CPS: Synergy: A Hybrid Detector Network for Nuclear and Radioactive Threat Detection
CPS:协同:用于核和放射性威胁检测的混合检测器网络
基本信息
- 批准号:1239509
- 负责人:
- 金额:$ 100万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-10-01 至 2017-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The most compelling problem confronting detection of nuclear material in a large area is the level of manifest uncertainty. Furthermore, detection and localization problems involve nontrivial and nonlinear non-convex optimization often stuck at local minima. This project develops fundamentally new techniques by using cheap detectors for rough detection and localization, placing detectors to expunge local minima, achieving fast distributed localization with reduced communication overheads, simultaneously localizing multiple sources and optimally placing detectors and assisting in their autonomous self-organization.There is a growing recognition of the inadequacy of current capabilities with respect to nuclear material detection and localization in public events and areas. This project develops an integrated cyber-physical system for public protection against nuclear and radiological threats. Clearly the project addresses a national security issue. If successful, the contribution and results of the project likely open a new framework for detection or monitoring in a large area using a wireless detector network. One of the key aspects of this project is the inter-disciplinary training of our graduate and undergraduate students including female and minority students in the areas of signal processing, statistical methods, modeling and performance analysis. K-12 students are also targeted through the First competition and Project-Lead-The-Way that connects the College of Engineering at the University of Iowa to almost all high school students in Iowa. It is expected that the project will generate enthusiasm and interests in science, mathematics and engineering for high school students.
在大面积区域探测核材料所面临的最紧迫问题是明显的不确定性。此外,检测和定位问题涉及非平凡和非线性的非凸优化往往停留在局部最小值。该项目通过使用廉价的检测器进行粗略检测和定位,放置检测器以消除局部最小值,实现快速分布式定位,减少通信开销,同时定位多个源并优化放置探测器并协助其自主自我人们日益认识到,目前在公共活动中探测和定位核材料的能力不足和地区。该项目开发了一个综合网络物理系统,以保护公众免受核威胁和放射性威胁。显然,该项目涉及国家安全问题。如果成功,该项目的贡献和成果可能会为使用无线探测器网络在大面积进行探测或监测开辟一个新的框架。该项目的一个关键方面是我们的研究生和本科生,包括女性和少数民族学生在信号处理,统计方法,建模和性能分析领域的跨学科培训。 K-12学生也通过第一次竞争和项目领先的方式,连接工程学院在爱荷华州的爱荷华州几乎所有的高中生的目标。预计该项目将激发高中学生对科学、数学和工程的热情和兴趣。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Er-Wei Bai其他文献
Identifiability and convergence analysis of the MINLIP estimator
- DOI:
10.1016/j.automatica.2014.10.091 - 发表时间:
2015-01-01 - 期刊:
- 影响因子:
- 作者:
Liang Dai;Kristiaan Pelckmans;Er-Wei Bai - 通讯作者:
Er-Wei Bai
Stochastic and worst case system identification are not necessarily incompatible
- DOI:
10.1016/0005-1098(94)90017-5 - 发表时间:
1994-09-01 - 期刊:
- 影响因子:
- 作者:
Er-Wei Bai;Mark S. Andersland - 通讯作者:
Mark S. Andersland
Kernel based approaches to local nonlinear non-parametric variable selection
基于核的局部非线性非参数变量选择方法
- DOI:
10.1016/j.automatica.2013.10.010 - 发表时间:
2014 - 期刊:
- 影响因子:6.4
- 作者:
Er-Wei Bai;Kang Li;Zhao Wenxiao;Weiyu Xu - 通讯作者:
Weiyu Xu
Variable Selection and Identification of High-Dimensional Nonparametric Additive Nonlinear Systems
高维非参数可加非线性系统的变量选择与辨识
- DOI:
10.1109/tac.2016.2605741 - 发表时间:
2017-05 - 期刊:
- 影响因子:6.8
- 作者:
Biqiang Mu;Wei Xing Zheng;Er-Wei Bai - 通讯作者:
Er-Wei Bai
An Optimization Based Robust Identification Algorithm in the Presence of Outliers
- DOI:
10.1023/a:1016567327455 - 发表时间:
2002-08-01 - 期刊:
- 影响因子:1.700
- 作者:
Er-Wei Bai - 通讯作者:
Er-Wei Bai
Er-Wei Bai的其他文献
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{{ truncateString('Er-Wei Bai', 18)}}的其他基金
Optimization with few violated constraints and its application in controls
少违反约束优化及其在控制中的应用
- 批准号:
0098181 - 财政年份:2001
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
Blind System Identification and its Applications
盲系统辨识及其应用
- 批准号:
9710297 - 财政年份:1997
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
Research Initiation Award: Adaptive Quantification of Model Uncertainties
研究启动奖:模型不确定性的自适应量化
- 批准号:
9011359 - 财政年份:1990
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
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