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<title>Volume 3, Issue 11 (2007) | Journal of Computer Science</title>
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    <title><![CDATA[Energy Aware Optimal Routing for Wireless Sensor Networks]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 November 2007; <a href="https://thescipub.com/jcs/jcssp.2007.836.840">doi:10.3844/jcssp.2007.836.840</a></p>Wireless Sensor Network (WSN) is a collection of autonomous devices with computational, sensing, and wireless communication capabilities. The sensor nodes are low cost, multi-functional devices that a...]]></content:encoded>
    <dc:title><![CDATA[Energy Aware Optimal Routing for Wireless Sensor Networks]]></dc:title><dc:creator>S.  Chandramathi</dc:creator><dc:creator>U.  Anand</dc:creator><dc:creator>T.  Ganesh</dc:creator><dc:creator>S.  Sriraman</dc:creator><dc:creator>D.  Velmurugan</dc:creator><dc:identifier>doi:10.3844/jcssp.2007.836.840</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2007-11-30; | doi:10.3844/jcssp.2007.836.840</dc:source>
    <dc:date>2007-11-30</dc:date>
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    <title><![CDATA[An Improved Implementation of Brain Tumor Detection Using Segmentation Based on Neuro Fuzzy Technique ]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 November 2007; <a href="https://thescipub.com/jcs/jcssp.2007.841.846">doi:10.3844/jcssp.2007.841.846</a></p>Implementation of a neuro-fuzzy segmentation process of the MRI data is presented in this study to detect various tissues like white matter, gray matter, csf and tumor. The advantage of hierarchical s...]]></content:encoded>
    <dc:title><![CDATA[An Improved Implementation of Brain Tumor Detection Using Segmentation Based on Neuro Fuzzy Technique ]]></dc:title><dc:creator>S.  Murugavalli</dc:creator><dc:creator>V.  Rajamani</dc:creator><dc:identifier>doi:10.3844/jcssp.2007.841.846</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2007-11-30; | doi:10.3844/jcssp.2007.841.846</dc:source>
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    <title><![CDATA[Improving the Quality of Service Guarantee in an Asynchronous Transfer Mode (ATM) Network ]]></title>
    <link>https://thescipub.com/jcs/jcssp.2007.847.853</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 November 2007; <a href="https://thescipub.com/jcs/jcssp.2007.847.853">doi:10.3844/jcssp.2007.847.853</a></p>This study presents a technique for improving the quality of service   (QoS ) guarantee in an ATM network. In the proposed model, it was assumed that high priority traffic have been allocated a switch...]]></content:encoded>
    <dc:title><![CDATA[Improving the Quality of Service Guarantee in an Asynchronous Transfer Mode (ATM) Network ]]></dc:title><dc:creator>Francis Joseph Ogwu</dc:creator><dc:creator>Mohammad  Talib</dc:creator><dc:creator>Ganiyu Adesola Aderounmu</dc:creator><dc:identifier>doi:10.3844/jcssp.2007.847.853</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2007-11-30; | doi:10.3844/jcssp.2007.847.853</dc:source>
    <dc:date>2007-11-30</dc:date>
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    <title><![CDATA[Modified Hill Cipher with Interlacing and Iteration ]]></title>
    <link>https://thescipub.com/jcs/jcssp.2007.854.859</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 November 2007; <a href="https://thescipub.com/jcs/jcssp.2007.854.859">doi:10.3844/jcssp.2007.854.859</a></p>In this research, we have developed a block cipher by taking a large key matrix of size nxn and a plaintext matrix containing n rows and two columns. In this, the plaintext column vectors, perated by ...]]></content:encoded>
    <dc:title><![CDATA[Modified Hill Cipher with Interlacing and Iteration ]]></dc:title><dc:creator>V. U.K.. Sastry</dc:creator><dc:creator>N. Ravi Shankar</dc:creator><dc:identifier>doi:10.3844/jcssp.2007.854.859</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2007-11-30; | doi:10.3844/jcssp.2007.854.859</dc:source>
