• Title/Summary/Keyword: categorization system

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A Study on the Methodology in Classifying the Importance of Information System (정보시스템 중요도 분류 방법론에 관한 연구)

  • Choi, Myeonggil;Cho, Kang-Rae
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.24 no.6
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    • pp.1329-1335
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    • 2014
  • The importance of information security is increasing in the public and private organizations. The interruption of the information system might cause massive disorder. To protect information systems effectively, information systems would be categorized and managed in terms of degree of importance. In this study, we suggest a new evaluation method that categorizes information systems based on the three nature of security, confidentiality, integrity and availability. For validation of the method, we use a case study in a public sector. Through the validation of method, the availability of applying the method for categorization information systems to other domains could be suggested.

Design and Implementation of Educational Information Sharing Systems using Bookmark (즐겨찾기를 이용한 교육용 정보공유시스템의 설계 및 구현)

  • Han, Sun-Gwan
    • The Journal of Korean Association of Computer Education
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    • v.7 no.6
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    • pp.77-84
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    • 2004
  • This study proposed the agent system for educational information sharing using bookmark. In order to search and share the educational information effectively, we designed DAML+OIL-typed bookmark information. Proposed system in this study had the P2P type based on Client-Server type. We implemented the bookmark agent that has the intelligent characteristics, that is, automatic categorization of peers and documents, autonomous communication between agents using DAML, and delicate information searching using the ontology dictionary in Semantic Web environment. Hereafter, this study will contribute to activate sharing and searching educational information as well as proposed system will offer the important technologies for SCORM-based e-learning environment.

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Ontology-based Description of Functional Design Knowledge and its Use in a Functional Was Server

  • Kitamura, Yoshinobu;Kasai, Toshinobu;Mizoguchi, Riiichiro
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.400-409
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    • 2001
  • In conceptual design of engineering devices, a designer decomposes a required function into sub-functions, so-called functional decomposition, using a kind of functional knowledge representing achievement relations among functions. However, such knowledge about functionality of engineering devices is usually left implicit because each designer possesses it. Even if such knowledge is found in documents, it is often scattered around technical domains and lacks consistency. Aiming at capturing such functional knowledge explicitly and sharing it in design teams, we discuss its systematic description based on functional ontologies which provide common concepts for its consistent and generic description. We propose a new concept named “was of achievement” as a key concept for capturing such functional knowledge. Categorization of typical representations of the knowledge and its organization as is-a hierarchies are also discussed. The generic concepts representing functionality of a device in the functional knowledge are provided by the functional concept ontology, which makes the functional knowledge consistent and applicable to other domains. We also discuss development of a design supporting system using the systematized knowledge, called a functional was server. It helps human designers redesign an existing engineering device by providing a wide range of alternative ways of achievement of the required function in a manner suitable for the viewpoint of each designer and then facilitates innovative design.

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A Model-Based Method for Information Alignment: A Case Study on Educational Standards

  • Choi, Namyoun;Song, Il-Yeol;Zhu, Yongjun
    • Journal of Computing Science and Engineering
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    • v.10 no.3
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    • pp.85-94
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    • 2016
  • We propose a model-based method for information alignment using educational standards as a case study. Discrepancies and inconsistencies in educational standards across different states/cities hinder the retrieval and sharing of educational resources. Unlike existing educational standards alignment systems that only give binary judgments (either "aligned" or "not-aligned"), our proposed system classifies each pair of educational standard statements in one of seven levels of alignments: Strongly Fully-aligned, Weakly Fully-aligned, Partially-$aligned^{***}$, Partially-$aligned^{**}$, Partially-$aligned^*$, Poorly-aligned, and Not-aligned. Such a 7-level categorization extends the notion of binary alignment and provides a finer-grained system for comparing educational standards that can broaden categories of resource discovery and retrieval. This study continues our previous use of mathematics education as a domain, because of its generally unambiguous concepts. We adopt a materialization pattern (MP) model developed in our earlier work to represent each standard statement as a verb-phrase graph and a noun-phrase graph; we align a pair of statements using graph matching based on Bloom's Taxonomy, WordNet, and taxonomy of mathematics concepts. Our experiments on data sets of mathematics educational standards show that our proposed system can provide alignment results with a high degree of agreement with domain expert's judgments.

A Study on the Alt-genre of Digital Game based on User Tags (사용자 태그를 통한 대안적 게임 장르의 가능성)

  • Ahn, Jin-Kyoung
    • Journal of Digital Contents Society
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    • v.19 no.8
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    • pp.1443-1451
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    • 2018
  • The genre of digital games is not a fixed and invariable system, but a generative system of revisions and changes. The purpose of this study is to define a concept of alternative genre for digital games. The alternative genre of digital games should be presented in combinations of various genre elements and reflected the genre awareness of the user. In this context, user tags of the game transform the classical genre concept into a family resemblance based categorization and establish a user-driven bottom-up genre system. User tags as the form of alternative genre can spread the 'small' genre through multiplicity of genre elements and strengthen the communicative function of the genre.

