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method</title> <meta name="description" content="Search results for: load contour method"> <meta name="keywords" content="load contour method"> <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 class="d-block d-lg-none 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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="load contour method"> <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> 20947</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: load contour method</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">20947</span> An Improved Method to Eliminate the Distortion of Terrain Relief in DEM Generation Using Contour Lines</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=RyongJin%20Ri">RyongJin Ri</a>, <a href="https://publications.waset.org/abstracts/search?q=SongChol%20Kim"> SongChol Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=SungIl%20Jon"> SungIl Jon</a>, <a href="https://publications.waset.org/abstracts/search?q=KyongIl%20Ji"> KyongIl Ji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> : In this paper, an improved algorithm is proposed to eliminate the distortion of terrain relief when generating DEMs from digitized contour lines in the area bounded by inflectional contour lines such as narrow and long mountain ridges or valleys. To this end, mountain ridge lines (valley lines) are extracted from the area, and the steepest slope segment is detected based on ridge or valley lines. After detecting the steepest slope segment, the elevation of the grid points is interpolated on the profile section using the cubic Hermit function. The experiment shows that the accuracy of the DEM of the terrain-distortionable region generated by the proposed method is improved significantly. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DEM" title="DEM">DEM</a>, <a href="https://publications.waset.org/abstracts/search?q=contour%20lines" title=" contour lines"> contour lines</a>, <a href="https://publications.waset.org/abstracts/search?q=ridge%20line" title=" ridge line"> ridge line</a>, <a href="https://publications.waset.org/abstracts/search?q=steepest%20slope%20segment" title=" steepest slope segment"> steepest slope segment</a> </p> <a href="https://publications.waset.org/abstracts/194164/an-improved-method-to-eliminate-the-distortion-of-terrain-relief-in-dem-generation-using-contour-lines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/194164.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">8</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">20946</span> Concentric Circle Detection based on Edge Pre-Classification and Extended RANSAC</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhongjie%20Yu">Zhongjie Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Hancheng%20Yu"> Hancheng Yu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we propose an effective method to detect concentric circles with imperfect edges. First, the gradient of edge pixel is coded and a 2-D lookup table is built to speed up normal generation. Then we take an accumulator to estimate the rough center and collect plausible edges of concentric circles through gradient and distance. Later, we take the contour-based method, which takes the contour and edge intersection, to pre-classify the edges. Finally, we use the extended RANSAC method to find all the candidate circles. The center of concentric circles is determined by the two circles with the highest concentricity. Experimental results demonstrate that the proposed method has both good performance and accuracy for the detection of concentric circles. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=concentric%20circle%20detection" title="concentric circle detection">concentric circle detection</a>, <a href="https://publications.waset.org/abstracts/search?q=gradient" title=" gradient"> gradient</a>, <a href="https://publications.waset.org/abstracts/search?q=contour" title=" contour"> contour</a>, <a href="https://publications.waset.org/abstracts/search?q=edge%20pre-classification" title=" edge pre-classification"> edge pre-classification</a>, <a href="https://publications.waset.org/abstracts/search?q=RANSAC" title=" RANSAC"> RANSAC</a> </p> <a href="https://publications.waset.org/abstracts/144332/concentric-circle-detection-based-on-edge-pre-classification-and-extended-ransac" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144332.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">131</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">20945</span> Image Enhancement Algorithm of Photoacoustic Tomography Using Active Contour Filtering</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Prasannakumar%20Palaniappan">Prasannakumar Palaniappan</a>, <a href="https://publications.waset.org/abstracts/search?q=Dong%20Ho%20Shin"> Dong Ho Shin</a>, <a href="https://publications.waset.org/abstracts/search?q=Chul%20Gyu%20Song"> Chul Gyu Song</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The photoacoustic images are obtained from a custom developed linear array photoacoustic tomography system. The biological specimens are imitated by conducting phantom tests in order to retrieve a fully functional photoacoustic image. The acquired image undergoes the active region based contour filtering to remove the noise and accurately segment the object area for further processing. The universal back projection method is used as the image reconstruction algorithm. The active contour filtering is analyzed by evaluating the signal to noise ratio and comparing it with the other filtering methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=contour%20filtering" title="contour filtering">contour filtering</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20array" title=" linear array"> linear array</a>, <a href="https://publications.waset.org/abstracts/search?q=photoacoustic%20tomography" title=" photoacoustic tomography"> photoacoustic tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=universal%20back%20projection" title=" universal back projection"> universal back projection</a> </p> <a href="https://publications.waset.org/abstracts/40626/image-enhancement-algorithm-of-photoacoustic-tomography-using-active-contour-filtering" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40626.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">400</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">20944</span> Combining an Optimized Closed Principal Curve-Based Method and Evolutionary Neural Network for Ultrasound Prostate Segmentation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tao%20Peng">Tao Peng</a>, <a href="https://publications.waset.org/abstracts/search?q=Jing%20Zhao"> Jing Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Yanqing%20Xu"> Yanqing Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Jing%20Cai"> Jing Cai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to missing/ambiguous boundaries between the prostate and neighboring structures, the presence of shadow artifacts, as well as the large variability in prostate shapes, ultrasound prostate segmentation is challenging. To handle these issues, this paper develops a hybrid method for ultrasound prostate segmentation by combining an optimized closed principal curve-based method and the evolutionary neural network; the former can fit curves with great curvature and generate a contour composed of line segments connected by sorted vertices, and the latter is used to express an appropriate map function (represented by parameters of evolutionary neural network) for generating the smooth prostate contour to match the ground truth contour. Both qualitative and quantitative experimental results showed that our proposed method obtains accurate and robust performances. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ultrasound%20prostate%20segmentation" title="ultrasound prostate segmentation">ultrasound prostate segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=optimized%20closed%20polygonal%20segment%20method" title=" optimized closed polygonal segment method"> optimized closed polygonal segment method</a>, <a href="https://publications.waset.org/abstracts/search?q=evolutionary%20neural%20network" title=" evolutionary neural network"> evolutionary neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=smooth%20mathematical%20model" title=" smooth mathematical model"> smooth mathematical model</a>, <a href="https://publications.waset.org/abstracts/search?q=principal%20curve" title=" principal curve"> principal curve</a> </p> <a href="https://publications.waset.org/abstracts/143203/combining-an-optimized-closed-principal-curve-based-method-and-evolutionary-neural-network-for-ultrasound-prostate-segmentation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143203.