Innovations in Electrical and Electronic Engineering

Proceedings of ICEEE 2022, Volume 1
1. Auflage 2022
ISBN: 978-981-19-1744-8
Verlag: Springer Nature Singapore

Buch, Englisch, Band 893, 553 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 855 g

Reihe: Lecture Notes in Electrical Engineering

This book features selected high-quality papers presented at International Conference on Electrical and Electronics Engineering (ICEEE 2022), jointly organized by University of Malaya and Bharath Institute of Higher Education and Research India during January 8–9, 2022, at NCR New Delhi, India. The book focuses on current development in the fields of electrical and electronics engineering. The book one covers electrical engineering topics–power and energy including renewable energy, power electronics and applications, control, and automation and instrumentation and book two covers the areas of robotics, artificial intelligence and IoT, electronics devices, circuits and systems, wireless and optical communication, RF and microwaves, VLSI, and signal processing. The book is beneficial for readers from both academia and industry.

Zielgruppe

Research

Autoren/Hrsg.

Mekhilef, Saad

Siano, Pierluigi

Shaw, Rabindra Nath

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Energietechnik & Elektrotechnik
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Comparative Study of PID and Model Predictive Control With Boost Converter.- A bidirectional DC-DC converter fed DC motor for Electric Vehicle Application.- PV-WIND Hybrid System Based Cuckoo Search Maximum power point tracking Algorithm.- TriboOnto: A Strategic Domain Ontology Model for Conceptualization of Tribology as a Principal Domain.- ANN- CF-PSO Algorithm Based Selective Harmonic Elimination in Cascaded Multilevel Inverter for PV Applications.- Performance Evaluation of Field Aged Polymer Insulators.- Particle Swarm Optimization Based Self-Tuned PID Controller for Digital Excitation Control System.- Stability and Time Response Analysis of Integrated Renewable Energy System.- Design a Robust Control Platform for Grid Connected Synchronous Generator.- Dynamic Power Flow Control Using Dual-Input Single-Output Non-Isolated DC-DC Converter for Renewable Energy Applications.- Performance Analysis Of Machine Learning, Deep Learning & Ensemble Techniques For Breast Cancer Diagnosis.- Decarbonizing Indian Electricity Grid.- Future Mobility with eVTOL Personal Air Vehicle (PAV): Urban Air Mobility (UAM) Concept.- Dam Water Discharge and Flood Prediction cum Warning System.- Virtual Inertia Control Strategy for High Renewable Energy-Integrated Interconnected Power Systems.- Multimodal Visual Question Answering Using VizWiz data; A Visual Assistant for the Blind.- Design and Neural Control for Insect-Copter for Smooth Perching on Outdoor Vertical Surface.- A 12T SRAM of 16nm CMOS Technology using One Sided Schmitt Trigger Inverter and Read Port.- Multi-Stage Edge Detection for Generative Spatial Robotic Artwork.- Design and Analysis of Micro-Grid Stability under Variable Load Situations.- Risk-Seeker Information Gap Decision Theory Based Smart Grid Operation Encompassing Demand Response.- Performance Analysis of Multi-User Diversity Schemes on Interference Limited D-GG Atmospheric Turbulence Channels.- A Sparse-Dense HOG Window Sampling Technique for Fast Pedestrian Detection in Aerial Images.- Experimental Analysis for Distance estimation using RSSI in Industry 4.0.- Agriculture Field Security System Using Faster R-CNN.- Automated Relational Triple Extraction from Unstructured Text using Transformer.- A Modified SVPWM Strategy to Improve the Performance of Variable Frequency Induction Motor Drives.- A High Performance Multi-Pulse AC-DC Converter for Adjustable Speed Motor Drives.- Passivity-BasedControlofTidalTurbineBasedPMSG Using Interconnection and DampingAssignmentApproach.- Recommendation System based on EEG Emotion Recognition.- Design and implementation of a Self-Charging System to Improve the operating Range in Quad-Motor EV.- Design and implementation of a Weed Removal Agriculture Robot.

