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detection</title> <meta name="description" content="Search results for: adaptive detection"> <meta name="keywords" content="adaptive detection"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="adaptive detection"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 4410</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: adaptive detection</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4410</span> Adaptive CFAR Analysis for Non-Gaussian Distribution</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bouchemha%20Amel">Bouchemha Amel</a>, <a href="https://publications.waset.org/abstracts/search?q=Chachoui%20Takieddine"> Chachoui Takieddine</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Maalem"> H. Maalem</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Automatic detection of targets in a modern communication system RADAR is based primarily on the concept of adaptive CFAR detector. To have an effective detection, we must minimize the influence of disturbances due to the clutter. The detection algorithm adapts the CFAR detection threshold which is proportional to the average power of the clutter, maintaining a constant probability of false alarm. In this article, we analyze the performance of two variants of adaptive algorithms CA-CFAR and OS-CFAR and we compare the thresholds of these detectors in the marine environment (no-Gaussian) with a Weibull distribution. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CFAR" title="CFAR">CFAR</a>, <a href="https://publications.waset.org/abstracts/search?q=threshold" title=" threshold"> threshold</a>, <a href="https://publications.waset.org/abstracts/search?q=clutter" title=" clutter"> clutter</a>, <a href="https://publications.waset.org/abstracts/search?q=distribution" title=" distribution"> distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=Weibull" title=" Weibull"> Weibull</a>, <a href="https://publications.waset.org/abstracts/search?q=detection" title=" detection"> detection</a> </p> <a href="https://publications.waset.org/abstracts/21359/adaptive-cfar-analysis-for-non-gaussian-distribution" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21359.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">588</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4409</span> Adaptive Nonparametric Approach for Guaranteed Real-Time Detection of Targeted Signals in Multichannel Monitoring Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andrey%20V.%20Timofeev">Andrey V. Timofeev</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An adaptive nonparametric method is proposed for stable real-time detection of seismoacoustic sources in multichannel C-OTDR systems with a significant number of channels. This method guarantees given upper boundaries for probabilities of Type I and Type II errors. Properties of the proposed method are rigorously proved. The results of practical applications of the proposed method in a real C-OTDR-system are presented in this report. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=guaranteed%20detection" title="guaranteed detection">guaranteed detection</a>, <a href="https://publications.waset.org/abstracts/search?q=multichannel%20monitoring%20systems" title=" multichannel monitoring systems"> multichannel monitoring systems</a>, <a href="https://publications.waset.org/abstracts/search?q=change%20point" title=" change point"> change point</a>, <a href="https://publications.waset.org/abstracts/search?q=interval%20estimation" title=" interval estimation"> interval estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive%20detection" title=" adaptive detection"> adaptive detection</a> </p> <a href="https://publications.waset.org/abstracts/21976/adaptive-nonparametric-approach-for-guaranteed-real-time-detection-of-targeted-signals-in-multichannel-monitoring-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21976.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">447</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4408</span> A Study of Adaptive Fault Detection Method for GNSS Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Je%20Young%20Lee">Je Young Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Hee%20Sung%20Kim"> Hee Sung Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Kwang%20Ho%20Choi"> Kwang Ho Choi</a>, <a href="https://publications.waset.org/abstracts/search?q=Joonhoo%20Lim"> Joonhoo Lim</a>, <a href="https://publications.waset.org/abstracts/search?q=Sebum%20Chun"> Sebum Chun</a>, <a href="https://publications.waset.org/abstracts/search?q=Hyung%20Keun%20Lee"> Hyung Keun Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A purpose of this study is to develop efficient detection method for Global Navigation Satellite Systems (GNSS) applications based on adaptive estimation. Due to dependence of radio frequency signals, GNSS measurements are dominated by systematic errors in receiver’s operating environment. Thus, to utilize GNSS for aerospace or ground vehicles requiring high level of safety, unhealthy measurements should be considered seriously. For the reason, this paper proposes adaptive fault detection method to deal with unhealthy measurements in various harsh environments. By the proposed method, the test statistics for fault detection is generated by estimated measurement noise. Pseudorange and carrier-phase measurement noise are obtained at time propagations and measurement updates in process of Carrier-Smoothed Code (CSC) filtering, respectively. Performance of the proposed method was evaluated by field-collected GNSS measurements. To evaluate the fault detection capability, intentional faults were added to measurements. The experimental result shows that the proposed detection method is efficient in detecting unhealthy measurements and improves the accuracy of GNSS positioning under fault occurrence. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20estimation" title="adaptive estimation">adaptive estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20detection" title=" fault detection"> fault detection</a>, <a href="https://publications.waset.org/abstracts/search?q=GNSS" title=" GNSS"> GNSS</a>, <a href="https://publications.waset.org/abstracts/search?q=residual" title=" residual"> residual</a> </p> <a href="https://publications.waset.org/abstracts/19306/a-study-of-adaptive-fault-detection-method-for-gnss-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19306.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">574</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4407</span> Adaptive Target Detection of High-Range-Resolution Radar in Non-Gaussian Clutter</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lina%20Pan">Lina Pan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In non-Gaussian clutter of a spherically invariant random vector, in the cases that a certain estimated covariance matrix could become singular, the adaptive target detection of high-range-resolution radar is addressed. Firstly, the restricted maximum likelihood (RML) estimates of unknown covariance matrix and scatterer amplitudes are derived for non-Gaussian clutter. And then the RML estimate of texture is obtained. Finally, a novel detector is devised. It is showed that, without secondary data, the proposed detector outperforms the existing Kelly binary integrator. