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This book is written in a clear and thorough way to cover both the
traditional and modern uses of Artificial Intelligence and soft
computing. It gives an in-depth look at mathematical models,
algorithms, and real-world problems that are hard to solve in
MATLAB. The book is intended to provide a broad and in-depth
understanding of fuzzy logic controllers, genetic algorithms,
neural networks, and hybrid techniques such as ANFIS and the GA-ANN
model. Key Features: A detailed description of basic intelligent
techniques(Fuzzy logic, Genetic algorithm & neural network
using MATLAB) A detailed description of the hybrid intelligent
technique: Adaptive fuzzy inference technique(ANFIS) Formulation of
the nonlinear model like Analysis of ANOVA & Response Surface
Methodology Variety of solved problem on ANOVA & RSM Case
studies of above mentioned intelligent techniques on the different
process control system This book can be used as a handbook and a
guide for students of all engineering disciplines, operational
research areas, computer applications, and for various
professionals who work in the optimization area.
Introduces the integration of technology with digital education
Explains the functional framework workflow in the Education of
Things and and networked learning Explores basic and high-level
concepts of teaching-learning pedagogy in IoT-based education
Covers the major challenges, issues, and advances in flipped and
blended learning based on IoT technologies Looks at digital
education pedagogy collaborations with organizations outside the
academy Explores teaching education and the process of assessment,
testing, and evaluation
IOT: Security and Privacy Paradigm covers the evolution of security
and privacy issues in the Internet of Things (IoT). It focuses on
bringing all security and privacy related technologies into one
source, so that students, researchers, and practitioners can refer
to this book for easy understanding of IoT security and privacy
issues. This edited book uses Security Engineering and
Privacy-by-Design principles to design a secure IoT ecosystem and
to implement cyber-security solutions. This book takes the readers
on a journey that begins with understanding the security issues in
IoT-enabled technologies and how it can be applied in various
aspects. It walks readers through engaging with security challenges
and builds a safe infrastructure for IoT devices. The book helps
readers gain an understand of security architecture through IoT and
describes the state of the art of IoT countermeasures. It also
differentiates security threats in IoT-enabled infrastructure from
traditional ad hoc or infrastructural networks, and provides a
comprehensive discussion on the security challenges and solutions
in RFID, WSNs, in IoT. This book aims to provide the concepts of
related technologies and novel findings of the researchers through
its chapter organization. The primary audience includes
specialists, researchers, graduate students, designers, experts and
engineers who are focused on research and security related issues.
Souvik Pal, PhD, has worked as Assistant Professor in Nalanda
Institute of Technology, Bhubaneswar, and JIS College of
Engineering, Kolkata (NAAC "A" Accredited College). He is the
organizing Chair and Plenary Speaker of RICE Conference in Vietnam;
and organizing co-convener of ICICIT, Tunisia. He has served in
many conferences as chair, keynote speaker, and he also chaired
international conference sessions and presented session talks
internationally. His research area includes Cloud Computing, Big
Data, Wireless Sensor Network (WSN), Internet of Things, and Data
Analytics. Vicente Garcia-Diaz, PhD, is an Associate Professor in
the Department of Computer Science at the University of Oviedo
(Languages and Computer Systems area). He is also the editor of
several special issues in prestigious journals such as Scientific
Programming and International Journal of Interactive Multimedia and
Artificial Intelligence. His research interests include eLearning,
machine learning and the use of domain specific languages in
different areas. Dac-Nhuong Le, PhD, is Deputy-Head of Faculty of
Information Technology, and Vice-Director of Information Technology
Apply and Foreign Language Training Center, Haiphong University,
Vietnam. His area of research includes: evaluation computing and
approximate algorithms, network communication, security and
vulnerability, network performance analysis and simulation, cloud
computing, IoT and image processing in biomedical. Presently, he is
serving on the editorial board of several international journals
and has authored nine computer science books published by Springer,
Wiley, CRC Press, Lambert Publication, and Scholar Press.
