L. Ashok Kumar

Electromagnetic compatibility is concerned with the generation, transmission, and reception of electromagnetic energy. The book discusses about the basic principles of electromagnetic interference (EMI) and electromagnetic compatibility (EMC) including causes, events, and mitigation of issues. The design procedures for EMI filter, the types of filters, and filter implementation methods are explained. The simulation of printed circuit board designs using different software and a step-by-step method is discussed in detail. This book addresses the gap between theory and practice using case studies with design, experiments, and supporting analysis. Features:Discusses about the basic principles of EMI/EMC including causes and eventsMakes readers understand the problems in different applications because of EMI/EMC and the reducing methodsExplores real-world case studies with code to provide hands-on experienceReviews design strategies for mitigation of noiseIncludes MATLAB, PSPICE, and ADS simulations for designing EMI Filter circuits.The book is aimed at graduate students and researchers in electromagnetics, circuit and systems, and electrical engineering.

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning models, with an aim to bridge the gap between the theoretical and the applications using case studies with code, experiments, and supporting analysis.Features: 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.This book is aimed at researchers and graduate students in computer engineering, image, speech, and text processing.

This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision science for handling data. Features: Explains the basic concepts of Python and its role in machine learning. Provides comprehensive coverage of feature engineering including real-time case studies. Perceives 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.This book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer engineering.

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.

Predictive Analytics using MATLAB(R) for Biomedical Applications is a comprehensive and practical guide for biomedical engineers, data scientists, and researchers on how to use predictive analytics techniques in MATLAB(R) for solving real-world biomedical problems. The book offers a technical overview of various predictive analytics methods and covers the utilization of MATLAB(R) for implementing these techniques. It includes several case studies that demonstrate how predictive analytics can be applied to real-world biomedical problems, such as predicting disease progression, analyzing medical imaging data, and optimizing treatment outcomes. With a plethora of examples and exercises, this book is the ultimate tool for reinforcing one’s knowledge and skills.

Electromagnetic compatibility is concerned with the generation, transmission, and reception of electromagnetic energy. The book discusses about the basic principles of electromagnetic interference (EMI) and electromagnetic compatibility (EMC) including causes, events, and mitigation of issues. The design procedures for EMI filter, the types of filters, and filter implementation methods are explained. The simulation of printed circuit board designs using different software and a step-by-step method is discussed in detail. This book addresses the gap between theory and practice using case studies with design, experiments, and supporting analysis. Features:Discusses about the basic principles of EMI/EMC including causes and eventsMakes readers understand the problems in different applications because of EMI/EMC and the reducing methodsExplores real-world case studies with code to provide hands-on experienceReviews design strategies for mitigation of noiseIncludes MATLAB, PSPICE, and ADS simulations for designing EMI Filter circuits.The book is aimed at graduate students and researchers in electromagnetics, circuit and systems, and electrical engineering.

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.

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning models, with an aim to bridge the gap between the theoretical and the applications using case studies with code, experiments, and supporting analysis.Features: 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.This book is aimed at researchers and graduate students in computer engineering, image, speech, and text processing.

This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision science for handling data. Features: Explains the basic concepts of Python and its role in machine learning. Provides comprehensive coverage of feature engineering including real-time case studies. Perceives 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.This book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer engineering.

This book describes the concepts of the Solar PV system which is considered an important alternative to fossil fuels. As UN SDG points out, the implementation of clean and affordable renewable energy is becoming more sustainable and progressive. The authors have addressed the basic concepts of Solar PV systems and the design of PV systems, including several real-world examples. The book will be of great benefit to solar energy management professionals, PV troubleshooting engineers, consultants, professors, students, and industry experts.

The technical aspect of electrical machines has gone through passionate scientific progression during the past several decades. Many inventions in strategy, apparatus, circuit, control and system have caused electrical machines to come forward as a major trend in recent years. This book describes promising technology with MATLAB/SIMULÏNK in electrical machines. It addresses the concept of electromechanical energy conversion and describes the beginning of various electrical machines, special electrical machines, electrical drives and their applications using MATLAB/SIMULÏNK. This book also gives a condensed and extensive review of current trends and outcomes. The ultimate goal of this book is to lay emphasis on engineering students to engage in energy conversion on up-to-date electrical applications. This book covers features of MATLAB/SIMULÏNK and its influence in various electrical machines like DC machines, induction machines, synchronous machines, special electrical machines, electrical drives, etc. The focus is to provide technical information to cover equipment based on modelling and design of circuits using MATLAB simulation. This book is highly suggested as an introductory handbook and as a textbook for undergraduate and postgraduate engineers and as a reference book for researchers who are merely engrossed in design and investigation of electrical machines. The technical and user-friendly facets of this book facilitate strong interest for every individual who is interested in learning more about the subject matter.

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.

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.

Power Electronic Converters for Solar Photovoltaic Systems provides design and implementation procedures for power electronic converters and advanced controllers to improve standalone and grid environment solar photovoltaics performance. Sections cover performance and improvement of solar photovoltaics under various conditions with the aid of intelligent controllers, allowing readers to better understand the nuances of power electronic converters for renewable energy systems. With algorithm development and real-time implementation procedures, this reference is useful for those interested in power electronics for performance improvement in distributed energy resources, design of advanced controllers, and measurement of critical parameters surrounding renewable energy systems. By providing a complete solution for performance improvement in solar PV with novel control techniques, this book will appeal to researchers and engineers working in power electronic converters, renewable energy, and power quality.

Simulation of Software Tools for Electrical Systems: Theory and Practice offers engineers and students what they need to update their understanding of software tools for electric systems, along with guidance on a variety of tools on which to model electrical systems—from device level to system level. The book uses MATLAB, PSIM, Pspice and PSCAD to discuss how to build simulation models of electrical systems that assist in the practice or implementation of simulation software tools in switches, circuits, controllers, instruments and automation system design. In addition, the book covers power electronic switches and FACTS controller device simulation model building with the use of Labview and PLC for industrial automation, process control, monitoring and measurement in electrical systems and hybrid optimization software HOMER is presented for researchers in renewable energy systems.

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

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