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<title>Volume 2, Issue 9 (2006) | Journal of Computer Science</title>
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    <title><![CDATA[A New Type of Network Security Protocol Using Hybrid Encryption in Virtual Private Networking ]]></title>
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    <dc:title><![CDATA[A New Type of Network Security Protocol Using Hybrid Encryption in Virtual Private Networking ]]></dc:title><dc:creator>E.  Ramaraj</dc:creator><dc:creator>S.  Karthikeyan</dc:creator><dc:identifier>doi:10.3844/jcssp.2006.672.675</dc:identifier>
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    <title><![CDATA[Adaptive Hybrid Mobile Agent Protocol for Wireless Multihop Internet Access]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 September 2006; <a href="https://thescipub.com/jcs/jcssp.2006.676.682">doi:10.3844/jcssp.2006.676.682</a></p>Internet-based Mobile Ad Hoc Networking (MANET) is an emerging technology that supports self-organizing mobile networking infrastructures. This is expected to be of great use in commercial application...]]></content:encoded>
    <dc:title><![CDATA[Adaptive Hybrid Mobile Agent Protocol for Wireless Multihop Internet Access]]></dc:title><dc:creator>A.  Velmurugan</dc:creator><dc:creator>R.  Rajaram</dc:creator><dc:identifier>doi:10.3844/jcssp.2006.676.682</dc:identifier>
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    <title><![CDATA[An Integrated Approach to Digital Objects Storage and Retrieval]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 September 2006; <a href="https://thescipub.com/jcs/jcssp.2006.683.689">doi:10.3844/jcssp.2006.683.689</a></p>Image retrieval systems are becoming increasingly important in areas of research and commercial use. The storage of digital objects in the traditional databases is considered inadequate because of the...]]></content:encoded>
    <dc:title><![CDATA[An Integrated Approach to Digital Objects Storage and Retrieval]]></dc:title><dc:creator>Khalil  Shihab</dc:creator><dc:creator>Haider  Ramadhan</dc:creator><dc:creator>Nida  Al-Chalabi</dc:creator><dc:identifier>doi:10.3844/jcssp.2006.683.689</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2006-09-30; | doi:10.3844/jcssp.2006.683.689</dc:source>
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    <title><![CDATA[Ontology-based Knowledge Networks for users' training: The Enterprise Resource Planning (ERP) case ]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 September 2006; <a href="https://thescipub.com/jcs/jcssp.2006.690.697">doi:10.3844/jcssp.2006.690.697</a></p>This paper presents a prototype model for the design and development of training material, where both the multimedia objects used in training scenarios and the knowledge built into them are captured a...]]></content:encoded>
    <dc:title><![CDATA[Ontology-based Knowledge Networks for users' training: The Enterprise Resource Planning (ERP) case ]]></dc:title><dc:creator>Macris  Aristomenis</dc:creator><dc:identifier>doi:10.3844/jcssp.2006.690.697</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2006-09-30; | doi:10.3844/jcssp.2006.690.697</dc:source>
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    <title><![CDATA[A Large Block Cipher Using Modular Arithmetic Inverse of a Key Matrix and Mixing of the Key Matrix and the Plaintext ]]></title>
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    <dc:title><![CDATA[A Large Block Cipher Using Modular Arithmetic Inverse of a Key Matrix and Mixing of the Key Matrix and the Plaintext ]]></dc:title><dc:creator>V. U.K. Sastry</dc:creator><dc:creator>S. Udaya Kumar</dc:creator><dc:creator>A. Vinaya babu</dc:creator><dc:identifier>doi:10.3844/jcssp.2006.698.703</dc:identifier>
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    <title><![CDATA[MFTPM: Maximum Frequent Traversal Pattern Mining with Bidirectional Constraints]]></title>
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    <dc:title><![CDATA[MFTPM: Maximum Frequent Traversal Pattern Mining with Bidirectional Constraints]]></dc:title><dc:creator>Jiadong  Ren</dc:creator><dc:creator>Xiaojian  Zhang</dc:creator><dc:creator>Huili  Peng</dc:creator><dc:identifier>doi:10.3844/jcssp.2006.704.709</dc:identifier>
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    <title><![CDATA[A Backpropagation Neural Network for Computer Network Security]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 September 2006; <a href="https://thescipub.com/jcs/jcssp.2006.710.715">doi:10.3844/jcssp.2006.710.715</a></p>In this paper, an efficient and scalable technique for computer network security is presented. On one hand, the decryption scheme and the public key creation used in this work are based on a multi-lay...]]></content:encoded>
