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curve resolution</title> <meta name="description" content="Search results for: multivariate curve resolution"> <meta name="keywords" content="multivariate curve resolution"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="multivariate curve resolution"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 3154</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: multivariate curve resolution</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3154</span> Comparison of the Distillation Curve Obtained Experimentally with the Curve Extrapolated by a Commercial Simulator</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=L%C3%ADvia%20B.%20Meirelles">Lívia B. Meirelles</a>, <a href="https://publications.waset.org/abstracts/search?q=Erika%20C.%20A.%20N.%20Chrisman"> Erika C. A. N. Chrisman</a>, <a href="https://publications.waset.org/abstracts/search?q=Fl%C3%A1via%20B.%20de%20Andrade"> Flávia B. de Andrade</a>, <a href="https://publications.waset.org/abstracts/search?q=Lilian%20C.%20M.%20de%20Oliveira"> Lilian C. M. de Oliveira</a> </p> <p class="card-text"><strong>Abstract:</strong></p> True Boiling Point distillation (TBP) is one of the most common experimental techniques for the determination of petroleum properties. This curve provides information about the performance of petroleum in terms of its cuts. The experiment is performed in a few days. Techniques are used to determine the properties faster with a software that calculates the distillation curve when a little information about crude oil is known. In order to evaluate the accuracy of distillation curve prediction, eight points of the TBP curve and specific gravity curve (348 K and 523 K) were inserted into the HYSYS Oil Manager, and the extended curve was evaluated up to 748 K. The methods were able to predict the curve with the accuracy of 0.6%-9.2% error (Software X ASTM), 0.2%-5.1% error (Software X Spaltrohr). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distillation%20curve" title="distillation curve">distillation curve</a>, <a href="https://publications.waset.org/abstracts/search?q=petroleum%20distillation" title=" petroleum distillation"> petroleum distillation</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=true%20boiling%20point%20curve" title=" true boiling point curve"> true boiling point curve</a> </p> <a href="https://publications.waset.org/abstracts/68293/comparison-of-the-distillation-curve-obtained-experimentally-with-the-curve-extrapolated-by-a-commercial-simulator" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68293.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">440</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3153</span> Multivariate Analytical Insights into Spatial and Temporal Variation in Water Quality of a Major Drinking Water Reservoir</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Azadeh%20Golshan">Azadeh Golshan</a>, <a href="https://publications.waset.org/abstracts/search?q=Craig%20Evans"> Craig Evans</a>, <a href="https://publications.waset.org/abstracts/search?q=Phillip%20Geary"> Phillip Geary</a>, <a href="https://publications.waset.org/abstracts/search?q=Abigail%20Morrow"> Abigail Morrow</a>, <a href="https://publications.waset.org/abstracts/search?q=Zoe%20Rogers"> Zoe Rogers</a>, <a href="https://publications.waset.org/abstracts/search?q=Marcel%20Maeder"> Marcel Maeder</a> </p> <p class="card-text"><strong>Abstract:</strong></p> 22 physicochemical variables have been determined in water samples collected weekly from January to December in 2013 from three sampling stations located within a major drinking water reservoir. Classical Multivariate Curve Resolution Alternating Least Squares (MCR-ALS) analysis was used to investigate the environmental factors associated with the physico-chemical variability of the water samples at each of the sampling stations. Matrix augmentation MCR-ALS (MA-MCR-ALS) was also applied, and the two sets of results were compared for interpretative clarity. Links between these factors, reservoir inflows and catchment land-uses were investigated and interpreted in relation to chemical composition of the water and their resolved geographical distribution profiles. The results suggested that the major factors affecting reservoir water quality were those associated with agricultural runoff, with evidence of influence on algal photosynthesis within the water column. Water quality variability within the reservoir was also found to be strongly linked to physical parameters such as water temperature and the occurrence of thermal stratification. The two methods applied (MCR-ALS and MA-MCR-ALS) led to similar conclusions; however, MA-MCR-ALS appeared to provide results more amenable to interpretation of temporal and geological variation than those obtained through classical MCR-ALS. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=drinking%20water%20reservoir" title="drinking water reservoir">drinking water reservoir</a>, <a href="https://publications.waset.org/abstracts/search?q=multivariate%20analysis" title=" multivariate analysis"> multivariate analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=physico-chemical%20parameters" title=" physico-chemical parameters"> physico-chemical parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20quality" title=" water quality"> water quality</a> </p> <a href="https://publications.waset.org/abstracts/81651/multivariate-analytical-insights-into-spatial-and-temporal-variation-in-water-quality-of-a-major-drinking-water-reservoir" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/81651.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">291</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3152</span> The Principle Probabilities of Space-Distance Resolution for a Monostatic Radar and Realization in Cylindrical Array</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anatoly%20D.%20Pluzhnikov">Anatoly D. Pluzhnikov</a>, <a href="https://publications.waset.org/abstracts/search?q=Elena%20N.%20Pribludova"> Elena N. Pribludova</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexander%20G.%20Ryndyk"> Alexander G. Ryndyk</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In conjunction with the problem of the target selection on a clutter background, the analysis of the scanning rate influence on the spatial-temporal signal structure, the generalized multivariate correlation function and the quality of the resolution with the increase pulse repetition frequency is made. The possibility of the object space-distance resolution, which is conditioned by the range-to-angle conversion with an increased scanning rate, is substantiated. The calculations for the real cylindrical array at high scanning rate are presented. The high scanning rate let to get the signal to noise improvement of the order of 10 dB for the space-time signal processing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=antenna%20pattern" title="antenna pattern">antenna pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=array" title=" array"> array</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20processing" title=" signal processing"> signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20resolution" title=" spatial resolution"> spatial resolution</a> </p> <a href="https://publications.waset.org/abstracts/98259/the-principle-probabilities-of-space-distance-resolution-for-a-monostatic-radar-and-realization-in-cylindrical-array" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98259.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">180</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3151</span> Regression for Doubly Inflated Multivariate Poisson Distributions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ishapathik%20Das">Ishapathik Das</a>, <a href="https://publications.waset.org/abstracts/search?q=Sumen%20Sen"> Sumen Sen</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Rao%20Chaganty"> N. Rao Chaganty</a>, <a href="https://publications.waset.org/abstracts/search?q=Pooja%20Sengupta"> Pooja Sengupta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Dependent multivariate count data occur in several research studies. These data can be modeled by a multivariate Poisson or Negative binomial distribution constructed using copulas. However, when some of the counts are inflated, that is, the number of observations in some cells are much larger than other cells, then the copula based multivariate Poisson (or Negative binomial) distribution may not fit well and it is not an appropriate statistical model for the data. There is a need to modify or adjust the multivariate distribution to account for the inflated frequencies. In this article, we consider the situation where the frequencies of two cells are higher compared to the other cells, and develop a doubly inflated multivariate Poisson distribution function using multivariate Gaussian copula. We also discuss procedures for regression on covariates for the doubly inflated multivariate count data. For illustrating the proposed methodologies, we present a real data containing bivariate count observations with inflations in two cells. Several models and linear predictors with log link functions are considered, and we discuss maximum likelihood estimation to estimate unknown parameters of the models. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=copula" title="copula">copula</a>, <a href="https://publications.waset.org/abstracts/search?q=Gaussian%20copula" title=" Gaussian copula"> Gaussian copula</a>, <a href="https://publications.waset.org/abstracts/search?q=multivariate%20distributions" title=" multivariate distributions"> multivariate distributions</a>, <a href="https://publications.waset.org/abstracts/search?q=inflated%20distributios" title=" inflated distributios"> inflated distributios</a> </p> <a href="https://publications.waset.org/abstracts/105114/regression-for-doubly-inflated-multivariate-poisson-distributions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/105114.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">156</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3150</span> Design and Implementation of Image Super-Resolution for Myocardial Image</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20V.%20Chidananda%20Murthy">M. V. Chidananda Murthy</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Z.%20Kurian"> M. Z. Kurian</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20S.%20Guruprasad"> H. S. Guruprasad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Super-resolution is the technique of intelligently upscaling images, avoiding artifacts or blurring, and deals with the recovery of a high-resolution image from one or more low-resolution images. Single-image super-resolution is a process of obtaining a high-resolution image from a set of low-resolution observations by signal processing. While super-resolution has been demonstrated to improve image quality in scaled down images in the image domain, its effects on the Fourier-based technique remains unknown. Super-resolution substantially improved the spatial resolution of the patient LGE images by sharpening the edges of the heart and the scar. This paper aims at investigating the effects of single image super-resolution on Fourier-based and image based methods of scale-up. In this paper, first, generate a training phase of the low-resolution image and high-resolution image to obtain dictionary. In the test phase, first, generate a patch and then difference of high-resolution image and interpolation image from the low-resolution image. Next simulation of the image is obtained by applying convolution method to the dictionary creation image and patch extracted the image. Finally, super-resolution image is obtained by combining the fused image and difference of high-resolution and interpolated image. Super-resolution reduces image errors and improves the image quality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=image%20dictionary%20creation" title="image dictionary creation">image dictionary creation</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20super-resolution" title=" image super-resolution"> image super-resolution</a>, <a href="https://publications.waset.org/abstracts/search?q=LGE%20images" title=" LGE images"> LGE images</a>, <a href="https://publications.waset.org/abstracts/search?q=patch%20extraction" title=" patch extraction"> patch extraction</a> </p> <a href="https://publications.waset.org/abstracts/59494/design-and-implementation-of-image-super-resolution-for-myocardial-image" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59494.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">375</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3149</span> Improved Super-Resolution Using Deep Denoising Convolutional Neural Network </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pawan%20Kumar%20Mishra">Pawan Kumar Mishra</a>, <a href="https://publications.waset.org/abstracts/search?q=Ganesh%20Singh%20Bisht"> Ganesh Singh Bisht</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Super-resolution is the technique that is being used in computer vision to construct high-resolution images from a single low-resolution image. It is used to increase the frequency component, recover the lost details and removing the down sampling and noises that caused by camera during image acquisition process. High-resolution images or videos are desired part of all image processing tasks and its analysis in most of digital imaging application. The target behind super-resolution is to combine non-repetition information inside single or multiple low-resolution frames to generate a high-resolution image. Many methods have been proposed where multiple images are used as low-resolution images of same scene with different variation in transformation. This is called multi-image super resolution. And another family of methods is single image super-resolution that tries to learn redundancy that presents in image and reconstruction the lost information from a single low-resolution image. Use of deep learning is one of state of art method at present for solving reconstruction high-resolution image. In this research, we proposed Deep Denoising Super Resolution (DDSR) that is a deep neural network for effectively reconstruct the high-resolution image from low-resolution image. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=resolution" title="resolution">resolution</a>, <a href="https://publications.waset.org/abstracts/search?q=deep-learning" title=" deep-learning"> deep-learning</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=de-blurring" title=" de-blurring"> de-blurring</a> </p> <a href="https://publications.waset.org/abstracts/78802/improved-super-resolution-using-deep-denoising-convolutional-neural-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78802.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">517</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3148</span> Approximating Maximum Speed on Road from Curvature Information of Bezier Curve</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Yushalify%20Misro">M. Yushalify Misro</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Ramli"> Ahmad Ramli</a>, <a href="https://publications.waset.org/abstracts/search?q=Jamaludin%20M.%20Ali"> Jamaludin M. Ali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Bezier curves have useful properties for path generation problem, for instance, it can generate the reference trajectory for vehicles to satisfy the path constraints. Both algorithms join cubic Bezier curve segment smoothly to generate the path. Some of the useful properties of Bezier are curvature. In mathematics, the curvature is the amount by which a geometric object deviates from being flat, or straight in the case of a line. Another extrinsic example of curvature is a circle, where the curvature is equal to the reciprocal of its radius at any point on the circle. The smaller the radius, the higher the curvature thus the vehicle needs to bend sharply. In this study, we use Bezier curve to fit highway-like curve. We use the different approach to finding the best approximation for the curve so that it will resemble highway-like curve. We compute curvature value by analytical differentiation of the Bezier Curve. We will then compute the maximum speed for driving using the curvature information obtained. Our research works on some assumptions; first the Bezier curve estimates the real shape of the curve which can be verified visually. Even, though, the fitting process of Bezier curve does not interpolate exactly on the curve of interest, we believe that the estimation of speed is acceptable. We verified our result with the manual calculation of the curvature from the map. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=speed%20estimation" title="speed estimation">speed estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=path%20constraints" title=" path constraints"> path constraints</a>, <a href="https://publications.waset.org/abstracts/search?q=reference%20trajectory" title=" reference trajectory"> reference trajectory</a>, <a href="https://publications.waset.org/abstracts/search?q=Bezier%20curve" title=" Bezier curve"> Bezier curve</a> </p> <a href="https://publications.waset.org/abstracts/36228/approximating-maximum-speed-on-road-from-curvature-information-of-bezier-curve" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36228.