• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.229-231
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• 2002

최근 생물 유전자 정보에 대한 관심이 커지면서 이를 위한 효과적인 분석 방법이 요구되고 있다. 특히, 분류기의 데이터로 사용하기 위해서 필요한 특징만을 뽑는 과정인 특징 추출은 대량의 유전자 정보에서 의미 있는 정보를 선별하는 중요한 과정이다. 그러나 유전자 정보는 사용되는 데이터의 특징규모가 매우 크기 때문에 일반적인 데이터 마이닝 기법으로는 분석이 힘들다. 본 논문에서는 효율적인 거대규모 특징 추출을 위해 유전자 알고리즘(GA)파 신경망을 사용한 특징추출 방법을 소개하고, 종분화 기법을 사용한 효과적인 특징추출 방법을 제시한다. 그리고, CAMDA 2000에 공개된 암 DNA Microarray로 안종류를 분류하는 문제에 대하여 성능을 평가하였다.

• Electronics and Telecommunications Trends
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• v.11 no.3 s.41
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• pp.71-84
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• 1996

Girard에 의해서 1987년에 처음 소개된 선형 논리(linear logic)는 컴퓨터 사이언스에 큰 관심을 불러 일으키며 빠르게 발전하고 있다. 선형 논리는 상태 및 자원을 논리적 수준에서 다루고 있는 특징이 있다. 본 고에서는 선형 논리의 의미, 동기 및 특성을 소개하며, Gentzen의 시퀀트 계산법과 Prawitz의 자연 연역법 사이의 연관성 및 여러 증명 사이의 '같음'에 대한 개념을 컷제거 정리 측면에서 논의하고, 이러한 개념에 의하여 선형 논리의 증명이 증명망으로서 표현될 수 있음을 보인다.

• 정보보호뉴스
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• s.127
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• pp.24-26
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• 2008

최근 인터넷전화(VoIP) 사용이 증가하고 있는 가운데, 지난 4월 7-8일 양일간 삼성동 코엑스에서 의미 있는 전시회가 개최됐다. KISA가 LG데이콤, 웨어플러스 등 3개 업체와 공동으로 지난 2006년부터 3개년 사업으로 추진하고 있는 VoIP의 정보보호 연구와 그 결과물인 정보보호 시스템 전시회가 그것이다. 특히 이번 전시회에서는 종단간(End to End) 보안통신을 지원하는 인터넷전화기기를 비롯해, 스팸 확산을 방지하는 VoIP 스팸 대응, VoIP 서비스망 보호를 위한 보안세션제어 시스템 등이 선보여, 차세대 IT 서비스로 주목받는 인터넷전화 서비스의 정보보호 수준을 한 단계 끌어올릴 것으로 평가받고 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.340-342
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• 2004

Promsearch는 인간 DNA에서 코어 프로모터 영역을 예측하는 프로그램이며, PWM(position weight matrix)과 신경망을 기반으로 전사시작지점을 예측한다. 프로그램은 대량의 서열 데이터를 처리할 수 있도록 구성되었으며, 본 논문에서는 인간 염색체 22번에 대한 프로모터 예측 결과를 제시한다. Annotated된 936개의 유전자와 Promsearch가 예측한 프로모터간의 위치의 상관관계를 계산한 결과 87개에 대해 프로모터 예측 결과가 의미 있는 것으로 밝혀졌다. 예측의 민감도는 25%이며, Promsearch가 대규모 시퀀싱 프로젝트에서 나오는 대량의 서열 데이터를 1차적으로 분석하는 도구로서 사용될 수 있음을 확인하였다.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.547-550
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• 2006

The criterion which judges an information retrieval system performance is to how many accurately retrieve an information that the user wants. The search result which uses only homograph has been appears the various documents that relates to each meaning of the word or intensively appears the documents that relates to specific meaning of it. So in this paper, we suggest semantic information retrieval technique using relation within User-Word Intelligent Network(U-WIN) to solve a disambiguation of query In our experiment, queries divide into two classes, the homograph used in terminology and the general homograph, and it sets the expansion query forms at "query + hypemym". Thus we found that only web document search's precision is average 73.5% and integrated search's precision is average 70% in two portal site. It means that U-WIN-Based semantic information retrieval technique can be used efficiently for a IR system.