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=non-Gaussian%20clutter" title="non-Gaussian clutter">non-Gaussian clutter</a>, <a href="https://publications.waset.org/abstracts/search?q=covariance%20matrix%20estimation" title=" covariance matrix estimation"> covariance matrix estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=target%20detection" title=" target detection"> target detection</a>, <a href="https://publications.waset.org/abstracts/search?q=maximum%20likelihood" title=" maximum likelihood"> maximum likelihood</a> </p> <a href="https://publications.waset.org/abstracts/24879/adaptive-target-detection-of-high-range-resolution-radar-in-non-gaussian-clutter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24879.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">464</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4406</span> Multi-Vehicle Detection Using Histogram of Oriented Gradients Features and Adaptive Sliding Window Technique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saumya%20Srivastava">Saumya Srivastava</a>, <a href="https://publications.waset.org/abstracts/search?q=Rina%20Maiti"> Rina Maiti</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to achieve a better performance of vehicle detection in a complex environment, we present an efficient approach for a multi-vehicle detection system using an adaptive sliding window technique. For a given frame, image segmentation is carried out to establish the region of interest. Gradient computation followed by thresholding, denoising, and morphological operations is performed to extract the binary search image. Near-region field and far-region field are defined to generate hypotheses using the adaptive sliding window technique on the resultant binary search image. For each vehicle candidate, features are extracted using a histogram of oriented gradients, and a pre-trained support vector machine is applied for hypothesis verification. Later, the Kalman filter is used for tracking the vanishing point. The experimental results show that the method is robust and effective on various roads and driving scenarios. The algorithm was tested on highways and urban roads in India. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gradient" title="gradient">gradient</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicle%20detection" title=" vehicle detection"> vehicle detection</a>, <a href="https://publications.waset.org/abstracts/search?q=histograms%20of%20oriented%20gradients" title=" histograms of oriented gradients"> histograms of oriented gradients</a>, <a href="https://publications.waset.org/abstracts/search?q=support%20vector%20machine" title=" support vector machine"> support vector machine</a> </p> <a href="https://publications.waset.org/abstracts/156497/multi-vehicle-detection-using-histogram-of-oriented-gradients-features-and-adaptive-sliding-window-technique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156497.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">124</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4405</span> Implementation of Edge Detection Based on Autofluorescence Endoscopic Image of Field Programmable Gate Array</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hao%20Cheng">Hao Cheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhiwu%20Wang"> Zhiwu Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Guozheng%20Yan"> Guozheng Yan</a>, <a href="https://publications.waset.org/abstracts/search?q=Pingping%20Jiang"> Pingping Jiang</a>, <a href="https://publications.waset.org/abstracts/search?q=Shijia%20Qin"> Shijia Qin</a>, <a href="https://publications.waset.org/abstracts/search?q=Shuai%20Kuang"> Shuai Kuang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Autofluorescence Imaging (AFI) is a technology for detecting early carcinogenesis of the gastrointestinal tract in recent years. Compared with traditional white light endoscopy (WLE), this technology greatly improves the detection accuracy of early carcinogenesis, because the colors of normal tissues are different from cancerous tissues. Thus, edge detection can distinguish them in grayscale images. In this paper, based on the traditional Sobel edge detection method, optimization has been performed on this method which considers the environment of the gastrointestinal, including adaptive threshold and morphological processing. All of the processes are implemented on our self-designed system based on the image sensor OV6930 and Field Programmable Gate Array (FPGA), The system can capture the gastrointestinal image taken by the lens in real time and detect edges. The final experiments verified the feasibility of our system and the effectiveness and accuracy of the edge detection algorithm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AFI" title="AFI">AFI</a>, <a href="https://publications.waset.org/abstracts/search?q=edge%20detection" title=" edge detection"> edge detection</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive%20threshold" title=" adaptive threshold"> adaptive threshold</a>, <a href="https://publications.waset.org/abstracts/search?q=morphological%20processing" title=" morphological processing"> morphological processing</a>, <a href="https://publications.waset.org/abstracts/search?q=OV6930" title=" OV6930"> OV6930</a>, <a href="https://publications.waset.org/abstracts/search?q=FPGA" title=" FPGA"> FPGA</a> </p> <a href="https://publications.waset.org/abstracts/102685/implementation-of-edge-detection-based-on-autofluorescence-endoscopic-image-of-field-programmable-gate-array" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/102685.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">230</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4404</span> Identifying the Gap between Adaptive Clothing Consumers and Brands</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lucky%20Farha">Lucky Farha</a>, <a href="https://publications.waset.org/abstracts/search?q=Martha%20L.%20Hall"> Martha L. Hall</a> </p> <p class="card-text"><strong>Abstract:</strong></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, the researcher 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 class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20fashion" title="adaptive fashion">adaptive fashion</a>, <a href="https://publications.waset.org/abstracts/search?q=disability" title=" disability"> disability</a>, <a href="https://publications.waset.org/abstracts/search?q=functional%20clothing" title=" functional clothing"> functional clothing</a>, <a href="https://publications.waset.org/abstracts/search?q=clothing%20needs%20assessment" title=" clothing needs assessment"> clothing needs assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=down%20syndrome" title=" down syndrome"> down syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=clothing%20challenge" title=" clothing challenge"> clothing challenge</a> </p> <a href="https://publications.waset.org/abstracts/150986/identifying-the-gap-between-adaptive-clothing-consumers-and-brands" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150986.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">143</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4403</span> RGB Color Based Real Time Traffic Sign Detection and Feature Extraction System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kay%20Thinzar%20Phu">Kay Thinzar Phu</a>, <a href="https://publications.waset.org/abstracts/search?q=Lwin%20Lwin%20Oo"> Lwin Lwin Oo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In an intelligent transport system and advanced driver assistance system, the developing of real-time traffic sign detection and recognition (TSDR) system plays an important part in recent research field. There are many challenges for developing real-time TSDR system due to motion artifacts, variable lighting and weather conditions and situations of traffic signs. Researchers have already proposed various methods to minimize the challenges problem. The aim of the proposed research is to develop an efficient and effective TSDR in real time. This system proposes an adaptive thresholding method based on RGB color for traffic signs detection and new features for traffic signs recognition. In this system, the RGB color thresholding is used to detect the blue and yellow color traffic signs regions. The system performs the shape identify to decide whether the output candidate region is traffic sign or not. Lastly, new features such as termination points, bifurcation points, and 90’ angles are extracted from validated image. This system uses Myanmar Traffic Sign dataset. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20thresholding%20based%20on%20RGB%20color" title="adaptive thresholding based on RGB color">adaptive thresholding based on RGB color</a>, <a href="https://publications.waset.org/abstracts/search?q=blue%20color%20detection" title=" blue color detection"> blue color detection</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20extraction" title=" feature extraction"> feature extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=yellow%20color%20detection" title=" yellow color detection"> yellow color detection</a> </p> <a href="https://publications.waset.org/abstracts/77127/rgb-color-based-real-time-traffic-sign-detection-and-feature-extraction-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77127.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">313</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4402</span> Overview of Adaptive Spline interpolation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rongli%20Gai">Rongli Gai</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhiyuan%20Chang"> Zhiyuan Chang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> At this stage, 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 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 class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20algorithm" title="adaptive algorithm">adaptive algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=CNC%20machining" title=" CNC machining"> CNC machining</a>, <a href="https://publications.waset.org/abstracts/search?q=interpolation%20constraints" title=" interpolation constraints"> interpolation constraints</a>, <a href="https://publications.waset.org/abstracts/search?q=spline%20curve%20interpolation" title=" spline curve interpolation"> spline curve interpolation</a> </p> <a href="https://publications.waset.org/abstracts/147139/overview-of-adaptive-spline-interpolation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147139.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">205</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4401</span> Adaptive Decision Feedback Equalizer Utilizing Fixed-Step Error Signal for Multi-Gbps Serial Links</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alaa%20Abdullah%20Altaee">Alaa Abdullah Altaee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an adaptive decision feedback equalizer (ADFE) for multi-Gbps serial links utilizing a fix-step error signal extracted from cross-points of received data symbols. The extracted signal is generated based on violation of received data symbols with minimum detection requirements at the clock and data recovery (CDR) stage. The iterations of the adaptation process search for the optimum feedback tap coefficients to maximize the data eye-opening and minimize the adaptation convergence time. The effectiveness of the proposed architecture is validated using the simulation results of a serial link designed in an IBM 130 nm 1.2V CMOS technology. The data link with variable channel lengths is analyzed using Spectre from Cadence Design Systems with BSIM4 device models. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20DFE" title="adaptive DFE">adaptive DFE</a>, <a href="https://publications.waset.org/abstracts/search?q=CMOS%20equalizer" title=" CMOS equalizer"> CMOS equalizer</a>, <a href="https://publications.waset.org/abstracts/search?q=error%20detection" title=" error detection"> error detection</a>, <a href="https://publications.waset.org/abstracts/search?q=serial%20links" title=" serial links"> serial links</a>, <a href="https://publications.waset.org/abstracts/search?q=timing%20jitter" title=" timing jitter"> timing jitter</a>, <a href="https://publications.waset.org/abstracts/search?q=wire-line%20communication" title=" wire-line communication"> wire-line communication</a> </p> <a href="https://publications.waset.org/abstracts/133833/adaptive-decision-feedback-equalizer-utilizing-fixed-step-error-signal-for-multi-gbps-serial-links" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133833.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">120</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4400</span> Video Foreground Detection Based on Adaptive Mixture Gaussian Model for Video Surveillance Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20Alavianmehr">M. A. Alavianmehr</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Tashk"> A. Tashk</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Sodagaran"> A. Sodagaran</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Modeling background and moving objects are significant techniques for video surveillance and other video processing applications. This paper presents a foreground detection algorithm that is robust against illumination changes and noise based on adaptive mixture Gaussian model (GMM), and provides a novel and practical choice for intelligent video surveillance systems using static cameras. In the previous methods, the image of still objects (background image) is not significant. On the contrary, this method is based on forming a meticulous background image and exploiting it for separating moving objects from their background. The background image is specified either manually, by taking an image without vehicles, or is detected in real-time by forming a mathematical or exponential average of successive images. The proposed scheme can offer low image degradation. The simulation results demonstrate high degree of performance for the proposed method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=image%20processing" title="image processing">image processing</a>, <a href="https://publications.waset.org/abstracts/search?q=background%20models" title=" background models"> background models</a>, <a href="https://publications.waset.org/abstracts/search?q=video%20surveillance" title=" video surveillance"> video surveillance</a>, <a href="https://publications.waset.org/abstracts/search?q=foreground%20detection" title=" foreground detection"> foreground detection</a>, <a href="https://publications.waset.org/abstracts/search?q=Gaussian%20mixture%20model" title=" Gaussian mixture model"> Gaussian mixture model</a> </p> <a href="https://publications.waset.org/abstracts/16364/video-foreground-detection-based-on-adaptive-mixture-gaussian-model-for-video-surveillance-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16364.