University of California at Riverside
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Submitted by Bir Bhanu on Sun, 02/14/2016 - 8:35pm
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Abstract:
Overall Objective. The goal of this project is to facilitate the timely retrieval of dynamic situational awareness information from field deployed nodes by an operational center in disaster recovery or search and rescue missions, which are typically characterized by resource-constrained uncertain environments. Technology advances allow the deployment of field nodes capable of returning rich content (e.g., video/images) that can significantly aid rescue and recovery.
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NSF Awards #1035603 and #1545097 seek to bring software programmability to cyber-physical Laboratories-on-a-Chip (LoCs) that combine electrowetting-on-dielectric (EWoD) technology, driven by active-matrix addressing, with integrated sensing. Compared to traditional benchtop chemistry methods, EWoD-based LoCs reduce reagent consumption and the human error through miniaturization, automation, and programmability.
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Abstract:
This project will design next-generation defense mechanisms to protect critical infrastructures, such as power grids, large industrial plants, and water distribution systems. These critical infrastructures are complex primarily due to the integration of cyber and physical components, the presence of high-order behaviors and functions, and an intricate and large interconnection pattern.
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Abstract:
This poster presents progress of the synergistic framework and algorithms development for a group sensors to collaborate in disaster scenarios. A number of fundamental research results were obtained on scene understanding in a network of visual sensors. These were experimentally evaluated, and datasets and results from these evaluations have been released to the community.
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Abstract:
This project will design next--generation defense mechanisms to protect critical infrastructures, such as power grids, large industrial plants, and water distribution systems. These critical infrastructures are complex primarily due to the integration of cyber and physical components, the presence of high--order behaviors and functions, and an intricate and large interconnection pattern.