This volume brings together advanced concepts from leading academic
scientists, educationalists, administrative policymakers, and
researchers on their experiences and research results on many
aspects of digital educational methods and teaching practices. It
provides an interdisciplinary compilation of recent innovations,
trends, and concerns as well as the challenges encountered and
solutions adopted in the fields of digital pedagogies and
educational design. It is becoming increasingly important to
develop adaptive, robust, scalable, and digital teaching-learning
mechanisms in academics. This volume addresses this need by
discussing the advancements in flipped and blended learning,
student- and teacher-centric learning in technical institutes,
critical digital pedagogies, and the complex analyses and
collaborations with organizations outside the academy. This book
also deals with protocols for educational and administrative
policies, IoT-based teaching-learning methodology, teaching
education and the process of assessment, testing and evaluation,
integration of technology with digital education, and different
case study-based approaches in digital teaching-learning
methodology.
This book aims to bring together Researchers, Scientists,
Engineers, Scholars and Students in the areas of computer
engineering and information technology, and provides a forum for
the dissemination of original research results, new ideas, Research
and development, practical experiments, which concentrate on both
theory and practices, for the benefit of the society. The book also
provides a premier interdisciplinary platform for researchers,
practitioners and educators to present and discuss the most recent
innovations, trends, and concerns as well as practical challenges
encountered and solutions adopted in the fields of Computer Science
and Information Technology in the context of Distributed computing,
Big data, High performance computing, Internet-of-Things, and
digital pedagogy. It is becoming increasingly important to develop
adaptive, intelligent computing-centric, energy-aware, secure and
privacy-aware mechanisms in high performance computing and IoT
applications. This book aspires to convey researchers' experiences,
to present excellent result analysis, future scopes, and challenges
facing the field of computer science, information technology,
telecommunication, and digital pedagogy. This book aims to attract
researchers and practitioners who are working in Information
Technology and Computer Science. This book is about basics and high
level concepts regarding intelligent computing paradigm,
communications, and digital learning process. The book serves as a
useful guide for Undergraduates, Postgraduates and Research Scholar
in the field of Computer Science, Information Technology, and
Electronics Engineering. We believe that this volume not only
presents novel and interesting ideas but also will stimulate
interesting discussions from the participants and inspire new
ideas.
This book presents the most recent scientific and technological
advances in the fields of engineering mathematics and computational
science, to strengthen the links in the scientific community. It is
a collection of high-quality, peer-reviewed research papers
presented at the First International Conference on Mathematical
Modeling and Computational Science (ICMMCS 2020), held in Pattaya,
Thailand, during 14-15 August 2020. The topics covered in the book
are mathematical logic and foundations, numerical analysis, neural
networks, fuzzy set theory, coding theory, higher algebra, number
theory, graph theory and combinatory, computation in complex
networks, calculus, differential educations and integration,
application of soft computing, knowledge engineering, machine
learning, artificial intelligence, big data and data analytics,
high-performance computing, network and device security, and
Internet of things (IoT).
This book aims to bring together Researchers, Scientists,
Engineers, Scholars and Students in the areas of computer
engineering and information technology, and provides a forum for
the dissemination of original research results, new ideas, Research
and development, practical experiments, which concentrate on both
theory and practices, for the benefit of the society. The book also
provides a premier interdisciplinary platform for researchers,
practitioners and educators to present and discuss the most recent
innovations, trends, and concerns as well as practical challenges
encountered and solutions adopted in the fields of Computer Science
and Information Technology in the context of Distributed computing,
Big data, High performance computing, Internet-of-Things, and
digital pedagogy. It is becoming increasingly important to develop
adaptive, intelligent computing-centric, energy-aware, secure and
privacy-aware mechanisms in high performance computing and IoT
applications. This book aspires to convey researchers' experiences,
to present excellent result analysis, future scopes, and challenges
facing the field of computer science, information technology,
telecommunication, and digital pedagogy. This book aims to attract
researchers and practitioners who are working in Information
Technology and Computer Science. This book is about basics and high
level concepts regarding intelligent computing paradigm,
communications, and digital learning process. The book serves as a
useful guide for Undergraduates, Postgraduates and Research Scholar
in the field of Computer Science, Information Technology, and
Electronics Engineering. We believe that this volume not only
presents novel and interesting ideas but also will stimulate
interesting discussions from the participants and inspire new
ideas.