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">516</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4399</span> The Adaptive Properties of the Strategic Assurance System of the National Economy Sustainability to the Economic Security Threats</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Badri%20Gechbaia">Badri Gechbaia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Adaptive management as a fundamental element of the concept of the assurance of economy`s sustainability to the economic security of the system-synergetic type has been considered. It has been proved that the adaptive sustainable development is a transitional phase from the extensive one and later on from the rapid growth to the sustainable development. It has been determined that the adaptive system of the strategic assurance of the sustainability of the economy to the economic security threats is formed on the principles of the domination in its complex of the subsystems with weightier adaptive characteristics that negate the destructive influence of external and internal environmental factors on the sustainability of the national economy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20management" title="adaptive management">adaptive management</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive%20properties" title=" adaptive properties"> adaptive properties</a>, <a href="https://publications.waset.org/abstracts/search?q=economic%20security" title=" economic security"> economic security</a>, <a href="https://publications.waset.org/abstracts/search?q=strategic%20assurance" title=" strategic assurance "> strategic assurance </a> </p> <a href="https://publications.waset.org/abstracts/35350/the-adaptive-properties-of-the-strategic-assurance-system-of-the-national-economy-sustainability-to-the-economic-security-threats" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35350.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">507</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4398</span> Negative Sequence-Based Protection Techniques for Microgrid Connected Power Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Isabelle%20Snyder">Isabelle Snyder</a>, <a href="https://publications.waset.org/abstracts/search?q=Travis%20Smith"> Travis Smith</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Microgrid protection presents challenges to conventional protection techniques due to the low-induced fault current. Protection relays present in microgrid applications require a combination of settings groups to adjust based on the architecture of the microgrid in islanded and grid-connected modes. In a radial system where the microgrid is at the other end of the feeder, directional elements can be used to identify the direction of the fault current and switch settings groups accordingly (grid-connected or microgrid-connected). However, with multiple microgrid connections, this concept becomes more challenging, and the direction of the current alone is not sufficient to identify the source of the fault current contribution. ORNL has previously developed adaptive relaying schemes through other DOE-funded research projects that will be evaluated and used as a baseline for this research. The four protection techniques in this study are labeled as follows: (1) Adaptive Current only Protection System (ACPS), Intentional (2) Unbalanced Control for Protection Control (IUCPC), (3) Adaptive Protection System with Communication Controller (APSCC) (4) Adaptive Model-Driven Protective Relay (AMDPR). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20relaying" title="adaptive relaying">adaptive relaying</a>, <a href="https://publications.waset.org/abstracts/search?q=microgrid%20protection" title=" microgrid protection"> microgrid protection</a>, <a href="https://publications.waset.org/abstracts/search?q=sequence%20components" title=" sequence components"> sequence components</a>, <a href="https://publications.waset.org/abstracts/search?q=islanding%20detection" title=" islanding detection"> islanding detection</a> </p> <a href="https://publications.waset.org/abstracts/171820/negative-sequence-based-protection-techniques-for-microgrid-connected-power-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/171820.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">96</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4397</span> Enhancing Organizational Performance through Adaptive Learning: A Case Study of ASML</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ramin%20Shadani">Ramin Shadani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study introduces adaptive performance as a key organizational performance dimension and explores the relationship between the dimensions of a learning organization and adaptive performance. A survey was therefore conducted using the dimensions of the Learning Organization Questionnaire (DLOQ), followed by factor analysis and structural equation modeling in order to investigate the dynamics between learning organization practices and adaptive performance. Results confirm that adaptive performance is indeed one important dimension of organizational performance. The study also shows that perceived knowledge and adaptive performance mediate the positive relationship between the practices of a learning organization with perceived financial performance. We extend existing DLOQ research by demonstrating that adaptive performance, as a nonfinancial organizational learning outcome, has a significant impact on financial performance. Our study also provides additional validation of the measures of DLOQ's performance. Indeed, organizations need to take a glance at how the activities of learning and development can provide better overall improvement in performance, especially in enhancing adaptive capability. The study has provided requisite empirical support that activities of learning and development within organizations allow much-improved intangible performance outcomes, especially through adaptive performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20performance" title="adaptive performance">adaptive performance</a>, <a href="https://publications.waset.org/abstracts/search?q=continuous%20learning" title=" continuous learning"> continuous learning</a>, <a href="https://publications.waset.org/abstracts/search?q=financial%20performance" title=" financial performance"> financial performance</a>, <a href="https://publications.waset.org/abstracts/search?q=leadership%20style" title=" leadership style"> leadership style</a>, <a href="https://publications.waset.org/abstracts/search?q=organizational%20learning" title=" organizational learning"> organizational learning</a>, <a href="https://publications.waset.org/abstracts/search?q=organizational%20performance" title=" organizational performance"> organizational performance</a> </p> <a href="https://publications.waset.org/abstracts/191916/enhancing-organizational-performance-through-adaptive-learning-a-case-study-of-asml" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191916.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">27</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4396</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/abstracts/search?q=Alia%20Abdul%20Ghaffar">Alia Abdul Ghaffar</a>, <a href="https://publications.waset.org/abstracts/search?q=Tom%20Richardson"> Tom Richardson</a> </p> <p class="card-text"><strong>Abstract:</strong></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 control, unlike a fixed gain control, 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 results in an enhanced tracking performance in the presence of parametric uncertainties. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=UAV" title="UAV">UAV</a>, <a href="https://publications.waset.org/abstracts/search?q=quadrotor" title=" quadrotor"> quadrotor</a>, <a href="https://publications.waset.org/abstracts/search?q=robotic%20arm%20augmentation" title=" robotic arm augmentation"> robotic arm augmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20reference%20adaptive%20control" title=" model reference adaptive control"> model reference adaptive control</a>, <a href="https://publications.waset.org/abstracts/search?q=LQR%20control" title=" LQR control"> LQR control</a> </p> <a href="https://publications.waset.org/abstracts/14946/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/abstracts/14946.