PublicSense: A Crowd Sensing Platform for Public Facility Management in Smart Cities

Zi Wang; Bin Guo; Zhiwen Yu; Wenle Wu; Jiafan Zhang; Zhu Wang; Huihui Chen

doi:10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0038

PublicSense: A Crowd Sensing Platform for Public Facility Management in Smart Cities

Zi Wang
, Bin Guo
, Zhiwen Yu
, Wenle Wu
, Jiafan Zhang
, Zhu Wang
, Huihui Chen

计算机学院

Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

11 引用（Scopus）

摘要

The prevalence of mobile crowd sensing (MCS) facilitates the collection of large-scale sensing data. There are many MCS platforms developed in various aspects. But there are few existing MCS platforms used for public facility. In this paper, we propose a crowd sensing platform for public facility management. Participants use their smart phones to collect the information of public facility by the smart phone's current time, camera, GPS sensors data. All information will be transmitted to the backend server. An image classification method based on Fourier descriptor algorithm is presented to classify the uploaded data The experimental results show this system can detect the problem type according the uploading data.

源语言	英语
主期刊名	Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016
编辑	Didier El Baz, Julien Bourgeois
出版商	Institute of Electrical and Electronics Engineers Inc.
页	114-120
页数	7
ISBN（电子版）	9781509027705
DOI	https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0038
出版状态	已出版 - 12 1月 2017
活动	13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016 - Toulouse, 法国期限: 18 7月 2016 → 21 7月 2016

出版系列

姓名

Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016

会议

会议	13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016
国家/地区	法国
市	Toulouse
时期	18/07/16 → 21/07/16

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 11 可持续城市和社区

访问文件

10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0038

其它文件与链接

链接到 Scopus 的出版物

引用此

Wang, Z., Guo, B., Yu, Z., Wu, W., Zhang, J., Wang, Z., & Chen, H. (2017). PublicSense: A Crowd Sensing Platform for Public Facility Management in Smart Cities. 在 D. El Baz, & J. Bourgeois (编辑), Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016 (页码 114-120). 文章 7816834 (Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0038

Wang, Zi ; Guo, Bin ; Yu, Zhiwen 等. / PublicSense : A Crowd Sensing Platform for Public Facility Management in Smart Cities. Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016. 编辑 / Didier El Baz ; Julien Bourgeois. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 114-120 (Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016).

@inproceedings{6c15f1f829e0410a9891af7b531bf232,

title = "PublicSense: A Crowd Sensing Platform for Public Facility Management in Smart Cities",

abstract = "The prevalence of mobile crowd sensing (MCS) facilitates the collection of large-scale sensing data. There are many MCS platforms developed in various aspects. But there are few existing MCS platforms used for public facility. In this paper, we propose a crowd sensing platform for public facility management. Participants use their smart phones to collect the information of public facility by the smart phone's current time, camera, GPS sensors data. All information will be transmitted to the backend server. An image classification method based on Fourier descriptor algorithm is presented to classify the uploaded data The experimental results show this system can detect the problem type according the uploading data.",

keywords = "Fourier descriptor, Mobile crowd sensing, Platform",

author = "Zi Wang and Bin Guo and Zhiwen Yu and Wenle Wu and Jiafan Zhang and Zhu Wang and Huihui Chen",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016 ; Conference date: 18-07-2016 Through 21-07-2016",

year = "2017",

month = jan,

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doi = "10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0038",

language = "英语",

series = "Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "114--120",

editor = "\{El Baz\}, Didier and Julien Bourgeois",

booktitle = "Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016",

}

Wang, Z, Guo, B, Yu, Z, Wu, W, Zhang, J, Wang, Z & Chen, H 2017, PublicSense: A Crowd Sensing Platform for Public Facility Management in Smart Cities. 在 D El Baz & J Bourgeois (编辑), Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016., 7816834, Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016, Institute of Electrical and Electronics Engineers Inc., 页码 114-120, 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016, Toulouse, 法国, 18/07/16. https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0038

PublicSense: A Crowd Sensing Platform for Public Facility Management in Smart Cities. / Wang, Zi; Guo, Bin; Yu, Zhiwen 等.
Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016. 编辑 / Didier El Baz; Julien Bourgeois. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 114-120 7816834 (Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - PublicSense

T2 - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016

AU - Wang, Zi

AU - Guo, Bin

AU - Yu, Zhiwen

AU - Wu, Wenle

AU - Zhang, Jiafan

AU - Wang, Zhu

AU - Chen, Huihui

PY - 2017/1/12

Y1 - 2017/1/12

N2 - The prevalence of mobile crowd sensing (MCS) facilitates the collection of large-scale sensing data. There are many MCS platforms developed in various aspects. But there are few existing MCS platforms used for public facility. In this paper, we propose a crowd sensing platform for public facility management. Participants use their smart phones to collect the information of public facility by the smart phone's current time, camera, GPS sensors data. All information will be transmitted to the backend server. An image classification method based on Fourier descriptor algorithm is presented to classify the uploaded data The experimental results show this system can detect the problem type according the uploading data.

AB - The prevalence of mobile crowd sensing (MCS) facilitates the collection of large-scale sensing data. There are many MCS platforms developed in various aspects. But there are few existing MCS platforms used for public facility. In this paper, we propose a crowd sensing platform for public facility management. Participants use their smart phones to collect the information of public facility by the smart phone's current time, camera, GPS sensors data. All information will be transmitted to the backend server. An image classification method based on Fourier descriptor algorithm is presented to classify the uploaded data The experimental results show this system can detect the problem type according the uploading data.

KW - Fourier descriptor

KW - Mobile crowd sensing

KW - Platform

UR - https://www.scopus.com/pages/publications/85013152312

U2 - 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0038

DO - 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0038

M3 - 会议稿件

AN - SCOPUS:85013152312

T3 - Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016

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EP - 120

BT - Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016

A2 - El Baz, Didier

A2 - Bourgeois, Julien

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 18 July 2016 through 21 July 2016

ER -

Wang Z, Guo B, Yu Z, Wu W, Zhang J, Wang Z 等. PublicSense: A Crowd Sensing Platform for Public Facility Management in Smart Cities. 在 El Baz D, Bourgeois J, 编辑, Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 页码 114-120. 7816834. (Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016). doi: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0038

PublicSense: A Crowd Sensing Platform for Public Facility Management in Smart Cities

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此