• 제목/요약/키워드: information classification

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장수명주택 인필 정보시스템 구축에 관한 기초 연구 (A Preliminary Study on the Establishment of Long-Life Housing Infill Information System)

  • 정윤혜;황은경;김은영
    • KIEAE Journal
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    • 제17권5호
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    • pp.51-59
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    • 2017
  • Purpose: This study aims to set up the classification system for providing infill information and draw detailed infill information required by suppliers, thereby promoting the revitalization of long-life housing and utilizing such information as preliminary data for establishing web system, on which infill information required by users in the long-life housing design process are available. Method: For the method of study, the infill information classification system and detailed information were drawn through the analysis of existing building material information systems; and the survey targeting working-level personnel was carried out in order to verify the drawn information system. The results of this study can be summarized as follows. First, the hierarchical classification system (scheme) was selected by quoting the classification system by material type as infill type, after analyzing existing DB information systems and drawing the hierarchical classification system for infill. Second, the comparative analysis between infill was available to users for the detailed infill information of long-life housing, and the essential information and general information were selected for differentiating information. Results: First, the hierarchical classification system (scheme) was selected by quoting the classification system by material type as infill type, after analyzing existing DB information systems and drawing the hierarchical classification system for infill. Second, the comparative analysis between infill was available to users for the detailed infill information of long-life housing, and the essential information and general information were selected for differentiating information. Third, only approximately 30% of the survey respondents recognized the infill of long-life housing, but they did not recognize its difference from existing building materials. Fourth, through the analysis of paths to obtain infill information of long-life housing, it was confirmed that infill information was obtained mostly through books and research papers regarding long-life housing, followed by the existing information systems. The significance of the study lies in that it is differentiated from the previous information system as the information system specialized in the infill of long-life housing was established, and can be used as a measure to revitalize long-life housing market.

도서분류자동화 원리유도에 관한 연구 (Principles of the Automatic Book-Classification)

  • 심의순;이경호
    • 한국도서관정보학회지
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    • 제11권
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    • pp.175-209
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    • 1984
  • The purpose of this study is to build a general principle for the automatic book-classification which can be put to use in library operation, and to present a methodology of the automatic classification for the library. Since the enumerative classification scheme which exist as manual systems cannot be a n.0, pplied to the automation of classification, the principles of Colon Classification by S.R. Ranganathan is brought in and studied. The result of the study can be summarized as follows: (1) Automatic book-classification can be performed by the principles of faceted classification. (2) This study presents a general and an a n.0, pplication principles for the automatic book-classification. (3) File design for the automatic book-classification of a general classification is different from that of special classification, (4) The methodology is to classify the literature by inputting the title into a terminal. In addition, the expected Value from the Automatic Book-classification is as follows: (1) The prompt and accurate process of classification is possible. (2) Though a book is classified in any library it can have the same classification number. (3) The user can retrieve the classification code of a book for which he or she wants to search through the dialogue with the computer. (4) Since the concept coordination method is employed, even the representing of a multi-subject concept is made simple. (5) By performing automatic book-classification, the automation of library operation can be completed.

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토목공학분야 문헌정보분류법의 류.강체계 비교분석 (Comparative study of class and division classification for the civil engineering field in a library classification system)

  • 강인석
    • 정보관리학회지
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    • 제14권2호
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    • pp.105-122
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    • 1997
  • 토목공학분야의 도서는 최근 건설기술의 발전과 토목공학 적용분야의 확대로 인하여 방대한 양의 도서자료들이 발생하고 있다. 도서정보의 분류체계는 현재 각 도서관과 건설관련기관내의 자료실 등에서 서지, 논문 및 정기간행물 등의 분류체계로서 듀이십진분류법(Dewey Decimal Classification-DDC) 또는 한국십진분류법(Korean Decimal Classification-KDC)등을 사용하고 있다. 그러나 기존 분류체계의 토목공학 분류항들이 학문의 학술적, 기술적 분류와 일치하지 않는 점 등으로 효과적인 도서분류와 정보검색에 어려움이 있으므로, 토목공학분야의 도서분류체계를 보다 학문이론적 분류에 적합하도록 재구성할 필요가 있다. 본 연구에서는 국내외의 도서분류체계중 토목공학분야의 분류항들을 검토한 후, 적용상의 문제점 분석과 함께, 학술정보를 위한 학문적 분류와 실무자료검색을 위한 기술적 분류의 연계성을 갖추어, 요구되는 정보를 보다 편리하게 검색할 수 있는 새로운 토목공학분야 도서분류의 류, 강 분류체계를 제시하고 있다. 제시된 분류체계는 건설 기술정보분류체계의 구성시에 시설물 정보분류항으로 활용될 수 있으며, 한국십진분류법의 개 ㅍ\ulcorner토목공학분야 분류코드로 참조될 수 있을 것이다.

