• Discusses about the basic principles of EMI/EMC including causes and events. • Makes reader understand the problems in different applications because of EMI/EMC and the reducing methods. • Explores real-world case studies with code to provide hands-on experience. • Reviews design strategies for mitigation of noise. • Includes MATLAB, PSPICE, ADS simulations for designing EMI Filter circuits.

Optimal Power Flow Using FACTS Devices: Soft Computing Techniques develops intelligent algorithms to analyze optimal power flow (OPF) and to enhance the power transfer capability of the transmission line with reduced congestion. By providing elaborate studies on FACTS devices and by using soft computing metaheuristics algorithms such as Firefly, Cuckoo, Flower Pollination, and others., this book enables readers to know about algorithms in real-time power system applications and damping of subsynchronous resonance (SSR) oscillations. Key features of this book include: Offers comprehensive review of FACTS devices and the importance of soft computing techniques for solving OPF. Describes the various problems associated with power system operation and control. Addresses issues of SSR in power systems and proposes soft techniques for SSR analysis in power systems. Demonstrates of the importance of SSR and congestion management using intelligent FACTS devices as part of OPF. Covers power systems’ reliability, quality, cost-effectiveness, effects on customer goodwill, and pollution limits, including the deregulation of markets and different intelligent controllers. Optimal Power Flow Using FACTS Devices: Soft Computing Techniques is aimed at researchers and professionals in the field of power systems.

Covers three important aspects of smart cities i.e., healthcare, smart communication and information, and smart transportation technologies Discusses on various security aspects of medical documents and the data preserving mechanisms Provides better solution using IoT techniques for healthcare, transportation, and communication systems Includes the implementation example, various datasets, experimental results, and simulation procedures Offers solution for various disease prediction systems with intelligent techniques

Power Converters for Electric Vehicles gives an overview, topology, design, and simulation of different types of converters used in electric vehicles (EV). It covers a wide range of topics ranging from the fundamentals of EV, Hybrid EV and its stepwise approach, simulation of the proposed converters for real-time applications and corresponding experimental results, performance improvement paradigms, and overall analysis. Drawing upon the need for novel converter topologies, this book provides the complete solution for the power converters for EV applications along with simulation exercises and experimental results. It explains the need for power electronics in the improvement of performance in EV. This book: Presents exclusive information on the power electronics of EV including traction drives. Provides step-by-step procedure for converter design. Discusses various topologies having different isolated and non-isolated converters. Describes control circuit design including renewable energy systems and electrical drives. Includes practical case studies incorporated with simulation and experimental results. Power Converters for Electric Vehicles will provide researchers and graduate students in Power Electronics, Electric Drives, Vehicle Engineering a useful resource for stimulating their efforts in this important field of the search for renewable technologies.

Explains the basic concepts of Python and its role in machine learning Provides comprehensive coverage of feature-engineering including real-time case studies Perceive the structural patterns with reference to data science and statistics and analytics Includes machine learning based structured exercises Appreciates different algorithmic concepts of machine learning including unsupervised, supervised and reinforcement learning

Optimal Power Flow Using FACTS Devices: Soft Computing Techniques develops intelligent algorithms to analyze optimal power flow (OPF) and to enhance the power transfer capability of the transmission line with reduced congestion. By providing elaborate studies on FACTS devices and by using soft computing metaheuristics algorithms such as Firefly, Cuckoo, Flower Pollination, and others., this book enables readers to know about algorithms in real-time power system applications and damping of subsynchronous resonance (SSR) oscillations. Key features of this book include: Offers comprehensive review of FACTS devices and the importance of soft computing techniques for solving OPF. Describes the various problems associated with power system operation and control. Addresses issues of SSR in power systems and proposes soft techniques for SSR analysis in power systems. Demonstrates of the importance of SSR and congestion management using intelligent FACTS devices as part of OPF. Covers power systems' reliability, quality, cost-effectiveness, effects on customer goodwill, and pollution limits, including the deregulation of markets and different intelligent controllers. Optimal Power Flow Using FACTS Devices: Soft Computing Techniques is aimed at researchers and professionals in the field of power systems.

Provides entire coverage of energy management and audit concepts Explores energy audit methodologies and energy saving initiatives Incorporates current technologies like machine learning, IoT, data analytics in energy audit for reliability improvement Describes energy analytics with real time examples and programming codes Includes case studies covering detailed energy saving calculation with investment pay back calculations

