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Boosting</title> <meta name="description" content="Search results for: Adaptive Boosting"> <meta name="keywords" content="Adaptive Boosting"> <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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publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">797</span> Combining Bagging and Boosting</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=S.%20B.%20Kotsiantis">S. B. Kotsiantis</a>, <a href="https://publications.waset.org/search?q=P.%20E.%20Pintelas"> P. E. Pintelas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Bagging and boosting are among the most popular resampling ensemble methods that generate and combine a diversity of classifiers using the same learning algorithm for the base-classifiers. Boosting algorithms are considered stronger than bagging on noisefree data. However, there are strong empirical indications that bagging is much more robust than boosting in noisy settings. For this reason, in this work we built an ensemble using a voting methodology of bagging and boosting ensembles with 10 subclassifiers in each one. We performed a comparison with simple bagging and boosting ensembles with 25 sub-classifiers, as well as other well known combining methods, on standard benchmark datasets and the proposed technique was the most accurate.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=data%20mining" title="data mining">data mining</a>, <a href="https://publications.waset.org/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/search?q=pattern%20recognition." title=" pattern recognition."> pattern recognition.</a> </p> <a href="https://publications.waset.org/4742/combining-bagging-and-boosting" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/4742/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/4742/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/4742/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/4742/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/4742/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/4742/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/4742/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/4742/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/4742/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/4742/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/4742.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">2563</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">796</span> Combining Bagging and Additive Regression </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Sotiris%20B.%20Kotsiantis">Sotiris B. Kotsiantis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Bagging and boosting are among the most popular re-sampling ensemble methods that generate and combine a diversity of regression models using the same learning algorithm as base-learner. Boosting algorithms are considered stronger than bagging on noise-free data. However, there are strong empirical indications that bagging is much more robust than boosting in noisy settings. For this reason, in this work we built an ensemble using an averaging methodology of bagging and boosting ensembles with 10 sub-learners in each one. We performed a comparison with simple bagging and boosting ensembles with 25 sub-learners on standard benchmark datasets and the proposed ensemble gave better accuracy.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Regressors" title="Regressors">Regressors</a>, <a href="https://publications.waset.org/search?q=statistical%20learning." title=" statistical learning."> statistical learning.</a> </p> <a href="https://publications.waset.org/6392/combining-bagging-and-additive-regression" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/6392/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/6392/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/6392/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/6392/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/6392/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/6392/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/6392/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/6392/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/6392/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/6392/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/6392.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">1641</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">795</span> Fitness Action Recognition Based on MediaPipe</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Zixuan%20Xu">Zixuan Xu</a>, <a href="https://publications.waset.org/search?q=Yichun%20Lou"> Yichun Lou</a>, <a href="https://publications.waset.org/search?q=Yang%20Song"> Yang Song</a>, <a href="https://publications.waset.org/search?q=Zihuai%20Lin"> Zihuai Lin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>MediaPipe is an open-source machine learning computer vision framework that can be ported into a multi-platform environment, which makes it easier to use it to recognize human activity. Based on this framework, many human recognition systems have been created, but the fundamental issue is the recognition of human behavior and posture. In this paper, two methods are proposed to recognize human gestures based on MediaPipe, the first one uses the Adaptive Boosting algorithm to recognize a series of fitness gestures, and the second one uses the Fast Dynamic Time Warping algorithm to recognize 413 continuous fitness actions. These two methods are also applicable to any human posture movement recognition.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Computer%20Vision" title="Computer Vision">Computer Vision</a>, <a href="https://publications.waset.org/search?q=MediaPipe" title=" MediaPipe"> MediaPipe</a>, <a href="https://publications.waset.org/search?q=Adaptive%20Boosting" title=" Adaptive Boosting"> Adaptive Boosting</a>, <a href="https://publications.waset.org/search?q=Fast%0D%0ADynamic%20Time%20Warping." title=" Fast Dynamic Time Warping."> Fast Dynamic Time Warping.</a> </p> <a href="https://publications.waset.org/10012992/fitness-action-recognition-based-on-mediapipe" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10012992/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10012992/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10012992/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10012992/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10012992/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10012992/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10012992/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10012992/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10012992/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10012992/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10012992.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">857</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">794</span> Reduction of Peak Input Currents during Charge Pump Boosting in Monolithically Integrated High-Voltage Generators</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Jan%20Doutreloigne">Jan Doutreloigne</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper describes two methods for the reduction of the peak input current during the boosting of Dickson charge pumps. Both methods are implemented in the fully integrated Dickson charge pumps of a high-voltage display driver chip for smart-card applications. Experimental results reveal good correspondence with Spice simulations and show a reduction of the peak input current by a factor of 6 during boosting. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Bi-stable%20display%20driver" title="Bi-stable display driver">Bi-stable display driver</a>, <a href="https://publications.waset.org/search?q=Dickson%20charge%20pump" title=" Dickson charge pump"> Dickson charge pump</a>, <a href="https://publications.waset.org/search?q=highvoltage%0D%0Agenerator" title=" highvoltage generator"> highvoltage generator</a>, <a href="https://publications.waset.org/search?q=peak%20current%20reduction" title=" peak current reduction"> peak current reduction</a>, <a href="https://publications.waset.org/search?q=sub-pump%20boosting" title=" sub-pump boosting"> sub-pump boosting</a>, <a href="https://publications.waset.org/search?q=variable%20frequency%20boosting." title=" variable frequency boosting."> variable frequency boosting.</a> </p> <a href="https://publications.waset.org/10003426/reduction-of-peak-input-currents-during-charge-pump-boosting-in-monolithically-integrated-high-voltage-generators" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10003426/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10003426/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10003426/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10003426/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10003426/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10003426/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10003426/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10003426/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10003426/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10003426/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10003426.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">1629</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">793</span> Identifying the Gap between Consumers with Down Syndrome and Apparel Brands</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Lucky%20Farha">Lucky Farha</a>, <a href="https://publications.waset.org/search?q=Martha%20L.