This book discusses the evolution of future-generation technologies
through the Internet of things, bringing together all the related
technologies on a single platform to offer valuable insights for
undergraduate and postgraduate students, researchers, academics and
industry practitioners. The book uses data, network engineering and
intelligent decision- support system-by-design principles to design
a reliable IoT-enabled ecosystem and to implement cyber-physical
pervasive infrastructure solutions. It takes readers on a journey
that begins with understanding the insight paradigm of IoT-enabled
technologies and how it can be applied. It walks readers through
engaging with real-time challenges and building a safe
infrastructure for IoT-based, future-generation technologies. The
book helps researchers and practitioners to understand the design
architecture through IoT and the state of the art in IoT
countermeasures. It also highlights the differences between
heterogeneous platforms in IoT-enabled infrastructure and
traditional ad hoc or infrastructural networks, and provides a
comprehensive discussion on functional frameworks for IoT, object
identification, IoT domain model, RFID technology, wearable
sensors, WBAN, IoT semantics, knowledge extraction, and security
and privacy issues in IoT-based ecosystems. Written by leading
international experts, it explores IoT-enabled insight paradigms,
which are utilized for the future benefit of humans. It also
includes references to numerous works. Divided into stand-alone
chapters, this highly readable book is intended for specialists,
researchers, graduate students, designers, experts, and engineers
involved in research on healthcare-related issues.
This book discusses fundamental and high-level concepts relating to
intelligent computing and communications in the context of
distributed computing, big data, high performance computing and the
Internet of Things. It is becoming increasingly important to
develop adaptive, intelligent, computing-centric, energy-aware,
secure and privacy-aware mechanisms in high-performance computing
and IoT applications. Serving as a useful guide for researchers and
practitioners working in the field of information technology and
computer science, the book also appeals to beginners wanting to
learn more about the better computing paradigm. In addition, it
provides a platform for researchers, engineers, academics and
industry professionals from around the globe to share their
research findings.
This book addresses major challenges faced by farmers and the
technological solutions based on Internet of Things (IoT). A major
challenge in agriculture is cultivating and supplying high-quality
produce at the best. Currently, around 50% of global farm produce
never reaches the end consumer due to wastage and suboptimal
prices. The book presents solutions that reduce the transport
costs, improve the predictability of prices based on data analytics
and the current market conditions, and reduce the number of middle
steps and agents between the farmer and the end consumer. It
discusses the design of an IoT-based monitoring system to analyze
crop environments and a method to improve the efficiency of
decision-making by analyzing harvest statistics. Further, it
explores climate-smart methods, known as smart agriculture, that
have been adopted by a number of Indian farmers.
This volume brings together advanced concepts from leading academic
scientists, educationalists, administrative policymakers, and
researchers on their experiences and research results on many
aspects of digital educational methods and teaching practices. It
provides an interdisciplinary compilation of recent innovations,
trends, and concerns as well as the challenges encountered and
solutions adopted in the fields of digital pedagogies and
educational design. It is becoming increasingly important to
develop adaptive, robust, scalable, and digital teaching-learning
mechanisms in academics. This volume addresses this need by
discussing the advancements in flipped and blended learning,
student- and teacher-centric learning in technical institutes,
critical digital pedagogies, and the complex analyses and
collaborations with organizations outside the academy. This book
also deals with protocols for educational and administrative
policies, IoT-based teaching-learning methodology, teaching
education and the process of assessment, testing and evaluation,
integration of technology with digital education, and different
case study-based approaches in digital teaching-learning
methodology.
