• Title/Summary/Keyword: 녹색기사

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Analyzing technological convergence trends in green technology (녹색기술 분야의 융합 동향 분석)

  • Kwon, young-il
    • Proceedings of the Korea Contents Association Conference
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    • 2016.05a
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    • pp.337-338
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    • 2016
  • 녹색기술정보포털 기사 정보와 회원정보를 이용하여 전체 녹색기술 분야에 대한 패스파인더 네트워크와 최근접 이웃 중심성을 도출하고 분야별 융합 동향을 분석하였다. 분석결과, 전체 녹색기술 분야 중에서 실리콘 태양전지 및 고효율 2차전지 등의 에너지 고효율화 분야에 대해 회원들의 관심이 높은 것으로 나타났으며, 실리콘 태양전지 분야에서 다른 녹색기술과의 융합이 가장 활발하게 이루어지는 것으로 분석되었다.

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에코피플 - 새로운 녹색바람! 기분좋은 변화! "살기좋은 환경.복지 도시건설에 앞장"

  • 환경보전협회
    • Bulletin of Korea Environmental Preservation Association
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    • s.383
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    • pp.2-6
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    • 2009
  • 오산시는 무한성장 잠재력을 지닌 수도권 남부측의 중심도시로서 최근 들어 역동적인 도시로 급속도로 빠르게 변화하고 있다. 본지에서는 지난 8월 6일 환경 복지 도시건설에 앞장서고 있는 이기하 오산시장을 만나 저탄소 녹색성장에 대비한 오산시의 주요 환경정책 현황에 대하여 이야기를 들어봤다. 이기하 오산시장은 환경기사(수질) 자격증을 취득했을 만큼 환경에 대하여 많은 관심과 남다른 철학을 지니고 있었으며 전국 최초로 모든 환경기초시설을 집적해 놓은 환경타운을 조성하였다. 이 외에도 택지개발, 산업단지 확장 조성과 일자리창출, 서민생활 안정대책 등을 위해서도 많은 시정을 펼치고 있다.

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Cognitive Map Analysis for Policy Agenda Setting : a case of the Green Growth in Korea

  • Kim, Dong-Hwan;An, Jiyoung;Lee, Eunkyu
    • Korean System Dynamics Review
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    • v.17 no.1
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    • pp.65-75
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    • 2016
  • 21세기 들어 기후변화와 지구 온난화로 인한 환경에 대한 정책적 관심이 높아져 왔다. 21세기 초에 집권하였던 한국의 이명박 정부에서는 '녹색 성장(green growth)' 정책을 내걸어서 환경 정책과 경제 성장 정책을 동시에 포괄하고자 하였다. 본 논문에서는 어떠한 과정을 거쳐서 녹색 성장 정책의 아젠다가 형성되었는지를 연구하고자 한다. 이를 위해 본 연구에서는 녹색 성장이라는 정책 아젠다가 형성되는 행태적 과정에 관한 시계열 분석과 함께 구조적 측면으로서 인지지도 분석을 수행한다. 정책 아젠다의 시계열 분석을 위하여 신문 기사와 정책 보고서를 분석하며, 이명박 대통령의 연설문을 분석하여 인지지도를 구축한다. 정책 형성에 관한 시계열 분석 결과 녹색성장의 정책 아젠다 형성에 있어서 정치적 요인에 대한 고려가 사회적 이슈나 정책적 이슈보다 중요한 역할을 수행하였다는 점을 발견할 수 있었다. 다른 한편으로 본 연구의 인지지도 분석은 이명박 대통령의 녹색성장 정책이 미래의 다중 위기에 대한 대응으로 나왔으며, 환경의 발전에 초점을 둔다기 보다는 경제적 발전 특히 일자리 창출을 지향하고 있다는 점을 보여주었다. 본 연구는 인지지도 분석을 통하여 시계열 분석으로는 발견할 수 없는 정책형성의 구조적 관계성을 이해할 수 있다는 점을 보여준다.

공공도서관 민간위탁의 허와 실

  • Yun, Jeong-Gi
    • KLA journal
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    • v.38 no.5 s.306
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    • pp.47-49
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    • 1997
  • 이 자료는 9월 25일 녹색소비자문제연구원(원장 김성희 · 광주시 소재 소비자운동단체)이 개최한 "광주광역시립도서관 민간위탁 관련 시민단체 토론회"에서 발표된 내용을 요약한 것으로, 이날 토론회에는 홍현진(전남대 문헌정보학과) 교수, 조수웅(광주광역시의회)의원, 박춘균(광주광역시무등도서관)사서과장, 이용훈(한국도서관협회) 기획부장 등이 참석, 8월 초 광주광역시가 현재 운영하고 있는 2개도서관과 앞으로 개관할 예정인 1개 도서관의 운영을 민간에 위탁하기로 신문지상에 신청자모집광고를 내면서 (관련기사 지난호 57쪽 참조) 중대한 사안으로 떠오른 「공공도서관의 민간위탁」에 대한 논의가 있었다. ■편집자주

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An Analysis of Keywords on 'School Space Innovation' Policies using Text Mining - Focused on News Articles - (텍스트 마이닝을 활용한 '학교 공간 혁신' 정책 키워드 분석 - 뉴스 기사를 중심으로 -)

  • Lee, Dongkuk
    • The Journal of Sustainable Design and Educational Environment Research
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    • v.19 no.2
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    • pp.11-20
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    • 2020
  • The goal of this study was to investigate the implementation and related issues of the school space innovation issued by key Korean mass media using text mining. To accomplish this goal, this study collected 519 news articles associated with the school space innovation issued by 54 Korean mass media companies. Based on this data, this study performed the frequency analysis and network analysis regarding the keywords. Based on the findings, the characteristics of school space innovation are summarized as follows: First, school space innovation has progressed in response to future education. Second, users are actively participating in school space innovation. Third, experts are supporting the innovation of school space by establishing a cooperative system. Fourth, the community is actively considering the innovation of school space. Fifth, the main projects of the Ministry of Education and the Provincial Offices of Education are actively conducted in a mix of top-down and bottom-up approaches. The findings of this study will contribute to providing a clear direction for contemporary school space innovation and implications for future research agenda and implementation.