%20Hall"> Martha L. Hall</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>The current adaptive clothing brands are limited in numbers and specific categories. This study explores clothing challenges for children with Down syndrome and factors that influence their perception of adaptive clothing brands. Another aim of this study was to explore brands' challenges in the adaptive business and factors that influence their perceptions towards the adaptive market. In order to determine the market barriers affecting adaptive target market needs, we applied Technology Acceptance Model. After interviewing and surveying parents/caregivers having children with Down syndrome and current adaptive brands, the results found education as the significant gap in the adaptive clothing market yet to be overcome. Based on the finding, several recommendations were suggested to improve the current barriers in the adaptive clothing market.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Adaptive%20fashion" title="Adaptive fashion">Adaptive fashion</a>, <a href="https://publications.waset.org/search?q=disability" title=" disability"> disability</a>, <a href="https://publications.waset.org/search?q=functional%20clothing" title=" functional clothing"> functional clothing</a>, <a href="https://publications.waset.org/search?q=clothing%20needs%20assessment" title=" clothing needs assessment"> clothing needs assessment</a>, <a href="https://publications.waset.org/search?q=Down%20syndrome" title=" Down syndrome"> Down syndrome</a>, <a href="https://publications.waset.org/search?q=clothing%20challenge." title=" clothing challenge."> clothing challenge.</a> </p> <a href="https://publications.waset.org/10013108/identifying-the-gap-between-consumers-with-down-syndrome-and-apparel-brands" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10013108/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10013108/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10013108/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10013108/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10013108/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10013108/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10013108/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10013108/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10013108/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10013108/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10013108.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 publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">792</span> Adaptive Sliding Mode Observer for a Class of Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=D.Elleuch">D.Elleuch</a>, <a href="https://publications.waset.org/search?q=T.Damak"> T.Damak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, the performance of two adaptive observers applied to interconnected systems is studied. The nonlinearity of systems can be written in a fractional form. The first adaptive observer is an adaptive sliding mode observer for a Lipchitz nonlinear system and the second one is an adaptive sliding mode observer having a filtered error as a sliding surface. After comparing their performances throughout the inverted pendulum mounted on a car system, it was shown that the second one is more robust to estimate the state. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Adaptive%20observer" title="Adaptive observer">Adaptive observer</a>, <a href="https://publications.waset.org/search?q=Lipchitz%20system" title=" Lipchitz system"> Lipchitz system</a>, <a href="https://publications.waset.org/search?q=Interconnected%20fractional%20nonlinear%20system" title=" Interconnected fractional nonlinear system"> Interconnected fractional nonlinear system</a>, <a href="https://publications.waset.org/search?q=sliding%20mode." title=" sliding mode."> sliding mode.</a> </p> <a href="https://publications.waset.org/9018/adaptive-sliding-mode-observer-for-a-class-of-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/9018/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/9018/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/9018/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/9018/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/9018/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/9018/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/9018/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/9018/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/9018/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/9018/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/9018.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">1661</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">791</span> New Data Reuse Adaptive Filters with Noise Constraint</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Young-Seok%20Choi">Young-Seok Choi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We present a new framework of the data-reusing (DR) adaptive algorithms by incorporating a constraint on noise, referred to as a noise constraint. The motivation behind this work is that the use of the statistical knowledge of the channel noise can contribute toward improving the convergence performance of an adaptive filter in identifying a noisy linear finite impulse response (FIR) channel. By incorporating the noise constraint into the cost function of the DR adaptive algorithms, the noise constrained DR (NC-DR) adaptive algorithms are derived. Experimental results clearly indicate their superior performance over the conventional DR ones. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Adaptive%20filter" title="Adaptive filter">Adaptive filter</a>, <a href="https://publications.waset.org/search?q=data-reusing" title=" data-reusing"> data-reusing</a>, <a href="https://publications.waset.org/search?q=least-mean%20square%20%28LMS%29" title=" least-mean square (LMS)"> least-mean square (LMS)</a>, <a href="https://publications.waset.org/search?q=affine%20projection%20%28AP%29" title=" affine projection (AP)"> affine projection (AP)</a>, <a href="https://publications.waset.org/search?q=noise%20constraint." title=" noise constraint."> noise constraint.</a> </p> <a href="https://publications.waset.org/10003611/new-data-reuse-adaptive-filters-with-noise-constraint" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10003611/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10003611/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10003611/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10003611/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10003611/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10003611/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10003611/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10003611/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10003611/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10003611/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10003611.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">1627</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">790</span> Overview of Adaptive Spline Interpolation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Rongli%20Gai">Rongli Gai</a>, <a href="https://publications.waset.org/search?q=Zhiyuan%20Chang"> Zhiyuan Chang</a>, <a href="https://publications.waset.org/search?q=Xiaohong%20Wang"> Xiaohong Wang</a>, <a href="https://publications.waset.org/search?q=Jingyu%20Liu"> Jingyu Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>In view of various situations in the interpolation process, most researchers use self-adaptation to adjust the interpolation process, which is also one of the current and future research hotspots in the field of CNC (Computerized Numerical Control) machining. In the interpolation process, according to the overview of the spline curve interpolation algorithm, the adaptive analysis is carried out from the factors affecting the interpolation process. The adaptive operation is reflected in various aspects, such as speed, parameters, errors, nodes, feed rates, random period, sensitive point, step size, curvature, adaptive segmentation, adaptive optimization, etc. This paper will analyze and summarize the research of adaptive imputation in the direction of the above factors affecting imputation.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Adaptive%20algorithm" title="Adaptive algorithm">Adaptive algorithm</a>, <a href="https://publications.waset.org/search?q=CNC%20machining" title=" CNC machining"> CNC machining</a>, <a href="https://publications.waset.org/search?q=interpolation%20constraints" title=" interpolation constraints"> interpolation constraints</a>, <a href="https://publications.waset.org/search?q=spline%20curve%20interpolation." title=" spline curve interpolation."> spline curve interpolation.</a> </p> <a href="https://publications.waset.org/10012721/overview-of-adaptive-spline-interpolation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10012721/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10012721/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10012721/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10012721/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10012721/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10012721/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10012721/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10012721/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10012721/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10012721/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10012721.