IOT: Security and Privacy Paradigm covers the evolution of security
and privacy issues in the Internet of Things (IoT). It focuses on
bringing all security and privacy related technologies into one
source, so that students, researchers, and practitioners can refer
to this book for easy understanding of IoT security and privacy
issues. This edited book uses Security Engineering and
Privacy-by-Design principles to design a secure IoT ecosystem and
to implement cyber-security solutions. This book takes the readers
on a journey that begins with understanding the security issues in
IoT-enabled technologies and how it can be applied in various
aspects. It walks readers through engaging with security challenges
and builds a safe infrastructure for IoT devices. The book helps
readers gain an understand of security architecture through IoT and
describes the state of the art of IoT countermeasures. It also
differentiates security threats in IoT-enabled infrastructure from
traditional ad hoc or infrastructural networks, and provides a
comprehensive discussion on the security challenges and solutions
in RFID, WSNs, in IoT. This book aims to provide the concepts of
related technologies and novel findings of the researchers through
its chapter organization. The primary audience includes
specialists, researchers, graduate students, designers, experts and
engineers who are focused on research and security related issues.
Souvik Pal, PhD, has worked as Assistant Professor in Nalanda
Institute of Technology, Bhubaneswar, and JIS College of
Engineering, Kolkata (NAAC "A" Accredited College). He is the
organizing Chair and Plenary Speaker of RICE Conference in Vietnam;
and organizing co-convener of ICICIT, Tunisia. He has served in
many conferences as chair, keynote speaker, and he also chaired
international conference sessions and presented session talks
internationally. His research area includes Cloud Computing, Big
Data, Wireless Sensor Network (WSN), Internet of Things, and Data
Analytics. Vicente Garcia-Diaz, PhD, is an Associate Professor in
the Department of Computer Science at the University of Oviedo
(Languages and Computer Systems area). He is also the editor of
several special issues in prestigious journals such as Scientific
Programming and International Journal of Interactive Multimedia and
Artificial Intelligence. His research interests include eLearning,
machine learning and the use of domain specific languages in
different areas. Dac-Nhuong Le, PhD, is Deputy-Head of Faculty of
Information Technology, and Vice-Director of Information Technology
Apply and Foreign Language Training Center, Haiphong University,
Vietnam. His area of research includes: evaluation computing and
approximate algorithms, network communication, security and
vulnerability, network performance analysis and simulation, cloud
computing, IoT and image processing in biomedical. Presently, he is
serving on the editorial board of several international journals
and has authored nine computer science books published by Springer,
Wiley, CRC Press, Lambert Publication, and Scholar Press.
This book discusses fundamental and high-level concepts relating to
intelligent computing and communications in the context of
distributed computing, big data, high performance computing and the
Internet of Things. It is becoming increasingly important to
develop adaptive, intelligent, computing-centric, energy-aware,
secure and privacy-aware mechanisms in high-performance computing
and IoT applications. Serving as a useful guide for researchers and
practitioners working in the field of information technology and
computer science, the book also appeals to beginners wanting to
learn more about the better computing paradigm. In addition, it
provides a platform for researchers, engineers, academics and
industry professionals from around the globe to share their
research findings.
