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<title>Volume 13, Issue 11 (2017) | Journal of Computer Science</title>
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    <title><![CDATA[Factors Influencing the Acceptance of Augmented Reality in Education: A Review of the Literature]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 2 December 2017; <a href="https://thescipub.com/jcs/jcssp.2017.581.589">doi:10.3844/jcssp.2017.581.589</a></p>This paper presents a review of user expectation towards Augmented Reality (AR) and the acceptance of AR for technology-enhanced teaching and learning. Augmented Reality is a technology that superimpo...]]></content:encoded>
    <dc:title><![CDATA[Factors Influencing the Acceptance of Augmented Reality in Education: A Review of the Literature]]></dc:title><dc:creator>Che Samihah Che Dalim</dc:creator><dc:creator>Hoshang  Kolivand</dc:creator><dc:creator>Huda  Kadhim</dc:creator><dc:creator>Mohd Shahrizal Sunar</dc:creator><dc:creator>Mark  Billinghurst</dc:creator><dc:identifier>doi:10.3844/jcssp.2017.581.589</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2017-12-02; | doi:10.3844/jcssp.2017.581.589</dc:source>
    <dc:date>2017-12-02</dc:date>
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    <title><![CDATA[Determination of SVM-RBF Kernel Space Parameter to Optimize Accuracy Value of Indonesian Batik Images Classification]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 23 October 2017; <a href="https://thescipub.com/jcs/jcssp.2017.590.599">doi:10.3844/jcssp.2017.590.599</a></p>Image retrieval using Support Vector Machine (SVM) classification verydepends on kernel function and parameter. Kernel function used by dot productsubstitution from old dimension feature to new dimens...]]></content:encoded>
    <dc:title><![CDATA[Determination of SVM-RBF Kernel Space Parameter to Optimize Accuracy Value of Indonesian Batik Images Classification]]></dc:title><dc:creator>Avinanta  Tarigan</dc:creator><dc:creator>Dewi  Agushinta</dc:creator><dc:creator>Adang  Suhendra</dc:creator><dc:creator>Fikri  Budiman</dc:creator><dc:identifier>doi:10.3844/jcssp.2017.590.599</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2017-10-23; | doi:10.3844/jcssp.2017.590.599</dc:source>
    <dc:date>2017-10-23</dc:date>
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    <title><![CDATA[The Implementation of Online Learning for Early Detection of Cervical Cancer]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 9 November 2017; <a href="https://thescipub.com/jcs/jcssp.2017.600.607">doi:10.3844/jcssp.2017.600.607</a></p>Cervical cancer is the second leading type of cancer causing death among women in Indonesia. The mortality rate caused by cervical cancer could be reduced through an early detection program, which wou...]]></content:encoded>
    <dc:title><![CDATA[The Implementation of Online Learning for Early Detection of Cervical Cancer]]></dc:title><dc:creator>Hery Harjono Muljo</dc:creator><dc:creator>Bens  Pardamean</dc:creator><dc:creator>Anzaludin Samsinga Perbangsa</dc:creator><dc:identifier>doi:10.3844/jcssp.2017.600.607</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2017-11-09; | doi:10.3844/jcssp.2017.600.607</dc:source>
    <dc:date>2017-11-09</dc:date>
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    <title><![CDATA[Cloud Based Low Cost Retinal Detachment Screening Method Using Data Mining Techniques]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 5 October 2017; <a href="https://thescipub.com/jcs/jcssp.2017.608.616">doi:10.3844/jcssp.2017.608.616</a></p>The Electro-Oculogram (EOG) signal can be used for detecting the normality of the eye retina.  A number of advantages including the flexibility of the recoding process for EOG signals have encouraged...]]></content:encoded>
    <dc:title><![CDATA[Cloud Based Low Cost Retinal Detachment Screening Method Using Data Mining Techniques]]></dc:title><dc:creator>Mahmoud A. Fakhreldin</dc:creator><dc:creator>Ahmed F. Seddik</dc:creator><dc:identifier>doi:10.3844/jcssp.2017.608.616</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2017-10-05; | doi:10.3844/jcssp.2017.608.616</dc:source>
    <dc:date>2017-10-05</dc:date>
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    <title><![CDATA[Comparing SMarty and PLUS for Variability Identification and Representation at Product-Line UML Class Level: A Controlled Quasi-Experiment]]></title>
    <link>https://thescipub.com/jcs/jcssp.2017.617.632</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 9 November 2017; <a href="https://thescipub.com/jcs/jcssp.2017.617.632">doi:10.3844/jcssp.2017.617.632</a></p>Although variability management is one of the main activities of software product lines, current literature provides almost no empirical evaluations on variability management approaches based on UML. ...]]></content:encoded>
    <dc:title><![CDATA[Comparing SMarty and PLUS for Variability Identification and Representation at Product-Line UML Class Level: A Controlled Quasi-Experiment]]></dc:title><dc:creator>Anderson  S. Marcolino</dc:creator><dc:creator>Edson  OliveiraJr</dc:creator><dc:identifier>doi:10.3844/jcssp.2017.617.632</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2017-11-09; | doi:10.3844/jcssp.2017.617.632</dc:source>
