• Journal of Korea Multimedia Society
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• v.12 no.11
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• pp.1692-1700
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• 2009

This paper proposes the direction distribution of surface normal vectors as a feature descriptor of three-dimensional models. Proposed the feature descriptor handles rotation invariance using a principal component analysis(PCA) method, and performs mesh simplification to make it robust and nonsensitive against noise addition. Our method picks samples for the distribution of normal vectors to be proportional to the area of each polygon, applies weight to the normal vectors, and applies interpolation to enhance discrimination so that the information on the surface with less area may be less reflected on composing a feature descriptor. This research measures similarity between models with a L1-norm in the probability density histogram where the distances of feature descriptors are normalized. Experimental results have shown that the proposed method has improved the retrieval performance described in an average normalized modified retrieval rank(ANMRR) by about 17.2% and the retrieval performance described in a quantitative discrimination scale by 9.6%~17.5% as compared to the existing method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2721-2727
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• 2009

This paper is construction on ontology_based mobile Customer Relationship Management system for efficient customer information management and analysis of medicine center. As using ontology technique, we support medicine service at grade according to quality and healthy of the customer based customer information. Proposed CRM system provides medical information and seminars to whom are necessity. For this, priority retrieval and similarity retrieval are able to be in the personnel order and the regional.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.361-364
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• 2011

오늘날, 웹 공간에서는 사진과 같은 멀티미디어 자료를 공유하기 위하여 다양한 방법으로 문서의 정보를 표현하고 있다. 이러한 정보를 이용하기 위해 제목, 내용등에서 형태소 분석을 통해 의미가 있는 단어들을 이용하는 경우도 있지만 그 문서 혹은 자료와 관련있는 태그를 기입하고 활용하는 것이 보편화 되어 있다. 본 연구에서는 위키피디아 문서를 이용하여 이미지 태그들 사이의 연관성을 활용하여 이미지 검색 순위를 조정하였다. 약 1000만건의 문서로 이루어진 위키피디아를 이용하여 태그들의 연관성을 계산하였으며, 실험결과 태그 기반의 이미지를 검색 할 때 향상된 결과를 얻을 수 있었다.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.1
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• pp.49-58
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• 2011

Recently, GIS(Geographic Information System) has been developed to personalized service for providing the specialized services that is aimed to personal user based on mobile communication. The existing GIS system provides comprehensive and simple information but GIS System for personalized service must provide the adjustive information through the personal interest profile based on POI(PoInt of Interest). This paper describes the intelligent retrieval geographical information service module for providing personal oriented geographic information service. Our proposal model consists of user preference profile, acquisition of POI through hybrid network (Wireless LAN, CDMA), service platform and implementation of prototype system. Implementation model can apply to the life information service like restaurant, oil station, convenient store and etc.

• Journal of KIISE:Software and Applications
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• v.32 no.5
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• pp.406-415
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• 2005

Prosperity of Internet led to the web containing huge number of documents. Thus increasing importance is given to the web information retrieval technology that can provide users with documents that contain the right information they want. This paper proposes several techniques that are effective for the improvement of web information retrieval. Similarity between a document and the query is a major source of information exploited by conventional systems. However, we suggest a technique to make use of similarity between a sentence and the query. We introduce a technique to compute the approximate score of the sentence-query similarity even without a mature technology of natural language processing. It was shown that the amount of computation for this task is linear to the number of documents in the total collection, which implies that practical systems can make use of this technique. The next important technique proposed in this paper is to use stratification of documents in re-ranking the documents to output. It was shown that it can lead to significant improvement in performance. We furthermore showed that using hyper links, anchor texts, and titles can result in enhancement of performance. To justify the proposed techniques we developed a large scale web information retrieval system and used it for experiments.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.190-194
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• 2003