• School Mathematics
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• v.9 no.1
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• pp.161-180
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• 2007

The purpose of this study is to analyse how a mathematically gifted student constructs a nested signification model of three signs, while he abstracts the solution of a given NIM game. The findings of a qualitative case study have led to conclusions as follows. In general, we know that most of mathematically gifted students(within top 0.01%) in the elementary school might be excellent in constructing representamen and interpretant But it depends on the cases. While a student, one of best, is making the meaning of object in general level of abstraction, he also has a difficulty in rising from general level to formal level. When he made the interpretant in general level with researcher's advice, he was able to rise formal level and constructed a nested signification model of three signs. We suggested 3 considerations to teach the mathematically gifted students in elementary school level.

• Communications of Mathematical Education
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• v.35 no.4
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• pp.359-376
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• 2021

In this study, in accordance with the research trend that the learner's emotions expressed positively or negatively in mathematics learning or the learner's beliefs and attitudes toward mathematics learning affect the results of mathematics learning, the learner's emotions and affective factors are analyzed in the learner's own learning. A power that can be adjusted according to a goal or purpose is needed, and I tried to explain this power through meta-affect. To this end, the meaning of the definitional and conceptual factors of meta-affect was explored based on prior studies. Affective factors of meta-affect were viewed as emotions, attitudes, and beliefs, and conceptual factors of meta-affect were viewed as awareness, evaluating, controlling, utilization, and monitoring, and the meaning of each conceptual factor was also defined. In this study, the conceptual factors and meanings of meta-affect in terms of using them to help in learning mathematics by controlling them, beyond the identification or examination of the characteristics of the affective factors, which are meaningfully dealt with in the field of mathematics education.

• The KIPS Transactions:PartA
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• v.12A no.6 s.96
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• pp.557-562
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• 2005

Throughput and latency of interconnection network are important factors of the performance of multiprocessor systems. The dual-link CC-NUMA architecture using point-to-point unidirectional link is one of the popular structures in high-end commercial systems. In terms of optimal path between nodes, several paths exist with the optimal hop count by its native multi-path structure. Furthermore, transaction latency between nodes is affected by congestion of links on the transaction path. Hence the transaction latency may get worse if the transactions make a hot spot on some links. In this paper, I propose a dynamic transaction routing algorithm that maintains the balanced link utilization with the optimal path length, and I compare the performance with the fixed path method on the dual-link CC-NUMA systems. By the proposed method, the link competition is alleviated by the real-time path selection, and consequently, dynamic transaction algorithm shows a better performance. The program-driven simulation results show $1{\~}10\%$ improved fluctuation of link utilization, $1{\~}3\%$ enhanced acquirement of link, and $1{\~}6\%$ improved system performance.

• Journal of Broadcast Engineering
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• v.23 no.4
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• pp.536-548
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• 2018

Public data has been transformed from provider-oriented information disclosure to a form of personalized information sharing centered on individual citizens since government 3.0. As a result, the government is implementing policies and projects to maximize the value of public data and increase reuse. This study analyzes the issues related to public data in the news and seeks the status of government agencies and government projects by issue. We conducted semantic analysis on domestic online news and public agency bidding information including public data and conducted the work of linking major key words derived with social and economic values inherent in public data. As a result, major issues related to public data were divided into broader access to public data, growth of new technology, cooperation and conflict among stakeholders, and utilization of the private sector, which were closely related to transparency, efficiency, participation, and innovation mechanisms. Also major agencies of four issues include the Ministry of Strategy and Finance and Seoul, Ministry of Culture, Sports and Tourism and Gyeonggi-do, Ministry of Trade, Industry and Energy and Incheon, and Ministry of Land, Infrastructure and Transport and Gyeongsangbuk-do. Most of the issues are being led by the government.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.548-557
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• 2021

The purpose of this study was to determine the statistical usefulness of using atypical text data collected from media that are easy to collect to overcoming limits of the existing data related to economic activities of disabled people. In addition, by performing semantic network analysis, major issues by period that could not be grasped by statistical analysis were also identified. As a result, semantic network analysis revealed that the initiative of the public sector, such as the central and local government bodies, was strongly shown. On the other hand, in the private purchase sector, it was also possible to confirm the consumption revitalization trend and changes in production activities in the recent issue of Covid-19. While the term "priority purchase" had a statistically significant relation with the other two terms "vocational rehabilitation" and "employment for the disabled". For the regression results, while the term "priority purchase" had a statistically significant association with the other two terms "vocational rehabilitation" and "employment for the disabled". Further, some statistical analyses reveal that keyword data taken from media channels can serve as an alternative indicator. Implications for issue detection in the field of welfare economy for the disabled is also discussed.