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">472</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4395</span> Dynamic Process Monitoring of an Ammonia Synthesis Fixed-Bed Reactor</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bothinah%20Altaf">Bothinah Altaf</a>, <a href="https://publications.waset.org/abstracts/search?q=Gary%20Montague"> Gary Montague</a>, <a href="https://publications.waset.org/abstracts/search?q=Elaine%20B.%20Martin"> Elaine B. Martin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study involves the modeling and monitoring of an ammonia synthesis fixed-bed reactor using partial least squares (PLS) and its variants. The process exhibits complex dynamic behavior due to the presence of heat recycling and feed quench. One limitation of static PLS model in this situation is that it does not take account of the process dynamics and hence dynamic PLS was used. Although it showed, superior performance to static PLS in terms of prediction, the monitoring scheme was inappropriate hence adaptive PLS was considered. A limitation of adaptive PLS is that non-conforming observations also contribute to the model, therefore, a new adaptive approach was developed, robust adaptive dynamic PLS. This approach updates a dynamic PLS model and is robust to non-representative data. The developed methodology showed a clear improvement over existing approaches in terms of the modeling of the reactor and the detection of faults. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ammonia%20synthesis%20fixed-bed%20reactor" title="ammonia synthesis fixed-bed reactor">ammonia synthesis fixed-bed reactor</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20partial%20least%20squares%20modeling" title=" dynamic partial least squares modeling"> dynamic partial least squares modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=recursive%20partial%20least%20squares" title=" recursive partial least squares"> recursive partial least squares</a>, <a href="https://publications.waset.org/abstracts/search?q=robust%20modeling" title=" robust modeling"> robust modeling</a> </p> <a href="https://publications.waset.org/abstracts/37994/dynamic-process-monitoring-of-an-ammonia-synthesis-fixed-bed-reactor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37994.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">393</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4394</span> Item Response Calibration/Estimation: An Approach to Adaptive E-Learning System Development</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adeniran%20Adetunji">Adeniran Adetunji</a>, <a href="https://publications.waset.org/abstracts/search?q=Babalola%20M.%20Florence"> Babalola M. Florence</a>, <a href="https://publications.waset.org/abstracts/search?q=Akande%20Ademola"> Akande Ademola</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we made an overview on the concept of adaptive e-Learning system, enumerates the elements of adaptive learning concepts e.g. A pedagogical framework, multiple learning strategies and pathways, continuous monitoring and feedback on student performance, statistical inference to reach final learning strategy that works for an individual learner by “mass-customization”. Briefly highlights the motivation of this new system proposed for effective learning teaching. E-Review literature on the concept of adaptive e-learning system and emphasises on the Item Response Calibration, which is an important approach to developing an adaptive e-Learning system. This paper write-up is concluded on the justification of item response calibration/estimation towards designing a successful and effective adaptive e-Learning system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20e-learning%20system" title="adaptive e-learning system">adaptive e-learning system</a>, <a href="https://publications.waset.org/abstracts/search?q=pedagogical%20framework" title=" pedagogical framework"> pedagogical framework</a>, <a href="https://publications.waset.org/abstracts/search?q=item%20response" title=" item response"> item response</a>, <a href="https://publications.waset.org/abstracts/search?q=computer%20applications" title=" computer applications"> computer applications</a> </p> <a href="https://publications.waset.org/abstracts/5647/item-response-calibrationestimation-an-approach-to-adaptive-e-learning-system-development" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5647.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">595</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4393</span> Biologically Inspired Small Infrared Target Detection Using Local Contrast Mechanisms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tian%20Xia">Tian Xia</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuan%20Yan%20Tang"> Yuan Yan Tang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to obtain higher small target detection accuracy, this paper presents an effective algorithm inspired by the local contrast mechanism. The proposed method can enhance target signal and suppress background clutter simultaneously. In the first stage, a enhanced image is obtained using the proposed Weighted Laplacian of Gaussian. In the second stage, an adaptive threshold is adopted to segment the target. Experimental results on two changeling image sequences show that the proposed method can detect the bright and dark targets simultaneously, and is not sensitive to sea-sky line of the infrared image. So it is fit for IR small infrared target detection. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=small%20target%20detection" title="small target detection">small target detection</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20contrast" title=" local contrast"> local contrast</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20vision%20system" title=" human vision system"> human vision system</a>, <a href="https://publications.waset.org/abstracts/search?q=Laplacian%20of%20Gaussian" title=" Laplacian of Gaussian"> Laplacian of Gaussian</a> </p> <a href="https://publications.waset.org/abstracts/19199/biologically-inspired-small-infrared-target-detection-using-local-contrast-mechanisms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19199.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">468</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4392</span> Diagnosis of the Lubrification System of a Gas Turbine Using the Adaptive Neuro-Fuzzy Inference System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.