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Mobile Context Awareness

Overview of attention for book
Cover of 'Mobile Context Awareness'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Modeling Success, Failure, and Intent of Multi-Agent Activities Under Severe Noise
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    Chapter 3 Energy-Accuracy Trade-offs of Sensor Sampling in Smart Phone Based Sensing Systems
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    Chapter 4 Acceleration Noise Correction for Transfer Inference Using Accelerometers on Mobile Devices
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    Chapter 5 Mobile Sensing of User’s Motion and Position Context for Automatic Check-in Suggestion and Validation
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    Chapter 6 The Case for Context-Aware Resources Management in Mobile Operating Systems
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    Chapter 7 A Scalable Sensor Middleware for Social End-User Programming
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    Chapter 8 Mobile Context-Aware Support for Public Transportation Users
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    Chapter 9 Quality Sensitive Web Service Profiling and Discovery: In Support of Mobile and Pervasive Applications
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    Chapter 10 A Middleware Supporting Adaptive and Context-Aware Mobile Applications
Attention for Chapter 3: Energy-Accuracy Trade-offs of Sensor Sampling in Smart Phone Based Sensing Systems
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Citations

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Readers on

mendeley
9 Mendeley
Summary Dimensions citations
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Chapter title
Energy-Accuracy Trade-offs of Sensor Sampling in Smart Phone Based Sensing Systems
Chapter number 3
Book title
Mobile Context Awareness
Published by
Springer, London, January 2012
DOI 10.1007/978-0-85729-625-2_3
Book ISBNs
978-0-85729-624-5, 978-0-85729-625-2
Authors

Kiran K. Rachuri, Cecilia Mascolo, Mirco Musolesi, Rachuri, Kiran K., Mascolo, Cecilia, Musolesi, Mirco

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 56%
Researcher 2 22%
Professor > Associate Professor 1 11%
Student > Postgraduate 1 11%
Readers by discipline Count As %
Computer Science 8 89%
Medicine and Dentistry 1 11%

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