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detection</title> <meta name="description" content="Search results for: shape detection"> <meta name="keywords" content="shape detection"> <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="shape detection"> <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> 5590</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: shape detection</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5590</span> The Effect of Pixelation on Face Detection: Evidence from Eye Movements </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kaewmart%20Pongakkasira">Kaewmart Pongakkasira</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study investigated how different levels of pixelation affect face detection in natural scenes. Eye movements and reaction times, while observers searched for faces in natural scenes rendered in different ranges of pixels, were recorded. Detection performance for coarse visual detail at lower pixel size (3 x 3) was better than with very blurred detail carried by higher pixel size (9 x 9). The result is consistent with the notion that face detection relies on gross detail information of face-shape template, containing crude shape structure and features. In contrast, detection was impaired when face shape and features are obscured. However, it was considered that the degradation of scenic information might also contribute to the effect. In the next experiment, a more direct measurement of the effect of pixelation on face detection, only the embedded face photographs, but not the scene background, will be filtered. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=eye%20movements" title="eye movements">eye movements</a>, <a href="https://publications.waset.org/abstracts/search?q=face%20detection" title=" face detection"> face detection</a>, <a href="https://publications.waset.org/abstracts/search?q=face-shape%20information" title=" face-shape information"> face-shape information</a>, <a href="https://publications.waset.org/abstracts/search?q=pixelation" title=" pixelation"> pixelation</a> </p> <a href="https://publications.waset.org/abstracts/54704/the-effect-of-pixelation-on-face-detection-evidence-from-eye-movements" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54704.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">317</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">5589</span> Hit-Or-Miss Transform as a Tool for Similar Shape Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Osama%20Mohamed%20Elrajubi">Osama Mohamed Elrajubi</a>, <a href="https://publications.waset.org/abstracts/search?q=Idris%20El-Feghi"> Idris El-Feghi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Abu%20Baker%20Saghayer"> Mohamed Abu Baker Saghayer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper describes an identification of specific shapes within binary images using the morphological Hit-or-Miss Transform (HMT). Hit-or-Miss transform is a general binary morphological operation that can be used in searching of particular patterns of foreground and background pixels in an image. It is actually a basic operation of binary morphology since almost all other binary morphological operators are derived from it. The input of this method is a binary image and a structuring element (a template which will be searched in a binary image) while the output is another binary image. In this paper a modification of Hit-or-Miss transform has been proposed. The accuracy of algorithm is adjusted according to the similarity of the template and the sought template. The implementation of this method has been done by C language. The algorithm has been tested on several images and the results have shown that this new method can be used for similar shape detection. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hit-or-miss%20operator%20transform" title="hit-or-miss operator transform">hit-or-miss operator transform</a>, <a href="https://publications.waset.org/abstracts/search?q=HMT" title=" HMT"> HMT</a>, <a href="https://publications.waset.org/abstracts/search?q=binary%20morphological%20operation" title=" binary morphological operation"> binary morphological operation</a>, <a href="https://publications.waset.org/abstracts/search?q=shape%20detection" title=" shape detection"> shape detection</a>, <a href="https://publications.waset.org/abstracts/search?q=binary%20images%20processing" title=" binary images processing"> binary images processing</a> </p> <a href="https://publications.waset.org/abstracts/11881/hit-or-miss-transform-as-a-tool-for-similar-shape-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11881.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">5588</span> Modeling and Tracking of Deformable Structures in Medical Images</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Said%20Ettaieb">Said Ettaieb</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamel%20Hamrouni"> Kamel Hamrouni</a>, <a href="https://publications.waset.org/abstracts/search?q=Su%20Ruan"> Su Ruan </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a new method based both on Active Shape Model and a priori knowledge about the spatio-temporal shape variation for tracking deformable structures in medical imaging. The main idea is to exploit the a priori knowledge of shape that exists in ASM and introduce new knowledge about the shape variation over time. The aim is to define a new more stable method, allowing the reliable detection of structures whose shape changes considerably in time. This method can also be used for the three-dimensional segmentation by replacing the temporal component by the third spatial axis (z). The proposed method is applied for the functional and morphological study of the heart pump. The functional aspect was studied through temporal sequences of scintigraphic images and morphology was studied through MRI volumes. The obtained results are encouraging and show the performance of the proposed method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=active%20shape%20model" title="active shape model">active shape model</a>, <a href="https://publications.waset.org/abstracts/search?q=a%20priori%20knowledge" title=" a priori knowledge"> a priori knowledge</a>, <a href="https://publications.waset.org/abstracts/search?q=spatiotemporal%20shape%20variation" title=" spatiotemporal shape variation"> spatiotemporal shape variation</a>, <a href="https://publications.waset.org/abstracts/search?q=deformable%20structures" title=" deformable structures"> deformable structures</a>, <a href="https://publications.waset.org/abstracts/search?q=medical%20images" title=" medical images"> medical images</a> </p> <a href="https://publications.waset.org/abstracts/29394/modeling-and-tracking-of-deformable-structures-in-medical-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29394.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">5587</span> An Automated System for the Detection of Citrus Greening Disease Based on Visual Descriptors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sidra%20Naeem">Sidra Naeem</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayesha%20Naeem"> Ayesha Naeem</a>, <a href="https://publications.waset.org/abstracts/search?q=Sahar%20Rahim"> Sahar Rahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Nadia%20Nawaz%20Qadri"> Nadia Nawaz Qadri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Citrus greening is a bacterial disease that causes considerable damage to citrus fruits worldwide. Efficient method for this disease detection must be carried out to minimize the production loss. This paper presents a pattern recognition system that comprises three stages for the detection of citrus greening from Orange leaves: segmentation, feature extraction and classification. Image segmentation is accomplished by adaptive thresholding. The feature extraction stage comprises of three visual descriptors i.e. shape, color and texture. From shape feature we have used asymmetry index, from color feature we have used histogram of Cb component from YCbCr domain and from texture feature we have used local binary pattern. Classification was done using support vector machines and k nearest neighbors. The best performances of the system is Accuracy = 88.02% and AUROC = 90.1% was achieved by automatic segmented images. Our experiments validate that: (1). Segmentation is an imperative preprocessing step for computer assisted diagnosis of citrus greening, and (2). The combination of shape, color and texture features form a complementary set towards the identification of citrus greening disease. