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<title>Volume 10, Issue 10 (2014) | Journal of Computer Science</title>
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    <title><![CDATA[A COMPARATIVE STUDY FOR RHODOPSIN PROTEIN FOLDING PROBLEM]]></title>
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    <dc:title><![CDATA[A COMPARATIVE STUDY FOR RHODOPSIN PROTEIN FOLDING PROBLEM]]></dc:title><dc:creator>Iman Ahmed Mahmoud</dc:creator><dc:creator>Amr Ahmed Badr</dc:creator><dc:creator>Mostafa Abdel Azim</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.1890.1899</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-05-06; | doi:10.3844/jcssp.2014.1890.1899</dc:source>
    <dc:date>2014-05-06</dc:date>
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    <title><![CDATA[EXTENDED-RANDOMIZED, EFFICIENT, DISTRIBUTED: A DYNAMIC DETECTION OF CLONE ATTACKS IN STATIC WIRELESS SENSOR NETWORKS]]></title>
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    <dc:title><![CDATA[EXTENDED-RANDOMIZED, EFFICIENT, DISTRIBUTED: A DYNAMIC DETECTION OF CLONE ATTACKS IN STATIC WIRELESS SENSOR NETWORKS]]></dc:title><dc:creator>C.  Geetha</dc:creator><dc:creator>M.  Ramakrishnan</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.1900.1907</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-05-06; | doi:10.3844/jcssp.2014.1900.1907</dc:source>
    <dc:date>2014-05-06</dc:date>
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    <title><![CDATA[BRAIN TUMOR CLASSIFICATION BASED ON CLUSTERED DISCRETE COSINE TRANSFORM IN COMPRESSED DOMAIN]]></title>
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    <dc:title><![CDATA[BRAIN TUMOR CLASSIFICATION BASED ON CLUSTERED DISCRETE COSINE TRANSFORM IN COMPRESSED DOMAIN]]></dc:title><dc:creator>V.  Anitha</dc:creator><dc:creator>S.  Murugavalli</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.1908.1916</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-05-06; | doi:10.3844/jcssp.2014.1908.1916</dc:source>
    <dc:date>2014-05-06</dc:date>
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    <title><![CDATA[INFLUENCE OF EVOLUTIONARY COMPUTING ON NUTRITION RECOMMENDATION: A SURVEY]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.1917.1923</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 8 May 2014; <a href="https://thescipub.com/jcs/jcssp.2014.1917.1923">doi:10.3844/jcssp.2014.1917.1923</a></p>This study is a survey about how Evolutionary Computing doesn’t play its important role in a vital field such as Nutrition. Evolutionary computing is a subset from the artificial intelligence umbrel...]]></content:encoded>
    <dc:title><![CDATA[INFLUENCE OF EVOLUTIONARY COMPUTING ON NUTRITION RECOMMENDATION: A SURVEY]]></dc:title><dc:creator>A. A. Hegazy</dc:creator><dc:creator>M. A. Belal</dc:creator><dc:creator>S. A. AlFayoumi</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.1917.1923</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-05-08; | doi:10.3844/jcssp.2014.1917.1923</dc:source>
    <dc:date>2014-05-08</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.1917.1923</prism:doi>
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    <title><![CDATA[SOPC BASED WIRELESS REMOTE PATIENT MONITORING USING ULTRA LIGHTWEIGHT CRYPTOGRAPHY]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.1924.1928</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 8 May 2014; <a href="https://thescipub.com/jcs/jcssp.2014.1924.1928">doi:10.3844/jcssp.2014.1924.1928</a></p>Remote Patient Monitoring (RPM) provides flexible and powerful patient surveillance through wearable devices at anytime and anywhere. This can be achieved by using a Body Sensor Network (BSN), which i...]]></content:encoded>
    <dc:title><![CDATA[SOPC BASED WIRELESS REMOTE PATIENT MONITORING USING ULTRA LIGHTWEIGHT CRYPTOGRAPHY]]></dc:title><dc:creator>A.  Arun</dc:creator><dc:creator>P. Nirmal Kumar</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.1924.1928</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-05-08; | doi:10.3844/jcssp.2014.1924.1928</dc:source>
    <dc:date>2014-05-08</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.1924.1928</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.1929.1938">
    <title><![CDATA[METADATA DRIVEN EFFICIENT KEY GENERATION AND DISTRIBUTION IN CLOUD SECURITY]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.1929.1938</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 12 May 2014; <a href="https://thescipub.com/jcs/jcssp.2014.1929.1938">doi:10.3844/jcssp.2014.1929.1938</a></p>With rapid development of cloud computing to a greater extent IT industries outsource their sensitive data at cloud data storage location. To keep the stored data conﬁdential against untrusted cloud...]]></content:encoded>
