CPS: Medium: Collaborative Research: Constantly on the Lookout: Low-cost Sensor Enabled Explosive Detection to Protect High Density Environments
CPS:中:协作研究:不断关注:低成本传感器支持爆炸物检测以保护高密度环境
基本信息
- 批准号:1739451
- 负责人:
- 金额:$ 46.41万
- 依托单位:
- 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
- 起止时间:2017-10-01 至 2023-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
该项目旨在使普通公民能够负责收集可用于共同利益的真实的实时环境数据。该项目的目标应用是一个网络物理系统,用于检测空气中的少量爆炸性蒸汽,以保护大面积的公共集会。在这个系统中,免费分发的极低成本的爆炸传感器将连接到愿意参与的智能手机上,有效地将每个人变成一个监视传感器节点。虽然拟议的网络物理系统的主要应用是爆炸物探测,但具有类似技术挑战的问题包括空气污染监测系统、流行病预防、火灾和/或气体泄漏监测。该项目的成功完成将产生大量新的应用程序,这些应用程序针对问题,旨在通过利用自愿参与者捐赠的计算,电力和通信能力来实现共同目标。了解到对STEM(科学,技术,工程,数学)相关职业的兴趣始于小学,该项目将使用基于传感器的系统,旨在定位热源,作为K-12外展活动的一部分,探索众包数据收集,处理和调度。研究人员通过富尔顿本科生研究计划(FURI),巴雷特夏季学者(BSS),国家科学基金会赞助的国家纳米技术基础设施网络本科生研究经验(NNIN REU)和亚利桑那州立大学的高中生暑期研究经验计划定期与本科生和高中生合作。设计一个基于极低成本传感器的众包监测系统,该项目面临着几个独特的技术和科学挑战。首先,成本/功率要求和检测微量爆炸性蒸汽的需要彼此不一致。第二,系统将被设计为以稳定的方式容忍不可避免的传感器不准确性和假阳性/阴性。第三,由于整个系统取决于公众的自愿参与,传感器操作将对用户透明,并且不会产生负面的用户体验。最后,用户的隐私问题将通过保持匿名来解决,并且这种匿名性所产生的安全威胁将得到解决。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Enabling Large-scale Fine-grained Simulation of IED Vapor Concentration in Open-air Environments
实现露天环境中 IED 蒸汽浓度的大规模细粒度模拟
- DOI:10.1109/mwscas48704.2020.9184431
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Agambayev, Agamyrat;Sang, Christopher Lue;Blain Christen, Jennifer;Ozev, Sule
- 通讯作者:Ozev, Sule
Deep-Learning-Based Gas Leak Source Localization From Sparse Sensor Data
- DOI:10.1109/jsen.2022.3202134
- 发表时间:2022-11
- 期刊:
- 影响因子:4.3
- 作者:Diaa Badawi;I. Bassi;Ieee Sule Ozev Member;Ieee A. Enis Cetin Fellow
- 通讯作者:Diaa Badawi;I. Bassi;Ieee Sule Ozev Member;Ieee A. Enis Cetin Fellow
Detecting Anomaly in Chemical Sensors via L1-Kernel-Based Principal Component Analysis
通过基于 L1 内核的主成分分析检测化学传感器中的异常
- DOI:10.1109/lsens.2022.3209102
- 发表时间:2022
- 期刊:
- 影响因子:2.8
- 作者:Pan, Hongyi;Badawi, Diaa;Bassi, Ishaan;Ozev, Sule;Cetin, Ahmet Enis
- 通讯作者:Cetin, Ahmet Enis
Detecting Anomaly in Chemical Sensors via Regularized Contrastive Learning
通过正则化对比学习检测化学传感器中的异常
- DOI:10.1109/icassp43922.2022.9746646
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Badawi, Diaa;Bassi, Ishaan;Ozev, Sule;Cetin, Ahmet Enis
- 通讯作者:Cetin, Ahmet Enis
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Sule Ozev其他文献
Adaptive Modeling of Analog/RF Circuits for Efficient Fault Response Evaluation
- DOI:
10.1007/s10836-011-5221-z - 发表时间:
2011-04-12 - 期刊:
- 影响因子:1.300
- 作者:
Gurusubrahmaniyan Subrahmaniyan Radhakrishnan;Sule Ozev - 通讯作者:
Sule Ozev
Automated System-Level Test Development for Mixed-Signal Circuits
