• Title/Summary/Keyword: 유사성 탐색

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Development Status of Military Search and Rescue System M&S Software (군 탐색구조 시스템 M&S 소프트웨어 개발 현황)

  • Kim, Jaehyun;Lee, Sanguk;Kim, Jaehoon;Ahn, Woo-Geun
    • Journal of Satellite, Information and Communications
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    • v.9 no.3
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    • pp.121-126
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    • 2014
  • ETRI(Electronics and Telecommunication Research Institute) has joined National GNSS Research Center program of Defense Acquisition Program Administration and Agency for Defense Development in 2010. The research subject is technology for MSAR(Military Search and Rescue) system configuration. In this project, we analyses the ways in order to improve the accuracy, reliability, availability for MSAR system from M&S(Modeling and Simulation). The MSAR System M&S Software can be used for performance analysis of new elements, such as ground elements and satellite elements without any hardware development. In this paper, after introduction of the architecture design and functional scope of the simulator, the performance analysis result for MSAR M&S software is presented.

데이터 기반 유사연구영역 효율성 제고 방안 및 과제 우선순위 도출에 대한 탐색적 연구 -출연연 사례 및 AHP분석을 중심으로

  • Jeong, Jae-Yeon;Choe, San;Gang, In-Je;Jeong, Jae-Ung;Han, Yu-Ri;Jeon, Seung-Pyo
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2017.05a
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    • pp.537-547
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    • 2017
  • 현재 우리나라의 GDP 대비 R&D 투자 규모는 세계최고의 수준에 이르렀다. 이러한 연구개발 예산의 양적인 확대 및 성장과 함께 상대적으로 연구개발 예산의 효율적 활용이 중요한 과학기술정책 이슈로 부각되고 있다. 본 연구는 정부 R&D사업 유사영역의 효율성 제고를 위한 정책, 전략의 수립 및 실행의 의사결정을 돕는 데이터 기반의 객관적인 지표들을 제시하였다. 그 후 본 연구에서 제시한 효율성 지표들을 NTIS에서 추출한 2015년 정부출연연구기관 R&D 사업 데이터와 연계하여 실질적으로 측정과 사용이 가능한 정량적 지표들만을 따로 선별하였다. 또한 정부 R&D사업 효율성 지표들의 가중치를 측정하기 위하여 계층분석기법(analytic hierarchy process)을 수행하였으며 계층분석기법의 결과로 나온 가중치를 효율성 지표들에 적용하여 과제 우선순위를 도출하였다. 이를 통해 정책의 수립, 실행 및 조정 시 고려해야 할 지표의 우선순위를 설정하여 유사연구영역 관련 정부 R&D 정책수립에서 실행까지의 연계를 강화시키고 국가적으로 한정된 자원의 효율적 사용을 위한 방안을 제시하였다.

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A Design of Building a Meaningful Tag Cluster (의미 있는 태그 클러스터 구축을 위한 설계 방안)

  • Park, Byoung-Jae;Woo, Chong-Woo
    • Annual Conference of KIPS
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    • 2008.11a
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    • pp.658-661
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    • 2008
  • 태깅은 웹 2.0의 핵심 기술 중 하나로, 매우 유연하고 역동적인 분류 체계를 제공한다. 하지만 유연성과 역동성의 확보에 의해 계층 구조나 연관 관계와 같은 태그의 관계성이 부족하거나 존재하지 않는 한계점을 가지고 있는 것 또한 사실이다. 이런 한계점을 보완하기 위한 방법으로 계층 관계를 형성하기 위한 계층 클러스터링 방법과, 연관 관계를 형성하기 위한 협업 필터링 방법이 존재한다. 이 두 가지 방법은 태그의 관계성을 제공하지만, 연관 관계와 계층 관계 중 하나만 제공한다는 단점을 가진다. 본 논문에서는 태그 검색 시 연관 관계뿐 아니라 계층 구조의 탐색을 제공해주기 위한 태그 클러스터링 알고리즘을 설계하였다. 제안한 알고리즘은 사용자 태그셋을 활용하여 태그의 유사성을 계산하는 방법을 제시하고, 기존의 시각화 방법(태그 구름)과 다른 새로운 형태로 시각화 할 수 있는 결과 데이터를 제공한다.