    <dc:title><![CDATA[METADATA DRIVEN EFFICIENT KEY GENERATION AND DISTRIBUTION IN CLOUD SECURITY]]></dc:title><dc:creator>R.  Anitha</dc:creator><dc:creator>Saswati  Mukherjee</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.1929.1938</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-05-12; | doi:10.3844/jcssp.2014.1929.1938</dc:source>
    <dc:date>2014-05-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.1929.1938</prism:doi>
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    <title><![CDATA[AN EVENT DRIVEN SIMULATION FOR ADAPTIVE GENTLE RANDOM EARLY DETECTION (AGRED) ALGORITHM]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.1939.1945</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 13 May 2014; <a href="https://thescipub.com/jcs/jcssp.2014.1939.1945">doi:10.3844/jcssp.2014.1939.1945</a></p>Simulations are used to find optimum answers for problems in wide areas. Active queue management algorithms such as RED, GRED, typically use simulators like ns2 which is an open source simulator or OP...]]></content:encoded>
    <dc:title><![CDATA[AN EVENT DRIVEN SIMULATION FOR ADAPTIVE GENTLE RANDOM EARLY DETECTION (AGRED) ALGORITHM]]></dc:title><dc:creator>Omid  Seifaddini</dc:creator><dc:creator>Azizol  Abdullah</dc:creator><dc:creator>Shamala  Subramaniam</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.1939.1945</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-05-13; | doi:10.3844/jcssp.2014.1939.1945</dc:source>
    <dc:date>2014-05-13</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.1939.1945</prism:doi>
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    <title><![CDATA[OPTIMIZED INCIDENT MATCHING AND AUTO-MATED VERIFICATION OF COMPOSITION PAT-TERNS IN LONG TERM COMPOSED SERVICES]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.1946.1954</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 12 May 2014; <a href="https://thescipub.com/jcs/jcssp.2014.1946.1954">doi:10.3844/jcssp.2014.1946.1954</a></p>With the increase in the need and demand for evolving Web services, the rate at which changes are made to the services has increased. In case of importunate change requests, there arise critical situa...]]></content:encoded>
    <dc:title><![CDATA[OPTIMIZED INCIDENT MATCHING AND AUTO-MATED VERIFICATION OF COMPOSITION PAT-TERNS IN LONG TERM COMPOSED SERVICES]]></dc:title><dc:creator>M.  Thirumaran</dc:creator><dc:creator>M.  Jannani</dc:creator><dc:creator>P.  Dhavachelvan</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.1946.1954</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-05-12; | doi:10.3844/jcssp.2014.1946.1954</dc:source>
    <dc:date>2014-05-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.1946.1954</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.1955.1960">
    <title><![CDATA[PROCESS MAPPING FOR SERVICE DELIVERY THROUGH NSDG IN PUBLIC TRANSPORTATION IN INDIA]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.1955.1960</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 12 May 2014; <a href="https://thescipub.com/jcs/jcssp.2014.1955.1960">doi:10.3844/jcssp.2014.1955.1960</a></p>The involvement of e-Governance and Information and Communication Technology (ICT) in service delivery has been affecting every facet of governance. The public transportation sector is also enhancing ...]]></content:encoded>
    <dc:title><![CDATA[PROCESS MAPPING FOR SERVICE DELIVERY THROUGH NSDG IN PUBLIC TRANSPORTATION IN INDIA]]></dc:title><dc:creator>Sanjay K. Dwivedi</dc:creator><dc:creator>Ajay Kumar Bharti</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.1955.1960</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-05-12; | doi:10.3844/jcssp.2014.1955.1960</dc:source>
    <dc:date>2014-05-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.1955.1960</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.1955.1960</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.1961.1968">
    <title><![CDATA[A HYBRID METHOD USING LEXICON-BASED APPROACH AND NAIVE BAYES CLASSIFIER FOR ARABIC OPINION QUESTION ANSWERING]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.1961.1968</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 13 May 2014; <a href="https://thescipub.com/jcs/jcssp.2014.1961.1968">doi:10.3844/jcssp.2014.1961.1968</a></p>Opinion Question Answering (Opinion QA) is the task of enabling users to explore others opinions toward a particular service of product in order to make decisions. Arabic Opinion QA is more challengin...]]></content:encoded>
    <dc:title><![CDATA[A HYBRID METHOD USING LEXICON-BASED APPROACH AND NAIVE BAYES CLASSIFIER FOR ARABIC OPINION QUESTION ANSWERING]]></dc:title><dc:creator>Khalid  Khalifa</dc:creator><dc:creator>Nazlia  Omar</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.1961.1968</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-05-13; | doi:10.3844/jcssp.2014.1961.1968</dc:source>
