• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.91-96
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• 2008

국토 모니터링을 위해서는 다양한 출처와 종류의 자료를 통합하여 제공하여야 한다. 특히 국토 모니터링의 범위에는 원격탐사와 같은 공중 모니터링과 지상 모니터링 자료가 모두 포함되기 때문에 매우 다양한 종류와 속성을 가진 지리정보 자료들이 통합되어야 한다. 본 연구에서는 다양한 출처와 종류의 지리정보자료를 효과적으로 통합하는 방법으로 형식개념분석(Formal Concept Analysis, FCA)을 살펴보고 사례분석을 통해 이 기법의 적용 가능성을 파악하고자 한다. 연구결과 형식개념분석을 통하여, 다양한 종류의 자료가 가지고 있는 중복을 제거하고 이를 체계적으로 정리하여 통합할 수 있다. 본 연구에서는 형식개념 분석의 개념을 파악하고 현재 활용되고 있는 지리정보자료들에 적용하여 평가함으로써 국토 모니터링 자료의 통합기법으로 적용될 수 있는 가능성을 연구하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.275-278
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• 2004

객체지향 프로그램에 있어 클래스계층구조는 프로그램의 뼈대가 된다. 따라서 이러한 클래스계층구조를 얼마나 잘 만드느냐에 따라 프로그램의 품질이 좌우된다. 그러나 좋은 품질의 클래스계층구조를 구축하는 작업은 객체지향 초보자에게는 쉬운 일이 아니다. 본 논문에서는 FCA(Formal Concept Analysis)기법을 이용하여 클래스계층구조 설계 도구를 BlueJ 의 확장기능으로 구현하였다. 본 연구결과는 객체지향 프로그래밍 초보자들이 클래스계층구조를 보다 수월하게 설계함으로써 좀 더 좋은 프로그램을 작성 할 수 있는 지원도구로서 제공될 수 있다.

• Proceedings of the KWS Conference
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• 2005.06a
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• pp.132-133
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• 2005

• Proceedings of the KWS Conference
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• 2005.06a
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• pp.164-166
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• 2005

• Journal of Welding and Joining
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• v.25 no.4
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• pp.4-8
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• 2007

• Journal of Internet Computing and Services
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• v.6 no.6
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• pp.163-178
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• 2005

The ultimate objective of Personal Information Management (PIM) is to collect, handle and manage wanted information in a systematic way that enables individuals to search the information more easily and effectively, However, existing personal information management systems are usually based on a traditional hierarchical directory model for storing information, limiting effective organization and retrieval of information as well as providing less support in search by associative interrelationship between objects (documents) and their attributes, To improve these problems, in this paper we propose a personal information management model based on the concept lattice of Formal Concept Analysis (FCA) to easily build and maintain individuals' own information on the Web, The proposed system can overcome the limitations of the traditional hierarchy approach as well as supporting search of other useful information by the inter-relationships between objects and their attributes in the concept lattice of FCA beyond a narrow search.

• Journal of Welding and Joining
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• v.34 no.3
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• pp.61-68
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• 2016

Characteristics of dissimilar metal welds between alloy steel ASTM A387 Gr. 91 and carbon steel ASTM A516 Gr.70 made with Flux cored arc welding(FCAW) have been evaluated in terms of microstructure, mechanical strength, chemical analysis by EDS as well as corrosion test. Three heat inputs of 15.0, 22.5, 30.0kJ/cm were employed to make joints of dissimilar metals with E91T1-B9C wire. Post-weld heat treatment was carried out at $750^{\circ}C$ for 2.5 h. Based on microstructural examination, tempered martensite and lower bainite were formed in first layer of weld metal. The amount of tempered martensite was decreased and the amount of lower bainite was increased with increasing heat input and layer. Heat affected zone of alloy steel showed the highest hardness due to the formation of tempered Martensite and lower Bainite. Tensile strengths of dissimilar welds decreased with increasing heat inputs. Dissimilar welds seemed to have a good hot cracking resistance due to the low HCS index below 4. The salt spray test of dissimilar metals showed that the corrosion rate increased with increasing heat inputs due to the increase of the amount of lower Bainite.

• Toxicological Research
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• v.14 no.3
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• pp.307-313
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• 1998

Dimethyl dimethoxy biphenylate (DDB) is an agent used to treat hepatits. DDB-S (DDB-soluble), a new DDB derivative, was synthsized to increase water solubility of the original DDB. In the present study, the antigenic potential of DDB-S was examined by active systemic anaphylaxis (ASA), passive cutaneous anaphylaxis (PCA) and passive hemagglutination (PHA) tests. The experimental groups consist of a low dosage group, a high dosage group, he group emulsified with Freund's complete adjuvant (FCA, ASA test) or an alum (PCA and PHA tests) and the macromolecule conjugate group emulsified with FCA or an alum. In the ASA test, all experimental groups showed negative responses whereas the positive control group given ovalbumin plus FCA showed severe anaphylactic responses. In the heterologous PCA test using mice and rats, positive responses were not detected in any of the experimental groups. In the PHA test, all experimental groups showed negative responses whereas the positive control group given ovalbumin plus an alum showed 512~2048 PHA titers. These results demonstrated that DDB-S does not have any antigenic potential. These can be utilized as a part of preclinical data for the development of DDB-S as an intravenous injection.

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.479-493
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• 2010

Along with the transformation of the knowledge-based environment, e-learning has become a main teaching and learning method, prompting various research efforts to be conducted in this field. One major research area in e-learning involves adaptive learning systems that provide personalized learning content according to each learner's characteristics by taking into consideration a variety of learning circumstances. Active research on ontology-based adaptive learning systems has recently been conducted to provide more efficient and adaptive learning content. In this paper, we design and propose an adaptive learning system based on the concept lattice of Formal Concept Analysis (FCA) with the same objectives as those of ontology approaches. However, we are in pursuit of a system that is suitable for learning of specific domains and one that allows users to more freely and easily build their own adaptive learning systems. The proposed system automatically classifies the learning objects and concepts of an evolved domain in the structure of a concept lattice based on the relationships between the objects and concepts. In addition, the system adaptively constructs and presents the learning structure of the concept lattice according to each student's level of knowledge, learning style, learning preference and the learning state of each concept.

• Journal of the Korea Society of Computer and Information
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• v.17 no.1
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• pp.19-30
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• 2012

Based on the internet-based infrastructures such as various information devices, social network systems and cloud computing environments, distributed and sharable data are growing explosively. Recently, as a data analysis and mining technique for extracting, analyzing and classifying the inherent and useful knowledge and information, Formal Concept Analysis on binary or many-valued data has been successfully applied in many diverse fields. However, in formal concept analysis, there has been little research conducted on analyzing interval data whose attributes have some interval values. In this paper, we propose a new approach for classification of interval data based on the formal concept analysis. We present the development of a supporting tool(iFCA) that provides the proposed approach for the binarization of interval data table, concept extraction and construction of concept hierarchies. Finally, with some experiments over real-world data sets, we demonstrate that our approach provides some useful and effective ways for analyzing and mining interval data.