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loom</title> <meta name="description" content="Search results for: automatic loom"> <meta name="keywords" content="automatic loom"> <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 navbar-toggler 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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="automatic loom"> <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> 907</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: automatic loom</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">907</span> Dynamic Model of Automatic Loom on SimulationX</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Jomartov">A. Jomartov</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Tuleshov"> A. Tuleshov</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Tultaev"> B. Tultaev</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the main tasks in the development of textile machinery is to increase the rapidity of automatic looms, and consequently, their productivity. With increasing automatic loom speeds, the dynamic loads on their separate mechanisms and moving joints sharply increase. Dynamic research allows us to determine the weakest mechanisms of the automatic loom. The modern automatic loom consists of a large number of structurally different mechanisms. These are cam, lever, gear, friction and combined cyclic mechanisms. The modern automatic loom contains various mechatronic devices: A device for the automatic removal of faulty weft, electromechanical drive warp yarns, electronic controllers, servos, etc. In the paper, we consider the multibody dynamic model of the automatic loom on the software complex SimulationX. SimulationX is multidisciplinary software for modeling complex physical and technical facilities and systems. The multibody dynamic model of the automatic loom allows consideration of: The transition processes, backlash at the joints and nodes, the force of resistance and electric motor performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automatic%20loom" title="automatic loom">automatic loom</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamics" title=" dynamics"> dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=model" title=" model"> model</a>, <a href="https://publications.waset.org/abstracts/search?q=multibody" title=" multibody"> multibody</a>, <a href="https://publications.waset.org/abstracts/search?q=SimulationX" title=" SimulationX"> SimulationX</a> </p> <a href="https://publications.waset.org/abstracts/59167/dynamic-model-of-automatic-loom-on-simulationx" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59167.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">348</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">906</span> Estimation of Twist Loss in the Weft Yarn during Air-Jet Weft Insertion</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Umair">Muhammad Umair</a>, <a href="https://publications.waset.org/abstracts/search?q=Yasir%20Nawab"> Yasir Nawab</a>, <a href="https://publications.waset.org/abstracts/search?q=Khubab%20Shaker"> Khubab Shaker</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Maqsood"> Muhammad Maqsood</a>, <a href="https://publications.waset.org/abstracts/search?q=Adeel%20Zulfiqar"> Adeel Zulfiqar</a>, <a href="https://publications.waset.org/abstracts/search?q=Danish%20Mahmood%20Baitab"> Danish Mahmood Baitab</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fabric is a flexible woven material consisting of a network of natural or artificial fibers often referred to as thread or yarn. Today fabrics are produced by weaving, braiding, knitting, tufting and non-woven. Weaving is a method of fabric production in which warp and weft yarns are interlaced perpendicular to each other. There is infinite number of ways for the interlacing of warp and weft yarn. Each way produces a different fabric structure. The yarns parallel to the machine direction are called warp yarns and the yarns perpendicular to the machine direction are called weft or filling yarns. Air jet weaving is the modern method of weft insertion and considered as high speed loom. The twist loss in air jet during weft insertion affects the strength. The aim of this study was to investigate the effect of twist change in weft yarn during air-jet weft insertion. A total number of 8 samples were produced using 1/1 plain and 3/1 twill weave design with two fabric widths having same loom settings. Two different types of yarns like cotton and PC blend were used. The effect of material type, weave design and fabric width on twist change of weft yarn was measured and discussed. Twist change in the different types of weft yarn and weave design was measured and compared the twist change in the weft yarn with the yarn before weft yarn insertion and twist loss is measured. Wider fabric leads to higher twist loss in the yarn. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20jet%20loom" title="air jet loom">air jet loom</a>, <a href="https://publications.waset.org/abstracts/search?q=twist%20per%20inch" title=" twist per inch"> twist per inch</a>, <a href="https://publications.waset.org/abstracts/search?q=twist%20loss" title=" twist loss"> twist loss</a>, <a href="https://publications.waset.org/abstracts/search?q=weft%20yarn" title=" weft yarn"> weft yarn</a> </p> <a href="https://publications.waset.org/abstracts/10924/estimation-of-twist-loss-in-the-weft-yarn-during-air-jet-weft-insertion" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10924.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">403</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">905</span> Modern Machine Learning Conniptions for Automatic Speech Recognition</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Jagadeesh%20Kumar">S. Jagadeesh Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This expose presents a luculent of recent machine learning practices as employed in the modern and as pertinent to prospective automatic speech recognition schemes. The aspiration is to promote additional traverse ablution among the machine learning and automatic speech recognition factions that have transpired in the precedent. The manuscript is structured according to the chief machine learning archetypes that are furthermore trendy by now or have latency for building momentous hand-outs to automatic speech recognition expertise. The standards offered and convoluted in this article embraces adaptive and multi-task learning, active learning, Bayesian learning, discriminative learning, generative learning, supervised and unsupervised learning. These learning archetypes are aggravated and conferred in the perspective of automatic speech recognition tools and functions. This manuscript bequeaths and surveys topical advances of deep learning and learning with sparse depictions; further limelight is on their incessant significance in the evolution of automatic speech recognition. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automatic%20speech%20recognition" title="automatic speech recognition">automatic speech recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning%20methods" title=" deep learning methods"> deep learning methods</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning%20archetypes" title=" machine learning archetypes"> machine learning archetypes</a>, <a href="https://publications.waset.org/abstracts/search?q=Bayesian%20learning" title=" Bayesian learning"> Bayesian learning</a>, <a href="https://publications.waset.org/abstracts/search?q=supervised%20and%20unsupervised%20learning" title=" supervised and unsupervised learning"> supervised and unsupervised learning</a> </p> <a href="https://publications.waset.org/abstracts/71467/modern-machine-learning-conniptions-for-automatic-speech-recognition" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71467.