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This book provides comprehensive discussion on key topics related
to the usage and deployment of AI in urban transportation systems
including drones. The book presents intelligent solutions to
overcome the challenges of static approaches in the transportation
sector to make them intelligent, adaptive, agile, and flexible. The
book showcases different AI-deployment models, algorithms, and
implementations related to intelligent cyber physical systems (CPS)
along with their pros and cons. Even more, this book provides deep
insights into the CPS specifically about the layered architecture
and different planes, interfaces, and programmable network
operations. The deployment models for AI-based CPS are also
included with an aim towards the design of interoperable and
intelligent CPS architectures by researchers in future. The authors
present hands on practical implementations, deployment scenarios,
and use cases related to different transportation scenarios. In the
end, the design and research challenges, open issues, and future
research directions are provided.
This book provides comprehensive discussion on key topics related
to the usage and deployment of software defined networks (SDN) in
Internet of Everything applications like, healthcare systems, data
centers, edge/fog computing, vehicular networks, intelligent
transportation systems, smart grids, smart cities and more. The
authors provide diverse solutions to overcome challenges of
conventional network binding in various Internet of Everything
applications where there is need of an adaptive, agile, and
flexible network backbone. The book showcases different deployment
models, algorithms and implementations related to the usage of SDN
in Internet of Everything applications along with the pros and cons
of the same. Even more, this book provides deep insights into the
architecture of software defined networking specifically about the
layered architecture and different network planes, logical
interfaces, and programmable operations. The need of network
virtualization and the deployment models for network function
virtualization is also included with an aim towards the design of
interoperable network architectures by researchers in future.
Uniquely, the authors find hands on practical implementation,
deployment scenarios and use cases for various software defined
networking architectures in Internet of Everything applications
like healthcare networks, Internet of Things, intelligent
transportation systems, smart grid, underwater acoustic networks
and many more. In the end, design and research challenges, open
issues, and future research directions are provided in this book
for a wide range of readers
This book provides comprehensive discussion on key topics related
to the usage and deployment of software defined networks (SDN) in
Internet of Everything applications like, healthcare systems, data
centers, edge/fog computing, vehicular networks, intelligent
transportation systems, smart grids, smart cities and more. The
authors provide diverse solutions to overcome challenges of
conventional network binding in various Internet of Everything
applications where there is need of an adaptive, agile, and
flexible network backbone. The book showcases different deployment
models, algorithms and implementations related to the usage of SDN
in Internet of Everything applications along with the pros and cons
of the same. Even more, this book provides deep insights into the
architecture of software defined networking specifically about the
layered architecture and different network planes, logical
interfaces, and programmable operations. The need of network
virtualization and the deployment models for network function
virtualization is also included with an aim towards the design of
interoperable network architectures by researchers in future.
Uniquely, the authors find hands on practical implementation,
deployment scenarios and use cases for various software defined
networking architectures in Internet of Everything applications
like healthcare networks, Internet of Things, intelligent
transportation systems, smart grid, underwater acoustic networks
and many more. In the end, design and research challenges, open
issues, and future research directions are provided in this book
for a wide range of readers
Communication based on the internet of things (IoT) generates huge
amounts of data from sensors over time, which opens a wide range of
applications and areas for researchers. The application of
analytics, machine learning, and deep learning techniques over such
a large volume of data is a very challenging task. Therefore, it is
essential to find patterns, retrieve novel insights, and predict
future behavior using this large amount of sensory data. Artificial
intelligence (AI) has an important role in facilitating analytics
and learning in the IoT devices. Applying AI-Based IoT Systems to
Simulation-Based Information Retrieval provides relevant frameworks
and the latest empirical research findings in the area. It is ideal
for professionals who wish to improve their understanding of the
strategic role of trust at different levels of the information and
knowledge society and trust at the levels of the global economy,
networks and organizations, teams and work groups, information
systems, and individuals as actors in the networked environments.
Covering topics such as blockchain visualization, computer-aided
drug discovery, and health monitoring, this premier reference
source is an excellent resource for business leaders and
executives, IT managers, security professionals, data scientists,
students and faculty of higher education, librarians, hospital
administrators, researchers, and academicians.
Communication based on the internet of things (IoT) generates huge
amounts of data from sensors over time, which opens a wide range of
applications and areas for researchers. The application of
analytics, machine learning, and deep learning techniques over such
a large volume of data is a very challenging task. Therefore, it is
essential to find patterns, retrieve novel insights, and predict
future behavior using this large amount of sensory data. Artificial
intelligence (AI) has an important role in facilitating analytics
and learning in the IoT devices. Applying AI-Based IoT Systems to
Simulation-Based Information Retrieval provides relevant frameworks
and the latest empirical research findings in the area. It is ideal
for professionals who wish to improve their understanding of the
strategic role of trust at different levels of the information and
knowledge society and trust at the levels of the global economy,
networks and organizations, teams and work groups, information
systems, and individuals as actors in the networked environments.
Covering topics such as blockchain visualization, computer-aided
drug discovery, and health monitoring, this premier reference
source is an excellent resource for business leaders and
executives, IT managers, security professionals, data scientists,
students and faculty of higher education, librarians, hospital
administrators, researchers, and academicians.
The book talks about the four major Credit Rating Agencies in India
including CRISIL, ICRA, CARE and FITCH. It gives a detailed
information regarding operations undertaken by these rating
agencies. The regulatory environment affecting the credit rating
activities in India has been discussed in the book. The methodology
adopted by Credit Rating Agencies while rating and variability in
rating over the period has also been analysed in the book. The book
evaluates the post rating performance of various companies rated by
the given rating agencies. In addition the perceptions of investors
regarding credit rating practices in India has also been covered in
the book.
In the past 50 years, our understanding of the origin and evolution
of the Solar System has grown exponentially, in large part due to
the availability of meteorites and the success of sample return
missions. This book contains fourteen papers, each led by a team of
expert scientists, which review our present understanding of Solar
System formation and evolution through sample analysis.The chapters
are structured around three main themes: (i) initial conditions and
workings of the Solar System; (ii) planetary habitats; and (iii)
sample curation. Through these themes, the volume presents the
outstanding scientific questions to be addressed through future
missions, identifies specific target bodies to be studied, and
evaluates relevant sample curation facilities. In all, the book is
intended to assist in formulating a viable strategy for planning
future sample return missions.Previously published in Space Science
Reviews in the Topical Collection "Role of Sample Return in
Addressing Major Questions in Planetary Sciences"
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