Applications of Internet of Things

Dr. Jyotsna K. ​Mandal received his M.Tech. in Computer Science from the University of Calcutta and his Ph.D. from Jadavpur University in the field of Data Compression and Error Correction Techniques. Currently, he is a Professor of Computer Science and Engineering and Director of the IQAC at the University of Kalyani, West Bengal, India. He is a former Dean of Engineering, Technology & Management (2008–2012). He has 33 years of teaching and research experience. He has served as a Professor of Computer Applications, Kalyani Government Engineering College for two years and as an Associate and Assistant Professor at the University of North Bengal for sixteen years. He has been a life member of the Computer Society of India since 1992 and senior member of IEEE. Further, he is a Fellow of the IETE and a member of the AIRCC. He has produced 176 publications in various international journals, has edited thirty-four volumes as a Volume Editor for Science Direct, Springer, CSI, etc.,and has successfully executed five Research Projects funded by the AICTE, Ministry of IT Government of West Bengal. In addition, he is a Guest Editor of Microsystem Technology Journal. 23 scholars awarded Ph.D. degree under his supervision and eight are pursuing. Dr. Somnath Mukhopadhyay is currently an Assistant Professor at the Department of Computer Science and Engineering, Assam University, Silchar, India. He completed his M.Tech. and Ph.D. degrees in Computer Science and Engineering at the University of Kalyani, India, in 2011 and 2015, respectively. He has co-authored one book and has six edited books to his credit. He has published over 30 papers in various international journals and conference proceedings, as well as five chapters in edited volumes. His research interests include digital image processing, computational intelligence, and remote sensing. He is a member of IEEE and IEEE Computational Intelligence Society, Kolkata Section; life member of the Computer Society of India; and currently the regional student coordinator (RSC) of Region II, Computer Society of India. Dr. Alak Roy, B.Tech. in Computer Science and Engineering from North Eastern Regional Institute of Science and Technology in 2008, M.Tech. in Information Technology from Tezpur University in 2010, awarded Ph.D. in Computer Science and Engineering from Tezpur University in 2010. Qualified UGC NET and GATE in 2017. Presently, he is working as an Assistant Professor in the Department of Information Technology at Tripura University, India, from May, 2012. He has served as an Assistant Professor, Department of Computer Science & Engineering at the National Institute of Technology Agartala from October 2010 to April 2012. He has nine years of teaching and research experience in Wireless Ad-Hoc and Sensor Networks, Internet of Things, Wireless and Mobile Communication, Underwater Sensor Networks, and Computer Networks. He has supervised more than 26 master dissertations. Dr. Roy has published more than 25 papers in international journals and conference proceedings and organized 2 International conferences and 13 workshops. He serves as a Reviewer of 6 journals and 10 conferences and professional member of IEEE, ACM, IAENG, and IAASSE. 

Chapter 1.Design of an Industrial Internet of Things enabled Energy Management System of a Grid Connected Solar-Wind Hybrid System based Battery Swapping Charging Station for Electric Vehicle.- Chapter 2.Modeling and Implementation of Advanced Electronic Circuit Breaker Technique for Protection.- Chapter 3. Peristaltic Transport of Casson Fluid in a Porous Channel in Presence of Hall Current.- Chapter 4.Fingerprint Authentication System for BaaS Protocol.- Chapter 5.Design of a Low Cost Li-Fi System Using Table Lamp.- ​Chapter 6. A Study of Micro Ring Resonator Based Optical Sensor.- Chapter 7. An Efficient Decision Fusion Scheme for Cooperative Spectrum Sensing in Cognitive Radio Networks.- Chapter 8. Detection of early Breast Cancer using A-priori rule mining and Machine learning approaches.-  Chapter 9. Effect of Linear Features to Determination of Sleep Stages Classification from Dual-Channel of EEG signal using Machine Learning Techniques.- Chapter 10. A Tree Multicast Routing based on Fuzzy mathematics in Mobile Ad-hoc Networks.