    <dc:date>2007-11-30</dc:date>
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    <title><![CDATA[Handover Outage Time Optimization in Heterogeneous Networks]]></title>
    <link>https://thescipub.com/jcs/jcssp.2007.860.862</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 November 2007; <a href="https://thescipub.com/jcs/jcssp.2007.860.862">doi:10.3844/jcssp.2007.860.862</a></p>Handover is a very critical parameter in Cellular Networks. The outage handover time is a drawback for Quality of Service in wireless voice applications and heterogeneous cellular wireless networks. A...]]></content:encoded>
    <dc:title><![CDATA[Handover Outage Time Optimization in Heterogeneous Networks]]></dc:title><dc:creator>S.  Louvros</dc:creator><dc:identifier>doi:10.3844/jcssp.2007.860.862</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2007-11-30; | doi:10.3844/jcssp.2007.860.862</dc:source>
    <dc:date>2007-11-30</dc:date>
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    <title><![CDATA[Performance Evaluation of Modified AODV for Load Balancing]]></title>
    <link>https://thescipub.com/jcs/jcssp.2007.863.868</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 November 2007; <a href="https://thescipub.com/jcs/jcssp.2007.863.868">doi:10.3844/jcssp.2007.863.868</a></p>AODV is a prominent routing protocol for MANET that uses hop count as a path selection metric. However, AODV has no means to convey traffic load on current route. This study focuses on introducing a n...]]></content:encoded>
    <dc:title><![CDATA[Performance Evaluation of Modified AODV for Load Balancing]]></dc:title><dc:creator>Amita  Rani</dc:creator><dc:creator>Mayank  Dave</dc:creator><dc:identifier>doi:10.3844/jcssp.2007.863.868</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2007-11-30; | doi:10.3844/jcssp.2007.863.868</dc:source>
    <dc:date>2007-11-30</dc:date>
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    <title><![CDATA[Adaptive Resonance Theory 1 (ART1) Neural Network Based Horizontal and Vertical Classification of 0-9 Digits Recognition ]]></title>
    <link>https://thescipub.com/jcs/jcssp.2007.869.873</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 November 2007; <a href="https://thescipub.com/jcs/jcssp.2007.869.873">doi:10.3844/jcssp.2007.869.873</a></p>This study describes the Adaptive Resonance Theory 1 (ART1), an efficient algorithm that emulates the self-organizing pattern recognition and hypothesis testing properties of the ART neural network ar...]]></content:encoded>
    <dc:title><![CDATA[Adaptive Resonance Theory 1 (ART1) Neural Network Based Horizontal and Vertical Classification of 0-9 Digits Recognition ]]></dc:title><dc:creator>Mbaitiga  Zacharie</dc:creator><dc:identifier>doi:10.3844/jcssp.2007.869.873</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2007-11-30; | doi:10.3844/jcssp.2007.869.873</dc:source>
    <dc:date>2007-11-30</dc:date>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2007.874.881">
    <title><![CDATA[Customized Privacy Preservation Using Unknowns to Stymie Unearthing Of Association Rules ]]></title>
    <link>https://thescipub.com/jcs/jcssp.2007.874.881</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 November 2007; <a href="https://thescipub.com/jcs/jcssp.2007.874.881">doi:10.3844/jcssp.2007.874.881</a></p>The explosions of new data mining techniques has augmented privacy risks because now it is probable to powerfully coalesce and cross-examine massive data stores, accessible on the web, in the rummage ...]]></content:encoded>
    <dc:title><![CDATA[Customized Privacy Preservation Using Unknowns to Stymie Unearthing Of Association Rules ]]></dc:title><dc:creator>J.  Indumathi</dc:creator><dc:creator>G.V.  Uma</dc:creator><dc:identifier>doi:10.3844/jcssp.2007.874.881</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2007-11-30; | doi:10.3844/jcssp.2007.874.881</dc:source>
    <dc:date>2007-11-30</dc:date>