Prediction of Protein Secondary Structure Using the Weighted Combination of Homology Information of Protein Sequences (단백질 서열의 상동 관계를 가중 조합한 단백질 이차 구조 예측)

  • Chi, Sang-mun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.9
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    • pp.1816-1821
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    • 2016
  • Protein secondary structure is important for the study of protein evolution, structure and function of proteins which play crucial roles in most of biological processes. This paper try to effectively extract protein secondary structure information from the large protein structure database in order to predict the protein secondary structure of a query protein sequence. To find more remote homologous sequences of a query sequence in the protein database, we used PSI-BLAST which can perform gapped iterative searches and use profiles consisting of homologous protein sequences of a query protein. The secondary structures of the homologous sequences are weighed combined to the secondary structure prediction according to their relative degree of similarity to the query sequence. When homologous sequences with a neural network predictor were used, the accuracies were higher than those of current state-of-art techniques, achieving a Q3 accuracy of 92.28% and a Q8 accuracy of 88.79%.

Exploring Preservice Teachers' Science PCK and the Role of Argumentation Structure as a Pedagogical Reasoning Tool (교수적 추론 도구로서 논증구조를 활용한 과학과 예비교사들의 가족유사성 PCK 특성 탐색)

  • Youngsun Kwak
    • Journal of the Korean Society of Earth Science Education
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    • v.16 no.1
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    • pp.56-71
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    • 2023
  • The purpose of this study is to explore the role and effectiveness of argumentation structure and the developmental characteristics of science PCK with Earth science preservice teachers who used argumentation structure as a pedagogical reasoning tool. Since teachers demonstrate PCK in a series of pedagogical reasoning processes using argumentation structures, we explored the characteristics of future-oriented family resemblance-PCK shown by preservice science teachers using argumentation structures. At the end of the semester, we conducted in-depth interviews with 15 earth science preservice teachers who had experienced lesson design and teaching practice using the argumentation structure. Qualitative analysis including a semantic network analysis was conducted based on the in-depth interview to analyze the characteristics of preservice teachers' family resemblance-PCK. Results include that preservice teachers organized their classes systematically by applying the argumentation structure, and structured classes by differentiating argumentation elements from facts to conclusions. Regarding the characteristics of each component of the argumentation structure, preservice teachers had difficulty finding warrant, rebuttal, and qualifier. The area of PCK most affected by the argumentation structure is the science teaching practice, and preservice teachers emphasized the selection of a instructional model suitable for lesson content, the use of various teaching methods and inquiry activities to persuade lesson content, and developing of data literacy and digital competency. Discussed in the conclusion are the potential and usability of argument structure as a pedagogical reasoning tool, the possibility of developing science inquiry and reasoning competency of secondary school students who experience science classes using argumentation structure, and the need for developing a teacher education protocol using argumentation structure as a pedagogical reasoning tool.

An Exploratory Study on Social Factors Affecting Job Search Behavior (구직활동의 영향요인에 관한 탐색적 연구)

  • Lee, Byoung-Hoon
    • Journal of Labour Economics
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    • v.25 no.1
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    • pp.1-21
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    • 2002
  • This study presents an empirical analysis of job search behaviors by using the 3rd Korean Labor and Income Panel Study (KLIPS) data. The first finding of the study is that specific job search methods, respectively categorized as the indirect and the formal pattern, show the contrasting consequences of causality, as given job searchers'personal attributes and other social factors. Secondly, this analysis confirms that job searchers' education level is the most important factor that influences their behavioral patterns in a consistent manner. Moreover, it is evident in this exploratory study that job searchers' social network (particularly whether to have close ties with relatives of high social rank) is a statistically important factor to influence the extent of job search methods in use, while their fathers' education level also significantly affects the choice of job search patterns.

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The Convergence of Habermas' Communicative Action Theory and Public Relations (하버마스 의사소통 합리성과 PR커뮤니케이션 의미의 확장)

  • Kim, Yung-Wook
    • Korean journal of communication and information
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    • v.30
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    • pp.89-119
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    • 2005
  • The purpose of this essay is to converge the theory of communicative action Into the new paradigm of 'public relations democracy.' The notions of communicative action rationality, the public sphere, and deliberative democracy led new public relations paradigm approaches including meaning sharing, media access enlargement, and theoretical ramifications for the powerless. As Habermas prospected the power of comprehensive rationality to solve post-capitalist problems, the paradigm of public relations democracy visions the new era of public relations equipped with rhetorical and critical approaches. The new paradigm tries to overcome functional fallacy and embraces the concept of public interest. The paradigm of public relations democracy aims at integrating all three levels of public relations activities such as individual, organizational, and social levels, and pursues to enlarge the public sphere through increasing communicative actions and resolving social conflicts. Habermas's critical theory exhibits an opportunity for public relations theory building.