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=citrus%20greening" title="citrus greening">citrus greening</a>, <a href="https://publications.waset.org/abstracts/search?q=pattern%20recognition" title=" pattern recognition"> pattern recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20extraction" title=" feature extraction"> feature extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=classification" title=" classification"> classification</a> </p> <a href="https://publications.waset.org/abstracts/98969/an-automated-system-for-the-detection-of-citrus-greening-disease-based-on-visual-descriptors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98969.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">184</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">5586</span> Gender Differences in the Descriptions of Shape</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shu-Feng%20Chang">Shu-Feng Chang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> During the past years, gender issues have been discussed in many fields. It causes such differences not only in physical field but also in mental field. Gender differences also appear in our daily life, especially in the communication of spoken language. This statement was proved in the descriptions of color. However, the research about describing shape was fewer. The purpose of the study was to determine the description of the shape was different or alike due to gender. If it was different, this difference was dissimilar or as the same as the conclusion of color. Data were collected on the shape descriptions by 15 female and 15male participants in describing five pictures. As a result, it was really different for the descriptions of shape due to gender factor. The findings of shape descriptions were almost as the same as color naming with gender factor. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gender" title="gender">gender</a>, <a href="https://publications.waset.org/abstracts/search?q=naming" title=" naming"> naming</a>, <a href="https://publications.waset.org/abstracts/search?q=shape" title=" shape"> shape</a>, <a href="https://publications.waset.org/abstracts/search?q=sociolinguistics" title=" sociolinguistics"> sociolinguistics</a> </p> <a href="https://publications.waset.org/abstracts/81193/gender-differences-in-the-descriptions-of-shape" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/81193.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">552</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">5585</span> Shape Sensing and Damage Detection of Thin-Walled Cylinders Using an Inverse Finite Element Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ionel%20D.%20Craiu">Ionel D. Craiu</a>, <a href="https://publications.waset.org/abstracts/search?q=Mihai%20Nedelcu"> Mihai Nedelcu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Thin-walled cylinders are often used by the offshore industry as columns of floating installations. Based on observed strains, the inverse Finite Element Method (iFEM) may rebuild the deformation of structures. Structural Health Monitoring uses this approach extensively. However, the number of in-situ strain gauges is what determines how accurate it is, and for shell structures with complicated deformation, this number can easily become too high for practical use. Any thin-walled beam member's complicated deformation can be modeled by the Generalized Beam Theory (GBT) as a linear combination of pre-specified cross-section deformation modes. GBT uses bar finite elements as opposed to shell finite elements. This paper proposes an iFEM/GBT formulation for the shape sensing of thin-walled cylinders based on these benefits. This method significantly reduces the number of strain gauges compared to using the traditional inverse-shell finite elements. Using numerical simulations, dent damage detection is achieved by comparing the strain distributions of the undamaged and damaged members. The effect of noise on strain measurements is also investigated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=damage%20detection" title="damage detection">damage detection</a>, <a href="https://publications.waset.org/abstracts/search?q=generalized%20beam%20theory" title=" generalized beam theory"> generalized beam theory</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20finite%20element%20method" title=" inverse finite element method"> inverse finite element method</a>, <a href="https://publications.waset.org/abstracts/search?q=shape%20sensing" title=" shape sensing"> shape sensing</a> </p> <a href="https://publications.waset.org/abstracts/165815/shape-sensing-and-damage-detection-of-thin-walled-cylinders-using-an-inverse-finite-element-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165815.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">113</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">5584</span> A Study of Parameters That Have an Influence on Fabric Prints in Judging the Attractiveness of a Female Body Shape</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Man%20N.%20M.%20Cheung">Man N. M. Cheung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In judging the attractiveness of female body shape, visual sense is one of the important means. The ratio and proportion of body shape influence the perception of female physical attractiveness. This study aims to examine visual perception of digital textile prints on a virtual 3D model in judging the attractiveness of the body shape. Also, investigate the influences when using different shape parameters and their relationships. Participants were asked to conduct a set of questionnaires with images to rank the attractiveness of the female body shape. Results showed that morphing the fabric prints with a certain ratio and combination of shape parameters - waist and hip, can enhance the attractiveness of the female body shape. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=digital%20printing" title="digital printing">digital printing</a>, <a href="https://publications.waset.org/abstracts/search?q=3D%20body%20modeling" title=" 3D body modeling"> 3D body modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=fashion%20print%20design" title=" fashion print design"> fashion print design</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20shape%20attractiveness" title=" body shape attractiveness"> body shape attractiveness</a> </p> <a href="https://publications.waset.org/abstracts/96035/a-study-of-parameters-that-have-an-influence-on-fabric-prints-in-judging-the-attractiveness-of-a-female-body-shape" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96035.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">177</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">5583</span> Development of a Shape Based Estimation Technology Using Terrestrial Laser Scanning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gichun%20Cha">Gichun Cha</a>, <a href="https://publications.waset.org/abstracts/search?q=Byoungjoon%20Yu"> Byoungjoon Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Jihwan%20Park"> Jihwan Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Minsoo%20Park"> Minsoo Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Junghyun%20Im"> Junghyun Im</a>, <a href="https://publications.waset.org/abstracts/search?q=Sehwan%20Park"> Sehwan Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Sujung%20Sin"> Sujung Sin</a>, <a href="https://publications.waset.org/abstracts/search?q=Seunghee%20Park"> Seunghee Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The goal of this research is to estimate a structural shape change using terrestrial laser scanning. This study proceeds with development of data reduction and shape change estimation algorithm for large-capacity scan data. The point cloud of scan data was converted to voxel and sampled. Technique of shape estimation is studied to detect changes in structure patterns, such as skyscrapers, bridges, and tunnels based on large point cloud data. The point cloud analysis applies the octree data structure to speed up the post-processing process for change detection. The point cloud data is the relative representative value of shape information, and it used as a model for detecting point cloud changes in a data structure. Shape estimation model is to develop a technology that can detect not only normal but also immediate structural changes in the event of disasters such as earthquakes, typhoons, and fires, thereby preventing major accidents caused by aging and disasters. The study will be expected to improve the efficiency of structural health monitoring and maintenance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=terrestrial%20laser%20scanning" title="terrestrial laser scanning">terrestrial laser scanning</a>, <a href="https://publications.waset.org/abstracts/search?q=point%20cloud" title=" point cloud"> point cloud</a>, <a href="https://publications.waset.org/abstracts/search?q=shape%20information%20model" title=" shape information model"> shape information model</a>, <a href="https://publications.waset.org/abstracts/search?q=displacement%20measurement" title=" displacement measurement"> displacement measurement</a> </p> <a href="https://publications.waset.org/abstracts/92768/development-of-a-shape-based-estimation-technology-using-terrestrial-laser-scanning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/92768.