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Generic and Energy-Efficient Context-Aware Mobile Sensing (Hardcover)
Loot Price: R4,157
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Generic and Energy-Efficient Context-Aware Mobile Sensing (Hardcover)
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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
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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