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 publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">789</span> Efficient Boosting-Based Active Learning for Specific Object Detection Problems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Thuy%20Thi%20Nguyen">Thuy Thi Nguyen</a>, <a href="https://publications.waset.org/search?q=Nguyen%20Dang%20Binh"> Nguyen Dang Binh</a>, <a href="https://publications.waset.org/search?q=Horst%20Bischof"> Horst Bischof</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work, we present a novel active learning approach for learning a visual object detection system. Our system is composed of an active learning mechanism as wrapper around a sub-algorithm which implement an online boosting-based learning object detector. In the core is a combination of a bootstrap procedure and a semi automatic learning process based on the online boosting procedure. The idea is to exploit the availability of classifier during learning to automatically label training samples and increasingly improves the classifier. This addresses the issue of reducing labeling effort meanwhile obtain better performance. In addition, we propose a verification process for further improvement of the classifier. The idea is to allow re-update on seen data during learning for stabilizing the detector. The main contribution of this empirical study is a demonstration that active learning based on an online boosting approach trained in this manner can achieve results comparable or even outperform a framework trained in conventional manner using much more labeling effort. Empirical experiments on challenging data set for specific object deteciton problems show the effectiveness of our approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Computer%20vision" title="Computer vision">Computer vision</a>, <a href="https://publications.waset.org/search?q=object%20detection" title=" object detection"> object detection</a>, <a href="https://publications.waset.org/search?q=online%20boosting" title=" online boosting"> online boosting</a>, <a href="https://publications.waset.org/search?q=active%20learning" title=" active learning"> active learning</a>, <a href="https://publications.waset.org/search?q=labeling%20complexity." title=" labeling complexity."> labeling complexity.</a> </p> <a href="https://publications.waset.org/9569/efficient-boosting-based-active-learning-for-specific-object-detection-problems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/9569/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/9569/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/9569/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/9569/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/9569/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/9569/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/9569/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/9569/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/9569/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/9569/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/9569.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">1784</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">788</span> Energy Efficiency of Adaptive-Rate Medium Access Control Protocols for Sensor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Rooholah%20Hasanizadeh">Rooholah Hasanizadeh</a>, <a href="https://publications.waset.org/search?q=Saadan%20Zokaei"> Saadan Zokaei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Energy efficient protocol design is the aim of current researches in the area of sensor networks where limited power resources impose energy conservation considerations. In this paper we care for Medium Access Control (MAC) protocols and after an extensive literature review, two adaptive schemes are discussed. Of them, adaptive-rate MACs which were introduced for throughput enhancement show the potency to save energy, even more than adaptive-power schemes. Then we propose an allocation algorithm for getting accurate and reliable results. Through a simulation study we validated our claim and showed the power saving of adaptive-rate protocols. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Adaptive-rate" title="Adaptive-rate">Adaptive-rate</a>, <a href="https://publications.waset.org/search?q=adaptive-power" title=" adaptive-power"> adaptive-power</a>, <a href="https://publications.waset.org/search?q=MAC%20protocol" title=" MAC protocol"> MAC protocol</a>, <a href="https://publications.waset.org/search?q=energy%20efficiency" title=" energy efficiency"> energy efficiency</a>, <a href="https://publications.waset.org/search?q=sensor%20networks." title=" sensor networks."> sensor networks.</a> </p> <a href="https://publications.waset.org/380/energy-efficiency-of-adaptive-rate-medium-access-control-protocols-for-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/380/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/380/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/380/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/380/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/380/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/380/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/380/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/380/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/380/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/380/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/380.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">1954</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">787</span> Time-Derivative Estimation of Noisy Movie Data using Adaptive Control Theory</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Soon-Hyun%20Park">Soon-Hyun Park</a>, <a href="https://publications.waset.org/search?q=Takami%20Matsuo"> Takami Matsuo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an adaptive differentiator of sequential data based on the adaptive control theory. The algorithm is applied to detect moving objects by estimating a temporal gradient of sequential data at a specified pixel. We adopt two nonlinear intensity functions to reduce the influence of noises. The derivatives of the nonlinear intensity functions are estimated by an adaptive observer with 蟽-modification update law. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Adaptive%20estimation" title="Adaptive estimation">Adaptive estimation</a>, <a href="https://publications.waset.org/search?q=parameter%20adjustmentlaw" title=" parameter adjustmentlaw"> parameter adjustmentlaw</a>, <a href="https://publications.waset.org/search?q=motion%20detection" title=" motion detection"> motion detection</a>, <a href="https://publications.waset.org/search?q=temporal%20gradient" title=" temporal gradient"> temporal gradient</a>, <a href="https://publications.waset.org/search?q=differential%20filter." title=" differential filter."> differential filter.</a> </p> <a href="https://publications.waset.org/10414/time-derivative-estimation-of-noisy-movie-data-using-adaptive-control-theory" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10414/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10414/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10414/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10414/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10414/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10414/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10414/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10414/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10414/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10414/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10414.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">1873</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">786</span> Information Modelling for Adaptive Composition in Collaborative Work Environment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Sang%20Keun%20Rhee">Sang Keun Rhee</a>, <a href="https://publications.waset.org/search?q=Hyojeong%20Jin"> Hyojeong Jin</a>, <a href="https://publications.waset.org/search?q=Jihye%20Lee"> Jihye Lee</a>, <a href="https://publications.waset.org/search?q=Misoo%20Kwon"> Misoo Kwon</a>, <a href="https://publications.waset.org/search?q=Myon-Woong%20Park"> Myon-Woong Park</a>, <a href="https://publications.waset.org/search?q=Sungdo%20Ha"> Sungdo Ha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Extensive information is required within a R&D environment, and a considerable amount of time and efforts are being spent on finding the necessary information. An adaptive information providing system would be beneficial to the environment, and a conceptual model of the resources, people and context is mandatory for developing such applications. In this paper, an information model on various contexts and resources is proposed which provides the possibility of effective applications for use in adaptive information systems within a R&D project and meeting environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Adaptive%20Hypermedia" title="Adaptive Hypermedia">Adaptive Hypermedia</a>, <a href="https://publications.waset.org/search?q=Adaptive%20System" title=" Adaptive System"> Adaptive System</a>, <a href="https://publications.waset.org/search?q=ContextAwareness" title=" ContextAwareness"> ContextAwareness</a>, <a href="https://publications.waset.org/search?q=Information%20Model" title=" Information Model"> Information Model</a>, <a href="https://publications.waset.org/search?q=Information%20System" title=" Information System"> Information System</a>, <a href="https://publications.waset.org/search?q=Personalisation." title=" Personalisation."