Advances in Information Communication Technology and Computing

Vishal Goar (Senior Member, IEEE) is currently working as Assistant Professor (Department of MCA) in Govt. Engineering College Bikaner, Rajasthan since July 2008. He received the MCA degree from IGNOU, New Delhi and also qualified UGC-NET (Computer Science) in 2012. He received a Ph.D. degree in Computer Science in 2013. He has wide experience of 17 years as an academician, researcher and in Industry. He has published 46 research papers in international journals (SCI/Scopus/WoS) and presented 41 papers in national/international conferences. He has been editor/ authored 11 books including reference, text and edited books of Springer, Singapore, ACM USA and Scholars-Press, Germany. He has published two patents and 3 patents grants in his credit. He supervised 6 Ph.d research scholars in the area of cloud computing, software development, Neural Networks and Deep Learning. He also served as Organizing Chair, Convener, Publicity Chair of various Springer/IEEE/ACM internationally renownedconferences. His research area includes Security, Cloud Computing, IOT, Sensors and Deep Learning. He is the Life Member of Professional Bodies such as IEANG, ACM, ISTE, IACSIT, UACEE, CSTA, SDIWC and CSI. He has served as Technical Programme Committee (TPC) Member and a Reviewer in various Springer, IEEE international conferences, ICACE, ICCECT, ICCSIE and many more. He was invited to be an invited speaker/ Resource Person in TEQIP III Faculty Development Programs and delivered Keynotes in International conferences such as SmartCom-2020. He is also serving as Member of Board of Studies for prestigious universities as Bikaner Technical University, Bikaner, Maharaja Ganga Singh University, Bikaner and Tantia University, Sriganganagar. He is Member of the Research Board in Bikaner Technical University, Bikaner. He is also working as Editorial Board member, Advisory Board member and reviewer of many international journals   Dr. Manoj Kuri is B.Tech. (ECE), PG Diploma inAdvance computing (CDAC Pune), M.Tech. (Digital Communication) and Ph.D. in the field of microwave satellite imaging from Indian Institute of Technology (IIT) Roorkee. He is presently working as Assistant Professor & Head (ECE, AI&DS) at the Government Engineering College, Bikaner, Rajasthan (India). He has teaching and research experience of 20 years. He has held many academic, research and administrative responsibilities in the past, such as Head (Computer science and IT department) and In-charge (Technology Business Incubation Center) and Registrar of the institute. He has many research publications in esteemed journals and renowned conferences. He is a member of many scientific and professional societies/bodies such as IEEE, ISTE, ISRS and IGRSS. He is also a member of IEEE Rajasthan subsection (2019-20). He has travelled to China, Spain, Bangkok, Dubai etc. and presented research papers there. His field of interests are in the field of image processing, machine learning and IoT.   Dr. Rajesh Kumar received the Bachelor of Technology in Engineering degree with honours in Electrical Engineering from the Department of Electrical Engineering, National Institute of Technology Kurukshetra, India, in 1994, Master of Engineering with honours in Power Engineering from the Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, India, in 1997 and Ph.D. degree in Intelligent Systems from Department of Electrical Engineering, Malaviya National Institute of Technology (MREC, University of Rajasthan), India, in 2005. He is currently Professor in the Department of Electrical Engineering; Adjunct Professor at Centre of Energy and Environment at Malaviya National Institute of Technology, Jaipur, India. He has been Research Fellow (A) in the Department of Electrical and Computer Engineering at National University of Singapore from 2009 to 2011. He has been Reader from 2005 to 2009, Senior Lecturer from 2000 to 2005and Lecturer from 1995 to 2000 in the Department of Electrical Engineering, Malaviya National Institute of Technology. He is the Founder of ZINE student innovative group. His background is in the fields of computational intelligence, artificial intelligence, intelligent systems, power and energy management, robotics, bioinformatics, smart grid and computer vision.   Professor Tomonobu Senjyu was born in Saga Prefecture, Japan, in 1963. He received the B.S. and M.S. degrees in electrical engineering from University of the Ryukyus, Nishihara, Japan, in 1986 and 1988, respectively, and the Ph.D. degree in electrical engineering from Nagoya University, Nagoya, Japan, in 1994. He is currently Full Professor with the Department of Electrical and Electronics Engineering, University of the Ryukyus. His research interests are in the areas of renewable energy, power system optimization and operation, power electronics and advanced control of electrical machines.

Chapter 1. Smart Society Development Analysis and Controlbased on an Inductive Inference Method.- Chapter 2. The Emergence of sustainability Adoption in the Healthcare Sector during Covid-19.- Chapter 3. Ultra Wide Band Radar System for Respiratory Detection and Localization of Static Multi-Targets in LOS confined Environment.- Chapter 4. Omnichannel Integration Quality, Perceived Value and Brand Loyalty in the consumer electronics market: The Mediating effect of Consumer Personality.- Chapter 5. Examining the Impact of Incorporating Big Data Analytics in Agriculture.- Chapter 6. Online Teaching Strategies for IT Education.- Chapter 7. Smart and Intelligent Health Monitoring System.- Chapter 8. Energy Efficient OLSR Routing Protocol for Flying Ad-Hoc Networks.- Chapter 9. Challenges in Malware Detection and effecting areas: Survey.- Chapter 10. Integrated Smart IoT Infrastructure Management using Window Blockc­­hain and Whale LSTM Approaches.- Chapter 11. Driving analysis for load andfuel consumption using OBD II diagnostics.- Chapter 12. 2D and 3D Human Pose Estimation and Analysis using Deep Learning.- Chapter 13. The Comprehensive Art of Atmospheric Turbulence Mitigation Methodologies for Visible and Infrared Sequences.- Chapter 14. Graphical interpretation and multi-dimensional data visualization on Heart Disease Dataset.