331 research outputs found

    Sufficiency and necessity in reliability modeling

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    Limitations of current analytic techniques in estimating the reliability of life-critical electronics systems are discussed. A new framework for specification of recovery and fault-handling submodels is suggested, and is shown through several examples to provide substantially improved modeling accuracy and flexibility. Implementation of the new technique in an X-windows based system, XHARP, is also described. The implementation allows for an automated behavioral decomposition of full system models, heretofore unavailable in such tools

    Human Engineering

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    Author Institution: Capital University, Columbus, Ohi

    Context sensitive color quantization system and method

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    A system and method usable in producing a display image limited to a lesser number of colors from an input image having a greater number of colors. The invention is particularly useful in a computer system utilizing a video monitor capable of simultaneously displaying a selected number of colors stored in a lookup table. The system and method receive data representative of respective colors at a multiplicity of individual pixels in the input image. This input image data is then temporarily stored in an input buffer. An appropriate processor receives the input image data and performs image quantization thereon. Specifically, the processor first determines the selected colors to be included in the display image. Next, the processor determines which of the selected colors respectively correspond to individual pixels of the display image. Unlike the prior art, image quantization algorithms of the present invention selectively account for perceptive blending of colors appearing in the input image in determining the optimum display image. In other words, if individual colors appear in the input image in such a manner that a viewer would perceive a blended color, the invention will tend to display the blended color rather than the individual colors

    Primal Wasserstein Imitation Learning

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    Imitation Learning (IL) methods seek to match the behavior of an agent with that of an expert. In the present work, we propose a new IL method based on a conceptually simple algorithm: Primal Wasserstein Imitation Learning (PWIL), which ties to the primal form of the Wasserstein distance between the expert and the agent state-action distributions. We present a reward function which is derived offline, as opposed to recent adversarial IL algorithms that learn a reward function through interactions with the environment, and which requires little fine-tuning. We show that we can recover expert behavior on a variety of continuous control tasks of the MuJoCo domain in a sample efficient manner in terms of agent interactions and of expert interactions with the environment. Finally, we show that the behavior of the agent we train matches the behavior of the expert with the Wasserstein distance, rather than the commonly used proxy of performance.Comment: Published in International Conference on Learning Representations (ICLR 2021

    News from Academy Bay

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    New Faces and New Projects in a New CDRS Department. International Workshop: Feral Goat Eradication Program. Geologists to Invade Galápagos. GIS in Galápagos. The Isabela Project: Off and Running. A Pig-Free Santiago: Is it a Dream or on the Horizon? The Special Law for Galápagos

    Additional Mallophaga from Ohio Birds

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    Additional Mallophaga from Ohio Birds

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    Author Institution: Department of Zoology, Capital Universit

    Notes on the Infestation of Wild Birds by Mallophaga

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    Author Institution: Department of Zoology, Capital Universit

    The Ursinus Weekly, December 4, 1975

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    Soloists named for Messiah • Party hangover • Ec Club hears oil co. view of energy crisis • Guidelines approved for records access • Faculty grievances presented to adm. • U.S.G.A.: Risen from the dead? • Editorial: Malcontents or outdated policy? • Letters to the editor: On student rights • Super game, super seasonhttps://digitalcommons.ursinus.edu/weekly/1048/thumbnail.jp

    The Ursinus Weekly, September 26, 1974

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    Fall Forum season opens • Editorial: Dear freshmen • A Guide to better living in Collegeville, Pa. 19426 • Bears 1974 football preview • Harriers upset by Delaware Valleyhttps://digitalcommons.ursinus.edu/weekly/1019/thumbnail.jp
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