This book discusses the evolution of future-generation technologies
through the Internet of things, bringing together all the related
technologies on a single platform to offer valuable insights for
undergraduate and postgraduate students, researchers, academics and
industry practitioners. The book uses data, network engineering and
intelligent decision- support system-by-design principles to design
a reliable IoT-enabled ecosystem and to implement cyber-physical
pervasive infrastructure solutions. It takes readers on a journey
that begins with understanding the insight paradigm of IoT-enabled
technologies and how it can be applied. It walks readers through
engaging with real-time challenges and building a safe
infrastructure for IoT-based, future-generation technologies. The
book helps researchers and practitioners to understand the design
architecture through IoT and the state of the art in IoT
countermeasures. It also highlights the differences between
heterogeneous platforms in IoT-enabled infrastructure and
traditional ad hoc or infrastructural networks, and provides a
comprehensive discussion on functional frameworks for IoT, object
identification, IoT domain model, RFID technology, wearable
sensors, WBAN, IoT semantics, knowledge extraction, and security
and privacy issues in IoT-based ecosystems. Written by leading
international experts, it explores IoT-enabled insight paradigms,
which are utilized for the future benefit of humans. It also
includes references to numerous works. Divided into stand-alone
chapters, this highly readable book is intended for specialists,
researchers, graduate students, designers, experts, and engineers
involved in research on healthcare-related issues.
This book addresses major challenges faced by farmers and the
technological solutions based on Internet of Things (IoT). A major
challenge in agriculture is cultivating and supplying high-quality
produce at the best. Currently, around 50% of global farm produce
never reaches the end consumer due to wastage and suboptimal
prices. The book presents solutions that reduce the transport
costs, improve the predictability of prices based on data analytics
and the current market conditions, and reduce the number of middle
steps and agents between the farmer and the end consumer. It
discusses the design of an IoT-based monitoring system to analyze
crop environments and a method to improve the efficiency of
decision-making by analyzing harvest statistics. Further, it
explores climate-smart methods, known as smart agriculture, that
have been adopted by a number of Indian farmers.
CLOUD COMPUTING SOLUTIONS The main purpose of this book is to
include all the cloud-related technologies in a single platform, so
that researchers, academicians, postgraduate students, and those in
the industry can easily understand the cloud-based ecosystems. This
book discusses the evolution of cloud computing through grid
computing and cluster computing. It will help researchers and
practitioners to understand grid and distributed computing cloud
infrastructure, virtual machines, virtualization, live migration,
scheduling techniques, auditing concept, security and privacy,
business models, and case studies through the state-of-the-art
cloud computing countermeasures. This book covers the spectrum of
cloud computing-related technologies and the wide-ranging contents
will differentiate this book from others. The topics treated in the
book include: The evolution of cloud computing from grid computing,
cluster computing, and distributed systems; Covers cloud computing
and virtualization environments; Discusses live migration,
database, auditing, and applications as part of the materials
related to cloud computing; Provides concepts of cloud storage,
cloud strategy planning, and management, cloud security, and
privacy issues; Explains complex concepts clearly and covers
information for advanced users and beginners. Audience The primary
audience for the book includes IT, computer science specialists,
researchers, graduate students, designers, experts, and engineers
who are occupied with research.
The book discusses one of the major challenges in agriculture which
is delivery of cultivate produce to the end consumers with best
possible price and quality. Currently all over the world, it is
found that around 50% of the farm produce never reaches the end
consumer due to wastage and suboptimal prices. The authors present
solutions to reduce the transport cost, predictability of prices on
the past data analytics and the current market conditions, and
number of middle hops and agents between the farmer and the end
consumer using IoT-based solutions. Again, the demand by
consumption of agricultural products could be predicted
quantitatively; however, the variation of harvest and production by
the change of farm's cultivated area, weather change, disease and
insect damage, etc., could be difficult to be predicted, so that
the supply and demand of agricultural products has not been
controlled properly. To overcome, this edited book designed the
IoT-based monitoring system to analyze crop environment and the
method to improve the efficiency of decision making by analyzing
harvest statistics. The book is also useful for academicians
working in the areas of climate changes.
The book discusses the evolution of future generation technologies
through Internet of Things (IoT) in the scope of Artificial
Intelligence (AI). The main focus of this volume is to bring all
the related technologies in a single platform, so that
undergraduate and postgraduate students, researchers, academicians,
and industry people can easily understand the AI algorithms,
machine learning algorithms, and learning analytics in IoT-enabled
technologies. This book uses data and network engineering and
intelligent decision support system-by-design principles to design
a reliable AI-enabled IoT ecosystem and to implement cyber-physical
pervasive infrastructure solutions. This book brings together some
of the top IoT-enabled AI experts throughout the world who
contribute their knowledge regarding different IoT-based technology
aspects.
