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Networked Infomechanical Systems (NIMS)

Center for Embedded Networked Sensing. UCLA – UCR – Caltech – USC – CSU. Networked Infomechanical Systems (NIMS). V. Goudar, C. Lucas, S. Moshirvaziri, R. Park, R. Pon, J. Sche, E. Yuen

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Networked Infomechanical Systems (NIMS)

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  1. Center for Embedded Networked Sensing UCLA – UCR – Caltech – USC – CSU Networked Infomechanical Systems (NIMS) V. Goudar, C. Lucas, S. Moshirvaziri, R. Park, R. Pon, J. Sche, E. Yuen R. Ambrose, D. Estrin, M. Hamilton, T. Harmon, J. Jay, W. Kaiser, G. Pottie, M. Srivastava, G. Sukhatme, J. Villasenor Introduction: Environmental Exploration and Monitoring • Requirements • Sensing and detection in complex environments • Sampling of air, water, and soil. • Coverage of large spatial and temporal scales • Fundamental Challenges • Environmental sensing and imaging limitations • Limited energy and operating lifetime • Research Goals • Enabling Information Technology research • Mobile, networked, sensing and computing systems • Application Goals • Public Health, Natural Environments, Homeland Defense • Education Goals • High School, Undergraduate, and Graduate programs • Science and Engineering Student and Teacher Teams Solutions: NIMS Nodes and Infrastructure Deployment, Recovery, and Sampling Horizontal and Vertical Transport NIMS Prototypes Information Technology Research, Applications, and Education: Information Technology Research Education Programs Public Health and Environmental Science • Mobile, Embedded Computing • Wireless and wireline networking • Sensing and sampling • Local event detection and evaluation • Coordinated Operations • Nodes draw on many resources to optimize sensing, computation, and networking • Mobile nodes transport and deliver energy resources • Adaptive • Nodes adjust their collective operations to respond to events • Nodes adjust their infrastructure to optimize performance • Public Resources • Water sources, waterways, wetlands • Urban and Natural environments • Sensing • Constantly vigilant monitoring of environmental stress in the ecosystem • Distributed monitoring for security • Sampling • Fast response, distributed detection of pathogens • Undergraduate and Graduate Courses • Embedded Computing • Sensing and Imaging • Networked Robotics • Grade 7-12 Education Programs • Engage student and teacher communities in science and engineering opportunities • Real-time, remote Web access to active, controllable NIMS systems

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