelet-based multiscale denoising using non-local means & guided image filter", IET Image Processing, Vol. 12, No.6, pp.909-918, 2018.

Authors: P. Ramesh, M. Devapriya An Optimized Energy Efficient Route Selection Algorithm for Mobile Ad hoc Networks based on Paper Title: LOA Abstract: Due to the advancement of technology and the increased utilization of mobile sensors, Mobile Ad hoc Networks (MANET) has attracted the research attention of numerous researchers. Irrespective of the numerous advantages shown by MANET, there are several challenges confronted by it due to its mobility, unstable topology, energy efficiency and so on. Out of all the challenges, energy efficiency is the most crucial challenges being faced by MANET. The main reason for increased energy consumption of sensors in MANET is 56. the mobility. Taking this challenge into account, this work intends to present an energy efficient routing solution for MANET that is based on the concept of trust and lion optimization algorithm. The lion optimization is a bio- inspired algorithm that helps in detecting the best possible route for the data transmission. The performance of 298-304 the proposed approach is evaluated and compared against the existing approaches in terms of packet delivery rate, latency analysis, energy consumption and network lifetime.

Keywords: MANET, energy efficiency, routing, lifetime enhancement.

References: 1. Charles E. Perkins, Ad Hoc Networking, Addison-Wesley, 2001. 2. C.K. Toh, Ad Hoc Mobile Wireless Networks: Protocols and Systems, Prentice Hall, 2001. 3. R. Bhaskar, J. Herranz, and F. Laguillaumie, “Efficient authentication for reactive routing protocols,” in AINA „06: Proceedings of the 20th International Conference on Advanced Information Networking and Applications -Volume 2 (AINA 06). Washington, DC, USA: IEEE Computer Society, 2006, pp. 57–61. 4. M. Dorigo and C. Blum, “Ant colony optimization theory:a survey,” Theor. Comput. Sci., vol. 344, no. 2-3, pp. 243–278, 2005. 5. Anjali Anand ; Himanshu Aggarwal ; Rinkle Rani, "Partially distributed dynamic model for secure and reliable routing in mobile ad hoc networks", Journal of Communications and Networks, Vol.18, No.6, pp.938-947, 2016. 6. Ramon Sanchez-Iborra ; Maria-Dolores Cano, "JOKER: A Novel Opportunistic Routing Protocol", IEEE Journal on Selected Areas in Communications, Vol.34, No.5, pp.1690-1703, 2016. 7. Ali Mohamed E. Ejmaa ; Shamala Subramaniam ; Zuriati Ahmad Zukarnain ; Zurina Mohd Hanapi, "Neighbor-Based Dynamic Connectivity Factor Routing Protocol for Mobile Ad Hoc Network", IEEE Access, Vol.4, pp.8053-8064, 2016. 8. Tran The Son ; Hoa Le Minh ; Graham Sexton ; Nauman Aslam, "Self-adaptive proactive routing scheme for mobile ad-hoc networks", IET Networks, Vol.4, No.2, pp. 128-136, 2015. 9. Zhinan Li ; Yinfeng Wu, "Smooth Mobility and Link Reliability-Based Optimized Link State Routing Scheme for MANETs", IEEE Communications Letters, Vol.21, No.7, pp. 1529-1532, 2017. 10. Jirui Li ; Xiaoyong Li ; Yunquan Gao ; Yali Gao ; Rui Zhang, "Dynamic Cloudlet-Assisted Energy-Saving Routing Mechanism for Mobile Ad Hoc Networks", IEEE Access, Vol.5, pp.20908-20920, 2017. 11. Darren Hurley-Smith ; Jodie Wetherall ; Andrew Adekunle, "SUPERMAN: Security Using Pre-Existing Routing for Mobile Ad hoc Networks", IEEE Transactions on Mobile Computing, Vol.16, No.10, pp.2927-2940, 2017. 12. Pitchaimuthu Francis Antony Selvi ; Moola Seetharamaiyer Kasiviswanathan Manikandan, "Ant based multipath backbone routing for load balancing in MANET", IET Communications, Vol.11, No.1, pp. 136-141, 2016. 13. Ram Mohan Chintalapalli ; Venugopal Reddy Ananthula, "M-LionWhale: multi-objective optimisation model for secure routing in mobile ad-hoc network", IET Communications, Vol.12, No.12, pp.1406-1415, 2018. 14. Ibrahim Kacem ; Belkacem Sait ; Saad Mekhilef ; Nassereddine Sabeur, "A New Routing Approach for Mobile Ad Hoc Systems Based on Fuzzy Petri Nets and Ant System", IEEE Access, Vol.6, pp.65705-65720, 2018. 15. Rutvij H. Jhaveri ; Narendra M. Patel ; Yubin Zhong ; Arun Kumar Sangaiah, "Sensitivity Analysis of an Attack-Pattern Discovery Based Trusted Routing Scheme for Mobile Ad-Hoc Networks in Industrial IoT", IEEE Access, Vol.6, pp.20085-20103, 2018. 16. S. Surendran ; S. Prakash, "An ACO look-ahead approach to QOS enabled fault- tolerant routing in MANETs", China Communications, Vol.12, No.8, pp.93-110, 2015. 17. Ruo Jun Cai ; Xue Jun Li ; Peter Han Joo Chong, "An Evolutionary Self-Cooperative Trust Scheme Against Routing Disruptions in MANETs", IEEE Transactions on Mobile Computing, Vol.18, No.1, pp.42-55, 2019. 18. Balasubramanian Paramasivan ; Maria Johan Viju Prakash ; Madasamy Kaliappan, "Development of a secure routing protocol using game theory model in mobile ad hoc networks", Journal of Communications and Networks, Vol.17, No.1, pp.75-83, 2015. 19. Jingwen Bai ; Yan Sun ; Chris Phillips ; Yue Cao, "Toward Constructive Relay-Based Cooperative Routing in MANETs", IEEE Systems Journal, Vol.12, No.2, pp.1743-1754, 2018. 20. Mccomb, K, et al. Female lions can identify potentially infanticidal males from their roars. Proc. R. Soc. Lond. Ser B: Biol. Sci. 1993;252 (1333)59–64. 21. Schaller GB. The Serengeti lion: a study of predator–prey relations. Wildlife behavior and ecology series. Chicago, Illinois, USA: University of Chicago Press; 1972.

Authors: Sajitha.A.V , A.C.Subhajini Enbase: Energy- Conscious SLA-Oriented Dynamic VM Consolidation Heuristics in Green Data Paper Title: Centres Using Ant Colony System Abstract: Cloud computing is an burgeoning technology which offers scalable and on-demand services to huge set of users in variety of domains globally. As the popularity increases, the complication of the cloud environment is also increasing at a massive scale. The foremost challenge of this technology is high amount of energy consumption due to the load of servers. Moreover this crisis, it will not provide fruitful results also. In general, each consumer has a service level agreement (SLA), which states some constraints over performance and/or quality of service that it obtains from the method. The breach of the affirmation may lead to SLA violation between consumer and provider. Dynamic Virtual Machine consolidation (DVMP) offers a momentous prospect to conserve energy in the data centers . A VM consolidation technique employs live migration of Virtual Machines(VMs) in order that the underloaded Physical Machines (PMs) can be turned-off or set into a least- power mode and overloaded PMs are reducing its load. But the VM consolidation in live migration may cause the increase of total migration time as well as down time which again grounds the breach of SLA. In this scenario, we proposed a multi-objective SLA oriented energy efficient and network aware DVMP algorithm which utilizes Ant Colony Optimization meta-heuristic named enBASE which finds out global best migration plan to ensure the migration to increase the energy efficiency, minimization of SLA violation as well as improvement of the 57. scalability of the system. The simulation results prove that the proposed algorithm presents an efficient as well as effective solutions for Dynamic VM consolidation inside the cloud data centers. Furthermore, this outpaces three benchmark algorithms such as two ant colony optimization based and one BFD based VM consolidation 305-319 algorithms in respect of increase in energy efficiency, and reduction in total migration time, down time while preserving SLA violation minimization.

Keywords: Cloud Computing, Dynamic Virtual Machine Placement, Live Migration, Total Migration Time, Down Time, Ant Colony System, Service Level Agreement.

References: 1. Namasudra, S. (2018). CLOUD COMPUTING: A NEW ERA. Journal of Fundamental and Applied Sciences, 10(2), 113- 135. 2. EC-European Commission. (2007). Limiting Global Climate Change to 2 degrees Celsius. The way ahead for 2020 and beyond. COM/2007/2. (Accessed in July 2018). 3. Buyya, R., Broberg, J., & Goscinski, A. M. (Eds.). (2010). Cloud computing: Principles and paradigms (Vol. 87). John Wiley & Sons.ISBN: 978-0-47088799-8 4. SLA, C. (2014). Cloud service level agreement standardisation guidelines. European Commission, Brussels. 5. Sajitha, A.V, & Subhajini, A.C (2018). Dynamic VM Consolidation Enhancement for Designing and Evaluation of Energy Efficiency in Green Data Centers Using Regression Analysis. International Journal of Engineering & Technology, 7(3.6), 179-186. doi:http://dx.doi.org/10.14419/ijet.v7i3.6.14966. 6. Ferdaus, M. H., Murshed, M., Calheiros, R. N., & Buyya, R. (2017). Multi-objective, Decentralized Dynamic Virtual Machine Consolidation using ACO Metaheuristic in Computing Clouds. arXiv preprint arXiv:1706.06646. 7. Farahnakian, F., Ashraf, A., Pahikkala, T., Liljeberg, P., Plosila, J., Porres, I., & Tenhunen, H. (2015). Using ant colony system to consolidate VMs for green cloud computing. IEEE Transactions on Services Computing, 8(2), 187-198. 8. Liu, X. F., Zhan, Z. H., & Zhang, J. (2017). An Energy Aware Unified Ant Colony System for Dynamic Virtual Machine Placement in Cloud Computing. Energies, 10(5), 609. 9. Ashraf, A., & Porres, I. (2018). Multi-objective dynamic virtual machine consolidation in the cloud using ant colony system. International Journal of Parallel, Emergent and Distributed Systems, 33(1), 103-120. 10. Aryania, A., Aghdasi, H. S., & Khanli, L. M. (2018). Energy-Aware Virtual Machine Consolidation Algorithm Based on Ant Colony System. Journal of Grid Computing, 1-15. 11. Hassan, M. K., Babiker, A., Baker, M., & Hamad, M. (2018). 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Authors: Sajitha.A.V , A.C.Subhajini Network-Conscious VM Placement for Energy Efficiency in Green Data Centres through Dynamic Paper Title: VM Consolidation Abstract: In the present scenario, cloud computing environment grants all the resources in scalable manner to every users in pay-per-use processing model over the Internet through various data centers. An energy consumption of these resources have to be addressed in many issues in the cloud. A key strategy of virtual machine (VM) management is a live VM migration in data center networks. One of the significant problems of cloud provider is the energy cost. VM migration and placement has been shown as an efficient approach for energy saving. In this paper, we are proposing an algorithm, Modified Energy Conscious Greeny Cloud Dynamic Algorithm (MECGCD), goes for preventing unnecessary traffics in a datacenter network, and excessive energy consumption (EC) started from wrong routing management and improper VM allocation. In this paper, we observe at the issue of how to choose the host for VM placement and to migrate VMs from abnormal loaded 58. hosts such as under loaded or over loaded to another and switching off the idle host machine into sleep mode. VM placement be determined the host machines by shortest distance, minimum EC and maximum bandwidth 320-327 usage in the cloud environment. The evaluation of experiments confirmed that the proposed algorithm minimizes EC and network traffic in a cloud data center in a quotable manner than other existing algorithms.

Keywords: Cloud computing, Haversine, Data center, Live VM migration, energy consumption

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Authors: V. Alan Gowri Phivin, A.C. Subhajini Paper Title: Reliable CBIR System for Fabric Images Based on NSCT and LDP features Abstract: Digital images play an inevitable role in human life and hence, the utilization of images grow day- by-day. Though the advanced storage technology helps in massive data storage, efficient retrieval system is the need of this hour and this issue is well-addressed by Content Based Image Retrieval (CBIR) systems. The CBIR systems are widely present for healthcare and remote sensing domain. However, the presence of CBIR systems is found to be limited for fabric images. Taking this as a challenge, this work presents a CBIR system exclusively meant for fabric images by extracting color and texture features. When the user passes the search query image to the CBIR system, the features of the query image is compared with the features of the images in the dataset, which is performed by ensemble classification. The performance of the proposed CBIR system is found to be satisfactory in terms of retrieval accuracy and time consumption. 59. Keywords: CBIR, color and texture feature, image retrieval. 328-335

References: 1. Jun Yue, Zhenbo Li, Lu Liu, Zetian Fu, "Content-based image retrieval using color and texture fused features", Mathematical and Computer Modelling, V.54, pp. 1121-1127, 2011. 2. ElAlami, M. Esmel. "A new matching strategy for content based image retrieval system", Applied Soft Computing, Vol.14, pp.407- 418, 2014. 3. Haralick, R.M., Shanmugam, K., Dinstein, I.H., "Textural features for image classification", IEEE Trans. Syst. Man Cybern. 6, 610– 621 (1973) 4. Ojala, T., Pietikäinen, M., Harwood, D., "A comparative study of texture measures with classification based on featured distributions", Pattern Recognit. 29(1), 51–59 (1996). 5. Osman Emre Dai ; Begüm Demir ; Bülent Sankur ; Lorenzo Bruzzone, "A Novel System for Content-Based Retrieval of Single and Multi-Label High-Dimensional Remote Sensing Images", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.11, No.7, July 2018 ) 6. Jatindra Kumar Dash ; Sudipta Mukhopadhyay ; Rahul Das Gupta, "Content-based image retrieval using fuzzy class membership and rules based on classifier confidence", IET Image Processing, Vol.9, No.9, pp.836-848, 2015. 7. Licheng Jiao ; Xu Tang ; Biao Hou ; Shuang Wang, "SAR Images Retrieval Based on Semantic Classification and Region-Based Similarity Measure for Earth Observation", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.8 , No.8, pp. 3876-3891, 2015. 8. Hatice Cinar Akakin ; Metin N. Gurcan, "Content-Based Microscopic Image Retrieval System for Multi-Image Queries", IEEE Transactions on Information Technology in Biomedicine, Vol.16, No.4, pp. 758-769, 2012. 9. Jing-Ming Guo, Heri Prasetyo, "Content-Based Image Retrieval Using Features Extracted From Halftoning-Based Block Truncation Coding", IEEE Transactions on Image Processing, Vol.24, No.3, pp. 1010-1024, 2015. 10. Wei Bian ; Dacheng Tao, "Biased Discriminant Euclidean Embedding for Content-Based Image Retrieval", IEEE Transactions on Image Processing, Vol.19, No.2, pp.545-554, 2010. 11. Ashnil Kumar ; Falk Nette ; Karsten Klein ; Michael Fulham ; Jinman Kim, "A Visual Analytics Approach Using the Exploration of Multidimensional Feature Spaces for Content-Based Medical Image Retrieval", IEEE Journal of Biomedical and Health Informatics, Vol.19, No.5, pp.1734-1746, 2015. 12. Gwénolé Quellec ; Mathieu Lamard ; Guy Cazuguel ; Béatrice Cochener ; Christian Roux, "Fast Wavelet-Based Image Characterization for Highly Adaptive Image Retrieval", IEEE Transactions on Image Processing, Vol.21, No.4, pp.1613-1623, 2012. 13. Liu Yang ; Rong Jin ; Lily Mummert ; Rahul Sukthankar ; Adam Goode ; Bin Zheng ; Steven C.H. Hoi ; Mahadev Satyanarayanan, "A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.32, No.1, pp.30-44, 2010. 14. Yibing Ma ; Zhiguo Jiang ; Haopeng Zhang ; Fengying Xie ; Yushan Zheng ; Huaqiang Shi ; Yu Zhao, "Breast Histopathological Image Retrieval Based on Latent Dirichlet Allocation", IEEE Journal of Biomedical and Health Informatics, Vol.21, No.4, pp.1114- 1123, 2017. 15. Jing-Ming Guo ; Heri Prasetyo ; Jen-Ho Chen, "Content-Based Image Retrieval Using Error Diffusion Block Truncation Coding Features", IEEE Transactions on Circuits and Systems for Video Technology, Vol.25, No.3, pp. 466-481, 2015. 16. Lelin Zhang ; Zhiyong Wang ; Tao Mei ; David Dagan Feng, "A Scalable Approach for Content-Based Image Retrieval in Peer-to-Peer Networks", IEEE Transactions on Knowledge and Data Engineering, Vol.28, No.4, pp. 858-872, 2016. 17. Md Mahmudur Rahman ; Sameer K. Antani ; George R. Thoma, "A Learning-Based Similarity Fusion and Filtering Approach for Biomedical Image Retrieval Using SVM Classification and Relevance Feedback", IEEE Transactions on Information Technology in Biomedicine, Vol.15, No.4, pp. 640-646, 2011. 18. Lining Zhang ; Lipo Wang ; Weisi Lin, "Semisupervised Biased Maximum Margin Analysis for Interactive Image Retrieval", IEEE Transactions on Image Processing, Vol.21, No.4, pp.2294-2308, 2012. 19. Peizhong Liu ; Jing-Ming Guo ; Chi-Yi Wu ; Danlin Cai , "Fusion of Deep Learning and Compressed Domain Features for Content- Based Image Retrieval", IEEE Transactions on Image Processing, Vol.26, No.12, pp.5706-5717, 2017. 20. Xiaofan Zhang ; Wei Liu ; Murat Dundar ; Sunil Badve ; Shaoting Zhang, "Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval", IEEE Transactions on Medical Imaging, Vol.34, No.2, pp.496-506, 2015. 21. Jasperlin, T., & Dr. Gnanadurai, “Histopathological Image Analysis by Curvelet Based Content Based Image Retrieval System”, Journal of Medical Imaging and Health Informatics, Vol. 6, No. 8, pp. 2063-2068, 2016. 22. Jabid, T., Kabir, M. H., & Chae, O, Local directional pattern (LDP) forface recognition. In 2010 Digest of Technical Papers International Confer-ence on Consumer Electronics (ICCE) (pp. 329–330), 2010. 23. Do, M. N., & Vetterli, M., The contourlet transform: an efficient directional multiresolution image representation. IEEE Transactions on image processing, 14(12), 2091-2106, 2005. 24. Guang-Bin Huang, Hongming Zhou, Xiaojian Ding, and Rui Zhang, Extreme Learning Machine for Regression and Multiclass Classification, IEEE Transactions on systems, Man and Cybernetics - Part B, Vol.42, No.2, pp.513-529, 2012. 25. http://www.textures.com/browse/

Authors: R. Geetha, M. Sivajothi Paper Title: Automated Mitotic Cell Detection and Classification for Breast Cancer Histopathological Images Abstract: Breast cancer tops the list of life-threatening disease with greater mortality rates for women population. However, the mortality rates caused by breast cancer can be minimized by inculcating periodical screening. Histopathological images are utilized by the pathologists for diagnosing or staging the cancerous growth. As the histopathological images are so intricate, it is quite difficult to analyse the images manually. Understanding the involved difficulty, this work presents an automated mitotic cell detection and classification for breast cancer histopathological images. The performance of the proposed approach is analysed in terms of standard performance measures such as accuracy, sensitivity, specificity and time consumption. The performance of the proposed approach outperforms the existing approaches.

