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• 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.
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
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
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.
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