Semantics in Mobile Sensing (Record no. 85527)

000 -LEADER
fixed length control field 04631nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-3-031-79453-7
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730164302.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2014 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031794537
-- 978-3-031-79453-7
082 04 - CLASSIFICATION NUMBER
Call Number 510
100 1# - AUTHOR NAME
Author Yan, Zhixian.
245 10 - TITLE STATEMENT
Title Semantics in Mobile Sensing
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2014.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XI, 131 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Data, Semantics, and Knowledge,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Acknowledgments -- Introduction -- Semantic Trajectories from Positioning Sensors -- Semantic Activities from Motion Sensors -- Energy-Efficient Computation of Semantics from Sensors -- Conclusion -- Bibliography -- Authors' Biographies .
520 ## - SUMMARY, ETC.
Summary, etc The dramatic progress of smartphone technologies has ushered in a new era of mobile sensing, where traditional wearable on-body sensors are being rapidly superseded by various embedded sensors in our smartphones. For example, a typical smartphone today, has at the very least a GPS, WiFi, Bluetooth, triaxial accelerometer, and gyroscope. Alongside, new accessories are emerging such as proximity, magnetometer, barometer, temperature, and pressure sensors. Even the default microphone can act as an acoustic sensor to track noise exposure for example. These sensors act as a ""lens"" to understand the user's context along different dimensions. Data can be passively collected from these sensors without interrupting the user. As a result, this new era of mobile sensing has fueled significant interest in understanding what can be extracted from such sensor data both instantaneously as well as considering volumes of time series from these sensors. For example, GPS logs can be used to determine automatically the significant places associated to a user's life (e.g., home, office, shopping areas). The logs may also reveal travel patterns, and how a user moves from one place to another (e.g., driving or using public transport). These may be used to proactively inform the user about delays, relevant promotions from shops, in his ""regular"" route. Similarly, accelerometer logs can be used to measure a user's average walking speed, compute step counts, gait identification, and estimate calories burnt per day. The key objective is to provide better services to end users. The objective of this book is to inform the reader of the methodologies and techniques for extracting meaningful information (called ""semantics"") from sensors on our smartphones. These techniques form the cornerstone of several application areas utilizing smartphone sensor data. We discuss technical challenges and algorithmic solutions for modeling and mining knowledge from smartphone-resident sensor data streams. This book devotes two chapters to dive deep into a set of highly available, commoditized sensors---the positioning sensor (GPS) and motion sensor (accelerometer). Furthermore, this book has a chapter devoted to energy-efficient computation of semantics, as battery life is a major concern on user experience.
700 1# - AUTHOR 2
Author 2 Chakraborty, Dipanjan.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-79453-7
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2014.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics.
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-- Internet programming.
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-- Application software.
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-- Computer networks .
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-- Ontology.
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-- Mathematics.
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-- Web Development.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer and Information Systems Applications.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Communication Networks.
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-- Ontology.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2691-2031
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