Keywords: Histopathological images, breast cancer, mitotic cell detection.

References: 1. http://cancerindia.org.in/cancer-statistics/ 60. 2. Yasmin M, Sharif M, Mohsin S. Survey paper on diagnosis of breast cancer using image processing techniques. Res J Recent Sci 2013;2(10):88–98. 3. Mohan H. Textbook of Pathology, 7th ed.. New Delhi, India: Jaypee Brothers Medical Publishers (P) Ltd.; 2014. 336-343 4. J. R. Dalle, W. K. Leow, D. Racoceanu, A. E. Tutac, and T.C. Putti, “Automatic breast cancer grading of histopathological images,” in Proceedings of the IEEE International Conference on Engineering in Medicine and Biology Society, pp. 3052–3055, 5. 2008. 6. L. Latson, B. Sebek, and K. A. Powell, “Automated cell nuclear segmentation in color images of hematoxylin and eosin-stained breast biopsy,” Analytical and Quantitative Cytology and Histology, vol. 25, no. 6, pp. 321–331, 2003. 7. M. Veta, P. J. van Diest, R. Kornegoor, A. Huisman, M. A. Viergever, and J. P. W. Pluim, “Automatic nuclei segmentation in H&E stained breast cancer histopathology images,” PLoS ONE, vol. 8, no. 7, Article ID e70221, 2013. 8. E. Cosatto, M. Miller, H. P. Graf, and J. S. Meyer, “Grading nuclear pleomorphism on histological micrographs,” in Proceedings of the 19th International Conference on Pattern Recognition (ICPR ’08), pp. 1–4, Tampa, Fla, USA, December 2008. 9. Fakhrzadeh, E. Sporndly-Nees, L. Holm, and C. L. L. ¨Hendriks, “Analyzing tubular tissue in histopathological thin sections,” in Proceedings of the 14th International Conference on Digital Image Computing Techniques and Applications (DICTA’12), pp. 1–6, Fremantle, Australia, December 2012. 10. Basavanhally, E. Yu, J. Xu et al., “Incorporating domain knowledge for tubule detection in breast histopathology using O’Callaghan neighborhoods,” in Medical Imaging: Computer Aided Diagnosis, vol. 7963 of Proceedings of SPIE, Lake Buena Vista, FLa, USA, February 2011. 11. M. Khan, H. El-Daly, and N. M. Rajpoot, “A gamma-gaussian mixture model for detection of mitotic cells in breast cancer histopathology images,” in Proceedings of the IEEE International conference on Pattern Recognition, pp. 149–152, 2012. 12. Sommer, L. Fiaschi, F. A. Hamprecht, and D. W. Gerlich, “Learning-based mitotic cell detection in histopathological images,” in Proceedings of the 21st International Conference on Pattern Recognition (ICPR ’12), pp. 2306–2309, November 2012. 13. H. Irshad, S. Jalali, L. Roux, D. Racoceanu, L. J. Hwee, and G. Le Naour, “Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach,” Journal of Pathology Informatics, vol. 4, p. 12, 2013. 14. C. Cires¸an, A. Giusti, L. M. Gambardella, and J. Schmidhuber, “Mitosis detection in breast cancer histology images with deep neural networks,” in Medical Image Computing and Computer-Assisted Intervention, pp. 411–418, Springer, Berlin, Germany, 2013. 15. H. Huang and H. K. Lee, “Automated mitosis detection based on exclusive independent component analysis,” in Proceedings of the IEEE International Conference on Pattern Recognition, pp.1856–1859, 2012. 16. Huseyin Cukur ; Gokhan Bilgin, "Detection of mitotic cells in multispectral histopathological images", 25th Signal Processing and Communications Applications Conference, 15-18 May, Antalya, Turkey, 2017. 17. Cheng Lu ; Mrinal Mandal, "Toward Automatic Mitotic Cell Detection and Segmentation in Multispectral Histopathological Images", IEEE Journal of Biomedical and Health Informatics, Vol.18, No.2, pp.594-605, 2014. 18. Angshuman Paul ; Dipti Prasad Mukherjee, "Mitosis Detection for Invasive Breast Cancer Grading in Histopathological Images", IEEE Transactions on Image Processing, Vol.24, No.11, pp.4041-4054, 2015. 19. G. Logambal ; V. Saravanan, "Cancer diagnosis using automatic mitotic cell detection and segmentation in histopathological images", Global Conference on Communication Technologies (GCCT), 23-24 Apr, Thuckalay, India, 2015. 20. Tao Wan ; Xu Liu ; Jianhui Chen ; Zengchang Qin, "Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology", IEEE International Conference on Image Processing, 27-30 Oct, Paris, France, 2014. 21. Christoph Sommer ; Luca Fiaschi ; Fred A. Hamprecht ; Daniel W. Gerlich, "Learning-based mitotic cell detection in histopathological images", Proceedings of the 21st International Conference on Pattern Recognition, 11-15 Nov, Tsukuba, Japan, 2012. 22. H Amitha ; I. Selvamani ; D. Anto Sahaya Dhas, "Developement of computer aided system for detection and classification of mitosis using SVM", International Conference on Inventive Computing and Informatics, 23-24 Nov, Coimbatore, India, 2017. 23. 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Authors: T.S. Sasikala, K. Siva Sankar Paper Title: Unimodal Biometric Based Security Application by Exploiting Retina Abstract: Biometrics based security is one of the current research trends. Though there are several prominent biometrics, retina is one of the biometrics that is literally difficult to alter or duplicate. However, the retinal based biometric systems are scarce in the existing literature. Hence, this article presents a unimodal biometric system, which relies on the retina of the human eye. This work accepts the retinal images from the DRIVE and VARIA datasets and the images are pre-processed. The geometrical and textural features are then extracted from the retinal images to build the feature vector. The feature vectors are stored in the database. In the testing phase, the retinal image is collected from the user and the same processes such as image pre-processing, feature extraction are performed and the feature vector is built. This feature vector is compared against the feature vector in the database by means of the similarity measure. The user is given access when a perfect match is encountered.

Keywords: Biometrics, retina, user recognition.

References: 1. Hassan, G., El-Bendary, N., Hassanien, A. E., Fahmy, A., & Snasel, V. (2015). Retinal blood vessel segmentation approach based on mathematical morphology. Procedia Computer Science, 65, 612-622. 2. Roychowdhury, S., Koozekanani, D. D., & Parhi, K. K. (2015). Blood vessel segmentation of fundus images by major vessel extraction and subimage classification. IEEE journal of biomedical and health informatics, 19(3), 1118-1128. 3. Marín, D., Aquino, A., Gegúndez-Arias, M. E., & Bravo, J. M. (2011). A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features. IEEE transactions on medical imaging, 30(1), 146. 4. Li, Q., You, J., & Zhang, D. (2012). Vessel segmentation and width estimation in retinal images using multiscale production of 61. matched filter responses. Expert Systems with Applications, 39(9), 7600-7610. 5. Wang, S., Yin, Y., Cao, G., Wei, B., Zheng, Y., & Yang, G. (2015). Hierarchical retinal blood vessel segmentation based on feature and 344-353 ensemble learning. Neurocomputing, 149, 708-717. 6. Fraz, M. M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A. R., Owen, C. G., & Barman, S. A. (2012). An ensemble classification-based approach applied to retinal blood vessel segmentation. IEEE Transactions on Biomedical Engineering, 59(9), 2538- 2548. 7. Siva Sundhara Raja, D., & Vasuki, S. (2015). Automatic detection of blood vessels in retinal images for diabetic retinopathy diagnosis. Computational and mathematical methods in medicine, 2015. 8. Hou, Y. (2014). Automatic segmentation of retinal blood vessels based on improved multiscale line detection. Journal of Computing Science and Engineering, 8(2), 119-128. 9. Xu, L., & Luo, S. (2010). A novel method for blood vessel detection from retinal images. Biomedical engineering online, 9(1), 14. 10. Staal, J., Abràmoff, M. D., Niemeijer, M., Viergever, M. A., & Van Ginneken, B. (2004). Ridge-based vessel segmentation in color images of the retina. IEEE transactions on medical imaging, 23(4), 501-509. 11. Dash, J., & Bhoi, N. (2018, January). Retinal blood vessel segmentation using Otsu thresholding with principal component analysis. In 2018 2nd International Conference on Inventive Systems and Control (ICISC) (pp. 933-937). IEEE. 12. Budai, A., Michelson, G., & Hornegger, J. (2010, March). Multiscale Blood Vessel Segmentation in Retinal Fundus Images. In Bildverarbeitung für die Medizin (pp. 261-265). 13. Kaba, D., Salazar-Gonzalez, A. G., Li, Y., Liu, X., & Serag, A. (2013, March). Segmentation of retinal blood vessels using gaussian mixture models and expectation maximisation. In International Conference on Health Information Science (pp. 105-112). Springer, Berlin, Heidelberg. 14. Wang, S., Yin, Y., Cao, G., Wei, B., Zheng, Y., & Yang, G. (2015). Hierarchical retinal blood vessel segmentation based on feature and ensemble learning. Neurocomputing, 149, 708-717. 15. Manikis, G. C., Sakkalis, V., Zabulis, X., Karamaounas, P., Triantafyllou, A., Douma, S., ... & Marias, K. (2011, November). An image analysis framework for the early assessment of hypertensive retinopathy signs. In E-Health and Bioengineering Conference (EHB), 2011 (pp. 1-6). IEEE. 16. Salazar-Gonzalez, A. G., Kaba, D., Li, Y., & Liu, X. (2014). Segmentation of the blood vessels and optic disk in retinal images. IEEE J. Biomedical and Health Informatics, 18(6), 1874-1886. 17. Chrástek, R., Wolf, M., Donath, K., Michelson, G., & Niemann, H. (2002). Optic disc segmentation in retinal images. In Bildverarbeitung für die Medizin 2002 (pp. 263-266). Springer, Berlin, Heidelberg. 18. Lowell, J., Hunter, A., Steel, D., Basu, A., Ryder, R., & Kennedy, R. L. (2004). Measurement of retinal vessel widths from fundus images based on 2-D modeling. IEEE transactions on medical imaging, 23(10), 1196-1204. 19. Welfer, D., Scharcanski, J., Kitamura, C. M., Dal Pizzol, M. M., Ludwig, L. W., & Marinho, D. R. (2010). Segmentation of the optic disk in color eye fundus images using an adaptive morphological approach. Computers in Biology and Medicine, 40(2), 124-137. 20. Bhuiyan, A., Hussain, A., Mian, A., Wong, T. Y., Ramamohanarao, K., & Kanagasingam, Y. (2016). Biometric authentication system using retinal vessel pattern and geometric hashing. IET Biometrics, 6(2), 79-88. 21. Hussain, A., Bhuiyan, A., Mian, A., & Ramamohanarao, K. (2013, November). Biometric security application for person authentication using retinal vessel feature. In Digital Image Computing: Techniques and Applications (DICTA), 2013 International Conference on (pp. 1-8). IEEE. 22. Meng, X., Yin, Y., Yang, G., & Xi, X. (2013). Retinal identification based on an improved circular gabor filter and scale invariant feature transform. Sensors, 13(7), 9248-9266.

Authors: P.Ajitha, A. Sivasangari, K.Indira Paper Title: Predictive Inter and Intra Parking System Abstract: Time has become a rare commodity and often takes the back seat in reality. Everyone in life need to park some time for their well being but there are trying times, where they spend their prime time for parking. In crowded cities in specific places like Mumbai, Delhi, Kolkata, Chennai and in other Asian cities this is magnified to many fold. Conventional technologies involved lot of Manual overhead and upcoming IOT based technologies are coming good on this aspect. Typical time spent on looking for parking space averages out to be 5.9 minutes, totaling to 90.5 hours in other words four days lost over the year. Anything done to improve on this front would make a huge difference to the human community.

Keywords: Sensor, Analytical Engine. Processor, Report Tool.

References: 1. Rico, J., Sancho, J., Cendon, B., & Camus, M. (2013, March). Parking easier by using context information of a smart city: Enabling fast search and management of parking resources. In Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on (pp. 1380-1385). IEEE. 2. Zheng, Y., Rajasegarar, S., & Leckie, C. (2015, April). Parking availability prediction for sensor-enabled car parks in smart cities. In Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015 IEEE Tenth International Conference on (pp. 1-6). IEEE. 62. 3. Zhou, F., & Li, Q. (2014, November). Parking Guidance System Based on ZigBee and Geomagnetic Sensor Technology. In Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2014 13th International Symposium on (pp. 268-271). 354-357 IEEE. 4. Botta, A., de Donato, W., Persico, V., & Pescapé, A. (2014, August). On the Integration of Cloud Computing and Internet of Things. In Future Internet of Things and Cloud (FiCloud), 2014 International Conference on (pp. 23-30). IEEE. 5. Ji, Z., Ganchev, I., O'droma, M., & Zhang, X. (2014, August). A cloudbased intelligent car parking services for smart cities. In General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI (pp. 1-4). IEEE. 6. Y. Geng and C. G. Cassandras, ‘‘A new ‘smart parking’ system based on optimal resource allocation and reservations,’’ in Proc. 14th Int. IEEE Conf. Intell. Transp. Syst. (ITSC), Oct. 2011, pp. 979–984. 7. Y. Geng and C. G. Cassandras, ‘‘New ‘smart parking’ system based on resource allocation and reservations,’’ IEEE Trans. Intell. Transp. Syst., vol. 14, no. 3, pp. 1129–1139, Sep. 2013. 8. X. Zhao, K. Zhao, and F. Hai, ‘‘An algorithm of parking planning for smart parking system,’’ in Proc. 11th World Congr. Intell. Control Autom. (WCICA), 2014, pp. 4965–4969. 9. Zaslavsky, A., Perera, C., & Georgakopoulos, D. (2013). Sensing as a service and big data. arXiv preprint arXiv:1301.0159. 10. Doukas, C., Capra, L., Antonelli, F., Jaupaj, E., Tamilin, A., & Carreras, I. (2015, January). Providing generic support for IoT and M2M for mobile devices. In Computing & Communication TechnologiesResearch, Innovation, and Vision for the Future (RIVF), 2015 IEEE RIVF International Conference on (pp. 192-197). IEEE. 11. P. Trusiewicz and J. Legierski, “Parking reservation—Application dedicated for car users based on telecommunications APIs,” in Proc. FedCSIS, Sep. 2013, pp. 865–869. 12. K. Inaba, M. Shibui, T. Naganawa, M. Ogiwara, and N. Yoshikai, “Intelligent parking reservation service on the internet,” in Proc. Symp. Appl. Internet Workshops, 2001, pp. 159–164. 13. H. Wang and W. He, “A reservation-based smart parking system,” in Proc. IEEE INFOCOM WKSHPS, Apr. 2011, pp. 690–695.

