• Journal of Korea Multimedia Society
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• v.5 no.4
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• pp.415-425
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• 2002

In this paper, we present a content-based image retrieval method which is based on the feature extraction in the wavelet transform domain. In order to overcome the drawbacks of the feature vector making up methods which use the global wavelet coefficients in subbands, we utilize the energy value of wavelet coefficients, and the shape-based retrieval of objects is processed by moment which is invariant in translation, scaling, rotation of the objects The proposed methods reduce feature vector size, and make progress performance of classification retrieval which provides fast retrievals times. To offer the abilities of region-based image retrieval, we discussed the image segmentation method which can reduce the effect of an irregular light sources. The image segmentation method uses a region-merging, and candidate regions which are merged were selected by the energy values of high frequency bands in discrete wavelet transform. The region-based image retrieval is executed by using the segmented region information, and the images are retrieved by a color, texture, shape feature vector.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.7
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• pp.1319-1325
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• 2006

Urine analysis is basic test in clinical medicine using visual examination by expert nurse. Recently, this test is measured by automatic urine analysis system. But, this system has different results by each instrument. So, a new classification algorithm is required for accurate classify and urine color collection. In this paper, a intelligent color classifier of urine analysis system was designed using neural network algorithm. The input parameters are three stimulus(RGB) after preprocessing using normalization. The fuzzy inference and neural network ware constructed for classify class according to 9 urine test items and $3{\sim}7$ classes. The experiment material to be used a standard sample of medicine. The possibility to adapt classifier designed for urine analysis system was verified as classifying measured standard samples and observing classified result. Of many test items, experimental results showed a satisfactory agreement with test results of reference system.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11b
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• pp.561-564
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• 2003

일반적으로 피부 미용분야에서 건강모발과 손상모발을 구분하기 위해 전자현미경으로 촬영된 영상에서 모발의 벌어짐, 갈라짐, 젖혀짐, 탈락, 용해 등의 특징을 관찰하여 사용하고 있다. 그러나 주관적이고 정성적인 판단에 의존하기 때문에 수치적인 기준을 적용하는 객관성이 있는 판단이 요구된다. 본 논문에서는 영상처리 분야에서 에지 특성이 영상 분류나 검색에 사용되는 점을 활용, 에지처리된 영상의 구간별 밝기 누적정보를 비교하여 건강모발과 손상모발의 구분이 가능함을 보인다.

• Proceedings of the Korea Contents Association Conference
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• 2005.05a
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• pp.15-18
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• 2005

In Korea, researches on distance education had started in early 1980th, and began in earnest from mid 1990th. In this study, we classified academic journals which were searched by the key word of 'Distance Education" from the Database of the Library of Congress. We proposed arithmetic statistical data and implication.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10a
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• pp.297-300
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• 2000

클러스터링을 이용해서 문서를 자동으로 분류함으로서 주제별 프로파일을 생성한 후에 사용자의 취향변화에 신속하게 대응할 수 있는 에이전트의 프로파일관리 및 검색관리기법에 대한 연구

• Proceedings of the Korean Information Science Society Conference
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• 2002.10c
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• pp.289-291
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• 2002

생물다양성정보는 크게 종(species) 정보와 내용(content) 정보로 나눠 데이터베이스화한다. 이때, 분야별 데이터베이스 통합은 종에 대한 횡적인 통합과 내용에 대한 종적인 통합이 동시에 이루어지며, 분류학자들에 의해 정의된 항목과 국제적인 GSD(Global Species Database) 구축의 표준이 되는 내용들을 기반으로 구성요소들의 표준화 정의와 XML기반 표준 DTD를 작성한다. 또한 분산되어 있는 데이터베이스를 대상으로 통합 검색이 가능하도록 Mediator기법을 적용하여 관리시스템을 설계하였다.

• Journal of Information Management
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• v.37 no.4
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• pp.25-47
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• 2006

A terminology system capable of providing interpretations and classification information on a multilingual science and technology(S&T) terminology is essential to establish an integrated search environment for multilingual S&T information systems. This paper aims to build a base system to manage an integrated information system for multilingual S&T terminology search. It introduces a method to build a search system for S&T terminologies internally linked through the multilingual semantic network and a search technique on the multiple linked nodes. In order to provide a foundation for further analysis researches, it also attempts to suggest a basic approach to interpret terminology clusters generated with those two search methods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.345-351
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• 2020

Administrative agencies today are paying keen attention to big data analysis to improve their policy responsiveness. Of all the big data, news articles can be used to understand public opinion regarding policy and policy issues. The amount of news output has increased rapidly because of the emergence of new online media outlets, which calls for the use of automated bots or automatic document classification tools. There are, however, limits to the automatic collection of news articles related to specific agencies or departments based on the existing news article categories and keyword search queries. Thus, this paper proposes a method to process articles using classification glossaries that take into account each agency's different work features. To this end, classification glossaries were developed by extracting the work features of different departments using Word2Vec and topic modeling techniques from news articles related to different agencies. As a result, the automatic classification of newspaper articles for each department yielded approximately 71% accuracy. This study is meaningful in making academic and practical contributions because it presents a method of extracting the work features for each department, and it is an unsupervised learning-based automatic classification method for automatically classifying news articles relevant to each agency.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.1037-1046
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• 2014

This study aims to analyze Korea's trend of 'pattern identification(PI)' research using network analysis. We selected 368 papers from OASIS (Oriental Medicine Advanced Searching Integrated System) by review of two Korean medicine experts. Network analysis between keyword of PI studies were performed. As a result, number of PI studies has increased over the last 10 years. 'Korean journal of oriental physiology and pathology' and 'Journal of Korean oriental internal medicine' have published most papers related to PI. As research category, there are 144 papers in the cross-sectional study, and 71 papers in case report study. In the case of randomized clinical trials, there are only 3 papers. In studies for PI, stroke, pattern analysis, and blood stasis were the keywords make up the main network.

• Journal of Food Hygiene and Safety
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• v.4 no.3
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• pp.199-255
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• 1989

We reviewed studies on food poisoning in Korea from 1959-1988. Three hundred fifty three papers including original articles, review articles, and special editions were selected from thirty two journals and others. In the late 196Os, sujects related with environmental pollution were found. After the middle 1980s, the number of papers abruptly increased owing mainly to publishing the Korean Journal of Food Hygiene. The most frequently studied subject matter was Salmonellosis.