CPS: Medium: Collaborative Research: Constantly on the Lookout: Low-cost Sensor Enabled Explosive Detection to Protect High Density Environments
CPS: Medium: Collaborative Research: Constantly on the Lookout: Low-cost Sensor Enabled Explosive Detection to Protect High Density Environments
批准号:
1739396
负责人:
Ahmet Cetin
金额:
$14.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-10-01 至 2021-09-30
中文摘要
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英文摘要
This project aims to empower ordinary citizens to take charge in collecting real time environmental data that can be used to serve a common interest. The target application of the project is a cyber-physical system for detecting small amounts of explosive vapor in the air so as to protect large-area public gatherings. In this system, extremely low-cost explosive sensors, handed out free of charge, will be connected to the smart phones of the willing participants, effectively turning each one of them into a look-out sensor node. Although the primary application of the proposed cyber-physical system is explosive detection, problems with similar technical challenges include air pollution monitoring systems, pandemic prevention, fire and/or gas leak monitoring. Successful completion of this project will generate a plethora of new applications that target problems with the aim of reaching a common goal by leveraging computation, power, and communications capacities donated by willing participants. Understanding that interest in STEM (science, technology, engineering, math)-related careers begins in elementary school, the project will use a sensor-based system that aims at locating a heat source, as part of K-12 outreach activities that explore crowd-sourced data collection, processing, and scheduling. The researchers work regularly with undergraduate and high school students through Fulton Undergraduate Research Initiative (FURI), Barrett Summer Scholars (BSS), National Science Foundation-sponsored National Nanotechnology Infrastructure Network Research Experience for Undergraduates (NNIN REU), and Arizona State University's Summer Research Experience for High School Students program.Designing a system based on extremely low-cost sensors for crowd-sourced monitoring has several unique technical and scientific challenges that the project tackles. First, cost/power requirements and the need to detect tiny amounts of explosive vapor are at odds with each other. Second, the system will be designed to tolerate inevitable sensor inaccuracies and false positives/negatives in a stable manner. Third, since the entire system hinges on willing participation from the public, sensor operation will be made transparent to the user, and not create a negative user experience. Finally, privacy concerns of the users will be addressed by keeping them anonymous, and the security threats generated by this anonymity will be addressed.
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Detecting Gas Vapor Leaks through Uncalibrated Sensor Based CPS
通过基于未校准传感器的 CPS 检测气体蒸汽泄漏
DOI:
10.1109/icassp.2019.8682204
发表时间:
2019
期刊:
Speech and Signal Processing (ICASSP
影响因子:
--
作者:
[Badawi, Diaa, Ozev, Sule, Christen, Jennifer Blain, Yang, Chengmo, Orailoglu, Alex, Cetin, A. Enis]
通讯作者:
Cetin, A. Enis
DOI:
10.1109/icassp.2018.8461709
发表时间:
2018-04
期刊:
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
影响因子:
--
作者:
[Arman Afrasiyabi;Diaa Badawi;Baris Nasir;Ozan Yildiz;F. Yarman-Vural;A. Çetin]
通讯作者:
Arman Afrasiyabi;Diaa Badawi;Baris Nasir;Ozan Yildiz;F. Yarman-Vural;A. Çetin
Computationally Efficient Spatio-Temporal Dynamic Texture Recognition for Volatile Organic Compound (VOC) Leakage Detection in Industrial Plants
用于工业工厂挥发性有机化合物 (VOC) 泄漏检测的计算高效时空动态纹理识别
DOI:
10.1109/jstsp.2020.2976555
发表时间:
2020
期刊:
IEEE Journal of Selected Topics in Signal Processing
影响因子:
7.5
作者:
[Badawi, Diaa, Pan, Hongyi, Cetin, Sinan Cem, Enis Cetin, A.]
通讯作者:
Enis Cetin, A.
DOI:
10.1109/jsen.2021.3084220
发表时间:
2021-08
期刊:
IEEE Sensors Journal
影响因子:
4.3
作者:
[Diaa Badawi;Agamyrat Agambayev;S. Ozev;Ieee A. Enis Cetin Fellow]
通讯作者:
Diaa Badawi;Agamyrat Agambayev;S. Ozev;Ieee A. Enis Cetin Fellow
Detecting Gas Vapor Leaks Using Uncalibrated Sensors
使用未校准的传感器检测气体蒸汽泄漏
DOI:
10.1109/access.2019.2949740
发表时间:
2019
期刊:
IEEE Access
影响因子:
3.9
作者:
[Badawi, Diaa, Ayhan, Tuba, Ozev, Sule, Yang, Chengmo, Orailoglu, Alex, Cetin, Ahmet Enis]
通讯作者:
Cetin, Ahmet Enis
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