    <dc:date>2014-05-13</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.1961.1968</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.1961.1968</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.1969.1976">
    <title><![CDATA[SUPERVISED TERM WEIGHTING METHODS FOR URL CLASSIFICATION]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.1969.1976</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 23 June 2014; <a href="https://thescipub.com/jcs/jcssp.2014.1969.1976">doi:10.3844/jcssp.2014.1969.1976</a></p>Many term weighting methods are suggested in the literature for Information Retrieval and Text Categorization. Term weighting method, a part of feature selection process is not yet explored for URL cl...]]></content:encoded>
    <dc:title><![CDATA[SUPERVISED TERM WEIGHTING METHODS FOR URL CLASSIFICATION]]></dc:title><dc:creator>R.  Rajalakshmi</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.1969.1976</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-06-23; | doi:10.3844/jcssp.2014.1969.1976</dc:source>
    <dc:date>2014-06-23</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.1969.1976</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.1969.1976</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.1977.1984">
    <title><![CDATA[CONSTRAINT SOVLING ENGINE BASED NURSE ROSTERING WITH INTELLIGENT BACKTRACKING]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.1977.1984</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 22 May 2014; <a href="https://thescipub.com/jcs/jcssp.2014.1977.1984">doi:10.3844/jcssp.2014.1977.1984</a></p>Efficient utilization of time and effort is essential in Personnel scheduling problems to evenly balance the workload among the people and attempt to satisfy the personnel preferences. In Constraint S...]]></content:encoded>
    <dc:title><![CDATA[CONSTRAINT SOVLING ENGINE BASED NURSE ROSTERING WITH INTELLIGENT BACKTRACKING]]></dc:title><dc:creator>S.  Chitrakala</dc:creator><dc:creator>S. P. Surendernath</dc:creator><dc:creator>R.  Priyatharshini</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.1977.1984</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-05-22; | doi:10.3844/jcssp.2014.1977.1984</dc:source>
    <dc:date>2014-05-22</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.1977.1984</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.1985.1993">
    <title><![CDATA[A NEW METHOD FOR 3D SHAPE INDEXING AND RETRIEVAL IN LARGE DATABASE BY USING THE LEVEL CUT]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.1985.1993</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 22 May 2014; <a href="https://thescipub.com/jcs/jcssp.2014.1985.1993">doi:10.3844/jcssp.2014.1985.1993</a></p>In this study, we propose a new method for indexing and retrieval of 3D models in large databases based on binary images extracted from the 3D object called &#34level cut&#34 LC. These cuts are obtain...]]></content:encoded>
    <dc:title><![CDATA[A NEW METHOD FOR 3D SHAPE INDEXING AND RETRIEVAL IN LARGE DATABASE BY USING THE LEVEL CUT]]></dc:title><dc:creator>A.  Lakehal</dc:creator><dc:creator>M.  Elkhal</dc:creator><dc:creator>K.  Satori</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.1985.1993</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-05-22; | doi:10.3844/jcssp.2014.1985.1993</dc:source>
    <dc:date>2014-05-22</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.1985.1993</prism:doi>
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    <title><![CDATA[TRACKING THE POSITION OF MULTIPLE HUMAN GESTURES USING CONTOUR MAPPING ALGORITHM]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.1994.2005</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 22 May 2014; <a href="https://thescipub.com/jcs/jcssp.2014.1994.2005">doi:10.3844/jcssp.2014.1994.2005</a></p>This study relates to a method for determining the position variation (for example a moving object, facial gesture tracking) using markers. The movement is determined based on the periodic frames capt...]]></content:encoded>
    <dc:title><![CDATA[TRACKING THE POSITION OF MULTIPLE HUMAN GESTURES USING CONTOUR MAPPING ALGORITHM]]></dc:title><dc:creator>T. S. Arulananth</dc:creator><dc:creator>T.  Jayasingh</dc:creator><dc:creator>S.  Ravi</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.1994.2005</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-05-22; | doi:10.3844/jcssp.2014.1994.2005</dc:source>
    <dc:date>2014-05-22</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.1994.2005</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.1994.2005</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2006.2019">