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">202</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">20943</span> Research of Strong-Column-Weak-Beam Criteria of Reinforced Concrete Frames Subjected to Biaxial Seismic Excitation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chong%20Zhang">Chong Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Mu-Xuan%20Tao"> Mu-Xuan Tao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In several earthquakes, numerous reinforced concrete (RC) frames subjected to seismic excitation demonstrated a collapse pattern characterized by column hinges, though designed according to the Strong-Column-Weak-Beam (S-C-W-B) criteria. The effect of biaxial seismic excitation on the disparity between design and actual performance is carefully investigated in this article. First, a modified load contour method is proposed to derive a closed-form equation of biaxial bending moment strength, which is verified by numerical and experimental tests. Afterwards, a group of time history analyses of a simple frame modeled by fiber beam-column elements subjected to biaxial seismic excitation are conducted to verify that the current S-C-W-B criteria are not adequate to prevent the occurrence of column hinges. A biaxial over-strength factor is developed based on the proposed equation, and the reinforcement of columns is appropriately amplified with this factor to prevent the occurrence of column hinges under biaxial excitation, which is proved to be effective by another group of time history analyses. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biaxial%20bending%20moment%20capacity" title="biaxial bending moment capacity">biaxial bending moment capacity</a>, <a href="https://publications.waset.org/abstracts/search?q=biaxial%20seismic%20excitation" title=" biaxial seismic excitation"> biaxial seismic excitation</a>, <a href="https://publications.waset.org/abstracts/search?q=fiber%20beam%20model" title=" fiber beam model"> fiber beam model</a>, <a href="https://publications.waset.org/abstracts/search?q=load%20contour%20method" title=" load contour method"> load contour method</a>, <a href="https://publications.waset.org/abstracts/search?q=strong-column-weak-beam" title=" strong-column-weak-beam"> strong-column-weak-beam</a> </p> <a href="https://publications.waset.org/abstracts/125740/research-of-strong-column-weak-beam-criteria-of-reinforced-concrete-frames-subjected-to-biaxial-seismic-excitation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/125740.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">99</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">20942</span> Study on Shape Coefficient of Large Statue Building Based on CFD</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wang%20Guangda">Wang Guangda</a>, <a href="https://publications.waset.org/abstracts/search?q=Ma%20Jun"> Ma Jun</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhao%20Caiqi"> Zhao Caiqi</a>, <a href="https://publications.waset.org/abstracts/search?q=Pan%20Rui"> Pan Rui</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wind load is the main control load of large statue structures. Due to the irregular plane and elevation and uneven outer contour, statues’ shape coefficient can not pick up from the current code. Currently a common practice is based on wind tunnel test. But this method is time-consuming and high cost. In this paper, based on the fundamental theory of CFD, using fluid dynamics software of Fluent 15.0, a few large statue structure of 40 to 70m high, which are located in china , including large fairy statues and large Buddha statues, are analyzed by numerical wind tunnel. The results are contrasted with the recommended values in load code and the wind tunnel test results respectively. Results show that the shape coefficient has a good reliability by the numerical wind tunnel method of this kind of building. This will has a certain reference value of wind load values for large statues’ structure. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=large%20statue%20structure" title="large statue structure">large statue structure</a>, <a href="https://publications.waset.org/abstracts/search?q=shape%20coefficient" title=" shape coefficient"> shape coefficient</a>, <a href="https://publications.waset.org/abstracts/search?q=irregular%20structure" title=" irregular structure"> irregular structure</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20tunnel%20test" title=" wind tunnel test"> wind tunnel test</a>, <a href="https://publications.waset.org/abstracts/search?q=numerical%20wind%20tunnel%20simulation" title=" numerical wind tunnel simulation"> numerical wind tunnel simulation</a> </p> <a href="https://publications.waset.org/abstracts/31038/study-on-shape-coefficient-of-large-statue-building-based-on-cfd" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31038.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">20941</span> Particle Filter Supported with the Neural Network for Aircraft Tracking Based on Kernel and Active Contour</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Izadkhah">Mohammad Izadkhah</a>, <a href="https://publications.waset.org/abstracts/search?q=Mojtaba%20Hoseini"> Mojtaba Hoseini</a>, <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Khalili%20Tehrani"> Alireza Khalili Tehrani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper we presented a new method for tracking flying targets in color video sequences based on contour and kernel. The aim of this work is to overcome the problem of losing target in changing light, large displacement, changing speed, and occlusion. The proposed method is made in three steps, estimate the target location by particle filter, segmentation target region using neural network and find the exact contours by greedy snake algorithm. In the proposed method we have used both region and contour information to create target candidate model and this model is dynamically updated during tracking. To avoid the accumulation of errors when updating, target region given to a perceptron neural network to separate the target from background. Then its output used for exact calculation of size and center of the target. Also it is used as the initial contour for the greedy snake algorithm to find the exact target's edge. The proposed algorithm has been tested on a database which contains a lot of challenges such as high speed and agility of aircrafts, background clutter, occlusions, camera movement, and so on. The experimental results show that the use of neural network increases the accuracy of tracking and segmentation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=video%20tracking" title="video tracking">video tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20filter" title=" particle filter"> particle filter</a>, <a href="https://publications.waset.org/abstracts/search?q=greedy%20snake" title=" greedy snake"> greedy snake</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a> </p> <a href="https://publications.waset.org/abstracts/11913/particle-filter-supported-with-the-neural-network-for-aircraft-tracking-based-on-kernel-and-active-contour" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11913.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">20940</span> Optimization Techniques for Microwave Structures</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Malika%20Ourabia">Malika Ourabia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A new and efficient method is presented for the analysis of arbitrarily shaped discontinuities. The discontinuities is characterized using a hybrid spectral/numerical technique. This structure presents an arbitrary number of ports, each one with different orientation and dimensions. This article presents a hybrid method based on multimode contour integral and mode matching techniques. The process is based on segmentation and dividing the structure into key building blocks. We use the multimode contour integral method to analyze the blocks including irregular shape discontinuities. Finally, the multimode scattering matrix of the whole structure can be found by cascading the blocks. Therefore, the new method is suitable for analysis of a wide range of waveguide problems. Therefore, the present approach can be applied easily to the analysis of any multiport junctions and cascade blocks. The accuracy of the method is validated comparing with results for several complex problems found in the literature. CPU times are also included to show the efficiency of the new method proposed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=segmentation" title="segmentation">segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=s%20parameters" title=" s parameters"> s parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a> </p> <a href="https://publications.waset.org/abstracts/30565/optimization-techniques-for-microwave-structures" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30565.