The document was issued by academy or academy organization.
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Abstract:
Visual identification of structural flaws is quite valuable not only to predict an imminent collapse of a bridge, but also to determine effective precautionary measures and repairs.
Statement of objectives:
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Abstract:
As self-driving cars are introduced into road networks, the overall safety and efficiency of the resulting traffic system must be established and guaranteed. Numerous critical software-related recalls of existing automotive systems indicate that current design practices are not yet up to this challenge. This project seeks to address this problem, by developing methods to analyze and coordinate networks of fully and partially self-driving vehicles that interact with conventional human-driven vehicles on roads.
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The objective of the project is to demonstrate the synergistic use of a cyber-physical infrastructure consisting of smart-phone devices; cloud computing, wireless communication, and intelligent transportation systems to manage vehicles in the complex urban network - through the use of traffic controls, route advisories and road pricing - to jointly optimize drivers' mobility and the sustainability goals of reducing energy usage and improving air quality.
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Abstract:
Cyber--physical systems (CPS) have become increasingly prevalent in applications including health care, energy, and transportation. The tight coupling between cyber and physical components of CPS implies that cyber--attacks can degrade the safety, availability, and performance of physical components. The cyber components also introduce multiple entry points to the CPS, lowering the cost of attacks compared to purely physical systems.
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Telerobotic systems are cyber-physical systems where human operators and robots exchange information using a combination of publicly available communication networks and temporary ad-hoc wireless and satellite networks.
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This project is to develop dynamical models of distributed computation systems that are resilient to noise, unreliable communication and other source uncertainty. The key idea is centered on the development of optimization systems. These are dynamical systems that (solve) stabilize around the optimal solution of a (static) convex optimization problem. If the optimization problem is separable, then the designed dynamic system decomposes into a set of locally interacting dynamic systems.
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The goal of this project is to develop fundamental theory, computationally efficient algorithms, and real-world experiments for the analysis and design of safety-critical cyber-physical transportation systems with human operators. To this end, we propose a modeling, theoretical, and experimental collaborative effort combining human factors, control theory, and computer science. As crashes at traffic intersections account for about 40% of overall vehicle crashes, we will focus on intersection crashes in this project.
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The objective of this research is to create tools to manage uncertainty in the design and certification process of safety-critical aviation systems. The research focuses on three innovative ideas to support this objective. First, probabilistic techniques will be introduced to specify system-level requirements and bound the performance of dynamical components. These will reduce the design costs associated with complex aviation systems consisting of tightly integrated components produced by many independent engineering organizations.
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This cross-disciplinary project brings together a team of engineering and computer science researchers to create and demonstrate the value of new techniques for ensuring that systems comprised of hardware, software, and humans will perform in a synergistic and safe manner.
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Abstract:
No robots at the sub-cm3 scale exist because their development faces a number of open challenges. This project focuses on identifying and determining means for solving these challenges. In addition, it is providing new solutions to outstanding questions about resource-constrained algorithms, architectures, and actuators that can be widely leveraged in other applications.