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">234</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">5582</span> Thermal Performance Investigation on Cross V-Shape Solar Air Collectors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xi%20Luo">Xi Luo</a>, <a href="https://publications.waset.org/abstracts/search?q=Xu%20Ji"> Xu Ji</a>, <a href="https://publications.waset.org/abstracts/search?q=Yunfeng%20Wang"> Yunfeng Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Guoliang%20Li"> Guoliang Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Chongqiang%20Yan"> Chongqiang Yan</a>, <a href="https://publications.waset.org/abstracts/search?q=Ming%20Li"> Ming Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Two different kinds of cross V-shape solar air collectors are designed and constructed. In the transverse cross V-shape collector, the V-shape bottom plate is along the air flow direction and the absorbing plate is perpendicular to the air flow direction. In the lengthway cross V-shape collector, the V-shape absorbing plate is along the air flow direction and the bottom plate is perpendicular to the air flow direction. Based on heat balance, the mathematical model is built to evaluate their performances. These thermal performances of the two cross V-shape solar air collectors and an extra traditional flat-plate solar air collector are characterized under various operating conditions by experiments. The experimental results agree well with the calculation values. The experimental results prove that the thermal efficiency of transverse cross V-shape collector precedes that of others. The air temperature at any point along the flow direction of the transverse cross V-shape collector is higher than that of the lengthway cross V-shape collector. For the transverse cross V-shape collector, the most effective length of flow channel is 0.9m. For the lengthway cross V-shape collector, a longer flow channel is necessary to achieve a good thermal performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cross%20v-shape" title="cross v-shape">cross v-shape</a>, <a href="https://publications.waset.org/abstracts/search?q=performance" title=" performance"> performance</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20air%20collector" title=" solar air collector"> solar air collector</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20efficiency" title=" thermal efficiency"> thermal efficiency</a> </p> <a href="https://publications.waset.org/abstracts/87584/thermal-performance-investigation-on-cross-v-shape-solar-air-collectors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/87584.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">311</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">5581</span> Plagiarism Detection for Flowchart and Figures in Texts</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmadu%20Maidorawa">Ahmadu Maidorawa</a>, <a href="https://publications.waset.org/abstracts/search?q=Idrissa%20Djibo"> Idrissa Djibo</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Tella"> Muhammad Tella </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a method for detecting flow chart and figure plagiarism based on shape of image processing and multimedia retrieval. The method managed to retrieve flowcharts with ranked similarity according to different matching sets. Plagiarism detection is well known phenomenon in the academic arena. Copying other people is considered as serious offense that needs to be checked. There are many plagiarism detection systems such as turn-it-in that has been developed to provide these checks. Most, if not all, discard the figures and charts before checking for plagiarism. Discarding the figures and charts result in look holes that people can take advantage. That means people can plagiarize figures and charts easily without the current plagiarism systems detecting it. There are very few papers which talks about flowcharts plagiarism detection. Therefore, there is a need to develop a system that will detect plagiarism in figures and charts. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flowchart" title="flowchart">flowchart</a>, <a href="https://publications.waset.org/abstracts/search?q=multimedia%20retrieval" title=" multimedia retrieval"> multimedia retrieval</a>, <a href="https://publications.waset.org/abstracts/search?q=figures%20similarity" title=" figures similarity"> figures similarity</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20comparison" title=" image comparison"> image comparison</a>, <a href="https://publications.waset.org/abstracts/search?q=figure%20retrieval" title=" figure retrieval"> figure retrieval</a> </p> <a href="https://publications.waset.org/abstracts/32548/plagiarism-detection-for-flowchart-and-figures-in-texts" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32548.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">464</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">5580</span> Reduction of False Positives in Head-Shoulder Detection Based on Multi-Part Color Segmentation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lae-Jeong%20Park">Lae-Jeong Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper presents a method that utilizes figure-ground color segmentation to extract effective global feature in terms of false positive reduction in the head-shoulder detection. Conventional detectors that rely on local features such as HOG due to real-time operation suffer from false positives. Color cue in an input image provides salient information on a global characteristic which is necessary to alleviate the false positives of the local feature based detectors. An effective approach that uses figure-ground color segmentation has been presented in an effort to reduce the false positives in object detection. In this paper, an extended version of the approach is presented that adopts separate multipart foregrounds instead of a single prior foreground and performs the figure-ground color segmentation with each of the foregrounds. The multipart foregrounds include the parts of the head-shoulder shape and additional auxiliary foregrounds being optimized by a search algorithm. A classifier is constructed with the feature that consists of a set of the multiple resulting segmentations. Experimental results show that the presented method can discriminate more false positive than the single prior shape-based classifier as well as detectors with the local features. The improvement is possible because the presented approach can reduce the false positives that have the same colors in the head and shoulder foregrounds. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pedestrian%20detection" title="pedestrian detection">pedestrian detection</a>, <a href="https://publications.waset.org/abstracts/search?q=color%20segmentation" title=" color segmentation"> color segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=false%20positive" title=" false positive"> false positive</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20extraction" title=" feature extraction"> feature extraction</a> </p> <a href="https://publications.waset.org/abstracts/61932/reduction-of-false-positives-in-head-shoulder-detection-based-on-multi-part-color-segmentation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61932.