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pISSN : 2092-8114 / eISSN : 2733-4384

2020 KCI Impact Factor : 0.41
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2012, Vol.8, No.2

  • 1.

    A Study on Strengthening the Appraisal Effectiveness under the Copyright Law

    Kim, Si Yeol | Ye-Kyung, Shin | 2012, 8(2) | pp.1~11 | number of Cited : 0
    Abstract PDF
    This paper examines whether there are any improvement measurements of the appraisal in terms of its effectiveness that is under the Article 119 of the Copyright Law. Based regulations of Copyright Law, it examines legal basis for the scope of the appraisal in copyright law according to the type of appraisal, the system that performs functions similar to the appraisal and the category of the target that can requests the appraisal to the KCC. Based on these points, this paper indicates drawbacks resulted from a current appraisal system and examines any resolutions in terms of procedural, structural, practical and systemic aspects.
  • 2.

    CCR : Tree-pattern based Code-clone Detector

    Hyo-Sub Lee | Doh, Kyung-Goo | 2012, 8(2) | pp.13~27 | number of Cited : 0
    Abstract PDF
    This paper presents a tree-pattern based code-clone detector as CCR(Code Clone Ransacker) that finds all clusterd dulpicate pattern by comparing all pair of subtrees in the programs. The pattern included in its entirely in another pattern is ignored since only the largest duplicate patterns are interesed. Evaluation of CCR is high precision and recall. The previous tree-pattern based code-clone detectors are known to have good precision and recall because of comparing program structure. CCR is still high precision and the maximum 5 times higher recall than Asta and about 1.9 times than CloneDigger. The tool also include the majority of Bellon's reference corpus.
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  • 4.

    Predicting a combination of the key attributes using CfsSubsetEval attribute selector

    Kim Youngok | Kwon, Ki Tae | 2012, 8(2) | pp.37~43 | number of Cited : 0
    Abstract PDF
    Feature selection is the one of important issues in the field of machine learning and pattern recognition. It is the technique to find a subset from the source data and can give the best classification performance. Ie, it is the technique to extract the subset closely related to the purpose of the classification. In this paper, we experimented to select the best feature subset for improving classification accuracy when classify success and failure factors in software reuse. And we compared with existing studies. As a result, we found that a feature subset was selected in this study showed the better classification accuracy.
  • 5.

    Model Based Vulnerability Analysis for SOA

    Hyunha Kim | Yukyong Kim | Doh, Kyung-Goo | 2012, 8(2) | pp.45~51 | number of Cited : 1
    Abstract PDF
    This paper is to identify and assess vulnerabilities of services considering the nature of service layers for analyzing vulnerability of SOA security. It is a model driven approach which provides the way to present security requirements of the business model and identify the vulnerabilities of the services to extract the secure service model. We validate the proposed method with the analytic evaluation because the predictive nature of our methodology poses some specific challenges for its validation.
  • 6.

    Implementation of the Proxy Mobile IPv6 Simulator

    Ki Jang Geun | 2012, 8(2) | pp.54~63 | number of Cited : 0
    Abstract PDF
    MIPv6 that was standardized by IETF for supporting mobility of the terminal presents some disadvantages such as high bandwidth overhead on the wireless link and burden of protocol stack implementation on the mobile node. To solve this problem, Proxy MIPv6 was suggested as a network-based mobility management scheme. In this paper, development of the simulator for PMIPv6 is discussed.
  • 7.

    A comparative verification of the android application program on object code

    LEE KYU TAE | 2012, 8(2) | pp.65~70 | number of Cited : 0
    Abstract PDF
    The smart phone is the one of the best mobile IT devices. It is a hardware system which has special processor and interface modules for it's own function under Android Operating System. An application program called App. has been a useful program utility by seamless internet connection. The App. program created by an Eclipse tool is exposed in general. On the property right verification of these software, it should be evaluated on the source code. This paper shows how to make App program and the a verification procedure with object code.