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">375</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3147</span> The Modality of Multivariate Skew Normal Mixture</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bader%20Alruwaili">Bader Alruwaili</a>, <a href="https://publications.waset.org/abstracts/search?q=Surajit%20Ray"> Surajit Ray</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Finite mixtures are a flexible and powerful tool that can be used for univariate and multivariate distributions, and a wide range of research analysis has been conducted based on the multivariate normal mixture and multivariate of a t-mixture. Determining the number of modes is an important activity that, in turn, allows one to determine the number of homogeneous groups in a population. Our work currently being carried out relates to the study of the modality of the skew normal distribution in the univariate and multivariate cases. For the skew normal distribution, the aims are associated with studying the modality of the skew normal distribution and providing the ridgeline, the ridgeline elevation function, the $\Pi$ function, and the curvature function, and this will be conducive to an exploration of the number and location of mode when mixing the two components of skew normal distribution. The subsequent objective is to apply these results to the application of real world data sets, such as flow cytometry data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mode" title="mode">mode</a>, <a href="https://publications.waset.org/abstracts/search?q=modality" title=" modality"> modality</a>, <a href="https://publications.waset.org/abstracts/search?q=multivariate%20skew%20normal" title=" multivariate skew normal"> multivariate skew normal</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20mixture" title=" finite mixture"> finite mixture</a>, <a href="https://publications.waset.org/abstracts/search?q=number%20of%20mode" title=" number of mode"> number of mode</a> </p> <a href="https://publications.waset.org/abstracts/68912/the-modality-of-multivariate-skew-normal-mixture" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68912.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">488</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3146</span> Curve Fitting by Cubic Bezier Curves Using Migrating Birds Optimization Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mitat%20Uysal">Mitat Uysal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A new met heuristic optimization algorithm called as Migrating Birds Optimization is used for curve fitting by rational cubic Bezier Curves. This requires solving a complicated multivariate optimization problem. In this study, the solution of this optimization problem is achieved by Migrating Birds Optimization algorithm that is a powerful met heuristic nature-inspired algorithm well appropriate for optimization. The results of this study show that the proposed method performs very well and being able to fit the data points to cubic Bezier Curves with a high degree of accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=algorithms" title="algorithms">algorithms</a>, <a href="https://publications.waset.org/abstracts/search?q=Bezier%20curves" title=" Bezier curves"> Bezier curves</a>, <a href="https://publications.waset.org/abstracts/search?q=heuristic%20optimization" title=" heuristic optimization"> heuristic optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=migrating%20birds%20optimization" title=" migrating birds optimization"> migrating birds optimization</a> </p> <a href="https://publications.waset.org/abstracts/78026/curve-fitting-by-cubic-bezier-curves-using-migrating-birds-optimization-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78026.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">336</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3145</span> Development, Optimization, and Validation of a Synchronous Fluorescence Spectroscopic Method with Multivariate Calibration for the Determination of Amlodipine and Olmesartan Implementing: Experimental Design</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Noha%20Ibrahim">Noha Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Eman%20S.%20Elzanfaly"> Eman S. Elzanfaly</a>, <a href="https://publications.waset.org/abstracts/search?q=Said%20A.%20Hassan"> Said A. Hassan</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20E.%20El%20Gendy"> Ahmed E. El Gendy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objectives: The purpose of the study is to develop a sensitive synchronous spectrofluorimetric method with multivariate calibration after studying and optimizing the different variables affecting the native fluorescence intensity of amlodipine and olmesartan implementing an experimental design approach. Method: In the first step, the fractional factorial design used to screen independent factors affecting the intensity of both drugs. The objective of the second step was to optimize the method performance using a Central Composite Face-centred (CCF) design. The optimal experimental conditions obtained from this study were; a temperature of (15°C ± 0.5), the solvent of 0.05N HCl and methanol with a ratio of (90:10, v/v respectively), Δλ of 42 and the addition of 1.48 % surfactant providing a sensitive measurement of amlodipine and olmesartan. The resolution of the binary mixture with a multivariate calibration method has been accomplished mainly by using partial least squares (PLS) model. Results: The recovery percentage for amlodipine besylate and atorvastatin calcium in tablets dosage form were found to be (102 ± 0.24, 99.56 ± 0.10, for amlodipine and Olmesartan, respectively). Conclusion: Method is valid according to some International Conference on Harmonization (ICH) guidelines, providing to be linear over a range of 200-300, 500-1500 ng mL⁻¹ for amlodipine and Olmesartan. The methods were successful to estimate amlodipine besylate and olmesartan in bulk powder and pharmaceutical preparation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=amlodipine" title="amlodipine">amlodipine</a>, <a href="https://publications.waset.org/abstracts/search?q=central%20composite%20face-centred%20design" title=" central composite face-centred design"> central composite face-centred design</a>, <a href="https://publications.waset.org/abstracts/search?q=experimental%20design" title=" experimental design"> experimental design</a>, <a href="https://publications.waset.org/abstracts/search?q=fractional%20factorial%20design" title=" fractional factorial design"> fractional factorial design</a>, <a href="https://publications.waset.org/abstracts/search?q=multivariate%20calibration" title=" multivariate calibration"> multivariate calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=olmesartan" title=" olmesartan"> olmesartan</a> </p> <a href="https://publications.waset.org/abstracts/120092/development-optimization-and-validation-of-a-synchronous-fluorescence-spectroscopic-method-with-multivariate-calibration-for-the-determination-of-amlodipine-and-olmesartan-implementing-experimental-design" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/120092.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">149</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3144</span> Imaging of Underground Targets with an Improved Back-Projection Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Akbari">Alireza Akbari</a>, <a href="https://publications.waset.org/abstracts/search?q=Gelareh%20Babaee%20Khou"> Gelareh Babaee Khou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ground Penetrating Radar (GPR) is an important nondestructive remote sensing tool that has been used in both military and civilian fields. Recently, GPR imaging has attracted lots of attention in detection of subsurface shallow small targets such as landmines and unexploded ordnance and also imaging behind the wall for security applications. For the monostatic arrangement in the space-time GPR image, a single point target appears as a hyperbolic curve because of the different trip times of the EM wave when the radar moves along a synthetic aperture and collects reflectivity of the subsurface targets. With this hyperbolic curve, the resolution along the synthetic aperture direction shows undesired low resolution features owing to the tails of hyperbola. However, highly accurate information about the size, electromagnetic (EM) reflectivity, and depth of the buried objects is essential in most GPR applications. Therefore hyperbolic curve behavior in the space-time GPR image is often willing to be transformed to a focused pattern showing the object's true location and size together with its EM scattering. The common goal in a typical GPR image is to display the information of the spatial location and the reflectivity of an underground object. Therefore, the main challenge of GPR imaging technique is to devise an image reconstruction algorithm that provides high resolution and good suppression of strong artifacts and noise. In this paper, at