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">281</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">5579</span> Automatic Censoring in K-Distribution for Multiple Targets Situations </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Naime%20Boudemagh">Naime Boudemagh</a>, <a href="https://publications.waset.org/abstracts/search?q=Zoheir%20Hammoudi"> Zoheir Hammoudi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The parameters estimation of the K-distribution is an essential part in radar detection. In fact, presence of interfering targets in reference cells causes a decrease in detection performances. In such situation, the estimate of the shape and the scale parameters are far from the actual values. In the order to avoid interfering targets, we propose an Automatic Censoring (AC) algorithm of radar interfering targets in K-distribution. The censoring technique used in this work offers a good discrimination between homogeneous and non-homogeneous environments. The homogeneous population is then used to estimate the unknown parameters by the classical Method of Moment (MOM). The AC algorithm does not need any prior information about the clutter parameters nor does it require both the number and the position of interfering targets. The accuracy of the estimation parameters obtained by this algorithm are validated and compared to various actual values of the shape parameter, using Monte Carlo simulations, this latter show that the probability of censing in multiple target situations are in good agreement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=parameters%20estimation" title="parameters estimation">parameters estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=method%20of%20moments" title=" method of moments"> method of moments</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20censoring" title=" automatic censoring"> automatic censoring</a>, <a href="https://publications.waset.org/abstracts/search?q=K%20distribution" title=" K distribution "> K distribution </a> </p> <a href="https://publications.waset.org/abstracts/12906/automatic-censoring-in-k-distribution-for-multiple-targets-situations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12906.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">373</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">5578</span> A Study on Optimum Shape in According to Equivalent Stress Distributions at the Die and Plug in the Multi-Pass Drawing Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yeon-Jong%20Jeong">Yeon-Jong Jeong</a>, <a href="https://publications.waset.org/abstracts/search?q=Mok-Tan%20Ahn"> Mok-Tan Ahn</a>, <a href="https://publications.waset.org/abstracts/search?q=Seok-Hyeon%20Park"> Seok-Hyeon Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Seong-Hun%20Ha"> Seong-Hun Ha</a>, <a href="https://publications.waset.org/abstracts/search?q=Joon-Hong%20Park"> Joon-Hong Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Jong-Bae%20Park"> Jong-Bae Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Multi-stage drawing process is an important technique for forming a shape that cannot be molded in a single process. multi-stage drawing process in number of passes and the shape of the die are an important factors influencing the productivity and formability of the product. The number and shape of the multi-path in the mold of the drawing process is very influencing the productivity and formability of the product. Half angle of the die and mandrel affects the drawing force and it also affects the completion of the final shape. Thus reducing the number of pass and the die shape optimization are necessary to improve the formability of the billet. Analyzing the load on the die through the FEM analysis and in consideration of the formability of the material presents a die model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multi-pass%20shape%20drawing" title="multi-pass shape drawing">multi-pass shape drawing</a>, <a href="https://publications.waset.org/abstracts/search?q=equivalent%20stress" title=" equivalent stress"> equivalent stress</a>, <a href="https://publications.waset.org/abstracts/search?q=FEM" title=" FEM"> FEM</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=optimum%20shape" title=" optimum shape"> optimum shape</a> </p> <a href="https://publications.waset.org/abstracts/60708/a-study-on-optimum-shape-in-according-to-equivalent-stress-distributions-at-the-die-and-plug-in-the-multi-pass-drawing-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60708.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">479</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">5577</span> Multi-Pass Shape Drawing Process Design for Manufacturing of Automotive Reinforcing Agent with Closed Cross-Section Shape using Finite Element Method Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mok-Tan%20Ahn">Mok-Tan Ahn</a>, <a href="https://publications.waset.org/abstracts/search?q=Hyeok%20Choi"> Hyeok Choi</a>, <a href="https://publications.waset.org/abstracts/search?q=Joon-Hong%20Park"> Joon-Hong Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Multi-stage drawing process is an important technique for forming a shape that cannot be molded in a single process. multi-stage drawing process in number of passes and the shape of the die are an important factor influencing the productivity and moldability of the product. The number and shape of the multi-path in the mold of the drawing process is very influencing the productivity and moldability of the product. Half angle of the die and mandrel affects the drawing force and it also affects the completion of the final shape. Thus reducing the number of pass and the die shape optimization are necessary to improve the formability of the billet. The purpose of this study, Analyzing the load on the die through the FEM analysis and in consideration of the formability of the material presents a die model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automotive%20reinforcing%20agent" title="automotive reinforcing agent">automotive reinforcing agent</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-pass%20shape%20drawing" title=" multi-pass shape drawing"> multi-pass shape drawing</a>, <a href="https://publications.waset.org/abstracts/search?q=automotive%20parts" title=" automotive parts"> automotive parts</a>, <a href="https://publications.waset.org/abstracts/search?q=FEM%20analysis" title=" FEM analysis"> FEM analysis</a> </p> <a href="https://publications.waset.org/abstracts/57476/multi-pass-shape-drawing-process-design-for-manufacturing-of-automotive-reinforcing-agent-with-closed-cross-section-shape-using-finite-element-method-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57476.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">454</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">5576</span> Efficient Signal Detection Using QRD-M Based on Channel Condition in MIMO-OFDM System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jae-Jeong%20Kim">Jae-Jeong Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Ki-Ro%20Kim"> Ki-Ro Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Hyoung-Kyu%20Song"> Hyoung-Kyu Song</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we propose an efficient signal detector that switches M parameter of QRD-M detection scheme is proposed for MIMO-OFDM system. The proposed detection scheme calculates the threshold by 1-norm condition number and then switches M parameter of QRD-M detection scheme according to channel information. If channel condition is bad, the parameter M is set to high value to increase the accuracy of detection. If channel condition is good, the parameter M is set to low value to reduce complexity of detection. Therefore, the proposed detection scheme has better trade off between BER performance and complexity than the conventional detection scheme. The simulation result shows that the complexity of proposed detection scheme is lower than QRD-M detection scheme with similar BER performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=MIMO-OFDM" title="MIMO-OFDM">MIMO-OFDM</a>, <a href="https://publications.waset.org/abstracts/search?q=QRD-M" title=" QRD-M"> QRD-M</a>, <a href="https://publications.waset.org/abstracts/search?q=channel%20condition" title=" channel condition"> channel condition</a>, <a href="https://publications.waset.org/abstracts/search?q=BER" title=" BER"> BER</a> </p> <a href="https://publications.waset.org/abstracts/3518/efficient-signal-detection-using-qrd-m-based-on-channel-condition-in-mimo-ofdm-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3518.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">370</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">5575</span> An Image Processing Scheme for Skin Fungal Disease Identification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20A.%20M.%20A.%20S.%20S.%20Perera">A. A. M. A. S. S. Perera</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20A.%20Ranasinghe"> L. A. Ranasinghe</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20K.%20H.%20Nimeshika"> T. K. H. Nimeshika</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20M.