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DCT와 정보 화소 밀도를 이용한 PDA로 획득한 명함 영상에서의 영역 해석 (Region Analysis of Business Card Images Acquired in PDA Using DCT and Information Pixel Density)

  • 김종흔;장익훈;김남철
    • 한국통신학회논문지
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    • 제29권8C호
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    • pp.1159-1174
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    • 2004
  • 본 논문에서는 PDA에 장착된 카메라를 사용하여 획득한 명함 영상에 대한 효율적인 영역 해석 알고리듬을 제안한다. 제안된 방법은 크게 영역 분할, 정보 영역 분류, 문자 영역 분류의 3개 과정으로 구성된다. 영역 분할에서는 입력 명함 영상을 8${\times}$8 크기의 블록으로 나누고 각 블록을 저주파 대역에서의 정규화 된 DCT 계수의 에너지를 이용하여 정보 블록과 배경 블록으로 분류한 다음, 블록에 대한 영역 라벨링을 통하여 정보 영역과 배경 영역으로 분할한다. 정보 영역 분류에서는 각 정보 영역을 블록 신호의 수평, 수직 방향 에지 성분과 저주파 대역에서의 DCT 계수의 에너지 비와 이진화 된 정보 영역 내에서의 흑화소인 정보 화소의 밀도를 이용하여 문자 영역과 배경 영역으로 분류한다. 문자 영역 분류에서는 분류된 문자 영역을 정보 화소의 밀도와 평균 런 길이를 이용하여 다시 큰 문자와 작은 문자 영역으로 분류한다. 실험결과 제안된 영역 해석 방법은 여러 종류의 명함을 다양한 주변 여건에서 PDA로 획득한 시험 영상에 대하여 정보 영역과 배경 영역을 잘 분할하고, 정보 영역을 문자 영역과 그림 영역으로 잘 분류하며, 다시 문자 영역을 큰 문자와 작은 문자 영역으로 잘 분류함을 보였다 그리고 제안된 영역 분할 방법과 정보 영역 분류 방법은 기존의 방법들보다 각각 약 2.2-10.1%와 7.7%의 에러율 향상을 보였다.

Combining Geostatistical Indicator Kriging with Bayesian Approach for Supervised Classification

  • Park, No-Wook;Chi, Kwang-Hoon;Moon, Wooil-M.;Kwon, Byung-Doo
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.382-387
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    • 2002
  • In this paper, we propose a geostatistical approach incorporated to the Bayesian data fusion technique for supervised classification of multi-sensor remote sensing data. Traditional spectral based classification cannot account for the spatial information and may result in unrealistic classification results. To obtain accurate spatial/contextual information, the indicator kriging that allows one to estimate the probability of occurrence of classes on the basis of surrounding observations is incorporated into the Bayesian framework. This approach has its merit incorporating both the spectral information and spatial information and improves the confidence level in the final data fusion task. To illustrate the proposed scheme, supervised classification of multi-sensor test remote sensing data set was carried out.

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기사데이터베이스의 분류항목과 데이터표시형식에 관한 비교분석 (Analysis on classification item and data display format of newspaper article database)

  • 한상길
    • 한국도서관정보학회지
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    • 제23권
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    • pp.329-362
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    • 1995
  • Newspaper Article Information is an important source of information on social phenomenon with historical value. The development of computer and technology of information communication enables the construction of Newspaper Article Database by CTS and service through computer communication. It made it possible for the peoples to utilize the Newspaper Article Information easily. However, it is very difficult to utilize the currently prevailing system. There are differences in classification system of Newspaper Article Database and the Data Display Format. This survey aims to review the characteristics of Newspaper Article Database and current domestic computer communication service system. By comparing the classification system of Retrieval Menu and Data Display Format, I intended to suggest the standardized way of utilization which enables the users utilize them more easily and conveniently. The results of this survey is as follows : 1. More sub-divided distinction of classification item is required. 2. Separate classification item should be established for the distinction of article form which is very difficult to classify the subject. 3. Data Display Format should be equi n.0, pped with standardized format and signal which enables the users recognize it easily.