    <title><![CDATA[THE SECURITY SURVEY AND ANAYLSIS ON SUPERVISORY CONTROL AND DATA ACQUISITION COMMUNICATION]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2006.2019</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 23 June 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2006.2019">doi:10.3844/jcssp.2014.2006.2019</a></p>The SCADA system connectivity with several open networks using internet facility brought SCADA platform more vulnerable from attacks/threads. Therefore, the detail security review has been conducted, ...]]></content:encoded>
    <dc:title><![CDATA[THE SECURITY SURVEY AND ANAYLSIS ON SUPERVISORY CONTROL AND DATA ACQUISITION COMMUNICATION]]></dc:title><dc:creator>A.  Shahzad</dc:creator><dc:creator>S.  Musa</dc:creator><dc:creator>A.  Aborujilah</dc:creator><dc:creator>M.  Irfan</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2006.2019</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-06-23; | doi:10.3844/jcssp.2014.2006.2019</dc:source>
    <dc:date>2014-06-23</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2006.2019</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2006.2019</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2020.2028">
    <title><![CDATA[INVESTIGATION OF STUDENT&apos;S PERSONALITY ON PAIR PROGRAMMING TO ENHANCE THE LEARNING ACTIVITY IN THE ACADEMIA]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2020.2028</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 26 June 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2020.2028">doi:10.3844/jcssp.2014.2020.2028</a></p>Agile Software development is now a global phenomenon and is rapidly becoming organizations&apos; most preferred IT process. Extreme Programming (XP) is one of the Agile Methods and Collaborative Pai...]]></content:encoded>
    <dc:title><![CDATA[INVESTIGATION OF STUDENT&apos;S PERSONALITY ON PAIR PROGRAMMING TO ENHANCE THE LEARNING ACTIVITY IN THE ACADEMIA]]></dc:title><dc:creator>V.  Venkatesan</dc:creator><dc:creator>A.  Sankar</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2020.2028</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-06-26; | doi:10.3844/jcssp.2014.2020.2028</dc:source>
    <dc:date>2014-06-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2020.2028</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2020.2028</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2029.2036">
    <title><![CDATA[INTRUSION DETECTION SYSTEM IN SECURE SHELL TRAFFIC IN CLOUD ENVIRONMENT]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2029.2036</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 26 June 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2029.2036">doi:10.3844/jcssp.2014.2029.2036</a></p>Due to growth of Cloud computing usage, the need to apply encrypted protocols to provide confidentiality and integrity of data increases dramatically. Attacker can take advantage of these protocols to...]]></content:encoded>
    <dc:title><![CDATA[INTRUSION DETECTION SYSTEM IN SECURE SHELL TRAFFIC IN CLOUD ENVIRONMENT]]></dc:title><dc:creator>Mehdi  Barati</dc:creator><dc:creator>Azizol  Abdullah</dc:creator><dc:creator>NurIzura  Udzir</dc:creator><dc:creator>Mostafa  Behzadi</dc:creator><dc:creator>Ramlan  Mahmod</dc:creator><dc:creator>Norwati  Mustapha</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2029.2036</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-06-26; | doi:10.3844/jcssp.2014.2029.2036</dc:source>
    <dc:date>2014-06-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2029.2036</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2029.2036</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2037.2046">
    <title><![CDATA[REVIEW CLUSTERING MECHANISMS OF DISTRIBUTED DENIAL OF SERVICE ATTACKS]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2037.2046</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 26 June 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2037.2046">doi:10.3844/jcssp.2014.2037.2046</a></p>Distributed Denial of Service attacks (DDoS) overwhelm network resources with useless or harmful packets and prevent normal users from accessing these network resources. These attacks jeopardize the c...]]></content:encoded>
    <dc:title><![CDATA[REVIEW CLUSTERING MECHANISMS OF DISTRIBUTED DENIAL OF SERVICE ATTACKS]]></dc:title><dc:creator>Wesam  Bhaya</dc:creator><dc:creator>Mehdi Ebady Manaa</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2037.2046</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-06-26; | doi:10.3844/jcssp.2014.2037.2046</dc:source>
    <dc:date>2014-06-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2037.2046</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2037.2046</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2047.2054">