> Personalisation.</a> </p> <a href="https://publications.waset.org/9273/information-modelling-for-adaptive-composition-in-collaborative-work-environment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/9273/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/9273/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/9273/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/9273/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/9273/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/9273/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/9273/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/9273/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/9273/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/9273/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/9273.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">1493</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">785</span> Model Reference Adaptive Control and LQR Control for Quadrotor with Parametric Uncertainties</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Alia%20Abdul%20Ghaffar">Alia Abdul Ghaffar</a>, <a href="https://publications.waset.org/search?q=Tom%20Richardson"> Tom Richardson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>A model reference adaptive control and a fixed gain LQR control were implemented in the height controller of a quadrotor that has parametric uncertainties due to the act of picking up an object of unknown dimension and mass. It is shown that an adaptive controller, unlike the fixed gain controller, is capable of ensuring a stable tracking performance under such condition, although adaptive control suffers from several limitations. The combination of both adaptive and fixed gain control in the controller architecture can result in an enhanced tracking performance in the presence parametric uncertainties.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=UAV" title="UAV">UAV</a>, <a href="https://publications.waset.org/search?q=quadrotor" title=" quadrotor"> quadrotor</a>, <a href="https://publications.waset.org/search?q=model%20reference%20adaptive%20control" title=" model reference adaptive control"> model reference adaptive control</a>, <a href="https://publications.waset.org/search?q=LQR%20control." title=" LQR control."> LQR control.</a> </p> <a href="https://publications.waset.org/10000466/model-reference-adaptive-control-and-lqr-control-for-quadrotor-with-parametric-uncertainties" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10000466/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10000466/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10000466/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10000466/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10000466/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10000466/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10000466/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10000466/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10000466/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10000466/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10000466.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">5561</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">784</span> Inverter Based Gain-Boosting Fully Differential CMOS Amplifier</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Alpana%20Agarwal">Alpana Agarwal</a>, <a href="https://publications.waset.org/search?q=Akhil%20Sharma"> Akhil Sharma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>This work presents a fully differential CMOS amplifier consisting of two self-biased gain boosted inverter stages, that provides an alternative to the power hungry operational amplifier. The self-biasing avoids the use of external biasing circuitry, thus reduces the die area, design efforts, and power consumption. In the present work, regulated cascode technique has been employed for gain boosting. The Miller compensation is also applied to enhance the phase margin. The circuit has been designed and simulated in 1.8 V 0.18 µm CMOS technology. The simulation results show a high DC gain of 100.7 dB, Unity-Gain Bandwidth of 107.8 MHz, and Phase Margin of 66.7<sup>o</sup> with a power dissipation of 286 μW and makes it suitable candidate for the high resolution pipelined ADCs.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=CMOS%20amplifier" title="CMOS amplifier">CMOS amplifier</a>, <a href="https://publications.waset.org/search?q=gain%20boosting" title=" gain boosting"> gain boosting</a>, <a href="https://publications.waset.org/search?q=inverter-based%20amplifier" title=" inverter-based amplifier"> inverter-based amplifier</a>, <a href="https://publications.waset.org/search?q=self-biased%20inverter." title=" self-biased inverter."> self-biased inverter.</a> </p> <a href="https://publications.waset.org/10006203/inverter-based-gain-boosting-fully-differential-cmos-amplifier" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10006203/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10006203/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10006203/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10006203/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10006203/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10006203/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10006203/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10006203/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10006203/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10006203/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10006203.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">2616</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">783</span> Application of Adaptive Genetic Algorithm in Function Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Panpan%20Xu">Panpan Xu</a>, <a href="https://publications.waset.org/search?q=Shulin%20Sui"> Shulin Sui</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>The crossover probability and mutation probability are the two important factors in genetic algorithm. The adaptive genetic algorithm can improve the convergence performance of genetic algorithm, in which the crossover probability and mutation probability are adaptively designed with the changes of fitness value. We apply adaptive genetic algorithm into a function optimization problem. The numerical experiment represents that adaptive genetic algorithm improves the convergence speed and avoids local convergence.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Genetic%20algorithm" title="Genetic algorithm">Genetic algorithm</a>, <a href="https://publications.waset.org/search?q=Adaptive%20genetic%20algorithm" title=" Adaptive genetic algorithm"> Adaptive genetic algorithm</a>, <a href="https://publications.waset.org/search?q=Function%20optimization." title=" Function optimization."> Function optimization.</a> </p> <a href="https://publications.waset.org/10003327/application-of-adaptive-genetic-algorithm-in-function-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10003327/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10003327/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10003327/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10003327/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10003327/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10003327/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10003327/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10003327/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10003327/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10003327/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10003327.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">1724</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">782</span> Stereotype Student Model for an Adaptive e-Learning System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Ani%20Grubi%C5%A1i%C4%87">Ani Grubi拧i膰</a>, <a href="https://publications.waset.org/search?q=Slavomir%20Stankov"> Slavomir Stankov</a>, <a href="https://publications.waset.org/search?q=Branko%20%C5%BDitko"> Branko 沤itko</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper describes a concept of stereotype student model in adaptive knowledge acquisition e-learning system. Defined knowledge stereotypes are based on student's proficiency level and on Bloom's knowledge taxonomy. The teacher module is responsible for the whole adaptivity process: the automatic generation of courseware elements, their dynamic selection and sorting, as well as their adaptive presentation using templates for statements and questions. The adaptation of courseware is realized according to student-s knowledge stereotype. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Adaptive%20e-learning%20systems" title="Adaptive e-learning systems">Adaptive e-learning systems</a>, <a href="https://publications.waset.org/search?q=adaptive%20courseware" title=" adaptive courseware"> adaptive courseware</a>, <a href="https://publications.waset.org/search?q=stereotypes" title=" stereotypes"> stereotypes</a>, <a href="https://publications.waset.org/search?q=Bloom%27s%20knowledge%20taxonomy." title=" Bloom's knowledge taxonomy."