Über Autor(innen)

Dr. Saad Mekhilef is IET Fellow and IEEE Senior Member. He is the associate editor of IEEE Transaction on Power Electronics and Journal of Power Electronics. He is Professor in the Department of Electrical Engineering, University of Malaya, since June 1999. He is currently Dean of the Faculty of Engineering and Director of Power Electronics and Renewable Energy Research Laboratory-PEARL. He is the author and co-author of more than 400 publications in international journals and proceedings (253 ISI journal papers) and five books with more than 21000 citations and 73 H-index, and 116 Ph.D. and master students have graduated under his supervision. He has six patents. He frequently invited to give keynote lectures at international conferences. He was listed by Thomson Reuters (Clarivate Analytics) as one of the Highly Cited (Hi Ci) engineering researchers in the world and included in the Thomson Reuters’ The World’s Most Influential Scientific Minds: 2018. He is actively involved in industrial consultancy for major corporations in the power electronics projects. His research interests include power conversion techniques, control of power converters, renewable energy, and energy efficiency.

Dr. Rabindra Nath Shaw is currently working as Director, International Relations, Bharath Institute of Higher Education & Research (Deemed to be University), Chennai, India. Before joining BIHER, he has served also Galgotias University as Director, IR&C. He is an alumnus of the Applied Physics department, University of Calcutta, India. He is Senior Member of IEEE Industry Application Society, USA, and Fellow of Nikhil Bharat Shiksha Parishad, India. He is a global leader in organizing International conferences. His brand of world leading conference series includes IEEE International Conference on Computing, Power and Communication Technologies (GUCON), IEEE International Conference on Computing, Communication and Automation (ICCCA), IEEE IAS Global Conference on Emerging Technologies (GlobConET), International Conference on Electronics & Electrical Engineering (ICEEE), International Conference on Advances in Computing and Information Technology (ICACIT), etc. He holds the position of Conference Chair, Publication Chair, and Editor for these conferences. These conferences are held in collaboration with various international universities like Aurel Vlaicu University of Arad, University of Malaya, University of Siena. Many world leaders are working with Dr. Shaw in these conferences. Most of these conferences are fully sponsored by IEEE Industry Applications Society, USA. He is also an expert in organizing international seminars/webinars/faculty development program in collaboration with leading institutes across the world. His research interests include optimization algorithms and machine learning techniques for power systems, IoT applications, renewable energy, and power electronics converters. He has published more than hundred twenty-five papers in Scopus/Web of Science/SCI indexed international journal/proceedings including high-impact factor journals in the field of renewable energy. He has also published several edited books from Springer and Elsevier publishing houses. He has worked on many national/international patents. He has successfully executed his duty in various positions like Governing Body Member, Centre in Charge, NBA Coordinatseoor, University Examination Coordinator, University MOOC’s Coordinator, University Conference Coordinator, and Faculty-in-Charge, Centre of Excellence for Power Engineering and Clean Energy Integration. He has more than eleven years of teaching, research, and administrative experience in leading institutes like Motilal Nehru National Institute of Technology Allahabad, Jadavpur University, Gargi Memorial Institute of Technology, Brainware Group of Institution, Dream Institute of Technology.



Prof. Pierluigi Siano received the M.Sc. degree in electronic engineering and the Ph.D. degree in information and electrical engineering from the University of Salerno, Salerno, Italy, in 2001 and 2006, respectively. He received the award as 2019 Highly Cited Researcher by ISI Web of Science Group. According to the study conducted by some Stanford University researchers, it has been included in the ranking of 100 thousand international scientists, belonging to different disciplinary fields and with greater scientific impact. The investigation was conducted by some Stanford University researchers who, starting from the SCOPUS database containing the list of scholars of the world classified by scientific production, developed a composite indicator that takes into account all possible bibliometric parameters (h index, number publications, citations, journal relevance, sector relevance, etc.), in order to generate a wider ranking, focused on the scientific relevance of scientists, in relation to the activity of the last 23 years. He is Professor and Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department of Management & Innovation Systems, University of Salerno. His research activities are centered on demand response, on the integration of distributed energy resources in smart grids and on planning and management of power systems. He has co-authored more than 450 papers including more than 200 international journal papers that received more than 7600 citations with an H-index equal to 44. He has been Chair of the IES TC on Smart Grids. He is Editor for the Power & Energy Society Section of IEEE Access, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, Open Journal of the IEEE IES and of IET Renewable Power Generation, Editor of the journal Smart Cities, MDPI Publisher since 2018, Editor of Intelligent Industrial Systems, Springer 2014–2017.