The KIPS Transactions:PartB (정보처리학회논문지B)

Korea Information Processing Society (한국정보처리학회)
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Multimedia Statistic Post-office Box System using Fuzzy Filtering Structures

퍼지 필터링 구조를 이용한 멀티미디어 통계 사서함 시스템

  • 이종득 (국립 익산대학 정보통신공학과) ;
  • 김대경 (전북대학교 통계정보학부)
  • Published : 2004.10.01
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Abstract

According to the current increase of the usefulness of information by Internet Communication network, several methods are proposed in which a specific domain information nay be efficiently constructed and serviced. This paper proposes Relationship Grouping of Fuzzy Filtering Objects for Multimedia Statistic Post-office Box Construction. The proposed method exploits RelCRO( $D_{omain}$, Gi), RelSRO( $D_{omain}$, Gi) and FAS in order to group using (equation omitted)-cut. To know how well the proposed method is able to work, this paper have test against the methods with 1600 items of multimedia type information, and our system are compared with Random-Key, OGM and the proposed method. The results shows that the proposed method provides the better performance than the other methods.

최근에 인터넷과 통신망의 활성화로 인하여 특정 도메인 정보들을 효율적으로 구축하고 서비스하기 위한 여러 가지 방법들이 제안되고 있다. 본 논문에서는 멀티미디어 통계 사서함 구축을 위한 퍼지 필터링 객체 관련성 기법을 제안한다 제안된 기법은 S-cut을 이용하여 문서 객체들을 그룹화하기 위해 RelCRO( $D_{omain}$, Gi), RelSRO( $D_{omain}$, Gi), FAS를 이용한다. 또한 제안된 기법의 성능을 알아보기 위해 1600개의 멀티미디어 타입정보를 이용하여 실험을 수행하고 랜덤 키, OGM, 그리고 제안된 방법을 비교 분석한다. 그 결과 제안된 방법의 성능이 보다 효율적임을 보인다.

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