%20Dhanushka%20Dissanayake"> D. M. Dhanushka Dissanayake</a>, <a href="https://publications.waset.org/abstracts/search?q=Namalie%20Walgampaya"> Namalie Walgampaya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, skin fungal diseases are mostly found in people of tropical countries like Sri Lanka. A skin fungal disease is a particular kind of illness caused by fungus. These diseases have various dangerous effects on the skin and keep on spreading over time. It becomes important to identify these diseases at their initial stage to control it from spreading. This paper presents an automated skin fungal disease identification system implemented to speed up the diagnosis process by identifying skin fungal infections in digital images. An image of the diseased skin lesion is acquired and a comprehensive computer vision and image processing scheme is used to process the image for the disease identification. This includes colour analysis using RGB and HSV colour models, texture classification using Grey Level Run Length Matrix, Grey Level Co-Occurrence Matrix and Local Binary Pattern, Object detection, Shape Identification and many more. This paper presents the approach and its outcome for identification of four most common skin fungal infections, namely, Tinea Corporis, Sporotrichosis, Malassezia and Onychomycosis. The main intention of this research is to provide an automated skin fungal disease identification system that increase the diagnostic quality, shorten the time-to-diagnosis and improve the efficiency of detection and successful treatment for skin fungal diseases. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Circularity%20Index" title="Circularity Index">Circularity Index</a>, <a href="https://publications.waset.org/abstracts/search?q=Grey%20Level%20Run%20Length%20Matrix" title=" Grey Level Run Length Matrix"> Grey Level Run Length Matrix</a>, <a href="https://publications.waset.org/abstracts/search?q=Grey%20Level%20Co-Occurrence%20Matrix" title=" Grey Level Co-Occurrence Matrix"> Grey Level Co-Occurrence Matrix</a>, <a href="https://publications.waset.org/abstracts/search?q=Local%20Binary%20Pattern" title=" Local Binary Pattern"> Local Binary Pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=Object%20detection" title=" Object detection"> Object detection</a>, <a href="https://publications.waset.org/abstracts/search?q=Ring%20Detection" title=" Ring Detection"> Ring Detection</a>, <a href="https://publications.waset.org/abstracts/search?q=Shape%20Identification" title=" Shape Identification"> Shape Identification</a> </p> <a href="https://publications.waset.org/abstracts/82490/an-image-processing-scheme-for-skin-fungal-disease-identification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82490.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">231</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">5574</span> Reduced Complexity of ML Detection Combined with DFE</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jae-Hyun%20Ro">Jae-Hyun Ro</a>, <a href="https://publications.waset.org/abstracts/search?q=Yong-Jun%20Kim"> Yong-Jun Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Chang-Bin%20Ha"> Chang-Bin Ha</a>, <a href="https://publications.waset.org/abstracts/search?q=Hyoung-Kyu%20Song"> Hyoung-Kyu Song </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems, many detection schemes have been developed to improve the error performance and to reduce the complexity. Maximum likelihood (ML) detection has optimal error performance but it has very high complexity. Thus, this paper proposes reduced complexity of ML detection combined with decision feedback equalizer (DFE). The error performance of the proposed detection scheme is higher than the conventional DFE. But the complexity of the proposed scheme is lower than the conventional ML detection. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=detection" title="detection">detection</a>, <a href="https://publications.waset.org/abstracts/search?q=DFE" title=" DFE"> DFE</a>, <a href="https://publications.waset.org/abstracts/search?q=MIMO-OFDM" title=" MIMO-OFDM"> MIMO-OFDM</a>, <a href="https://publications.waset.org/abstracts/search?q=ML" title=" ML"> ML</a> </p> <a href="https://publications.waset.org/abstracts/42215/reduced-complexity-of-ml-detection-combined-with-dfe" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42215.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">610</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">5573</span> Study of Energy Dissipation in Shape Memory Alloys: A Comparison between Austenite and Martensite Phase of SMAs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amirmozafar%20Benshams">Amirmozafar Benshams</a>, <a href="https://publications.waset.org/abstracts/search?q=Khatere%20Kashmari"> Khatere Kashmari</a>, <a href="https://publications.waset.org/abstracts/search?q=Farzad%20Hatami"> Farzad Hatami</a>, <a href="https://publications.waset.org/abstracts/search?q=Mesbah%20Saybani"> Mesbah Saybani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Shape memory alloys with high capability of energy dissipation and large deformation bearing with return ability to their original shape without too much hysteresis strain have opened their place among the other damping systems as smart materials. Ninitol which is the most well-known and most used alloy material from the shape memory alloys family, has high resistance and fatigue and is coverage for large deformations. Shape memory effect and super-elasticity by shape alloys like Nitinol, are the reasons of the high power of these materials in energy depreciation. Thus, these materials are suitable for use in reciprocating dynamic loading conditions. The experiments results showed that Nitinol wires with small diameter have greater energy dissipation capability and by increase of diameter and thickness the damping capability and energy dissipation increase. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=shape%20memory%20alloys" title="shape memory alloys">shape memory alloys</a>, <a href="https://publications.waset.org/abstracts/search?q=shape%20memory%20effect" title=" shape memory effect"> shape memory effect</a>, <a href="https://publications.waset.org/abstracts/search?q=super%20elastic%20effect" title=" super elastic effect"> super elastic effect</a>, <a href="https://publications.waset.org/abstracts/search?q=nitinol" title=" nitinol"> nitinol</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20dissipation" title=" energy dissipation"> energy dissipation</a> </p> <a href="https://publications.waset.org/abstracts/55075/study-of-energy-dissipation-in-shape-memory-alloys-a-comparison-between-austenite-and-martensite-phase-of-smas" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55075.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">512</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">5572</span> A Machining Method of Cross-Shape Nano Channel and Experiments for Silicon Substrate</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zone-Ching%20Lin">Zone-Ching Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Hao-Yuan%20Jheng"> Hao-Yuan Jheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Zih-Wun%20Jhang"> Zih-Wun Jhang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper innovatively proposes using the concept of specific down force energy (SDFE) and AFM machine to establish a machining method of cross-shape nanochannel on single-crystal silicon substrate. As for machining a cross-shape nanochannel by AFM machine, the paper develop a method of machining cross-shape nanochannel groove at a fixed down force by using SDFE theory and combining the planned cutting path of cross-shape nanochannel up to 5th machining layer it finally achieves a cross-shape nanochannel at a cutting depth of around 20nm. Since there may be standing burr at the machined cross-shape nanochannel edge, the paper uses a smaller down force to cut the edge of the cross-shape nanochannel in order to lower the height of standing burr and converge the height of standing burr at the edge to below 0.54nm as set by the paper. Finally, the paper conducts experiments of machining cross-shape nanochannel groove on single-crystal silicon by AFM probe, and compares the simulation and experimental results. It is proved that this proposed machining method of cross-shape nanochannel is feasible. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=atomic%20force%20microscopy%20%28AFM%29" title="atomic force microscopy (AFM)">atomic force microscopy (AFM)</a>, <a href="https://publications.waset.org/abstracts/search?q=cross-shape%20nanochannel" title=" cross-shape nanochannel"> cross-shape nanochannel</a>, <a href="https://publications.waset.org/abstracts/search?q=silicon%20substrate" title=" silicon substrate"> silicon substrate</a>, <a href="https://publications.waset.org/abstracts/search?q=specific%20down%20force%20energy%20%28SDFE%29" title=" specific down force energy (SDFE)"> specific down force energy (SDFE)</a> </p> <a href="https://publications.waset.org/abstracts/26057/a-machining-method-of-cross-shape-nano-channel-and-experiments-for-silicon-substrate" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26057.