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">528</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">20939</span> Image Segmentation Using Active Contours Based on Anisotropic Diffusion</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shafiullah%20Soomro">Shafiullah Soomro</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Active contour is one of the image segmentation techniques and its goal is to capture required object boundaries within an image. In this paper, we propose a novel image segmentation method by using an active contour method based on anisotropic diffusion feature enhancement technique. The traditional active contour methods use only pixel information to perform segmentation, which produces inaccurate results when an image has some noise or complex background. We use Perona and Malik diffusion scheme for feature enhancement, which sharpens the object boundaries and blurs the background variations. Our main contribution is the formulation of a new SPF (signed pressure force) function, which uses global intensity information across the regions. By minimizing an energy function using partial differential framework the proposed method captures semantically meaningful boundaries instead of catching uninterested regions. Finally, we use a Gaussian kernel which eliminates the problem of reinitialization in level set function. We use several synthetic and real images from different modalities to validate the performance of the proposed method. In the experimental section, we have found the proposed method performance is better qualitatively and quantitatively and yield results with higher accuracy compared to other state-of-the-art methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=active%20contours" title="active contours">active contours</a>, <a href="https://publications.waset.org/abstracts/search?q=anisotropic%20diffusion" title=" anisotropic diffusion"> anisotropic diffusion</a>, <a href="https://publications.waset.org/abstracts/search?q=level-set" title=" level-set"> level-set</a>, <a href="https://publications.waset.org/abstracts/search?q=partial%20differential%20equations" title=" partial differential equations"> partial differential equations</a> </p> <a href="https://publications.waset.org/abstracts/94886/image-segmentation-using-active-contours-based-on-anisotropic-diffusion" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94886.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">161</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">20938</span> Temperature Contour Detection of Salt Ice Using Color Thermal Image Segmentation Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Azam%20Fazelpour">Azam Fazelpour</a>, <a href="https://publications.waset.org/abstracts/search?q=Saeed%20Reza%20Dehghani"> Saeed Reza Dehghani</a>, <a href="https://publications.waset.org/abstracts/search?q=Vlastimil%20Masek"> Vlastimil Masek</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuri%20S.%20Muzychka"> Yuri S. Muzychka</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study uses a novel image analysis based on thermal imaging to detect temperature contours created on salt ice surface during transient phenomena. Thermal cameras detect objects by using their emissivities and IR radiance. The ice surface temperature is not uniform during transient processes. The temperature starts to increase from the boundary of ice towards the center of that. Thermal cameras are able to report temperature changes on the ice surface at every individual moment. Various contours, which show different temperature areas, appear on the ice surface picture captured by a thermal camera. Identifying the exact boundary of these contours is valuable to facilitate ice surface temperature analysis. Image processing techniques are used to extract each contour area precisely. In this study, several pictures are recorded while the temperature is increasing throughout the ice surface. Some pictures are selected to be processed by a specific time interval. An image segmentation method is applied to images to determine the contour areas. Color thermal images are used to exploit the main information. Red, green and blue elements of color images are investigated to find the best contour boundaries. The algorithms of image enhancement and noise removal are applied to images to obtain a high contrast and clear image. A novel edge detection algorithm based on differences in the color of the pixels is established to determine contour boundaries. In this method, the edges of the contours are obtained according to properties of red, blue and green image elements. The color image elements are assessed considering their information. Useful elements proceed to process and useless elements are removed from the process to reduce the consuming time. Neighbor pixels with close intensities are assigned in one contour and differences in intensities determine boundaries. The results are then verified by conducting experimental tests. An experimental setup is performed using ice samples and a thermal camera. To observe the created ice contour by the thermal camera, the samples, which are initially at -20° C, are contacted with a warmer surface. Pictures are captured for 20 seconds. The method is applied to five images ,which are captured at the time intervals of 5 seconds. The study shows the green image element carries no useful information; therefore, the boundary detection method is applied on red and blue image elements. In this case study, the results indicate that proposed algorithm shows the boundaries more effective than other edges detection methods such as Sobel and Canny. Comparison between the contour detection in this method and temperature analysis, which states real boundaries, shows a good agreement. This color image edge detection method is applicable to other similar cases according to their image properties. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=color%20image%20processing" title="color image processing">color image processing</a>, <a href="https://publications.waset.org/abstracts/search?q=edge%20detection" title=" edge detection"> edge detection</a>, <a href="https://publications.waset.org/abstracts/search?q=ice%20contour%20boundary" title=" ice contour boundary"> ice contour boundary</a>, <a href="https://publications.waset.org/abstracts/search?q=salt%20ice" title=" salt ice"> salt ice</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20image" title=" thermal image"> thermal image</a> </p> <a href="https://publications.waset.org/abstracts/61867/temperature-contour-detection-of-salt-ice-using-color-thermal-image-segmentation-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61867.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">314</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">20937</span> Compilation of Load Spectrum of Loader Drive Axle</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wei%20Yongxiang">Wei Yongxiang</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhu%20Haoyue"> Zhu Haoyue</a>, <a href="https://publications.waset.org/abstracts/search?q=Tang%20Heng"> Tang Heng</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuan%20Qunwei"> Yuan Qunwei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to study the preparation method of gear fatigue load spectrum for loaders, the load signal of four typical working conditions of loader is collected. The signal that reflects the law of load change is obtained by preprocessing the original signal. The torque of the drive axle is calculated by using the rain flow counting method. According to the operating time ratio of each working condition, the two-dimensional load spectrum based on the real working conditions of the drive axle of loader is established by the cycle extrapolation and synthesis method. The two-dimensional load spectrum is converted into one-dimensional load spectrum by means of the mean of torque equal damage method. Torque amplification includes the maximum load torque of the main reduction gear. Based on the theory of equal damage, the accelerated cycles are calculated. In this way, the load spectrum of the loading condition of the drive axle is prepared to reflect loading condition of the loader. The load spectrum can provide reference for fatigue life test and life prediction of loader drive axle. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=load%20spectrum" title="load spectrum">load spectrum</a>, <a href="https://publications.waset.org/abstracts/search?q=axle" title=" axle"> axle</a>, <a href="https://publications.waset.org/abstracts/search?q=torque" title=" torque"> torque</a>, <a href="https://publications.waset.org/abstracts/search?q=rain-flow%20counting%20method" title=" rain-flow counting method"> rain-flow counting method</a>, <a href="https://publications.waset.org/abstracts/search?q=extrapolation" title=" extrapolation"> extrapolation</a> </p> <a href="https://publications.waset.org/abstracts/78796/compilation-of-load-spectrum-of-loader-drive-axle" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78796.