• Title/Summary/Keyword: 미래유망기술

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Generation of Hot Patent and it's Statistical Analysis (Hot Patent생성과 통계적 분석)

  • Kwon, Oh-Jin;Noh, Kyung-Ran;Lee, Bang-Rae;Hong, Sung-Hwa
    • Proceedings of the Korea Contents Association Conference
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    • 2009.05a
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    • pp.294-299
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    • 2009
  • The studies were conducted constantly to detect emerging technology, in order to make sustainable growth of business and to make development of future nations. But there were many controversies because definition of emerging technology might be dependent of the subject's viewpoint and because it might be different to a point of time that emerging technology is applied to the present or the future. This paper sets times of emerging technology to the present and defines emerging technology as patents significantly used in developing current technology. US Patents and patent citation data were gathered from 1976 to 2007. We constructed hot patents pools that were utilized actively in developing new technologies regardless of times. We built a mapping table from IPC classification code to WIPO 32 technology category and analysed a half-life cycle according to specific technology groups.

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Detection of Emerging Technology by Using Highly Cited Papers (고피인용 논문을 활용한 유망기술 발굴)

  • Lee, June-Young;Kim, Do-Hyun;Ahn, Se-Jung;Noh, Kyung-Ran;Kwon, Oh-Jin
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.11
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    • pp.1655-1664
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    • 2013
  • Recently, it becomes essential to forecast the future and identify emerging technologies in order to improve R&D efficiency and gain a competitive advantage under rapidly changing environment of science and technology. Therefore this research aims to identify the future and emerging technologies especially for the industry and applied it to list top ten emerging technologies. In this study, we identify research fronts across all areas of science and technology through verifying and comparing the 2008 and the 2012 surge in research activities. Finally we detect rapidly increasing 10 promising technology areas. This research results are expected to provide valuable information to support stragegic and policy decision making.

Emerging Research Field Selection of Construction & Transportation Sectors using Scientometrics (과학계량학적 정보분석을 통한 건설교통분야의 유망연구영역도출)

  • Jeong, Eui-Seob;Cho, Dae-Yeon;Suh, Il-Won;Yeo, Woon-Dong
    • The Journal of the Korea Contents Association
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    • v.8 no.2
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    • pp.231-238
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    • 2008
  • With the development of methodologies, there are also the researches for the concrete item selection for selecting the future emerging researches and technologies. In this paper, we use scientometrics for that purpose in the sectors of construction and transportation. In our scientometric analysis, we use Scopus database, top 1% cited papers, bibliographic coupling, cosine coefficient, and hierarchical clustering and then carry additional experts verification on our results. We try to show the detailed process of scientometric analysis and its possibility as objective methodologies to select the future emerging researches and technologies.

Emerging Research Field Selection of the Constructive Traffic for Information Analysis of Scientometrics (과학계량학 정보분석을 통한 건설교통분야의 유망연구도출)

  • Jeong, Eui-Seob;Yeo, Woon-Dong;Cho, Dae-yeon;Suh, IL-Won
    • Proceedings of the Korea Contents Association Conference
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    • 2007.11a
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    • pp.153-159
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    • 2007
  • With development of the methodology for the selection of future emerging research and technology subject it will reach and the research for the concrete item selection which leads is propelled. It uses scientometrics objective indexes and accomplished information analysis of highly cited paper(HCP) & Clustering from the present paper. Scopus data about under using it accomplishes information analysis of construction traffic fields. It selects emerging research of construction traffic fields, it compares a national for technical trend.

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과학기술이 만들어 낼 미래 직업

  • Kim, Jung-Jin
    • The Science & Technology
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    • no.8 s.435
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    • pp.40-41
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    • 2005
  • 하루가 멀게 변하고 발전해 가는 과학기술, 그렇다면 앞으로 20~30년 후 과학기술이 만들어 낼 직업군은 어떤 모습과 형태로 우리에게 다가올 것인지... 이번호에 '들어가기' 글을 시작으로 미래의 유망직업, 인기직업, 이색직업 등에 대해 관련전문가의 연구결과를 중심으로 소개코자 한다.

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Defense Informationization Outlook and Emerging Defense Information Technologies (국방정보화 전망과 미래 유망 국방정보기술 발굴)

  • Seo, Min-Woo;Gwan, Gyoung-Yong
    • Journal of Technology Innovation
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    • v.19 no.2
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    • pp.77-97
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    • 2011
  • Information technologies are changing rapidly in recent years because of the latest IT development and technology convergence. Therefore, government tries to choose technologies required to achieve mid and long-term strategic technical development target and present technology road map. We established national defense scientific technology plan process for weapon systems. However, national defense IT plan process has not been established yet. Accordingly, in this paper, we suggested outlook of future national defense informationization through national defense Information Technology environment analysis, and discovered future potential Information Technology for national defense through methodology of investigation and analysis and suggested Defense IT Planning development.

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A Study on the Projection of the IT-based Promising Technologies Utilizing Patent Database (특허 정보를 활용한 IT 유망기술 도출에 관한 연구)

  • Kim, Pang-Ryong;Hwang, Sung-Hyun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.10B
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    • pp.1021-1030
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    • 2009
  • Advanced countries, in recent, are trying hard to acquire intellectual properties on the promising technologies for prior occupation in the future market. The purpose of this study is to derive the IT-based Promising Technologies and find out their implications, focusing on the US patent market known as the most competitive in the world patent market. In this paper, We give a manipulated definition on the IT-based Promising Technologies and deduct the Promising Technologies based on the definition. To accomplish this purpose, we have utilized the US patents granted for the period 2001-2008 in the IT technology. As a result, we have found that 69 fields are classified as the Promising Technologies among 803 IT fields in a criterion of IPC main-group.