Submitted by Amir Houmansadr on November 29th, 2017
Submitted by Marco Duarte on November 15th, 2017
Submitted by Michael Zink on November 15th, 2017
Submitted by Prashant Shenoy on November 15th, 2017
Abstract:
Modern cyber-physical systems are monitored and controlled by multi-core platforms, and thermal management of multi-core chips is critical as overheated cores thereon will suffer from exponentially decaying lifetime and unacceptable performance degradation. To meet the timing and system lifetime reliability requirements under dynamic workloads and operating environment, we need a real-time thermal management (RTM) scheme that predicts run-time temperature and actuates effective thermal control without compromising task deadlines.
Submitted by Kang Shin on February 1st, 2016
Abstract:
The goal of this project is to demonstrate that new cyber physical architectures will enable closed-loop sensor networks to be shared among multiple applications. This aids in dynamically allocating sensing and computing resources necessary to analyze sensor data and perform sensor actuation. Existing closed-loop sensor networks are based on dedicated, ``stove-pipe'' architectures, that prevent the sharing of these networks.
Submitted by Michael Zink on February 1st, 2016
Abstract:
The project aims to establish a Cyber-Physical Infrastructure for urban environments and address fundamental problems that involve data collection, resource allocation, real-time decision making, safety, and security.
Submitted by Christos Cassandras on February 1st, 2016
Contributor(s)
Christos Cassandras
A. Bestavros
A. Kfoury
W. Gong
Remote Video
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Submitted by Christos Cassandras on December 3rd, 2014
Contributor(s)
Addison Mayberry
Pan Hu
Benjamin Marlin
Deepak Ganesan
Remote Video
Submitted by Deepak Ganesan on December 3rd, 2014
The iShadow project aims to develop an end-to-end system that includes novel ultra-low power computational eyeglasses capable of detecting eye movement and features of the external environment. It will provide real-time sensing, processing, and inference capability. Using this system, we will be able to provide the fundamental knowledge base necessary to discover patterns of human behavior and to leverage such patterns to improve transportation and healthcare.
Submitted by Deepak Ganesan on November 10th, 2014