%20Mahdjoub">H. Mahdjoub</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Hamaidi"> B. Hamaidi</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Zerouali"> B. Zerouali</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Rouabhia"> S. Rouabhia </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The issue of fault detection and diagnosis (FDD) has gained widespread industrial interest in process condition monitoring applications. Accordingly, the use of neuro-fuzzy technic seems very promising. This paper treats a diagnosis modeling a strategic equipment of an industrial installation. We propose a diagnostic tool based on adaptive neuro-fuzzy inference system (ANFIS). The neuro-fuzzy network provides an abductive diagnosis. Moreover, it takes into account the uncertainties on the maintenance knowledge by giving a fuzzy characterization of each cause. This work was carried out with real data of a lubrication circuit from the gas turbine. The machine of interest is a gas turbine placed in a gas compressor station at South Industrial Centre (SIC Hassi Messaoud Ouargla, Algeria). We have defined the zones of good and bad functioning, and the results are presented to demonstrate the advantages of the proposed method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fault%20detection%20and%20diagnosis" title="fault detection and diagnosis">fault detection and diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=lubrication%20system" title=" lubrication system"> lubrication system</a>, <a href="https://publications.waset.org/abstracts/search?q=turbine" title=" turbine"> turbine</a>, <a href="https://publications.waset.org/abstracts/search?q=ANFIS" title=" ANFIS"> ANFIS</a>, <a href="https://publications.waset.org/abstracts/search?q=training" title=" training"> training</a>, <a href="https://publications.waset.org/abstracts/search?q=pattern%20recognition" title=" pattern recognition"> pattern recognition</a> </p> <a href="https://publications.waset.org/abstracts/31945/diagnosis-of-the-lubrification-system-of-a-gas-turbine-using-the-adaptive-neuro-fuzzy-inference-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31945.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">489</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4391</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/abstracts/search?q=H.%20Mansor">H. Mansor</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20B.%20Mohd-Noor"> S. B. Mohd-Noor</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20S.%20Gunawan"> T. S. Gunawan</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Khan"> S. Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20I.%20Othman"> N. I. Othman</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Tazali"> N. Tazali</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20B.%20Islam"> R. B. Islam</a> </p> <p class="card-text"><strong>Abstract:</strong></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 (pole-placement). 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 class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20control" title="adaptive control">adaptive control</a>, <a href="https://publications.waset.org/abstracts/search?q=deadbeat" title=" deadbeat"> deadbeat</a>, <a href="https://publications.waset.org/abstracts/search?q=pole-placement" title=" pole-placement"> pole-placement</a>, <a href="https://publications.waset.org/abstracts/search?q=bench-top%20helicopter" title=" bench-top helicopter"> bench-top helicopter</a>, <a href="https://publications.waset.org/abstracts/search?q=self-tuning%20control" title=" self-tuning control"> self-tuning control</a> </p> <a href="https://publications.waset.org/abstracts/15094/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/abstracts/15094.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">501</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4390</span> Vehicular Speed Detection Camera System Using Video Stream</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20A.%20Anser%20Pasha">C. A. Anser Pasha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a new Vehicular Speed Detection Camera System that is applicable as an alternative to traditional radars with the same accuracy or even better is presented. The real-time measurement and analysis of various traffic parameters such as speed and number of vehicles are increasingly required in traffic control and management. Image processing techniques are now considered as an attractive and flexible method for automatic analysis and data collections in traffic engineering. Various algorithms based on image processing techniques have been applied to detect multiple vehicles and track them. The SDCS processes can be divided into three successive phases; the first phase is Objects detection phase, which uses a hybrid algorithm based on combining an adaptive background subtraction technique with a three-frame differencing algorithm which ratifies the major drawback of using only adaptive background subtraction. The second phase is Objects tracking, which consists of three successive operations - object segmentation, object labeling, and object center extraction. Objects tracking operation takes into consideration the different possible scenarios of the moving object like simple tracking, the object has left the scene, the object has entered the scene, object crossed by another object, and object leaves and another one enters the scene. The third phase is speed calculation phase, which is calculated from the number of frames consumed by the object to pass by the scene. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=radar" title="radar">radar</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20processing" title=" image processing"> image processing</a>, <a href="https://publications.waset.org/abstracts/search?q=detection" title=" detection"> detection</a>, <a href="https://publications.waset.org/abstracts/search?q=tracking" title=" tracking"> tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=segmentation" title=" segmentation"> segmentation</a> </p> <a href="https://publications.waset.org/abstracts/45316/vehicular-speed-detection-camera-system-using-video-stream" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45316.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">467</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4389</span> Adaptive Multipath Mitigation Acquisition Approach for Global Positioning System Software Receivers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Animut%20Meseret%20Simachew">Animut Meseret Simachew</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Parallel Code Phase Search Acquisition (PCSA) Algorithm has been considered as a promising method in GPS software receivers for detection and estimation of the accurate correlation peak between the received Global Positioning System (GPS) signal and locally generated replicas. GPS signal acquisition in highly dense multipath environments is the main research challenge. In this work, we proposed a robust variable step-size (RVSS) PCSA algorithm based on fast frequency transform (FFT) filtering technique to mitigate short time delay multipath signals. Simulation results reveal the effectiveness of the proposed algorithm over the conventional PCSA algorithm. The proposed RVSS-PCSA algorithm equalizes the received carrier wiped-off signal with locally generated C/A code. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20PCSA" title="adaptive PCSA">adaptive PCSA</a>, <a href="https://publications.waset.org/abstracts/search?q=detection%20and%20estimation" title=" detection and estimation"> detection and estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=GPS%20signal%20acquisition" title=" GPS signal acquisition"> GPS signal acquisition</a>, <a href="https://publications.waset.org/abstracts/search?q=GPS%20software%20receiver" title=" GPS software receiver"> GPS software receiver</a> </p> <a href="https://publications.waset.org/abstracts/101811/adaptive-multipath-mitigation-acquisition-approach-for-global-positioning-system-software-receivers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101811.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">117</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4388</span> Building and Tree Detection Using Multiscale Matched Filtering</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdullah%20H.