Electronics in Textiles and Clothing: Design, Products and Applications covers the fundamentals of electronics and their applications in textiles and clothing product development. The book emphasizes the interface between electronics and textile materials, detailing diverse methods and techniques used in industrial practice. It explores ways to integrate textile materials with electronics for communicating/signal transferring applications. It also discusses wearable electronic products for industrial applications based on functional properties and end users in sectors such as defense, medicine, health monitoring, and security. The book details the application of wearable electronics and outlines the textile fibres used for wearable electronics. It includes coverage of different yarn types and fabric production techniques and modifications needed on conventional machines for developing fabrics using specialty yarns. The coverage includes problems faced during the production processes and their solutions. Novel sensors, specialty yarns, Body Sensor Networks (BSN), and the development of flexible solar tents used for power generation round out the coverage. The book then concludes with discussions of the development of fabric-integrated wearable electronic products for use in mobihealth care systems, smart cloth for ambulatory remote monitoring, electronic jerkin, heating gloves, and pneumatic gloves. Based mainly on the authors' projects and field work, the book takes a practical approach to the issues involved in designing electronic circuits and their possibilities for signals, giving you an understanding of problems that can occur when executing the work. It also describes the future scope of e-textiles using conductive materials for medical, healthcare textile product development, and safety aspects. The text provides guidelines for the development of wearable textiles, giving a new meaning to the term human-machine symbiosis in the context of pervasive/invisible computing.

This book focusses on power quality improvement and enhancement techniques with aid of intelligent controllers and experimental results. It covers topics ranging from the fundamentals of power quality indices, mitigation methods, advanced controller design and its step by step approach, simulation of the proposed controllers for real time applications and its corresponding experimental results, performance improvement paradigms and its overall analysis, which helps readers understand power quality from its fundamental to experimental implementations. The book also covers implementation of power quality improvement practices. Key Features Provides solution for the power quality improvement with intelligent techniques Incorporated and Illustrated with simulation and experimental results Discusses renewable energy integration and multiple case studies pertaining to various loads Combines the power quality literature with power electronics based solutions Includes implementation examples, datasets, experimental and simulation procedures

Electronics in Textiles and Clothing: Design, Products and Applications covers the fundamentals of electronics and their applications in textiles and clothing product development. The book emphasizes the interface between electronics and textile materials, detailing diverse methods and techniques used in industrial practice. It explores ways to integrate textile materials with electronics for communicating/signal transferring applications. It also discusses wearable electronic products for industrial applications based on functional properties and end users in sectors such as defense, medicine, health monitoring, and security. The book details the application of wearable electronics and outlines the textile fibres used for wearable electronics. It includes coverage of different yarn types and fabric production techniques and modifications needed on conventional machines for developing fabrics using specialty yarns. The coverage includes problems faced during the production processes and their solutions. Novel sensors, specialty yarns, Body Sensor Networks (BSN), and the development of flexible solar tents used for power generation round out the coverage. The book then concludes with discussions of the development of fabric-integrated wearable electronic products for use in mobihealth care systems, smart cloth for ambulatory remote monitoring, electronic jerkin, heating gloves, and pneumatic gloves. Based mainly on the authors' projects and field work, the book takes a practical approach to the issues involved in designing electronic circuits and their possibilities for signals, giving you an understanding of problems that can occur when executing the work. It also describes the future scope of e-textiles using conductive materials for medical, healthcare textile product development, and safety aspects. The text provides guidelines for the development of wearable textiles, giving a new meaning to the term human-machine symbiosis in the context of pervasive/invisible computing.

Automation is the use of various control systems for operating equipment such as machinery and processes. In line, this book deals with comprehensive analysis of the trends and technologies in automation and control systems used in textile engineering. The control systems descript in all chapters is to dissect the important components of an integrated control system in spinning, weaving, knitting, chemical processing and garment industries, and then to determine if and how the components are converging to provide manageable and reliable systems throughout the chain from fiber to the ultimate customer. Key Features: * Describes the design features of machinery for operating various textile machineries in product manufacturing * Covers the fundamentals of the instrumentation and control engineering used in textile machineries * Illustrates sensors and basic elements for textile automation * Highlights the need of robotics in textile engineering * Reviews the overall idea and scope of research in designing textile machineries

Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and Natural Language Processing Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing Discovers deep learning frameworks and libraries for NLP, Speech and Computer vision in Python Gives insights into using the tools and libraries in python for real-world applications. Provides easily accessible tutorials, and real-world case studies with code to provide hands-on experience.

Considered one of the most innovative research directions, computational intelligence (CI) embraces techniques that use global search optimization, machine learning, approximate reasoning, and connectionist systems to develop efficient, robust, and easy-to-use solutions amidst multiple decision variables, complex constraints, and tumultuous environments. CI techniques involve a combination of learning, adaptation, and evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/ Simulink (R) explores the performance of CI in terms of knowledge representation, adaptability, optimality, and processing speed for different real-world optimization problems. Focusing on the practical implementation of CI techniques, this book: Discusses the role of CI paradigms in engineering applications such as unit commitment and economic load dispatch, harmonic reduction, load frequency control and automatic voltage regulation, job shop scheduling, multidepot vehicle routing, and digital image watermarking Explains the impact of CI on power systems, control systems, industrial automation, and image processing through the above-mentioned applications Shows how to apply CI algorithms to constraint-based optimization problems using MATLAB (R) m-files and Simulink (R) models Includes experimental analyses and results of test systems Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/ Simulink (R) provides a valuable reference for industry professionals and advanced undergraduate, postgraduate, and research students.

