Table of Contents
1. Fundamentals, Architecture and applications of Self-Powered Sensing System 2. Fabrication of Self-Powered Sensors : Materials, Techniques, Types, Comparison and Applications 3. Thermoelectric Self-Powered Sensors and Implantable Applications of Self-Powered Sensors 4. Wearable and Portable self-powered sensor systems based on emerging energy harvesting technology 5. Augmented machine learning towards smart self-powered sensing systems 6. Next Generation Self-Powered Integrated Sensing Systems for the Industrial Internet of Things (IIoT) Applications 7. Self-Powered Wearable Implantable Smart Sensors and Medical Electronics Based on Nanogenerators 8. Intelligent Vision Sensors Tracking and Sensor Fusion Space-Based Surveillance and Detection 9. Stretchable and Flexible Wearable Sensors Based on Carbon and Textile for Health Monitoring 10. Wearable electrochemical and biosensors for Forensic Analysis: Challenges and Research Directions 11. Self-powered triboelectric sensors for biomedical monitoring and human-machine interface 12. Cyber Security and Data Privacy Vulnerability Analysis for Smart self-powered sensors 13. Biomimetic and Bio-inspired approaches for MEMS/NEMS enabled self-powered sensors 14. Materials and Fabrication Methods for a Printable Fabrication in a Fully Integrated and Self-Powered Sensor System 15. Self-powered wireless solution toward smart city use cases and its applications 16. Deep Learning Algorithms and Self-Powered Tactile Sensor for Gesture Recognition 17. Signal processing for a Self-Powered Vibration-Based Power Generation: Case Study
Authors
Rajesh Kumar Dhanaraj Professor, Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University), Pune, Maharashtra, India. Dr. Dhanaraj holds a PhD in Information and Communication Engineering by Anna University, Chennai, India. His research and publication interests include cyber-physical systems, wireless sensor networks, and cloud computing. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Computer Science Teacher Association (CSTA) and of the International Association of Engineers (IAENG). He is an Expert Advisory Panel Member of Texas Instruments Inc. (USA), and an Associate Editor of International Journal of Pervasive Computing and Communications (Emerald Publishing). Prithi Samuel Malathy Sathyamoorthy Assistant Professor, Dept. of Information Technology, KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India.Dr. Malathy holds a PhD in Information and Communication Engineering by Anna University, Chennai, India. Her research areas include wireless sensor networks, Internet of Things, and applied machine learning. She is a life member of the Indian Society for Technical Education (ISTE) and the International Association of Engineers (IAENG). She is an active author/editor for Springer, CRC Press, and Elsevier. She is also a reviewer for Wireless Networks (Springer) and on the editorial board at many international conferences.
Balamurugan Balusamy Shiv Nadar University, Delhi-NCR, India.Prof. Balamurugan Balusamy is the Associate Dean Student at Shiv Nadar Institution of Eminence, Delhi-NCR. He is also an Adjunct Professor at the Department of Computer Science & Information Engineering at Taylor University, Malaysia. Before this assignment, he was a Professor at the School of Computing Sciences & Engineering and Director of International Relations at Galgotias University, Greater Noida, India. His contributions focus on Engineering Education, Blockchain, and Data Sciences. His academic degrees and twelve years of experience working as a faculty member in a global university like VIT University, Vellore, have made him more receptive and prominent in his domain. He does have 200 plus high-impact factor papers in Springer, Elsevier, and IEEE. He has written and authored over 200 books and edited and collaborated with eminent professors from top-ranked universities worldwide. He has published 80+ books on various technologies and visited 15-plus countries for his technical course. He has several top-notch conferences in his resume and has published over 200 quality journal, conference, and book chapters combined.
Vinayakumar Ravi Professor, Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia. Dr. Vinayakumar Ravi is an Assistant Research Professor at the Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia. Dr. Ravi has been a Postdoctoral Research Fellow developing and implementing novel computational and machine learning algorithms and applications for big data integration and data mining with Cincinnati Children's Hospital Medical Center, Cincinnati, USA. He received his Ph.D. in Computer Science from Amrita School of Engineering, Coimbatore, India. His current research interests include applications of data mining, Artificial Intelligence, machine learning and, deep learning for biomedical informatics, cyber security, image processing, and natural language processing. Dr. Ravi is editor of Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics, Springer. Dr. Ravi is an editorial board member for Journal of the Institute of Electronics and Computer (JIEC), International Journal of Digital Crime and Forensics (IJDCF), and he has organized a shared task force on detecting malicious domain names (DMD 2018) as part of SSCC'18 and ICACCI'18.