- DOI:
10.1023/a:1024130616851 - 发表时间:
2003-05-01 - 期刊:
- 影响因子:1.400
- 作者:
Sule Ozev;Alex Orailoglu - 通讯作者:
Alex Orailoglu
Contact-Less Near-Field Test of Active Integrated RF Phased Array Antennas
- DOI:
10.1007/s10836-019-05799-8 - 发表时间:
2019-05-24 - 期刊:
- 影响因子:1.300
- 作者:
Maryam Shafiee;Sule Ozev - 通讯作者:
Sule Ozev
Calibration and Source Localization Using an Array of Resistive Metal Oxide Gas Sensors
使用电阻式金属氧化物气体传感器阵列进行校准和源定位
- DOI:
10.1109/vts60656.2024.10538731 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
I. Bassi;Sule Ozev - 通讯作者:
Sule Ozev
Novel behavioral responses of sea turtles to gillnet fishing gear
海龟对刺网渔具的新奇行为反应
- DOI:
10.1016/j.biocon.2025.111161 - 发表时间:
2025-06-01 - 期刊:
- 影响因子:4.400
- 作者:
Janie L. Reavis;Blair E. Witherington;Michael J. Bresette;Kinley Ragan;John H. Wang;Stephen C. Pratt;H. Seckin Demir;Jennifer Blain;Sule Ozev;Dale F. DeNardo;Jesse F. Senko - 通讯作者:
Jesse F. Senko
Sule Ozev的其他文献
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{{ truncateString('Sule Ozev', 18)}}的其他基金
Conference: SHF: Small: NSF Student Travel Grant for 2024 IEEE VLSI Test Symposium
会议:SHF:小型:2024 年 IEEE VLSI 测试研讨会 NSF 学生旅费补助金
- 批准号:
2334367 - 财政年份:2024
- 资助金额:
$ 46.41万 - 项目类别:
Standard Grant
SHF: Small: Rapid Development of Adaptable RF Transceivers for IoT Applications via Built-in Self-Test and Calibration
SHF:小型:通过内置自测试和校准快速开发适用于物联网应用的适应性射频收发器
- 批准号:
1617562 - 财政年份:2016
- 资助金额:
$ 46.41万 - 项目类别:
Standard Grant
SHF: Small: Collaborative Research: Unified Framework for Adaptive Analog and Digital Performance Characterization using Learned Information from the Circuit Under Test
SHF:小型:协作研究:使用从被测电路中学到的信息进行自适应模拟和数字性能表征的统一框架
- 批准号:
1116252 - 财政年份:2011
- 资助金额:
$ 46.41万 - 项目类别:
Standard Grant
Collaborative Research:Hierarchical Testing and Yield Enhancement of High End Integrated RF Systems
合作研究:高端集成射频系统的分层测试和良率提升
- 批准号:
0917738 - 财政年份:2008
- 资助金额:
$ 46.41万 - 项目类别:
Continuing Grant
CAREER: Hierarchical Process Variability Analysis of Analog Circuits Geared for Test and Diagnosis
职业:用于测试和诊断的模拟电路的分层过程变异性分析
- 批准号:
0917766 - 财政年份:2008
- 资助金额:
$ 46.41万 - 项目类别:
Continuing Grant
CAREER: Hierarchical Process Variability Analysis of Analog Circuits Geared for Test and Diagnosis
职业:用于测试和诊断的模拟电路的分层过程变异性分析
- 批准号:
0545456 - 财政年份:2006
- 资助金额:
$ 46.41万 - 项目类别:
Continuing Grant
Collaborative Research:Hierarchical Testing and Yield Enhancement of High End Integrated RF Systems
合作研究:高端集成射频系统的分层测试和良率提升
- 批准号:
0540994 - 财政年份:2006
- 资助金额:
$ 46.41万 - 项目类别:
Continuing Grant
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