When Compressive Sensing Meets Mobile Crowdsensing 🔍
Linghe Kong, Bowen Wang, Guihai Chen
Springer Singapore : Imprint : Springer, 1st ed. 2019, Singapore, 2019
英语 [en] · PDF · 3.8MB · 2019 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save
描述
This book provides a comprehensive introduction to applying compressive sensing to improve data quality in the context of mobile crowdsensing. It addresses the following main topics: recovering missing data, efficiently collecting data, preserving user privacy, and detecting false data.
Mobile crowdsensing, as an emerging sensing paradigm, enables the masses to take part in data collection tasks with the aid of powerful mobile devices. However, mobile crowdsensing platforms have yet to be widely adopted in practice, the major concern being the quality of the data collected. There are numerous causes: some locations may generate redundant data, while others may not be covered at all, since the participants are rarely systematically coordinated; privacy is a concern for some people, who don’t wish to share their real-time locations, and therefore some key information may be missing; further, some participants may upload fake data in order to fraudulently gain rewards. To address these problematic aspects, compressive sensing, which works by accurately recovering a sparse signal using very few samples, has proven to offer an effective solution.
Mobile crowdsensing, as an emerging sensing paradigm, enables the masses to take part in data collection tasks with the aid of powerful mobile devices. However, mobile crowdsensing platforms have yet to be widely adopted in practice, the major concern being the quality of the data collected. There are numerous causes: some locations may generate redundant data, while others may not be covered at all, since the participants are rarely systematically coordinated; privacy is a concern for some people, who don’t wish to share their real-time locations, and therefore some key information may be missing; further, some participants may upload fake data in order to fraudulently gain rewards. To address these problematic aspects, compressive sensing, which works by accurately recovering a sparse signal using very few samples, has proven to offer an effective solution.
备用文件名
lgrsnf/N:\!genesis_\0day\springer\10.1007%2F978-981-13-7776-1.pdf
备用文件名
nexusstc/When Compressive Sensing Meets Mobile Crowdsensing/0415376bcdf02a4e9b6844c3a0c156eb.pdf
备用文件名
scihub/10.1007/978-981-13-7776-1.pdf
备用文件名
zlib/no-category/Linghe Kong, Bowen Wang, Guihai Chen/When Compressive Sensing Meets Mobile Crowdsensing_5247109.pdf
备选作者
Kong, Linghe; Wang, Bowen; Chen, Guihai
备用出版商
Springer Science + Business Media Singapore Pte Ltd
备用出版商
Springer Nature Singapore
备用版本
Online access with purchase: Springer, Singapore, 2019
备用版本
Springer Nature, Singapore, 2019
备用版本
Singapore, Singapore
备用版本
Jun 24, 2019
备用版本
1, 20190608
元数据中的注释
sm76016435
元数据中的注释
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备用描述
Front Matter ....Pages i-xii
Introduction (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 1-4
Mobile Crowdsensing (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 5-16
Compressive Sensing (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 17-25
Basic Compressive Sensing for Data Reconstruction (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 27-48
Iterative Compressive Sensing for Fault Detection (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 49-67
Homogeneous Compressive Sensing for Privacy Preservation (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 69-89
Converted Compressive Sensing for Multidimensional Data (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 91-105
Compressive Crowdsensing for Task Allocation (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 107-124
Conclusion (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 125-127
Introduction (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 1-4
Mobile Crowdsensing (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 5-16
Compressive Sensing (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 17-25
Basic Compressive Sensing for Data Reconstruction (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 27-48
Iterative Compressive Sensing for Fault Detection (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 49-67
Homogeneous Compressive Sensing for Privacy Preservation (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 69-89
Converted Compressive Sensing for Multidimensional Data (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 91-105
Compressive Crowdsensing for Task Allocation (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 107-124
Conclusion (Linghe Kong, Bowen Wang, Guihai Chen)....Pages 125-127
备用描述
Keine Beschreibung vorhanden.