Authors: S.V.Karthiga An Empirical Study on Mobile Technology to Augment English Vocabulary of Computer Science Paper Title: Students Abstract: The study is empirical which is based on ‘Mobile technology to augment Englishvocabulary of the computer science students’ vocabulary is referred to the progress towardslearners’ communicative proficiency in English. The base for learning or acquiring alanguage is vocabulary. A student can master a language only when he builds his lexis andthis can be made uncomplicated by using the modern technology i.e. mobile phone. Theultimate seek of the study is to eliminate the anxiety of the students towards English and thiscan be made possible by using a mobile phone which everyone is acquainted in the presentscenario. This is moving from identified to unidentified. The students will grasp the wordseasily by using mobile phones in the classroom and 63. this will pave way to involve them inlearning English with interest. A strong base can be given to the students by enhancing theirvocabulary. The purpose of this study is to make the students to acquire vocabulary thanlearning 358-360 vocabulary. By this the learners will be attentive in when and how to use the wordsappropriately and to respond in English without any uncertainty by comprehendinginstantaneously. Activities are given by using mobile phones to improve their vocabularylevel. Students, whose medium of instruction was not English, fail to grasp the vocabularyused during lectures in the class or among their friends. Most of the students hail fromschools in which their medium of instruction is not English and are also first generationlearners and it leads as a failure in their life when English is given importance in thiscompetitive world. Getting a job should not become difficult because a student is not able tocomprehend the words. The present study, therefore, gains social vitality as it providesenough insight on vocabulary enhancement. The combination of mobile phone [updatedtechnology] can effectively facilitate the learners to build their vocabulary at faster phase.The amalgamation of mobile phone will create an interesting ambiance in classroom fordeveloping vocabulary among the learners.

Keywords: Mobile phones, English vocabulary, learning, Computer science students.

References: 1. Al-Jarf, R..Mobile technology and student autonomy in oral skill acquisition. In J. Díaz-Vera (Ed.), Left to my own devices: Learner autonomy and mobile-assisted language learning innovation and leadership in English language teaching (pp. 105–130). Bingley, UK: Emerald Group. 2012. Retrievable from http://dx.doi.org. 2. Aubusson, P., Schuck, S. & Burden, K. Mobile learning for teaching professional learning: Benefits, obstacles and issues. ALT- J,Research in Learning Technology, 17(3), 233-247.2009. Print. 3. Carlberg, Conrad George. Statistical Analysis: Microsoft Excel 2010. Indianapolis, IN: Que. 2011. Print. 4. Chinnery, G. M. Going to the MALL: Mobile assisted language learning. Language Learning & Technology, 10(1), 9– 16.2006.Retrieved from 5. Chen, C-M., & Li, Y-L.Personalized context-aware ubiquitous learning system for supporting effective English vocabulary learning. Interactive Learning Environments, 18(4), 341–364. 2010. Print. 6. Davies, N. L. Learning- The beat goes on. Childhood Education, 148-153.2000. Print. 7. Fotouhi-Ghazvini, F., Earnshaw, R., & Haji-Esmaeili, L. Mobile assisted language learning in a developing country context. International Conference on CyberWorlds(pp. 391–397).2009. Retrievable from http://www.computer.org 8. Trinder, J. Mobile technologies and systems. In A. Kukulska-Hulme & J. Traxler (Eds.), Mobile learning: A handbook for educators and trainers (pp. 7-24). London: Routledge.2005. Print.

Authors: Anita Patil, Rajashree.V.Biradar Paper Title: Programming the Sensor Nodes in WSN Abstract: The present technological era is replacing both physically and logically draining hard-works of the human beings by computerized technologies like Wireless Sensor Network (WSN) and IOT. WSN, being the basis for IoT, share the same set of Operating systems (OSs) with IOT. The numerous sensor nodes that are deployed in the application areas such as wild life study, under water study etc could not be attended by the human beings, so they need well-defined programming. Learning the essential programming approach is the default first step to pass through for every researcher in any research domain. This paper discusses programming concepts for WSN considering four different OSs. The first part of the paper demonstrates execution of one nesC application in detail, as the nesC programming language is the de-facto standard for TinyOS. In the second part of the paper, programming is discussed in brief for the OSs Contiki, RIOT and freeRTOS. TinyOS being a highly documented and popular OS, has the limitations of having only the FIFO scheduling mechanism. This study helps to incorporate the scheduling techniques from other OSs in to TinyOS. This paper can be viewed as an introductory manual for the beginners in WSN programming.

Keywords: Programming in WSN, Contiki OS, nesC programming language, RIOT, FreeRTOS.

References: 1. Waltenegus Dargie, Christian Poellabauer, Book, “Fundamentals of wireless sensor networks theory and practice”,2010 John Wiley & Sons Ltd. 2. PHILIP LEVIS, DAVID GAY, “TinyOS Programming book”, Intel Research © Cambridge University Press 2009, ISBN-13 978-0- 511-50730-4 eBook (EBL). 3. David Gay,Philip Levis, Robert von Behren, Welsh, M.; Brewer, E.; Culler, D, “ The nesC Language: A Holistic Approach to Networked Embedded Systems”, 2003 Conference on Programming Language Design and Implementation, New York, NY, USA, 64. May 2003. 4. Muhammad Amjad, Muhammad Sharif, Muhammad Khalil Afzal, and Sung Won,Kim, “TinyOS-New Trends, Comparative Views, and Supported Sensing Applications:A Review “, IEEE SENSORS JOURNAL, VOL.16, NO. 9, MAY 1, 2016. 361-365 5. Zhang Jing, Xue Leng, Fan Hongbo, Cui Yi, “TQS-DP: A Lightweight and Active Mechanism for Fast Scheduling Based on WSN Operating System TinyOS “,978-1-4799-7016-2/15/$31.00 2015 IEEE. 6. Anita Patil, Dr. Rajashree.V.Biradar ,” Scheduling Techniques for TinyOS: A Review “, 2016 International Conference on Computational Systems and Information Systems for Sustainable Solutions 978-1-5090-1022- 6/16/$31.00 ©2016 IEEE 7. RYO SUGIHARA and RAJESH K. GUPTA, “Programming Models for Sensor Networks: A Survey”, University of California, San Diego ACM Transactions on Sensor Networks, Vol. 4, No. 2, Article 8, Publication date: March 2008. 8. Tobias Reusing, Betreuer: Christoph Söllner,” Comparison of Operating Systems TinyOS and Contiki”, Seminar: Sensorknoten - Betrieb, Netze & Anwendungen SS2012 Network Architectures and Services, August 2012 9. Tej Bahadur Chandra, Anuj Kumar Dwivedi,” Programming Languages for Wireless Sensor Networks: A Comparative Study”,978-9- 3805-4416-8/15/$31.00_c 2015 IEEE. 10. Rudradeep Nath, “TOSSIM Based Implementation and Analysis of Collection Tree Protocol in Wireless Sensor Networks”, International conference on Communication and Signal Processing, April 3-5, 2013, India 978- 1-4673-4866-9/13/$31.00 ©2013 IEEE. 11. Zeenat Rehena, Krishanu Kumar, Sarbani Roy, “Nandini Mukherjee,SPIN Implementation in TinyOS Environment using nesC”, Second International conference on Computing, Communication and Networking Technologies, 2010. 12. Aleksandar Milinković, Stevan Milinković, Ljubomir Lazić Metropolitan University, Faculty of Information Technology Belgrade, Serbia, “Choosing the right RTOS for IoT platform”, INFOTEH-JAHORINA Vol. 14, March 2015. 13. https://github.com/contiki-os/contiki 14. http://contiki-os.org/ 15. https://en.wikipedia.org/wiki/Contiki 16. https://www.riot-os.org/, 17. https://en.wikipedia.org/wiki/RIOT(operating system) 18. https://github.com/RIOT-OS/RIOT 19. https://www.freertos.org 20. https://en.wikipedia.org/wiki/FreeRTOS 21. https://www.iot-lab.info/operating-systems/

Authors: L. Natrayan, V. Sivaprakash, MS. Santhosh 65. Paper Title: Mechanical, Microstructure and wear behavior of the material AA6061 reinforced SiC with different leaf ashes using advanced stir casting method Abstract: In current scenario aluminium and their alloys exchanged by composite materials in the field of automobile because of fewer corrosiveness and less weight. The present work represent as AA6061 used as matrix material, SiC and various leaf ashes (bamboo leaf, neem leaf and tamarind ashes) used as reinforcement. Advance bottom pouring stir casting machine has used to develop the composites. Vickers hardness testing method used to calculate the hardness of composite samples. Finally, the mechanical and tribological properties of the composites were evaluated, and their relation to the corresponding microstructure and wear worn surface of the composites was discussed.

Keywords: Al6061, microstructure, SiC, stir casting, bamboo leaf ash, neem leaf ash, tamarind leaf ash, density, hardness, wear, worn surface.

References: 1. L. Natrayan and M. Senthil Kumar. Study on Squeeze Casting of Aluminum Matrix Composites-A Review. Advanced Manufacturing and Materials Science, Springer, Cham, 2018. 75-83. (https://doi.org/10.1007/978-3-319-76276-0_8.) 2. S.Yogeshwaran, R.Prabhu, Natrayan.L, Mechanical Properties of Leaf Ashes Reinforced Aluminum Alloy Metal Matrix Composites, International Journal of Applied Engineering Research, ISSN 0973-4562 Volume 10, Number 13, 2015. 3. K.K. Alaneme, and E. O. Adewuyi. Mechanical behaviour of Al-Mg-Si matrix composites reinforced with alumina and bamboo leaf ash. Metallurgical and materials engineering, 19.3 (2013): 177-188. 4. L.Natrayan et al. Optimization of squeeze cast process parameters on mechanical properties of Al2O3/SiC reinforced hybrid metal matrix composites using taguchi technique. Mater. Res. Express; 5: 066516. (DOI: 10.1088/2053-1591/aac873,2018) 5. M. S. Santhosh, R. Sasikumar, L. Natrayan, M. Senthil Kumar, V. Elango and M. Vanmathi. (2018). Investigation of mechanical and electrical properties of kevlar/E-glass and basalt/E-glass reinforced hybrid Composites. . Inter J Mech Prod Engi Res Develop., 8(3): 366-371 591-598. 6. K.K. Alaneme, B. O. Ademilua, and M. O. Bodunrin. Mechanical properties and corrosion behaviour of aluminium hybrid composites reinforced with silicon carbide and bamboo leaf ash. Tribology in Industry, 35.1 (2013): 25-35. 7. M. Senthil Kumar et. al, Experimental investigations on mechanical and microstructural properties of Al2O3/SiC reinforced hybrid metal matrix composite, IOP Conference Series: Materials Science and Engineering, Volume 402, Number 1, PP 012123. (https://doi.org/10.1088/1757-899X/402/1/012123) 8. L.Natrayan et al. An experimental investigation on mechanical behaviour of SiCp reinforced Al 6061 MMC using squeeze casting process. Inter J Mech Prod Engi Res Develop., 7(6):663–668, 2017. 9. M.O. Bodunrin et al. Porosity measurement and wear performance of aluminium hybrid composites reinforced with silica sand and bamboo leaf ash. Annals of the Faculty of Engineering Hunedoara-International Journal of Engineering, 14.1 (2016). 10. Hemanth RD., M. Senthil kumar, Ajith gopinath and Natrayan.L, Evaluation of mechanical properties of E-Glass and Coconut fiber reinforced with polyester and Epoxy resin matrices, International Journal of Mechanical and Production Engineering Research and Development (IJMPERD), 2017, 7(5), 13-20. 11. B. Praveen Kumar, and Anil Kumar Birru. Microstructure and mechanical properties of aluminium metal matrix composites with addition of bamboo leaf ash by stir casting method. Transactions of Nonferrous Metals Society of China, 27.12 (2017): 2555-2572. 12. P.Sakthi Shunmuga Sundaram , N.Hari Basker , L.Natrayan. Smart Clothes with Bio-sensors for ECG Monitoring, International Journal of Innovative Technology and Exploring Engineering, Volume 8, Issue 4, 2019, Pages 298-301. 13. Jaswinder Singh and Amit Chauhan. "Fabrication characteristics and tensile strength of novel Al2024/SiC/red mud composites processed via stir casting route." Transactions of Nonferrous Metals Society of China, 27.12 (2017): 2573-2586. 14. I.Y.Suleiman, A. Salihu Sani, and T. A. Mohammed. Investigation of mechanical, microstructure, and wear behaviors of Al-12% Si/reinforced with melon shell ash particulates. The International Journal of Advanced Manufacturing Technology, 97.9-12 (2018): 4137-4144.

Authors: D. Narendar Singh, M. Kusuma Sri, K. Mounika Paper Title: IOT Based Automated Attendance with Face Recognition System Abstract: Our Paper involves the student attendance and faculty attendance. The student attendance is marked by face recognition. For face detection and face recognition the raspberry pi. If the camera is connected to Raspberry pi USB port then only images will capture of the students who are available in the class for face detection. The captured images recognises with stored images then in that images we will recognize the faces of every student and according to that attendance will be given to that subject class. This process is carried out for every class and students are given attendance accordingly. Faculty attendance is monitored with this project. A unique RFID card is given to the faculty, when faculty enters the classroom swipes the RFID card attendance will be marked with date and time. ESP8266 is used along with OLED to display the faculty attendance. We can mark the attendance at any time without any human Intervention.

Keywords: Student Attendance, Raspberry Pi, Camera, Face Detection, Face Recognition, Image Processing, Open CV, Python, Faculty Attendance, ESP8266, OLED. 66.

References: 372-377 1. Mahesh Sutar, Mahesh Patil , Sachin Waghmare, “Smart Attendance System Using RFID In IOT”, International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) 2. T. Lim, S. Sim, and M. Mansor,” RFID based attendance system ”, in Industrial Electronics and Applications, 2009. ISIEA 2009. IEEE Symposium on, vol. 2. IEEE, 2009, pp. 778782. 3. Raspberry Pi details www.raspberrypi.org/ 4. Raspberry Pi Camera Module www.raspberrypi.org/products/camera-module 5. Facial Recognition: OpenCV On The Camera Board. www.raspberrypi.org/blog/facial- recognitionopencv-on-the-camera-board/ 6. Haar Cascades, http://alereimondo.no-ip.org/OpenCV/34 7. Degtyarev, Nikolay, and Oleg Seredin, ”Comparative testing of face detection algorithms”, Image and Signal Processing. Springer Berlin Heidelberg 2010. 200-209. 8. Viola, Paul, and Michael J. Jones, “ Robust real-time face detection ”, International journal of computer vision 57.2 (2004):137-154. 9. Menezes, P., Barreto, J.C. and Dias, J. Face tracking based on Haar-like features and eigenfaces. 5th IFAC Symposium on Intelligent Autonomous Vehicles, Lisbon, Portugal, July 5-7, 2004. 10. Beymer, D. and Poggio, T. (1995) Face Recognition From One Example View, A.I. Memo No. 1536, C.B.C.L. Paper No. 121. MIT

Authors: Deepakfranklin P, Krishnamoorthi M, Kalamani M Paper Title: Contact and Non-Contact methods of Photo Plethysmography Abstract: Today there are several equipment to measure various physiological parameters of human, some of them are compact and most of them are huge. In order to monitor a person’s health properly it is not adequate to measure the physiological parameter in laboratory alone, it has to be in regular basis for a considerable duration. One of the most preferred and desirable technique is photo plethysmography (PPG). Plethysmography is a volumetric measurement of organ. In PPG the signal recorded is obtained by the information carried by the light that is either reflected or passes through the veins, the light intensity may vary depending on the blood volume. It is a non-invasive method and gives information on cardiac vascular system. This survey specially focuses on various parameters that can be derived from PPG, methods to detect these parameters from PPG and possible techniques used to measure PPG. Discussion will also throw some light on difficulties, disadvantages and future enhancements that are in photo plethysmography. A vast collection of sample data is necessary to give a result on the parameters obtained from PPG which are provided by various websites.

Keywords: photo plethysmography, blood volume, physiological parameters, infrared light, artery, cardiac vascular system, ambient light.

