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

有了这份合同，亚利桑那州立大学IUCRC网络中心和云软件与系统（NCSS） I/UCRC站点将过渡到第二阶段站点。NCSS包括北德克萨斯大学、南卫理公会大学、德克萨斯大学达拉斯分校、密苏里大学和亚利桑那州立大学。该网站已经建立了必要的知识基础和营销基础设施，以吸引和留住第二阶段的行业合作伙伴，并在NCSS的行业会员和参与方面有着良好的记录。网络传感系统在国土安全、以网络为中心的国防系统、工业应用、健康监测等领域具有重要意义。第二阶段的中心将能够在传感器信号处理方面创造新的能力，并将弥合传感器开发和大规模传感器部署之间的差距。该中心具有独特的定位，以创新的方式促进基础研究、教育、奖学金和工业活动，并将继续很好地整合到现有的以网络为中心的保护伞中。通过NCSS，该站点专注于数字信号和图像处理、传感器网络、信息技术和算法以及无线通信的云软件开发等研究领域。计划的研究进展和贡献的具体领域包括：a)使用虚拟传感器阵列的雷达到达方向估计的进展，b)预测过程故障的网络化传感器监测算法和云软件的开发，c)监测网络化光伏阵列的传感器故障检测，d)用于活动检测的网络化成像传感器，以及e)用于图像理解的以摄像头阵列为中心的网络方法。

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.