System Requirement Architecture Modeling of KT-1 Export Version (수출용 KT-1 요구사항 아키텍처 모델 구축)

  • Kang, Min-Seong;Lee, Jin-Kyun;Kim, Jin-Suk;Shon, Hwan-Ick;Kang, Young-Ho;Lee, Joong-Yoon;Choi, Min-Shin;Lee, Young-Sun
    • Journal of the Korea Institute of Military Science and Technology
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    • v.9 no.1 s.24
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    • pp.135-143
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    • 2006
  • This paper describes a requirement architecture modeling for the front end of KT-1 export version requirement definition processes to construct SDS(system development specification). The requirement definition process is a highly conceptual process that is difficult to carry out. This paper focuses on how to perform the KT-1 export version requirements definition process including the integration of process, methods and tools for the front-end activity of requirements definition process. This requirement model is structured in four segments, including requirement layering, requirement categorization, life cycle stakeholder and requirement definition process using Computer-Aided Systems Engineering tool(CORE).

Study on Automatic Bug Triage using Deep Learning (딥 러닝을 이용한 버그 담당자 자동 배정 연구)

  • Lee, Sun-Ro;Kim, Hye-Min;Lee, Chan-Gun;Lee, Ki-Seong
    • Journal of KIISE
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    • v.44 no.11
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    • pp.1156-1164
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    • 2017
  • Existing studies on automatic bug triage were mostly used the method of designing the prediction system based on the machine learning algorithm. Therefore, it can be said that applying a high-performance machine learning model is the core of the performance of the automatic bug triage system. In the related research, machine learning models that have high performance are mainly used, such as SVM and Naïve Bayes. In this paper, we apply Deep Learning, which has recently shown good performance in the field of machine learning, to automatic bug triage and evaluate its performance. Experimental results show that the Deep Learning based Bug Triage system achieves 48% accuracy in active developer experiments, un improvement of up to 69% over than conventional machine learning techniques.

Content Analysis on Housing Design Guidelines for the Disabled in Korea (국내 장애인주택 디자인가이드라인 내용분석 연구)

  • Kim, Boae;Lee, Yeunsook
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.21 no.1
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    • pp.37-46
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    • 2015
  • Purpose : With a recently growing population of the disabled, the importance of creating the living environment for them has been emphasized, making the design guidelines to play more important role in this sense. This research aims to generalize the existing design guidelines for the housing for the disabled, diagnose their problems, and suggest a systematic and consistent milestone of the guidelines developed in the future. Method : The analysis objects of this research are 1910 categories of the design guidelines for the domestic housing for the disabled, and the research removed the redundancy and separated multi-complex categories. A total of 1424 independent categories were extracted, and been conducted content analysis from three aspects of redundancy, sub-categorization system and descriptive form based on the extracted categories. Results : Redundancy analysis figured out important characteristics by space. Moreover, the current guideline system can be integrated by analysis of sub-category system. Lastly, the research found that the guidelines need to be understood more easily and suggested under accurate criteria by analyzing the descriptive forms. Implication : This research holds significance as a fundamental data to improve the design guidelines for the disabled in the future, ultimately contributing to a better quality of life of the disabled.

Application-Level Traffic Monitoring and an Analysis on IP Networks

  • Kim, Myung-Sup;Won, Young-J.;Hong, James Won-Ki
    • ETRI Journal
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    • v.27 no.1
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    • pp.22-42
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    • 2005
  • Traditional traffic identification methods based on wellknown port numbers are not appropriate for the identification of new types of Internet applications. This paper proposes a new method to identify current Internet traffic, which is a preliminary but essential step toward traffic characterization. We categorized most current network-based applications into several classes according to their traffic patterns. Then, using this categorization, we developed a flow grouping method that determines the application name of traffic flows. We have incorporated our method into NG-MON, a traffic analysis system, to analyze Internet traffic between our enterprise network and the Internet, and characterized all the traffic according to their application types.

User-Friendly Personal Photo Browsing for Mobile Devices

  • Kim, Sang-Kyun;Lee, Jae-Won;Lee, Ryong;Hwang, Eui-Hyeon;Chung, Min-Gyo
    • ETRI Journal
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    • v.30 no.3
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    • pp.432-440
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    • 2008
  • In this paper, a user-friendly mobile photo album system and albuming functions to support it are introduced. Stand-alone implementation in a mobile device is considered. The main idea of user-friendly photo browsing for albuming functions is to enable users to organize and browse their photos along semantically meaningful axes of events, personal identities, and categories. Experimental results demonstrate that the proposed method would be sufficiently useful and efficient for browsing personal photos in mobile environment.

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