The document was issued by academy or academy organization.
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Abstract:
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.
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Many practical barriers continue to exist for a blind individual who strives to live an independent and active life, despite decades of development of assistive technologies. This project addresses the following two most prominent challenges: (1) disparity in information-sharing among people with visual impairment and its limited understanding by the research community; and (2) lack of methods and tools for effectively addressing the disparity.
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Until now, the "cyber" component of automobiles has consisted of control algorithms and associated software for vehicular subsystems designed to achieve one or more performance, efficiency, reliability, comfort, or safety (PERCS) goals, primarily based on short-term intrinsic vehicle sensor data. However, there exist many extrinsic factors that can affect the degree to which these goals can be achieved.
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The PIs are developing their novel modeling paradigm, Generalized Synchronization Trees (GSTs), into a rich framework for both describing cyber-physical systems (CPSs) and studying their behavior under interconnection. GSTs were inspired by Milner's use of Synchronization Trees (STs) to model interconnected computing processes, but GSTs generalize the mathematical structure of their forebears in such a way as to encompass many classes of CPSs.
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Cyber-physical systems regulating critical infrastructures, such as electrical grids and water networks, are increasingly geographically distributed, necessitating communication between remote sensors, actuators and controllers. The combination of networked computational and physical sub- systems leads to new security vulnerabilities that adversaries can exploit with devastating consequences.