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    <title><![CDATA[Exploring Spatial ARM (Spatial Association Rule Mining) for Geo-Decision Support System ]]></title>
    <link>https://thescipub.com/jcs/jcssp.2007.882.886</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 November 2007; <a href="https://thescipub.com/jcs/jcssp.2007.882.886">doi:10.3844/jcssp.2007.882.886</a></p>Geographical Decision Support System (Geo-DSS) is a demanding field, since enormous amount of spatial data have been collected in various applications, ranging form Remote Sensing to GIS, Computer Car...]]></content:encoded>
    <dc:title><![CDATA[Exploring Spatial ARM (Spatial Association Rule Mining) for Geo-Decision Support System ]]></dc:title><dc:creator>Ranjana  Vyas</dc:creator><dc:creator>Lokesh Kumar Sharma</dc:creator><dc:creator>U. S. Tiwary</dc:creator><dc:identifier>doi:10.3844/jcssp.2007.882.886</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2007-11-30; | doi:10.3844/jcssp.2007.882.886</dc:source>
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    <title><![CDATA[Theoretical and Simulation Approaches for Studying Compensation Strategies of Nonlinear Effects Digital Lightwave Links Using DWDM Technology]]></title>
    <link>https://thescipub.com/jcs/jcssp.2007.887.893</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 November 2007; <a href="https://thescipub.com/jcs/jcssp.2007.887.893">doi:10.3844/jcssp.2007.887.893</a></p>Nowadays, techniques for education are based on the combination of theoretical formulas, experimental measurement and simulation approaches. Theoretical analysis, experimental and simulation approache...]]></content:encoded>
    <dc:title><![CDATA[Theoretical and Simulation Approaches for Studying Compensation Strategies of Nonlinear Effects Digital Lightwave Links Using DWDM Technology]]></dc:title><dc:creator>J. Bel Hadj Tahar</dc:creator><dc:identifier>doi:10.3844/jcssp.2007.887.893</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2007-11-30; | doi:10.3844/jcssp.2007.887.893</dc:source>
    <dc:date>2007-11-30</dc:date>
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    <title><![CDATA[Support Vector Machine for Discrimination Between Fault and Magnetizing Inrush Current in Power Transformer]]></title>
    <link>https://thescipub.com/jcs/jcssp.2007.894.897</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 November 2007; <a href="https://thescipub.com/jcs/jcssp.2007.894.897">doi:10.3844/jcssp.2007.894.897</a></p>This study presents a novel technique based on Support Vector Machine (SVM) for the classification of transient phenomena in power transformer. The SVM is a powerful method for statistical classificat...]]></content:encoded>
    <dc:title><![CDATA[Support Vector Machine for Discrimination Between Fault and Magnetizing Inrush Current in Power Transformer]]></dc:title><dc:creator>V.  Malathi</dc:creator><dc:creator>N. S. Marimuthu</dc:creator><dc:identifier>doi:10.3844/jcssp.2007.894.897</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2007-11-30; | doi:10.3844/jcssp.2007.894.897</dc:source>
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    <title><![CDATA[Structure and Performance of the Meta Inference Engine]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 November 2007; <a href="https://thescipub.com/jcs/jcssp.2007.898.906">doi:10.3844/jcssp.2007.898.906</a></p>This study presents the structure and the performance of a new inference engine: the MIE (Meta Inference Engine). It is able to manipulate not only the rules but also the metarules. The article first ...]]></content:encoded>
    <dc:title><![CDATA[Structure and Performance of the Meta Inference Engine]]></dc:title><dc:creator>Jean-Marc  NIGRO</dc:creator><dc:creator>Yann  BARLOY</dc:creator><dc:identifier>doi:10.3844/jcssp.2007.898.906</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2007-11-30; | doi:10.3844/jcssp.2007.898.906</dc:source>
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