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Generic and Energy-Efficient Context-Aware Mobile Sensing.

By: Contributor(s): Material type: TextTextPublisher: Milton : Taylor & Francis Group, 2015Copyright date: ©2015Edition: 1st edDescription: 1 online resource (219 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781498700115
Subject(s): Genre/Form: Additional physical formats: Print version:: Generic and Energy-Efficient Context-Aware Mobile SensingDDC classification:
  • 005.25
LOC classification:
  • TK5102.86 -- .Y878 2015eb
Online resources:
Contents:
Front Cover -- Dedication -- Contents -- Preface -- Authors -- Introduction -- Chapter 1 - Context Awareness for Mobile Sensing -- Chapter 2 - Context Inference: Posture Detection -- Chapter 3 - Context-Aware Framework: A Basic Design -- Chapter 4 - Energy Efficiency in Physical Hardware -- Chapter 5 - Context-Aware Framework: A Complex Design -- Chapter 6 - Probabilistic Context Modeling -- Appendix -- References -- Back Cover.
Summary: This book 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. It provides numerous application examples that 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 promotes the development of modeling and analysis skills for context awareness on resource-constrained mobile platforms.
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Front Cover -- Dedication -- Contents -- Preface -- Authors -- Introduction -- Chapter 1 - Context Awareness for Mobile Sensing -- Chapter 2 - Context Inference: Posture Detection -- Chapter 3 - Context-Aware Framework: A Basic Design -- Chapter 4 - Energy Efficiency in Physical Hardware -- Chapter 5 - Context-Aware Framework: A Complex Design -- Chapter 6 - Probabilistic Context Modeling -- Appendix -- References -- Back Cover.

This book 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. It provides numerous application examples that 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 promotes the development of modeling and analysis skills for context awareness on resource-constrained mobile platforms.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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