%20%C3%96zcan">Abdullah H. Özcan</a>, <a href="https://publications.waset.org/abstracts/search?q=Dilara%20Hisar"> Dilara Hisar</a>, <a href="https://publications.waset.org/abstracts/search?q=Yetkin%20Sayar"> Yetkin Sayar</a>, <a href="https://publications.waset.org/abstracts/search?q=Cem%20%C3%9Cnsalan"> Cem Ünsalan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, an automated building and tree detection method is proposed using DSM data and true orthophoto image. A multiscale matched filtering is used on DSM data. Therefore, first watershed transform is applied. Then, Otsu’s thresholding method is used as an adaptive threshold to segment each watershed region. Detected objects are masked with NDVI to separate buildings and trees. The proposed method is able to detect buildings and trees without entering any elevation threshold. We tested our method on ISPRS semantic labeling dataset and obtained promising results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=building%20detection" title="building detection">building detection</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20maximum%20filtering" title=" local maximum filtering"> local maximum filtering</a>, <a href="https://publications.waset.org/abstracts/search?q=matched%20filtering" title=" matched filtering"> matched filtering</a>, <a href="https://publications.waset.org/abstracts/search?q=multiscale" title=" multiscale"> multiscale</a> </p> <a href="https://publications.waset.org/abstracts/59277/building-and-tree-detection-using-multiscale-matched-filtering" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59277.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">320</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4387</span> Comparison of Presented Definitions and Aspects of Authenticity and Integrity in Adaptive Reuse</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Golnaz%20Salehi%20Mourkani">Golnaz Salehi Mourkani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Two conception of Integrity and authenticity, in texts have just applied respectively for adaptive reuse and conservation, which in comparison with word “Integrity” in texts related to adaptive reuse is much more seen than Authenticity, which is often applied with conservation. According to Stove, H. (2007) in some cases, this conception have used with this form “integrity/authenticity” in texts, that cause to infer one conception of both. In this article, with referring to definitions and comparison of aspects specialized to both concept of “Authenticity and Integrity” through literature review, it was attempted to examine common and distinctive aspects of each one, then with this method we can reach their differences in adaptive reuse. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20reuse" title="adaptive reuse">adaptive reuse</a>, <a href="https://publications.waset.org/abstracts/search?q=integrity" title=" integrity"> integrity</a>, <a href="https://publications.waset.org/abstracts/search?q=authenticity" title=" authenticity"> authenticity</a>, <a href="https://publications.waset.org/abstracts/search?q=conservation" title=" conservation"> conservation</a> </p> <a href="https://publications.waset.org/abstracts/18769/comparison-of-presented-definitions-and-aspects-of-authenticity-and-integrity-in-adaptive-reuse" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18769.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">460</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4386</span> Adaptive Cooperative Control of Nonholonomic Mobile Robot Based on Immersion and Invariance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Imil%20Hamda%20Imran">Imil Hamda Imran</a>, <a href="https://publications.waset.org/abstracts/search?q=Sami%20El%20Ferik"> Sami El Ferik</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper deals with adaptive cooperative control of non holonomic mobile robot moved together in a given formation. The controller is designed based on the Immersion and Invariance (I&I) approach. I&I is a framework for adaptive stabilization of nonlinear systems with uncertain parameters. We investigate the tracking control of non holonomic mobile robot with uncertainties in The I&I-based adaptive controller regulates the angular and linear velocity of non holonomic mobile robot. The results demonstrate that the ability of I&I-based adaptive cooperative control in tracking the position of non holonomic mobile robot. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nonholonomic%20mobile%20robot" title="nonholonomic mobile robot">nonholonomic mobile robot</a>, <a href="https://publications.waset.org/abstracts/search?q=immersion%20and%20invariance" title=" immersion and invariance"> immersion and invariance</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive%20control" title=" adaptive control"> adaptive control</a>, <a href="https://publications.waset.org/abstracts/search?q=uncertain%20nonlinear%20systems" title=" uncertain nonlinear systems"> uncertain nonlinear systems</a> </p> <a href="https://publications.waset.org/abstracts/21832/adaptive-cooperative-control-of-nonholonomic-mobile-robot-based-on-immersion-and-invariance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21832.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">498</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4385</span> A Dynamic Ensemble Learning Approach for Online Anomaly Detection in Alibaba Datacenters</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wanyi%20Zhu">Wanyi Zhu</a>, <a href="https://publications.waset.org/abstracts/search?q=Xia%20Ming"> Xia Ming</a>, <a href="https://publications.waset.org/abstracts/search?q=Huafeng%20Wang"> Huafeng Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Junda%20Chen"> Junda Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Lu%20Liu"> Lu Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiangwei%20Jiang"> Jiangwei Jiang</a>, <a href="https://publications.waset.org/abstracts/search?q=Guohua%20Liu"> Guohua Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Anomaly detection is a first and imperative step needed to respond to unexpected problems and to assure high performance and security in large data center management. This paper presents an online anomaly detection system through an innovative approach of ensemble machine learning and adaptive differentiation algorithms, and applies them to performance data collected from a continuous monitoring system for multi-tier web applications running in Alibaba data centers. We evaluate the effectiveness and efficiency of this algorithm with production traffic data and compare with the traditional anomaly detection approaches such as a static threshold and other deviation-based detection techniques. The experiment results show that our algorithm correctly identifies the unexpected performance variances of any running application, with an acceptable false positive rate. This proposed approach has already been deployed in real-time production environments to enhance the efficiency and stability in daily data center operations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alibaba%20data%20centers" title="Alibaba data centers">Alibaba data centers</a>, <a href="https://publications.waset.org/abstracts/search?q=anomaly%20detection" title=" anomaly detection"> anomaly detection</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data%20computation" title=" big data computation"> big data computation</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20ensemble%20learning" title=" dynamic ensemble learning"> dynamic ensemble learning</a> </p> <a href="https://publications.waset.org/abstracts/86171/a-dynamic-ensemble-learning-approach-for-online-anomaly-detection-in-alibaba-datacenters" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/86171.