• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.497-503
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• 2005

본 논문에서는 퍼지 RBF 네트워크를 이용한 운송 컨테이너 식별자 인식 시스템을 제안한다. 일반적으로 운송 컨테이너의 식별자들은 크기나 위치가 정형화되어 있지 않고 외부 잡음으로 인하여 식별자의 형태가 변형될 수 있기 때문에 일정한 규칙으로 찾기는 힘들다. 본 논문에서는 이러한 특성을 고려하여 컨테이너 영상에 대해 Canny 마스크를 이용하여 에지를 검출하고, 검출된 에지 정보에서 영상획득 시 외부 광원에 의해 수직으로 길게 발생하는 잡음들을 퍼지 추론 방법을 적용하여 제거한 후에 수직 블록과 수평 블록을 검출하여 컨테이너의 식별자 영역을 추출하고 이진화한다. 이진화된 식별자 영역에 대해 검정색의 빈도수를 이용하여 흰바탕과 민바탕을 구분하고 4방향 윤광선 추적 알고리즘을 적용하여 개별 식별자를 추출한다. 개별 식별자 인식을 위해 퍼지 C-Means 알고리즘을 이용한 퍼지 RBF 네트워크를 제안하여 개별 식별자에 적용한다. 제안된 퍼지 RBF 네트워크는 퍼지 C-Means 알고리즘을 중간층으로 적용하고 중간층과 출력층 간의 학습에는 일반화된 델타 학습 방법과Delta-bar-Delta 알고리즘을 적용하여 학습 성능을 개선한다. 실제 컨테이너 영상을 대상으로 실험한 결과, 기존의 식별자 추출 방법보다 제안된 식별자 추출방법이 개선되었다. 그리고 기존의 ART2 기반 RBF 네트워크보다 제안된 퍼지 RBF 네트워크가 컨테이너 식별자의 학습 및 인식에 있어서 우수함을 확인하였다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.183-192
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• 2002

본 논문에서는 구축함의 대공방어분야에 대한 업무를 IDEF0기능 모델링 방법을 통해 체계적으로 분석하였으며 미국방성의 산하기구인 DARPA에서 연구한 CPOF(Command Post Of Future) 의사결정 모델을 토대로 구축함의 대공방어분야에서 상황평가 단계에 대한 의사결정 과정을 심도 깊게 분석하였다. 또한 구축함의 대공방어분야에서 분석된 업무수행 절차를 토대로 상황평가 단계에서 의사결정과정에 따른 필요한 규칙집합을 식별하고 규칙집합 내부의 규칙들을 효과적으로 추출하기 위하여 규칙집합들에 대한 정의, 규칙에 입력되는 데이터, 규칙집합의 결과값, 규칙집합간의 상호관계를 분석하였다. 이러한 도메인 지식개발은 장차 해군 전투체계 지원용 전문가시스템을 개발하는데 중요한 기회기반이 될 것이다.

• Journal of Korean Library and Information Science Society
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• v.52 no.3
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• pp.217-238
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• 2021

The purpose of this study is to identify the problems of describing bibliographic elements such as edition, impression, and year of publication in the current Cataloging Rules, and to present improvements to the KCR and the KORMARC Format. According to changes in the information technology environment in the library, the level and scope of the cataloging that can be provided to users should be adjusted. As data is diversified and descriptive method of metadata develops, the development of bibliographic elements and the change of the descriptive method are changing the framework of the existing standardization. As a research method, we will examine the concept of edition and impression, examine the transition process of description of edition and impression targeting KCR. And we would like to present the methods of bibliographic description to be added or modified through cataloging examples, and examine the format reflected in KORMARC. This study is intended to be limited to the descriptive form of books. The bibliographic elements of the entry in the library must be fully consistent with the bibliographic elements of the material to be catalogued. This study suggests an improvement to the cataloging rules. First, the edition of the cataloging rules shall describe the edition statement and the impression statement. In addition, the description of the year of publication describes the latest year, not the first year of publication of the edition of the material to be catalogued. The descriptive scope of the year of publication is extended to the month of publication. Second, in the KORMARC format, the description of impression in edition statement is given to the identifier in the 250 field, and is numerically described as the second impression. When presenting the month and year of publication, one identifier in the field 260 describes the year of publication and the other identifier describes the month of publication. The description for the month and year of publication is stated the latest month and year on the title page and the colophon of the publication.

• Journal of KIISE:Databases
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• v.32 no.3
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• pp.219-227
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• 2005

In this paper, we propose an efficient algorithm which generates frequent itemsets by only one database scanning. A frequent itemset is subset of an itemset which is accessed by a transaction. For each item, if informations about transactions accessing the item are exist, it is possible to generate frequent itemsets only by the extraction of items haying an identical transaction ID. Proposed method in this paper generates the data structure which stores transaction ID for each item by only one database scanning and generates 2-frequent itemsets by using the hash technique at the same time. k(k$\geq$3)-frequent itemsets are simply found by comparing previously generated data structure and transaction ID. Proposed algorithm can efficiently generate frequent itemsets by only one database scanning .