Topic Model Analysis of Research Trend on Renewable Energy (신재생에너지 동향 파악을 위한 토픽 모형 분석)

  • Shin, KyuSik;Choi, HoeRyeon;Lee, HongChul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.9
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    • pp.6411-6418
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    • 2015
  • To respond the climate change and environmental pollution, the studies on renewable energy policies are increasing. The renewable energy is a new growth engine technology represented by the green industry and green technology. At present, the investments for the renewable energy supply and technology development projects of three main strategy sectors such as sunlight, wind power and hydrogen fuel cell are implemented in our country, while they are still in the early stage, accordingly reducing those uncertainty for the research direction and investment fields is the most urgent issue among others. Thus, this study applied text mining method and multinominal topic model among the big data analysis methods on our country's newspaper articles concerning the renewable energy over the last 10 years, and then analyzed the core issues and global research trend, forecasting the renewable energy fields with the growth potential. It is predicted that these results of the study based on information and communication technology will be actively applied on the renewable energy fields.

Analysis Method Study of Film Text using Word Vectors of Language Model (언어모델의 단어벡터를 이용한 영화 텍스트 분석 기법 연구)

  • Kwangho Ko;Juryeon Paik
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.6
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    • pp.703-708
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    • 2024
  • LSTM, a deep learning technique for building language models, can be easily trained on systems with small computing resources, unlike large language models. In this paper, we propose a convergent technique to train LSTM-based language models on small-scale texts and perform objective semantic and relational analysis on the main topic words of the text using the word vectors of the vocabulary comprising the text. Using the word vectors of a small language model trained on the English script of the 2021 movie "Green Knight" directed by David Lowery as a text, we proposed a technique that can analyze the meaning and relationship of the main topic words. Through the similarity operation of the word vector, the meaning and symbolism of each theme word can be objectively analyzed with the similarity scores between the words. The relationship between each theme word can be intuitively recognized by displaying the dimensionality-reduced two-dimensional word vector. By using a small-scale language model of the LSTM method, we proposed a method to analyze complex texts using word vectors while minimizing the cost of learning.

Discovering the Knowledge Structure of Graphene Technology by Text Mining National R&D Projects and Newspapers (국가R&D과제와 신문에서 텍스트마이닝을 통한 그래핀 기술의 지식구조 탐색)

  • Lee, Ji-Yeon;Na, Hye-In;Lee, Byeong-Hee;Kim, Tae-Hyun
    • The Journal of the Korea Contents Association
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    • v.21 no.2
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    • pp.85-99
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    • 2021
  • Graphene, called the "dream material" is drawing attention as a groundbreaking new material that will lead the era of the 4th Industrial Revolution. Graphene has high strength, excellent electrical and thermal conductivity, excellent optical permeability, and excellent gas barrier properties. In this paper, as the South Korean government recently announced Green New Deal and Digital New Deal policy, we analyze graphene technology, which is also attracting attention for its application to Corona 19 biosensor, to understand its national R&D trend and knowledge structure, and to explore the possibility of its application. Firstly, 4,054 cases of national R&D project information for the last 10 years are collected from the National Science & Technology Information Service(NTIS) to analyze the trend of graphene-related R&D. Besides, projects classified as green technology are analyzed concerning the government's Green New Deal policy. Secondly, text mining analysis is conducted by collecting 500 recent graphene-related articles from e-newspapers. According to the analysis, the field with the largest number of projects was found to be high-efficiency secondary battery technology, and the proportion of total research funds was also the highest. It is expected that South Korea will lead the development of graphene technology in the future to become a world leader in diverse industries including electric vehicles, cellular phone batteries, next-generation semiconductors, 5G, and biosensors.

A study on Maintenance Plan for Marine Design of Waterfront in the Domestic Coast (국내 연안에 있어서 워터프론트의 해양디자인 정비 방안 연구)

  • Choi, Jin-Sik
    • Journal of Convergence for Information Technology
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    • v.11 no.9
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    • pp.8-16
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    • 2021
  • The purpose of this study is to suggest a development plan for the waterfront in the coastal ocean. The research method is conducted mainly on various materials such as marine design, waterfront, marine industry, harbor waterfront space, marine landscape related reports, papers, and articles. As a result, it was found that it is urgent to move, dismantle, and manage various sculptures or structures that are installed on the shore and cause visual pollution. The location management and maintenance of indiscriminately scattered fishing grounds are urgently needed, secure sufficient green buffer space, develop coastal marine roads across the country, create eco-tourism sites, contribute to regional revitalization and secure the production value of aquatic products by restoring the ecosystem. This study is expected to contribute to suggesting a direction for maintenance by focusing on the main management measures of the waterfront rather than the aspect of reckless development of marine design.