• Journal of Multimedia Information System
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• 제4권3호
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• pp.99-106
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• 2017

This study does a qualitative and quantitative analysis of how music by humming is being used by music educators in the classroom. Music by humming is part division of music information retrieval. In order to define what a music information retrieval system is first I need to define what it is. Berger and Lafferty (1999) define information retrieval as "someone doing a query to a retrieval system, a user begins with an information need. This need is an ideal document- perfect fit for the user, but almost certainly not present in the retrieval system's collection of documents. From this ideal document, the user selects a group of identifying terms. In the context of traditional IR, one could view this group of terms as akin to expanded query." Music Information Retrieval has its background in information systems, data mining, intelligent systems, library science, music history and music theory. Three rounds of surveys using question pro where completed. The study found that there were variances in knowledge, training and level of awareness of query by humming, music information retrieval systems. Those variance relationships where based on music specialty, level that they teach, and age of the respondents.

• 한국정보처리학회논문지
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• 제4권1호
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• pp.76-86
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• 1997

기존 정보 검색 시스템의 프로세스 구조는 사용자를 위한 클라이언트 프로세스와 정보검색 시스템을 위한 서버 프로세스가 일대일로 대응하는 간단한 구조이다. 그러 나 사용자 마다 사용자 인터페이스, 검색 모델, 자동색인 및 저장 시스템으로 구성되 어 있는 큰 서버 프로세스가 하나씩 할당되기 때문에 많은 수의 사용자가 정보검색 시스템을 사용할 때 시스템 오버헤드가 커져 시스템을 사용할 수 없는 문제를 발생시 킨다. 본 논문에서는 이와 같은 기존 정보 검색 시스템의 프로세스 구조가 갖는 문제 점을 해결한 효율적인 정보 검색 시스템 구축을 위한 새로운 프로세스 구조를 제안한 다. 제안된 프로세스 구조는 정보 검색 시스템의 전체적인 동작 성능 및 컴퓨터 시스 템 자원의 효율적인 활용에 기여할 수 있게 된다. 제안된 프로세스의 구축은 프로세 스 오버헤드를 최소화하여 많은 수의 사용자 환경을 지원할 수 있는 다중 스레드와 전체 시스템의 성능을 향상시키기 위해 제공되는 트랜잭션 처리 모니터에 근거한다.

• 한국도서관정보학회지
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• 제39권4호
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• pp.261-281
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• 2008

이 연구에서는 부산 울산 경남지역의 대학도서관 전자정보자원 검색시스템과 전자정보자원 제공처의 검색시스템을 분석하였다. 도서관 검색시스템의 접근점과 검색조건들(검색어의 조합방식, 검색어 일치방식, 검색의 상세수준)은 서로 다르고 통일성이 없었다. 제공처 검색시스템의 접근점은 그 종류가 불필요할 정도로 많고 서로 달랐으나 검색조건들은 비교적 정밀하였다. 이러한 결과를 토대로 전자정보자원 검색시스템의 개선을 위한 제언을 하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제12권4호
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• pp.324-328
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• 2012

With the recent advances in information retrieval, cross-media retrieval has been attracting lot of attention, but several issues remain problems such as constructing effective correlations, calculating similarity between different kinds of media objects. To gain better cross-media retrieval performance, it is crucial to mine the semantic correlations among the heterogeneous multimedia data. This paper introduces a new method for cross-media retrieval which uses ontology to organize different media objects. The experiment results show that the proposed method is effective in cross-media retrieval.

• Journal of information and communication convergence engineering
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• 제9권3호
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• pp.282-286
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• 2011

Recently, a name retrieval function is widely used on navigation systems. In this paper, we propose the new dynamic hashing algorithm for a name retrieval function on it. The proposed dynamic hashing algorithm by constructing an index using the variance information of character is the better than existing methods in terms of storage capacity and retrieval speed. The algorithm proposed in this paper can be useful on systems that have limited resources as well as navigation systems.

• Industrial Engineering and Management Systems
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• 제4권2호
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• pp.136-144
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• 2005

This research deals with an order picking problem in automated storage and retrieval systems (AS/RS). When retrieval requests consist of multiple items and the items are in multiple stock locations, the storage/retrieval (S/R) machine must travel to numerous storage locations to complete each order. The aim of this research is to propose algorithms for the resolution of order picking problems with multiple stock locations to minimize the total time traveled by the S/R machine. We present and compare three alternatives for solving the problem based on enumeration, ordinary heuristic and genetic algorithms. We used a set of 180 different problems that are solved by these three algorithms. The results show that our proposed genetic algorithm is more efficient than the other two.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2006년도 학술대회 1부
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• pp.926-930
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• 2006

Current image retrieval techniques have shortcomings that make it difficult to search for images based on a semantic understanding of what the image is about. Since an image is normally associated with multiple contexts (e.g. when and where a picture was taken,) the knowledge of these contexts can enhance the quantity of semantic understanding of an image. In this paper, we present a context-aware image retrieval system, which uses the context information to infer a kind of metadata for the captured images as well as images in different collections and databases. Experimental results show that using these kinds of information can not only significantly increase the retrieval accuracy in conventional content-based image retrieval systems but decrease the problems arise by manual annotation in text-based image retrieval systems as well.

• 한국비블리아학회지
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• 제15권2호
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• pp.97-115
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• 2004

본 논문에서는 먼저 이미지 및 비디오 내용기반 검색 시스템 개념 및 유형을 분석 한 후 현재 상용중인 내용기반 검색시스템 5개를 선정해서 기존의 선행연구 및 각 시스템 홈페이지를 방문하여 성능을 분석 하였다. 그 결과 멀티미디어 정보검색의 효율성을 개선하기 위해서는 내용기반 검색과 주석기반 검색을 병행하는 것이 바람직한 것으로 나타났다.

• International Journal of Contents
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• 제8권2호
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• pp.1-6
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• 2012

Recently, content-based music information retrieval (MIR) systems for mobile devices have attracted great interest. However, music retrieval systems are greatly affected by background noise when music is recorded in noisy environments. Therefore, we evaluated various pre-processing methods using the Philips method to determine the one that performs most robust music retrieval in such environments. We found that dynamic noise reduction (DNR) is the best pre-processing method for a music retrieval system in noisy environments.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.1309-1312
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• 1993

We present a flexible retrieval system of face photographs based on their linguistic descriptions in terms of fuzzy perdicates. While natural for describing a face, linguistic expressions are also subjective, which affects the retrieval result. Thus, the capability of a retrieval system to adjust to different users becomes very important. In this research we use fuzzy logic techniques, for describing image data, inference for retrieval and adjustment to a new user. Experimental results of the adjustment are also included.