first, the standard back-projection (BP) algorithm that was adapted to GPR imaging applications used for the image reconstruction. The standard BP algorithm was limited with against strong noise and a lot of artifacts, which have adverse effects on the following work like detection targets. Thus, an improved BP is based on cross-correlation between the receiving signals proposed for decreasing noises and suppression artifacts. To improve the quality of the results of proposed BP imaging algorithm, a weight factor was designed for each point in region imaging. Compared to a standard BP algorithm scheme, the improved algorithm produces images of higher quality and resolution. This proposed improved BP algorithm was applied on the simulation and the real GPR data and the results showed that the proposed improved BP imaging algorithm has a superior suppression artifacts and produces images with high quality and resolution. In order to quantitatively describe the imaging results on the effect of artifact suppression, focusing parameter was evaluated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=algorithm" title="algorithm">algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=back-projection" title=" back-projection"> back-projection</a>, <a href="https://publications.waset.org/abstracts/search?q=GPR" title=" GPR"> GPR</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing "> remote sensing </a> </p> <a href="https://publications.waset.org/abstracts/30308/imaging-of-underground-targets-with-an-improved-back-projection-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30308.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">452</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3143</span> Bifurcation Curve for Semipositone Problem with Minkowski-Curvature Operator</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shao-Yuan%20Huang">Shao-Yuan Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We study the shape of the bifurcation curve of positive solutions for the semipositone problem with the Minkowski-curvature operator. The Minkowski-curvature problem plays an important role in certain fundamental issues in differential geometry and in the special theory of relativity. In addition, it is well known that studying the multiplicity of positive solutions is equivalent to studying the shape of the bifurcation curve. By the shape of the bifurcation curve, we can understand the change in the multiplicity of positive solutions with varying parameters. In this paper, our main technique is a time-map method used in Corsato's PhD Thesis. By this method, studying the shape of the bifurcation curve is equivalent to studying the shape of a certain function T with improper integral. Generally speaking, it is difficult to study the shape of T. So, in this paper, we consider two cases that the nonlinearity is convex or concave. Thus we obtain the following results: (i) If f''(u) < 0 for u > 0, then the bifurcation curve is C-shaped. (ii) If f''(u) > 0 for u > 0, then there exists η>β such that the bifurcation curve does not exist for 0 <L≤ η and is C- like shaped for L>η. Furthermore, we prove that the bifurcation is C-shaped for L > η under a certain condition. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bifurcation%20curve" title="bifurcation curve">bifurcation curve</a>, <a href="https://publications.waset.org/abstracts/search?q=Minkowski-curvature%20problem" title=" Minkowski-curvature problem"> Minkowski-curvature problem</a>, <a href="https://publications.waset.org/abstracts/search?q=positive%20solution" title=" positive solution"> positive solution</a>, <a href="https://publications.waset.org/abstracts/search?q=time-map%20method" title=" time-map method"> time-map method</a> </p> <a href="https://publications.waset.org/abstracts/159183/bifurcation-curve-for-semipositone-problem-with-minkowski-curvature-operator" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159183.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">103</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3142</span> Runoff Estimation Using NRCS-CN Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=E.%20K.%20Naseela">E. K. Naseela</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20M.%20Dodamani"> B. M. Dodamani</a>, <a href="https://publications.waset.org/abstracts/search?q=Chaithra%20Chandran"> Chaithra Chandran</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The GIS and remote sensing techniques facilitate accurate estimation of surface runoff from watershed. In the present study an attempt has been made to evaluate the applicability of Natural Resources Service Curve Number method using GIS and Remote sensing technique in the upper Krishna basin (69,425 Sq.km). Landsat 7 (with resolution 30 m) satellite data for the year 2012 has been used for the preparation of land use land cover (LU/LC) map. The hydrologic soil group is mapped using GIS platform. The weighted curve numbers (CN) for all the 5 subcatchments calculated on the basis of LU/LC type and hydrologic soil class in the area by considering antecedent moisture condition. Monthly rainfall data was available for 58 raingauge stations. Overlay technique is adopted for generating weighted curve number. Results of the study show that land use changes determined from satellite images are useful in studying the runoff response of the basin. The results showed that there is no significant difference between observed and estimated runoff depths. For each subcatchment, statistically positive correlations were detected between observed and estimated runoff depth (0.6<R^2<1). Therefore, the study reveals that Remote Sensing and GIS based NRCS-CN model can be used effectively to estimate the runoff from the ungauged watersheds when adequate hydrological information is not available. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=curve%20number" title="curve number">curve number</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=runoff" title=" runoff"> runoff</a> </p> <a href="https://publications.waset.org/abstracts/32748/runoff-estimation-using-nrcs-cn-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32748.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">539</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3141</span> Framework for Performance Measure of Super Resolution Imaging</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Varsha%20Hemant%20Patil">Varsha Hemant Patil</a>, <a href="https://publications.waset.org/abstracts/search?q=Swati%20A.%20Bhavsar"> Swati A. Bhavsar</a>, <a href="https://publications.waset.org/abstracts/search?q=Abolee%20H.%20Patil"> Abolee H. Patil</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Image quality assessment plays an important role in image evaluation. This paper aims to present an investigation of classic techniques in use for image quality assessment, especially for super-resolution imaging. Researchers have contributed a lot towards the development of super-resolution imaging techniques. However, not much attention is paid to the development of metrics for testing the performance of developed techniques. In this paper, the study report of existing image quality measures is given. The paper classifies reviewed approaches according to functionality and suitability for super-resolution imaging. Probable modifications and improvements of these to suit super-resolution imaging are presented. The prime goal of the paper is to provide a comprehensive reference source for researchers working towards super-resolution imaging and suggest a better framework for measuring the performance of super-resolution imaging techniques. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=interpolation" title="interpolation">interpolation</a>, <a href="https://publications.waset.org/abstracts/search?q=MSE" title=" MSE"> MSE</a>, <a href="https://publications.waset.org/abstracts/search?q=PSNR" title=" PSNR"> PSNR</a>, <a href="https://publications.waset.org/abstracts/search?q=SSIM" title=" SSIM"> SSIM</a>, <a href="https://publications.waset.org/abstracts/search?q=super%20resolution" title=" super resolution"> super resolution</a> </p> <a href="https://publications.waset.org/abstracts/159819/framework-for-performance-measure-of-super-resolution-imaging" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159819.