Hardware architecture and a software framework, where the combination allows software to run.
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Despite their importance within the energy sector, buildings have not kept pace with technological improvements and particularly the introduction of intelligent features. A primary obstacle in enabling intelligent buildings is their highly distributed and diffuse nature. To address this challenge, a modular approach will be investigated for building design, construction, and operation that would completely transform the building industry.
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Many safety-critical cyber-physical systems rely on advanced sensing capabilities to react to changing
environmental conditions. However, cost-effective deployments of such capabilities have remained
elusive. Such deployments will require software infrastructure that enables multiple sensor-processing
streams to be multiplexed onto a common hardware platform at reasonable cost, as well as tools and
methods for validating that required processing rates can be maintained.
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The goal of this project is to create a scalable and robust cyber-physical system (CPS)
framework for the observation and control of the functional interdependencies between bridge
structures (stationary physical systems) and trucks (mobile physical agents). A CPS framework
(Figure 1) is being developed to monitor and control trucks within a single highway corridor to
manage the imposed loads and the consumption of structural life by trucks on highway
infrastructure including bridges. The framework begins with the installation of wireless sensing
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Shared hardware resources like caches and memory introduce timing unpredictability for real-time
systems. Worst-case execution time (WCET) analysis with shared hardware resources is often so pessimistic
that the extra processing capacity of multicore systems is negated. We propose techniques to
improve performance and schedulability for multicore systems.
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Abstract: Robustness Guided Testing and Verification for Cyber-Physical Systems
PI: Georgios Fainekos School of Computing, Informatics and Decision System Engineering, Arizona State University. E-mail: fainekos@asu.edu Website: http://www.public.asu.edu/~gfaineko
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Part 1: Upper-limb motor impairments arise from a wide range of clinical conditions including amputations, spinal cord injury, or stroke. Addressing lost hand function, therefore, is a major focus of rehabilitation interventions; and research in robotic hands and hand exoskeletons aimed at restoring fine motor control functions gained significant speed recently. Integration of these robots with neural control mechanisms is also an ongoing research direction.