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">200</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4384</span> Neural Adaptive Controller for a Class of Nonlinear Pendulum Dynamical System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Reza%20Rahimi%20Khoygani">Mohammad Reza Rahimi Khoygani</a>, <a href="https://publications.waset.org/abstracts/search?q=Reza%20Ghasemi"> Reza Ghasemi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, designing direct adaptive neural controller is applied for a class of a nonlinear pendulum dynamic system. The radial basis function (RBF) is used for the Neural network (NN). The adaptive neural controller is robust in presence of external and internal uncertainties. Both the effectiveness of the controller and robustness against disturbances are the merits of this paper. The promising performance of the proposed controllers investigates in simulation results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20control" title="adaptive control">adaptive control</a>, <a href="https://publications.waset.org/abstracts/search?q=pendulum%20dynamical%20system" title=" pendulum dynamical system"> pendulum dynamical system</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20control" title=" nonlinear control"> nonlinear control</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive%20neural%20controller" title=" adaptive neural controller"> adaptive neural controller</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20dynamical" title=" nonlinear dynamical"> nonlinear dynamical</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=RBF" title=" RBF"> RBF</a>, <a href="https://publications.waset.org/abstracts/search?q=driven%20pendulum" title=" driven pendulum"> driven pendulum</a>, <a href="https://publications.waset.org/abstracts/search?q=position%20control" title=" position control "> position control </a> </p> <a href="https://publications.waset.org/abstracts/13649/neural-adaptive-controller-for-a-class-of-nonlinear-pendulum-dynamical-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13649.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">670</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4383</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/abstracts/search?q=B.%20T.%20Chew">B. T. Chew</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20N.%20Kazi"> S. N. Kazi</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Amiri"> A. Amiri</a> </p> <p class="card-text"><strong>Abstract:</strong></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 23.9-26.0 oC, with outdoor temperatures ranging between 27.0–34.6oC. The most comfortable temperature for students in the lecture hall was 25.7 oC. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hot%20and%20humid" title="hot and humid">hot and humid</a>, <a href="https://publications.waset.org/abstracts/search?q=lecture%20halls" title=" lecture halls"> lecture halls</a>, <a href="https://publications.waset.org/abstracts/search?q=neutral%20temperature" title=" neutral temperature"> neutral temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive%20thermal%20comfort%20model" title=" adaptive thermal comfort model"> adaptive thermal comfort model</a> </p> <a href="https://publications.waset.org/abstracts/15160/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/abstracts/15160.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">368</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4382</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/abstracts/search?q=R.%20Ghasemi">R. Ghasemi</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20R.%20Rahimi%20Khoygani"> M. R. Rahimi Khoygani</a> </p> <p class="card-text"><strong>Abstract:</strong></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 class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20neural%20controller" title="adaptive neural controller">adaptive neural controller</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20dynamical" title=" nonlinear dynamical"> nonlinear dynamical</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=RBF" title=" RBF"> RBF</a>, <a href="https://publications.waset.org/abstracts/search?q=driven%20pendulum" title=" driven pendulum"> driven pendulum</a>, <a href="https://publications.waset.org/abstracts/search?q=position%20control" title=" position control "> position control </a> </p> <a href="https://publications.waset.org/abstracts/13745/designing-intelligent-adaptive-controller-for-nonlinear-pendulum-dynamical-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13745.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">482</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4381</span> A Character Detection Method for Ancient Yi Books Based on Connected Components and Regressive Character Segmentation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xu%20Han">Xu Han</a>, <a href="https://publications.waset.org/abstracts/search?q=Shanxiong%20Chen"> Shanxiong Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Shiyu%20Zhu"> Shiyu Zhu</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaoyu%20Lin"> Xiaoyu Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Fujia%20Zhao"> Fujia Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Dingwang%20Wang"> Dingwang Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Character detection is an important issue for character recognition of ancient Yi books. The accuracy of detection directly affects the recognition effect of ancient Yi books. Considering the complex layout, the lack of standard typesetting and the mixed arrangement between images and texts, we propose a character detection method for ancient Yi books based on connected components and regressive character segmentation. First, the scanned images of ancient Yi books are preprocessed with nonlocal mean filtering, and then a modified local adaptive threshold binarization algorithm is used to obtain the binary images to segment the foreground and background for the images. Second, the non-text areas are removed by the method based on connected components. Finally, the single character in the ancient Yi books is segmented by our method. The experimental results show that the method can effectively separate the text areas and non-text areas for ancient Yi books and achieve higher accuracy and recall rate in the experiment of character detection, and effectively solve the problem of character detection and segmentation in character recognition of ancient books. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CCS%20concepts" title="CCS concepts">CCS concepts</a>, <a href="https://publications.waset.org/abstracts/search?q=computing%20methodologies" title=" computing methodologies"> computing methodologies</a>, <a href="https://publications.waset.org/abstracts/search?q=interest%20point" title=" interest point"> interest point</a>, <a href="https://publications.waset.org/abstracts/search?q=salient%20region%20detections" title=" salient region detections"> salient region detections</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20segmentation" title=" image segmentation"> image segmentation</a> </p> <a href="https://publications.waset.org/abstracts/115647/a-character-detection-method-for-ancient-yi-books-based-on-connected-components-and-regressive-character-segmentation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115647.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">132</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=adaptive%20detection&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=adaptive%20detection&page=3">3</a></li> <li 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