References: 1. John Allen, “Photoplethysmography and its application in clinical physiological measurement,” Physiological Measurement, vol 28, pp.R1-R39, Feb 2007. 2. Tomas Ysehak Abay, and Panayiotis A. Kyriacou, “Reflectance Photoplethysmography as Noninvasive Monitoring of Tissue Blood Perfusion,”IEEE Transactions on Biomedical Engineering, vol. 62, Issue no. 9, Sep 2015. 3. D. Bessems, M. Rutten, and F. V. D. Vsse, “A wave propagation model of blood flow in large vessels using an approximate velocity profile function,” J. Fluid Mech., vol. 580, pp. 145–168, Jun. 2007. 4. Lukas Peter, Ivo Vorek, Bertrand Massot, Iveta Bryjova, Tomas Urbanczyk, “Determination of Blood Vessels Expandibility; Multichannel Photoplethysmography,” International Federation of Automatic Control, vol. 49, Issue no. 25, pp 284-288, 2016. 5. AdibKeikhosravi, Edmond Zahedi, Hamid Movahedian Attar, and HalehAghajani, “Experimental Investigation of the Roles of Blood Volumeand Density in Finger Photoplethysmography,” IEEE Sensors Journal, vol. 13, Issue no. 5, May 2013 . 6. Pei-Yu Chiang, Paul C.-P. Chao, Senior Member, IEEE, Der-Cherng Tarng, and Chih-Yu Yang., “A Novel Wireless Photo Plethysmography Blood-Flow Volume Sensor for Assessing Arteriovenous Fistula of Hemodialysis Patients,” IEEE Transactions on Industrial Electronics, vol. 64, pp. 9626-9635, Dec. 2017. 7. M.A. Hassan, A.S.Malik, D.Fofi, N.Saad, B.Karasfi, Y.S.Ali, F.Meriaudeau, “Heart rate estimation using facial video: A review,” Biomedical signal Processing and Control, vol. 38, pp. 346-360, Jul 2017. 8. P. Shi et al., “Development of a remote photoplenthysmographic technique for human biometrics,” Proc. SPIE, vol. 7170, pp. 717006-1 -717006-8, 2009. 9. Yu Sun∗, Member, IEEE, and Nitish Thakor, “Photo plethysmography Revisited: From Contact to Noncontact, From Point to Imaging,” IEEE Transactions on Biomedical Engineering, vol. 63, pp. 463-477, MARCH 2016. 67. 10. T. Tamura et al., “Wearable photo plethysmographic sensors past and present,” Electronics, vol. 3, no. 2, pp. 282–302, 2014. 11. AAlzahrani, Sijung Hu and V.Azorin-Peris “ A Comparative Study of Physiological Monitoring with a Wearable Opto-Electronic Patch Sensor(O2.EPS) for Motion Reduction,”Biosensors 2015, 5, 288-307. 378-383 12. Musabbir Khan, Christopher G.Pretty, Alexander C. Amies, Rodney Elliott, Geoffrey M. Shaw, J.Geoffrey Chase, “Investigating the Effects of Temperature on Photo Plethysmography,” International Federation of Automatic Control, vol. 48, Issue 20, pp. 360-365, 2015. 13. Mohammad Alhawari, Nadya A. Albelooshi, and Michael H. Perrott,“A0.5V, 4 W CMOS Light-to-DigitalConverter Based on a NonuniformQuantizer for a Photo plethysmographic Heart-Rate Sensor,”IEEE Journal of Solid-State Circuits, vol. 49, Issue no. 1,pp.271-288, Jan 2014. 14. Andrius Sološenko, Andrius Petrėnas, and VaidotasMarozas, Member, IEEE, “Photo plethysmography-Based Method for Automatic Detection of Premature Ventricular Contractions,”IEEE Transactions On Biomedical Circuits And Systems, vol 9, Issue No.5, pp 662- 669, Oct 2015. 15. A. Buchset al., “Right-left correlation of the sympathetically induced fluctuations of photoplethysmographic signal in diabetic and nondiabetic subjects,” Med. Biol. Eng. Comput., vol. 43, no. 2, pp. 252–257, 2005. 16. R. Erts et al., “Bilateral photo plethysmography studies of the leg arterialstenosis,” Physiol. Meas., vol. 26, no. 5, pp. 865–874, 2005. 17. RodionStepanov, Sergey Podtaev, Peter Frick, Andrey Dumler“Beat-to-beat cardiovascular hemodynamic parameters based on wavelet spectrogram of impedance data,”Biomedical Signal Processing and Control, vol. 36, pp. 50-56, Mar 2017. 18. NinaSviridovaa,KenshiSakai, “Human photo plethysmogram: new insight into chaotic characteristics,” Chaos, Solitons and Fractals Nonlinear Science and Nonequilibrium and Complex Phenomena, vol 77, pp. 53-63, 2015. 19. Dae-Geun Jang, Seung-Hun Park, and Minsoo Hahn, “Enhancing th ePulse Contour Analysis-Based Arterial Stiffness Estimation Using a Novel Photo plethysmographic Parameter,” IEEE Journal of Biomedical and Health Informatics, vol. 19, Issue no. 1, January 2015. 20. M. J. Gregoski et al., “Development and validation of a smart phone heart rate acquisition application for health promotion and wellness telehealth applications,” Int. J. Telemed. Appl., vol. 2012, pp. 1–7, 2012. 21. Mohammad Tariqul Islam, IshmanZabir, Sk. Tanvir Ahamed, Md. TahmidYasar, Celia Shahnaz, Shaikh Anowarul Fattah, “A time- frequency domain approach of heart rate estimation from photo plethysmographic (PPG) signal,” Biomedical Signal Processing and Control, vol. 36, pp. 146-154, Mar 2017. 22. Haneen Njoum, Panayiotis A Kyriacou, “In vitro validation of measurement of volume elastic modulus using photo plethysmography,”Medical Engineering and Physics, vol. 000, pp. 1-12, Nov 2017. 23. Vahid Reza NaÞsi , Mina Shahabi, “Intradialytic Hypotension Related Episodes Identification based on the Most Effective Features of Photoplethysmography Signal,”Computer Methods and Programs in Biomedicine, Dec 2017. 24. XiaorongZhanga, Quan Ding, “Respiratory rate estimation from the photoplethysmogram via jointsparse signal reconstruction and spectra fusion,”Biomedical Signal Processing and Control, vol. 35, pp. 1-7, Feb 2017. 25. Yue-Der Lin,Ya-Hsueh Chien, Yi-Sheng Chen, “Wavelet-based embedded algorithm for respiratory rate estimation from PPG signal,” Biomedical Signal Processing and Control, vol. 36, pp. 138-145, Mar 2017. 26. 26. Rajarshi Gupta, “Lossless Compression Technique for Real-Time Photo plethysmographic Measurements,” IEEE Transactions On Instrumentation and Measurement, vol 64, Issue no. 4, Apr 2015. 27. G. Cenniniet al., “Heart rate monitoring via remote photo plethysmography with motion artifacts reduction,” Opt. Exp., vol. 18, no. 5, pp. 4867–4875, 2010. 28. He Liu, Yadong Wang, And Lei Wang, “The Effect of Light Conditions on Photo plethysmographic Image Acquisition Using a Commercial Camera,”IEEE Journal of Translational Engineering in Health and Medicine, vol. 2, Oct 2014. 29. Y. Sun et al., “Use of ambient light in remote photo plenthysmographic systems: Comparison between a high-performance camera and a low-cost webcam,” J. Biomed. Opt., vol. 17, no. 3, pp. 37005-1–37005-10, 2012. 30. 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Authors: R. Deepa, S. Lakshmipriya Paper Title: Theft Detection System in Shops 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 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 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. 68. Keywords: IoT (Internet of Things), IR sensor, Raspberry Pi, USB, IoT Web shield. 384-387

References: 1. Safa. H, Priyanka .N, Vikkashini Priya .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. Umera Anjum , 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. Tuhin Borgohain, Uday Kumar, Sugata Sanyal, “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. Pallavi Sethi, 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. Sandesh Kulkarni, Minakshee B, Akanksha Dukare, Archana Gaikwad, “ Face Recognition using IoT”, International Journal of Innovations and Advancement in Computer Science, Vol.7, Issue.3, March 2018.

Authors: K.Anusha Paper Title: Design Techniques for Compact Microstrip Antennas Abstract: Microstrip patch antenna are extensively deployed in presenteras in applications relating to wireless communication and Telemedicine. Patch antennas are replacing the conventional antennas in many applications, these advancements necessitate Microstrip patch antenna design that can incorporate wide range of specifications. The design of multiband antenna places constrains on the geometrical dimension and antenna parameters specifications of gain and efficiency. To integrate the specifications various design methodologies 69. have been employed. Variations in geometry, inclusion of slots, switching devices, FSS, EBG or PBG structures and Ring resonators have a huge impact on the performance of the antenna. This paper provides a comprehensive 388-390 review of the design practices employed in a microstrip Patch antenna.

Keywords: Microstrip Antenna, Slots, EBG, PBG, DGS.

References: 1. S. Sinan Gultekin, DilekUzer, Rabia Top, EmrahUgurluandozgurDundar, "A Comparison of Different Patch Geometry Effects on Bandwidth”, IJAMEC, 2016, 4(Special Issue), 421–423. 2. UmutOzkayaa, and LeventSeyfia, “Dimension Optimization of Microstrip Patch Antenna in X/Ku Band via Artificial Neural Network” Procedia - Social and Behavioral Sciences 195 (2015) 2520 – 2526. 3. E.Sivakumar, Srinivasa Rao O, A.V.M.Manikandan " Bandwidth enhancement of rectangular microstrip patch antenna using slots" IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) Volume 6, Issue 1 (May. - Jun. 2013), 07-10. 4. A. Munir, G. Petrus and H. Nusantara, "Multiple slots technique for bandwidth enhancement of microstrip rectangular patch antenna" ,2013 International Conference on QiR, Yogyakarta, 2013, 150-154. 5. A. Amsaveni and K. Anusha "A circularly polarized triangular slot reconfigurable antenna for wireless applications “, International Journal of Pure and Applied Mathematics Volume 116 No. 11 2017, 81-89 6. Sabah, Anwer and Hamidon, Mohd Nizar & Ismail, Alyani& R H Alhawari, Adam, “Gain Enhancement of a Microstrip Patch Antenna Using a Reflecting Layer" . International Journal of Antennas and Propagation, 2015. 7. Azarbar, Ali and Ghalibafan, Javad. ,“A Compact Low-Permittivity Dual-Layer EBG Structure for Mutual Coupling Reduction”, International Journal of Antennas and Propagation. 2011. 8. Weng LH, Guo YC, Shi XW, Chen XQ, “An Overview on Defected Ground Structure”, Progress in Electromagnetics Research B. 2008; 7:173–189 9. Arya AK, Patnaik A, Machavaram K. “Defected Ground Structure in the perspective of Microstrip Antennas a Review”. 2010; 64 (5- 6):78–84. 10. Ahmed, Mamun, NasimulHyder, MarufBhuyan and MasoudKhazaee. “Design and Simulation of an Improved Bandwidth V-Slotted Patch Antenna for IEEE 802.16 (Wimax).” American Journal of Engineering Research (AJER), (2017). 11. H. F. AbuTarboush, H. S. Al-Raweshidy and R. Nilavalan, "Bandwidth enhancement for small patch antenna using PBG structure for different wireless applications," 2009 IEEE International Workshop on Antenna Technology, Santa Monica, CA, 2009, 1-4 12. Dwivedi, S., "Design of Wideband PBG Antenna for New Generation Communication Systems through Simulation.” Open Journal of Antennas and Propagation, 5, 169-179 13. A. Amsaveni, “Antennas and Wave Propagation”. Anuradha Publications, Chennai, 2015. 14. A. RegiSaral, 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: C.Sasikumar, S. Jaganthan, R.Prakasam Paper Title: Smart Grid Structure – India and Germany Abstract: The smart grid is modernization system for traditional electric distribution system, smart grid is a novel solution of future infrastructure. It is used to monitor, protect and auto optimize the electric operations from high voltage network to distributed system. The smart grid is a combination of information and communication technologies, distribution and transmission system. The existing traditional grids are under pressure and faced diversified issues. There are many differences between traditional and smart grids such as two way operations instead of one way operations, self-monitoring capabilities, cyber secure communication, computational intelligence, safe, cost-effective environment. Number of literature discussed the positive features of smart grid for power systems In this paper discussed about the review about structure of Grid through the different perspective like cultures, economics and technologies require individual adoption of existing Smart Grid structures in India and Germany.

Keywords: Smart Grid; Structures; NIST, Smart Grid Architectural Model.

References: 1. P. Thirumoorthi, K. Premalatha, Intelligent Controller Based Dynamic SAG Compensator, International Journal of Pure and Applied Mathematics (IJPAM), Volume 117, No. 8, 2017, pp.79-82. 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, No.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), 116(11), pp. 111-119, 2017. 4. Security in Critical Infrastructures Today, Proceedings of International ETG-Congress 2013; Symposium 1 (2013). Place of publication not identified: publisher not identified. Online verfügbarunter. 5. Bayindir, Ramazan; Hossain, Eklas; Vadi, Seyfettin (2016): The path of the smart grid -the new and improved power grid. In: 2016 70. International Smart Grid Workshop and Certificate Program (ISGWCP). Mar 21-25, 2016, Istanbul, Turkey. 2016 International Smart Grid Workshop and Certificate Program (ISGWCP). Istanbul, Turkey. ISGWCP; International Smart Grid Workshop and Certificate 391-393 Program. [Piscataway, NJ], [Piscataway, NJ]: IEEE, S. 1–8. 6. EnergietechnischeGesellschaft; Internationaler ETG-Kongress (2013): German Smart Metering and European Privacy Needs. Energieversorgung auf demWegnach2050 ;Beiträge des Internationalen ETG-Kongressesvom 5. - 6. November 2013 in Berlin. Berlin: VDE-Verl. (ETG-Fachbericht, 139). 7. Fang, Xi; Misra, Satyajayant; Xue, Guoliang; Yang, Dejun (2012): Smart Grid — The New and Improved Power Grid. A Survey. In: IEEE Commun. Surv. Tutorials 14 (4), S. 944–980. DOI: 10.1109/SURV.2011.101911.00087. 8. IEEE India International Conference on Power Electronics; Institute of Electrical and Electronics Engineers; Thapar University; India International Conference on Power Electronics; IICPE (2016): 7th IEEE India International Conference on Power Electronics. IICPE 2016: November 17-19, 2016. 2016 7th India International Conference on Power Electronics (IICPE). Patiala, India. Piscataway, NJ: IEEE 9. Guoli-Taiwan-Keji-Daxue; IGBSG (2014): The 1st International Conference on Intelligent Green Building and Smart Grid (IGBSG 2014). April 23-25, 2014. UnterMitarbeit von San-Liang Lee.2014 International Conference on Intelligent Green Building and Smart Grid (IGBSG). Taipei, Taiwan. Piscataway, NJ: IEEE. 10. ISGWCP; International Smart Grid Workshop and Certificate Program (2016): 2016 International Smart Grid Workshop and Certificate Program (ISGWCP). Mar 21-25, 2016, Istanbul, Turkey. 2016 International Smart Grid Workshop and Certificate Program (ISGWCP). Istanbul, Turkey. [Piscataway, NJ], [Piscataway, NJ]: IEEE. 11. Kumar, Deepak; Singh, Harvinder; Reshma (2016): A review on industry challenges in smart grid implementation. In: 7th IEEE India International Conference on Power Electronics. IICPE 2016: November 17-19, 2016. 2016 7th India International Conference on Power Electronics (IICPE). Patiala, India. IEEE India International Conference on Power Electronics; Institute of Electrical and Electronics Engineers; Thapar University; India International Conference on Power Electronics; IICPE. Piscataway, NJ: IEEE, S. 1–5. 12. Li, Fangxing; Qiao, Wei; Sun, Hongbin; Wan, Hui; Wang, Jianhui; Xia, Yan et al. (2010): Smart Transmission Grid. Vision and Framework. In: IEEE Trans. Smart Grid 1 (2), S. 168–177. DOI: 10.1109/TSG.2010.2053726. 13. McDaniel, Patrick; McLaughlin, Stephen (2009): Security and Privacy Challenges in the Smart Grid. In: IEEE Secur. Privacy Mag. 7 (3), S. 75–77. DOI: 10.1109/MSP.2009.76. 14. Vineetha, C. P.; Babu, C. A. (2014): Smart grid challenges, issues and solutions. In: The 1st International Conference on Intelligent Green Building and Smart Grid (IGBSG 2014). April 23-25, 2014. UnterMitarbeit von San-Liang Lee.2014 International Conference on Intelligent Green Building and Smart Grid (IGBSG). Taipei, Taiwan. International Conference on Intelligent Green Building and Smart Grid; Guoli-Taiwan-Keji-Daxue; IGBSG. Piscataway, NJ: IEEE, S. 1–4. 15. Sun Joo AHN (2015): Understanding Energy Challenges in India: IEA. 16. 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, 1959-1968. 17. The Balance: What Defines 'Developing Countries'? Onlineverfügbarunter https://www.thebalance.com/what-is-a-developing-country- 1978982, zuletztgeprüft am 06.03.2018.

Authors: S.Umamaheswari, Ramalatha Marimuthu Paper Title: Design and Fabrication of Optimizer Machine Abstract: Medicinal machines are at the heart of poultry industry. The primary goal of the project is the fabrication a tailor made automated medicine mixing machine , which is the lighter, automated to keep it simple but effective, and to provide a homogeneous mixing environment to mix the medicine in the shortest time. chickens require nutritious food for required weight gain . Along with the food , medicine for immunity is sprayed using the medicine . The machine has the capability to mix together up to six liquids. The market requires an optimized mixing machine. The mechanical, electronics and electrical aspect of the project is completed, with the design and fabrication of a suitable impeller , mixing tank , storage tank and the frame of support. suitable material was selected base on machinability, weldability and corrosion resistance. FEA analysis was conducted to determine total deformation, maximum principles stress and strain, maximum shear stress and strain. compared to the conventional models, reduced the weight, stress intensities and deformation as a result of applied load.

Keywords: PLC, MCB, CONDUCTOR, SMPS, TRANSFORMER, RELAY.

