Multi-dimensional Urban Sensing Using Crowdsensing Data (Record no. 15170)

MARC details
000 -LEADER
fixed length control field 03079nam a2200337Ia 4500
000 - LEADER
fixed length control field 04110nam a22003735i 4500
001 - CONTROL NUMBER
control field 978-981-19-9006-9
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240319120848.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230323s2023 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789811990069
-- 978-981-19-9006-9
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 4.167
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Xiang, Chaocan.
9 (RLIN) 30921
245 ## - TITLE STATEMENT
Title Multi-dimensional Urban Sensing Using Crowdsensing Data
Statement of responsibility, etc. by Chaocan Xiang, Panlong Yang, Fu Xiao, Xiaochen Fan.
Medium [electronic resource] /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Singapore
Name of publisher, distributor, etc. Springer Nature Singapore
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 200 p. 1 illus.
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. In smart cities, the indispensable devices used in people's daily lives, such as smartphones, smartwatches, vehicles, and smart buildings, are equipped with more and more sensors. For example, most smartphones now have cameras, GPS, acceleration and light sensors. Leveraging the massive sensing data produced by users' common devices for large-scale, fine-grained sensing in smart cities is referred to as the urban crowdsensing. It can enable applications that are beneficial to a broad range of urban services, including traffic, wireless communication service (4G/5G), and environmental protection. In this book, we provide an overview of our recent research progress on urban crowdsensing. Unlike the extant literature, we focus on multi-dimensional urban sensing using crowdsensing data. Specifically, the book explores how to utilize crowdsensing to see smart cities in terms of three-dimensional fundamental issues, including how to incentivize users' participation, how to recommend tasks, and how to transmit the massive sensing data. We propose a number of mechanisms and algorithms to address these important issues, which are key to utilizing the crowdsensing data for realizing urban applications. Moreover, we present how to exploit this available crowdsensing data to see smart cities through three-dimensional applications, including urban pollution monitoring, traffic volume prediction, and urban airborne sensing. More importantly, this book explores using buildings' sensing data for urban traffic sensing, thus establishing connections between smart buildings and intelligent transportation. Given its scope, the book will be of particular interest to researchers, students, practicing professionals, and urban planners. Furthermore, it can serve as a primer, introducing beginners to mobile crowdsensing in smart cities and helping them understand how to collect and exploit crowdsensing data for various urban applications.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Cloud Computing.
9 (RLIN) 30922
Topical term or geographic name entry element Cloud Computing.
9 (RLIN) 30922
Topical term or geographic name entry element Computer Communication Networks.
9 (RLIN) 30923
Topical term or geographic name entry element Computer networks .
9 (RLIN) 30924
Topical term or geographic name entry element Mobile computing.
9 (RLIN) 30925
Topical term or geographic name entry element Mobile Computing.
9 (RLIN) 30926
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Fan, Xiaochen.
9 (RLIN) 30927
Personal name Xiao, Fu.
9 (RLIN) 30928
Personal name Yang, Panlong.
9 (RLIN) 30929
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-19-9006-9">https://doi.org/10.1007/978-981-19-9006-9</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Barcode Date last seen Price effective from Koha item type Public note
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub Online   Veda Library Solutions Pvt. Ltd., Noida   EB2156 2024-03-19 2024-03-19 e-Book Platform:Springer