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User Group Classification Scheme for Efficient Social Search on the Facebook (Facebook에서의 효과적인 소셜 검색을 위한 사용자 그룹 분류 기법)

  • Rew, Jehyeok;Choi, Young-Hwan;Hwang, Eenjun
    • Annual Conference of KIPS
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    • 2013.11a
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    • pp.1431-1434
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    • 2013
  • 최근 소셜 네트워크 서비스 사용자의 폭발적인 증가 추세와 더불어 사용자 기반의 정보 공유 패러다임이 확산됨에 따라 효과적인 정보 공유를 위한 검색 방법 및 정보 분류의 필요성이 대두되고 있다. 소셜 네트워크 서비스는 관계도 탐색, 유사한 관심사의 사람들과 정보 공유, 추천시스템 등의 주요 서비스를 사용자 기반으로 구축하는 방향으로 연구가 진행되고 있으나 낮은 정보의 신뢰성으로 인해 지능적인 검색 및 정보 분류에 한계가 있었다. 본 논문에서는 대표적인 소셜 네트워크 서비스인 Facebook 을 기반으로, 낮은 정보의 신뢰성을 높이고 사용자의 소셜 검색 만족도를 높일 수 있는 사용자 그룹 분류 기법을 제안한다. 이를 위해 Facebook 사용자의 메타데이터를 수집하고 관계로 맺어진 사용자들간의 친밀도를 메타데이터 기반으로 계산하며 유사한 관심 정보에 따라 분류하고 효과적으로 사용자들을 그룹화한다. 마지막으로 실험을 통해 관계로 이루어진 사용자 친밀도와 그룹 분류가 효과적으로 수행되었음을 보인다.

Development of polygon object set matching algorithm between heterogeneous digital maps - using the genetic algorithm based on the shape similarities (형상 유사도 기반의 유전 알고리즘을 활용한 이종 수치지도 간의 면 객체 집합 정합 알고리즘 개발)

  • Huh, Yong;Lee, Jeabin
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.31 no.1
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    • pp.1-9
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    • 2013
  • This paper proposes a matching algorithm to find corresponding polygon feature sets between heterogeneous digital maps. The algorithm finds corresponding sets in terms of optimizing their shape similarities based on the assumption that the feature sets describing the same entities in the real world are represented in similar shapes. Then, by using a binary code, it is represented that a polygon feature is chosen for constituting a corresponding set or not. These codes are combined into a binary string as a candidate solution of the matching problem. Starting from initial candidate solutions, a genetic algorithm iteratively optimizes the candidate solutions until it meets a termination condition. Finally, it presents the solution with the highest similarity. The proposed method is applied for the topographical and cadastral maps of an urban region in Suwon, Korea to find corresponding polygon feature sets for block areas, and the results show its feasibility. The results were assessed with manual detection results, and showed overall accuracy of 0.946.

A Study on Intelligent Image Database based on Fuzzy Set Theory (퍼지이론에 기초한 지적 감성검색시스템에 관한 연구)

  • 김돈한
    • Archives of design research
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    • v.14 no.4
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    • pp.5-14
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    • 2001
  • Among Human Sensibility-oriented products a gap between the images that designers try to express through that product and users emotional evaluation becomes an issue. The data on the correlation between image words used for design evaluation and images used in the design process are especially significant. This study based on these correlations suggests a Fuzzy retrieval system supporting styling design with images and image words. In the system, the relational data are demonstrated by Fuzzy thesaurus as correlation coefficient from the degree of similarity among image words. And the degree of similarity is produced based on image evaluation. Image retrieval is conducted by the algorithm of Fuzzy thesaurus development, 1) among image words, 2) images to image words, 3) image words to images and 4) among images: 4 different modes are provided as retrieval modes. Also transfer between modes is carried by direct operating interface, therefore divergent thinking and convergent thinking is supported well. The system consists of operation for the gap and the measurement unit of emotional evaluation, and visualization units. Under unified interface environments are set in order for consistency of the operation.

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