References: 71. 1. Wang Y.M., Meng Q.P., Guo Y.M., Wang Y.Z., Wang Z.L., Shan T.Z. Effect of atmospheric ammonia on growth performance and immunological response of Broiler chickens. Asian J. Anim. Vet. Adv. 2010;9:2802–806.doi:10.3923/javaa.2010.2802. 394-396 2. Olanrewaju H.A., Dozier W.A., Purswell J.L., Branton S.L., Miles D.M., Lott B.D., Pescatore A.J., Thaxton J.P. Growth performance and physiological variables for broiler chickens subjected to short-term elevated carbon dioxide concentrations. Poult. Sci. 2008;7:738– 742. doi: 10.3923/ijps.2008.738.742 3. Pereira E.M., Naas I., Garcia R. Identification of acoustic parameters for broiler welfare estimate. Eng. Agric. 2014;34:413– 421.doi:10.1590/S0100-69162014000300004. 4. BARBUT, S. (1997a) Problem of pale soft exudative meat in roiler chickens. British Poultry Science,38: 355–358. 5. Mohanty, S. &Rajendran, K. 2003. 2010 vision for Indian poultry. International Journal of Poultry Science, 2(2): 139–143 6. 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. 7. Umamaheswari, S &J.N.Swaminathan , “ Percentage of time analysis for wormhole attack using different topology”, IJPAM, Dec 2017. 8. Esakkimuthu, B Paulchamy, “A Compact Remote Monitoring System For A Three-Phase 10-Kva Energy Efficient Switchable Distribution Transformer”, International Journal of Innovations in Scientific and Engineering Research (IJISER), Vol-1, Issue-4,APR 2014/105,pp236-241. 9. Uma Maheswari.S, Vasanthanayaki.C, “Secure And Enhanced Information Encoding In Matrix Barcode”, Journal of Advanced Research in Dynamical and Control Systems, Vol. 9. Sp– 6 / 2017,pp 1926-1936. 10. MoupuriSatish Kumar Reddy, L. Devasena, “Optimal Search Agents Of Dragonfly Algorithm For Reconfiguration Of Radial Distribution System To Reduce The Distribution Losses” International Journal of Pure and Applied Mathematics, Volume 116 No. 11 2017, pp-41-49.

Authors: Kandasamy Varatharajalu, J.Ramprabu Paper Title: Wireless Irrigation System via Phone Call & SMS Abstract: In India, Agriculture is the most imperative occupation. India is the second biggest nation as far as aggregate arable land. More than 60 percent of India's property territory is arable. Today there are different types of farm irrigation systems currently in use. And they are included in the four main categories of flood, sprinkler, drip and micro irrigation. From this, the most water-aware of water system frameworks is dribble water system. The water is conveyed specifically onto the root arrangement of the plant. So 90% of farmers follow drip irrigation system to water their crops, this makes farmers need to go to their farm for a particular interval of time and switch motor and gate valves manually. As well as, the crops need fertilizers periodically. During night time, farmers might get injuries and burns due to electric shock while switching the motor. Innovation has assumed a major job in building up the rural business. The item will be conveyed from the homestead to the shopper in time when it's still crisp, so the innovation has transformed cultivating into a genuine business. This spares the agriculturist cash and time. Each rancher utilizes this innovation in their own particular manner. Some utilization 72. it to make manures, others utilize it to advertise their items, and others utilize it in production. This paper mainly based on remotely operated watering system for agricultural farms using GSM, so that farmers can do their 397-401 watering from their home itself. This paper introduces the integration of water source level with motor and gate valve (solenoid valve) switching via SMS and phone call, which help the farmers to manage the watering far away from their farm.

Keywords: GSM (Global System for Mobile communication), Solenoid valve, AT Commands, SMS (Short Message Service).

References: 1. Ayush Akhouri, Chandan Kumar, Raunak Rishabh, Rochak Bagla, “A Real Time Implementation of a GSM based Automated Control System using Drip Irrigation Methodology”,Department of Instrumentation Technology, International Journal of Scientific & Engineering Research (IJSER), May 2013, pp. 2229-5518. 2. Prachi Patil, Akshay Narkhede, Ajita Chalke, Harshali Kalaskar, Manita Rajput5, “ Real Time Automation of Agricultural Environment”, International Conference for Convergence of Technology - 2014, 978-1-4799-3759-2/14/$31.00©2014 IEEE. 3. Akshay S. Hegade, Sachin H. Jadhav, Sneha A. Jadhav, Prof. Nitin M. Gaikwad, “GSM based Automation in Agriculture”, International Research Journal of Engineering and Technology (IRJET), pp. 2395 -0056. 4. B.Prabhushankar, R.Jayavadivel, S.Saravanakumar, “Automatic Irrigation Control System for Efficient use of water resources by using Android Mobile”, International Journal of Contemporary Research in Computer Science and Technology (IJCRCST),Volume1, Issue 2 (May’2015), ISSN 2395-5325. 5. SANJUKUMAR, R.V.KRISHNAIAH, “Advanced Technique for Soil Moisture Content based Automatic Motor Pumping for Agriculture Land Purpose”, International Journal of VLSI and Embedded Systems, vol 04, Article 09149, sept 2013, ISSN 2249 – 6556. 6. Mr.P.V.Karande, Prof.Zameer Farooqui, Prof.S.R.Madkar, “Wireless Monitoring of Soil Moisture & Humidity using Zigbee in Agriculture”, International Journal of scientific research and management (IJSRM), Vol 3, Issue 2, 2015, ISSN 2321-3418. 7. Manish Sharma, Mamta Kumara and Vikas Kumar, Department of Electrical Engineering, BK Birla Institute of Engineering and Technology, “AUTOMATIC HUMIDITY MONITORING AND PUMPING SYSTEM FOR FARMERS”, International Journal of Development Research, Vol 6, Issue 04, pp.7446-7452, April 2016. 8. Aniket H. Hade, Dr. M.K. Sengupta, “Automatic control of drip irrigation system & Monitoring of soil by wireless”, IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS),Volume 7, Issue 4, pp.57-61. 9. Yunseop (James) Kim, Member, IEEE, Robert G. Evans, and William M. Iversen, “ Remote Sensing and Control of an Irrigation System using a Distributed Wireless Sensor Network”, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 57, NO.7, JULY 2008. 0018-9456/$25.00©2008IEEE. 10. Purnima, S.R.N. Reddy, PhD, “ Design of Remote Monitoring and Control System with Automatic Irrigation System using GSM- Bluetooth, International Journal of Computer Applications, Volume 47– No.12, June 2012, ISSN 0975 – 888. 11. .Kanadasmy V, sindhu P, “PIC 16F877A based Hostel Automation using Residence Energy Control System (RECOS) Design”, International Journal for Scientific Research & Development| Vol. 5, Issue 01, 2017 | ISSN (online): 2321-0613.

Authors: Senthil Jayave, Arpit Rathore, Jayakumar Sadhasivam Paper Title: Stock Prediction using Machine-Learning Algorithms Abstract: The stock market is now days becomes very dynamic and liable to the external as well as internal factors, which can step-up or step-down the market. Nowadays it becomes important to understand the correlation between all the factors which can affect the market and so that we can achieve our primary objective. So, market trends prediction with achieving the high precision is now very necessitating by applying the machine learning algorithms to the historical data and analysing this with others factors like government policies, trending headlines, prices of the important commodities etc., which also play a very crucial role in directing the flow of the stock market and needed to keep beside while evaluating prices of the stock. Machine learning algorithm will help us to develop a model, which is going to analyze the stock prices patterns providing us a model, which is going to help us in the predicting of the stock prices. In this paper, I am comparing the two-machine learning algorithm i.e. Random forest and linear regression to create the training data model and going to test this model on the testing data set to predict the accuracy of the following algorithm’s models.

Keywords: Dataset, Random Forest, MLP, Decision Tree, Training Dataset, Testing Dataset, NSE, BSE, SVR, SVM, BPNN.

References: 1. Elliott, Larry. “The Stock Market Turmoil Was All about Good Economic News.” The-Stock-Market-Turmoil-Was-All-about-Good- Economic-News, The Gaurdian, 11 Feb. 2018, www.theguardian.com/business/2018/feb/11/the-stock-market-turmoil-was-all-about- good-economic-news. 2. “National Stock Exchange of India.” Wikipedia, Wikimedia Foundation, 14 Mar. 2018,en.wikipedia.org/wiki/National_Stock_Exchange_of_India. 3. “HDFC Bank.” Wikipedia, Wikimedia Foundation, 16 Mar. 2018, en.wikipedia.org/wiki/HDFC_Bank. 4. “Stock Share Price Housing Development Finance Corpltd | Get Quote Hdfc | BSE.” BSE Ltd, www.bseindia.com/stock-share- price/housing-development-finance-corpltd/hdfc/500010/. 73. 5. “Logistic Regression.” Wikipedia, Wikimedia Foundation, 17 Mar. 2018, en.wikipedia.org/wiki/Logistic_regression. 6. Haykin, Simon. Neural Networks. 2nd ed., vol. 1 1, Prentice Hall, 1998. 7. Akita, R., Yoshihara, A., Matsubara, T., & Uehara, K. (2016). Deep learning for stock prediction using numerical and textual 402-405 information. 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings. https://doi.org/10.1109/ICIS.2016.7550882 8. Xu, M., Lan, Y., & Jiang, D. (2016). Unsupervised Learning Part-Based Representation for Stocks Market Prediction. Proceedings - 2015 8th International Symposium on Computational Intelligence and Design, ISCID 2015, 2, 63–66. https://doi.org/10.1109/ISCID.2015.300 9. Mithani, F., Machchhar, S., & Jasdanwala, F. (2017). A modified BPN approach for stock market prediction. 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 0–3. https://doi.org/10.1109/ICCIC.2016.7919718 10. R. Choudhry and K. Garg, “A Hybrid Machine Learning System for Stock Market Forecasting,” World Acad. Sci. Eng. Technol., vol. 2, no. 15, pp. 315–318, 2008. 11. Usmani, M., Adil, S. H., Raza, K., & Ali, S. S. A. (2016). Stock market prediction using machine learning techniques. 2016 3rd International Conference on Computer and Information Sciences (ICCOINS), 322–327. https://doi.org/10.1109/ICCOINS.2016.7783235 12. Rathnayaka, R. M. K. T., Seneviratna, D. M. K. N., Jianguo, W., Arumawadu, H. I., Rathnayaka, K. T., Seneviratne, D. M. K. ., … Jianguo, W. (2015). A hybrid statistical approach for stock market forecasting based on Artificial Neural Network and ARIMA time series models. In 2015 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC) (pp. 54– 60).https://doi.org/10.1109/BESC.2015.7365958 13. Creighton, J., & Zulkernine, F. H. (2017). Towards building a hybrid model for predicting stock indexes. In 2017 IEEE International Conference on Big Data (Big Data) (pp. 4128–4133). https://doi.org/10.1109/BigData.2017.8258433 14. Park, J., Leung, H., & Ma, K. (2017). Information fusion of stock prices and sentiment in social media using Granger causality. 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017), (Mfi), 614–619. 15. Park, J., Leung, H., & Ma, K. (2017). Information fusion of stock prices and sentiment in social media using Granger causality. 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017), (Mfi), 614–619. 16. Liang, X., Liang, X., Xu, W., & Wang, X. (2015). A hybrid model for stock price based on wavelet transform and support vector machines. In 2015 12th International Conference on Service Systems and Service Management (ICSSSM) (pp. 1–7). https://doi.org/10.1109/ICSSSM.2015.7170268 17. Wichaidit, S., & Kittitornkun, S. (2016). Predicting SET50 stock prices using CARIMA (Cross Correlation ARIMA). ICSEC 2015 - 19th International Computer Science and Engineering Conference: Hybrid Cloud Computing: A New Approach for Big Data Era.https://doi.org/10.1109/ICSEC.2015.7401453 18. Zhao, L., & Wang, L. (2015). Price Trend Prediction of Stock Market Using Outlier Data Mining Algorithm. Proceedings - 2015 IEEE 5th International Conference on Big Data and Cloud Computing, BDCloud 2015, 93–98. https://doi.org/10.1109/BDCloud.2015.19 19. [19] “Yahoo Finance - Business Finance, Stock Market, Quotes, News.” Yahoo! Finance, Yahoo!, finance.yahoo.com/. 20. J. Sadhasivam and R. B. Kalivaradhan, “STUDY AND COMPARISON OF VARIOUS ALGORITHMS USED IN TWITTER FOR SENTIMENT ANALYSIS,” Int. J. Pure Appl. Math., 2018. 21. J. Sadhasivam and R. B. Kalivaradhan, “Sentiment Analysis of Amazon Products Using Ensemble Machine Learning Algorithm,” Int. J. Pure Appl. Math., 2018.

Authors: J. Priya Paper Title: Practical Aspects of Reactive Power Control in Smartgrid Abstract: Smartgrid has the advantage that if the generation capacity exceeds the maximum demand, the exess power can be fed back to the utility grid or it can be stored. Thus power flow becomes bidirectional in smartgrid. Basics of grid operations, Load-frequency control, Reactive power-voltage control, Sources of reactive power, Power system stability (Angle, Frequency, Voltage), Excerpts from technical standards and grid codes, Generator capability chart, Generator excitation system, Power system stabilizer (PSS) are the factors to be considered which influences the cost of electricity in India power market.

Keywords: Power system stabilizer (PSS), Load-frequency control, Reactive power-voltage control, Gas turbine power projects (GTPP) , Integrated gasification combined cycle (IGCC)

References: 74. 1. Microgrids: Integration for power cost and control ABB. New York; 2015, [Online]. 2. Mishra A, Irwin D, Shenoy P, Zhu T. Scaling distributed energy storage for grid peak reduction. In: Proceedings of the fourth 406-409 international conference on Future energy systems, 2013.Association for Computing Machinery, p. 3-14. 3. Pollitt MG, Davies S, Price CW, Haucap J, Mulder M, Shestalova V, et al. Vertical unbundling in the EU electricity sector. Intereconomics 2007;42:292–310. 4. Nayek P. Many PQ events result in end-user problems. Power Today; 2016, [Online]. 5. Yan X, Zhang X, Chen H, Xu Y, Tan C. Techno-economic and social analysis of energy storage for commercial buildings. Energy Convers Manag 2014;78:125–36. 6. Malinowski J, Kaderly K. Peak shaving-a method to reduce utility costs. In: Region Conference: Annual Technical and Leadership Workshop, IEEE; 2004. p. 41-4. 7. Cartes D, Ordonez J, Harrington J, Cox D, Meeker R. Novel integrated energy systems and control methods with economic analysis for integrated community based energy systems. In: Power Engineering Society General Meeting, IEEE; 2007. p. 1-6. 8. Luo X, Wang J, Dooner M, Clarke J. Overview of current development in electrical energy storage technologies and the application potential in power system op-eration. Appl Energy 2015;137:511–36. 9. Gajduk A, Todorovski M, Kocarev L. Stability of power grids: an overview. Eur Phys J Spec Top 2014;223:2387–409.

Authors: A.Renuka Prasad, Rakesh Bhandari, Donepudi.Jagadish Paper Title: Experimental Investigations on Homogeneous Charged Compression Ignition (HCCI) Engine Abstract: The Homogeneous Charge Compression Ignition technique used both Spark Ignition and Diesel Compression engines. But, most widely used in Diesel Compression engines. The Homogeneous Charge Compression Ignition (HCCI) technique, are introduced for engines, the Emissions are HC, CO, NOx and PM are reduces. And, also advantages of technology are the Combustion is increases. This paper explains the four modes of tests performing on the engine. In the first mode, Diesel engine, No Turbo charge and No HCCI. In second mode, Diesel engine, Turbo charge and No HCCI. In Third mode, Diesel engine, Turbo charge and HCCI and final testing No Diesel engine, No Turbo charge and HCCI only

Keywords: HCCI engines, Combustion, Turbo charge, Hydro Carbons and NOx.

References: 1. Seyfi Polat et.al, “Experimental Comparison of Different Injection Timings in an HCCI Engine Fueled with N-Heptane”, IJAST, no.1, pp. 1-6, 2017. 2. Saw yumon, Nyein aye san and Htaywin., “Numerical analysis of combustion process in CNG HCCI engine”, IJMPE, no.3, pp. 56-61, 2016. 3. Kaiser E.W., Yang J., Culp, T., Xu N., and Maricq, C., “Homogeneous Charge Compression Ignition Engine-out Emissions – does 75. flame propagation occur in homogeneous compression ignition?”, Int. J. of Engines Research, Vol. 3, No. 4, pp.184–295, 2003. 4. Dec, J.E., and Sjoberg, M.A., “Parametric Study of HCCI Combustion – the Sources of Emissions at Low Loads and the Effects of GDI Fuel Injection”, SAE Paper 2003-01-0752, 2003. 410-412 5. Hariharasudhan S and Sankarlal P., “A Study on Homogeneous Charge Compression Ignition (HCCI) engine with alternate fuels”, International Conference on Current Research in Engineering Science and Technology, 2016. 6. Zhao, H., Peng, Z., and Ladommatos, N., “Understanding of Controlled Auto-IgnitionCombustion in a Four-Stroke Gasoline Engine”, Proc. of Instn. Mech. Engrs, Part D., Vol. 215, pp. 1297–1310, 2001. 7. Marriott, C., and Reitz, R., “Experimental Investigation of direct injection-gasoline for premixed compression ignited combustion phasing control”, SAE 2002-01-0418, 2002. 8. P.V.Ramana et.al, “Development of Alternative fuels for HCCI Engine Technology”, IJEDR, no.3, pp-108-119, 2015. 9. Standing, R., Kalian, N., Ma, T., and Zhao, H., “Effects of injection timing and valve timings on CAI operation in a multi-cylinder DI gasoline engine”, SAE paper 2005- 01-0132, 2005. 10. Li, Y., Zhao H., Bruzos N., Ma T., and Leach B., “Effect of Injection Timing on Mixture and CAI Combustion in a GDI Engine with an Air-Assisted Injector”, SAE Paper 2006-01-0206, 2006. 11. Kalian, N., Standing, R., and Zhao, H., “Effects of Ignition Timing on CAI Combustion in a Multi-Cylinder DI Gasoline Engine”, SAE Paper 2005-01-3720, SAE 2005 Powertrain and Fluid Systems Conference, 2005. 12. Mohammad Izadi Naja fabadi and Nuraini Abdul Aziz., “Homogeneous charge compression Ignition Combustion: Challenges and proposed solutions”, J.Combustion, no.2, pp. 1-14, 2013. 13. A. Dinesh, G. Surya, and K. Bhaskar., “Experimental investigation on HCCI engine with gasoline injection”, National Conference on Recent Trends and Developments in Sustainable Green Technologies, no.7, pp. 293-296, 2015. 14. Kalian, N., “Investigation of CAI and SI combustion in a 4-cylinder Direct Injection Gasoline Engine”, PhD thesis, Sept., 2006. 15. Osbourne, R.J., Li, G., Sapsford, S.M., Stokes, J., Lake, T.H., and Heikal, M.R., “Evaluation of HCCI for Future Gasoline Powertrains”, SAE Paper 2003-01-0750, 2003.ql]wc.