The book discusses one of the major challenges in agriculture which
is delivery of cultivate produce to the end consumers with best
possible price and quality. Currently all over the world, it is
found that around 50% of the farm produce never reaches the end
consumer due to wastage and suboptimal prices. The authors present
solutions to reduce the transport cost, predictability of prices on
the past data analytics and the current market conditions, and
number of middle hops and agents between the farmer and the end
consumer using IoT-based solutions. Again, the demand by
consumption of agricultural products could be predicted
quantitatively; however, the variation of harvest and production by
the change of farm's cultivated area, weather change, disease and
insect damage, etc., could be difficult to be predicted, so that
the supply and demand of agricultural products has not been
controlled properly. To overcome, this edited book designed the
IoT-based monitoring system to analyze crop environment and the
method to improve the efficiency of decision making by analyzing
harvest statistics. The book is also useful for academicians
working in the areas of climate changes.
The conference proceeding of ICMMCS 2021 presents most recent
scientific and technological advances in the fields of engineering
mathematics and computational science to strengthen the links in
the scientific community. It is a collection of high-quality,
peer-reviewed research papers presented at the Second International
Conference on Mathematical Modeling and Computational Science
(ICMMCS 2021), held online during October 29-30, 2021. The topics
covered in the book are mathematical logic and foundations,
numerical analysis, neural networks, fuzzy set theory, coding
theory, higher algebra, number theory, graph theory and
combinatory, computation in complex networks, calculus,
differential educations and integration, application of soft
computing, knowledge engineering, machine learning, artificial
intelligence, big data and data analytics, high-performance
computing, network and device security, Internet of Things (IoT).
This book includes high-quality research papers presented at the
1st International Conference on Wireless Sensor Networks,
Ubiquitous Computing and Applications (ICWSNUCA, 2021), which is
held at Gokaraju Rangaraju Institute of Engineering and Technology,
Hyderabad, India, during 26-27 February, 2021. This volume focuses
on the applications, use-cases, architectures, deployments, and
recent advances of wireless sensor networks as well as ubiquious
computing. Different research topics are illustrated in this book,
like wireless sensor networks for the Internet of Things; IoT
applications for eHealth; smart cities; architectures for WSNs and
IoT, WSNs hardware and new devices; low-power wireless
technologies; wireless ad hoc sensor networks; routing and data
transfer in WSNs; multicast communication in WSNs; security
management in WSNs and in IoT systems; and power consumption
optimization in WSNs.
Health Care Paradigms in the Internet of Things Ecosystem brings
all IoT-enabled health care related technologies into a single
platform so that undergraduate and postgraduate students,
researchers, academicians and industry leaders can easily
understand IoT-based healthcare systems. The book uses data and
network engineering and intelligent decision support
system-by-design principles to design a reliable IoT-enabled health
care ecosystem and to implement cyber-physical pervasive
infrastructure solutions. It takes the reader on a journey that
begins with understanding the healthcare monitoring paradigm in
IoT-enabled technologies and how it can be applied in various
aspects. In addition, the book walks readers through real-time
challenges and presents a guide on how to build a safe
infrastructure for IoT-based health care. It also helps researchers
and practitioners understand the e-health care architecture through
IoT and the state-of-the-art in IoT countermeasures. Readers will
find this to be a comprehensive discussion on functional frameworks
for IoT-based healthcare systems, intelligent medicine, RFID
technology, HMI, Cognitive Interpretation, Brain-Computer
Interface, Remote Health Monitoring systems, wearable sensors,
WBAN, and security and privacy issues in IoT-based health care
monitoring systems.
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