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인터넷 정보서비스의 분류체계에 대한 비교연구 : 물리학을 중심으로 (A Comparative Study on Classification Schemes of Internet Services)

  • 최희윤
    • 정보관리학회지
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    • 제15권3호
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    • pp.45-71
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    • 1998
  • 인터넷 정보자원의 폭발적인 증가에 따라 이를 효율적으로 조직화하고 체계화하는 시스템의 중요성이 증가하고 있다. 이에 따라 주제접근을 용이하게 하고 검색 효율성을 높이는 도구로서 분류체계에 대한 관심이 커지고 있다. 본 고에서는 문헌 분류체계와 인터넷기반 분류체계의 계층구조와 접근방법을 구조적 측면과 검색사례를 통하여 조사하고 이에 대한 비교 분석을 통해 인터넷 환경에 적합한 분류체계의 구성방안을 살펴보았다.

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베이지안 학습을 이용한 문서의 자동분류 (An Automatic Document Classification with Bayesian Learning)

  • 김진상;신양규
    • Journal of the Korean Data and Information Science Society
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    • 제11권1호
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    • pp.19-30
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    • 2000
  • 정보통신기술의 비약적인 발전은 온라인으로 생성되는 전자문서의 양을 폭발적으로 증가시키고 있다. 따라서 수동으로 문서를 분류하던 종래의 방법 대신 문서의 자동분유 기술 개발이 특별히 요구되고 있다. 본 논문에서는 베이지안 학습 기법을 이용하여 문서를 자동으로 분류하는 방법을 연구하고, 20개의 유즈넷 뉴스그룹 문서들을 분류하도록 시험하였다. 사용한 알고리즘은 Naive Bayes Classifier이며, 구현한 시스템을 이용해 유즈넷 문서를 대상으로 자동분류를 실험한 결과 분류의 정확률이 약 77%로 나타났다.

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확장개체모델에서의 학습과 계층파악 (Learning and Classification in the Extensional Object Model)

  • 김용재;안준모;이석준
    • Asia pacific journal of information systems
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    • 제17권1호
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    • pp.33-58
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    • 2007
  • Quiet often, an organization tries to grapple with inconsistent and partial information to generate relevant information to support decision making and action. As such, an organization scans the environment interprets scanned data, executes actions, and learns from feedback of actions, which boils down to computational interpretations and learning in terms of machine learning, statistics, and database. The ExOM proposed in this paper is geared to facilitate such knowledge discovery found in large databases in a most flexible manner. It supports a broad range of learning and classification styles and integrates them with traditional database functions. The learning and classification components of the ExOM are tightly integrated so that learning and classification of objects is less burdensome to ordinary users. A brief sketch of a strategy as to the expressiveness of terminological language is followed by a description of prototype implementation of the learning and classification components of the ExOM.

인터넷 소비자정보사이트의 분류 및 기술적 수준 실태분석 (The Classification and Technological Level Analysis of Internet Consumer Information Sites)

  • 황미현;이승신
    • 대한가정학회지
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    • 제40권5호
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    • pp.147-158
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    • 2002
  • This study was intended to make an analysis of the classification of Internet consumer information provided on the Internet and its realities with a focus on the realities of information characteristics and technological level to provide systematized consumer information for consumers. As a result, the following findings were obtained: First, it was found that information on consumer panel research, anti-site and consumerism is lacking in terms of the type of information currently provided in the Internet consumer information classification. Second, it was found that up-to-datensess, communically and connectivity were high in the level of Internet consumer information characteristics. Third, it was found that publicity was realities well carried out in terms of the technological level of Internet consumer information but that the realities of publicity was still tacking. Fourth, it is thought that it is necessary to construct the Internet consumer information provision site through several eve-level programs for elementary, middle and high school students in a systematic fashion in order to provide diverse consumers with Internet consumer information at several levels.