Authors: P.Venkataramana, G.V.P.N srikanth, G. Srinivas Convective Heat Transfer through Nano Fluid in A Vertical Wavy Channel With Travelling Paper Title: Thermal Wave Abstract: The effect of radiation on free convective flow of heat transfer through a porous medium in a vertical wavy channel has been studied. The resultant differential equations are solved by RK 6th order method. The numerical computations are presented graphically to show the salient features of the fluid flow and heat transfer characteristics. The Nuselt numbers are also analyzed for various of governing parameters

Keywords: Nano-fluid, Free convection, Radiation, Travelling Thermal Waves, Porous Medium, RK 6th order method.

References: 1. P.Venkataramana, S.V Raganayakulu and G.Srinivas; Heat transfer through Nano fluid in a vertical wavy channel with travelling 76. Thermal waves, International Journal of Mathematical Trends and Technology(2018) volume 56 issue 6 ,pp 455-462 ,ISSN 2231- 5373. 2. Zahir Shah, Abdullah Dawar, Muhammad Idress, Waris khan, Saeed Islam and Taza Gul;Impact of Thermal Radiation and Heat source 413-417 /sink on Eyring – powell fluid over an unseady Oscillatory porous Stretching Surface, Mathematical and Computational Applications (2018) 3. M.S Dada and A.B Disu; Heat transfer with Radiation and temperature dependent Heat source in MHD free Convection flow in a porous medium between two vertical wavy walls, Journal of Nigerian Mathematical Society(2015). 4. Chaudhary,S; Singh,thermal radiation effects on MHD Boundary layer flow over an exponentially stretching surface.Sci.Res.publ.Appl.Math.2015,6,295-303. 5. G.V.P.N Srikanth ,B.Suresh babu and Dr.G.Srinivas :heat and mass transfer of a MHD Nano fluid with Chemical reaction effects (2014) , International Journal of Mechanical and Production Engineering ,ISSN:2320-2092,Volume-2,Issue-3,March-2014. 6. Molla, M. and Hossain M. A., “Radiation Effect on Mixed Convection Laminar Flow Along a Vertical Wavy Surface,” International Journal of Thermal Sciences Vol. 46, pp. 926,935 (2007). 7. SK Reddy, DC Kesavaiah, MNR Shekar: Convective Heat and Mass Transfer Flow from a Vertical Surface with Radiation, Chemical reaction and Heat Source/Absorption : International Journal of Scientific Engineering and Technology (ISSN : 2277-1581) Volume 2 Issue 5, pp : 351-361 1 May 2013

Authors: Tamilarasu Viswanathan, M. Mathankumar, R. Ramya Paper Title: Gesture Identification Based On Neural Network Abstract: This paper presented a Gesture based interaction has a wide run of applications in a computing environment, which is a normal way of human machine interaction. It gives an productive human-machine interaction for intuitively and shrewdly computing. The accelerometer sensor is utilized for information securing. The motion acknowledgement basically comprises of two stages: Training and Testing stage. The training stage is performed offline and it comprises of collection of speeding up signals from the accelerometer sensor and the highlight extraction of the speeding up signals. The testing organize is done online. In this venture, two signals are utilized with two highlights. All the two signals are prepared utilizing a single arrange. The strategy utilized to prepare the signals is Extraordinary Learning Machines (ELM) which is a sort of neural organize. The calculation is recreated in overshadow and actualized in arduino for genuine time. The exactness watched for all the three signals is more than 90%.

Keywords: Gesture, Gesture Recognition, Arduino,Neural Network, Machine learning..

References: 1. J. S. Kim, S. J. Yun, and Y. S. Kim, Low-power motion gesture sensor with a partially open cavity package, Opt. Express, vol. 24, no. 10, pp. 1053710546, 2016. 2. S. K. Tang, W. C. Tseng, W. W. Luo, K. C. Chiu, S. T. Lin, and Y. P. Liu, Virtual Mouse: A Low Cost Proximity-Based Gestural Pointing Device, in Human-Computer Interaction. Interaction Techniques and Environments: 14th Int. Conf., HCI International 2011, 77. Orlando, USA, Proc., Part II, 2011, pp. 491499. 3. Withana, R. Peiris, N. Samarasekara, and S. Nanayakkara, zSense: Enabling Shallow Depth Gesture Recognition for Greater Input Expres- sivity on Smart Wearables, in CHI 15 Proc. of the 33rd Annual ACM Conf. on Human Factors in Computing Systems, Seoul, 418-420 Korea, 2015, pp. 36613670. 4. K. Murakami and H. Taguchi, Gesture Recognition using Recurrent Neural Networks, in Proc. of the SIGCHI conf. on Human factors in computing systems, New Orleans, USA, 1991, pp. 237242. 5. P. Vamplew and A. Adams, Recognition and anticipation of hand motions using a recurrent neural network, in IEEE International Conf. on Neural Networks, Perth, Australia, 1995, pp. 36. 6. C. W. Ng and S. Ranganath, Gesture recognition via pose classification, in Proc. - Int. Conf. on Pattern Recognition, Barcelona, Spain, 2000, vol. 15, no. 3, pp. 699704. 7. E. Tsironi, P. Barros, and S. Wermter, Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network, in Eur. Symp. on Artificial Neural Networks, Bruges, Belgium, 2016, pp. 213218. 8. M. Maraqa and R. Abu-Zaiter, Recognition of Arabic Sign Language (ArSL) using recurrent neural networks, in 1st Int. Conf. on the Applications of Digital Information and Web Technologies, ICADIWT 2008, Ostrava, Czech Republic, 2008, pp. 478481. 9. M. Mathankumar, T. Viswanathan and T. Dineshkumar, Implementation of Data Gathering System Using Mobile Relay Node in Wireless Sensor Network, IJPAM,Volume 116 No. 11 2017, 111-119 10. H. Stern, K. Smilansky, and S. Berman, Depth Based Dual Component Dynamic Gesture Recognition, in IPCV13 - The 2013 Int. Conf. on Image Processing and Computer Vision, Las Vegas, USA, 2013. 11. T. Liu, W. Zhou, and H. Li, Sign language recognition with long shortterm memory, in 2016 IEEE Int. Conf. on Image Processing (ICIP), Phoenix, USA, 2016, pp. 28712875. 12. V.R. Balaji and N.Prakash, “IOT Based Smart Security and Monitoring Devices for Agriculture “International Journal of Pure and Applied Mathematics ,Volume 116 No. 11 2017, 121-129 13. Y. Chen, Z. Ding, Y. L. Chen, and X. Wu, Rapid recognition of dynamic hand gestures using leap motion, in 2015 IEEE Int. Conf. on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE Int. Conf. on Automation and Logistics, Lijiang, China, 2015, pp. 14191424. 14. 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,vol9no6,2017,1876-1894 15. P. Hong, M. Turk, and T. S. Huang, Constructing Finite State Machines for Fast Gesture Recognition, in Pattern Recognition, 2000. Proc. 15th Int. Conf. on, Barcelona, Spain, 2000, pp.691694.

Authors: P Urmila, A S Kumar, A L P Kumar, N Haripavan Paper Title: Strengthening Of Reinforced Concrete Rectangular Columns By Using FRP Sheets Abstract: This paper is based on home based security system. In modern world people are instructed on home automation, but don’t care about home security. Security is much more important than automation of home because it can save life and commodity of the people. This paper proposes two main important aspects. One of the processes is automatic sending of message to home owner with help of GSM when door is open by unauthorized user using PIC microcontroller and next one is surveillance camera usage for home security by raspberrypi-3Raspberrypiis used for image processing, image processing can be done only if user can enter wrong password it will indicate to raspberry pi for image processing for finding out the unauthorized person.

Keywords: Home automation, camera, GSM, PIC-microcontroller.

References: 1. Athira M. A., Meera C. M., Sreepriya Mohan(2016)-“ EXPERIMENTAL STUDY ON RC COLUMNS WRAPPEDWITH HYBRID 78. FRP SHEETS”. 2. Beryl Shanthapriya A ,Sakthieswaran N(2015)-“OPTIMIZATION OF GFRP CONFINEMENT IN RC COLUMNS USING SHAPE 421-424 MODIFICATION TECHNOLOGY”. 3. Manish Kumar Tiwari,Rajiv Chandak, R.K. Yadav(2014) –“STRENGTHENING OF REINFORCED RECTANGULER COLUMNS USING FIBER REINFORCED POLYMERIC MATERIEL AS LATERAL CONFINEMENT”. 4. Sultan ErdemliGunaslan;HalimKarasin(2014)-“USE OF FRP COMPOSITE MATERIAL FOR STRENGTHENING REINFORCED CONCRETE”. 5. Azadeh Parvin * and David Brighton [2014]: “FRP COMPOSITES STRENGTHENING OF CONCRETE COLUMNS UNDER VARIOUS LOADING CONDITIONS”. 6. Manish Kumar Tiwari , Rajiv Chandak , R.K. Yadav [2014]: “STRENGTHENING OF REINFORCED CONCRETE CIRCULAR COLUMNS USING GLASS FIBRE REINFORCED POLYMERS”. 7. J. F. Chen, S.Q.Li and L. A. Bisby [2103]; “FACTORS AFFECTING THE ULTIMATE CONDITION OF FRP-WRAPPED CONCRETE COLUMNS”. 8. K.p jaya and jessimathai [2011]: “STRENGTHENING OF RC COLUMNS BY USING GFRP AND CFRP”. 9. RiadBenzaid, Nasr-EddineChikh, Habib Mesbah(2008)-“BEHAVIOUROF SQUARE CONCRETE COLUMN CONFINED WITH GFRP COMPOSITE WARP”.

Authors: Jincymol Joseph, J R Jeba Paper Title: Noise Reduction using Character Density Approach Abstract: Web mining is an application of data mining to extract informative content from World Wide Web(WWW). It has become one of the most significant resources nowadays. It may contain informative as well as non-informative contents. Non-informative contents may be header, footer, advertisements, copyright information, etc. These are called noisy data. A user needs only main contents. Web mining methods are useful for removing noisy parts and extract main contents from a web page, The advantage of using web mining methods is reduced time. Also, it provides users the needed information. This paper describes various methods for eliminating non-informative content from the large volume of data present in World Wide Web.

Keywords: Noisy data, web mining, cluster, outlier.

References: 1. Kavitha,Priyanka Mahani, Dr.Neelam Ruhil, “Web Data Mining Aperspective of research and challenges”, IEEE Transactions on knowledge and data Engineering, October 2016. 2. Sandeep Kaur and Abhishek Tyagi “Noise reduction and Content Extraction from web pages using DOM Based Page Segmentation”, International Journal of Computer Technology & Application, Vol 5(6),2022-2027, December 2014. 3. Faustina Johnson and Santosh Kumar Gupta, “Web content mining techniques: A survey”, International Journal of Computer Applications, Vol. 47, No. 11, June 2012 79. 4. Vishal Gupta, Gurpreet S. Lehal, “A Survey of Text Mining Techniques and applications.”, Journal of emerging technologies in web intelligence, Vol. 1, No. 1, August 2009. 5. Surabhi Lingwal, “Noise Reduction and content retrieval from web pages ”, International Journal of Computer Applications, Vol. 73, 425-428 No. 4, July 2013 6. Ms. Pranjali G. Gondse, Professor Anjali B. Raut “Main Content Extraction From Web Page Using Dom”, International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 3, March 2014 7. D.S.Misbha, J.R.Jeba, “Scheduling Effective Cloud Updates in Streaming Data Warehouses using RECSS Algorithm” IJAER Vol.11 No.7 8. K. Nethra1, J. Anitha2 and G. Thilagavathi, “Web Content Extraction Using Hybrid Approach”, ICTACT Journal On Soft Computing, January 2014, VOLUME: 04, ISSUE: 02 9. Fei Sun,Dandan Song and Lejian Liao ,“DOM based Content extraction via Text Densiy “, International Journal of Computer Science and Information Technologies, Vol. 5 (3) , 2014, 3066-3068 10. J.R Jeba, S.P.Victor,”A novel approach for finding item sets with hybrid strategies”, International Journal of Computer Applications., Vol.17,No.5,2011 11. [12] J.R.Jeba, S.P.Victor,” Comparison of frequent item set Mining algorithms”, International Journal of Computer Science and Information Technologies, Vol 2 (6), 2011 12. Jincymol Joseph, J.R.Jeba , “Survey on web Content Extraction” , IJAER Vol.11 No.7 13. J R Jeba, S.P.Victor, “Effective measures in Association Rule mining”, International Journal of Scientific and Engineering research, Vol 3,Issue 8,2012. 14. A.F.R Rahman, H.Alam and R.Hartono, “Content extraction from HTML documents”, International workshop on Web document Analysis, pp.7-10, 2001. 15. CincyW.C,J.R.Jeba, “A method of A-BAT Algorithm based Query Optimization for crowed Sourcing System, IJ Intelligent Systems and applications, March 2018. 16. R.Gunasundari, “A study of content extraction from web pages using links”International Journal of Data Mining & knowledge management process, Vol.2,No.3,May2012 17. S.S. Bhamare,Dr.B.V.Pawar, “Survey on Web Page Noise Cleaning for Web Mining”, International Journal of Computer Science and Information Technologies, Vol. 4 (6) , 2013 18. Pralhad S. Gamare, G. A. Patil, “Web document clustering using hybrid approach in data mining” International Journal of Advent Technology, Vol.3, No.7, July 2015 19. CincyW.C,J.R.Jeba, Performance Analysis of Novel Hybrid A-BAT Algorithm in Crowdsourcing Environment” , IJAER, Vol.12 No.24 20. W3C document object model. Website, 2009. 21. http://www.w3.org/DOM. 22. Bhavdeep Mehta,Meera Narvekar, “DOM Tree based approach for web content extraction”, IEE

Authors: G.Saranya, R.Mahalakshmi, J.Ramprabu Paper Title: Smart Electronic Voting Machine Abstract: In India, the conversational voting method both in state and general elections is done by basic electronic machine. In this technology, there is a possibility that instead of one eligible person, someone can vote for that person who is also eligible to vote. In order to provide security for the above drawback, this project is indented to verify the candidate by using a unique password fingerprint using ARM7 microcontroller and their basic detail by RFID tag. ARM7 processor is the simple and mostly used for implementation of new idea which is integrated with the fingerprint sensor. RFID uses the radio frequency for communication to transmit and receive the basic details. Hence, the project is providing additional security by ensuring with the complete proof to the conversational system to select the representative for our democratic country.

Keywords: RFID, ARM7, fingerprint. 80. References: 429-430 1. ieeexplore.ieee.org,”fingerprintImageenhancement and miniature extraction”Raymond thai. http://www.codeproject.com//articles/97590//a-framework-in-c-for-fingerprint-verification http://neurotechnology.com/fingerprint.biometric.html http://en.wikipedia.org/wiki/indian_voting_machine 2. J.Ramprabu, G.Sindhuja "Performance Analysis of Open-Source Real Time Operating Systems" International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 4 Issue 2, February 2015, ISSN: 2278 – 1323 3. J Ramprabu, Kamini D”Remote Monitoring And Controlling Of Green House Via GPRS”, International Journal Of Computer Science And Information Technologies,Vol 4,2012 4. P. Keerthana, B.G. Geetha, 3 P. Kanmani,” Crustose Using Shape Features And Color Histogram With Knearest Neighbour Classifiers”, International Journal Of Innovations In Scientific And Engineering Research, Vol. 4, Iss. 9,2017,Pp. 199-203 5. 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. 6. 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: Improving the Efficiency of Solar Panel by Continuous Energy Generation Paper Title: Ramprabu J, Poovarasan V, Karunamoorthy B Abstract: Solar energy is taking part in a significant role in compensating the electricity as there’s short fall during this energy because of a lot of demand and decline trends of typical source of energies exhaustion of fuels like coal, petroleum, natural gases associated constant of environmental and climatic changes to cope up this electrical phenomenon installation is being drained an electrical system to compensate and enhance the energy. Generation of electricity through renewable energy is drastically increasing day by day. The most commonly used renewable energy is solar energy. Energy can be only generate during day time, whenever sunlight is available. The problem is electricity cannot be generated during nighttime, when sunlight is not available. The proposed procedure utilizes incandescent lamp to create power from the sun oriented board amid evening time. The primary point of this undertaking is to control sunlight based board cover OPEN and CLOSE contingent on the sun light. To make it adaptable and a considerable measure of supportive for the parts more up to date patterns and advancements can encourage.

