CPSPI MTG 2014 Posters, Videos and Abstracts
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Cyber-Physical Systems comprise richly heterogeneous collections of devices (mobile devices, home electronics, taxis, robotic drones, etc.) that together gather sensor data, analyze it, and coordinate large--scale actions in response to it.
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Scientific challenges: How can multiple cooperative cyber-physical systems communicate and coordinate to accomplish complex high-level tasks within unknown, dynamic and adversarial environments?
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This project addresses the impact of the integration of renewable intermittent generation and the integration of sophisticated sensing, communication, and actuation capabilities into the grid on the system's reliability, volatility, and economic efficiency, and seeks to develop system architectures, along with associated optimization and control algorithms to balance such trade--offs. The high level goals of this project can be stated as follows:
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Recent developments in nanostructures manufacturing, sensing and wireless networking, will soon enable us to deploy Flow-based Cyber-Physical Systems equipped with sensing and actuation capabilities for a broad range of applications.
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Human users are integral to the operation of safety--critical CPS. The goal of this project is to model and analyze the actions of human users along with possible mistakes that may appear in these interactions. We seek to develop approaches that will help us understand the effect of human operator mistakes on the overall system correctness. Our focus is on medical infusion pumps used to deliver drugs to patients.
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The objective of this project is to develop a theoretical framework for stochastic learning, decision-making, and control in high-dimensional cyber-physical systems. In our general framework, decision makers dynamically refine their estimates of the time-varying physical system based on acquired information, which may be obtained by distributed sensors.
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The overall objective of this project is to create a general CPS design-science that makes design of every CPS simpler, faster and more dependable, while at the same time reducing the cost and the required expertise level. In order to master this challenge, we address four fundamental and closely related issues:
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Managing and processing big amounts of data typically consumes large amounts of energy and computing time. These type of problems frequently occur in modern data centers. To solve this problem we can utilize parallel computing which is the most used way to carry out, manage and proces data faster. It is necessary to locate techiniques for energy efficient computation.
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Wireless body area sensing networks (WBANs) have the potential to revolutionize health care in the near term and enhance other application domains including sports, entertainment, military and emergency situations. These WBANs represent a novel cyber-physical system that unites engineering systems, the natural world and human individuals.
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Our overarching goal is to develop a framework for design automation of cyber-physical systems that augment human-in-the-loop inference and interaction by complex systems operating at the interface of computation and physical environment.
