2,587 research outputs found

    Autonomous satellite command and control: A comparison with other military systems

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    Existing satellite concepts of operation depend on readily available experts and are extremely manpower intensive. Areas of expertise required include mission planning, mission data interpretation, telemetry monitoring, and anomaly resolution. The concepts of operation have envolved to their current state in part because space systems have tended to be treated more as research and development assets rather than as operational assets. These methods of satellite command and control will be inadequate in the future because of the availability, survivability, and capability of human experts. Because space systems have extremely high reliability and limited access, they offer challenges not found in other military systems. Thus, automation techniques used elsewhere are not necessarily applicable to space systems. A program to make satellites much more autonomous has been developed, using a variety of advanced software techniques. The problem the program is addressing, some possible solutions, the goals of the Rome Air Development Center (RADC) program, the rationale as to why the goals are reasonable, and the current program status are discussed. Also presented are some of the concepts used in the program and how they differ from more traditional approaches

    An equipping model applied to Valley Chapel Free Methodist Church

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    https://place.asburyseminary.edu/ecommonsatsdissertations/1522/thumbnail.jp

    The effectiveness of the Natural Resource Conservation Service (NRCS) and Huff rainfall distribution methods for use in detention basin design

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    This thesis focuses on the effectiveness of the NRCS and Huff rainfall distribution methods for use in detention basin design. This study required the use of HEC-HMS, hydrologic modeling software, in order to analyze the distribution methods. Three separate detention basins and their watersheds were modeled for this study. The watersheds were analyzed for both undeveloped and developed conditions. The parameters analyzed include detention basin inflow, detention basin outflow, watershed peak discharge, and detention basin storage capacity. The determination of detention basin effectiveness was based upon these parameters. The NRCS distribution method is widely used; however, many who use it have little understanding of its effectiveness. The Huff distribution method differs in several ways from the NRCS distribution method including providing the user with an option to use different storm durations --Abstract, page iii

    Performance Evaluation with Stochastic Discount Factors

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    We study the use of stochastic discount factor (SDF) models in evaluating the investment performance of portfolio managers. By constructing artificial mutual funds with known levels of investment ability, we evaluate a large set of SDF models. We find that the measures of performance are not highly sensitive to the SDF model, and that most of the models have a mild negative bias when performance is neutral. We use the models to evaluate a sample of U.S. equity mutual funds. Adjusting for the observed bias, we find that the average mutual fund has enough ability to cover its transactions costs. Extreme funds are more likely to have good rather than poor risk adjusted performance. Our analysis also reveals a number of implementation issues relevant to other applications of SDF models.

    Weather and Growing Season Summary, 2003

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    Includes: Weather Summary Insect Pests Plant Disease Crop Yield and Qualit

    Weather and Growing Season Summary, 2004

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    Includes: Weather Summary Insect Pests Plant Diseases Crop Yields and Qualit

    Weather and Growing Season Summary, 2005

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    Includes: Weather Summary Insect Pests Plant Disease Crop Yields and Qualit

    Weather and Growing Season, 2002

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    Includes: Weather Summary Insect Pests Plant Disease Crop Yield Qualit

    Field Days and Farm Tours and 2001 Growing Season

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    Includes: Field Days and Farm Tours 2001 Growing Seaso
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