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">364</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">20936</span> Numerical Investigation of Pressure and Velocity Field Contours of Dynamics of Drop Formation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pardeep%20Bishnoi">Pardeep Bishnoi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mayank%20Srivastava"> Mayank Srivastava</a>, <a href="https://publications.waset.org/abstracts/search?q=Mrityunjay%20Kumar%20Sinha"> Mrityunjay Kumar Sinha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article represents the numerical investigation of the pressure and velocity field variation of the dynamics of pendant drop formation through a capillary tube. Numerical simulations are executed using volume of fluid (VOF) method in the computational fluid dynamics (CFD). In this problem, Non Newtonian fluid is considered as dispersed fluid whereas air is considered as a continuous fluid. Pressure contours at various time steps expose that pressure varies nearly hydrostatically at each step of the dynamics of drop formation. A result also shows the pressure variation of the liquid droplet during free fall in the computational domain. The evacuation of the fluid from the necking region is also shown by the contour of the velocity field. The role of surface tension in the Pressure contour of the dynamics of drop formation is also studied. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pressure%20contour" title="pressure contour">pressure contour</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20tension" title=" surface tension"> surface tension</a>, <a href="https://publications.waset.org/abstracts/search?q=volume%20of%20fluid" title=" volume of fluid"> volume of fluid</a>, <a href="https://publications.waset.org/abstracts/search?q=velocity%20field" title=" velocity field"> velocity field</a> </p> <a href="https://publications.waset.org/abstracts/56670/numerical-investigation-of-pressure-and-velocity-field-contours-of-dynamics-of-drop-formation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56670.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">405</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">20935</span> Aerodynamic Design of Axisymmetric Supersonic Nozzle Used by an Optimization Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Mojtahedpoor">Mohammad Mojtahedpoor</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, it has been studied the method of optimal design of the supersonic nozzle. It could make viscous axisymmetric nozzles that the quality of their outlet flow is quite desired. In this method, it is optimized the divergent nozzle, at first. The initial divergent nozzle contour is designed through the method of characteristics and adding a suitable boundary layer to the inviscid contour. After that, it is made a proper grid and then simulated flow by the numerical solution and AUSM+ method by using the operation boundary condition. At the end, solution outputs are investigated and optimized. The numerical method has been validated with experimental results. Also, in order to evaluate the effectiveness of the present method, the nozzles compared with the previous studies. The comparisons show that the nozzles obtained through this method are sufficiently better in some conditions, such as the flow uniformity, size of the boundary layer, and obtained an axial length of the nozzle. Designing the convergent nozzle part affects by flow uniformity through changing its axial length and input diameter. The results show that increasing the length of the convergent part improves the output flow uniformity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nozzle" title="nozzle">nozzle</a>, <a href="https://publications.waset.org/abstracts/search?q=supersonic" title=" supersonic"> supersonic</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=characteristic%20method" title=" characteristic method"> characteristic method</a>, <a href="https://publications.waset.org/abstracts/search?q=CFD" title=" CFD"> CFD</a> </p> <a href="https://publications.waset.org/abstracts/143078/aerodynamic-design-of-axisymmetric-supersonic-nozzle-used-by-an-optimization-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143078.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">200</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">20934</span> Calculating Ventricle’s Area Based on Clinical Dementia Rating Values on Coronal MRI Image</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Retno%20Supriyanti">Retno Supriyanti</a>, <a href="https://publications.waset.org/abstracts/search?q=Ays%20Rahmadian%20Subhi"> Ays Rahmadian Subhi</a>, <a href="https://publications.waset.org/abstracts/search?q=Yogi%20Ramadhani"> Yogi Ramadhani</a>, <a href="https://publications.waset.org/abstracts/search?q=Haris%20B.%20Widodo"> Haris B. Widodo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Alzheimer is one type of disease in the elderly that may occur in the world. The severity of the Alzheimer can be measured using a scale called Clinical Dementia Rating (CDR) based on a doctor's diagnosis of the patient's condition. Currently, diagnosis of Alzheimer often uses MRI machine, to know the condition of part of the brain called Hippocampus and Ventricle. MRI image itself consists of 3 slices, namely Coronal, Sagittal and Axial. In this paper, we discussed the measurement of the area of the ventricle especially in the Coronal slice based on the severity level referring to the CDR value. We use Active Contour method to segment the ventricle’s region, therefore that ventricle’s area can be calculated automatically. The results show that this method can be used for further development in the automatic diagnosis of Alzheimer. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alzheimer" title="Alzheimer">Alzheimer</a>, <a href="https://publications.waset.org/abstracts/search?q=CDR" title=" CDR"> CDR</a>, <a href="https://publications.waset.org/abstracts/search?q=coronal" title=" coronal"> coronal</a>, <a href="https://publications.waset.org/abstracts/search?q=ventricle" title=" ventricle"> ventricle</a>, <a href="https://publications.waset.org/abstracts/search?q=active%20contour" title=" active contour"> active contour</a> </p> <a href="https://publications.waset.org/abstracts/91350/calculating-ventricles-area-based-on-clinical-dementia-rating-values-on-coronal-mri-image" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91350.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">266</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">20933</span> Study of the Stability of Underground Mines by Numerical Method: The Mine Chaabet El Hamra, Algeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nakache%20Radouane">Nakache Radouane</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Boukelloul"> M. Boukelloul</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Fredj"> M. Fredj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Method room and pillar sizes are key factors for safe mining and their recovery in open-stop mining. This method is advantageous due to its simplicity and requirement of little information to be used. It is probably the most representative method among the total load approach methods although it also remains a safe design method. Using a finite element software (PLAXIS 3D), analyses were carried out with an elasto-plastic model and comparisons were made with methods based on the total load approach. The results were presented as the optimization for improving the ore recovery rate while maintaining a safe working environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=room%20and%20pillar" title="room and pillar">room and pillar</a>, <a href="https://publications.waset.org/abstracts/search?q=mining" title=" mining"> mining</a>, <a href="https://publications.waset.org/abstracts/search?q=total%20load%20approach" title=" total load approach"> total load approach</a>, <a href="https://publications.waset.org/abstracts/search?q=elasto-plastic" title=" elasto-plastic"> elasto-plastic</a> </p> <a href="https://publications.waset.org/abstracts/48348/study-of-the-stability-of-underground-mines-by-numerical-method-the-mine-chaabet-el-hamra-algeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48348.