    <title><![CDATA[SENSOR NETWORK PERIODICAL DATA ASSEMBLY USING IMBALANCED CLUSTERING ENERGY EFFICIENT MECHANISM]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2047.2054</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 28 June 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2047.2054">doi:10.3844/jcssp.2014.2047.2054</a></p>Fast technical advances and development in wireless communication resulted in the huge consumption of wireless sensor networks. The nodes in these networks are ready to be sensed, processing the data ...]]></content:encoded>
    <dc:title><![CDATA[SENSOR NETWORK PERIODICAL DATA ASSEMBLY USING IMBALANCED CLUSTERING ENERGY EFFICIENT MECHANISM]]></dc:title><dc:creator>K.  Munusamy</dc:creator><dc:creator>R. M.S. Parvathi</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2047.2054</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-06-28; | doi:10.3844/jcssp.2014.2047.2054</dc:source>
    <dc:date>2014-06-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2047.2054</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2047.2054</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2055.2059">
    <title><![CDATA[CRITICAL SUCCESS FACTORS-BASED CONTENT MANAGEMENT SYSTEM DEVELOPMENT FOR SMALL AND MEDIUM SIZE ENTERPRISES]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2055.2059</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 27 June 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2055.2059">doi:10.3844/jcssp.2014.2055.2059</a></p>The purpose of this study is to compare the sales and visitor access traffic as a result of using critical success factors in an online car accessories store compared with online trading forums. The s...]]></content:encoded>
    <dc:title><![CDATA[CRITICAL SUCCESS FACTORS-BASED CONTENT MANAGEMENT SYSTEM DEVELOPMENT FOR SMALL AND MEDIUM SIZE ENTERPRISES]]></dc:title><dc:creator>Yulius  Lie</dc:creator><dc:creator>Bens  Pardamean</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2055.2059</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-06-27; | doi:10.3844/jcssp.2014.2055.2059</dc:source>
    <dc:date>2014-06-27</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2055.2059</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2055.2059</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2060.2076">
    <title><![CDATA[A FAST AND ACCURATE METHOD FOR AUTOMATIC CORONARY ARTERIAL TREE EXTRACTION IN ANGIOGRAMS]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2060.2076</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 27 June 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2060.2076">doi:10.3844/jcssp.2014.2060.2076</a></p>Coronary arterial tree extraction in angiograms is an essential component of each cardiac image processing system. Once physicians decide to check up coronary arteries from x-ray angiograms, extractio...]]></content:encoded>
    <dc:title><![CDATA[A FAST AND ACCURATE METHOD FOR AUTOMATIC CORONARY ARTERIAL TREE EXTRACTION IN ANGIOGRAMS]]></dc:title><dc:creator>Rohollah Moosavi Tayebi</dc:creator><dc:creator>Puteri Suhaiza Binti Sulaiman</dc:creator><dc:creator>Rahmita  Wirza</dc:creator><dc:creator>Mohd Zamrin Dimon</dc:creator><dc:creator>Suhaini  Kadiman</dc:creator><dc:creator>Fatimah  Khalid</dc:creator><dc:creator>Samaneh  Mazaheri</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2060.2076</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-06-27; | doi:10.3844/jcssp.2014.2060.2076</dc:source>
    <dc:date>2014-06-27</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2060.2076</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2060.2076</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2077.2087">
    <title><![CDATA[A MODIFIED ELLIPTIC CURVE DIGITAL SIGNATURE ALGORITHM FOR PUBLIC VERIFIABILITY WITH DATA DYNAMICS IN CLOUD COMPUTING]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2077.2087</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 28 June 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2077.2087">doi:10.3844/jcssp.2014.2077.2087</a></p>Cloud storage is considered to be the most critical factor in decision making for users as it largely scales down the infrastructure in terms of size, cost and design. Considering factors such as loca...]]></content:encoded>
    <dc:title><![CDATA[A MODIFIED ELLIPTIC CURVE DIGITAL SIGNATURE ALGORITHM FOR PUBLIC VERIFIABILITY WITH DATA DYNAMICS IN CLOUD COMPUTING]]></dc:title><dc:creator>D.  Sumathi</dc:creator><dc:creator>Ramachandra V. Pujeri</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2077.2087</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-06-28; | doi:10.3844/jcssp.2014.2077.2087</dc:source>