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">448</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">904</span> Possibilities, Challenges and the State of the Art of Automatic Speech Recognition in Air Traffic Control</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Van%20Nhan%20Nguyen">Van Nhan Nguyen</a>, <a href="https://publications.waset.org/abstracts/search?q=Harald%20Holone"> Harald Holone</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Over the past few years, a lot of research has been conducted to bring Automatic Speech Recognition (ASR) into various areas of Air Trafﬁc Control (ATC), such as air trafﬁc control simulation and training, monitoring live operators for with the aim of safety improvements, air trafﬁc controller workload measurement and conducting analysis on large quantities controller-pilot speech. Due to the high accuracy requirements of the ATC context and its unique challenges, automatic speech recognition has not been widely adopted in this ﬁeld. With the aim of providing a good starting point for researchers who are interested bringing automatic speech recognition into ATC, this paper gives an overview of possibilities and challenges of applying automatic speech recognition in air trafﬁc control. To provide this overview, we present an updated literature review of speech recognition technologies in general, as well as speciﬁc approaches relevant to the ATC context. Based on this literature review, criteria for selecting speech recognition approaches for the ATC domain are presented, and remaining challenges and possible solutions are discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automatic%20speech%20recognition" title="automatic speech recognition">automatic speech recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=asr" title=" asr"> asr</a>, <a href="https://publications.waset.org/abstracts/search?q=air%20traffic%20control" title=" air traffic control"> air traffic control</a>, <a href="https://publications.waset.org/abstracts/search?q=atc" title=" atc"> atc</a> </p> <a href="https://publications.waset.org/abstracts/31004/possibilities-challenges-and-the-state-of-the-art-of-automatic-speech-recognition-in-air-traffic-control" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31004.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">399</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">903</span> Evaluation of Manual and Automatic Calibration Methods for Digital Tachographs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sarp%20Erturk">Sarp Erturk</a>, <a href="https://publications.waset.org/abstracts/search?q=Levent%20Eyigel"> Levent Eyigel</a>, <a href="https://publications.waset.org/abstracts/search?q=Cihat%20Celik"> Cihat Celik</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammet%20Sahinoglu"> Muhammet Sahinoglu</a>, <a href="https://publications.waset.org/abstracts/search?q=Serdar%20Ay"> Serdar Ay</a>, <a href="https://publications.waset.org/abstracts/search?q=Yasin%20Kaya"> Yasin Kaya</a>, <a href="https://publications.waset.org/abstracts/search?q=Hasan%20Kaya"> Hasan Kaya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a quantitative analysis on the need for automotive calibration methods for digital tachographs. Digital tachographs are mandatory for vehicles used in people and goods transport and they are an important aspect for road safety and inspection. Digital tachographs need to be calibrated for workshops in order for the digital tachograph to display and record speed and odometer values correctly. Calibration of digital tachographs can be performed either manual or automatic. It is shown in this paper that manual calibration of digital tachographs is prone to errors and there can be differences between manual and automatic calibration parameters. Therefore automatic calibration methods are imperative for digital tachograph calibration. The presented experimental results and error analysis clearly support the claims of the paper by evaluating and statistically comparing manual and automatic calibration methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=digital%20tachograph" title="digital tachograph">digital tachograph</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title=" road safety"> road safety</a>, <a href="https://publications.waset.org/abstracts/search?q=tachograph%20calibration" title=" tachograph calibration"> tachograph calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=tachograph%20workshops" title=" tachograph workshops"> tachograph workshops</a> </p> <a href="https://publications.waset.org/abstracts/82352/evaluation-of-manual-and-automatic-calibration-methods-for-digital-tachographs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82352.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">334</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">902</span> Research and Development of Intelligent Cooling Channels Design System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Q.%20Niu">Q. Niu</a>, <a href="https://publications.waset.org/abstracts/search?q=X.%20H.%20Zhou"> X. H. Zhou</a>, <a href="https://publications.waset.org/abstracts/search?q=W.%20Liu"> W. Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The cooling channels of injection mould play a crucial role in determining the productivity of moulding process and the product quality. It’s not a simple task to design high quality cooling channels. In this paper, an intelligent cooling channels design system including automatic layout of cooling channels, interference checking and assembly of accessories is studied. Automatic layout of cooling channels using genetic algorithm is analyzed. Through integrating experience criteria of designing cooling channels, considering the factors such as the mould temperature and interference checking, the automatic layout of cooling channels is implemented. The method of checking interference based on distance constraint algorithm and the function of automatic and continuous assembly of accessories are developed and integrated into the system. Case studies demonstrate the feasibility and practicality of the intelligent design system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=injection%20mould" title="injection mould">injection mould</a>, <a href="https://publications.waset.org/abstracts/search?q=cooling%20channel" title=" cooling channel"> cooling channel</a>, <a href="https://publications.waset.org/abstracts/search?q=intelligent%20design" title=" intelligent design"> intelligent design</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20layout" title=" automatic layout"> automatic layout</a>, <a href="https://publications.waset.org/abstracts/search?q=interference%20checking" title=" interference checking"> interference checking</a> </p> <a href="https://publications.waset.org/abstracts/11809/research-and-development-of-intelligent-cooling-channels-design-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11809.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">440</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">901</span> Design of an Augmented Automatic Choosing Control with Constrained Input by Lyapunov Functions Using Gradient Optimization Automatic Choosing Functions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Toshinori%20Nawata">Toshinori Nawata</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper a nonlinear feedback control called augmented automatic choosing control (AACC) for a class of nonlinear systems with constrained input is presented. When designing the control, a constant term which arises from linearization of a given nonlinear system is treated as a coefficient of a stable zero dynamics. Parameters of the control are suboptimally selected by maximizing the stable region in the sense of Lyapunov with the aid of a genetic algorithm. This approach is applied to a field excitation control problem of power system to demonstrate the splendidness of the AACC. Simulation results show that the new controller can improve performance remarkably well. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=augmented%20automatic%20choosing%20control" title="augmented automatic choosing control">augmented automatic choosing control</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=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=zero%20dynamics" title=" zero dynamics"> zero dynamics</a> </p> <a href="https://publications.waset.org/abstracts/11537/design-of-an-augmented-automatic-choosing-control-with-constrained-input-by-lyapunov-functions-using-gradient-optimization-automatic-choosing-functions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11537.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">479</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">900</span> Automatic Moment-Based Texture Segmentation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tudor%20Barbu">Tudor Barbu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An automatic moment-based texture segmentation approach is proposed in this paper. First, we describe the related work in this computer vision domain. Our texture feature extraction, the first part of the texture recognition process, produces a set of moment-based feature vectors. For each image pixel, a texture feature vector is computed as a sequence of area moments. Second, an automatic pixel classification approach is proposed. The feature vectors are clustered using some unsupervised classification algorithm, the optimal number of clusters being determined using a measure based on validation indexes. From the resulted pixel classes one determines easily the desired texture regions of the image. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=image%20segmentation" title="image segmentation">image segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=moment-based" title=" moment-based"> moment-based</a>, <a href="https://publications.waset.org/abstracts/search?q=texture%20analysis" title=" texture analysis"> texture analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20classification" title=" automatic classification"> automatic classification</a>, <a href="https://publications.waset.org/abstracts/search?q=validation%20indexes" title=" validation indexes"> validation indexes</a> </p> <a href="https://publications.waset.org/abstracts/3065/automatic-moment-based-texture-segmentation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3065.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">416</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">899</span> Personal Information Classification Based on Deep Learning in Automatic Form Filling System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shunzuo%20Wu">Shunzuo Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Xudong%20Luo"> Xudong Luo</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuanxiu%20Liao"> Yuanxiu Liao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recently, the rapid development of deep learning makes artificial intelligence (AI) penetrate into many fields, replacing manual work there. In particular, AI systems also become a research focus in the field of automatic office. To meet real needs in automatic officiating, in this paper we develop an automatic form filling system. Specifically, it uses two classical neural network models and several word embedding models to classify various relevant information elicited from the Internet. When training the neural network models, we use less noisy and balanced data for training. We conduct a series of experiments to test my systems and the results show that our system can achieve better classification results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence%20and%20office" title="artificial intelligence and office">artificial intelligence and office</a>, <a href="https://publications.waset.org/abstracts/search?q=NLP" title=" NLP"> NLP</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=text%20classification" title=" text classification"> text classification</a> </p> <a href="https://publications.waset.org/abstracts/129742/personal-information-classification-based-on-deep-learning-in-automatic-form-filling-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129742.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">201</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">898</span> A Comparison of YOLO Family for Apple Detection and Counting in Orchards</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yuanqing%20Li">Yuanqing Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Changyi%20Lei"> Changyi Lei</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhaopeng%20Xue"> Zhaopeng Xue</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhuo%20Zheng"> Zhuo Zheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Yanbo%20Long"> Yanbo Long</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In agricultural production and breeding, implementing automatic picking robot in orchard farming to reduce human labour and error is challenging. The core function of it is automatic identification based on machine vision. This paper focuses on apple detection and counting in orchards and implements several deep learning methods. Extensive datasets are used and a semi-automatic annotation method is proposed. The proposed deep learning models are in state-of-the-art YOLO family. In view of the essence of the models with various backbones, a multi-dimensional comparison in details is made in terms of counting accuracy, mAP and model memory, laying the foundation for realising automatic precision agriculture. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agricultural%20object%20detection" title="agricultural object detection">agricultural object detection</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20vision" title=" machine vision"> machine vision</a>, <a href="https://publications.waset.org/abstracts/search?q=YOLO%20family" title=" YOLO family"> YOLO family</a> </p> <a href="https://publications.waset.org/abstracts/134964/a-comparison-of-yolo-family-for-apple-detection-and-counting-in-orchards" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134964.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">199</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">897</span> Development of an Automatic Sequential Extraction Device for Pu and Am Isotopes in Radioactive Waste Samples</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Myung%20Ho%20Lee">Myung Ho Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Hee%20Seung%20Lim"> Hee Seung Lim</a>, <a href="https://publications.waset.org/abstracts/search?q=Young%20Jae%20Maeng"> Young Jae Maeng</a>, <a href="https://publications.waset.org/abstracts/search?q=Chang%20Hoon%20Lee"> Chang Hoon Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study presents an automatic sequential extraction device for Pu and Am isotopes in radioactive waste samples from the nuclear power plant with anion exchange resin and TRU resin. After radionuclides were leached from the radioactive waste samples with concentrated HCl and HNO₃, the sample was allowed to evaporate to dryness after filtering the leaching solution with 0.45 micron filter. The Pu isotopes were separated in HNO₃ medium with anion exchange resin. For leaching solution passed through the anion exchange column, the Am isotopes were sequentially separated with TRU resin. Automatic sequential extraction device built-in software information of separation for Pu and Am isotopes was developed. The purified Pu and Am isotopes were measured by alpha spectrometer, respectively, after the micro-precipitation of neodymium. The data of Pu and Am isotopes in radioactive waste with an automatic sequential extraction device developed in this study were validated with the ICP-MS system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automatic%20sequential%20extraction%20device" title="automatic sequential extraction device">automatic sequential extraction device</a>, <a href="https://publications.waset.org/abstracts/search?q=Pu%20isotopes" title=" Pu isotopes"> Pu isotopes</a>, <a href="https://publications.waset.org/abstracts/search?q=Am%20isotopes" title=" Am isotopes"> Am isotopes</a>, <a href="https://publications.waset.org/abstracts/search?q=alpha%20spectrometer" title=" alpha spectrometer"> alpha spectrometer</a>, <a href="https://publications.waset.org/abstracts/search?q=radioactive%20waste%20samples" title=" radioactive waste samples"> radioactive waste samples</a>, <a href="https://publications.waset.org/abstracts/search?q=ICP-MS%20system" title=" ICP-MS system"> ICP-MS system</a> </p> <a href="https://publications.waset.org/abstracts/180385/development-of-an-automatic-sequential-extraction-device-for-pu-and-am-isotopes-in-radioactive-waste-samples" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/180385.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">74</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">896</span> Systems Approach on Thermal Analysis of an Automatic Transmission</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sinsze%20Koo">Sinsze Koo</a>, <a href="https://publications.waset.org/abstracts/search?q=Benjin%20Luo"> Benjin Luo</a>, <a href="https://publications.waset.org/abstracts/search?q=Matthew%20Henry"> Matthew Henry</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to increase the performance of an automatic transmission, the automatic transmission fluid is required to be warm up to an optimal operating temperature. In a conventional vehicle, cold starts result in friction loss occurring in the gear box and engine. The stop and go nature of city driving dramatically affect the warm-up of engine oil and automatic transmission fluid and delay the time frame needed to reach an optimal operating temperature. This temperature phenomenon impacts both engine and transmission performance but also increases fuel consumption and CO2 emission. The aim of this study is to develop know-how of the thermal behavior in order to identify thermal impacts and functional principles in automatic transmissions. Thermal behavior was studied using models and simulations, developed using GT-Suit, on a one-dimensional thermal and flow transport. A power train of a conventional vehicle was modeled in order to emphasis the thermal phenomena occurring in the various components and how they impact the automatic transmission performance. The simulation demonstrates the thermal model of a transmission fluid cooling system and its component parts in warm-up after a cold start. The result of these analyses will support the future designs of transmission systems and components in an attempt to obtain better fuel efficiency and transmission performance. Therefore, these thermal analyses could possibly identify ways that improve existing thermal management techniques with prioritization on fuel efficiency. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=thermal%20management" title="thermal management">thermal management</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20transmission" title=" automatic transmission"> automatic transmission</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid" title=" hybrid"> hybrid</a>, <a href="https://publications.waset.org/abstracts/search?q=and%20systematic%20approach" title=" and systematic approach"> and systematic approach</a> </p> <a href="https://publications.waset.org/abstracts/26757/systems-approach-on-thermal-analysis-of-an-automatic-transmission" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26757.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">378</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">895</span> Automatic Battery Charging for Rotor Wings Type Unmanned Aerial Vehicle</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jeyeon%20Kim">Jeyeon Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper describes the development of the automatic battery charging device for the rotor wings type unmanned aerial vehicle (UAV) and the positioning method that can be accurately landed on the charging device when landing. The developed automatic battery charging device is considered by simple maintenance, durability, cost and error of the positioning when landing. In order to for the UAV accurately land on the charging device, two kinds of markers (a color marker and a light marker) installed on the charging device is detected by the camera mounted on the UAV. And then, the UAV is controlled so that the detected marker becomes the center of the image and is landed on the device. We conduct the performance evaluation of the proposal positioning method by the outdoor experiments at day and night, and show the effectiveness of the system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=unmanned%20aerial%20vehicle" title="unmanned aerial vehicle">unmanned aerial vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20battery%20charging" title=" automatic battery charging"> automatic battery charging</a>, <a href="https://publications.waset.org/abstracts/search?q=positioning" title=" positioning"> positioning</a> </p> <a href="https://publications.waset.org/abstracts/71183/automatic-battery-charging-for-rotor-wings-type-unmanned-aerial-vehicle" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71183.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">364</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">894</span> Automatic Extraction of Water Bodies Using Whole-R Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nikhat%20Nawaz">Nikhat Nawaz</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Srinivasulu"> S. Srinivasulu</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Kesava%20Rao"> P. Kesava Rao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Feature extraction plays an important role in many remote sensing applications. Automatic extraction of water bodies is of great significance in many remote sensing applications like change detection, image retrieval etc. This paper presents a procedure for automatic extraction of water information from remote sensing images. The algorithm uses the relative location of R-colour component of the chromaticity diagram. This method is then integrated with the effectiveness of the spatial scale transformation of whole method. The whole method is based on water index fitted from spectral library. Experimental results demonstrate the improved accuracy and effectiveness of the integrated method for automatic extraction of water bodies. <p class="card-text"><strong>Keywords:</strong> <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=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20retrieval" title=" image retrieval"> image retrieval</a>, <a href="https://publications.waset.org/abstracts/search?q=chromaticity" title=" chromaticity"> chromaticity</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20index" title=" water index"> water index</a>, <a href="https://publications.waset.org/abstracts/search?q=spectral%20library" title=" spectral library"> spectral library</a>, <a href="https://publications.waset.org/abstracts/search?q=integrated%20method" title=" integrated method "> integrated method </a> </p> <a href="https://publications.waset.org/abstracts/2097/automatic-extraction-of-water-bodies-using-whole-r-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2097.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">386</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">893</span> Automatic Vehicle Detection Using Circular Synthetic Aperture Radar Image</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Leping%20Chen">Leping Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Daoxiang%20An"> Daoxiang An</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaotao%20Huang"> Xiaotao Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Automatic vehicle detection using synthetic aperture radar (SAR) image has been widely researched, as well as using optical remote sensing images. However, most researches treat the detection as an independent problem, failing to make full use of SAR data information. In circular SAR (CSAR), the two long borders of vehicle will shrink if the imaging surface is set higher than the reference one. Based on above variance, an automatic vehicle detection using CSAR image is proposed to enhance detection ability under complex environment, such as vehicles’ closely packing, which confuses the detector. The detection method uses the multiple images generated by different height plane to obtain an energy-concentrated image for detecting and then uses the maximally stable extremal regions method (MSER) to detect vehicles. A result of vehicles’ detection is given to verify the effectiveness and correctness of proposed method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=circular%20SAR" title="circular SAR">circular SAR</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=automatic" title=" automatic"> automatic</a>, <a href="https://publications.waset.org/abstracts/search?q=imaging" title=" imaging"> imaging</a> </p> <a href="https://publications.waset.org/abstracts/84548/automatic-vehicle-detection-using-circular-synthetic-aperture-radar-image" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84548.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">892</span> Analysis of The Effect about Different Automatic Sprinkler System Extinguishing The Scooter Fire in Underground Parking Space</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yu-Hsiu%20%20Li">Yu-Hsiu Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Chun-Hsun%20%20Chen"> Chun-Hsun Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Analysis of automatic sprinkler system protects the scooter in underground parking space, the current of general buildings is mainly equipped with foam fire-extinguishing equipment in Taiwan, the automatic sprinkling system has economic and environmental benefits, even high stability, China and the United States allow the parking space to set the automatic sprinkler system under certain conditions. The literature about scooter full-scale fire indicates that the average fire growth coefficient is 0.19 KW/sec2, it represents the scooter fire is classified as ultra-fast time square fire growth model, automatic sprinkler system can suppress the flame height and prevent extending burning. According to the computer simulation (FDS) literature, no matter computer simulation or full-scale experiments, the active order and trend about sprinkler heads are the same. This study uses the computer simulation program (FDS), the simulation scenario designed includes using a different system (enclosed wet type and open type), and different configurations. The simulation result demonstrates that the open type requires less time to extinguish the fire than the enclosed wet type if the horizontal distance between the sprinkler and the scooter ignition source is short, the sprinkler can act quickly, the heat release rate of fire can be suppressed in advance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automatic%20sprinkler%20system" title="automatic sprinkler system">automatic sprinkler system</a>, <a href="https://publications.waset.org/abstracts/search?q=underground%20parking%20Spac" title=" underground parking Spac"> underground parking Spac</a>, <a href="https://publications.waset.org/abstracts/search?q=FDS" title=" FDS"> FDS</a>, <a href="https://publications.waset.org/abstracts/search?q=scooter%20fire%20extinguishing" title=" scooter fire extinguishing"> scooter fire extinguishing</a> </p> <a href="https://publications.waset.org/abstracts/120646/analysis-of-the-effect-about-different-automatic-sprinkler-system-extinguishing-the-scooter-fire-in-underground-parking-space" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/120646.