Keywords: Photo voltaic panel, halogen bulb, Maximum power point tracking.

81. References: 1. M. A. Green, “Clean Electricity from Photo voltaics,,” in Series on Photo conversion of Solar Energy, M. D. R. Hill, Ed., vol. 1. 431-434 Imperial College Press, UK. 2. . M.A, Panait and T Tudorache, “A Simple Neural Network Solar Tracker for Optimizing Conversion Efficiency in Off-Grid Solar Gener- ator”, 3 2008, vol.no. 3. Z. G. P. Piao, J. M. Kim, J. H. Cho, G. B. Baek, and H., “L, “ A study on the tracking photovoltaic system by program type,”,” Intl. Conf. on Electrical Machines and Systems, vol. 2, pp. 971–973, 9 2005. 4. WATTSUNTM SOLAR TRACKER RETAIL PRICE AND DATASHEET.[Online].Available. [Online]. Available: http://www. wattsun.com/prices.html 5. H. Shaker, H. Zareipour, and D. Wood, “A data-driven approach for estimating the power generation of invisible solar sites,,” IEEE Trans. Smart Grid, to be published. 6. Nourai, R. Sastry, and T. Walker, A vision & strategy for deployment of energy storage in electric utilities,, Minneapolis, MN, 7 2010. 7. K. A. A. A. W. Leedy, A constant voltage maximum power point tracking method for solar powered systems,, 2011. 8. “R.Sureshkumar, “Three phase load balancing and energy loss reduction in distribution network using labVIEW”,” in International journal of pure and applied Mathematics, Volume No.116,No.11,2017,pp, pp. 181– 189. 9. R. E. A. Senturk, “Performance comparison of a double-axis sun tracking versus fixed pv system,,” Solar Energy, vol. 86, no. 9, p. 2665, 2672. 10. “A review of time use models of residential electricity demand,,” Renew. Sustain. Energy Rev, vol. 37, pp. 265–272, 9 2014. 11. “J.RamPrabu, A.Poorani, B.RathnaSudheer,S.SuryaPrakash published a paper on "Implementation Of Fast Charging Unit"International,” Journal of Informative & Futuristic Research ISSN (Online), vol. 2347, no. 1697, 2015. 12. Benda, X. Chu, S. Sun, T. Q. Quek, and A. Buckley, PV cellAngleop- timization for energy arrival-consumption matchinginsolarenergyharvestingcellularnetwork,,2017. 13. 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. 14. 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. 15. 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: S. Manivannan, N.Saravanakumar Paper Title: Certain Investigation on Matrix-Converter Topologies Abstract: This paper introduces a survey towards the present best in class as far as reasonable lattice converter advances. Present answers for the various mechanical issues and difficulties confronted while actualizing suitable grid converters are examined. Martrix-Converter (MC) essentials and the task are depicted all through this paper. This spreads topological attributes, MC types and nuts, and bolts of activity, usage of discrete semiconductors as bidirectional switches, economically accessible bidirectional switches modules bundling, bidirectional switches compensation plans dependent on current and voltage course and also tweaks systems of MC-dependent on related distributions. The motivation behind the greater part towards these techniques are to produce a sin current happening the info besides yield edges. These techniques remain looked at thinking about hypothetical intricacy and execution. This paper infers that the control methodology significantly affects the reverberation towards the MC input channel.

Keywords: Matrix-converter (M-C), Z-Source-matrix-converter (ZMC), AC-to-AC converter.

References: 1. P. W. Wheeler, J. Rodriguez, J. C. Clare, L. Empringham, and A. Weinstein, “Matrix-converters: A technological review,” IEEE Trans. Ind. Electron., vol. 49, no. 2, pp. 276–288, Apr. 2002. 2. F. Bradaschia, M. C. Cavalcanti, F. Neves, and H. de Souza, "A modulation technique to reduce switching losses in matrix-converters," IEEE Trans. Ind. Electron., vol. 56, no. 4, pp. 1186–1195, Apr. 2009. 3. A. Arias, L. Empringham, G. M. Asher, P. W. Wheeler, M. Bland, M. Apap, M. Sumner, and J. C. Clare, “Elimination of waveform 82. distortions in matrix-converters using a new dual compensation method,” IEEE Trans. Ind. Electron., vol. 54, no. 4, pp. 2079–2087, Aug. 2007. 435-438 4. D. Casadei, G. Serra, A. Tani, and L. Zarri, “Optimal use of zero vectors for minimizing the output current distortion in matrix- converters,” IEEE Trans. Ind. Electron., vol. 56, no. 2, pp. 326–336, Feb. 2009. 5. M. Glinka and R. Marquardt, "A new AC/AC multilevel converter family," IEEE Trans. Ind. Electron., vol. 52, no. 3, pp. 662–669, Jun. 2005. 6. Y. L. Meng, P. Wheeler, and C. Klumpner, “Space-vector modulated multilevel matrix-converter,” IEEE Trans. Ind. Electron., vol.57, no. 10, pp. 3385–3394, Oct. 2010. 7. S. Muller, U. Ammann, and S. Rees, "New time-discrete modulation scheme for matrix-converters," IEEE Trans. Ind. Electron., vol. 52, no. 6, pp. 1607–1615, Dec. 2005. 8. D. Casadei, G. Serra, A. Tani, A. Trentin, and L. Zarri, “Theoretical and experimental investigation on the stability of matrix- converters,” IEEE Trans. Ind. Electron., vol. 52, no. 5, pp. 1409–1419, Oct. 2005. 9. D. Casadei, J. Clare, L. Empringham, G. Serra, A. Tani, A. Trentin, P. Wheeler, and L. Zarri, “Large-signal model for the stability analysis of matrix-converters,” IEEE Trans. Ind. Electron., vol. 54, no. 2, pp. 939– 950, Apr. 2007. 10. K. B. Lee and F. Blaabjerg, “An improved DTC-SVM method for sensorless matrix-converter drives using an overmodulation strategy and a simple nonlinearity compensation,” IEEE Trans. Ind. Electron., vol. 54, no. 6, pp. 3155–3166, Dec. 2007. 11. H. M. Nguyen, H. H. Lee, and T. W. Chun, “Input power factor compensation algorithms using a new direct-SVM method for matrix- converter,” IEEE Trans. Ind. Electron., vol. 58, no. 1, pp. 232–243, Jan. 2011. 12. H. Hojabri, H. Mokhtari, and L. Chang, "A generalized technique of modeling, analysis, and control of a matrix-converter using SVD,” IEEE Trans. Ind. Electron., vol. 58, no. 3, pp. 949–959, Mar. 2011. 13. F. Luo and Z. Pan, “Sub-envelope modulation method to reduce total harmonic distortion of AC/AC matrix-converters,” in Proc.37th IEEE Power Electron. Spec. Conf., Jeju, South Korea, Jun. 18–22, 2006, pp. 1–6. 14. M. Pfeifer and G. Schroder, “New commutation method of a matrix-converter,” in Proc. IEEE Int. Symp. Ind. Electron., Seoul, South Korea, Jul. 5–8, 2009, pp. 1516–1519.

Authors: S.N Shivappriya, M. Ramalatha Marimuthu, K. Maheswari Paper Title: Machine Performance Monitoring through Web Portal & Mobile App Abstract: Today, production data of machines is maintained manually in notebooks and/or simple Excel files in the computer. This critical information is not available to management in real time to make informed decisions. The scope of Yantra 24×7 software is to capture operational data from machines in real time and make it available to management on their mobile phones with an easy – to -use interface. The idea is to present accurate information in real time and enable the management to make informed decisions

Keywords: Web portals, mobile app, excel files, computer, and mobile phone.

83. References: 1. https://www.qburst.com/industrial.iotplatform/www.iise.org/ISEmagazineyantra24x7.com/https://securesite.com/login.html 439-443 2. Ray Y.ZhongaLihuiWangbXunXu, An IoT-enabled Real time Machine Status Monitoring Approach for Cloud Manufacturing,Procedia CIRP Volume 63, 2017, Pages 709-714,open access. 3. Prof. P. R. Rodge, JaykantPrajapati, Anup Salve, PallaviSangle, IoT Based Smart Interactive Office Automation, International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 04 | Apr -2017 4. With Kibira, Deogratias, Katherine C. Morris. Methods and Tools for Performance Assurance of Smart Manufacturing Systems, Journal of Research of the National Institute of Standards and Technology, Vol. 121. 2016. 5. Seung-Jun Shin, Jungyub Woo, Duck Bong Kim and SudarsanRachuri.Developing a virtual machining model to generate MTConnect machine monitoring data from STEP-NC, International Journal of Production Research, pp. 1-19, 2015. 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 no6,2017,1959-1968. 7. [10]PradipDadasoPange, SankarMurugesan,” Investigate Robot With Remote Surveillance System, Metaldetector&Speed Control Using Zigbee&Arduino”, International Journal Of Pure And Applied Mathematics, Volume 116 No12, 2017, pp. 249-256..

Jayasinghe S.J.A.N.S, Liyanage M.S.H, Wijesundara L.A.N.H, R.D.P.V Ranasinghe, Weligodapola Authors: H.W.M.C Investigation in to the Factors Influencing the Savings and Investment Behavior on the Success of Paper Title: Small Scale Cinnamon Planters in Sri Lanka Abstract: Small scale enterprises have long been believed to be important in supporting economic development within a country. Due to the lack of an entrepreneurial culture, many Sri Lankan entrepreneurs do not possess the required knowledge on savings and investment strategies to remain successful within their industry. This issue remains unchanged among cinnamon planters as well. The study was based on a microeconomic approach of estimating the factors influencing the saving and investment behavior of small scale cinnamon planters in Sri Lanka. The data was collected through face to face questionnaire using snowball sampling technique and semi structured interviews. Data was analyzed using Statistical Package of Social Science (SPSS) and word cloud. The findings revealed saving deposits as their main forms of savings while business expansion as their main forms of investments. The findings also developed a conceptual framework that highlighted income, number of dependents, trustworthiness and convenience as the factors that influenced their yearly savings while business growth, risk and return as the factors that influenced their total capital investment. It was recommended to provide a standard price, setting up well equipped factories and proper schemes of saving that would encourage investments within the cinnamon industry to grow with quality cinnamon.

Keywords: Cinnamon, Investments, Savings, Small Scale Business, Sri Lanka

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Authors: R. Karthikeyan, A. Chandramouli, G. Srivatsun Paper Title: Ground Penetrating Radar (GPR) Antenna Design: A Comparative Study Abstract: A detailed study on Ultra-wideband (UWB) antennae equipped Ground Penetrating Radar (GPR) applications is done. High gain and wide bandwidth are the two antenna parameters to be considered for deep penetration in GPR applications. Among the many antennae, a comparative study on six different geometry is presented. The six different geometries include Planar, Slot, Horn, Vivaldi, Reflector and Bowtie are compared with respect to physical dimensions, operating frequency, S11, Gain and Bandwidth. Among these six structures, Vivaldi and slot antennae outperform the others with respect to gain as well as bandwidth. Planar monopole antennae are also highly preferred to achieve high gain and wide bandwidth. Use of planar monopole antenna for GPR applications is also suggested.

Keywords: UWB antenna, GPR, S11, Gain, Planar Monopole.

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Authors: Reshmi S Nair, Jerrin Thadathil Varghese, M. Chithirai Pon Selvan Characteristics Behavior of Composite Materials with the Incorporation of Nanotechnology: Paper Title: A Review Abstract: Nanotechnology delivers a unique podium for the development of novel components in various industrial andmanufacturing arenas. Due to its new processing techniques and variety of applications the nanometric composites have technologically advanced from a research scale to commercial sector where it can be extensively implemented for longer reliability and dedicatd usage. Among the ennumerable multi-phase solid composites displaying significant roles in the grounds of material science refining the property of the materials. They consist of polymeric and inorganic nanoparticles of portraying uniform geometrical structure. The intention of this publication is to deliver a scholastic research on polymer nanometric composite with respect to their characteristics and focus on the effectual characteristic features of nanoscale structure of the composites enabling the synthesis of a nanostructured composite material inhibiting an overwhelming performance in their respective practical applications and implementations. The excellence of nanotechnology in augmenting unique characteristic features and making them more devastated in their characteristics is also illustrated here. Furthermore, the challenges encountered and future stance for the research opportunities entitles great interest in the field of nanotechnology and aerospace engineering

Keywords: Nanometric composites, multiphase, polymer composites, Aerospace, Nanotechnology, Mechanical Characteristic features, Applications.

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Authors: S. Nagendram, K. Ramchand H Rao Paper Title: Survey of Different Security and Routing Protocols Hierarchy in Wireless Network Communication Abstract: In recent years, wireless networking is an emerging concept for personal, mobiles and sensor communications. Normally wireless network is combined and integrated data relations for modern communication in infrastructure, energy efficiency; these are the main design parameters to improve network performance with respect to mitigate communication relations. Security is one of the parameter to define network efficiency for real time wireless networks. In this paper, we discuss about traditional approaches for wireless communication to facilitate data encryption and decryption. In this paper, we describe different type’s security issues with respect to attack sequences in network communication. We also give brief description about different routing protocols to support data communication in wireless networks. And also define different routing algorithms used in data communication to increase network efficiency with respect to different network parameters. Finally, describe a comparative study between different security, routing and protocols used in wireless communication.

Keywords: Wireless communication, routing algorithms, routing protocol hierarchy, security and privacy.

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Raghavendra, “An adaptive energy efficient and low-latency MAC for data gathering in wireless sensor networks”, Proceedings of 18th International Parallel and Distributed Processing Symposium, Pages: 224, 26-30 April 2004. 10. T.V. Dam and K. Langendoen, “An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks”, The First ACM Conference on Embedded Networked Sensor Systems (Sensys‘03), Los Angeles, CA, USA, November, 2003. 11. P. Lin, C. Qiao, and X. Wang, “Medium access control with a dynamic duty cycle for sensor networks”, IEEE Wireless Communications and Networking Conference, Volume: 3, Pages: 1534 - 1539, 21-25 March 2004. 12. A. Safwat, H. Hassanein, H. Mouftah, “ECPS and E2LA: new paradigms for energy efficiency in wireless ad hoc and sensor networks”, IEEE Global Telecommunications Conference, GLOBECOM’03, Volume: 6, Pages: 3547 - 3552, 1-5 December 2003. 13. S. Cui, R. Madan, A. J. Goldsmith, and S. Lall, “Joint Routing, MAC, and Link Layer Optimization in Sensor Networks with Energy Constraints”, to appear at ICC'05, Korea, May, 2005. 14. J. Ding, K. Sivalingam, R. Kashyapa, L. J. Chuan, “A multi-layered architecture and protocols for large-scale wireless sensor networks”, IEEE 58th Vehicular Technology Conference, 2003, VTC 2003-Fall 2003, Volume: 3, Pages:1443 - 1447, 6-9 Oct. 2003. 15. M. Zorzi, “A new contention-based MAC protocol for geographic forwarding in ad hoc and sensor networks”, IEEE International Conference on Communications, Pages:3481 - 3485 Vol.6, 20-24 June 2004. 16. R. Rugin, G. Mazzini, “A simple and efficient MAC-routing integrated algorithm for sensor network”, IEEE International Conference on Communications, Volume: 6, Pages: 3499 - 3503, 20- 24 June 2004. 17. F. Douglis, P. Krishnan and B. Marsh, Thwarting the power-hungry disk, in: Proceedings of the 1994 Winter USENIX Conference (1994). 18. L.M. 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Authors: Batti.Tulasidasu, Koppula. Vijaya Kumar Paper Title: Congestion Control and Routing Optimization by using On Demand Routing protocol of AODV Abstract: Now a days the main problem is routing optimization and congestion control of distribution. The Routing optimization has received a major role recently. Most of the existing methods follow second order approach of back Pressure algorithm(BPA). which results of performance shows in poor delay and slow convergence,To overcome slow convergence, poor delayand to achieve perfect routing optimization by using On Demand routing protocol that offers optimality of utility, fastly calculation of path with low delay. The main contribution of the paper is to overcome the drawbacks in the second order distributed approach of AODV, they are: 1) On-demand routing protocol to decrease time delay. 2) Only the efficient or needed nodes are covered avoiding unnecessary nodes. 3) Improper optimization is avoided in this method.

Keywords: On Demand Routing Protocol, AODV, delay Performance, second order distribution Approach.

