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This book offers a transdisciplinary perspective on the concept of
"smart villages" Written by an authoritative group of scholars, it
discusses various aspects that are essential to fostering the
development of successful smart villages. Presenting cutting-edge
technologies, such as big data and the Internet-of-Things, and
showing how they have been successfully applied to promote rural
development, it also addresses important policy and sustainability
issues. As such, this book offers a timely snapshot of the
state-of-the-art in smart village research and practice.
This book offers a transdisciplinary perspective on the concept of
"smart villages" Written by an authoritative group of scholars, it
discusses various aspects that are essential to fostering the
development of successful smart villages. Presenting cutting-edge
technologies, such as big data and the Internet-of-Things, and
showing how they have been successfully applied to promote rural
development, it also addresses important policy and sustainability
issues. As such, this book offers a timely snapshot of the
state-of-the-art in smart village research and practice.
"Smart City" programs and strategies have become one of the most
dominant urban agendas for local governments worldwide in the past
two decades. The rapid urbanization rate and unprecedented growth
of megacities in the 21st century triggered drastic changes in
traditional ways of urban policy and planning, leading to an influx
of digital technology applications for fast and efficient urban
management. With the rising popularity in making our cities
"smart", several domains of urban management, urban infrastructure,
and urban quality-of-life have seen increasing dependence on
advanced information and communication technologies (ICTs) that
optimize and control the day-to-day functioning of urban systems.
Smart Cities, essentially, act as digital networks that obtain
large-scale real-time data on urban systems, process them, and make
decisions on how to manage them efficiently. The book presents 26
chapters, which are organized around five topics: (1) Conceptual
framework for smart cities and communities; (2) Technical concepts
and models for smart city and communities; (3) Civic engagement and
citizen participation; (4) Case studies from the Global North; and
(5) Case studies from the Global South.
“Smart City” programs and strategies have become one of the
most dominant urban agendas for local governments worldwide in the
past two decades. The rapid urbanization rate and unprecedented
growth of megacities in the 21st century triggered drastic changes
in traditional ways of urban policy and planning, leading to an
influx of digital technology applications for fast and efficient
urban management. With the rising popularity in making our cities
“smart”, several domains of urban management, urban
infrastructure, and urban quality-of-life have seen increasing
dependence on advanced information and communication technologies
(ICTs) that optimize and control the day-to-day functioning of
urban systems. Smart Cities, essentially, act as digital networks
that obtain large-scale real-time data on urban systems, process
them, and make decisions on how to manage them efficiently. The
book presents 26 chapters, which are organized around five topics:
(1) Conceptual framework for smart cities and communities; (2)
Technical concepts and models for smart city and communities; (3)
Civic engagement and citizen participation; (4) Case studies from
the Global North; and (5) Case studies from the Global South.
Differential geometry and topology are essential tools for many
theoretical physicists, particularly in the study of condensed
matter physics, gravity, and particle physics. Written by
physicists for physics students, this text introduces geometrical
and topological methods in theoretical physics and applied
mathematics. It assumes no detailed background in topology or
geometry, and it emphasizes physical motivations, enabling students
to apply the techniques to their physics formulas and research.
"Thoroughly recommended" by "The Physics Bulletin, " this volume's
physics applications range from condensed matter physics and
statistical mechanics to elementary particle theory. Its main
mathematical topics include differential forms, homotopy, homology,
cohomology, fiber bundles, connection and covariant derivatives,
and Morse theory.
The book will be of interest to students, teachers and all those
who want to understand and use mathematics.
The book will be of interest to students, teachers and all those
who want to understand and use mathematics Starting from counting
numbers, key concepts are developed in a step by step easy to
follow way.
Kolkata, urbanism, architecture, urban planning, history
The book explains concepts and ideas of mathematics and physics
that are relevant for advanced students and researchers of
condensed matter physics. With this aim, a brief intuitive
introduction to many-body theory is given as a powerful qualitative
tool for understanding complex systems. The important emergent
concept of a quasiparticle is then introduced as a way to reduce a
many-body problem to a single particle quantum problem. Examples of
quasiparticles in graphene, superconductors, superfluids and in a
topological insulator on a superconductor are discussed.The
mathematical idea of self-adjoint extension, which allows short
distance information to be included in an effective long distance
theory through boundary conditions, is introduced through simple
examples and then applied extensively to analyse and predict new
physical consequences for graphene.The mathematical discipline of
topology is introduced in an intuitive way and is then combined
with the methods of differential geometry to show how the emergence
of gapless states can be understood. Practical ways of carrying out
topological calculations are described.
This 2006 textbook provides a concise introduction to the key
concepts and tools of statistical mechanics. It also covers
advanced topics such as non-relativistic quantum field theory and
numerical methods. After introducing classical analytical
techniques, such as cluster expansion and Landau theory, the
authors present important numerical methods with applications to
magnetic systems, Lennard-Jones fluids and biophysics. Quantum
statistical mechanics is discussed in detail and applied to
Bose-Einstein condensation and topics in astrophysics and
cosmology. In order to describe emergent phenomena in interacting
quantum systems, canonical non-relativistic quantum field theory is
introduced and then reformulated in terms of Feynman integrals.
Combining the authors' many years' experience of teaching courses
in this area, this textbook is ideal for advanced undergraduate and
graduate students in physics, chemistry and mathematics.
This textbook provides a concise introduction to the key concepts
and tools of modern statistical mechanics. It also covers advanced
topics such as non-relativistic quantum field theory and numerical
methods. After introducing classical analytical techniques, such as
cluster expansion and Landau theory, the authors present important
numerical methods with applications to magnetic systems,
Lennard-Jones fluids and biophysics. Quantum statistical mechanics
is discussed in detail and applied to Bose-Einstein condensation
and topics in astrophysics and cosmology. In order to describe
emergent phenomena in interacting quantum systems, canonical
non-relativistic quantum field theory is introduced and then
reformulated in terms of Feynman integrals. Combining the authors'
many years' experience of teaching courses in this area, this
textbook is ideal for advanced undergraduate and graduate students
in physics, chemistry and mathematics.
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