Peter Han Joo Chong & Akhtar Kalam 
Emerging Electronics and Automation [PDF ebook] 
Select Proceedings of E2A 2021

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This book constitutes peer-reviewed proceedings of the International Conference on Emerging Electronics and Automation (E2A) 2021. The book presents new ideas, research findings, and novel techniques in the fields of sensors and instrumentation, automation and control, artificial intelligence, MEMS sensors, soft computing, signal processing, and communication. It includes contributions received from both academia and industry. The proceedings will be helpful for beginners as well as advanced researchers in the area of automation and other allied fields.

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Table of Content

Power Transformer Protection based on Fuzzy Logic System.- Human Activity Recognition: A Step towards Ambient Assisted Living.- Plant growth optimization using Internet of Things for self-sustaining indoor farms.- A Blockchain Point of View of Supply Chain Problems in India.- Development of Smart Chatbot Using Artificial Intelligence in the Fight Against The Covid-19 Pandemic.- Circular Microstrip Antenna with Shorting Walls for Improved Radiation Performance.- Modified Patch Geometry with Reduced Resonant Frequency.- Ultra Wideband Inverted T-Shape Slot Antenna.- Fusion Rule Optimization for Energy Efficient Cluster- based Cooperative Spectrum Sensing.- Design of Dispersion Compensated with NRZ modulation based 8 and 16 channels WDM system for Long Haul Communication.- D2D Communication for Next Generation Cellular Systems : A Review.- Intelligent reflecting surface at mm-Wave band for D2D communication: An insight.

About the author

Peter Han Joo Chong is Associate Head of School (Research) at the School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand. He received the B.Eng. (with distinction) in Electrical Engineering from the Technical University of Nova Scotia, Canada, in 1993, and the M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of British Columbia, Canada, in 1996 and 2000, respectively. His current research projects focus on machine learning techniques applied to software defined vehicular networks. He has been developing techniques of deep reinforcement learning (DRL)-based resource management for future 5G-V2X networks. His research interest areas are wireless/mobile communications systems including radio resource management, multiple access, MANETs/VANETs, green radio networks, and 5G-V2X networks. He has published over 200 journal and conference papers, 01 edited books, and 9 book chapters in the relevant areas.
Akhtar Kalam has been at Victoria University (VU) since 1985. He is the former Deputy Dean of the Faculty of Health, Engineering, and Science and Head of Engineering of the College of Engineering and Science. Currently, he is the Head of External Engagement. He is also current Chair of the Academic Board in the Engineering Institute of Technology, Perth, Australia, and Editor in Chief of the Australian Journal of Electrical & Electronics Engineering. Further, he has a Distinguished Professorship position at the University of New South Wales, Sydney, Australia, and three Indian and five Malaysian universities. He has also been appointed as Editor in Chief of the Australian Journal of Electrical and Electronic Engineering. He has wide experience in educational institutions and industries across four continents. He received his B.Sc. and B.Sc. Engineering from Calcutta University and Aligarh Muslim University, India. He completed his M.S. and Ph.D. at the University of Oklahoma, USA, and the University of Bath, UK. He has worked with Ingersoll Rand and other electrical manufacturers. Other teaching appointments include the University of Technology, Baghdad, Iraq, and Capricornia Institute of Advanced Education, Rockhampton, Queensland. He has conducted research, provided industrial consultancy, and published more than 542 publications in his area of expertise. He has written 26-plus books in the area. More than 35 Ph.D. students have graduated under his supervision and he is an external examiner of many external doctoral students in Australia and overseas. He provides consultancy for major electrical utilities, manufacturers, and other industry bodies in his field of expertise. He is a fellow of EA, IET, AIE, a life member of IEEE, and a member of the CIGRE AP B5 Study Committee.
António M. Pascoal received the Licenciatura degree in Electrical Engineering from the Instituto Superior Técnico (IST), Lisbon, Portugal, in 1975 and the M.S. degree in Electrical Engineering and the Ph.D. degree in Control Science from the University of Minnesota, Minneapolis, USA, in 1983 and 1987, respectively. His Ph.D. research work was conducted under the supervision of Prof. Pramod Khargonekar. His expertise includes dynamical systems theory, marine robotics, navigation, guidance, and control of autonomous vehicles, and networked control and estimation with applications to air and underwater robots. His long-term goal is to contribute to the development of advanced robotic systems for ocean resources exploration and exploitation. He is currently the Director of the FCT-IST Ph.D. program on Networked Interactive Cyber-Physical Systems (NETSy S). He has supervised or co-supervised 11 postdoctoral and 15 Ph.D. students. He has published 98 books, book chapters, peer-reviewed journal papers, and 250 conference papers.
Manas Kumar Bera is an Assistant Professor in the Department of Electronics and Instrumentation Engineering at the National Institute of Technology, Silchar. He completed his Ph.D. from the Indian Institute of Technology Bombay in 2015,   M.E from Jadavpur University in 2006, and B.E. from the University of Burdwan in 2003. His areas of expertise are control theory and its applications. bio-medical application of control. He has published several papers in national and international journals.

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Language English ● Format PDF ● Pages 463 ● ISBN 9789811943003 ● File size 19.2 MB ● Editor Peter Han Joo Chong & Akhtar Kalam ● Publisher Springer Nature Singapore ● City Singapore ● Country SG ● Published 2022 ● Downloadable 24 months ● Currency EUR ● ID 8709115 ● Copy protection Social DRM

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