• 제목/요약/키워드: Science and Technology Trends

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친환경자동차의 연구동향 분석을 통한 미래 발전방향 제안 (Part 1) (Future Research Direction through Reviewing Recent Trends in Environment-friendly Vehicles Research (Part 1))

  • 안규환;고장혁
    • 반도체디스플레이기술학회지
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    • 제21권4호
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    • pp.144-150
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    • 2022
  • In this paper, we analyze the current research technology trends through the literature reviews of technical outlines of electric vehicles and hydrogen fuel cell vehicles, domestic and overseas policy trends, etc. After analyzing the literature, we found out while the re-use and recycling of waste batteries and the in-wheel motor systems are essential areas for the development of electric vehicles and hydrogen fuel cell vehicles, the related research is not quite sufficient, so the direction for further research is proposed at the conclusion.

Fault diagnosis system using qualitative models and interpreters

  • Shin, S.;Lee, Seon-Ho;Bien, Zeungnam
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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    • pp.275-278
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    • 1996
  • This fault diagnosis system consists of qualitative models, qualitative interpreter, and inference engine. Qualitative models are formed by analysis of the relationships between faults and behaviors of sensor trends, which are described by state transition trees. Qualitative interpreter outputs confidence factors with three qualitative quantities which represent the states of sensor trends. And then, the possible faults are detected by inference module which matches the states of trends within a window size with the qualitative models using the well-known min-max operation.

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과학기술예측 대상기술 선정을 위한 주요 기술영역의 조사연구 (A Study on the Science and Technology Areas for the Third Technology Foresight of Korea)

  • 정근화;고대승;이정근;손석호;변도영
    • 기술혁신학회지
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    • 제5권1호
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    • pp.110-126
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    • 2002
  • This study reviews and compares the selection procedures for science and technology topics to predict mid- and long-term trends in science and technology development in Korea, Japan, and the United Kingdom. It then identifies science and technology topics and future technologies for the third science and technology foresight of Korea. In Japan and the United Kingdom, non-technological topics that reflect socioeconomic needs are also select-ed along with technological ones. This study provides the following policy implications to enhance reliability and effectiveness of the third science and technology foresight of Korea. First, selection of science and technology topics should coincide with the national goal, taking into account development trends in science and technology and socioeconomic needs. Second, the current prediction methodologies such as "delphi" do not fully consider future uncertainties in science and technology development. A scenario method is, for example, needed to present coherent pictures of alternative futures. finally, the third technology foresight should select and include topics that reflect domestic conditions and global trend in technological progress. This study suggests 117 topics for the third science and technology foresight.foresight.

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Science Trends

  • 현원복
    • 과학과기술
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    • 1호통권404호
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    • pp.46-49
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    • 2003
  • 세계 반도체 시장 '사활' 건 불꽃 경쟁/ 싱가포르, 첨단 생의학 기지 건설에 박차/ 미국 과학재단 예산 연간 100억 달러

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Science Trends

  • 현원복
    • 과학과기술
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    • 12호통권415호
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    • pp.106-107
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    • 2003
  • 北京大, 대대적인 개혁 추진/ 개도국, 우주진출 가능성 높아져/ '유럽연구재단' 설립계획안 제출/ 과학저널에 무료접근 길 열려/ 사스 재발에 새로운 경종

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Science Trends

  • 현원복
    • 과학과기술
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    • 11호통권414호
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    • pp.110-111
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    • 2003
  • 홍콩과학기술대학, 홍콩중국대학과의 통합 갈등/ 균류의 새로운 역할 발견/ '화학 공장'으로 바뀐 WTC 건물/ UN, 서태평양 연어 보존사업 착수

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Topics and Trends in Metadata Research

  • Oh, Jung Sun;Park, Ok Nam
    • Journal of Information Science Theory and Practice
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    • 제6권4호
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    • pp.39-53
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    • 2018
  • While the body of research on metadata has grown substantially, there has been a lack of systematic analysis of the field of metadata. In this study, we attempt to fill this gap by examining metadata literature spanning the past 20 years. With the combination of a text mining technique, topic modeling, and network analysis, we analyzed 2,713 scholarly papers on metadata published between 1995 and 2014 and identified main topics and trends in metadata research. As the result of topic modeling, 20 topics were discovered and, among those, the most prominent topics were reviewed in detail. In addition, the changes over time in the topic composition, in terms of both the relative topic proportions and the structure of topic networks, were traced to find past and emerging trends in research. The results show that a number of core themes in metadata research have been established over the past decades and the field has advanced, embracing and responding to the dynamic changes in information environments as well as new developments in the professional field.