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.
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
{"edition":"1","isbns":["9789811377754","9789811377761","9811377758","9811377766"],"last_page":127,"publisher":"Springer"}
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
备用描述
Keine Beschreibung vorhanden.
Erscheinungsdatum: 24.06.2019
开源日期
2019-06-11
更多信息……

🚀 快速下载

成为会员以支持书籍、论文等的长期保存。为了感谢您对我们的支持,您将获得高速下载权益。❤️
如果您在本月捐款,您将获得双倍的快速下载次数。

🐢 低速下载

由可信的合作方提供。 更多信息请参见常见问题解答。 (可能需要验证浏览器——无限次下载!)

所有选项下载的文件都相同,应该可以安全使用。即使这样,从互联网下载文件时始终要小心。例如,确保您的设备更新及时。
  • 对于大文件,我们建议使用下载管理器以防止中断。
    推荐的下载管理器:JDownloader
  • 您将需要一个电子书或 PDF 阅读器来打开文件,具体取决于文件格式。
    推荐的电子书阅读器:Anna的档案在线查看器ReadEraCalibre
  • 使用在线工具进行格式转换。
    推荐的转换工具:CloudConvertPrintFriendly
  • 您可以将 PDF 和 EPUB 文件发送到您的 Kindle 或 Kobo 电子阅读器。
    推荐的工具:亚马逊的“发送到 Kindle”djazz 的“发送到 Kobo/Kindle”
  • 支持作者和图书馆
    ✍️ 如果您喜欢这个并且能够负担得起,请考虑购买原版,或直接支持作者。
    📚 如果您当地的图书馆有这本书,请考虑在那里免费借阅。