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">330</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">20932</span> Complementary Mathematical Model for Underwater Vehicles under Load Variation Test Conditions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Erim%20Koyun">Erim Koyun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aim to construct a mathematical model for Underwater vehicles under load variation test conditions. Propeller effects on underwater vehicle are investigated. Body with counter rotating propeller model is analyzed by CFD methods, thus forces and moment are obtained. Propeller effects of vehicle’s hydrodynamic performance under load variation conditions will be investigated. Additionally, pressure contour is examined for differences between different load conditions. Axial force equation is established using hydrodynamic coefficients, which contains resistance, thrust, and additional coefficients occurs due to load variations. Additional coefficients helps to express completely axial force on underwater vehicle. When the vehicle accelerates, additional force occurs besides thrust force increment. This is propeller effect on the body. Hence, mathematical model cover this effect. For CFD analysis, the incompressible, three-dimensional, and unsteady Reynolds Averaged Navier-Stokes equations will be used Numerical results is verified with experimental results for verification. The overall goal of this study is to present complementary mathematical model for body with counter rotating propeller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=counter%20rotating%20propeller" title="counter rotating propeller">counter rotating propeller</a>, <a href="https://publications.waset.org/abstracts/search?q=CFD" title=" CFD"> CFD</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrodynamic%20mathematic%20model" title=" hydrodynamic mathematic model"> hydrodynamic mathematic model</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrodynamics%20analysis" title=" hydrodynamics analysis"> hydrodynamics analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=thrust%20deduction" title=" thrust deduction"> thrust deduction</a> </p> <a href="https://publications.waset.org/abstracts/144832/complementary-mathematical-model-for-underwater-vehicles-under-load-variation-test-conditions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144832.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">136</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">20931</span> SIF Computation of Cracked Plate by FEM</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sari%20Elkahina">Sari Elkahina</a>, <a href="https://publications.waset.org/abstracts/search?q=Zergoug%20Mourad"> Zergoug Mourad</a>, <a href="https://publications.waset.org/abstracts/search?q=Benachenhou%20Kamel"> Benachenhou Kamel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The main purpose of this paper is to perform a computations comparison of stress intensity factor 'SIF' evaluation in case of cracked thin plate with Aluminum alloy 7075-T6 and 2024-T3 used in aeronautics structure under uniaxial loading. This evaluation is based on finite element method with a virtual power principle through two techniques: the extrapolation and G−θ. The first one consists to extrapolate the nodal displacements near the cracked tip using a refined triangular mesh with T3 and T6 special elements, while the second, consists of determining the energy release rate G through G−θ method by potential energy derivation which corresponds numerically to the elastic solution post-processing of a cracked solid by a contour integration computation via Gauss points. The SIF obtained results from extrapolation and G−θ methods will be compared to an analytical solution in a particular case. To illustrate the influence of the meshing kind and the size of integration contour position simulations are presented and analyzed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crack%20tip" title="crack tip">crack tip</a>, <a href="https://publications.waset.org/abstracts/search?q=SIF" title=" SIF"> SIF</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20method" title=" finite element method"> finite element method</a>, <a href="https://publications.waset.org/abstracts/search?q=concentration%20technique" title=" concentration technique"> concentration technique</a>, <a href="https://publications.waset.org/abstracts/search?q=displacement%20extrapolation" title=" displacement extrapolation"> displacement extrapolation</a>, <a href="https://publications.waset.org/abstracts/search?q=aluminum%20alloy%207075-T6%20and%202024-T3" title=" aluminum alloy 7075-T6 and 2024-T3"> aluminum alloy 7075-T6 and 2024-T3</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20release%20rate%20G" title=" energy release rate G"> energy release rate G</a>, <a href="https://publications.waset.org/abstracts/search?q=G-%CE%B8%20method" title=" G-θ method"> G-θ method</a>, <a href="https://publications.waset.org/abstracts/search?q=Gauss%20point%20numerical%20integration" title=" Gauss point numerical integration"> Gauss point numerical integration</a> </p> <a href="https://publications.waset.org/abstracts/23194/sif-computation-of-cracked-plate-by-fem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23194.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">337</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">20930</span> Electric Load Forecasting Based on Artificial Neural Network for Iraqi Power System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Afaneen%20Anwer">Afaneen Anwer</a>, <a href="https://publications.waset.org/abstracts/search?q=Samara%20M.%20Kamil"> Samara M. Kamil</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Load Forecast required prediction accuracy based on optimal operation and maintenance. A good accuracy is the basis of economic dispatch, unit commitment, and system reliability. A good load forecasting system fulfilled fast speed, automatic bad data detection, and ability to access the system automatically to get the needed data. In this paper, the formulation of the load forecasting is discussed and the solution is obtained by using artificial neural network method. A MATLAB environment has been used to solve the load forecasting schedule of Iraqi super grid network considering the daily load for three years. The obtained results showed a good accuracy in predicting the forecasted load. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=load%20forecasting" title="load forecasting">load forecasting</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=back-propagation%20algorithm" title=" back-propagation algorithm"> back-propagation algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=Iraqi%20power%20system" title=" Iraqi power system"> Iraqi power system</a> </p> <a href="https://publications.waset.org/abstracts/19308/electric-load-forecasting-based-on-artificial-neural-network-for-iraqi-power-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19308.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">583</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">20929</span> Contour Defects of Face with Hyperpigmentation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Afzaal%20Bashir">Afzaal Bashir</a>, <a href="https://publications.waset.org/abstracts/search?q=Sunaina%20Afzaal"> Sunaina Afzaal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Facial contour deformities associated with pigmentary changes are of major concern for plastic surgeons, both being important and difficult in treating such issues. No definite ideal treatment option is available to simultaneously address both the contour defect as well as related pigmentation. Objectives: The aim of the current study is to compare the long-term effects of conventional adipose tissue grafting and ex-vivo expanded Mesenchymal Stem Cells enriched adipose tissue grafting for the treatment of contour deformities with pigmentary changes on the face. Material and Methods: In this study, eighty (80) patients with contour deformities of the face with hyperpigmentation were recruited after informed consent. Two techniques i.e., conventional fat grafting (C-FG) and fat grafts enriched with expanded adipose stem cells (FG-ASCs), were used to address the pigmentation. Both techniques were explained to patients, and enrolled patients were divided into two groups i.e., C-FG and FG-ASCS, per patients’ choice and satisfaction. Patients of the FG-ASCs group were treated with fat grafts enriched with expanded adipose stem cells, while patients of the C-FGs group were treated with conventional fat grafting. Patients were followed for 12 months, and improvement in face pigmentation was assessed clinically as well as measured objectively. Patient satisfaction was also documented as highly satisfied, satisfied, and unsatisfied. Results: Mean age of patients was 24.42(±4.49), and 66 patients were females. The forehead was involved in 61.20% of cases, the cheek in 21.20% of cases, the chin in 11.20% of cases, and the nose in 6.20% of cases. In the GF-ASCs group, the integrated color density (ICD) was decreased (1.08×10⁶ ±4.64×10⁵) as compared to the C-FG group (2.80×10⁵±1.69×10⁵). Patients treated with fat grafts enriched with expanded adipose stem cells were significantly more satisfied as compared to patients treated with conventional fat grafting only. Conclusion: Mesenchymal stem cell-enriched autologous fat grafting is a preferred option for improving the contour deformities related to increased pigmentation of face skin. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hyperpigmentation" title="hyperpigmentation">hyperpigmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=color%20density" title=" color density"> color density</a>, <a href="https://publications.waset.org/abstracts/search?q=enriched%20adipose%20tissue%20graft" title=" enriched adipose tissue graft"> enriched adipose tissue graft</a>, <a href="https://publications.waset.org/abstracts/search?q=fat%20grafting" title=" fat grafting"> fat grafting</a>, <a href="https://publications.waset.org/abstracts/search?q=contour%20deformities" title=" contour deformities"> contour deformities</a>, <a href="https://publications.waset.org/abstracts/search?q=Image%20J" title=" Image J"> Image J</a> </p> <a href="https://publications.waset.org/abstracts/162936/contour-defects-of-face-with-hyperpigmentation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162936.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">110</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">20928</span> Active Contours for Image Segmentation Based on Complex Domain Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sajid%20Hussain">Sajid Hussain</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The complex domain approach for image segmentation based on active contour has been designed, which deforms step by step to partition an image into numerous expedient regions. A novel region-based trigonometric complex pressure force function is proposed, which propagates around the region of interest using image forces. The signed trigonometric force function controls the propagation of the active contour and the active contour stops on the exact edges of the object accurately. The proposed model makes the level set function binary and uses Gaussian smoothing kernel to adjust and escape the re-initialization procedure. The working principle of the proposed model is as follows: The real image data is transformed into complex data by iota (i) times of image data and the average iota (i) times of horizontal and vertical components of the gradient of image data is inserted in the proposed model to catch complex gradient of the image data. A simple finite difference mathematical technique has been used to implement the proposed model. The efficiency and robustness of the proposed model have been verified and compared with other state-of-the-art models. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=image%20segmentation" title="image segmentation">image segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=active%20contour" title=" active contour"> active contour</a>, <a href="https://publications.waset.org/abstracts/search?q=level%20set" title=" level set"> level set</a>, <a href="https://publications.waset.org/abstracts/search?q=Mumford%20and%20Shah%20model" title=" Mumford and Shah model"> Mumford and Shah model</a> </p> <a href="https://publications.waset.org/abstracts/161606/active-contours-for-image-segmentation-based-on-complex-domain-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/161606.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">114</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">20927</span> 3D Liver Segmentation from CT Images Using a Level Set Method Based on a Shape and Intensity Distribution Prior</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nuseiba%20M.%20Altarawneh">Nuseiba M. Altarawneh</a>, <a href="https://publications.waset.org/abstracts/search?q=Suhuai%20Luo"> Suhuai Luo</a>, <a href="https://publications.waset.org/abstracts/search?q=Brian%20Regan"> Brian Regan</a>, <a href="https://publications.waset.org/abstracts/search?q=Guijin%20Tang"> Guijin Tang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Liver segmentation from medical images poses more challenges than analogous segmentations of other organs. This contribution introduces a liver segmentation method from a series of computer tomography images. Overall, we present a novel method for segmenting liver by coupling density matching with shape priors. Density matching signifies a tracking method which operates via maximizing the Bhattacharyya similarity measure between the photometric distribution from an estimated image region and a model photometric distribution. Density matching controls the direction of the evolution process and slows down the evolving contour in regions with weak edges. The shape prior improves the robustness of density matching and discourages the evolving contour from exceeding liver’s boundaries at regions with weak boundaries. The model is implemented using a modified distance regularized level set (DRLS) model. The experimental results show that the method achieves a satisfactory result. By comparing with the original DRLS model, it is evident that the proposed model herein is more effective in addressing the over segmentation problem. Finally, we gauge our performance of our model against matrices comprising of accuracy, sensitivity and specificity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bhattacharyya%20distance" title="Bhattacharyya distance">Bhattacharyya distance</a>, <a href="https://publications.waset.org/abstracts/search?q=distance%20regularized%20level%20set%20%28DRLS%29%20model" title=" distance regularized level set (DRLS) model"> distance regularized level set (DRLS) model</a>, <a href="https://publications.waset.org/abstracts/search?q=liver%20segmentation" title=" liver segmentation"> liver segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=level%20set%20method" title=" level set method"> level set method</a> </p> <a href="https://publications.waset.org/abstracts/35588/3d-liver-segmentation-from-ct-images-using-a-level-set-method-based-on-a-shape-and-intensity-distribution-prior" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35588.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">313</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">20926</span> Identification of Impact Load and Partial System Parameters Using 1D-CNN</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xuewen%20Yu">Xuewen Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Danhui%20Dan"> Danhui Dan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The identification of impact load and some hard-to-obtain system parameters is crucial for the activities of analysis, validation, and evaluation in the engineering field. This paper proposes a method that utilizes neural networks based on 1D-CNN to identify the impact load and partial system parameters from measured responses. To this end, forward computations are conducted to provide datasets consisting of the triples (parameter θ, input u, output y). Then neural networks are trained to learn the mapping from input to output, fu|{θ} : y → u, as well as from input and output to parameter, fθ : (u, y) → θ. Afterward, feeding the trained neural networks the measured output response, the input impact load and system parameter can be calculated, respectively. The method is tested on two simulated examples and shows sound accuracy in estimating the impact load (waveform and location) and system parameters. <p class="card-text"><strong>Keywords:</strong> <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=impact%20load%20identification" title=" impact load identification"> impact load identification</a>, <a href="https://publications.waset.org/abstracts/search?q=system%20parameter%20identification" title=" system parameter identification"> system parameter identification</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20problem" title=" inverse problem"> inverse problem</a> </p> <a href="https://publications.waset.org/abstracts/173755/identification-of-impact-load-and-partial-system-parameters-using-1d-cnn" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173755.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">123</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">20925</span> Time-Series Load Data Analysis for User Power Profiling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahdi%20Daghmhehci%20Firoozjaei">Mahdi Daghmhehci Firoozjaei</a>, <a href="https://publications.waset.org/abstracts/search?q=Minchang%20Kim"> Minchang Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Dima%20Alhadidi"> Dima Alhadidi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we present a power profiling model for smart grid consumers based on real time load data acquired smart meters. It profiles consumers’ power consumption behaviour using the dynamic time warping (DTW) clustering algorithm. Due to the invariability of signal warping of this algorithm, time-disordered load data can be profiled and consumption features be extracted. Two load types are defined and the related load patterns are extracted for classifying consumption behaviour by DTW. The classification methodology is discussed in detail. To evaluate the performance of the method, we analyze the time-series load data measured by a smart meter in a real case. The results verify the effectiveness of the proposed profiling method with 90.91% true positive rate for load type clustering in the best case. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=power%20profiling" title="power profiling">power profiling</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20privacy" title=" user privacy"> user privacy</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20time%20warping" title=" dynamic time warping"> dynamic time warping</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20grid" title=" smart grid"> smart grid</a> </p> <a href="https://publications.waset.org/abstracts/153678/time-series-load-data-analysis-for-user-power-profiling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153678.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">20924</span> Non-Linear Control in Positioning of PMLSM by Estimates of the Load Force by MRAS Method </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maamar%20Yahiaoui">Maamar Yahiaoui</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdelrrahmene%20Kechich"> Abdelrrahmene Kechich</a>, <a href="https://publications.waset.org/abstracts/search?q=Ismail%20Elkhallile%20Bousserhene"> Ismail Elkhallile Bousserhene</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article presents a study in simulation by means of MATLAB/Simulink software of the nonlinear control in positioning of a linear synchronous machine with the esteemed force of load, to have effective control in the estimator in all tests the wished trajectory follows and the disturbance of load start. The results of simulation prove clearly that the control proposed can detect the reference of positioning the value estimates of load force equal to the actual value. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mathematical%20model" title="mathematical model">mathematical model</a>, <a href="https://publications.waset.org/abstracts/search?q=Matlab" title=" Matlab"> Matlab</a>, <a href="https://publications.waset.org/abstracts/search?q=PMLSM" title=" PMLSM"> PMLSM</a>, <a href="https://publications.waset.org/abstracts/search?q=control" title=" control"> control</a>, <a href="https://publications.waset.org/abstracts/search?q=linearization" title=" linearization"> linearization</a>, <a href="https://publications.waset.org/abstracts/search?q=estimator" title=" estimator"> estimator</a>, <a href="https://publications.waset.org/abstracts/search?q=force" title=" force"> force</a>, <a href="https://publications.waset.org/abstracts/search?q=load" title=" load"> load</a>, <a href="https://publications.waset.org/abstracts/search?q=current" title=" current "> current </a> </p> <a href="https://publications.waset.org/abstracts/11469/non-linear-control-in-positioning-of-pmlsm-by-estimates-of-the-load-force-by-mras-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11469.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">608</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">20923</span> Comparison of DPC and FOC Vector Control Strategies on Reducing Harmonics Caused by Nonlinear Load in the DFIG Wind Turbine </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamid%20Havasi">Hamid Havasi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamad%20Reza%20Gholami%20Dehbalaei"> Mohamad Reza Gholami Dehbalaei</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamed%20Khorami"> Hamed Khorami</a>, <a href="https://publications.waset.org/abstracts/search?q=Shahram%20Karimi"> Shahram Karimi</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamdi%20Abdi"> Hamdi Abdi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Doubly-fed induction generator (DFIG) equipped with a power converter is an efficient tool for converting mechanical energy of a variable speed system to a fixed-frequency electrical grid. Since electrical energy sources faces with production problems such as harmonics caused by nonlinear loads, so in this paper, compensation performance of DPC and FOC method on harmonics reduction of a DFIG wind turbine connected to a nonlinear load in MATLAB Simulink model has been simulated and effect of each method on nonlinear load harmonic elimination has been compared. Results of the two mentioned control methods shows the advantage of the FOC method on DPC method for harmonic compensation. Also, the fifth and seventh harmonic components of the network and THD greatly reduced. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DFIG%20machine" title="DFIG machine">DFIG machine</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20conversion" title=" energy conversion"> energy conversion</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20load" title=" nonlinear load"> nonlinear load</a>, <a href="https://publications.waset.org/abstracts/search?q=THD" title=" THD"> THD</a>, <a href="https://publications.waset.org/abstracts/search?q=DPC" title=" DPC"> DPC</a>, <a href="https://publications.waset.org/abstracts/search?q=FOC" title=" FOC"> FOC</a> </p> <a href="https://publications.waset.org/abstracts/15405/comparison-of-dpc-and-foc-vector-control-strategies-on-reducing-harmonics-caused-by-nonlinear-load-in-the-dfig-wind-turbine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15405.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">589</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">20922</span> A Simple and Easy-To-Use Tool for Detecting Outer Contour of Leukocytes Based on Image Processing Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Retno%20Supriyanti">Retno Supriyanti</a>, <a href="https://publications.waset.org/abstracts/search?q=Best%20Leader%20Nababan"> Best Leader Nababan</a>, <a href="https://publications.waset.org/abstracts/search?q=Yogi%20Ramadhani"> Yogi Ramadhani</a>, <a href="https://publications.waset.org/abstracts/search?q=Wahyu%20Siswandari"> Wahyu Siswandari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Blood cell morphology is an important parameter in a hematology test. Currently, in developing countries, a lot of hematology is done manually, either by physicians or laboratory staff. According to the limitation of the human eye, examination based on manual method will result in a lower precision and accuracy. In addition, the hematology test by manual will further complicate the diagnosis in some areas that do not have competent medical personnel. This research aims to develop a simple tool in the detection of blood cell morphology-based computer. In this paper, we focus on the detection of the outer contour of leukocytes. The results show that the system that we developed is promising for detecting blood cell morphology automatically. It is expected, by implementing this method, the problem of accuracy, precision and limitations of the medical staff can be solved. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=morphology%20operation" title="morphology operation">morphology operation</a>, <a href="https://publications.waset.org/abstracts/search?q=developing%20countries" title=" developing countries"> developing countries</a>, <a href="https://publications.waset.org/abstracts/search?q=hematology%20test" title=" hematology test"> hematology test</a>, <a href="https://publications.waset.org/abstracts/search?q=limitation%20of%20medical%20personnel" title=" limitation of medical personnel"> limitation of medical personnel</a> </p> <a href="https://publications.waset.org/abstracts/66702/a-simple-and-easy-to-use-tool-for-detecting-outer-contour-of-leukocytes-based-on-image-processing-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66702.