CPSPI MTG 2014 Posters, Videos and Abstracts
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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.
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Cyber-Physical Systems (CPS) are being increasingly deployed in critical infrastructures such as electric-power, water, transportation, and other networks. These deployments are facilitating real-time monitoring and closed-loop control by exploiting the advances in wireless sensor-actuator networks, the internet of "everything," data-driven analytics, and machine-to-machine interfaces. CPS operations depend on the synergy of computational and physical components.
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The electric power grid is a critical infrastructure that is vulnerable to physical and cyber attacks. As a result, data describing grid topology and components is considered sensitive information. There is also increasing need to foster cooperation among the participants in microgrid-enabled electric marketplace.
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This project explores balancing performance considerations and power consumption in cyber-physical systems, through algorithms that switch among different modes of operation (e.g., low-power/high-power, on/off, or mobile/static) in response to environmental conditions. The main theoretical contribution is a computational, hybrid optimal control framework that is connected to a number of relevant target applications where physical modeling, control design, and software architectures all constitute important components.
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The goal of this research is to investigate and demonstrate the capabilities of hybrid computers, combining both discrete and continuous computation, in the context of cyber-physical systems.
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Stroke is the leading cause of long-term disability in the US with approximately 7 million stroke survivors living in the US today and for patients with neurological disorders, it has been shown that limited gait velocity commonly results in walking that is predominantly restricted to the household. Unlike traditional exoskeletons, which contain rigid linkage elements, the vision for this work is for exosuits that use soft materials such as textiles to provide a more conformal, unobtrusive and compliant means to interface to the human body.
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Cyber-physical system (CPS) applications for urban systems often involve sophisticated interaction and coordination between physical and computational resources with a large number of sensing and actuation devices that share information communication networks.
