This book includes selected papers from the International Conference on Green Technology for Smart City and Society (GTSCS 2020), organized by the Institute of Technical Education and Research, Siksha ‘O’ Anusandhan University, Bhubaneswar, India, during 13–14 August 2020. The book covers topics such as machine learning, artificial intelligence, deep learning, optimization algorithm, Io T, signal processing, etc. The book is helpful for researchers working in the discipline of Electrical, Electronics and Computer Science. The researchers working in the allied domain of communication and control will also find the book useful as it deals with the latest methodologies and applications.
Innehållsförteckning
Intelligent Computing in Io T enabled Smart Cities: A Systematic Review.- Optimal Design of Fractional Order 2DOF-PID Controller for Frequency Control in Interconnected System.- Electrical properties of the PVDF-lead free ceramic-based composite film for sensor applications.- Io T Based Voice Controlled Energy Efficient Intelligent Traffic and Street Light Monitoring System.- Unsupervised Reduced Deep Convolutional Neural Network of Process Empirical Wavelet Transform Data for Recognition of the Early Stage of Alzheimer’s Disease.- Auxiliary dynamic damping loop in the microgrid for enhancing frequency recovery rate.- Design of Chatbots using Node-Red.- Power Factor Correction for Single Phase Domestic Loads Using Microcontroller and Triac.- Techniques Behind Smart Home Automation System Using NLP and (Internet of Thing) Io T.- Salp swarm optimized PID controller for frequency controlof hybrid power system with UC and UPFC.- Implementation of fuzzy hysteresis controller for a three phasephotovoltaic multilevel inverter.- Robust Control and Inverter Approach for Power Quality Improvement.- Economic Analysis of Solar Water Pumping System for Irrigation.- Reliability Assessment and Cost Estimation of a Hybrid Renewable Micro-Grid System.- An Ontology based Matchmaking Technique for Cloud Service Discovery and Selection using Aneka Paa S.- Proper Harmonic Analysis of Load Current of a Single Phase 5-level Voltage Source Inverter using HCC.- A New Sparse Array Configuration for Direction Of Arrival Estimation.- Forecasting of Net Asset Value of Indian Mutual Funds using Firefly Algorithm based Neural Network Model.- Toward Ultimate Scaling: From Fin FETs to Nanosheet Transistors.- Performance of a Free Space Optical Link with ACO-OFDM based Signal Transmission under Beam-wander-dominated Atmospheric Turbulence.- A Comparative Analysis of Demand Response on Different Operational Strategies of Battery Energy Storage System for Distribution System.- Design and Analysis of Hands Free Wireless Charging System.- Fault Tolerance Investigation of Solar Photovoltaic Strings Operating under NOCT.- Frequency control of an AC microgrid with fractional controller.- Effectiveness of Back Propagation Algorithm in Healthcare Data Classification.
Om författaren
Dr. Renu Sharma has received her Ph.D. in Electrical Engineering from SOA University, Bhubaneswar, in 2014. At present, she has more than 20 years of teaching experience. She is a Senior Member of IEEE, Member IEEE, Life member ISTE and Life member ISSE. Her research areas are soft computing, solar photovoltaic systems, power system scheduling and wireless sensor networks. She has published more than 60 research papers in various reputed peer-reviewed international journals, conferences and book chapters.
Dr. Manohar Mishra has completed his Ph.D. in Electrical Engineering in 2017. He has published more than 30 research papers in various reputed peer-reviewed international journals. His area of interest includes power system analysis, power system protection, signal processing, power quality and micro-grid system. Currently, he is serving as Guest Editor in different international journals with repute publishers like Springer and Inderscience.
Dr. Janmenjoy Nayak has received his Ph.D. in Computer Science and Engineering in 2016 from VSSUT, Burla. He has published more than 80 research papers in various reputed publishers. His area of interest includes data mining, nature-inspired algorithms and soft computing. He has edited Sixsix books and serving as Guest Editor in different international journals with repute publishers like Springer, Elsevier and Inderscience. His area of interest includes data mining, computational intelligence, soft computing and its applications.
Dr. Bighnaraj Naik has received his Ph.D. in Computer Science and Engineering in 2016 from VSSUT, Burla. He has published more than 70 research papers in various reputed peer-reviewed international journals, conferences and book chapters. He has edited six books from various publishers such as Elsevier, Springer and IGI Global. His area of interest includes data mining, computational intelligence, soft computing and its applications. Currently, he is serving as Guest Editor in different international journals with repute publishers like Springer, Elsevier and Inderscience.
Dr. Danilo Pelusi has received the Ph.D. degree in Computational Astrophysics from the University of Teramo, Italy. He is an Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access, International Journal of Machine Learning and Cybernetics (Springer) and Array (Elsevier). His research interests include fuzzy logic, neural networks, information theory and evolutionary algorithms.
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