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">98</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3140</span> Multivariate Genome-Wide Association Studies for Identifying Additional Loci for Myopia </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qiao%20Fan">Qiao Fan</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaobo%20Guo"> Xiaobo Guo</a>, <a href="https://publications.waset.org/abstracts/search?q=Junxian%20Zhu"> Junxian Zhu</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaohu%20Ding"> Xiaohu Ding</a>, <a href="https://publications.waset.org/abstracts/search?q=Ching-Yu%20Cheng"> Ching-Yu Cheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Tien-Yin%20Wong"> Tien-Yin Wong</a>, <a href="https://publications.waset.org/abstracts/search?q=Mingguang%20He"> Mingguang He</a>, <a href="https://publications.waset.org/abstracts/search?q=Heping%20Zhang"> Heping Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xueqin%20Wang"> Xueqin Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A systematic, simultaneous analysis of multiple phenotypes in genome-wide association studies (GWASs) draws a great attention to integrate the signals from single phenotypes with increased power. However, lacking an interpretable and efficient multivariate GWAS analysis impede the application of such approach. In this study, we propose to decompose the multivariate model into a series of simple univariate models. This transformation illuminates what exactly the individual trait contributes to the significant signals from the multivariate analyses. By employing our approach in the analysis of three myopia-related endophenotypes from the Singapore Malay Eye Study (SIMES), we identify novel candidate loci which were successfully validated in an independent Guangzhou Twin Eye Study (GTES). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GWAS%20multivariate" title="GWAS multivariate">GWAS multivariate</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20traits" title=" multiple traits"> multiple traits</a>, <a href="https://publications.waset.org/abstracts/search?q=myopia" title=" myopia"> myopia</a>, <a href="https://publications.waset.org/abstracts/search?q=association" title=" association"> association</a> </p> <a href="https://publications.waset.org/abstracts/79085/multivariate-genome-wide-association-studies-for-identifying-additional-loci-for-myopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79085.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">224</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3139</span> Reliable Method for Estimating Rating Curves in the Natural Rivers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arash%20%20Ahmadi">Arash Ahmadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Amirreza%20Kavousizadeh"> Amirreza Kavousizadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Sanaz%20Heidarzadeh"> Sanaz Heidarzadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Stage-discharge curve is one of the conventional methods for continuous river flow measurement. In this paper, an innovative approach is proposed for predicting the stage-discharge relationship using the application of isovel contours. Using the proposed method, it is possible to estimate the stage-discharge curve in the whole section with only using discharge information from just one arbitrary water level. For this purpose, multivariate relationships are used to determine the mean velocity in a cross-section. The unknown exponents of the proposed relationship have been obtained by using the second version of the Strength Pareto Evolutionary Algorithm (SPEA2), and the appropriate equation was selected by applying the TOPSIS (Technique for Order Preferences by Similarity to an Ideal Solution) approach. Results showed a close agreement between the estimated and observed data in the different cross-sections. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=rating%20curves" title="rating curves">rating curves</a>, <a href="https://publications.waset.org/abstracts/search?q=SPEA2" title=" SPEA2"> SPEA2</a>, <a href="https://publications.waset.org/abstracts/search?q=natural%20rivers" title=" natural rivers"> natural rivers</a>, <a href="https://publications.waset.org/abstracts/search?q=bed%20roughness%20distribution" title=" bed roughness distribution"> bed roughness distribution</a> </p> <a href="https://publications.waset.org/abstracts/123107/reliable-method-for-estimating-rating-curves-in-the-natural-rivers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123107.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">158</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3138</span> Solving 94-Bit ECDLP with 70 Computers in Parallel</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shunsuke%20Miyoshi">Shunsuke Miyoshi</a>, <a href="https://publications.waset.org/abstracts/search?q=Yasuyuki%20Nogami"> Yasuyuki Nogami</a>, <a href="https://publications.waset.org/abstracts/search?q=Takuya%20Kusaka"> Takuya Kusaka</a>, <a href="https://publications.waset.org/abstracts/search?q=Nariyoshi%20Yamai"> Nariyoshi Yamai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Elliptic curve discrete logarithm problem (ECDLP) is one of problems on which the security of pairing-based cryptography is based. This paper considers Pollard's rho method to evaluate the security of ECDLP on Barreto-Naehrig (BN) curve that is an efficient pairing-friendly curve. Some techniques are proposed to make the rho method efficient. Especially, the group structure on BN curve, distinguished point method, and Montgomery trick are well-known techniques. This paper applies these techniques and shows its optimization. According to the experimental results for which a large-scale parallel system with MySQL is applied, 94-bit ECDLP was solved about 28 hours by parallelizing 71 computers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pollard%27s%20rho%20method" title="Pollard's rho method">Pollard's rho method</a>, <a href="https://publications.waset.org/abstracts/search?q=BN%20curve" title=" BN curve"> BN curve</a>, <a href="https://publications.waset.org/abstracts/search?q=Montgomery%20multiplication" title=" Montgomery multiplication"> Montgomery multiplication</a> </p> <a href="https://publications.waset.org/abstracts/28038/solving-94-bit-ecdlp-with-70-computers-in-parallel" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28038.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">272</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3137</span> Generating Arabic Fonts Using Rational Cubic Ball Functions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fakharuddin%20Ibrahim">Fakharuddin Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Jamaludin%20Md.%20Ali"> Jamaludin Md. Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Ramli"> Ahmad Ramli </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we will discuss about the data interpolation by using the rational cubic Ball curve. To generate a curve with a better and satisfactory smoothness, the curve segments must be connected with a certain amount of continuity. The continuity that we will consider is of type G<sup>1</sup> continuity. The conditions considered are known as the G<sup>1</sup> Hermite condition. A simple application of the proposed method is to generate an Arabic font satisfying the required continuity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20interpolation" title="data interpolation">data interpolation</a>, <a href="https://publications.waset.org/abstracts/search?q=rational%20ball%20curve" title=" rational ball curve"> rational ball curve</a>, <a href="https://publications.waset.org/abstracts/search?q=hermite%20condition" title=" hermite condition"> hermite condition</a>, <a href="https://publications.waset.org/abstracts/search?q=continuity" title=" continuity"> continuity</a> </p> <a href="https://publications.waset.org/abstracts/44202/generating-arabic-fonts-using-rational-cubic-ball-functions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44202.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">429</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3136</span> Disaggregation the Daily Rainfall Dataset into Sub-Daily Resolution in the Temperate Oceanic Climate Region</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Bakhshi">Mohammad Bakhshi</a>, <a href="https://publications.waset.org/abstracts/search?q=Firas%20Al%20Janabi"> Firas Al Janabi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> High resolution rain data are very important to fulfill the input of hydrological models. Among models of high-resolution rainfall data generation, the temporal disaggregation was chosen for this study. The paper attempts to generate three different rainfall resolutions (4-hourly, hourly and 10-minutes) from daily for around 20-year record period. The process was done by DiMoN tool which is based on random cascade model and method of fragment. Differences between observed and simulated rain dataset are evaluated with variety of statistical and empirical methods: Kolmogorov-Smirnov test (K-S), usual statistics, and Exceedance probability. The tool worked well at preserving the daily rainfall values in wet days, however, the generated data are cumulated in a shorter time period and made stronger storms. It is demonstrated that the difference between generated and observed cumulative distribution function curve of 4-hourly datasets is passed the K-S test criteria while in hourly and 10-minutes datasets the P-value should be employed to prove that their differences were reasonable. The results are encouraging considering the overestimation of generated high-resolution rainfall data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DiMoN%20Tool" title="DiMoN Tool">DiMoN Tool</a>, <a href="https://publications.waset.org/abstracts/search?q=disaggregation" title=" disaggregation"> disaggregation</a>, <a href="https://publications.waset.org/abstracts/search?q=exceedance%20probability" title=" exceedance probability"> exceedance probability</a>, <a href="https://publications.waset.org/abstracts/search?q=Kolmogorov-Smirnov%20test" title=" Kolmogorov-Smirnov test"> Kolmogorov-Smirnov test</a>, <a href="https://publications.waset.org/abstracts/search?q=rainfall" title=" rainfall"> rainfall</a> </p> <a href="https://publications.waset.org/abstracts/99470/disaggregation-the-daily-rainfall-dataset-into-sub-daily-resolution-in-the-temperate-oceanic-climate-region" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/99470.