> Bloom's knowledge taxonomy.</a> </p> <a href="https://publications.waset.org/13596/stereotype-student-model-for-an-adaptive-e-learning-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/13596/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/13596/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/13596/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/13596/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/13596/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/13596/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/13596/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/13596/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/13596/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/13596/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/13596.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">2900</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">781</span> Helicopter Adaptive Control with Parameter Estimation Based on Feedback Linearization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=A.%20R.%20Nemati">A. R. Nemati</a>, <a href="https://publications.waset.org/search?q=M.%20Haddad%20Zarif"> M. Haddad Zarif</a>, <a href="https://publications.waset.org/search?q=M.%20M.%20Fateh"> M. M. Fateh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>This paper presents an adaptive feedback linearization approach to derive helicopter. Ideal feedback linearization is defined for the cases when the system model is known. Adaptive feedback linearization is employed to get asymptotically exact cancellation for the inherent uncertainty in the knowledge of the given parameters of system. The control algorithm is implemented using the feedback linearization technique and adaptive method. The controller parameters are unknown where an adaptive control law aims to drive them towards their ideal values for providing perfect model matching between the reference model and the closed-loop plant model. The converged parameters of controller would then provide good estimates for the unknown plant parameters.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Adaptive%20control" title="Adaptive control">Adaptive control</a>, <a href="https://publications.waset.org/search?q=helicopter" title=" helicopter"> helicopter</a>, <a href="https://publications.waset.org/search?q=feedback%20linearization" title=" feedback linearization"> feedback linearization</a>, <a href="https://publications.waset.org/search?q=nonlinear%20control." title=" nonlinear control."> nonlinear control.</a> </p> <a href="https://publications.waset.org/9009/helicopter-adaptive-control-with-parameter-estimation-based-on-feedback-linearization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/9009/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/9009/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/9009/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/9009/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/9009/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/9009/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/9009/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/9009/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/9009/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/9009/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/9009.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">2382</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">780</span> Performance Comparisons between PID and Adaptive PID Controllers for Travel Angle Control of a Bench-Top Helicopter</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=H.%20Mansor">H. Mansor</a>, <a href="https://publications.waset.org/search?q=S.%20B.%20Mohd-Noor"> S. B. Mohd-Noor</a>, <a href="https://publications.waset.org/search?q=T.%20S.%20Gunawan"> T. S. Gunawan</a>, <a href="https://publications.waset.org/search?q=S.%20Khan"> S. Khan</a>, <a href="https://publications.waset.org/search?q=N.%20I.%20Othman"> N. I. Othman</a>, <a href="https://publications.waset.org/search?q=N.%20Tazali"> N. Tazali</a>, <a href="https://publications.waset.org/search?q=R.%20B.%20Islam"> R. B. Islam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>This paper provides a comparative study on the performances of standard PID and adaptive PID controllers tested on travel angle of a 3-Degree-of-Freedom (3-DOF) Quanser bench-top helicopter. Quanser, a well-known manufacturer of educational bench-top helicopter has developed Proportional Integration Derivative (PID) controller with Linear Quadratic Regulator (LQR) for all travel, pitch and yaw angle of the bench-top helicopter. The performance of the PID controller is relatively good; however, its performance could also be improved if the controller is combined with adaptive element. The objective of this research is to design adaptive PID controller and then compare the performances of the adaptive PID with the standard PID. The controller design and test is focused on travel angle control only. Adaptive method used in this project is self-tuning controller, which controller’s parameters are updated online. Two adaptive algorithms those are pole-placement and deadbeat have been chosen as the method to achieve optimal controller’s parameters. Performance comparisons have shown that the adaptive (deadbeat) PID controller has produced more desirable performance compared to standard PID and adaptive (poleplacement). The adaptive (deadbeat) PID controller attained very fast settling time (5 seconds) and very small percentage of overshoot (5% to 7.5%) for 10° to 30° step change of travel angle.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Adaptive%20control" title="Adaptive control">Adaptive control</a>, <a href="https://publications.waset.org/search?q=bench-top%20helicopter" title=" bench-top helicopter"> bench-top helicopter</a>, <a href="https://publications.waset.org/search?q=deadbeat" title=" deadbeat"> deadbeat</a>, <a href="https://publications.waset.org/search?q=pole-placement" title=" pole-placement"> pole-placement</a>, <a href="https://publications.waset.org/search?q=self-tuning%20control." title=" self-tuning control."> self-tuning control.</a> </p> <a href="https://publications.waset.org/10000274/performance-comparisons-between-pid-and-adaptive-pid-controllers-for-travel-angle-control-of-a-bench-top-helicopter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10000274/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10000274/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10000274/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10000274/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10000274/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10000274/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10000274/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10000274/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10000274/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10000274/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10000274.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">3312</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">779</span> Change Detection and Non Stationary Signals Tracking by Adaptive Filtering</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Mounira%20Roua%C3%90%C3%B9nia">Mounira Roua脨霉nia</a>, <a href="https://publications.waset.org/search?q=Noureddine%20Doghmane"> Noureddine Doghmane</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper we consider the problem of change detection and non stationary signals tracking. Using parametric estimation of signals based on least square lattice adaptive filters we consider for change detection statistical parametric methods using likelihood ratio and hypothesis tests. In order to track signals dynamics, we introduce a compensation procedure in the adaptive estimation. This will improve the adaptive estimation performances and fasten it-s convergence after changes detection. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Change%20detection" title="Change detection">Change detection</a>, <a href="https://publications.waset.org/search?q=Hypothesis%20test" title=" Hypothesis test"> Hypothesis test</a>, <a href="https://publications.waset.org/search?q=likelihood%20ratioleast%20square%20lattice%20adaptive%20filters." title=" likelihood ratioleast square lattice adaptive filters."> likelihood ratioleast square lattice adaptive filters.</a> </p> <a href="https://publications.waset.org/4227/change-detection-and-non-stationary-signals-tracking-by-adaptive-filtering" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/4227/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/4227/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/4227/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/4227/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/4227/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/4227/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/4227/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/4227/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/4227/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/4227/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/4227.