Recent Developments in Control, Automation and Power Engineering: Select Proceedings of the 5th International Conference, RDCAPE-2023, Volume 2(1303 Lecture Notes in Electrical Engineering)

This book contains original, peer-reviewed research papers from the 5th international conference, RDCAPE 2023. This book presents the latest developments in the field of electrical engineering and related areas distinctively and engagingly. The book discusses issues related to new challenges of renewable energy, new control paradigms for efficient automation and decentralized power systems, new economics of open auction-based electricity generation, transmission and distribution markets, etc. Apart from these, many other topics of interest for readers are also covered. The papers presented here share the latest findings on various issues as mentioned above. It makes the book a useful resource for researchers, scientists, industry people, and students alike.

Table of Contents:
Automatic Parallel Parking Car.- Analysis of Hand Shapes with Convolutional Neural Networks for Sign Language Recognition.- Performance Evaluation of Load Balancer in Storage Level Service Offering Applications.- A Comparative Study of Poisson Algorithm and other Surface Reconstruction Techniques for 3D Modeling from 2D Images.- Optimal scheduling of vehicle-to-grid power exchange using hybrid BPSO and GSA approach.- Smooth Imaging System Using Learning Generative Adversarial Network.- Encoding Data using Slayer Exciter Circuits with Simultaneous Power and Information Transmission.- Design, Analysis of Dual-Band Rectenna for Internet of Things Applications.- A Study of an Efficient Edge Detection Approach with Machine Learning Techniques.- Wireless EV Charging Station using Weight Sensor.- Universal Filters based on Bulk-driven CCII for Low Voltage Analog Applications.- Neural networks-based control framework for teleoperation system.- Reinforcement Learning in Simultaneous localization and mapping.- Comparative performance analysis of PV system in Island mode using MPPT Fuzzy logic controller and Perturb & Observe Algorithm.- Comparative Analysis of SOC Prediction Using Machine Learning Algorithms.- PLC-SCADA based automation system for remote and sensitive areas.- Analyzing the Performance of Fuzzy tunned PID Control of Anti-Lock Braking System.- Design and Implementation of An Automated Conveyor Belt System with Speed Control, Size Sortation and IoT Data Publication.- Investigating Quantum-inspired Evolutionary Algo-rithm with Restarts for Solving IEEE CEC 2022 Benchmark Problems.- ANN based Control Strategy for Automatic Generation Control in Interconnected Power Systems.- State of Charge Estimation of Electric Power Battery using ANN Technique.- "Discrete-Time Realization of Fractional-Order.- Proportional Integral Controller for First-Order Plus Time Delay Plant.- Energy Management System for Sustainable Energy Sources Using Hybrid Approaches.- ANFIS controlled hybrid renewable source system for optimal power sharing.- Robust Sliding Mode Controller for Flyback Converter in Continuous Conduction Mode.- An employment of PID controller based genetic algorithm for the load frequency control of two-area power system network.- Order Reduction of Linear dynamic System Using Recursive Pole Array Technique and Pade Ap-proximation.- Power Generation from Food and Garden Waste in Educational Institute.- Modeling and Performance Analysis of a Model Predictive and Feedback Linearization Controlled UAV Autonomous Quadcopter Drone in 3D Dynamics.- GA Optimization Methods for Charging of Electric Vehicles by Scheduling the Load of Home Appliances.- Design of Type Compensators Using K-factor Method.- Placement and Sizing of Distributed Generation using MELGWO Algorithm in Distribution Networks.- Stability Preservation Technique for Order Reduction of z-domain Interval Structure.- Pregnancy, postpartum hemorrhage management sys-tem using IoT.- Analyzing the Link-Lifetime And Doppler Shift Between Connected Vehicles in Vanet.- Comparative Analysis of Short-Term Load Forecasting Techniques: Conventional Deep Learning Models vs. Proposed LSTM with Attention Layers.- Colorization Of Grayscale Images Using GAN With ResNet As The Backbone.- Development of Electrical Power Train for Conversion of Motorcycle with an Internal Combustion (IC) Engine to an Electric Bike.- Belief reliability evaluation of F-18 LLF system by disjoint method.

About the Author :
Dr. Hemender Pal Singh is the professor and head of the Department of EEE at Amity University, Noida. His areas of interest are control systems, instrumentation, and optical communication. Dr. Ishak B. Aris is a professor in the Department of Electrical and Electronics Engineering at Universiti Putra Malaysia. He has 34 years of teaching and administrative experience in various positions. He was also an adjunct professor at the Faculty of Science, Engineering, and Technology at Swinburne University of Technology, Australia (15 August 2017–14 August 2020). He received an Honorary Professorship from the School of Engineering & Technology at Amity University, Uttar Pradesh, India on 26 Oct. 2017. Before this appointment, he was an army officer at the Electrical and Mechanical Eng. Corps, Malaysia Army. He graduated from the George Washington University, USA, with a B.Sc. in Electrical Engineering (1988). He obtained his M.Sc. in Power Electronics Engineering and Ph.D. from the University of Bradford, United Kingdom in 1991 and 1995, respectively. Dr. Anwar Shahzad Siddiqui is a Professor in the Department of Electrical Engineering at the Faculty of Engineering and Technology, Jamia Millia Islamia (JMI), and has 27 years of teaching and research experience in the field of power systems. He was a faculty member at the Department of Electrical Engineering, Z.H. College of Engineering and Technology, AMU, Aligarh, before joining Jamia. He also served at BITS, Pilani Dubai Campus as an associate professor in Electrical and Electronics Engineering and as an officiating registrar from 2003 to 2008. Dr. Siddiqui obtained his B.Tech. (Electrical Engineering) and M.Tech. (Power System & Drives), both from the Department of Electrical Engineering, Z.H. College of Engineering and Technology, AMU, Aligarh, with Honors. He earned his Ph.D. degree from the Department of Electrical Engineering, Faculty of Engineering and Technology, Jamia Millia Islamia (JMI), in 2001.