References: 1. V. Goyal, O. Pandey, A. Sahai, and B. Waters, “Attribute- based encryption for fine-grained access control of encrypted data,” in Proc. 13thACM Conf. Comput. Commun. Secur., Oct. 2006, pp. 89–98. 2. W. Zhu, J. Yu, T. Wang, P. Zhang, and W. Xie, “Efficient attribute-based encryption from R-LWE,” Chin. J. Electron., Oct. 2014, vol. 88. 23, no. 4, pp. 778–782. 3. J. Bethencourt, A. Sahai, and B. Waters, “Ciphertext- policy attribute based encryption,” in Proc. IEEE Symp. Secur. Privacy, May 474-477 2007, pp. 321–334. 4. L. Cheung and C. Newport, “Provably secure ciphertext policy ABE,” in Proc.14th ACM Conf. Comput. Commun. Secur., Oct. 2007, pp. 456–465. 5. L. Ibraimi, M. Petkovic, S. Nikova, P. Hartel, and W. Jonker, “Mediated ciphertext-policy attribute-based encryption and its application,” in Proc.10th Int.Workshop Inf. Secur. Appl., Aug. 2009, pp. 309–323. 6. Grady Booch, James Rumbaugh, Ivar Jackobson, Unified Modeling Language User Guide, Addison Wesley, First Edition October 20, 1998 7. Roger S. Pressman, Software Engineering: A Practitioner’s Approach, Fifth Edition 2001. 8. D. Pareek, The business of WiMAX. Wiley, 2006, no. ISBN-13 978- 0-470-02691-5. 9. J. G. Andrews, A. Ghosh, and R. Muhamed, Fundamentals of WiMAX: Understanding Broadband Wireless Networking. Pearson Edu., 2007. 10. L. Nuaymi, WiMAX: Technology for Broadband Wireless Access. John Wiley & Sons, 2007. 11. R. Prasad and F. J. Velez, WiMAX Networks - Techno- Economic vision and challenges. Springer, 2010, no. ISBN 978-90-481-8751- 5. 12. C. Eklund, R. B. Marks, S. Ponnuswamy, K. L. Stanwood, and N. J. Van Waes, WirelessMAN: Inside the IEEE 802.16 Standard for Wireless Metropolitan Area Networks. IEEE Standards Information Network/IEEE Press, May 2006, no. ISBN-13 978-0738148427. 13. M. Nakamura, T. Chujo, and T. Saito, “Standardization Activities for Mobile WiMAX,” FUJITSU SCIENTIFIC & TECHNICAL JOURNAL (FSTJ), vol. 44, no. 3, pp. 285–291, 2008. 14. T. Siep, I. Gifford, R. Braley, and R. Heile, “Paving the way for personal area network standards: an overview of the IEEE P802.15 Working Group for Wireless Personal Area Networks,” Personal Communications, IEEE, vol. 7, no. 1, pp. 37 –43, Feb. 2000.

Authors: M. Shireesha, N.Rama, P. Kartheek Rao, J Sarada Prasad Paper Title: Mathematical Model of Radial Flow Reactor for Naphtha Hydrodesulphurization 89. Abstract: In the present study, a mathematical model is developed for centrifugal radial flow reactor for hydro desulphurization of naphtha with kinetics available in the literature. Also, an investigation into the effect of 478-483 various process parameters like temperature, pressure, LHSV and H2/Naphtha ratio on the design of centrifugal radial flow reactor. Effect of the above process parameters on mal distribution has been evaluated using the mathematical model.

Keywords: Hydro Treatment, Desulfurization, Thiophene, Naphtha, Modeling.

References: 1. Anshu Nanoti, Soumen Dasgupta, Vasudha Agnihotri, Pushpa Gupta, A zeolite based vapor phase adsorptive desulfurization process for naphtha based on Microporous and Mesoporous Materials 146 (2011) 158–165. 2. I.V. Babich, J.A. Moulijn, Novel processes for deep desulfurization of oil refinery streams based on Fuel 82 (2003) 607–631. 3. Jamal A. Anabtawi, Khurshid Alam, Mohammed A. Ali, Syed A. Ali, Performance evaluation of HDS catalysts by distribution of sulfur compounds in naphtha. Fuel Vol. 74 No. 9, pp. 1254-1260, 1995 4. Francisco Hernández-Beltrán, Juan Carlos Moreno-Mayorga, Roberto Quintana-Solórzano, Jaime Sánchez-Valente, Sulfur reduction in cracked naphtha by a commercial additive: effect of feed and catalyst properties. Applied Catalysis B: Environmental 34 (2001) 137–148. 5. Hui-feng Xue, Xiao-yun Zhang, Man-cang Liu, Zhi-de Hu, Simultaneous determination of major characteristic parameters of naphtha by capillary gas chromatography. Fuel Processing Technology 87 (2006) 303 – 308. 6. Changlong Yin, Genquan Zhu, Daohong Xia, A study of the distribution of sulfur compounds ingasoline fraction produced in ChinaPart 2. The distribution of sulfur compounds in full-range FCC and RFCC naphthas. Fuel Processing Technology 79 (2002) 135– 140. 7. Georgina C. Laredo, José L. Cano, Carla R. López, Ricardo Saint Martin, Alternate use of heavy hydrotreatment and visbreaker naphthas by incorporation into diesel. Fuel Processing Technology 88 (2007) 897–903. 8. David J. Perez-Martinez, Pierre Eloy, Eric M. Gaigneaux, Sonia A. Giraldo, Aristobulo Centeno, Study of the selectivity in FCC naphtha hydrotreating by modifying the acid–base balance of CoMo-Al2O3 catalysts. Applied Catalysis A: General 390 (2010) 59–70. 9. R. Prins, M. Egorova, A. Ro¨thlisberger, Y. Zhao, N. Sivasankar, P. Kukula, Mechanisms of hydrodesulfurization and hydrodenitrogenation. Catalysis Today 111 (2006) 84–93. 10. Robert J. Angelici,An over view of modeling studies in HDS HDN. Polyhedron Vol. 16, No. 18, pp. 3073-3088, 1997. 11. P. Raje, Shuh-Jeng Liaw, Ram Srinivasan, Burtron H. Davis, Second row transition metal sulfides for the hydrotreatment of coal- derived naphtha I. Catalyst preparation, characterization and comparison of rate of simultaneous removal of total sulfur, nitrogen and oxygen. Applied Catalysis A: General 150 (1997) 297-318 12. Estrada-Villagrana, G.B. Quiroz-Sosa, M.L. Jim´enez-Alarc´on, Comparison between a conventional process and reactive distillation for naphtha hydrodesulfurization Chemical Engineering and Processing 45 (2006) 1036–1040. 13. C. Laredo, José L. Cano, Carla R. López, Ricardo Saint Martin, Alternate use of heavy hydrotreatment and visbreaker naphthas by incorporation into diesel Fuel Processing Technology 88 (2007) 897–903 14. 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Authors: S. Tephillah Vasantham Paper Title: An Overview on Significance of Employee Retention Abstract: In the gift distinctive business conditions because of accrued globalization with social, monetary and innovative developments, there's vast competitive competition among organizations therefore worker retention is maybe one in all the foremost essential factors that contributes to the event and growth of a corporation. The weather between a worker and his work place area unit a sensitive adjustment of compromise. While not the suitable live of association and support, staff will feel underestimated and forgotten. Thus, this had created it crucially vital and necessary for firms to retain their existing staff. Although it's a difficult issue encountered by most organizations across the world is to retain their existing staff however researches proofs that for long 90. success and action of organizations, staff and their retention is incredibly vital. Thus, the only real reason for this paper is to spot and analyze the key factors that have an effect on worker retention. This paper can empower 484-487 organizations to tell apart and analyze the first components influencing the retention of staff, that may well be typically used and connected by organizations to search out solutions to the worker retention issue, that might modify firms to avoid wasting employee-costs that area unit more or less simple fraction of their defrayal

Keywords: Employee Retention, Compensation, Work-life-balance, Work setting, Employee Involvement, Human Resource Management, hour and worker Retention.

References: 1. Arnold, E. (2005) Managing human resources to improve employee retention. The Healthcare manager. 24(1). p. 132- 140. 2. Aslam, Mahmood, Hafeez, Hussain(2011)Public services as an employer of Choice: Study of problems or challenges faced by National Bank of Pakistan with respect to recruitment and Retention. Mediterranean Journal Of Social Sciences, Vol. 2, No. 1, January 2011, ISSN 2039-2117 3. Bidisha, L. D., Mukulesh, B. (2013) Employee retention: A review of literature. Journal ofBusiness and Management. 14(1).p.8-16. 4. Burke, R. and Ng, E. (2006). The changing nature of work and organizations: implicationsfor human resource management. Human Resource Management Review, 16 (2). p. 86-94 5. Chee Hong, ZhengHao, Chaktak, Yee Kiat, Yong Guan( August 2011) Effect of Empowerment, Training, Compensation and Appraisal on UTAR Lecturers‘ Retention 6. Eric K, M. Sutphin, W. Hass, T Lambur( july 15 2011) Influence of Human Resource Practices on Employee Intention to Quit 7. Fitz-enz, J. (1990) Getting and keeping good employees. In Personal. 67(1). p.25-29 8. Gardner, D.G., Van Dyne, L., Pierce, J.L. (2004) The effects of pay level on organizationbasedself-esteem and performance. A field study. Journal of occupational andorganizational psychology. 77(1). p. 307-322 9. George, C. (2015) Retaining professional workers: what makes them stay? EmployeeRelations. [Online] Emerald 37(1). P.102. 10. Ghapanchi, A.H., Aurum, A. (2011) Antecedents to IT personnel’s intentions to leave: Asystematic literature review. Journal of systems and software.84(1). p.238-249 11. Govaerts, et al. (2015) Influence of learning and working climate on the retention of talentedemployees. Journal of Workplace Learning. [Online] Emerald Insight 23(1). Pg. 37-38. 12. Hong, Hao, Kumar, Ramendran, Kadlresan(2012) An Effectiveness of Human Resource Management Practices on Employee Retention in Institute of Higher learning: – ARegression Analysis. International Journal of Business Research and Management (IJBRM), Volume (3) : Issue (2) : 2012 60 13. Horwitz, F. M., Heng, C.T. and Quazi, H.A. (2003) Finders, keepers? Attracting, motivatingand retaining knowledge workers. Human Resource Management journal.13(4) .p. 23-44. 14. Huang, I.C., Lin, H.V., Chuang, C.H. (2006) Constructing factors related to worker retention.International Journal of Manpower. 27(5).p.491-508. 15. Huselid, M. A. (1995) The impact of resource management practices on turnover,productivity, and corporate financial performance. Academy of management journal. 38(3).p.635-672. 16. Irshad, M. (2014) Factors affecting employee retention: evidence from literature review.Abasyn Journal of Social Sciences. EBSCOhost.4(1).p.84-97. 17. Karen Shelton(2001), The Effects Of Employee Development Programs On Job Satisfaction And Employee Retention. The Graduate College University of Wisconsin-Stout May 2001 18. Khan, Mehmood, Ayoub, Hussain(2011) An Empirical Study of Retention Issues in Hotel Industry:A Case Study of Serena Hotel, Faisalabad, Pakistan. European Journal of Economics, Finance and Administrative Sciences ISSN 1450- 2275 Issue 29 (2011) 19. Kossivi, B. et al. (2016) Study on determining factors of employee retention. Open Journal ofSocial Sciences. [Online] 4 Pg. 261-268. 20. Kovach, K.A. (2001). What motivates employees? Workers and supervisors give differentanswers. Survey. 1. p.58-65 21. Kumar, J. (2012) Hrm Practice on the Retention of Employees of the Information TechnologySector. International Journal of Scientific Research.[Online] 1(4). Pg. 108-110. 22. Mehta, M., Kurbetti, A. and Dhankhar, R. (2014). Study on Employee Retention andCommitment. International Journal of Advance Research in Computer Science andManagement Studies. 2 (2). 23. Moncarz, E. Zhao, J., Kay, C. (2009). An exploratory study of US lodging properties’organizational practices on employee turnover and retention. International Journal ofContemporary Hospitality Management. 21. p.437- 458. 24. Muceke, E. Iravo, G.S. Namusonge(2012) Determinants of Academic Staff Retention in Public Universities in Kenya: Empirical Review. International Journal of Humanities and Social Science Vol. 2 No. 13; July 2012 25. Pitts, D., Marvel, J., Fernandez, S. (2011) So hard to say Goodbye? Turnover intentionamong US Federal Employees. Public administration Review.71(1).p.751-760. 26. Shoaib, Noor, Tirmizi, Basher, (2009). Determinants of employee retention in telecom sector of Pakistan, Proceedings 2nd CBRC, Lahore, Pakistan 27. The Labour Market Framework for Yukon(2010) Recruitment and Employee Retention Strategies.

Authors: Vijayan.S.N, T.Gunasekaran, SenthilKumar.K.R Failure Analysis of A Steam Pipe Used In Rotary Kiln under High Temperature Conditional Paper Title: Circumstances Abstract: The high temperature Steam Pipes used in Rotary kiln is to activate charcoal in activated carbon industry. High temperature Steam is the heart of activation process which is continuously and uniformly distributed in the activation zone. Aim of this study is to analyze the fracture produced in the steam pipe in heat affected zone during the process. Analysis was performed in two types of pipes such as pipes having straight holes and without holes using finite element analysis method. Total deformation, equivalent stress and temperature distributions were determined to analyze the failure. 91. Keywords: Rotary Kiln, Failure Analysis, Steam Pipe, Deformation, Equivalent Stress. 488-491

References: 1. Vijayan. S. N, Sendhilkumar. S, “Industrial Applications of Rotary Kiln in Various Sectors - A Review”, International Journal of Engineering Innovation & Research Volume 3, Issue 3, pp. 342-345. 2. Vijayan.S.N, M.Makeshkumar, “Material Specific Product Design Analysis for Conditional Failures – A Case Study”, International Journal of Engineering Science and Technology, Vol. 4 No.03 March 2012, pp.976-984. 3. Pei-Hsing Huang, Hao-Hsiang Cheng, and Sheau-Horng Lin, “Adsorption of Carbon Dioxide onto Activated Carbon Prepared from Coconut Shells”, Journal of Chemistry, Volume 2015, Article ID 106590, 10 pages. 4. M.A. Tadda, A. Ahsan, A. Shitu, M. E Sergany, T. Arunkumar, Bipin Jose, M. Abdur Razzaque, N.N. Nik Daud, “A review on activated carbon: process, application and prospects”, Journal of Advanced Civil Engineering Practice and Research, 2(1):7-13, 2016. 5. Joan R. Hernandez, Froilan L. Aquino, Sergio C. Capareda, “Activated Carbon Production from Pyrolysis and Steam Activation of Cotton Gin Trash”, American Society of Agricultural and Biological Engineers, Article ID 076084, June 2007. 6. Youchen Zhang, Zongbo Jiang, “Reliability Analysis of Main Steam Pipe Containing Defects”, Procedia Engineering 43 ( 2012 ) 150 – 155. 7. Jan Storesund, Kristin Steingrimsdottir, Juhani Rantala, Tobias Bolinder, “Creep analyses of a steam pipe system”, International Conference on Life Management and Maintenance for Power Plants, 2016, PP.16. 8. C.J. Han, H. Zhang, J. Zhang, “Failure Pressure Analysis of the Pipe with Inner Corrosion 9. Defects by FEM”, Int. J. Electrochem. Sci., 11 (2016) 5046 – 5062. 10. Han-Sung Huang, “Fracture Characteristics Analysis of Pressured Pipeline with Crack Using Boundary Element Method”, Advances in Materials Science and Engineering, Volume 2015, Article ID 508630, 13 pages. 11. A.M.Ahmad Zaidi, M.M.Md Asif , I.Abdul Rahman, S.Rasool Mohideen, A.F.Ahmad, “Finite Element Simulation on Crack Analysis of a Thick-Tube”, International Journal of Integrated Engineering, pp. 67-71.

Authors: Mallikarjuna Bestha, Y. V. Siva Reddy, R. Kiranmayi Application of Directional Bat Algorithm to Economic Load Dispatch problems with various Paper Title: practical constraints Abstract: This publication discusses the Directional Bat Algorithm (DBA) and has suggested getting the better results for Economic and Emission Dispatch (EED issues. The preliminary aim of the EED is to diminish both emission and its allied installation expenses while satiating the system constraints. Standard Bat algorithm (SBA) based on echolocation behaviour of microbats, has been used in the past to investigate the local/global finest solution. But SBA has less exploration ability, so premature convergence can occur. To avoid this drawback, an investigative approach based on the capability of directional echolocation characteristics of micro-bats is introduced to the SBA for improve its exploration and exploitation capabilities. The DBA has been executed on different test cases. To show the effectiveness of DBA, it is in turn linked with various techniques that has been discussed in the literatures published earlier. The outcome also show that the DBA is more efficient

Keywords: economic dispatch, emission dispatch, transmission losses, prohibited operating zones, mathematical modeling, bat algorithm and directional bat algorithm.

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Authors: A. MahaLakshmi, N. Swapna Goud, G. Vishnu Murthy A Survey on Phishing And It’s Detection Techniques Based on Support Vector Method (SVM) and Paper Title: Software Defined Networking(SDN) Abstract: Phishing is a deceitful attempt for obtaining the sensitive information like credit card details, user names and passwords. It is one of the social engineering methods that gathers personal information through websites such as malicious websites and deceptive e-mail to canvass personal information from a company or an individual by prance as a trustworthy entity or organization. Phishing often attacks email by using as a vehicle and even sending messages by email to users that represent a part of a company or an institution who perform business such as financial institution, banking etc. Phishing is becoming more malicious day by day and its detection is very important. In cyberspace, phishing is motivating the researchers to develop the model through which we can develop more security towards the safe services provided by the web. Here we discuss types of phishing and conflicts due to it.

Keywords: Cuckoo search, Honey Pots, Phishing, Support Vector Method, Software defined networking.

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