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">201</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3135</span> An Optimized RDP Algorithm for Curve Approximation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jean-Pierre%20Lomaliza">Jean-Pierre Lomaliza</a>, <a href="https://publications.waset.org/abstracts/search?q=Kwang-Seok%20Moon"> Kwang-Seok Moon</a>, <a href="https://publications.waset.org/abstracts/search?q=Hanhoon%20Park"> Hanhoon Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is well-known that Ramer Douglas Peucker (RDP) algorithm greatly depends on the method of choosing starting points. Therefore, this paper focuses on finding such starting points that will optimize the results of RDP algorithm. Specifically, this paper proposes a curve approximation algorithm that finds flat points, called essential points, of an input curve, divides the curve into corner-like sub-curves using the essential points, and applies the RDP algorithm to the sub-curves. The number of essential points play a role on optimizing the approximation results by balancing the degree of shape information loss and the amount of data reduction. Through experiments with curves of various types and complexities of shape, we compared the performance of the proposed algorithm with three other methods, i.e., the RDP algorithm itself and its variants. As a result, the proposed algorithm outperformed the others in term of maintaining the original shapes of the input curve, which is important in various applications like pattern recognition. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=curve%20approximation" title="curve approximation">curve approximation</a>, <a href="https://publications.waset.org/abstracts/search?q=essential%20point" title=" essential point"> essential point</a>, <a href="https://publications.waset.org/abstracts/search?q=RDP%20algorithm" title=" RDP algorithm"> RDP algorithm</a> </p> <a href="https://publications.waset.org/abstracts/29359/an-optimized-rdp-algorithm-for-curve-approximation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29359.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">535</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3134</span> A Cohesive Zone Model with Parameters Determined by Uniaxial Stress-Strain Curve</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Y.J.%20Wang">Y.J. Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Q.%20Ru"> C. Q. Ru</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A key issue of cohesive zone models is how to determine the cohesive zone model parameters based on real material test data. In this paper, uniaxial nominal stress-strain curve (SS curve) is used to determine two key parameters of a cohesive zone model (CZM): The maximum traction and the area under the curve of traction-separation law (TSL). To this end, the true SS curve is obtained based on the nominal SS curve, and the relationship between the nominal SS curve and TSL is derived based on an assumption that the stress for cracking should be the same in both CZM and the real material. In particular, the true SS curve after necking is derived from the nominal SS curve by taking the average of the power law extrapolation and the linear extrapolation, and a damage factor is introduced to offset the true stress reduction caused by the voids generated at the necking zone. The maximum traction of the TSL is equal to the maximum true stress calculated based on the damage factor at the end of hardening. In addition, a simple specimen is modeled by Abaqus/Standard to calculate the critical J-integral, and the fracture energy calculated by the critical J-integral represents the stored strain energy in the necking zone calculated by the true SS curve. Finally, the CZM parameters obtained by the present method are compared to those used in a previous related work for a simulation of the drop-weight tear test. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dynamic%20fracture" title="dynamic fracture">dynamic fracture</a>, <a href="https://publications.waset.org/abstracts/search?q=cohesive%20zone%20model" title=" cohesive zone model"> cohesive zone model</a>, <a href="https://publications.waset.org/abstracts/search?q=traction-separation%20law" title=" traction-separation law"> traction-separation law</a>, <a href="https://publications.waset.org/abstracts/search?q=stress-strain%20curve" title=" stress-strain curve"> stress-strain curve</a>, <a href="https://publications.waset.org/abstracts/search?q=J-integral" title=" J-integral"> J-integral</a> </p> <a href="https://publications.waset.org/abstracts/21419/a-cohesive-zone-model-with-parameters-determined-by-uniaxial-stress-strain-curve" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21419.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">474</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3133</span> Determination of Cohesive Zone Model’s Parameters Based On the Uniaxial Stress-Strain Curve</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Y.%20J.%20Wang">Y. J. Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Q.%20Ru"> C. Q. Ru</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A key issue of cohesive zone models is how to determine the cohesive zone model (CZM) parameters based on real material test data. In this paper, uniaxial nominal stress-strain curve (SS curve) is used to determine two key parameters of a cohesive zone model: the maximum traction and the area under the curve of traction-separation law (TSL). To this end, the true SS curve is obtained based on the nominal SS curve, and the relationship between the nominal SS curve and TSL is derived based on an assumption that the stress for cracking should be the same in both CZM and the real material. In particular, the true SS curve after necking is derived from the nominal SS curve by taking the average of the power law extrapolation and the linear extrapolation, and a damage factor is introduced to offset the true stress reduction caused by the voids generated at the necking zone. The maximum traction of the TSL is equal to the maximum true stress calculated based on the damage factor at the end of hardening. In addition, a simple specimen is simulated by Abaqus/Standard to calculate the critical J-integral, and the fracture energy calculated by the critical J-integral represents the stored strain energy in the necking zone calculated by the true SS curve. Finally, the CZM parameters obtained by the present method are compared to those used in a previous related work for a simulation of the drop-weight tear test. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dynamic%20fracture" title="dynamic fracture">dynamic fracture</a>, <a href="https://publications.waset.org/abstracts/search?q=cohesive%20zone%20model" title=" cohesive zone model"> cohesive zone model</a>, <a href="https://publications.waset.org/abstracts/search?q=traction-separation%20law" title=" traction-separation law"> traction-separation law</a>, <a href="https://publications.waset.org/abstracts/search?q=stress-strain%20curve" title=" stress-strain curve"> stress-strain curve</a>, <a href="https://publications.waset.org/abstracts/search?q=J-integral" title=" J-integral"> J-integral</a> </p> <a href="https://publications.waset.org/abstracts/23486/determination-of-cohesive-zone-models-parameters-based-on-the-uniaxial-stress-strain-curve" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23486.