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1570-1572
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• 2011

현재 KISTI에서 사용하고 있는 DOI번호 부여규칙은 일반적인 저널의 형식에 근거하여 부여할 수 있게 되어 있다. 하지만, 논문의 디지털화가 진행되면서 그리고 출판형태가 다변화되면서 기존의 DOI 부여규칙과는 다른 DOI번호부여규칙의 필요성이 제기되고 있다. 따라서 과학 분야 논문 중 신속한 유통을 위해 인쇄저널로 출판되기 전에 미리 웹상에서 서비스되고 있는 저널인 경우 새로운 DOI번호 부여규칙 체계를 마련하여 시스템을 통해 학회나 기관이 적용할 수 있도록 했으며, 식별자로서 DOI번호의 중복을 방지하기 위한 지원시스템도 구현하였다. 외국의 DOI번호 부여 방식사례를 통해 새로운 DOI 부여규칙방안을 제시하였고 학회나 기관이 시스템을 통해 직접 DOI번호를 생성하고 중복 여부를 확인할 수 있도록 지원시스템을 연구하고 구현하였다.

• Journal of Digital Convergence
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• v.11 no.5
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• pp.429-436
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• 2013

Context aware environment u-health service is to provide health service with recognition of a computer. The computer recognizes that a patient can contact real life in many context. Context aware environment service for recommend have to definition of context data and service recommendations related to factors shall be identified. In this paper, Context aware environment of u-health service will be provide context data related to identifies recommendations factors using multivariate analysis method and recommendations factors creation to decision tree, association rule based decision model. health service recommend for significantly context data can be distinguish through recommendation factors of identify. Also, context data of patient can know preference factors through preference decision model.

• Journal of Korean Library and Information Science Society
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• v.31 no.2
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• pp.139-167
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• 2000

Historical development of cataloging rules in Korea can be divided into the period of traditional single-entry cataloging, the introduction period of western cataloging rules, the period of international standardization, and the period of MARC. This study tries to review catalog organization relating to catalog structure and choice of headings, and rules for description relating to idenhfymg items from the period of traditional single-entry cataloging to the introduction period of western cataloging rules in Korea.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.380-383
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• 2015

오용 탐지모델 기반의 침입탐지시스템은 새로운 사이버 공격을 탐지하기 위해 지속적으로 탐지규칙을 생성해야 한다. 공격에 대한 특징을 정확히 식별하지 못하고 탐지규칙을 생성할 경우 많은 false positive를 발생시키며, 이로 인해 침해사고 대응시간이 늦어진다. 본 논문에서는 침입탐지시스템에서 탐지된 이벤트의 true positive와 false positive 데이터를 Keyword Tree의 node에 경로를 지나가는 횟수를 누적하는 값을 포함시킨 자료구조를 기반으로 비교분석하여 false positive를 감소시킬 수 있는 탐지규칙 패턴 생성 기법을 제안한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.4
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• pp.605-616
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• 2021

While malwares must be accurately identifiable from arbitrary programs, existing studies using classification techniques have limitations that they can only be applied to limited samples. In this work, we propose a method to utilize API call frequency to detect and classify malware families from arbitrary programs. Our proposed method defines a rule that checks whether the call frequency of a particular API exceeds the threshold, and identifies a specific family by utilizing the rate information on the corresponding rules. In this paper, decision tree algorithm is applied to define the optimal threshold that can accurately identify a particular family from the training set. The performance measurements using 4,443 samples showed 85.1% precision and 91.3% recall rate for family detection, 97.7% precision and 98.1% reproduction rate for classification, which confirms that our method works to distinguish malware families effectively.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.4
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• pp.16-41
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• 2020

Geospatial input setting to represent the reality of spatial distribution or quantitative property within model has become a major interest in earth system simulation. Many studies showed the variation of grid resolution could lead to drastic changes of spatial model results because of insufficient surface property estimations. Hence, in this paper, the authors proposed Monte Carlo Integration (MCI) to apply spatial probability (SP) in a spatial-sampling framework using a three-dimensional point cloud (3DPC) to keep the optimized spatial distribution and area/volume property of buildings in urban area. Three different decision rule based building identification results were compared : SP threshold, cell size, and 3DPC density. Results shows the identified building area property tend to increase according to the spatial sampling grid area enlargement. Hence, areal building property manipulation in the sampling frameworks by using decision rules is strongly recommended to increase reliability of geospatial modeling and analysis results. Proposed method will support the modeling needs to keep quantitative building properties in both finer and coarser grids.