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Elaborating on the concept of context awareness, this book presents
up-to-date research and novel framework designs for context-aware
mobile sensing. Generic and Energy-Efficient Context-Aware Mobile
Sensing proposes novel context-inferring algorithms and generic
framework designs that can help readers enhance existing tradeoffs
in mobile sensing, especially between accuracy and power
consumption. The book presents solutions that emphasize must-have
system characteristics such as energy efficiency, accuracy,
robustness, adaptability, time-invariance, and optimal sensor
sensing. Numerous application examples guide readers from
fundamental concepts to the implementation of context-aware-related
algorithms and frameworks. Covering theory and practical strategies
for context awareness in mobile sensing, the book will help readers
develop the modeling and analysis skills required to build
futuristic context-aware framework designs for resource-constrained
platforms. Includes best practices for designing and implementing
practical context-aware frameworks in ubiquitous/mobile sensing
Proposes a lightweight online classification method to detect
user-centric postural actions Examines mobile device-based battery
modeling under the scope of battery nonlinearities with respect to
variant loads Unveils a novel discrete time inhomogeneous hidden
semi-Markov model (DT-IHS-MM)-based generic framework to achieve a
better realization of HAR-based mobile context awareness Supplying
theory and equation derivations for all the concepts discussed, the
book includes design tips for the implementation of smartphone
programming as well as pointers on how to make the best use of
MATLABĀ® for the presentation of performance analysis. Coverage
includes lightweight, online, and unsupervised pattern recognition
methods; adaptive, time-variant, and optimal sensory sampling
strategies; and energy-efficient, robust, and inhomogeneous
context-aware framework designs. Researchers will learn the latest
modeling and analysis research on mobile sensing. Students will
gain access to accessible reference material on mobile sensing
theory and practice. Engineers will gain authoritative insights
into cutting-edge system designs.
The arrival of the digital age has created the need to be able to
store, manage, and digitally use an ever-increasing amount of video
and audio material. Thus, video cataloguing has emerged as a
requirement of the times. Video Cataloguing: Structure Parsing and
Content Extraction explains how to efficiently perform video
structure analysis as well as extract the basic semantic contents
for video summarization, which is essential for handling
large-scale video data. This book addresses the issues of video
cataloguing, including video structure parsing and basic semantic
word extraction, particularly for movie and teleplay videos. It
starts by providing readers with a fundamental understanding of
video structure parsing. It examines video shot boundary detection,
recent research on video scene detection, and basic ideas for
semantic word extraction, including video text recognition, scene
recognition, and character identification. The book lists and
introduces some of the most commonly used features in video
analysis. It introduces and analyzes the most popular shot boundary
detection methods and also presents recent research on movie scene
detection as another important and critical step for video
cataloguing, video indexing, and retrieval. The authors propose a
robust movie scene recognition approach based on a panoramic frame
and representative feature patch. They describe how to recognize
characters in movies and TV series accurately and efficiently as
well as how to use these character names as cataloguing items for
an intelligent catalogue. The book proposes an interesting
application of highlight extraction in basketball videos and
concludes by demonstrating how to design and implement a prototype
system of automatic movie and teleplay cataloguing (AMTC) based on
the approaches introduced in the book.
Compared with conventional communications, cooperative
communication allows multiple users in a wireless network to
coordinate their packet transmissions and share each other's
resources, thus achieving high-performance gain and better service
coverage and reliability. Energy Efficient Cooperative Wireless
Communication and Networks provides a comprehensive look at energy
efficiency and system design of cooperative wireless communication.
Introducing effective cooperative wireless communication schemes,
the book supplies the understanding and methods required to improve
energy efficiency, reliability, and end-to-end protocol designs for
wireless communication systems. It explains the practical benefits
and limitations of cooperative transmissions along with the
associated designs of upper-layer protocols, including MAC,
routing, and transport protocol. The book considers power
efficiency as a main objective in cooperative communication to
ensure quality-of-service (QoS) requirements. It explains how to
bring the performance gain at the physical layer up to the network
layer and how to allocate network resources dynamically through
MAC/scheduling and routing to trade off the performance benefits of
given transmissions against network costs. Because the techniques
detailed in each chapter can help readers achieve energy efficiency
and reliability in wireless networks, they have the potential to
impact a range of industry areas, including wireless communication,
wireless sensor networks, and ad hoc networks. The book includes
numerous examples, best practices, and models that capture key
issues in real-world applications. Along with algorithms and tips
for effective design, the book supplies the understanding you will
need to achieve high-performing and energy efficient wireless
networks with improved service coverage and reliability.
The arrival of the digital age has created the need to be able to
store, manage, and digitally use an ever-increasing amount of video
and audio material. Thus, video cataloguing has emerged as a
requirement of the times. Video Cataloguing: Structure Parsing and
Content Extraction explains how to efficiently perform video
structure analysis as well as extract the basic semantic contents
for video summarization, which is essential for handling
large-scale video data. This book addresses the issues of video
cataloguing, including video structure parsing and basic semantic
word extraction, particularly for movie and teleplay videos. It
starts by providing readers with a fundamental understanding of
video structure parsing. It examines video shot boundary detection,
recent research on video scene detection, and basic ideas for
semantic word extraction, including video text recognition, scene
recognition, and character identification. The book lists and
introduces some of the most commonly used features in video
analysis. It introduces and analyzes the most popular shot boundary
detection methods and also presents recent research on movie scene
detection as another important and critical step for video
cataloguing, video indexing, and retrieval. The authors propose a
robust movie scene recognition approach based on a panoramic frame
and representative feature patch. They describe how to recognize
characters in movies and TV series accurately and efficiently as
well as how to use these character names as cataloguing items for
an intelligent catalogue. The book proposes an interesting
application of highlight extraction in basketball videos and
concludes by demonstrating how to design and implement a prototype
system of automatic movie and teleplay cataloguing (AMTC) based on
the approaches introduced in the book.
