802 research outputs found

    Nonlinear Wave Transformation Using Modified Dispersive Shoaling Models

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    This study is to compare and validate two models for random wave transformation with experimental data. Both models are based on frequency domain KdV equation. First model is a modified version of KdV equation which was derived to provide shoaling and dispersion relation of each frequency mode. Second model is a dispersive nonlinear shoaling model including shallow water limits and dissipation terms. Results expected are as follows 1) Second model is expected to overestimate the results in higher frequencies but can predict satisfactorily close in the lower and intermediate frequency zones of the energy spectrums. 2) First model is expected to predict the transformation better than that of the second because of the fully dispersive nature. Energy spectrum plots from models are expected to match close to the experimental plots in the lower frequencies and the first model is expected to be much closer to the experimental data than that of the second model. The validation plots of both the models are expected to be as close as they can be in the Infra gravity and Swell regions of the spectrum; the second model is expected to do better in the Sea wave region of the spectrum

    Fetal transverse cerebellar diameter measurement in intrauterine growth restriction: a more accurate parameter for gestational age assessment at term

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    Background: Assessment of fetal gestational age (GA) is an essential part of obstetric USG. Accurate knowledge of fetal GA is important to facilitate the best possible prenatal care and successful pregnancy outcome.  For the estimation of GA the commonly used parameters in third trimester are:- BPD, HC, AC and FL. As all these parameters are affected by fetal growth disorders and fetal position. TCD can be used as another parameter for the estimation of GA in growth restricted fetuses.Methods: This study was conducted at Mahila Chikitsalaya Sanganeri Gate; SMS Medical College Jaipur from July 2005 to September 2006. A total of 80 pregnant women in third trimester with singleton pregnancy including 40 pregnant women with known cases of IUGR and 40 AGA fetuses were studied for TCD measure.Results: Correlation coefficient between TCD and gestational age was highly significant and no significant difference was found in TCD of AGA and IUGR fetuses.Conclusions: TCD measurement can be used as more reliable parameter for accurate estimation of gestational age in IUGR fetuses in third trimester

    Nonlinear Wave Transformation Using Modified Dispersive Shoaling Models

    Get PDF
    This study is to compare and validate two models for random wave transformation with experimental data. Both models are based on frequency domain KdV equation. First model is a modified version of KdV equation which was derived to provide shoaling and dispersion relation of each frequency mode. Second model is a dispersive nonlinear shoaling model including shallow water limits and dissipation terms. Results expected are as follows 1) Second model is expected to overestimate the results in higher frequencies but can predict satisfactorily close in the lower and intermediate frequency zones of the energy spectrums. 2) First model is expected to predict the transformation better than that of the second because of the fully dispersive nature. Energy spectrum plots from models are expected to match close to the experimental plots in the lower frequencies and the first model is expected to be much closer to the experimental data than that of the second model. The validation plots of both the models are expected to be as close as they can be in the Infra gravity and Swell regions of the spectrum; the second model is expected to do better in the Sea wave region of the spectrum

    Production of Butanol (C4H9OH) from Barley Straw

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    The energy requirements of the world has accelerated search for new fuels or new sources of fuel. Ethanol or butanol production from lignocellulosic biomass is one example of this. As lignin constrains the access of cellulose or hemicellulose to enzymes for their hydrolysis, it is necessary to remove the lignin. Various pretreatment methods are used before going for the hydrolysis of cellulose present in biomass followed by hydrolysis. In this work, barley straw is chosen as the lignocellulosic biomass and production of butanol has been carried out using steam explosion and acid hydrolysis followed by fermentation. The maximum amount of sugar (37.51 mg/ml of hydrozylate solution) was produced after the hydrolysis by HNO3 with 0.5 mol/ltr concentration. The maximum amount of butanol (3.046mg/ml) was also found by hydrolyzing with 0.5 mol/ltr of HNO3 after the fermentation of hydrozylat

    Distributed Deblurring of Large Images of Wide Field-Of-View

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    Image deblurring is an economic way to reduce certain degradations (blur and noise) in acquired images. Thus, it has become essential tool in high resolution imaging in many applications, e.g., astronomy, microscopy or computational photography. In applications such as astronomy and satellite imaging, the size of acquired images can be extremely large (up to gigapixels) covering wide field-of-view suffering from shift-variant blur. Most of the existing image deblurring techniques are designed and implemented to work efficiently on centralized computing system having multiple processors and a shared memory. Thus, the largest image that can be handle is limited by the size of the physical memory available on the system. In this paper, we propose a distributed nonblind image deblurring algorithm in which several connected processing nodes (with reasonable computational resources) process simultaneously different portions of a large image while maintaining certain coherency among them to finally obtain a single crisp image. Unlike the existing centralized techniques, image deblurring in distributed fashion raises several issues. To tackle these issues, we consider certain approximations that trade-offs between the quality of deblurred image and the computational resources required to achieve it. The experimental results show that our algorithm produces the similar quality of images as the existing centralized techniques while allowing distribution, and thus being cost effective for extremely large images.Comment: 16 pages, 10 figures, submitted to IEEE Trans. on Image Processin
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