19,169 research outputs found

    Biogeography-Based Optimization of a Variable Camshaft Timing System

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    Automotive system optimization problems are difficult to solve with traditional optimization techniques because the optimization problems are complex, and the simulations are computationally expensive. These two characteristics motivate the use of evolutionary algorithms and meta-modeling techniques respectively. In this work, we apply biogeography-based optimization (BBO) to radial basis function (RBF)-based lookup table controls of a variable camshaft timing system for fuel economy optimization. Also, we reduce computational search effort by finding an effective parameterization of the problem, optimizing the parameters of the BBO algorithm for the problem, and estimating the cost of a portion of the candidate solutions in BBO with design and analysis of computer experiments (DACE). We find that we can improve fuel economy by 1.7 compared to the original control parameters, and we find effective, problem-specific values for BBO population size and mutation rate. Finally, we find that we can use a small number of samples to construct DACE models, and we can use these models to estimate a significant portion of the BBO candidate solutions each generation to reduce computation effort and still obtain good BBO solution

    Simulation and Control of an Intelligent Prosthetic Knee with Biogeography-Based Optimization

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    Traditional, passive leg prostheses for transfemoral amputees require the user to produce unnaturally large actuations in order to walk. The resulting motions can cause joint degeneration and arthritis. To avoid this, a semi-active prosthetic knee using hydraulics to store and release energy has been developed. In our work this summer, we have improved upon a previous simulation model for this leg, and we have developed preliminary valve control results in this simulation software with BBO.https://engagedscholarship.csuohio.edu/u_poster_2012/1045/thumbnail.jp

    Biogeography-Based Optimization of a Variable Camshaft Timing System

    Get PDF
    Automotive system optimization problems are difficult to solve with traditional optimization techniques because the optimization problems are complex, and the simulations are computationally expensive. These two characteristics motivate the use of evolutionary algorithms and meta-modeling techniques respectively. In this work, we apply biogeography-based optimization (BBO) to radial basis function (RBF)-based lookup table controls of a variable camshaft timing system for fuel economy optimization. Also, we reduce computational search effort by finding an effective parameterization of the problem, optimizing the parameters of the BBO algorithm for the problem, and estimating the cost of a portion of the candidate solutions in BBO with design and analysis of computer experiments (DACE). We find that we can improve fuel economy by 1.7 compared to the original control parameters, and we find effective, problem-specific values for BBO population size and mutation rate. Finally, we find that we can use a small number of samples to construct DACE models, and we can use these models to estimate a significant portion of the BBO candidate solutions each generation to reduce computation effort and still obtain good BBO solution

    Direct Use of Low Enthalpy Deep Geothermal Resources in the East African Rift Valley

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    Geothermal energy is already harnessed across East Africa to provide hundreds of megawatts of electricity, with significant plans for future expansion towards generation at the gigawatt scale. This power generation utilizes the high steam temperatures (typically more than 200 °C) that are available in several locations in Kenya, Ethiopia and elsewhere. The presence of these high enthalpy resources has deflected attention from the often attractive low and medium enthalpy resources present across a more extensive portion of the region. Geothermally heated water at cooler temperatures (less than 90 °C) could be widely produced by drilling shallower and cheaper boreholes than those required for power production. This low enthalpy resource could be widely exploitable throughout the Rift Valley, offering a low carbon, sustainable, reliable and commercially competitive source of heating, drying and cooling (via absorption chillers) to local farmers and growers, and for low temperature commercial and industrial uses. Applications of this type would displace expensive fossil fuels, reducing costs and carbon emissions as well as improving the region’s energy and food security. The power input for pump systems can be accommodated by relatively small generators, so direct heat projects could be beneficial to consumers in areas with no grid access

    Cruise Crimes: Economic-Legal Issues and Current Debates

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    Cruise tourism is one of the sunshine sectors of international tourism and is growing rapidly in many parts of the world. It is estimated that the growth rate of cruise tourism is twice the rate of tourism overall. Notwithstanding all the positives that accompany this growth, many critics have drawn attention to the “dark side” of cruise crimes. The eco-system aboard the cruise ship offers a fertile ground for the occurrence of crimes. The present paper examines the issue of crimes onboard from multiple standpoints and suggests some remedial measures that would lead to better management of cruise crimes. A presentation of the recent initiatives by the U.S. legislative bodies aimed at containing cruise crimes is also provided.cruise ships; criminology aboard; cruise crime typology; crime prevention; industry initiative; legislative intervention; and USA

    EMPIRICAL LIKELIHOOD ESTIMATORS OF THE LINEAR SIMULTANEOUS EQUATIONS MODEL

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    Information theoretic estimators are specified for a system of linear simultaneous equations, including maximum empirical likelihood, maximum empirical exponential likelihood, and maximum log Euclidean likelihood. Monte Carlo experiments are used to compare finite sample performance of these estimators to traditional generalized method of moments.Research Methods/ Statistical Methods,

    Replication of Known Dental Characteristics in Porcine Skin: Emerging Technologies for the Imaging Specialist

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    This study demonstrates that it is sometimes possible to replicate patterns of human teeth in pig skin and determine scientifically that a given injury pattern (bite mark) correlates with the dentitions of a very small proportion of a population dataset, e.g., 5 percent or even 1 percent. The authors recommend building on the template of this research with a sufficiently large database of samples that reflects the diverse world population. They also envision the development of a sophisticated imaging software application that enables forensic examiners to insert parameters for measurement, as well as additional methods of applying force to produce bite marks for research. The authors further advise that this project is applied science for injury pattern analysis and is only foundational research that should not be cited in testimony and judicial procedures. It supplements but does not contradict current guidelines of the American Board of Forensic Odontology regarding bite mark analysis and comparisons. A much larger population database must be developed. The project’s methodology is described in detail, accompanied by 11 tables and 41 figures

    The Soviet and Other Communist Navies: The View from the Mid-1980s

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