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">142</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">891</span> Effect of Manual Compacting and Semi-Automatic Compacting on Behavior of Stabilized Earth Concrete</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sihem%20Chaibeddra">Sihem Chaibeddra</a>, <a href="https://publications.waset.org/abstracts/search?q=Fattoum%20Kharchi"> Fattoum Kharchi</a>, <a href="https://publications.waset.org/abstracts/search?q=Fahim%20Kahlouche"> Fahim Kahlouche</a>, <a href="https://publications.waset.org/abstracts/search?q=Youcef%20Benna"> Youcef Benna </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the recent years, a considerable level of interest has been developed on the use of earth in construction, led by its rediscovery as an environmentally building material. The Stabilized Earth Concrete (SEC) is a good alternative to the cement concrete, thanks to its thermal and moisture regulating features. Many parameters affect the behavior of stabilized earth concrete. This article presents research results related to the influence of the compacting nature on some SEC properties namely: The mechanical behavior, capillary absorption, shrinkage and sustainability to water erosion, and this, basing on two types of compacting: Manual and semi-automatic. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=behavior" title="behavior">behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=compacting" title=" compacting"> compacting</a>, <a href="https://publications.waset.org/abstracts/search?q=manual" title=" manual"> manual</a>, <a href="https://publications.waset.org/abstracts/search?q=SEC" title=" SEC"> SEC</a>, <a href="https://publications.waset.org/abstracts/search?q=semi-automatic" title=" semi-automatic"> semi-automatic</a> </p> <a href="https://publications.waset.org/abstracts/45931/effect-of-manual-compacting-and-semi-automatic-compacting-on-behavior-of-stabilized-earth-concrete" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45931.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">361</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">890</span> Intelligent Software Architecture and Automatic Re-Architecting Based on Machine Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gebremeskel%20Hagos%20Gebremedhin">Gebremeskel Hagos Gebremedhin</a>, <a href="https://publications.waset.org/abstracts/search?q=Feng%20Chong"> Feng Chong</a>, <a href="https://publications.waset.org/abstracts/search?q=Heyan%20Huang"> Heyan Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Software system is the combination of architecture and organized components to accomplish a specific function or set of functions. A good software architecture facilitates application system development, promotes achievement of functional requirements, and supports system reconfiguration. We describe three studies demonstrating the utility of our architecture in the subdomain of mobile office robots and identify software engineering principles embodied in the architecture. The main aim of this paper is to analyze prove architecture design and automatic re-architecting using machine learning. Intelligence software architecture and automatic re-architecting process is reorganizing in to more suitable one of the software organizational structure system using the user access dataset for creating relationship among the components of the system. The 3-step approach of data mining was used to analyze effective recovery, transformation and implantation with the use of clustering algorithm. Therefore, automatic re-architecting without changing the source code is possible to solve the software complexity problem and system software reuse. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=intelligence" title="intelligence">intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=software%20architecture" title=" software architecture"> software architecture</a>, <a href="https://publications.waset.org/abstracts/search?q=re-architecting" title=" re-architecting"> re-architecting</a>, <a href="https://publications.waset.org/abstracts/search?q=software%20reuse" title=" software reuse"> software reuse</a>, <a href="https://publications.waset.org/abstracts/search?q=High%20level%20design" title=" High level design"> High level design</a> </p> <a href="https://publications.waset.org/abstracts/159825/intelligent-software-architecture-and-automatic-re-architecting-based-on-machine-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159825.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">119</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">889</span> Practical Approach to Development Automated System of Record Research Results Architectural Cultural Heritage Objects Island-Town Sviyazhsk</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Timur%20R.%20Azizov">Timur R. Azizov</a>, <a href="https://publications.waset.org/abstracts/search?q=Eugenia%20F.%20Shaykhutdinova"> Eugenia F. Shaykhutdinova</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayrat%20G.%20Sitdikov"> Ayrat G. Sitdikov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this article, we consider problems of automatic research result analysis and current monitoring of cultural legacy objects in island-city Sviyazhsk. We make basic concept of creating Automatic system, including developing the knowledge library with all conditions of three historical objects. In addition, we made described process of developing Automatic system of research result analysis of cultural legacy objects in island-city Sviyazhsk. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automated%20system" title="automated system">automated system</a>, <a href="https://publications.waset.org/abstracts/search?q=record" title=" record"> record</a>, <a href="https://publications.waset.org/abstracts/search?q=results%20of%20research" title=" results of research"> results of research</a>, <a href="https://publications.waset.org/abstracts/search?q=unity3D" title=" unity3D"> unity3D</a>, <a href="https://publications.waset.org/abstracts/search?q=ASP%20.NET" title=" ASP .NET"> ASP .NET</a> </p> <a href="https://publications.waset.org/abstracts/41441/practical-approach-to-development-automated-system-of-record-research-results-architectural-cultural-heritage-objects-island-town-sviyazhsk" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41441.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">245</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">888</span> Review of the Software Used for 3D Volumetric Reconstruction of the Liver</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=P.%20Strakos">P. Strakos</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Jaros"> M. Jaros</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Karasek"> T. Karasek</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Kozubek"> T. Kozubek</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Vavra"> P. Vavra</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Jonszta"> T. Jonszta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In medical imaging, segmentation of different areas of human body like bones, organs, tissues, etc. is an important issue. Image segmentation allows isolating the object of interest for further processing that can lead for example to 3D model reconstruction of whole organs. Difficulty of this procedure varies from trivial for bones to quite difficult for organs like liver. The liver is being considered as one of the most difficult human body organ to segment. It is mainly for its complexity, shape versatility and proximity of other organs and tissues. Due to this facts usually substantial user effort has to be applied to obtain satisfactory results of the image segmentation. Process of image segmentation then deteriorates from automatic or semi-automatic to fairly manual one. In this paper, overview of selected available software applications that can handle semi-automatic image segmentation with further 3D volume reconstruction of human liver is presented. The applications are being evaluated based on the segmentation results of several consecutive DICOM images covering the abdominal area of the human body. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=image%20segmentation" title="image segmentation">image segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=semi-automatic" title=" semi-automatic"> semi-automatic</a>, <a href="https://publications.waset.org/abstracts/search?q=software" title=" software"> software</a>, <a href="https://publications.waset.org/abstracts/search?q=3D%20volumetric%20reconstruction" title=" 3D volumetric reconstruction"> 3D volumetric reconstruction</a> </p> <a href="https://publications.waset.org/abstracts/23701/review-of-the-software-used-for-3d-volumetric-reconstruction-of-the-liver" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23701.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">290</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">887</span> Combined Automatic Speech Recognition and Machine Translation in Business Correspondence Domain for English-Croatian</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sanja%20Seljan">Sanja Seljan</a>, <a href="https://publications.waset.org/abstracts/search?q=Ivan%20Dun%C4%91er"> Ivan Dunđer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper presents combined automatic speech recognition (ASR) for English and machine translation (MT) for English and Croatian in the domain of business correspondence. The first part presents results of training the ASR commercial system on two English data sets, enriched by error analysis. The second part presents results of machine translation performed by online tool Google Translate for English and Croatian and Croatian-English language pairs. Human evaluation in terms of usability is conducted and internal consistency calculated by Cronbach's alpha coefficient, enriched by error analysis. Automatic evaluation is performed by WER (Word Error Rate) and PER (Position-independent word Error Rate) metrics, followed by investigation of Pearson’s correlation with human evaluation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automatic%20machine%20translation" title="automatic machine translation">automatic machine translation</a>, <a href="https://publications.waset.org/abstracts/search?q=integrated%20language%20technologies" title=" integrated language technologies"> integrated language technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20evaluation" title=" quality evaluation"> quality evaluation</a>, <a href="https://publications.waset.org/abstracts/search?q=speech%20recognition" title=" speech recognition"> speech recognition</a> </p> <a href="https://publications.waset.org/abstracts/11845/combined-automatic-speech-recognition-and-machine-translation-in-business-correspondence-domain-for-english-croatian" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11845.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">484</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">886</span> Secure Automatic Key SMS Encryption Scheme Using Hybrid Cryptosystem: An Approach for One Time Password Security Enhancement</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pratama%20R.%20Yunia">Pratama R. Yunia</a>, <a href="https://publications.waset.org/abstracts/search?q=Firmansyah"> Firmansyah</a>, <a href="https://publications.waset.org/abstracts/search?q=I."> I.</a>, <a href="https://publications.waset.org/abstracts/search?q=Ariani"> Ariani</a>, <a href="https://publications.waset.org/abstracts/search?q=Ulfa%20R.%20Maharani"> Ulfa R. Maharani</a>, <a href="https://publications.waset.org/abstracts/search?q=Fikri%20M.%20Al"> Fikri M. Al</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, notwithstanding that the role of SMS as a means of communication has been largely replaced by online applications such as WhatsApp, Telegram, and others, the fact that SMS is still used for certain and important communication needs is indisputable. Among them is for sending one time password (OTP) as an authentication media for various online applications ranging from chatting, shopping to online banking applications. However, the usage of SMS does not pretty much guarantee the security of transmitted messages. As a matter of fact, the transmitted messages between BTS is still in the form of plaintext, making it extremely vulnerable to eavesdropping, especially if the message is confidential, for instance, the OTP. One solution to overcome this problem is to use an SMS application which provides security services for each transmitted message. Responding to this problem, in this study, an automatic key SMS encryption scheme was designed as a means to secure SMS communication. The proposed scheme allows SMS sending, which is automatically encrypted with keys that are constantly changing (automatic key update), automatic key exchange, and automatic key generation. In terms of the security method, the proposed scheme applies cryptographic techniques with a hybrid cryptosystem mechanism. Proofing the proposed scheme, a client to client SMS encryption application was developed using Java platform with AES-256 as encryption algorithm, RSA-768 as public and private key generator and SHA-256 for message hashing function. The result of this study is a secure automatic key SMS encryption scheme using hybrid cryptosystem which can guarantee the security of every transmitted message, so as to become a reliable solution in sending confidential messages through SMS although it still has weaknesses in terms of processing time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=encryption%20scheme" title="encryption scheme">encryption scheme</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20cryptosystem" title=" hybrid cryptosystem"> hybrid cryptosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=one%20time%20password" title=" one time password"> one time password</a>, <a href="https://publications.waset.org/abstracts/search?q=SMS%20security" title=" SMS security"> SMS security</a> </p> <a href="https://publications.waset.org/abstracts/118902/secure-automatic-key-sms-encryption-scheme-using-hybrid-cryptosystem-an-approach-for-one-time-password-security-enhancement" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/118902.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">129</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">885</span> Toward Automatic Chest CT Image Segmentation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Angely%20Sim%20Jia%20Wun">Angely Sim Jia Wun</a>, <a href="https://publications.waset.org/abstracts/search?q=Sasa%20Arsovski"> Sasa Arsovski</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Numerous studies have been conducted on the segmentation of medical images. Segmenting the lungs is one of the common research topics in those studies. Our research stemmed from the lack of solutions for automatic bone, airway, and vessel segmentation, despite the existence of multiple lung segmentation techniques. Consequently, currently, available software tools used for medical image segmentation do not provide automatic lung, bone, airway, and vessel segmentation. This paper presents segmentation techniques along with an interactive software tool architecture for segmenting bone, lung, airway, and vessel tissues. Additionally, we propose a method for creating binary masks from automatically generated segments. The key contribution of our approach is the technique for automatic image thresholding using adjustable Hounsfield values and binary mask extraction. Generated binary masks can be successfully used as a training dataset for deep-learning solutions in medical image segmentation. In this paper, we also examine the current software tools used for medical image segmentation, discuss our approach, and identify its advantages. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=lung%20segmentation" title="lung segmentation">lung segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=binary%20masks" title=" binary masks"> binary masks</a>, <a href="https://publications.waset.org/abstracts/search?q=U-Net" title=" U-Net"> U-Net</a>, <a href="https://publications.waset.org/abstracts/search?q=medical%20software%20tools" title=" medical software tools"> medical software tools</a> </p> <a href="https://publications.waset.org/abstracts/168342/toward-automatic-chest-ct-image-segmentation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168342.