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">513</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3132</span> Detection of Keypoint in Press-Fit Curve Based on Convolutional Neural Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shoujia%20Fang">Shoujia Fang</a>, <a href="https://publications.waset.org/abstracts/search?q=Guoqing%20Ding"> Guoqing Ding</a>, <a href="https://publications.waset.org/abstracts/search?q=Xin%20Chen"> Xin Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The quality of press-fit assembly is closely related to reliability and safety of product. The paper proposed a keypoint detection method based on convolutional neural network to improve the accuracy of keypoint detection in press-fit curve. It would provide an auxiliary basis for judging quality of press-fit assembly. The press-fit curve is a curve of press-fit force and displacement. Both force data and distance data are time-series data. Therefore, one-dimensional convolutional neural network is used to process the press-fit curve. After the obtained press-fit data is filtered, the multi-layer one-dimensional convolutional neural network is used to perform the automatic learning of press-fit curve features, and then sent to the multi-layer perceptron to finally output keypoint of the curve. We used the data of press-fit assembly equipment in the actual production process to train CNN model, and we used different data from the same equipment to evaluate the performance of detection. Compared with the existing research result, the performance of detection was significantly improved. This method can provide a reliable basis for the judgment of press-fit quality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=keypoint%20detection" title="keypoint detection">keypoint detection</a>, <a href="https://publications.waset.org/abstracts/search?q=curve%20feature" title=" curve feature"> curve feature</a>, <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20network" title=" convolutional neural network"> convolutional neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=press-fit%20assembly" title=" press-fit assembly"> press-fit assembly</a> </p> <a href="https://publications.waset.org/abstracts/98263/detection-of-keypoint-in-press-fit-curve-based-on-convolutional-neural-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98263.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">228</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3131</span> Increasing the Apparent Time Resolution of Tc-99m Diethylenetriamine Pentaacetic Acid Galactosyl Human Serum Albumin Dynamic SPECT by Use of an 180-Degree Interpolation Method </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yasuyuki%20Takahashi">Yasuyuki Takahashi</a>, <a href="https://publications.waset.org/abstracts/search?q=Maya%20Yamashita"> Maya Yamashita</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyoko%20Saito"> Kyoko Saito</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In general, dynamic SPECT data acquisition needs a few minutes for one rotation. Thus, the time-activity curve (TAC) derived from the dynamic SPECT is relatively coarse. In order to effectively shorten the interval, between data points, we adopted a 180-degree interpolation method. This method is already used for reconstruction of the X-ray CT data. In this study, we applied this 180-degree interpolation method to SPECT and investigated its effectiveness.To briefly describe the 180-degree interpolation method: the 180-degree data in the second half of one rotation are combined with the 180-degree data in the first half of the next rotation to generate a 360-degree data set appropriate for the time halfway between the first and second rotations. In both a phantom and a patient study, the data points from the interpolated images fell in good agreement with the data points tracking the accumulation of 99mTc activity over time for appropriate region of interest. We conclude that data derived from interpolated images improves the apparent time resolution of dynamic SPECT. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dynamic%20SPECT" title="dynamic SPECT">dynamic SPECT</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20resolution" title=" time resolution"> time resolution</a>, <a href="https://publications.waset.org/abstracts/search?q=180-degree%20interpolation%20method" title=" 180-degree interpolation method"> 180-degree interpolation method</a>, <a href="https://publications.waset.org/abstracts/search?q=99mTc-GSA." title=" 99mTc-GSA."> 99mTc-GSA.</a> </p> <a href="https://publications.waset.org/abstracts/12762/increasing-the-apparent-time-resolution-of-tc-99m-diethylenetriamine-pentaacetic-acid-galactosyl-human-serum-albumin-dynamic-spect-by-use-of-an-180-degree-interpolation-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12762.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">493</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3130</span> The Term Structure of Government Bond Yields in an Emerging Market: Empirical Evidence from Pakistan Bond Market</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wali%20Ullah">Wali Ullah</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Nishat"> Muhammad Nishat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study investigates the extent to which the so called Nelson-Siegel model (DNS) and its extended version that accounts for time varying volatility (DNS-EGARCH) can optimally fit the yield curve and predict its future path in the context of an emerging economy. For the in-sample fit, both models fit the curve remarkably well even in the emerging markets. However, the DNS-EGARCH model fits the curve slightly better than the DNS. Moreover, both specifications of yield curve that are based on the Nelson-Siegel functional form outperform the benchmark VAR forecasts at all forecast horizons. The DNS-EGARCH comes with more precise forecasts than the DNS for the 6- and 12-month ahead forecasts, while the two have almost similar performance in terms of RMSE for the very short forecast horizons. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=yield%20curve" title="yield curve">yield curve</a>, <a href="https://publications.waset.org/abstracts/search?q=forecasting" title=" forecasting"> forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=emerging%20markets" title=" emerging markets"> emerging markets</a>, <a href="https://publications.waset.org/abstracts/search?q=Kalman%20filter" title=" Kalman filter"> Kalman filter</a>, <a href="https://publications.waset.org/abstracts/search?q=EGARCH" title=" EGARCH"> EGARCH</a> </p> <a href="https://publications.waset.org/abstracts/17242/the-term-structure-of-government-bond-yields-in-an-emerging-market-empirical-evidence-from-pakistan-bond-market" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17242.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">539</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3129</span> Study of Bifurcation Curve with Aspect Ratio at Low Reynolds Number</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amit%20K.%20Singh">Amit K. Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Subhankar%20Sen"> Subhankar Sen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The bifurcation curve of separation in steady two-dimensional viscous flow past an elliptic cylinder is studied by varying the angle of incidence (α) with different aspect ratio (ratio of minor to major axis). The solutions are based on numerical investigation, using finite element analysis, of the Navier-Stokes equations for incompressible flow. Results are presented for Reynolds number up to 50 and angle of incidence varies from 0° to 90°. Range of aspect ratio (Ar) is from 0.1 to 1 (in steps of 0.1) and flow is considered as unbounded flow. Bifurcation curve represents the locus of Reynolds numbers (Res) at which flow detaches or separates from the surface of the body at a given α and Ar. In earlier studies, effect of Ar on laminar separation curve or bifurcation curve is limited for Ar = 0.1, 0.2, 0.5 and 0.8. Some results are also available at α = 90° and 45°. The present study attempts to provide a systematic data and clear understanding on the effect of Ar at bifurcation curve and its point of maxima. In addition, issues regarding location of separation angle and maximum ratio of coefficient of lift to drag are studied. We found that nature of curve, separation angle and maximum ratio of lift to drag changes considerably with respect to change in Ar. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aspect%20ratio" title="aspect ratio">aspect ratio</a>, <a href="https://publications.waset.org/abstracts/search?q=bifurcation%20curve" title=" bifurcation curve"> bifurcation curve</a>, <a href="https://publications.waset.org/abstracts/search?q=elliptic%20cylinder" title=" elliptic cylinder"> elliptic cylinder</a>, <a href="https://publications.waset.org/abstracts/search?q=GMRES" title=" GMRES"> GMRES</a>, <a href="https://publications.waset.org/abstracts/search?q=stabilized%20finite-element" title=" stabilized finite-element"> stabilized finite-element</a> </p> <a href="https://publications.waset.org/abstracts/40551/study-of-bifurcation-curve-with-aspect-ratio-at-low-reynolds-number" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40551.