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">337</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">20921</span> Two-Dimensional Observation of Oil Displacement by Water in a Petroleum Reservoir through Numerical Simulation and Application to a Petroleum Reservoir</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Fahim%20Nasiry">Ahmad Fahim Nasiry</a>, <a href="https://publications.waset.org/abstracts/search?q=Shigeo%20Honma"> Shigeo Honma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We examine two-dimensional oil displacement by water in a petroleum reservoir. The pore fluid is immiscible, and the porous media is homogenous and isotropic in the horizontal direction. Buckley-Leverett theory and a combination of Laplacian and Darcy’s law are used to study the fluid flow through porous media, and the Laplacian that defines the dispersion and diffusion of fluid in the sand using heavy oil is discussed. The reservoir is homogenous in the horizontal direction, as expressed by the partial differential equation. Two main factors which are observed are the water saturation and pressure distribution in the reservoir, and they are evaluated for predicting oil recovery in two dimensions by a physical and mathematical simulation model. We review the numerical simulation that solves difficult partial differential reservoir equations. Based on the numerical simulations, the saturation and pressure equations are calculated by the iterative alternating direction implicit method and the iterative alternating direction explicit method, respectively, according to the finite difference assumption. However, to understand the displacement of oil by water and the amount of water dispersion in the reservoir better, an interpolated contour line of the water distribution of the five-spot pattern, that provides an approximate solution which agrees well with the experimental results, is also presented. Finally, a computer program is developed to calculate the equation for pressure and water saturation and to draw the pressure contour line and water distribution contour line for the reservoir. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=numerical%20simulation" title="numerical simulation">numerical simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=immiscible" title=" immiscible"> immiscible</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20difference" title=" finite difference"> finite difference</a>, <a href="https://publications.waset.org/abstracts/search?q=IADI" title=" IADI"> IADI</a>, <a href="https://publications.waset.org/abstracts/search?q=IDE" title=" IDE"> IDE</a>, <a href="https://publications.waset.org/abstracts/search?q=waterflooding" title=" waterflooding"> waterflooding</a> </p> <a href="https://publications.waset.org/abstracts/59679/two-dimensional-observation-of-oil-displacement-by-water-in-a-petroleum-reservoir-through-numerical-simulation-and-application-to-a-petroleum-reservoir" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59679.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">331</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">20920</span> Using Self Organizing Feature Maps for Automatic Prostate Segmentation in TRUS Images</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahad%20Salimi">Ahad Salimi</a>, <a href="https://publications.waset.org/abstracts/search?q=Hassan%20Masoumi"> Hassan Masoumi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Prostate cancer is one of the most common recognized cancers in men, and, is one of the most important mortality factors of cancer in this group. Determining of prostate’s boundary in TRUS (Transrectal Ultra Sound) images is very necessary for prostate cancer treatments. The weakness edges and speckle noise make the ultrasound images inherently to segment. In this paper a new automatic algorithm for prostate segmentation in TRUS images proposed that include three main stages. At first morphological smoothing and sticks filtering are used for noise removing. In second step, for finding a point in prostate region, SOFM algorithm is enlisted and in the last step, the boundary of prostate extracting accompanying active contour is employed. For validation of proposed method, a number of experiments are conducted. The results obtained by our algorithm show the promise of the proposed algorithm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SOFM" title="SOFM">SOFM</a>, <a href="https://publications.waset.org/abstracts/search?q=preprocessing" title=" preprocessing"> preprocessing</a>, <a href="https://publications.waset.org/abstracts/search?q=GVF%20contour" title=" GVF contour"> GVF contour</a>, <a href="https://publications.waset.org/abstracts/search?q=segmentation" title=" segmentation"> segmentation</a> </p> <a href="https://publications.waset.org/abstracts/29731/using-self-organizing-feature-maps-for-automatic-prostate-segmentation-in-trus-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29731.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">330</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">20919</span> Short-Term Load Forecasting Based on Variational Mode Decomposition and Least Square Support Vector Machine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jiangyong%20Liu">Jiangyong Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiangxiang%20Xu"> Xiangxiang Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Bote%20Luo"> Bote Luo</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaoxue%20Luo"> Xiaoxue Luo</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiang%20Zhu"> Jiang Zhu</a>, <a href="https://publications.waset.org/abstracts/search?q=Lingzhi%20Yi"> Lingzhi Yi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To address the problems of non-linearity and high randomness of the original power load sequence causing the degradation of power load forecasting accuracy, a short-term load forecasting method is proposed. The method is based on the Least Square Support Vector Machine optimized by an Improved Sparrow Search Algorithm combined with the Variational Mode Decomposition proposed in this paper. The application of the variational mode decomposition technique decomposes the raw power load data into a series of Intrinsic Mode Functions components, which can reduce the complexity and instability of the raw data while overcoming modal confounding; the proposed improved sparrow search algorithm can solve the problem of difficult selection of learning parameters in the least Square Support Vector Machine. Finally, through comparison experiments, the results show that the method can effectively improve prediction accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=load%20forecasting" title="load forecasting">load forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=variational%20mode%20decomposition" title=" variational mode decomposition"> variational mode decomposition</a>, <a href="https://publications.waset.org/abstracts/search?q=improved%20sparrow%20search%20algorithm" title=" improved sparrow search algorithm"> improved sparrow search algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=least%20square%20support%20vector%20machine" title=" least square support vector machine"> least square support vector machine</a> </p> <a href="https://publications.waset.org/abstracts/170283/short-term-load-forecasting-based-on-variational-mode-decomposition-and-least-square-support-vector-machine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170283.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">108</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">20918</span> Multiobjective Economic Dispatch Using Optimal Weighting Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mandeep%20Kaur">Mandeep Kaur</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatehgarh%20Sahib"> Fatehgarh Sahib</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of economic load dispatch is to allocate the required load demand between the available generation units such that the cost of operation is minimized. It is an optimization problem to find the most economical schedule of the generating units while satisfying load demand and operational constraints. The multiobjective optimization problem in which the engineer’s goal is to maximize or minimize not a single objective function but several objective functions simultaneously. The purpose of multiobjective problems in the mathematical programming framework is to optimize the different objective functions. Many approaches and methods have been proposed in recent years to solve multiobjective optimization problems. Weighting method has been applied to convert multiobjective optimization problems into scalar optimization. MATLAB 7.10 has been used to write the code for the complete algorithm with the help of genetic algorithm (GA). The validity of the proposed method has been demonstrated on a three-unit power system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=economic%20load%20dispatch" title="economic load dispatch">economic load dispatch</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=generating%20units" title=" generating units"> generating units</a>, <a href="https://publications.waset.org/abstracts/search?q=multiobjective%20optimization" title=" multiobjective optimization"> multiobjective optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=weighting%20method" title=" weighting method"> weighting method</a> </p> <a href="https://publications.waset.org/abstracts/117420/multiobjective-economic-dispatch-using-optimal-weighting-method" class="btn btn-primary btn-sm">Procedia</a> 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