http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 심홍매(Hongme Shen) (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
박미연(Mi-Yeon Park),이상헌(Sangheon Lee),심홍매(Hongme Shen),임춘성(Choon Seong Leem),김우주(Wooju Kim) 한국전자거래학회 2015 한국전자거래학회지 Vol.20 No.3
정부의 연구개발에 대한 기획 정책이 변화함에 따라 국가 R&D 지식 네트워크가 어떻게 변동하였는지에 대해 살펴보고자 한다. 이를 위해 본 연구는 산업통상자원부의 산업융합원천기술개발사업에 참여하는 각 주체들 간의 네트워크를 시기별로 분석하였다. 산업융합원천기술개발사업의 기획 정책은 2012년 전후를 기점으로 바뀌게 되는데 2012년 이전에는 ‘기획위원’ 중심으로 기획 과제를 선정하다가 2012년 이후에는 ‘PD’ 중심으로 과제를 기획하는 시스템으로 바뀐다. 이에 따라 우선, ‘기획위원’ 제도에 따른 R&D 네트워크를 분석하고자 2009년부터 2011년까지의 현황을 살펴보고, 이후 ‘PD’ 제도도입에 따른 R&D 네트워크 변동을 분석하고자 2012년부터 2013년까지의 현황으로 시기를 나누어 분석하였다. 분석 결과 PD 제도 도입 이후 셀프관계(기획자가 본인이 기획한 과제를 과제 참여자로 직접 수행하는 형태)가 대폭 개선되는 등 효과가 나타났음을 파악할 수 있었다. 셀프관계가 많을수록 신진학자에게는 기획의 불평등이 존재한다는 점을 고려할 때 PD 제도의 도입은 긍정적인 효과를 가져왔다고 볼 수 있다. 이러한 연구는 정부의 기획 정책 변화에 따른 효과를 계량적으로 분석하여 성과를 제고하고 향후 R&D 정책의 방향을 제시한다는 점에서 의미가 있다고 본다. Examined how it varied the knowledge network of the country along with R&D changes in planning policy for the research and development of government. Therefore, in this study, chronological Analysis analyzed separately the network between each entity of participate in the industry fusion source technology development business of industry trade and Energy. Planning policy of industrial fusion source technology development business, to change the starting point before and after 2012, before 2012 from selected planning issues at the center “planning committee” and in 2012 ‘PD’ changes to a system for planning issues around. First of all, an attempt to analyze the R&D network based on the “planning committee” current situation of 2009~2011, from 2012 to analyze the variation of the R&D network with the introduction of the ‘PD’ system after it was analyzed by dividing the time in the current state of up to 2013. The results of the analysis, since the PD system was introduced, such as self-relationship (the form of planning user to run directly challenges the person was planning to challenge participants)is greatly improved, I was able to grasp the effect became clear. The more the self-relation, and the budding scholars considering that there is inequality of the planning, the introduction of the PD scheme, it can be seen to have resulted in a positive effect. These studies, quantitatively analyzed to improve the results to the effects associated with changes in the planning policy of the government, I think that there is a meaning in terms of presenting the future direction of R&D policy.
-
산학연 협업 활성화를 위한 R&D 네트워크 연결 예측 연구
박미연(Mi-yeon Park),이상헌(Sangheon Lee),김국성(Guocheng Jin),심홍매(Hongme Shen),김우주(Wooju Kim) 한국지능정보시스템학회 2015 지능정보연구 Vol.21 No.3
The recent global trends display expansion and growing solidity in both cooperative collaboration between industry, education, and research and R&D network systems. A greater support for the network and cooperative research sector would open greater possibilities for the evolution of new scholar and industrial fields and the development of new theories evoked from synergized educational research. Similarly, the national need for a strategy that can most efficiently and effectively support R&D network that are established through the government’s R&D project research is on the rise. Despite the growing urgency, due to the habitual dependency on simple individual personal information data regarding R&D industry participants and generalized statistical data references, the policies concerning network system are disappointing and inadequate. Accordingly, analyses of the relationships involved for each subject who is participating in the R&D industry was conducted and on the foundation of an educational-industrial-research network system, possible changes within and of the network that may arise were predicted. To predict the R&D network transitions, Common Neighbor and Jaccard’s Coefficient models were designated as the basic foundational models, upon which a new prediction model was proposed to address the limitations of the two aforementioned former models and to increase the accuracy of Link Prediction, with which a comparative analysis was made between the two models. Through the effective predictions regarding R&D network changes and transitions, such study result serves as a stepping-stone for an establishment of a prospective strategy that supports a desirable educational-industrial-research network and proposes a measure to promote the national policy to one that can effectively and efficiently sponsor integrated R&D industries. Though both weighted applications of Common Neighbor and Jaccard’s Coefficient models provided positive outcomes, improved accuracy was comparatively more prevalent in the weighted Common Neighbor. An un-weighted Common Neighbor model predicted 650 out of 4,136 whereas a weighted Common Neighbor model predicted 50 more results at a total of 700 predictions. While the Jaccard’s model demonstrated slight performance improvements in numeric terms, the differences were found to be insignificant.
ScienceON
DBpia연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