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">372</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">5571</span> Study of Tool Shape during Electrical Discharge Machining of AISI 52100 Steel</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arminder%20Singh%20Walia">Arminder Singh Walia</a>, <a href="https://publications.waset.org/abstracts/search?q=Vineet%20Srivastava"> Vineet Srivastava</a>, <a href="https://publications.waset.org/abstracts/search?q=Vivek%20Jain"> Vivek Jain</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Electrical Discharge Machining (EDM) operations, the workpiece confers to the shape of the tool. Further, the cost of the tool contributes the maximum effect on total operation cost. Therefore, the shape and profile of the tool become highly significant. Thus, in this work, an attempt has been made to study the effect of process parameters on the shape of the tool. Copper has been used as the tool material for the machining of AISI 52100 die steel. The shape of the tool has been evaluated by determining the difference in out of roundness of tool before and after machining. Statistical model has been developed and significant process parameters have been identified which affect the shape of the tool. Optimum process parameters have been identified which minimizes the shape distortion. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=discharge%20current" title="discharge current">discharge current</a>, <a href="https://publications.waset.org/abstracts/search?q=flushing%20pressure" title=" flushing pressure"> flushing pressure</a>, <a href="https://publications.waset.org/abstracts/search?q=pulse-on%20time" title=" pulse-on time"> pulse-on time</a>, <a href="https://publications.waset.org/abstracts/search?q=pulse-off%20time" title=" pulse-off time"> pulse-off time</a>, <a href="https://publications.waset.org/abstracts/search?q=out%20of%20roundness" title=" out of roundness"> out of roundness</a>, <a href="https://publications.waset.org/abstracts/search?q=electrical%20discharge%20machining" title=" electrical discharge machining"> electrical discharge machining</a> </p> <a href="https://publications.waset.org/abstracts/89159/study-of-tool-shape-during-electrical-discharge-machining-of-aisi-52100-steel" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89159.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">283</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">5570</span> A New 3D Shape Descriptor Based on Multi-Resolution and Multi-Block CS-LBP</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nihad%20Karim%20Chowdhury">Nihad Karim Chowdhury</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Sanaullah%20Chowdhury"> Mohammad Sanaullah Chowdhury</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammed%20Jamshed%20Alam%20Patwary"> Muhammed Jamshed Alam Patwary</a>, <a href="https://publications.waset.org/abstracts/search?q=Rubel%20Biswas"> Rubel Biswas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In content-based 3D shape retrieval system, achieving high search performance has become an important research problem. A challenging aspect of this problem is to find an effective shape descriptor which can discriminate similar shapes adequately. To address this problem, we propose a new shape descriptor for 3D shape models by combining multi-resolution with multi-block center-symmetric local binary pattern operator. Given an arbitrary 3D shape, we first apply pose normalization, and generate a set of multi-viewed 2D rendered images. Second, we apply Gaussian multi-resolution filter to generate several levels of images from each of 2D rendered image. Then, overlapped sub-images are computed for each image level of a multi-resolution image. Our unique multi-block CS-LBP comes next. It allows the center to be composed of m-by-n rectangular pixels, instead of a single pixel. This process is repeated for all the 2D rendered images, derived from both ‘depth-buffer’ and ‘silhouette’ rendering. Finally, we concatenate all the features vectors into one dimensional histogram as our proposed 3D shape descriptor. Through several experiments, we demonstrate that our proposed 3D shape descriptor outperform the previous methods by using a benchmark dataset. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=3D%20shape%20retrieval" title="3D shape retrieval">3D shape retrieval</a>, <a href="https://publications.waset.org/abstracts/search?q=3D%20shape%20descriptor" title=" 3D shape descriptor"> 3D shape descriptor</a>, <a href="https://publications.waset.org/abstracts/search?q=CS-LBP" title=" CS-LBP"> CS-LBP</a>, <a href="https://publications.waset.org/abstracts/search?q=overlapped%20sub-images" title=" overlapped sub-images"> overlapped sub-images</a> </p> <a href="https://publications.waset.org/abstracts/40165/a-new-3d-shape-descriptor-based-on-multi-resolution-and-multi-block-cs-lbp" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40165.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">5569</span> Cigarette Smoke Detection Based on YOLOV3</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wei%20Li">Wei Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Tuo%20Yang"> Tuo Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to satisfy the real-time and accurate requirements of cigarette smoke detection in complex scenes, a cigarette smoke detection technology based on the combination of deep learning and color features was proposed. Firstly, based on the color features of cigarette smoke, the suspicious cigarette smoke area in the image is extracted. Secondly, combined with the efficiency of cigarette smoke detection and the problem of network overfitting, a network model for cigarette smoke detection was designed according to YOLOV3 algorithm to reduce the false detection rate. The experimental results show that the method is feasible and effective, and the accuracy of cigarette smoke detection is up to 99.13%, which satisfies the requirements of real-time cigarette smoke detection in complex scenes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title="deep learning">deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=computer%20vision" title=" computer vision"> computer vision</a>, <a href="https://publications.waset.org/abstracts/search?q=cigarette%20smoke%20detection" title=" cigarette smoke detection"> cigarette smoke detection</a>, <a href="https://publications.waset.org/abstracts/search?q=YOLOV3" title=" YOLOV3"> YOLOV3</a>, <a href="https://publications.waset.org/abstracts/search?q=color%20feature%20extraction" title=" color feature extraction"> color feature extraction</a> </p> <a href="https://publications.waset.org/abstracts/159151/cigarette-smoke-detection-based-on-yolov3" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159151.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">87</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">5568</span> Fully Automated Methods for the Detection and Segmentation of Mitochondria in Microscopy Images</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Blessing%20Ojeme">Blessing Ojeme</a>, <a href="https://publications.waset.org/abstracts/search?q=Frederick%20Quinn"> Frederick Quinn</a>, <a href="https://publications.waset.org/abstracts/search?q=Russell%20Karls"> Russell Karls</a>, <a href="https://publications.waset.org/abstracts/search?q=Shannon%20Quinn"> Shannon Quinn</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The detection and segmentation of mitochondria from fluorescence microscopy are crucial for understanding the complex structure of the nervous system. However, the constant fission and fusion of mitochondria and image distortion in the background make the task of detection and segmentation challenging. In the literature, a number of open-source software tools and artificial intelligence (AI) methods have been described for analyzing mitochondrial images, achieving remarkable classification and quantitation results. However, the availability of combined expertise in the medical field and AI required to utilize these tools poses a challenge to its full adoption and use in clinical settings. Motivated by the advantages of automated methods in terms of good performance, minimum detection time, ease of implementation, and cross-platform compatibility, this study proposes a fully automated framework for the detection and segmentation of mitochondria using both image shape information and descriptive statistics. Using the low-cost, open-source python and openCV library, the algorithms are implemented in three stages: pre-processing, image binarization, and coarse-to-fine segmentation. The proposed model is validated using the mitochondrial fluorescence dataset. Ground truth labels generated using a Lab kit were also used to evaluate the performance of our detection and segmentation model. The study produces good detection and segmentation results and reports the challenges encountered during the image analysis of mitochondrial morphology from the fluorescence mitochondrial dataset. A discussion on the methods and future perspectives of fully automated frameworks conclude the paper. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=2D" title="2D">2D</a>, <a href="https://publications.waset.org/abstracts/search?q=binarization" title=" binarization"> binarization</a>, <a href="https://publications.waset.org/abstracts/search?q=CLAHE" title=" CLAHE"> CLAHE</a>, <a href="https://publications.waset.org/abstracts/search?q=detection" title=" detection"> detection</a>, <a href="https://publications.waset.org/abstracts/search?q=fluorescence%20microscopy" title=" fluorescence microscopy"> fluorescence microscopy</a>, <a href="https://publications.waset.org/abstracts/search?q=mitochondria" title=" mitochondria"> mitochondria</a>, <a href="https://publications.waset.org/abstracts/search?q=segmentation" title=" segmentation"> segmentation</a> </p> <a href="https://publications.waset.org/abstracts/153306/fully-automated-methods-for-the-detection-and-segmentation-of-mitochondria-in-microscopy-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153306.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">357</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">5567</span> Method and Experiment of Fabricating and Cutting the Burr for Y Shape Nanochannel </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zone-Ching%20Lin">Zone-Ching Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Hao-Yuan%20Jheng"> Hao-Yuan Jheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Shih-Hung%20Ma"> Shih-Hung Ma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present paper proposes using atomic force microscopy (AFM) and the concept of specific down force energy (SDFE) to establish a method for fabricating and cutting the burr for Y shape nanochannel on silicon (Si) substrate. For fabricating Y shape nanochannel, it first makes the experimental cutting path planning for fabricating Y shape nanochannel until the fifth cutting layer. Using the constant down force by AFM and SDFE theory and following the experimental cutting path planning, the cutting depth and width of each pass of Y shape nanochannel can be predicted by simulation. The paper plans the path for cutting the burr at the edge of Y shape nanochannel. Then, it carries out cutting the burr along the Y nanochannel edge by using a smaller down force. The height of standing burr at the edge is required to be below the set value of 0.54 nm. The results of simulation and experiment of fabricating and cutting the burr for Y shape nanochannel is further compared. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=atomic%20force%20microscopy%20%28AFM%29" title="atomic force microscopy (AFM)">atomic force microscopy (AFM)</a>, <a href="https://publications.waset.org/abstracts/search?q=nanochannel" title=" nanochannel"> nanochannel</a>, <a href="https://publications.waset.org/abstracts/search?q=specific%20down%20force%20energy%20%28SDFE%29" title=" specific down force energy (SDFE)"> specific down force energy (SDFE)</a>, <a href="https://publications.waset.org/abstracts/search?q=Y%20shape" title=" Y shape"> Y shape</a>, <a href="https://publications.waset.org/abstracts/search?q=burr" title=" burr"> burr</a>, <a href="https://publications.waset.org/abstracts/search?q=silicon" title=" silicon"> silicon</a> </p> <a href="https://publications.waset.org/abstracts/50887/method-and-experiment-of-fabricating-and-cutting-the-burr-for-y-shape-nanochannel" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50887.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">407</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">5566</span> Determination of Relationship among Shape Indexes Used for Land Consolidation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Firat%20Arslan">Firat Arslan</a>, <a href="https://publications.waset.org/abstracts/search?q=Hasan%20Degirmenci"> Hasan Degirmenci</a>, <a href="https://publications.waset.org/abstracts/search?q=Serife%20Tulin%20Akkaya%20Aslan"> Serife Tulin Akkaya Aslan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of the current experiment was to determine the relationship among shape indexes which are used by the researchers in many fields to evaluate parcel shapes which is very important for farming even if these indexes are controversial. In the current study, land consolidation project of Halitaga village in Mersin province in Turkey which has 278 parcel and cover 894.4 ha, was taken as a material. Commonly used indicators such as fractal dimension (FD), shape index (SI), form factor (FORM), areal form factor (AFF) and two distinct area-perimeter ratio (APR-1 and APR2) in land consolidation are used to measure agricultural plot’s shape. FD was positively correlated with SI, APR-1 and APR-2 whereas it was negatively correlated with FORM and AFF. SI was positively correlated with APR-1 and APR-2 whereas it was negatively correlated with FORM and AFF. As a conclusion, it is likely that these indexes involved may be used interchangeably due to high correlations among them. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GIS" title="GIS">GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20consolidation" title=" land consolidation"> land consolidation</a>, <a href="https://publications.waset.org/abstracts/search?q=parcel%20shape" title=" parcel shape"> parcel shape</a>, <a href="https://publications.waset.org/abstracts/search?q=shape%20index" title=" shape index"> shape index</a> </p> <a href="https://publications.waset.org/abstracts/89511/determination-of-relationship-among-shape-indexes-used-for-land-consolidation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89511.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">187</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">5565</span> Inverse Mode Shape Problem of Hand-Arm Vibration (Humerus Bone) for Bio-Dynamic Response Using Varying Boundary Conditions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ajay%20R">Ajay R</a>, <a href="https://publications.waset.org/abstracts/search?q=Rammohan%20B"> Rammohan B</a>, <a href="https://publications.waset.org/abstracts/search?q=Sridhar%20K%20S%20S"> Sridhar K S S</a>, <a href="https://publications.waset.org/abstracts/search?q=Gurusharan%20%20N"> Gurusharan N</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of the work is to develop a numerical method to solve the inverse mode shape problem by determining the cross-sectional area of a structure for the desired mode shape via the vibration response study of the humerus bone, which is in the form of a cantilever beam with anisotropic material properties. The humerus bone is the long bone in the arm that connects the shoulder to the elbow. The mode shape is assumed to be a higher-order polynomial satisfying a prescribed set of boundary conditions to converge the numerical algorithm. The natural frequency and the mode shapes are calculated for different boundary conditions to find the cross-sectional area of humerus bone from Eigenmode shape with the aid of the inverse mode shape algorithm. The cross-sectional area of humerus bone validates the mode shapes of specific boundary conditions. The numerical method to solve the inverse mode shape problem is validated in the biomedical application by finding the cross-sectional area of a humerus bone in the human arm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cross-sectional%20area" title="Cross-sectional area">Cross-sectional area</a>, <a href="https://publications.waset.org/abstracts/search?q=Humerus%20bone" title=" Humerus bone"> Humerus bone</a>, <a href="https://publications.waset.org/abstracts/search?q=Inverse%20mode%20shape%20problem" title=" Inverse mode shape problem"> Inverse mode shape problem</a>, <a href="https://publications.waset.org/abstracts/search?q=Mode%20shape" title=" Mode shape"> Mode shape</a> </p> <a href="https://publications.waset.org/abstracts/125654/inverse-mode-shape-problem-of-hand-arm-vibration-humerus-bone-for-bio-dynamic-response-using-varying-boundary-conditions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/125654.