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">342</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3128</span> Choosing between the Regression Correlation, the Rank Correlation, and the Correlation Curve</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Roger%20L.%20Goodwin">Roger L. Goodwin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a rank correlation curve. The traditional correlation coefficient is valid for both continuous variables and for integer variables using rank statistics. Since the correlation coefficient has already been established in rank statistics by Spearman, such a calculation can be extended to the correlation curve. This paper presents two survey questions. The survey collected non-continuous variables. We will show weak to moderate correlation. Obviously, one question has a negative effect on the other. A review of the qualitative literature can answer which question and why. The rank correlation curve shows which collection of responses has a positive slope and which collection of responses has a negative slope. Such information is unavailable from the flat, "first-glance" correlation statistics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bayesian%20estimation" title="Bayesian estimation">Bayesian estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=regression%20model" title=" regression model"> regression model</a>, <a href="https://publications.waset.org/abstracts/search?q=rank%20statistics" title=" rank statistics"> rank statistics</a>, <a href="https://publications.waset.org/abstracts/search?q=correlation" title=" correlation"> correlation</a>, <a href="https://publications.waset.org/abstracts/search?q=correlation%20curve" title=" correlation curve"> correlation curve</a> </p> <a href="https://publications.waset.org/abstracts/9847/choosing-between-the-regression-correlation-the-rank-correlation-and-the-correlation-curve" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9847.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">475</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3127</span> Representation of the Solution of One Dynamical System on the Plane</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kushakov%20Kholmurodjon">Kushakov Kholmurodjon</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammadjonov%20Akbarshox"> Muhammadjonov Akbarshox</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This present paper is devoted to a system of second-order nonlinear differential equations with a special right-hand side, exactly, the linear part and a third-order polynomial of a special form. It is shown that for some relations between the parameters, there is a second-order curve in which trajectories leaving the points of this curve remain in the same place. Thus, the curve is invariant with respect to the given system. Moreover, this system is invariant under a non-degenerate linear transformation of variables. The form of this curve, depending on the relations between the parameters and the eigenvalues of the matrix, is proved. All solutions of this system of differential equations are shown analytically. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dynamic%20system" title="dynamic system">dynamic system</a>, <a href="https://publications.waset.org/abstracts/search?q=ellipse" title=" ellipse"> ellipse</a>, <a href="https://publications.waset.org/abstracts/search?q=hyperbola" title=" hyperbola"> hyperbola</a>, <a href="https://publications.waset.org/abstracts/search?q=Hess%20system" title=" Hess system"> Hess system</a>, <a href="https://publications.waset.org/abstracts/search?q=polar%20coordinate%20system" title=" polar coordinate system"> polar coordinate system</a> </p> <a href="https://publications.waset.org/abstracts/140142/representation-of-the-solution-of-one-dynamical-system-on-the-plane" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/140142.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">193</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3126</span> A Bathtub Curve from Nonparametric Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eduardo%20C.%20Guardia">Eduardo C. Guardia</a>, <a href="https://publications.waset.org/abstracts/search?q=Jose%20W.%20M.%20Lima"> Jose W. M. Lima</a>, <a href="https://publications.waset.org/abstracts/search?q=Afonso%20H.%20M.%20Santos"> Afonso H. M. Santos</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a nonparametric method to obtain the hazard rate “Bathtub curve” for power system components. The model is a mixture of the three known phases of a component life, the decreasing failure rate (DFR), the constant failure rate (CFR) and the increasing failure rate (IFR) represented by three parametric Weibull models. The parameters are obtained from a simultaneous fitting process of the model to the Kernel nonparametric hazard rate curve. From the Weibull parameters and failure rate curves the useful lifetime and the characteristic lifetime were defined. To demonstrate the model the historic time-to-failure of distribution transformers were used as an example. The resulted “Bathtub curve” shows the failure rate for the equipment lifetime which can be applied in economic and replacement decision models. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bathtub%20curve" title="bathtub curve">bathtub curve</a>, <a href="https://publications.waset.org/abstracts/search?q=failure%20analysis" title=" failure analysis"> failure analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=lifetime%20estimation" title=" lifetime estimation"> lifetime estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=parameter%20estimation" title=" parameter estimation"> parameter estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=Weibull%20distribution" title=" Weibull distribution"> Weibull distribution</a> </p> <a href="https://publications.waset.org/abstracts/10780/a-bathtub-curve-from-nonparametric-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10780.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">445</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3125</span> Empirical Research on Preference for Conflict Resolution Styles of Owners and Contractors in China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Junqi%20Zhao">Junqi Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Yongqiang%20Chen"> Yongqiang Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The preference for different conflict resolution styles are influenced by cultural background and power distance of two parties involving in conflict. This research put forward 7 hypotheses and tested the preference differences of the five conflict resolution styles between Chinese owner and contractor as well as the preference differences concerning the same style between two parties. The research sample includes 202 practitioners from construction enterprises in mainland China. Research result found that theories concerning conflict resolution styles could be applied in the Chinese construction industry. Some results of this research were not in line with former research, and this research also gave explanation to the differences from the characteristics of construction projects. Based on the findings, certain suggestions were made to serve as a guidance for managers to choose appropriate conflict resolution styles for a better handling of conflict. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chinese%20owner%20and%20contractor" title="Chinese owner and contractor">Chinese owner and contractor</a>, <a href="https://publications.waset.org/abstracts/search?q=conflict" title=" conflict"> conflict</a>, <a href="https://publications.waset.org/abstracts/search?q=construction%20project" title=" construction project"> construction project</a>, <a href="https://publications.waset.org/abstracts/search?q=conflict%20resolution%20styles" title=" conflict resolution styles"> conflict resolution styles</a> </p> <a href="https://publications.waset.org/abstracts/3663/empirical-research-on-preference-for-conflict-resolution-styles-of-owners-and-contractors-in-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3663.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">531</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=multivariate%20curve%20resolution&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=multivariate%20curve%20resolution&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=multivariate%20curve%20resolution&page=4">4</a></li> <li class="page-item"><a class="page-link" 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