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">1634</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">778</span> Machine Learning for Aiding Meningitis Diagnosis in Pediatric Patients</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Karina%20Zaccari">Karina Zaccari</a>, <a href="https://publications.waset.org/search?q=Ernesto%20Cordeiro%20Marujo"> Ernesto Cordeiro Marujo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>This paper presents a Machine Learning (ML) approach to support Meningitis diagnosis in patients at a children’s hospital in Sao Paulo, Brazil. The aim is to use ML techniques to reduce the use of invasive procedures, such as cerebrospinal fluid (CSF) collection, as much as possible. In this study, we focus on predicting the probability of Meningitis given the results of a blood and urine laboratory tests, together with the analysis of pain or other complaints from the patient. We tested a number of different ML algorithms, including: Adaptative Boosting (AdaBoost), Decision Tree, Gradient Boosting, K-Nearest Neighbors (KNN), Logistic Regression, Random Forest and Support Vector Machines (SVM). Decision Tree algorithm performed best, with 94.56% and 96.18% accuracy for training and testing data, respectively. These results represent a significant aid to doctors in diagnosing Meningitis as early as possible and in preventing expensive and painful procedures on some children.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Machine%20learning" title="Machine learning">Machine learning</a>, <a href="https://publications.waset.org/search?q=medical%20diagnosis" title=" medical diagnosis"> medical diagnosis</a>, <a href="https://publications.waset.org/search?q=meningitis%20detection" title=" meningitis detection"> meningitis detection</a>, <a href="https://publications.waset.org/search?q=gradient%20boosting." title=" gradient boosting."> gradient boosting.</a> </p> <a href="https://publications.waset.org/10010776/machine-learning-for-aiding-meningitis-diagnosis-in-pediatric-patients" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10010776/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10010776/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10010776/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10010776/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10010776/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10010776/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10010776/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10010776/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10010776/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10010776/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10010776.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">1110</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">777</span> Border Limited Adaptive Subdivision Based On Triangle Meshes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Pichayut%20Peerasathien">Pichayut Peerasathien</a>, <a href="https://publications.waset.org/search?q=Hiroshi%20Nagahashi"> Hiroshi Nagahashi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Subdivision is a method to create a smooth surface from a coarse mesh by subdividing the entire mesh. The conventional ways to compute and render surfaces are inconvenient both in terms of memory and computational time as the number of meshes will increase exponentially. An adaptive subdivision is the way to reduce the computational time and memory by subdividing only certain selected areas. In this paper, a new adaptive subdivision method for triangle meshes is introduced. This method defines a new adaptive subdivision rules by considering the properties of each triangle's neighbors and is embedded in a traditional Loop's subdivision. It prevents some undesirable side effects that appear in the conventional adaptive ways. Models that were subdivided by our method are compared with other adaptive subdivision methods</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Subdivision" title="Subdivision">Subdivision</a>, <a href="https://publications.waset.org/search?q=loop%20subdivision" title=" loop subdivision"> loop subdivision</a>, <a href="https://publications.waset.org/search?q=handle%20cracks" title=" handle cracks"> handle cracks</a>, <a href="https://publications.waset.org/search?q=smooth%0D%0Asurface." title=" smooth surface."> smooth surface.</a> </p> <a href="https://publications.waset.org/78/border-limited-adaptive-subdivision-based-on-triangle-meshes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/78/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/78/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/78/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/78/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/78/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/78/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/78/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/78/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/78/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/78/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/78.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">1652</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">776</span> Mean-Square Performance of Adaptive Filter Algorithms in Nonstationary Environments</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Mohammad%20Shams%20Esfand%20Abadi">Mohammad Shams Esfand Abadi</a>, <a href="https://publications.waset.org/search?q=John%20Hakon%20Hus%C3%B8y"> John Hakon Hus酶y</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Employing a recently introduced unified adaptive filter theory, we show how the performance of a large number of important adaptive filter algorithms can be predicted within a general framework in nonstationary environment. This approach is based on energy conservation arguments and does not need to assume a Gaussian or white distribution for the regressors. This general performance analysis can be used to evaluate the mean square performance of the Least Mean Square (LMS) algorithm, its normalized version (NLMS), the family of Affine Projection Algorithms (APA), the Recursive Least Squares (RLS), the Data-Reusing LMS (DR-LMS), its normalized version (NDR-LMS), the Block Least Mean Squares (BLMS), the Block Normalized LMS (BNLMS), the Transform Domain Adaptive Filters (TDAF) and the Subband Adaptive Filters (SAF) in nonstationary environment. Also, we establish the general expressions for the steady-state excess mean square in this environment for all these adaptive algorithms. Finally, we demonstrate through simulations that these results are useful in predicting the adaptive filter performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Adaptive%20filter" title="Adaptive filter">Adaptive filter</a>, <a href="https://publications.waset.org/search?q=general%20framework" title=" general framework"> general framework</a>, <a href="https://publications.waset.org/search?q=energy%20conservation" title=" energy conservation"> energy conservation</a>, <a href="https://publications.waset.org/search?q=mean-square%20performance" title=" mean-square performance"> mean-square performance</a>, <a href="https://publications.waset.org/search?q=nonstationary%20environment." title=" nonstationary environment."> nonstationary environment.</a> </p> <a href="https://publications.waset.org/9212/mean-square-performance-of-adaptive-filter-algorithms-in-nonstationary-environments" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/9212/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/9212/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/9212/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/9212/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/9212/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/9212/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/9212/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/9212/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/9212/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/9212/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/9212.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">2187</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">775</span> Cognitive Emotion Regulation in Children Is Attributable to Parenting Style, Not to Family Type and Child鈥檚 Gender</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=AKM%20Rezaul%20Karim">AKM Rezaul Karim</a>, <a href="https://publications.waset.org/search?q=Tania%20Sharafat"> Tania Sharafat</a>, <a href="https://publications.waset.org/search?q=Abu%20Yusuf%20Mahmud"> Abu Yusuf Mahmud</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>The study aimed to investigate whether cognitive emotion regulation in children varies with parenting style, family type and gender. Toward this end, cognitive emotion regulation and perceived parenting style of 206 school children were measured. Standard regression analyses of data revealed that the models were significant and explained 17.3% of the variance in <em>adaptive</em> emotion regulation (Adjusted <em>R²</em>=0.173; <em>F</em>=9.579, <em>p</em><.001), and 7.1% of the variance in <em>less adaptive</em> emotion regulation (Adjusted <em>R²</em>=.071, <em>F</em>=4.135, <em>p</em>=.001). Results showed that children’s cognitive emotion regulation is functionally associated with parenting style, but not with family type and their gender. Amongst three types of parenting, authoritative parenting was the strongest predictor of the overall <em>adaptive</em> emotion regulation while authoritarian parenting was the strongest predictor of the overall <em>less adaptive</em> emotion regulation. Permissive parenting has impact neither on <em>adaptive</em> nor on <em>less adaptive</em> emotion regulation. The findings would have important implications for parents, caregivers, child psychologists, and other professionals working with children or adolescents.