    <dc:date>2017-11-09</dc:date>
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    <title><![CDATA[Impact of the Smart City Architecture, Speed and Traffic Density of Vehicles on the Performances of Vanets]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 15 November 2017; <a href="https://thescipub.com/jcs/jcssp.2017.633.646">doi:10.3844/jcssp.2017.633.646</a></p>Vehicular Ad-hoc Networks (VANET) is one of the emerging and actual research fields in automotive companies and Intelligent Transportation Systems (ITS) designers. In the Smart City the presence of su...]]></content:encoded>
    <dc:title><![CDATA[Impact of the Smart City Architecture, Speed and Traffic Density of Vehicles on the Performances of Vanets]]></dc:title><dc:creator>Abdallah  Rhattoy</dc:creator><dc:creator>Mohamed  Lahmer</dc:creator><dc:creator>Idriss  Chana</dc:creator><dc:identifier>doi:10.3844/jcssp.2017.633.646</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2017-11-15; | doi:10.3844/jcssp.2017.633.646</dc:source>
    <dc:date>2017-11-15</dc:date>
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    <title><![CDATA[Processing Skyline Queries in Incomplete Database: Issues, Challenges and Future Trends]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 20 November 2017; <a href="https://thescipub.com/jcs/jcssp.2017.647.658">doi:10.3844/jcssp.2017.647.658</a></p>In many contemporary database applications such as multi-criteria decision-making and real-time decision-support applications, data mining, e-commerce and recommendation systems, users need query oper...]]></content:encoded>
    <dc:title><![CDATA[Processing Skyline Queries in Incomplete Database: Issues, Challenges and Future Trends]]></dc:title><dc:creator>Yonis  Gulzar</dc:creator><dc:creator>Ali A. Alwan</dc:creator><dc:creator>Norsaremah  Salleh</dc:creator><dc:creator>Imad Fakhri Al Shaikhli</dc:creator><dc:identifier>doi:10.3844/jcssp.2017.647.658</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2017-11-20; | doi:10.3844/jcssp.2017.647.658</dc:source>
    <dc:date>2017-11-20</dc:date>
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    <title><![CDATA[Modern Metaheuristic with Multi-Objective Formulation for the Variable Selection Problem]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 20 November 2017; <a href="https://thescipub.com/jcs/jcssp.2017.659.666">doi:10.3844/jcssp.2017.659.666</a></p>The development of efficient algorithms for variable selection becomes important to deal with large and complex datasets. Most works in quantitative chemical analysis have used Genetic Algorithms (GAs...]]></content:encoded>
    <dc:title><![CDATA[Modern Metaheuristic with Multi-Objective Formulation for the Variable Selection Problem]]></dc:title><dc:creator>Lauro Cassio Martins de Paula</dc:creator><dc:creator>Anderson da Silva Soares</dc:creator><dc:creator>Telma Woerle Soares</dc:creator><dc:creator>Anselmo Elcana de Oliveira</dc:creator><dc:creator>Clarimar José Coelho</dc:creator><dc:identifier>doi:10.3844/jcssp.2017.659.666</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2017-11-20; | doi:10.3844/jcssp.2017.659.666</dc:source>
    <dc:date>2017-11-20</dc:date>
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    <title><![CDATA[Image Binarization Using Block Boundary Pixels Mean]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 28 November 2017; <a href="https://thescipub.com/jcs/jcssp.2017.667.673">doi:10.3844/jcssp.2017.667.673</a></p>Input image pixels classification into two intensities like black and white as foreground and background respectively refers to image binarization. Binarization with a local threshold value is termed ...]]></content:encoded>
    <dc:title><![CDATA[Image Binarization Using Block Boundary Pixels Mean]]></dc:title><dc:creator>O. Imocha Singh</dc:creator><dc:creator>T. Romen Singh</dc:creator><dc:identifier>doi:10.3844/jcssp.2017.667.673</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2017-11-28; | doi:10.3844/jcssp.2017.667.673</dc:source>
    <dc:date>2017-11-28</dc:date>
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    <title><![CDATA[Prison Perimeter Surveillance System Using WSN]]></title>
    <link>https://thescipub.com/jcs/jcssp.2017.674.679</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 4 December 2017; <a href="https://thescipub.com/jcs/jcssp.2017.674.679">doi:10.3844/jcssp.2017.674.679</a></p>The aim of this paper is to introduce a prison hybrid surveillance system using two main technologies; Wireless Sensor Network (WSN) and Unmanned Aerial Vehicles (UAVs). The system consists of three t...]]></content:encoded>
    <dc:title><![CDATA[Prison Perimeter Surveillance System Using WSN]]></dc:title><dc:creator>Shereen  Ismail</dc:creator><dc:creator>Eman  Alkhader</dc:creator><dc:creator>Amal  Ahmad</dc:creator><dc:identifier>doi:10.3844/jcssp.2017.674.679</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2017-12-04; | doi:10.3844/jcssp.2017.674.679</dc:source>
    <dc:date>2017-12-04</dc:date>
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