• 정보처리학회논문지D
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• 제12D권1호
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• pp.111-120
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• 2005

소프트웨어 개발은 다양한 산출물(클래스 부품, 클래스 다이어그램, 폼, 객체, 디자인 패턴)을 생성한다. 단 논문은 이런 산출물의 효율적인 추출 및 분류를 위한 Index/XML 순서관계 시스템을 제안한다. 이 시스템에서 산출물 순서 관계 추출은 패턴 관계정보를 메타 모델링 할 수 있으며 데이터베이스 할 수 있어 재사용 및 저장이 용이하다. 이 Index/XML 순서관계 시스템은 산출물의 추출과 분류를 위한 여러 가지 산출물의 관계 정보를 쉽게 변형할 수 있다. 이 시스템은 디자인 패턴을 효율적으로 분류 추출할 수 있도록 설계한다. 기능적인 인덱싱, 표준 패턴을 위한 순서 기준 인덱싱은 인덱스 아이디로 그룹화 할 수 있으며 분류할 수 있어 효과적이다. 이 정보론 이용하여 산출물들을 효과적으로 분류 및 추출을 할 수 있다.

• 대한수학회보
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• 제54권1호
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• pp.243-251
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• 2017

We get a $Schr{\ddot{o}}dinger$ uncertainty relation for the monotone triple skew information which was introduced by Yanagi and Kajihara. This information extends the monotone pair skew information as well as Wigner-Yanase-Dyson skew information.

• 한국콘텐츠학회논문지
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• 제4권2호
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• pp.36-42
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• 2004

본 논문은 대규모 지식베이스와 언어 자원의 부족 문제를 해결하기 위한 동사의 구문 관계 정보를 이용한 한국어 질의-응답 시스템에 대해 기술한다. 구문 관계 정보는 동사의 원형, 사용 패턴, 각 문장 성분들의 의미 속성, 유의 동사 등의 정보를 담고 있다. 문장 및 구에 대한 구문분석은 구문관계 정보에 나타난 동사에 의존적인 문장 성분들의 의미속성과 동사의 일반적인 사용 패턴을 활용한다. 또한 정답후보 문장들의 구문분석을 위해 구문 관계 정보를 사용하고, 질의문의 격 슬롯(case slot)으로부터 정답을 찾기 위해 구문관계 정보를 사용한다. 실험에서 동사의 구문 관계 정보의 이용이 대규모 지식베이스와 언어 자원의 부족 문제를 해결하기 위해 한국어 질의-응답 시스템에 효율적으로 활용될 수 있음을 보였다.

• 기술혁신학회지
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• 제3권3호
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• pp.67-84
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• 2000

This paper expanded the usefulness of technology relation analysis by applying to R&D activities of Korea Gas Corporation (Kogas) at the corporate level. Technology relation analysis has been applied to assessment of R&D investments in telecommunication and construction industries in Korea. As empirical findings, technology map and technology spillover matrix of Kogas have been derived by technology similarity analysis. It has bee found that various useful information for R&D assessment could be acquired from the technology relation analysis at the corporate level.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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• pp.260-280
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• 2020

Cyber-attacks emerge in a more intelligent way, and various security technologies are applied to respond to such attacks. Still, more and more people agree that individual response to each intelligent infringement attack has a fundamental limit. Accordingly, the cyber threat intelligence analysis technology is drawing attention in analyzing the attacker group, interpreting the attack trend, and obtaining decision making information by collecting a large quantity of cyber-attack information and performing relation analysis. In this study, we proposed relation analysis factors and developed a system for establishing cyber threat intelligence, based on malicious code as a key means of cyber-attacks. As a result of collecting more than 36 million kinds of infringement information and conducting relation analysis, various implications that cannot be obtained by simple searches were derived. We expect actionable intelligence to be established in the true sense of the word if relation analysis logic is developed later.

• 경영과정보연구
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• 제3권
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• pp.133-150
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• 1999

This paper proposes to study on the interoperation between Relation Database(RDB) and Object-oriented database(OODB). It also describes some Characteristics of OODB and introduces the UniSQL system. This paper suggests a new systemcalled URODB (Unifide Relation & Object-oriented database) that will overcome the limits of OODB, improve the shortcomings of the present RDB, and increase the interchangeability in particular.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2007년도 정기학술대회
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• pp.415-421
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• 2007

This paper proposes a convolution tree kernel-based approach for relation extraction where the parse tree is expanded with entity features such as entity type, subtype, and mention level etc. Our study indicates that not only can our method effectively capture both syntactic structure and entity information of relation instances, but also can avoid the difficulty with tuning the parameters in composite kernels. We also demonstrate that predicate verb information can be used to further improve the performance, though its enhancement is limited. Evaluation on the ACE2004 benchmark corpus shows that our system slightly outperforms both the previous best-reported feature-based and kernel-based systems.

• 한국정보시스템학회지:정보시스템연구
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• 제15권1호
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• pp.191-213
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• 2006

The purpose of this research is to identify the structure among determining factors focusing on knowledge transfer and analyze and prove the causal relation on knowledge transfer in Korean companies and public corporations. The results from the analysis of data collected in this study are as follows. First, forum among organization related factors has the positive relation with uncertainty in a significant level. Second, the higher the knowledge presentation and the ease of use are among information systems related factors, the lower the ambiguity and uncertainty are. Third, among process related factors, unification has the negative relation with ambiguity and uncertainty in a significant level. Fourth, a better manpower employment contributes to a worse ambiguity and uncertainty. Fifth, ambiguity has a negative relation with knowledge transfer. In conclusion, the factors that lower the ambiguity and facilitate knowledge transfer include information systems, unification, and manpower employment. These factors, however, influence on uncertainty, which turns out to be nothing to do with knowledge transfer.

• Journal of Information Science Theory and Practice
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• 제1권2호
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• pp.84-92
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• 2013

In this study, the properties of the object types required to describe the relationship among research data resources, which may be generated during the life cycle of the research, are derived. The properties of Fedora Commons and DSpace, which are open source software used for resource management, and schema properties published in DataCite were analyzed. Based on relation names of Fedora Commons, nine new relation names were derived. Thirty-eight object type properties consolidating the target properties of the analysis were derived. The result of this study can be used as basic material for crosswalk research studies of object type relation terms to ensure interoperability among the systems.

• 한국수학교육학회지시리즈A:수학교육
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• 제46권4호
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• pp.483-492
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• 2007

The purpose of this study was to investigate the relation between the cognitive processes and the mathematical achievement of the 4th grade students. And according to the several studies, there were significant relation between cognitive processes and achievement. Based on the PASS(Planning-Attention-Simultaneous-Successive Processes) Model presented by Das and Naglieri, four cognitive process variables were selected. The results of this study as follows. First, there was not significant relation between attention and mathematical achievement. Second, there was significant relation between planning and mathematical achievement. Third, there was significant relation between simultaneous/successive processes and mathematical achievement. Fourth, the students who got higher scores in the two types (simultaneous/successive)of information processing had more mathematical achievement. Specially, the students who got higher scores in the type of simultaneous information processing had higher scores in mathematical achievement. These results indicated that planning and simultaneous information processing had influence on the mathematical achievement.