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Cognitive%20Emotion%20Regulation" title="Cognitive Emotion Regulation">Cognitive Emotion Regulation</a>, <a href="https://publications.waset.org/search?q=Adaptive" title=" Adaptive"> Adaptive</a>, <a href="https://publications.waset.org/search?q=Less%20Adaptive" title=" Less Adaptive"> Less Adaptive</a>, <a href="https://publications.waset.org/search?q=Parenting%20Style" title=" Parenting Style"> Parenting Style</a>, <a href="https://publications.waset.org/search?q=Family%20Type." title=" Family Type."> Family Type.</a> </p> <a href="https://publications.waset.org/9996937/cognitive-emotion-regulation-in-children-is-attributable-to-parenting-style-not-to-family-type-and-childs-gender" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/9996937/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/9996937/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/9996937/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/9996937/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/9996937/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/9996937/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/9996937/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/9996937/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/9996937/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/9996937/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/9996937.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">3701</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">774</span> Boosting Method for Automated Feature Space Discovery in Supervised Quantum Machine Learning Models</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Vladimir%20Rastunkov">Vladimir Rastunkov</a>, <a href="https://publications.waset.org/search?q=Jae-Eun%20Park"> Jae-Eun Park</a>, <a href="https://publications.waset.org/search?q=Abhijit%20Mitra"> Abhijit Mitra</a>, <a href="https://publications.waset.org/search?q=Brian%20Quanz"> Brian Quanz</a>, <a href="https://publications.waset.org/search?q=Steve%20Wood"> Steve Wood</a>, <a href="https://publications.waset.org/search?q=Christopher%20Codella"> Christopher Codella</a>, <a href="https://publications.waset.org/search?q=Heather%20Higgins"> Heather Higgins</a>, <a href="https://publications.waset.org/search?q=Joseph%20Broz"> Joseph Broz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Quantum Support Vector Machines (QSVM) have become an important tool in research and applications of quantum kernel methods. In this work we propose a boosting approach for building ensembles of QSVM models and assess performance improvement across multiple datasets. This approach is derived from the best ensemble building practices that worked well in traditional machine learning and thus should push the limits of quantum model performance even further. We find that in some cases, a single QSVM model with tuned hyperparameters is sufficient to simulate the data, while in others - an ensemble of QSVMs that are forced to do exploration of the feature space via proposed method is beneficial. </p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=QSVM" title="QSVM">QSVM</a>, <a href="https://publications.waset.org/search?q=Quantum%20Support%20Vector%20Machines" title=" Quantum Support Vector Machines"> Quantum Support Vector Machines</a>, <a href="https://publications.waset.org/search?q=quantum%0D%0Akernel" title=" quantum kernel"> quantum kernel</a>, <a href="https://publications.waset.org/search?q=boosting" title=" boosting"> boosting</a>, <a href="https://publications.waset.org/search?q=ensemble." title=" ensemble."> ensemble.</a> </p> <a href="https://publications.waset.org/10012686/boosting-method-for-automated-feature-space-discovery-in-supervised-quantum-machine-learning-models" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10012686/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10012686/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10012686/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10012686/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10012686/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10012686/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10012686/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10012686/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10012686/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10012686/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10012686.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">439</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">773</span> Texture Characterization Based on a Chandrasekhar Fast Adaptive Filter</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Mounir%20Sayadi">Mounir Sayadi</a>, <a href="https://publications.waset.org/search?q=Farhat%20Fnaiech"> Farhat Fnaiech</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>In the framework of adaptive parametric modelling of images, we propose in this paper a new technique based on the Chandrasekhar fast adaptive filter for texture characterization. An Auto-Regressive (AR) linear model of texture is obtained by scanning the image row by row and modelling this data with an adaptive Chandrasekhar linear filter. The characterization efficiency of the obtained model is compared with the model adapted with the Least Mean Square (LMS) 2-D adaptive algorithm and with the cooccurrence method features. The comparison criteria is based on the computation of a characterization degree using the ratio of "betweenclass" variances with respect to "within-class" variances of the estimated coefficients. Extensive experiments show that the coefficients estimated by the use of Chandrasekhar adaptive filter give better results in texture discrimination than those estimated by other algorithms, even in a noisy context.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Texture%20analysis" title="Texture analysis">Texture analysis</a>, <a href="https://publications.waset.org/search?q=statistical%20features" title=" statistical features"> statistical features</a>, <a href="https://publications.waset.org/search?q=adaptive%20filters" title=" adaptive filters"> adaptive filters</a>, <a href="https://publications.waset.org/search?q=Chandrasekhar%20algorithm." title=" Chandrasekhar algorithm."> Chandrasekhar algorithm.</a> </p> <a href="https://publications.waset.org/12719/texture-characterization-based-on-a-chandrasekhar-fast-adaptive-filter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/12719/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/12719/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/12719/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/12719/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/12719/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/12719/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/12719/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/12719/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/12719/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/12719/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/12719.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">1615</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">772</span> Robust Adaptive Vibration Control with Application to a Robot Beam</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=J.%20Fei">J. Fei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents the adaptive control scheme with sliding mode compensator for vibration control problem in the presence of disturbance. The dynamic model of the flexible cantilever beam using finite element modeling is derived. The adaptive control with sliding mode compensator using output feedback for output tracking is developed to reject the external disturbance, and to improve the tracking performance. Satisfactory simulation results verify that the effectiveness of adaptive control scheme with sliding mode compensator. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=finite%20element%20model" title="finite element model">finite element model</a>, <a href="https://publications.waset.org/search?q=adaptive%20control" title=" adaptive control"> adaptive control</a>, <a href="https://publications.waset.org/search?q=sliding%20modecontrol" title=" sliding modecontrol"> sliding modecontrol</a>, <a href="https://publications.waset.org/search?q=vibration%20suppression" title=" vibration suppression"> vibration suppression</a> </p> <a href="https://publications.waset.org/6777/robust-adaptive-vibration-control-with-application-to-a-robot-beam" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/6777/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/6777/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/6777/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/6777/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/6777/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/6777/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/6777/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/6777/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/6777/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/6777/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/6777.