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">126</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">5564</span> RGB Color Based Real Time Traffic Sign Detection and Feature Extraction System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kay%20Thinzar%20Phu">Kay Thinzar Phu</a>, <a href="https://publications.waset.org/abstracts/search?q=Lwin%20Lwin%20Oo"> Lwin Lwin Oo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In an intelligent transport system and advanced driver assistance system, the developing of real-time traffic sign detection and recognition (TSDR) system plays an important part in recent research field. There are many challenges for developing real-time TSDR system due to motion artifacts, variable lighting and weather conditions and situations of traffic signs. Researchers have already proposed various methods to minimize the challenges problem. The aim of the proposed research is to develop an efficient and effective TSDR in real time. This system proposes an adaptive thresholding method based on RGB color for traffic signs detection and new features for traffic signs recognition. In this system, the RGB color thresholding is used to detect the blue and yellow color traffic signs regions. The system performs the shape identify to decide whether the output candidate region is traffic sign or not. Lastly, new features such as termination points, bifurcation points, and 90’ angles are extracted from validated image. This system uses Myanmar Traffic Sign dataset. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20thresholding%20based%20on%20RGB%20color" title="adaptive thresholding based on RGB color">adaptive thresholding based on RGB color</a>, <a href="https://publications.waset.org/abstracts/search?q=blue%20color%20detection" title=" blue color detection"> blue color detection</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20extraction" title=" feature extraction"> feature extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=yellow%20color%20detection" title=" yellow color detection"> yellow color detection</a> </p> <a href="https://publications.waset.org/abstracts/77127/rgb-color-based-real-time-traffic-sign-detection-and-feature-extraction-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77127.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">5563</span> An Architecture for New Generation of Distributed Intrusion Detection System Based on Preventive Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.%20Benmoussa">H. Benmoussa</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20A.%20El%20Kalam"> A. A. El Kalam</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Ait%20Ouahman"> A. Ait Ouahman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The design and implementation of intrusion detection systems (IDS) remain an important area of research in the security of information systems. Despite the importance and reputation of the current intrusion detection systems, their efficiency and effectiveness remain limited as they should include active defense approach to allow anticipating and predicting intrusions before their occurrence. Consequently, they must be readapted. For this purpose we suggest a new generation of distributed intrusion detection system based on preventive detection approach and using intelligent and mobile agents. Our architecture benefits from mobile agent features and addresses some of the issues with centralized and hierarchical models. Also, it presents advantages in terms of increasing scalability and flexibility. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Intrusion%20Detection%20System%20%28IDS%29" title="Intrusion Detection System (IDS)">Intrusion Detection System (IDS)</a>, <a href="https://publications.waset.org/abstracts/search?q=preventive%20detection" title=" preventive detection"> preventive detection</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20agents" title=" mobile agents"> mobile agents</a>, <a href="https://publications.waset.org/abstracts/search?q=distributed%20architecture" title=" distributed architecture"> distributed architecture</a> </p> <a href="https://publications.waset.org/abstracts/18239/an-architecture-for-new-generation-of-distributed-intrusion-detection-system-based-on-preventive-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18239.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">5562</span> Surface Hole Defect Detection of Rolled Sheets Based on Pixel Classification Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samira%20Taleb">Samira Taleb</a>, <a href="https://publications.waset.org/abstracts/search?q=Sakina%20Aoun"> Sakina Aoun</a>, <a href="https://publications.waset.org/abstracts/search?q=Slimane%20Ziani"> Slimane Ziani</a>, <a href="https://publications.waset.org/abstracts/search?q=Zoheir%20Mentouri"> Zoheir Mentouri</a>, <a href="https://publications.waset.org/abstracts/search?q=Adel%20Boudiaf"> Adel Boudiaf</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Rolling is a pressure treatment technique that modifies the shape of steel ingots or billets between rotating rollers. During this process, defects may form on the surface of the rolled sheets and are likely to affect the performance and quality of the finished product. In our study, we developed a method for detecting surface hole defects using a pixel classification approach. This work includes several steps. First, we performed image preprocessing to delimit areas with and without hole defects on the sheet image. Then, we developed the histograms of each area to generate the gray level membership intervals of the pixels that characterize each area. As we noticed an intersection between the characteristics of the gray level intervals of the images of the two areas, we finally performed a learning step based on a series of detection tests to refine the membership intervals of each area, and to choose the defect detection criterion in order to optimize the recognition of the surface hole. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=classification" title="classification">classification</a>, <a href="https://publications.waset.org/abstracts/search?q=defect" title=" defect"> defect</a>, <a href="https://publications.waset.org/abstracts/search?q=surface" title=" surface"> surface</a>, <a href="https://publications.waset.org/abstracts/search?q=detection" title=" detection"> detection</a>, <a href="https://publications.waset.org/abstracts/search?q=hole" title=" hole"> hole</a> </p> <a href="https://publications.waset.org/abstracts/193037/surface-hole-defect-detection-of-rolled-sheets-based-on-pixel-classification-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193037.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">15</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">5561</span> Video Based Ambient Smoke Detection By Detecting Directional Contrast Decrease</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Omair%20Ghori">Omair Ghori</a>, <a href="https://publications.waset.org/abstracts/search?q=Anton%20Stadler"> Anton Stadler</a>, <a href="https://publications.waset.org/abstracts/search?q=Stefan%20Wilk"> Stefan Wilk</a>, <a href="https://publications.waset.org/abstracts/search?q=Wolfgang%20Effelsberg"> Wolfgang Effelsberg</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fire-related incidents account for extensive loss of life and material damage. Quick and reliable detection of occurring fires has high real world implications. Whereas a major research focus lies on the detection of outdoor fires, indoor camera-based fire detection is still an open issue. Cameras in combination with computer vision helps to detect flames and smoke more quickly than conventional fire detectors. In this work, we present a computer vision-based smoke detection algorithm based on contrast changes and a multi-step classification. This work accelerates computer vision-based fire detection considerably in comparison with classical indoor-fire detection. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=contrast%20analysis" title="contrast analysis">contrast analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=early%20fire%20detection" title=" early fire detection"> early fire detection</a>, <a href="https://publications.waset.org/abstracts/search?q=video%20smoke%20detection" title=" video smoke detection"> video smoke detection</a>, <a href="https://publications.waset.org/abstracts/search?q=video%20surveillance" title=" video surveillance"> video surveillance</a> </p> <a href="https://publications.waset.org/abstracts/52006/video-based-ambient-smoke-detection-by-detecting-directional-contrast-decrease" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52006.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">447</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=shape%20detection&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=shape%20detection&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=shape%20detection&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=shape%20detection&page=5">5</a></li> <li class="page-item"><a class="page-link" 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