Compared with conventional communications, cooperative
communication allows multiple users in a wireless network to
coordinate their packet transmissions and share each other's
resources, thus achieving high-performance gain and better service
coverage and reliability. Energy Efficient Cooperative Wireless
Communication and Networks provides a comprehensive look at energy
efficiency and system design of cooperative wireless communication.
Introducing effective cooperative wireless communication schemes,
the book supplies the understanding and methods required to improve
energy efficiency, reliability, and end-to-end protocol designs for
wireless communication systems. It explains the practical benefits
and limitations of cooperative transmissions along with the
associated designs of upper-layer protocols, including MAC,
routing, and transport protocol. The book considers power
efficiency as a main objective in cooperative communication to
ensure quality-of-service (QoS) requirements. It explains how to
bring the performance gain at the physical layer up to the network
layer and how to allocate network resources dynamically through
MAC/scheduling and routing to trade off the performance benefits of
given transmissions against network costs. Because the techniques
detailed in each chapter can help readers achieve energy efficiency
and reliability in wireless networks, they have the potential to
impact a range of industry areas, including wireless communication,
wireless sensor networks, and ad hoc networks. The book includes
numerous examples, best practices, and models that capture key
issues in real-world applications. Along with algorithms and tips
for effective design, the book supplies the understanding you will
need to achieve high-performing and energy efficient wireless
networks with improved service coverage and reliability.
Cyber Physical Systems: Architectures, Protocols and Applications
helps you understand the basic principles and key supporting
standards of CPS. It analyzes different CPS applications from the
bottom up, extracting the common characters that form a vertical
structure. It presents mobile sensing platforms and their
applications toward interrelated paradigms, highlighting and
briefly discussing different types of mobile sensing platforms and
the functionalities they offer. It then looks at the naming,
addressing, and profile services of CPS and proposes a middleware
component to meet the requirements of dynamic applications and
sensors/actuators deployment/configurations across different
platforms. The middle chapters of the book present a context-aware
sensor search, selection, and ranking model which addresses the
challenge of efficiently selecting a subset of relevant sensors out
of a large set of sensors with similar functionality and
capabilities. The authors consider various topics in the energy
management of CPS and propose a novel energy-efficient framework.
They also present the fundamental networking technologies of CPS
and focus on machine-to-machine communications for CPS,
specifically the open technologies such as IPv6-based solutions
that can be integrated into IoT and enable wireless sensor
communications. In the book's final chapters, the authors bring you
up to date on mobile cloud computing (MCC) research activities that
enhance the capabilities of resource-constrained smart devices in
CPS sensory environments. They also present a few representative
CPS applications, including connected healthcare, gaming in public
transport crowds, and a series of MCC-enabled emerging CPS
applications. You will find that these application fields fully
demonstrate the great potential of applying CPS in public life.
Elaborating on the concept of context awareness, this book presents
up-to-date research and novel framework designs for context-aware
mobile sensing. Generic and Energy-Efficient Context-Aware Mobile
Sensing proposes novel context-inferring algorithms and generic
framework designs that can help readers enhance existing tradeoffs
in mobile sensing, especially between accuracy and power
consumption. The book presents solutions that emphasize must-have
system characteristics such as energy efficiency, accuracy,
robustness, adaptability, time-invariance, and optimal sensor
sensing. Numerous application examples guide readers from
fundamental concepts to the implementation of context-aware-related
algorithms and frameworks. Covering theory and practical strategies
for context awareness in mobile sensing, the book will help readers
develop the modeling and analysis skills required to build
futuristic context-aware framework designs for resource-constrained
platforms. Includes best practices for designing and implementing
practical context-aware frameworks in ubiquitous/mobile sensing
Proposes a lightweight online classification method to detect
user-centric postural actions Examines mobile device-based battery
modeling under the scope of battery nonlinearities with respect to
variant loads Unveils a novel discrete time inhomogeneous hidden
semi-Markov model (DT-IHS-MM)-based generic framework to achieve a
better realization of HAR-based mobile context awareness Supplying
theory and equation derivations for all the concepts discussed, the
book includes design tips for the implementation of smartphone
programming as well as pointers on how to make the best use of
MATLAB (R) for the presentation of performance analysis. Coverage
includes lightweight, online, and unsupervised pattern recognition
methods; adaptive, time-variant, and optimal sensory sampling
strategies; and energy-efficient, robust, and inhomogeneous
context-aware framework designs. Researchers will learn the latest
modeling and analysis research on mobile sensing. Students will
gain access to accessible reference material on mobile sensing
theory and practice. Engineers will gain authoritative insights
into cutting-edge system designs.
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