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">98</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">884</span> Video Based Automatic License Plate Recognition System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ali%20Ganoun">Ali Ganoun</a>, <a href="https://publications.waset.org/abstracts/search?q=Wesam%20Algablawi"> Wesam Algablawi</a>, <a href="https://publications.waset.org/abstracts/search?q=Wasim%20BenAnaif"> Wasim BenAnaif </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Video based traffic surveillance based on License Plate Recognition (LPR) system is an essential part for any intelligent traffic management system. The LPR system utilizes computer vision and pattern recognition technologies to obtain trafﬁc and road information by detecting and recognizing vehicles based on their license plates. Generally, the video based LPR system is a challenging area of research due to the variety of environmental conditions. The LPR systems used in a wide range of commercial applications such as collision warning systems, finding stolen cars, controlling access to car parks and automatic congestion charge systems. This paper presents an automatic LPR system of Libyan license plate. The performance of the proposed system is evaluated with three video sequences. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=license%20plate%20recognition" title="license plate recognition">license plate recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=localization" title=" localization"> localization</a>, <a href="https://publications.waset.org/abstracts/search?q=segmentation" title=" segmentation"> segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=recognition" title=" recognition"> recognition</a> </p> <a href="https://publications.waset.org/abstracts/9958/video-based-automatic-license-plate-recognition-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9958.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">883</span> Design and Performance Optimization of Isostatic Pressing Working Cylinder Automatic Exhaust Valve</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wei-Zhao">Wei-Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Yannian-Bao"> Yannian-Bao</a>, <a href="https://publications.waset.org/abstracts/search?q=Xing-Fan"> Xing-Fan</a>, <a href="https://publications.waset.org/abstracts/search?q=Lei-Cao"> Lei-Cao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An isostatic pressing working cylinder automatic exhaust valve is designed. The finite element models of valve core and valve body under ultra-high pressure work environment are built to study the influence of interact of valve core and valve body to sealing performance. The contact stresses of metal sealing surface with different sizes are calculated and the automatic exhaust valve is optimized. The result of simulation and experiment shows that the sealing of optimized exhaust valve is more reliable and the service life is greatly improved. The optimized exhaust valve has been used in the warm isostatic pressing equipment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=exhaust%20valve" title="exhaust valve">exhaust valve</a>, <a href="https://publications.waset.org/abstracts/search?q=sealing" title=" sealing"> sealing</a>, <a href="https://publications.waset.org/abstracts/search?q=ultra-high%20pressure" title=" ultra-high pressure"> ultra-high pressure</a>, <a href="https://publications.waset.org/abstracts/search?q=isostatic%20pressing" title=" isostatic pressing"> isostatic pressing</a> </p> <a href="https://publications.waset.org/abstracts/9081/design-and-performance-optimization-of-isostatic-pressing-working-cylinder-automatic-exhaust-valve" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9081.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">308</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">882</span> Semi-Automatic Segmentation of Mitochondria on Transmission Electron Microscopy Images Using Live-Wire and Surface Dragging Methods</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahdieh%20Farzin%20Asanjan">Mahdieh Farzin Asanjan</a>, <a href="https://publications.waset.org/abstracts/search?q=Erkan%20Unal%20Mumcuoglu"> Erkan Unal Mumcuoglu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Mitochondria are cytoplasmic organelles of the cell, which have a significant role in the variety of cellular metabolic functions. Mitochondria act as the power plants of the cell and are surrounded by two membranes. Significant morphological alterations are often due to changes in mitochondrial functions. A powerful technique in order to study the three-dimensional (3D) structure of mitochondria and its alterations in disease states is Electron microscope tomography. Detection of mitochondria in electron microscopy images due to the presence of various subcellular structures and imaging artifacts is a challenging problem. Another challenge is that each image typically contains more than one mitochondrion. Hand segmentation of mitochondria is tedious and time-consuming and also special knowledge about the mitochondria is needed. Fully automatic segmentation methods lead to over-segmentation and mitochondria are not segmented properly. Therefore, semi-automatic segmentation methods with minimum manual effort are required to edit the results of fully automatic segmentation methods. Here two editing tools were implemented by applying spline surface dragging and interactive live-wire segmentation tools. These editing tools were applied separately to the results of fully automatic segmentation. 3D extension of these tools was also studied and tested. Dice coefficients of 2D and 3D for surface dragging using splines were 0.93 and 0.92. This metric for 2D and 3D for live-wire method were 0.94 and 0.91 respectively. The root mean square symmetric surface distance values of 2D and 3D for surface dragging was measured as 0.69, 0.93. The same metrics for live-wire tool were 0.60 and 2.11. Comparing the results of these editing tools with the results of automatic segmentation method, it shows that these editing tools, led to better results and these results were more similar to ground truth image but the required time was higher than hand-segmentation time <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=medical%20image%20segmentation" title="medical image segmentation">medical image segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=semi-automatic%20methods" title=" semi-automatic methods"> semi-automatic methods</a>, <a href="https://publications.waset.org/abstracts/search?q=transmission%20electron%20microscopy" title=" transmission electron microscopy"> transmission electron microscopy</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20dragging%20using%20splines" title=" surface dragging using splines"> surface dragging using splines</a>, <a href="https://publications.waset.org/abstracts/search?q=live-wire" title=" live-wire"> live-wire</a> </p> <a href="https://publications.waset.org/abstracts/85965/semi-automatic-segmentation-of-mitochondria-on-transmission-electron-microscopy-images-using-live-wire-and-surface-dragging-methods" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85965.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">169</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">881</span> Performance Evaluation of Contemporary Classifiers for Automatic Detection of Epileptic EEG</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20E.%20Ch.%20Vidyasagar">K. E. Ch. Vidyasagar</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Moghavvemi"> M. Moghavvemi</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20S.%20S.%20T.%20Prabhat"> T. S. S. T. Prabhat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Epilepsy is a global problem, and with seizures eluding even the smartest of diagnoses a requirement for automatic detection of the same using electroencephalogram (EEG) would have a huge impact in diagnosis of the disorder. Among a multitude of methods for automatic epilepsy detection, one should find the best method out, based on accuracy, for classification. This paper reasons out, and rationalizes, the best methods for classification. Accuracy is based on the classifier, and thus this paper discusses classifiers like quadratic discriminant analysis (QDA), classification and regression tree (CART), support vector machine (SVM), naive Bayes classifier (NBC), linear discriminant analysis (LDA), K-nearest neighbor (KNN) and artificial neural networks (ANN). Results show that ANN is the most accurate of all the above stated classifiers with 97.7% accuracy, 97.25% specificity and 98.28% sensitivity in its merit. This is followed closely by SVM with 1% variation in result. These results would certainly help researchers choose the best classifier for detection of epilepsy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=classification" title="classification">classification</a>, <a href="https://publications.waset.org/abstracts/search?q=seizure" title=" seizure"> seizure</a>, <a href="https://publications.waset.org/abstracts/search?q=KNN" title=" KNN"> KNN</a>, <a href="https://publications.waset.org/abstracts/search?q=SVM" title=" SVM"> SVM</a>, <a href="https://publications.waset.org/abstracts/search?q=LDA" title=" LDA"> LDA</a>, <a href="https://publications.waset.org/abstracts/search?q=ANN" title=" ANN"> ANN</a>, <a href="https://publications.waset.org/abstracts/search?q=epilepsy" title=" epilepsy"> epilepsy</a> </p> <a href="https://publications.waset.org/abstracts/14692/performance-evaluation-of-contemporary-classifiers-for-automatic-detection-of-epileptic-eeg" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14692.