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">1432</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">771</span> Impulsive Noise-Resilient Subband Adaptive Filter</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Young-Seok%20Choi">Young-Seok Choi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We present a new subband adaptive filter (R-SAF) which is robust against impulsive noise in system identification. To address the vulnerability of adaptive filters based on the L2-norm optimization criterion against impulsive noise, the R-SAF comes from the L1-norm optimization criterion with a constraint on the energy of the weight update. Minimizing L1-norm of the a posteriori error in each subband with a constraint on minimum disturbance gives rise to the robustness against the impulsive noise and the capable convergence performance. Experimental results clearly demonstrate that the proposed R-SAF outperforms the classical adaptive filtering algorithms when impulsive noise as well as background noise exist. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Subband%20adaptive%20filter" title="Subband adaptive filter">Subband adaptive filter</a>, <a href="https://publications.waset.org/search?q=L1-norm" title=" L1-norm"> L1-norm</a>, <a href="https://publications.waset.org/search?q=system%0D%0Aidentification" title=" system identification"> system identification</a>, <a href="https://publications.waset.org/search?q=robustness" title=" robustness"> robustness</a>, <a href="https://publications.waset.org/search?q=impulsive%20interference." title=" impulsive interference."> impulsive interference.</a> </p> <a href="https://publications.waset.org/10003610/impulsive-noise-resilient-subband-adaptive-filter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10003610/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10003610/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10003610/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10003610/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10003610/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10003610/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10003610/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10003610/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10003610/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10003610/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10003610.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">1470</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">770</span> Adaptive Thermal Comfort Model for Air-Conditioned Lecture Halls in Malaysia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=B.%20T.%20Chew">B. T. Chew</a>, <a href="https://publications.waset.org/search?q=S.%20N.%20Kazi"> S. N. Kazi</a>, <a href="https://publications.waset.org/search?q=A.%20Amiri"> A. Amiri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>This paper presents an adaptive thermal comfort model study in the tropical country of Malaysia. A number of researchers have been interested in applying the adaptive thermal comfort model to different climates throughout the world, but so far no study has been performed in Malaysia. For the use as a thermal comfort model, which better applies to hot and humid climates, the adaptive thermal comfort model was developed as part of this research by using the collected results from a large field study in six lecture halls with 178 students. The relationship between the operative temperature and behavioral adaptations was determined. In the developed adaptive model, the acceptable indoor neutral temperatures lay within the range of 23.9-26.0C, with outdoor temperatures ranging between 27.0-34.6C. The most comfortable temperature for students in lecture hall was 25.7C.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Hot%20and%20humid" title="Hot and humid">Hot and humid</a>, <a href="https://publications.waset.org/search?q=Lecture%20halls" title=" Lecture halls"> Lecture halls</a>, <a href="https://publications.waset.org/search?q=Neutral%20temperature" title=" Neutral temperature"> Neutral temperature</a>, <a href="https://publications.waset.org/search?q=Adaptive%20thermal%20comfort%20model." title=" Adaptive thermal comfort model."> Adaptive thermal comfort model.</a> </p> <a href="https://publications.waset.org/10000596/adaptive-thermal-comfort-model-for-air-conditioned-lecture-halls-in-malaysia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10000596/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10000596/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10000596/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10000596/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10000596/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10000596/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10000596/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10000596/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10000596/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10000596/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10000596.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">2811</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">769</span> Designing Intelligent Adaptive Controller for Nonlinear Pendulum Dynamical System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=R.%20Ghasemi">R. Ghasemi</a>, <a href="https://publications.waset.org/search?q=M.%20R.%20Rahimi%20Khoygani"> M. R. Rahimi Khoygani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>This paper proposes the designing direct adaptive neural controller to apply for a class of a nonlinear pendulum dynamic system. The radial basis function (RBF) neural adaptive controller is robust in presence of external and internal uncertainties. Both the effectiveness of the controller and robustness against disturbances are importance of this paper. The simulation results show the promising performance of the proposed controller.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Adaptive%20Neural%20Controller" title="Adaptive Neural Controller">Adaptive Neural Controller</a>, <a href="https://publications.waset.org/search?q=Nonlinear%20Dynamical" title=" Nonlinear Dynamical"> Nonlinear Dynamical</a>, <a href="https://publications.waset.org/search?q=Neural%20Network" title=" Neural Network"> Neural Network</a>, <a href="https://publications.waset.org/search?q=RBF" title=" RBF"> RBF</a>, <a href="https://publications.waset.org/search?q=Driven%20Pendulum" title=" Driven Pendulum"> Driven Pendulum</a>, <a href="https://publications.waset.org/search?q=Position%20Control." title=" Position Control."> Position Control.</a> </p> <a href="https://publications.waset.org/10000039/designing-intelligent-adaptive-controller-for-nonlinear-pendulum-dynamical-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10000039/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10000039/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10000039/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10000039/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10000039/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10000039/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10000039/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10000039/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10000039/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10000039/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10000039.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">2592</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">768</span> Design of Adaptive Sliding Mode Controller for Robotic Manipulators Tracking Control</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=T.%20C.%20Kuo">T. C. Kuo</a>, <a href="https://publications.waset.org/search?q=Y.%20J.%20Huang"> Y. J. Huang</a>, <a href="https://publications.waset.org/search?q=B.%20W.%20Hong"> B. W. Hong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes an adaptive sliding mode controller which combines adaptive control and sliding mode control to control a nonlinear robotic manipulator with uncertain parameters. We use an adaptive algorithm based on the concept of sliding mode control to alleviate the chattering phenomenon of control input. Adaptive laws are developed to obtain the gain of switching input and the boundary layer parameters. The stability and convergence of the robotic manipulator control system are guaranteed by applying the Lyapunov theorem. Simulation results demonstrate that the chattering of control input can be alleviated effectively. The proposed controller scheme can assure robustness against a large class of uncertainties and achieve good trajectory tracking performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Robotic%20manipulators" title="Robotic manipulators">Robotic manipulators</a>, <a href="https://publications.waset.org/search?q=sliding%20mode%20control" title=" sliding mode control"> sliding mode control</a>, <a href="https://publications.waset.org/search?q=adaptive%20law" title=" adaptive law"> adaptive law</a>, <a href="https://publications.waset.org/search?q=Lyapunov%20theorem" title=" Lyapunov theorem"> Lyapunov theorem</a>, <a href="https://publications.waset.org/search?q=robustness." title=" robustness."> robustness.</a> </p> <a href="https://publications.waset.org/15705/design-of-adaptive-sliding-mode-controller-for-robotic-manipulators-tracking-control" class="btn btn-primary btn-sm">Procedia</a> <a 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