II-EN: UCI Irvine Sensorium

Sharad Mehrotra博士和加州大学欧文分校（UCI）的一个跨学科合作团队将开发I-sensorium，作为一个“生活实验室”，支持在网络物理系统的几个相关领域的研究：包括建立感知系统的理论基础和基本原则；工程、软件和系统层面的挑战；以及可以使用这种感知系统的新应用环境。I-Sensorium将作为探索和测试新型感知技术的试验台。I-Sensorium增强了现有UCI危机响应测试平台Responsphere，该平台具有最先进的存储和计算基础设施，可以获取和处理来自Responsphere传感器的连续传感数据流。I-Sensorium软件将利用UCI在大型异构传感器数据库、用于查询和分析异构传感器数据的传感器中间件平台以及用于多媒体数据的事件表示系统上的多个正在进行的研究项目，为I-Sensorium提供一个高层次的编程环境，允许广泛的研究人员参与并从中受益。I-Sensorium的发展为网络物理系统的许多方面提供了基于研究的教育和培训机会。基础设施以及由其实现的传感器数据采集在传感器数据管理、机器学习、计算机视觉、事件建模等方面提出了研究挑战和机遇。与工业合作伙伴和政府机构的互动有望推动网络物理系统在现实世界中的应用。教育和外联工作的目的是扩大妇女和代表性不足群体成员在计算机科学和工程方面的参与。关于这个项目的更多信息可以在http://www.i-sensorium.org上找到

Dr. Sharad Mehrotra and an interdisciplinary team of collaborators at the University of California at Irvine (UCI) will develop I-sensorium, to serve as a "living laboratory" to support research in several related areas of cyber-physical systems: including theoretical foundations and underlying principles of building sentient systems; engineering, software, and systems level challenges; and novel application contexts where such sentient systems can be used. I-Sensorium will serve as a testbed for exploring and testing novel sentient technologies. I-Sensorium augments Responsphere, an existing UCI crisis response test-bed with state-of-the-art storage and computational infrastructure to acquire and process continuous streams of sensory data from Responsphere sensors. The I-Sensorium software will leverage multiple ongoing research projects at UCI on large-scale, heterogeneous sensor databases, sensor middleware platforms for querying and analysis of heterogeneous sensor data, and an event representation system for multi-media data, to provide a high level programming environment for the I-Sensorium allowing a broad group of researchers to participate and benefit from its creation. The development of I-Sensorium offers opportunities for research-based education and training in many aspects of cyber-physical systems. The infrastructure as well as the sensor data acquisition enabled by it presents research challenges and opportunities in sensor data management, machine learning, computer vision, event modeling, among others. Interactions with industrial partners and government agencies are expected to lead to advances in the applications of cyber-physical systems in real-world settings. Education and outreach efforts are aimed at broadening the participation of women and members of underrepresented groups in computer science and engineering. Further information about this project can be found at: http://www.i-sensorium.org