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">521</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">880</span> An Adaptive CFAR Algorithm Based on Automatic Censoring in Heterogeneous Environments</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Naime%20Boudemagh">Naime Boudemagh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work, we aim to improve the detection performances of radar systems. To this end, we propose and analyze a novel censoring technique of undesirable samples, of priori unknown positions, that may be present in the environment under investigation. Therefore, we consider heterogeneous backgrounds characterized by the presence of some irregularities such that clutter edge transitions and/or interfering targets. The proposed detector, termed automatic censoring constant false alarm (AC-CFAR), operates exclusively in a Gaussian background. It is built to allow the segmentation of the environment to regions and switch automatically to the appropriate detector; namely, the cell averaging CFAR (CA-CFAR), the censored mean level CFAR (CMLD-CFAR) or the order statistic CFAR (OS-CFAR). Monte Carlo simulations show that the AC-CFAR detector performs like the CA-CFAR in a homogeneous background. Moreover, the proposed processor exhibits considerable robustness in a heterogeneous background. <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=automatic%20censoring" title=" automatic censoring"> automatic censoring</a>, <a href="https://publications.waset.org/abstracts/search?q=heterogeneous%20environments" title=" heterogeneous environments"> heterogeneous environments</a>, <a href="https://publications.waset.org/abstracts/search?q=radar%20systems" title=" radar systems"> radar systems</a> </p> <a href="https://publications.waset.org/abstracts/28302/an-adaptive-cfar-algorithm-based-on-automatic-censoring-in-heterogeneous-environments" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28302.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">602</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">879</span> Computer-Aided Detection of Liver and Spleen from CT Scans using Watershed Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Belgherbi%20Aicha">Belgherbi Aicha</a>, <a href="https://publications.waset.org/abstracts/search?q=Bessaid%20Abdelhafid"> Bessaid Abdelhafid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the recent years a great deal of research work has been devoted to the development of semi-automatic and automatic techniques for the analysis of abdominal CT images. The first and fundamental step in all these studies is the semi-automatic liver and spleen segmentation that is still an open problem. In this paper, a semi-automatic liver and spleen segmentation method by the mathematical morphology based on watershed algorithm has been proposed. Our algorithm is currency in two parts. In the first, we seek to determine the region of interest by applying the morphological to extract the liver and spleen. The second step consists to improve the quality of the image gradient. In this step, we propose a method for improving the image gradient to reduce the over-segmentation problem by applying the spatial filters followed by the morphological filters. Thereafter we proceed to the segmentation of the liver, spleen. The aim of this work is to develop a method for semi-automatic segmentation liver and spleen based on watershed algorithm, improve the accuracy and the robustness of the liver and spleen segmentation and evaluate a new semi-automatic approach with the manual for liver segmentation. To validate the segmentation technique proposed, we have tested it on several images. Our segmentation approach is evaluated by comparing our results with the manual segmentation performed by an expert. The experimental results are described in the last part of this work. The system has been evaluated by computing the sensitivity and specificity between the semi-automatically segmented (liver and spleen) contour and the manually contour traced by radiological experts. Liver segmentation has achieved the sensitivity and specificity; sens Liver=96% and specif Liver=99% respectively. Spleen segmentation achieves similar, promising results sens Spleen=95% and specif Spleen=99%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CT%20images" title="CT images">CT images</a>, <a href="https://publications.waset.org/abstracts/search?q=liver%20and%20spleen%20segmentation" title=" liver and spleen segmentation"> liver and spleen segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=anisotropic%20diffusion%20filter" title=" anisotropic diffusion filter"> anisotropic diffusion filter</a>, <a href="https://publications.waset.org/abstracts/search?q=morphological%20filters" title=" morphological filters"> morphological filters</a>, <a href="https://publications.waset.org/abstracts/search?q=watershed%20algorithm" title=" watershed algorithm"> watershed algorithm</a> </p> <a href="https://publications.waset.org/abstracts/7381/computer-aided-detection-of-liver-and-spleen-from-ct-scans-using-watershed-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7381.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">325</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">878</span> Automatic Tofu Stick Cutter to Increase the Production Capacity of Small and Medium Enterprises</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chaca%20Nugraha%20Zaid">Chaca Nugraha Zaid</a>, <a href="https://publications.waset.org/abstracts/search?q=Hikmat%20Ronaldo"> Hikmat Ronaldo</a>, <a href="https://publications.waset.org/abstracts/search?q=Emerald%20Falah%20Brayoga"> Emerald Falah Brayoga</a>, <a href="https://publications.waset.org/abstracts/search?q=Azizah%20Eddy%20Setiawati"> Azizah Eddy Setiawati</a>, <a href="https://publications.waset.org/abstracts/search?q=Soviandini%20Dwiki%20Kartika%20Putri"> Soviandini Dwiki Kartika Putri</a>, <a href="https://publications.waset.org/abstracts/search?q=Novita%20Wijayanti"> Novita Wijayanti</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the tofu stick production, the manual cutting process takes a half of working day or 4 hours for 21 kg of tofu. This issue has hampered the small and medium enterprises (SMEs) to increase the capacity of production to fulfill the market demand. In order to address the issue, the cutting process should be automized to create fast, efficient, and effective tools. This innovation to tackle this problem is an automatic cutter tool that is able to move continuously to cut the tofu into stick size. The tool uses the 78,5-watt electric motor and automatic sensors to drive the cutting tool automatically, resulting faster process time with more uniform size compared to the manual cutter. The component of this tool, i.e., cutting knife and the driver, electric motor, limit switch sensors, riley, Arduino nano, and power supply. The cutting speed cutting speed of this tool is 101,25 mm/s producing 64 tofu sticks. Benefits that can be obtained from the use of automatic tofu stick cutter, i.e. (1) Faster process (2) More uniform cutting result; (3) The quality of the tofu stick is maintained due to minimal contact with humans so that contamination can be suppressed; (4) The cutting knife can be modified to the desired size of the owner. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automatic" title="automatic">automatic</a>, <a href="https://publications.waset.org/abstracts/search?q=cutter" title=" cutter"> cutter</a>, <a href="https://publications.waset.org/abstracts/search?q=small%20and%20medium%20enterprise" title=" small and medium enterprise"> small and medium enterprise</a>, <a href="https://publications.waset.org/abstracts/search?q=tofu%20stick" title=" tofu stick"> tofu stick</a> </p> <a href="https://publications.waset.org/abstracts/98000/automatic-tofu-stick-cutter-to-increase-the-production-capacity-of-small-and-medium-enterprises" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98000.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">167</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=automatic%20loom&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=automatic%20loom&page=3">3</a></li> <li class="page-item"><a class="page-link" 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