    <dc:title><![CDATA[A Backpropagation Neural Network for Computer Network Security]]></dc:title><dc:creator>Khalil  Shihab</dc:creator><dc:identifier>doi:10.3844/jcssp.2006.710.715</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2006-09-30; | doi:10.3844/jcssp.2006.710.715</dc:source>
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    <title><![CDATA[Tolerances Applied in Combinatorial Optimization]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 September 2006; <a href="https://thescipub.com/jcs/jcssp.2006.716.734">doi:10.3844/jcssp.2006.716.734</a></p>In this paper we deal with sensitivity analysis of combinatorial optimization problems and its fundamental term, the tolerance. For three classes of objective functions (∑, ∏, MAX) we give some ba...]]></content:encoded>
    <dc:title><![CDATA[Tolerances Applied in Combinatorial Optimization]]></dc:title><dc:creator>Boris  Goldengorin</dc:creator><dc:creator>Gerold  Jäger</dc:creator><dc:creator>Paul  Molitor</dc:creator><dc:identifier>doi:10.3844/jcssp.2006.716.734</dc:identifier>
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    <title><![CDATA[Data Mining: A Preprocessing Engine]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 September 2006; <a href="https://thescipub.com/jcs/jcssp.2006.735.739">doi:10.3844/jcssp.2006.735.739</a></p>This study is emphasized on different types of normalization. Each of which was tested against the ID3 methodology using the HSV data set. Number of leaf nodes, accuracy and tree growing time are thre...]]></content:encoded>
    <dc:title><![CDATA[Data Mining: A Preprocessing Engine]]></dc:title><dc:creator>Luai A. Shalabi</dc:creator><dc:creator>Zyad  Shaaban</dc:creator><dc:creator>Basel  Kasasbeh</dc:creator><dc:identifier>doi:10.3844/jcssp.2006.735.739</dc:identifier>
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    <title><![CDATA[A framework to Deal with Missing Data in Data Sets]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 September 2006; <a href="https://thescipub.com/jcs/jcssp.2006.740.745">doi:10.3844/jcssp.2006.740.745</a></p>Most information systems usually have some missing values due to unavailable data. Missing values minimizing the quality of classification rules generated by a data mining system. Missing vales also a...]]></content:encoded>
    <dc:title><![CDATA[A framework to Deal with Missing Data in Data Sets]]></dc:title><dc:creator>Luai A. Shalabi</dc:creator><dc:creator>Mohannad  Najjar</dc:creator><dc:creator>Ahmad A. Kayed</dc:creator><dc:identifier>doi:10.3844/jcssp.2006.740.745</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2006-09-30; | doi:10.3844/jcssp.2006.740.745</dc:source>
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    <title><![CDATA[Design of an IP Library for the Synthesis of Image Compression Systems]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 September 2006; <a href="https://thescipub.com/jcs/jcssp.2006.746.753">doi:10.3844/jcssp.2006.746.753</a></p>To design a hardware system we may use generated Intellectual Property (IP) cores from a library with optimized parameters. The IP parameters are area minimization, memory use optimization and speed a...]]></content:encoded>
    <dc:title><![CDATA[Design of an IP Library for the Synthesis of Image Compression Systems]]></dc:title><dc:creator>Chokri  Souani</dc:creator><dc:creator>Ihsen  Gazzah</dc:creator><dc:creator>Kamel  Besbes</dc:creator><dc:identifier>doi:10.3844/jcssp.2006.746.753</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2006-09-30; | doi:10.3844/jcssp.2006.746.753</dc:source>
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    <title><![CDATA[Rotational Linear Discriminant Analysis Using Bayes Rule for Dimensionality Reduction]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 September 2006; <a href="https://thescipub.com/jcs/jcssp.2006.754.757">doi:10.3844/jcssp.2006.754.757</a></p>Linear discriminant analysis (LDA) finds an orientation that projects high dimensional feature vectors to reduced dimensional feature space in such a way that the overlapping between the classes in th...]]></content:encoded>
    <dc:title><![CDATA[Rotational Linear Discriminant Analysis Using Bayes Rule for Dimensionality Reduction]]></dc:title><dc:creator>Alok  Sharma</dc:creator><dc:creator>Kuldip K. Paliwal</dc:creator><dc:identifier>doi:10.3844/jcssp.2006.754.757</dc:identifier>
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