Erscheinungsdatum: 24.06.2019
Erscheinungsdatum: 24.06.2019
开源日期
2019-06-11
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网站: /datasets/oclc
代码浏览器: 在代码浏览器中查看“oclc_editions:1”
OCLC Editions (from search_holdings_summary_all_editions):
1
网站: /datasets/oclc
OCLC 'From Filename':
2023_04_v3/4147/414704839
网站: /datasets/oclc
OCLC 'From Filename':
2023_05_v4_type123/1140/114014943
网站: /datasets/oclc
OCLC 'From Filename':
range_query/9504404###
网站: /datasets/oclc
OCLC 'From Filename':
range_query/backup_9504404###____10
网站: /datasets/oclc
OCLC 'From Filename':
range_query/backup_9504404###____2
网站: /datasets/oclc
OCLC 'From Filename':
range_query/backup_9504404###____3
网站: /datasets/oclc
OCLC 'From Filename':
range_query/backup_9504404###____4
网站: /datasets/oclc
OCLC 'From Filename':
range_query/backup_9504404###____5
网站: /datasets/oclc
OCLC 'From Filename':
range_query/backup_9504404###____7
网站: /datasets/oclc
OCLC 'From Filename':
range_query/backup_9504404###____8
网站: /datasets/oclc
OCLC 'From Filename':
range_query/backup_9504404###____9
网站: /datasets/oclc
OCLC 'From Filename':
search_holdings_all_editions_response/2025-05-19_22.tar/1259093503
网站: /datasets/oclc
OCLC 'From Filename':
search_holdings_all_editions_response_type/1259093503
网站: /datasets/oclc
OCLC 'From Filename':
search_holdings_summary_all_editions/1259093503/index/59688607
网站: /datasets/oclc
OCLC 'From Filename':
w2/v6/1755/175582382
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/1135/1135314511
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/2271/227152156
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/3714/371448454
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/6518/651882647
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/8661/866184745
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/9137/913723566
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/9499/949931682
网站: /datasets/oclc
OCLC 'From Filename':
worldcat_2022_09_titles_1_backup_2022_10_12/v3/1106/110686545
网站: /datasets/oclc
OCLC Holdings:
1
Number of library holdings (for all editions) reported by OCLC/WorldCat metadata. 'many' means 20 or more.
网站: /datasets/oclc
代码浏览器: 在代码浏览器中查看“oclc_holdings:1”
OCLC Holdings+Editions (to find rare books):
1/1
<number of oclc_holdings>/<number of oclc_editions>. If both numbers are low (but not zero) this might be a rare book.
网站: /datasets/oclc
OCLC Holdings+Editions+LibraryID (to find rare books):
1/1/87901
网站: /datasets/oclc
OCLC Holdings (from library_ids):
1
网站: /datasets/oclc
OCLC Holdings (from search_holdings_all_editions_response):
1
网站: /datasets/oclc
OCLC Holdings (from search_holdings_summary_all_editions):
1
网站: /datasets/oclc
OCLC ISBNs+Holdings+Editions (to find rare books):
2/1/1
网站: /datasets/oclc
OCLC ISBNs+Holdings+Editions+LibraryID (to find rare books):
2/1/1/87901
网站: /datasets/oclc
OCLC Library ID:
87901
OCLC/WorldCat partner library, from which they ingest metadata. Only added for records with less than 10 total holdings.
网站: /datasets/oclc
Open Library:
OL22094110W
代码浏览器: 在代码浏览器中查看“ol:OL22094110W”
Open Library:
OL30128233M
代码浏览器: 在代码浏览器中查看“ol:OL30128233M”
Open Library Source Record:
amazon:9811377758
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
bwb:9789811377754
The code for a source record that Open Library imported from.
网站: /datasets/ol
Server Path:
g4/libgenrs_nonfiction/libgenrs_nonfiction/2411000/0415376bcdf02a4e9b6844c3a0c156eb
Path on Anna’s Archive partner servers.
Server Path:
g4/scimag/76000000/76016000/10.1007/978-981-13-7776-1.pdf
Path on Anna’s Archive partner servers.
SHA-1:
gtfxjsoh5ruzecvcib6e52iwqsahusuz
SHA-256:
69635b4cdea3ccd2cd8393ef9dee27543c10c8a7200371db91bed1375ec715c0
Torrent:
external/libgen_rs_non_fic/r_2411000.torrent
Bulk torrent for long-term preservation.
网站: /torrents
Torrent:
external/scihub/sm_76000000-76099999.torrent
Bulk torrent for long-term preservation.
网站: /torrents
Z-Library:
5247109
ID in Z-Library.
URL: https://z-lib.gd/
网站: /datasets/zlib
代码浏览器: 在代码浏览器中查看“zlib:5247109”
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