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I/UCRC Phase II: ASU Research Site of the NSF Net-Centric and Cloud Software and Systems I/UCRC

I/UCRC Phase II: ASU Research Site of the NSF Net-Centric and Cloud Software and Systems I/UCRC
I/UCRC 第二阶段:美国国家科学基金会 (NSF) 网络中心和云软件与系统的 ASU 研究站点 I/UCRC
批准号:
1540040
负责人:
Andreas Spanias
金额:
$22.5万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-01-01 至 2022-12-31
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中文摘要
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英文摘要
With this award, the Arizona State University IUCRC site of the Net-centric and Cloud Software and Systems (NCSS) I/UCRC will transition to a Phase 2 Site. The NCSS involves University of North Texas (Lead Site), Southern Methodist University, University of Texas at Dallas, Missouri University of S&T and Arizona State University. The site has already established the necessary intellectual base and marketing infrastructure to attract and retain industry partners for Phase 2, and has an excellent track record of industry membership and engagement within the NCSS. Networked sensing systems are important in homeland security, Net Centric defense systems, industry applications, health monitoring and other areas. The Phase 2 center will enable the creation of new capabilities in sensor signal processing and will bridge the gap between sensor development and large scale sensor deployment. The center is uniquely positioned to promote fundamental research, education, scholarship, and industry activities in an innovative manner that will continue integrating well in the existing Net-Centric umbrella. With the NCSS, this Site focuses on research areas such as digital signal and image processing, sensor networks, information technologies and algorithm and cloud software development for wireless communications. Specific areas of planned research advances and contributions include: a) Advances in radar direction of arrival estimation using virtual sensor arrays, b) development of networked sensor monitoring algorithms and cloud software which predict process failures, c) fault detection in sensors monitoring networked PV arrays, d) networked imaging sensors for activity detection, and e) net centric approaches with camera arrays for image understanding.
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国内基金
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