    <dc:date>2014-06-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2077.2087</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2077.2087</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2088.2094">
    <title><![CDATA[A LIGHT-WEIGHT CRYPTOGRAPHY ANALYSIS FOR WIRELESS BASED HEALTHCARE APPLICATIONS]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2088.2094</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 28 June 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2088.2094">doi:10.3844/jcssp.2014.2088.2094</a></p>Patient health monitoring devices are flexible. Powerful ECG acquisition system is used at anytime and anywhere in the patient monitoring system. The increasing feasibility and convenience of mobile h...]]></content:encoded>
    <dc:title><![CDATA[A LIGHT-WEIGHT CRYPTOGRAPHY ANALYSIS FOR WIRELESS BASED HEALTHCARE APPLICATIONS]]></dc:title><dc:creator>S.  Sangari</dc:creator><dc:creator>Martin Leo Manickam</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2088.2094</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-06-28; | doi:10.3844/jcssp.2014.2088.2094</dc:source>
    <dc:date>2014-06-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2088.2094</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2088.2094</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2095.2104">
    <title><![CDATA[IMAGE COMPRESSION BASED ON SVD AND MPQ-BTC]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2095.2104</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 30 June 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2095.2104">doi:10.3844/jcssp.2014.2095.2104</a></p>In this study we will provide a new way of images compression based on two mathematic concepts, these two concepts are Singular Value Decomposition (SVD) and Block Truncation Coding. The input image e...]]></content:encoded>
    <dc:title><![CDATA[IMAGE COMPRESSION BASED ON SVD AND MPQ-BTC]]></dc:title><dc:creator>Nidhal K. El Abbadi</dc:creator><dc:creator>Adil Al Rammahi</dc:creator><dc:creator>Dheiaa Shakir Redha</dc:creator><dc:creator>Mohammed  Abdul-Hameed</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2095.2104</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-06-30; | doi:10.3844/jcssp.2014.2095.2104</dc:source>
    <dc:date>2014-06-30</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2095.2104</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2095.2104</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2105.2116">
    <title><![CDATA[FREQUENT CORRELATED PERIODIC PATTERN MINING FOR LARGE VOLUME SET USING TIME SERIES DATA]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2105.2116</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 30 June 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2105.2116">doi:10.3844/jcssp.2014.2105.2116</a></p>Frequent pattern mining has been a widely used in the area of discovering association and correlations among real data sets. However, discovering interesting correlation relationship among huge number...]]></content:encoded>
    <dc:title><![CDATA[FREQUENT CORRELATED PERIODIC PATTERN MINING FOR LARGE VOLUME SET USING TIME SERIES DATA]]></dc:title><dc:creator>G. M. Karthik</dc:creator><dc:creator>S.  Karthik</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2105.2116</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-06-30; | doi:10.3844/jcssp.2014.2105.2116</dc:source>
    <dc:date>2014-06-30</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2105.2116</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2105.2116</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2117.2123">
    <title><![CDATA[BEEBOARD: FROM WIIMOTE TO INTERACTIVE WHITEBOARD APPLICATION FOR CLASSROOM]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2117.2123</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 1 July 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2117.2123">doi:10.3844/jcssp.2014.2117.2123</a></p>Teaching and learning process is the main factor in education. The use of whiteboard and marker while teaching is an essential media for delivering knowledge from a lecturer to students. In another si...]]></content:encoded>
    <dc:title><![CDATA[BEEBOARD: FROM WIIMOTE TO INTERACTIVE WHITEBOARD APPLICATION FOR CLASSROOM]]></dc:title><dc:creator>Budi  Yulianto</dc:creator><dc:creator>Lusiana Citra Dewi</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2117.2123</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-07-01; | doi:10.3844/jcssp.2014.2117.2123</dc:source>
    <dc:date>2014-07-01</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2117.2123</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2117.2123</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2124.2134">