자연언어 질의문에서 추출된 키워드들은 정답추출에 미치는 비중이 다른 경우가 많지만 키워드들에 대해 상대적인 가중치를 부여하기가 어렵다. 본 논문에서는 이러한 문제점을 해결하기 위하여 질의 문장의 구문 정보를 이용하여 중심키워드와 일반키워드들로 구분하였으며 이를 기반으로 키워드들 간의 가중치 부여 방법을 제안한다. 질의문 코퍼스로부터 질문 유형을 분석하여 구문을 추출하고 추출된 구문정보를 이용하여 질의문에서 키워드들을 추출한다. 이렇게 얻어진 키워드들을 이용하여 다량의 문서들 속에서 중심키워드와 일반키워드들 간의 불린 검색을 통해 질의문의 정답이 포함되었을 가능성이 큰 단락을 추출하고, 질의문과 추출된 단락간의 유사도 측정을 통해 단락을 순위화 한다. 본 논문에서 제안하는 시스템은 질의문의 정답이 포함된 단락추출에 대한 정확도를 향상시킬 것으로 기대된다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.17-21
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• 2006

도메인 기반 단백질 상호작용 예측 기법은 지난 몇 년 동안 활발히 연구되어 왔다. 도메인 기반 접근 방법 중에서도 도메인 조합 기반 단백질 상호작용 가능성 순위 부여 기법은 예측 정확도면에서 다른 기법보다 월등한 결과를 보여주고 있다. 그러나 학습 집단을 사용하는 특징 때문에 전체 도메인 정보를 이용할 수 없는 단점이 있다. 또한, 이 시스템은 도메인 정보가 부족하여 다른 기능을 하는 단백질이라도 같은 도메인 정보를 보여주기 때문에 예측 시스템의 결점을 드러내고 있다. 도메인 조합 기반 단백질 상호작용 가능성 순위 부여 기법은 InterPro 데이터베이스의 도메인 정보를 기반으로 사용한다. InterProScan은 InterPro의 여러 멤버 데이터베이스의 정보를 기반으로 Sequence 분석을 하는 소프트웨어로써 검색 후 단계에서 찾아낸 결과들을 e-value를 기반으로 여과한다. 본 논문에서는 제시된 e-value를 조정 방법을 사용함으로써 단백질 내 도메인 패턴의 다양화와 기존 도메인 정보가 없던 단백질의 도메인을 새롭게 발견할 수 있으나 접근 방식의 한계가 존재함을 확인할 수 있었다.

• KIISE Transactions on Computing Practices
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• v.20 no.9
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• pp.498-506
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• 2014

With the development of smart transportation, people are likely to find their paths by using navigation and map application. However, the existing retrieval system cannot output the correct retrieval result due to the inaccurate query. In order to remedy this problem, set-based POI search algorithm was proposed. Subsequently, additionally a method for measuring POI name similarity and POI search algorithm supporting classifying duplicate characters were proposed. These algorithms tried to compensate the insufficient part of the compensate set-based POI search algorithm. In this paper, accuracy improvement methods for measuring string similarity in POI data retrieval system are proposed. By formulization, similarity measurement scheme is systematized and generalized with the development of transportation. As a result, it improves the accuracy of the retrieval result. From the experimental results, we can observe that our accuracy improvement methods show better performance than the previous algorithms.

• Journal of Korea Multimedia Society
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• v.5 no.1
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• pp.1-9
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• 2002

Video server which stores video streams should serve more users with the requested streams rapidly, satisfying their time constraints. In this paper, we propose the storage system that does not only maintain fast responses but also increase the number of users supported, with satisfying the time constraints characteristics of the video streams. When the video streams are retrieved in storage system under multiple disks environments, it can not only maintain the rapid responses but also can save the disk bandwidth owing to the retrieval based on priority. Also, it utilizes the given buffer capacity efficiently owing to determining the stream segment size heuristically, which is adapted to the buffer capacity Consequentially, these policies can increase the number of users supported. The correctness of the proposed policies is not only analyzed theoretically but also evaluated through simulations.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2002.11a
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• pp.425-432
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• 2002

The purpose of this study is to help implement KISTI knowledge management systems through analysis of ordering which is most important among system characteristics. This study uses Delphi technique to specialist in science and technology knowledge content area for empirical analysis. The result of this study is as fellowed First the most important characteristic is retrieval function in systems. Second knowledge management systems basic characteristics like as retrieval function storage/retention function accessibility, easy of use, classification function lank high position while additional characteristics like as knowledge linkage knowledge evaluation personalization communication supporting, multimedia supporting lank low position.