This book presents selected papers from the International Conference on Renewable Energy Systems (ICRES 2020). It throws light over the state of the art of renewable energy sources and their technological advances. Renewable energy sources discussed in this book include solar, wind, biomass, fuel cells, hydropower , hydrogen, nuclear, and geothermal. This book comprehensively explains each of these sources, materials associated, technological development, economics and their impact on the environment. As the renewable energy sources are intermittent, they require specific power electronic converter to convert the generated power into useful form that can be used for utility. Hence, this book describes different forms of power converter such as AC-DC, DC-DC, DC-AC and AC-AC. Advanced power semiconductor devices, their gate drive and protection circuits, heat sink design and magnetic components for power converter are the additional topics included in this book. The topics covered in these proceedings will have a large impact among academicians, researchers, policy makers, scientists, practitioners and students in fields of electronics and electrical engineering, energy engineering, automotive engineering, and so on.

This book presents selected papers from the International Conference on Renewable Energy Systems (ICRES 2020). It throws light over the state of the art of renewable energy sources and their technological advances. Renewable energy sources discussed in this book include solar, wind, biomass, fuel cells, hydropower , hydrogen, nuclear, and geothermal. This book comprehensively explains each of these sources, materials associated, technological development, economics and their impact on the environment. As the renewable energy sources are intermittent, they require specific power electronic converter to convert the generated power into useful form that can be used for utility. Hence, this book describes different forms of power converter such as AC-DC, DC-DC, DC-AC and AC-AC. Advanced power semiconductor devices, their gate drive and protection circuits, heat sink design and magnetic components for power converter are the additional topics included in this book. The topics covered in these proceedings will have a large impact among academicians, researchers, policy makers, scientists, practitioners and students in fields of electronics and electrical engineering, energy engineering, automotive engineering, and so on.

Automation is the use of various control systems for operating equipment such as machinery and processes. In line, this book deals with comprehensive analysis of the trends and technologies in automation and control systems used in textile engineering. The control systems descript in all chapters is to dissect the important components of an integrated control system in spinning, weaving, knitting, chemical processing and garment industries, and then to determine if and how the components are converging to provide manageable and reliable systems throughout the chain from fiber to the ultimate customer. Key Features: * Describes the design features of machinery for operating various textile machineries in product manufacturing * Covers the fundamentals of the instrumentation and control engineering used in textile machineries * Illustrates sensors and basic elements for textile automation * Highlights the need of robotics in textile engineering * Reviews the overall idea and scope of research in designing textile machineries

This book focusses on power quality improvement and enhancement techniques with aid of intelligent controllers and experimental results. It covers topics ranging from the fundamentals of power quality indices, mitigation methods, advanced controller design and its step by step approach, simulation of the proposed controllers for real time applications and its corresponding experimental results, performance improvement paradigms and its overall analysis, which helps readers understand power quality from its fundamental to experimental implementations. The book also covers implementation of power quality improvement practices. Key Features Provides solution for the power quality improvement with intelligent techniques Incorporated and Illustrated with simulation and experimental results Discusses renewable energy integration and multiple case studies pertaining to various loads Combines the power quality literature with power electronics based solutions Includes implementation examples, datasets, experimental and simulation procedures

In today's modern society, to reduce the carbon dioxide gas emission from motor vehicles and to save mother nature, electric vehicles are becoming more practical. As more people begin to see the benefits of this technology, further study on the challenges and best practices is required. The Handbook of Research on Battery Management Systems and Routing Problems in Electric Vehicles focuses on the integration of renewable energy sources with the existing grid, introduces a power exchange scenario in the prevailing power market, considers the use of the electric vehicle market for creating cleaner and transformative energy, and optimizes the control variables with artificial intelligence techniques. Covering key topics such as artificial intelligence, smart grids, and sustainable development, this major reference work is ideal for government officials, industry professionals, policymakers, researchers, scholars, practitioners, academicians, instructors, and students.

Humans have the most advanced method of communication, which is known as natural language. While humans can use computers to send voice and text messages to each other, computers do not innately know how to process natural language. In recent years, deep learning has primarily transformed the perspectives of a variety of fields in artificial intelligence (AI), including speech, vision, and natural language processing (NLP). The extensive success of deep learning in a wide variety of applications has served as a benchmark for the many downstream tasks in AI. The field of computer vision has taken great leaps in recent years and surpassed humans in tasks related to detecting and labeling objects thanks to advances in deep learning and neural networks. Deep Learning Research Applications for Natural Language Processing explains the concepts and state-of-the-art research in the fields of NLP, speech, and computer vision. It provides insights into using the tools and libraries in Python for real-world applications. Covering topics such as deep learning algorithms, neural networks, and advanced prediction, this premier reference source is an excellent resource for computational linguists, software engineers, IT managers, computer scientists, students and faculty of higher education, libraries, researchers, and academicians.