    <title><![CDATA[PARALLEL IMPLEMENTATION OF EXPECTATION-MAXIMISATION ALGORITHM FOR THE TRAINING OF GAUSSIAN MIXTURE MODELS]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2124.2134</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 9 July 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2124.2134">doi:10.3844/jcssp.2014.2124.2134</a></p>Most machine learning algorithms need to handle large data sets. This feature often leads to limitations on processing time and memory. The Expectation-Maximization (EM) is one of such algorithms, whi...]]></content:encoded>
    <dc:title><![CDATA[PARALLEL IMPLEMENTATION OF EXPECTATION-MAXIMISATION ALGORITHM FOR THE TRAINING OF GAUSSIAN MIXTURE MODELS]]></dc:title><dc:creator>G. F. Araújo</dc:creator><dc:creator>H. T. Macedo</dc:creator><dc:creator>M. T. Chella</dc:creator><dc:creator>C. A.E. Montesco</dc:creator><dc:creator>M. V.O. Medeiros</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2124.2134</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-07-09; | doi:10.3844/jcssp.2014.2124.2134</dc:source>
    <dc:date>2014-07-09</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2124.2134</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2124.2134</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2135.2140">
    <title><![CDATA[A STUDY OF SPAM DETECTION ALGORITHM ON SOCIAL MEDIA NETWORKS]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2135.2140</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 8 July 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2135.2140">doi:10.3844/jcssp.2014.2135.2140</a></p>In today&apos;s world, the issue of identifying spammers has received increasing attention because of its practical relevance in the field of social network analysis. The growing popularity of social ...]]></content:encoded>
    <dc:title><![CDATA[A STUDY OF SPAM DETECTION ALGORITHM ON SOCIAL MEDIA NETWORKS]]></dc:title><dc:creator>Saini Jacob Soman</dc:creator><dc:creator>S.  Murugappan</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2135.2140</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-07-08; | doi:10.3844/jcssp.2014.2135.2140</dc:source>
    <dc:date>2014-07-08</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2135.2140</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2135.2140</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2141.2154">
    <title><![CDATA[IMPROVED INTERACTIVE METHOD FOR RECO-VERING 2.5D MODELS FROM SINGLE IMAGES]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2141.2154</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 9 July 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2141.2154">doi:10.3844/jcssp.2014.2141.2154</a></p>In the last years the development of interactive Computer-based methods for building virtual and physical 2.5D models from single shaded images faced with an exponential growth. In particular, a wide ...]]></content:encoded>
    <dc:title><![CDATA[IMPROVED INTERACTIVE METHOD FOR RECO-VERING 2.5D MODELS FROM SINGLE IMAGES]]></dc:title><dc:creator>Furferi  Rocco</dc:creator><dc:creator>Governi  Lapo</dc:creator><dc:creator>Puggelli  Luca</dc:creator><dc:creator>Yary  Volpe</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2141.2154</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-07-09; | doi:10.3844/jcssp.2014.2141.2154</dc:source>
    <dc:date>2014-07-09</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2141.2154</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2141.2154</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2014.2155.2163">
    <title><![CDATA[FUZZY SHRINK IMAGE DENOISING USING SMOOTHING SPLINE ESTIMATION]]></title>
    <link>https://thescipub.com/jcs/jcssp.2014.2155.2163</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 9 July 2014; <a href="https://thescipub.com/jcs/jcssp.2014.2155.2163">doi:10.3844/jcssp.2014.2155.2163</a></p>The image data is normally corrupted by additive noise during acquisition. This reduces the accuracy and reliability of any automatic analysis. For this reason, denoising methods are often applied to ...]]></content:encoded>
    <dc:title><![CDATA[FUZZY SHRINK IMAGE DENOISING USING SMOOTHING SPLINE ESTIMATION]]></dc:title><dc:creator>G.M.  Rajathi</dc:creator><dc:creator>R.  Rangarajan</dc:creator><dc:creator>R.  Haripriya</dc:creator><dc:creator>R.  Nithya</dc:creator><dc:identifier>doi:10.3844/jcssp.2014.2155.2163</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2014-07-09; | doi:10.3844/jcssp.2014.2155.2163</dc:source>
    <dc:date>2014-07-09</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2014.2155.2163</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2014.2155.2163</prism:url>
    </item></rdf:RDF>