• Journal of Scientific & Technological Knowledge Infrastructure
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• s.2
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• pp.62-67
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• 2000

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.235-238
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• 2006

Recently, as diffusing knowledge-based information society, creation and information literacy of knowledge information is being important factor. For this, creation, practice, diffusion activity of various forms information innovation through organize regional cluster is actively carrying. So, The purpose of this paper is to analyze and describe the characteristics of information seeking behavior of science-technology information of KISTI regional cluster which consisted of professor, researcher and executive.

• Journal of Scientific & Technological Knowledge Infrastructure
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• s.8
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• pp.71-77
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• 2002

본 원고에서는 국제 심포지움인 CCGRID'xy에 대한 소개를 통해 세계적 추세를 알아보고 국내 CCGrid를 위한 삼성종합기술원의 클러스터 소개 및 앞으로의 계획에 대해 지면을 할애하겠다. 효과적인 원고의 구성을 위하여 클러스터에 대한 전반적인 소개 후, CCGRID'xy 심포지움과 국내 CCGrid를 정리하겠으나, 본 원고가 그리드 특집호에 포함되는 만큼 그리드 일반에 대한 자세한 소개는 생략하기로 한다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.2 no.4
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• pp.19-41
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• 2007

This research has a goal which is suggesting the way of constructing 'Cluster' which mean scheming the commencement of an enterprise in an early stage. Now it is reorganized into a IT industry structure 'Time-to market growth' is burst as a big issue. in that point, this research analyze the core success factor which is drawing from the existing IT industrial complex, and then it will be used to draw up to the 'Idealistic growth-support Cluster' on the basis of it, we pulled out various issues about the Corporate in the early stage of its growth. Therefore, this research is focused on presenting the ideal network(net) by considering the Network that organizations and business in Cluster or the network including the factors linked organizations and business in Cluster. therefore, this research carried out three big analysis. from the case investigation we pulled out the core growth factor, and then we approached the analysis of net structure for making application to Network Analysis. and then we analyzed that the characteristics of the Network after measuring by on the basis of analyzing core growth factor. and especailly, this research carried out the Core analysis for recognition of Core- support-frame by base Centrality Test on the net which is composed of growth support organizations at each Business. Judging from this, we can help to make full use of resources for the network analysis in Cluster and establish the Network Strategy by Structure comparison between the structure of industry-Cluster and ideal Business-support networks on the basis of the analysis from the Core-success-factor

• Journal of the Economic Geographical Society of Korea
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• v.9 no.3
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• pp.318-340
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• 2006

In the last decade, there has been a widespread interest in knowledge production activities as a new engine of endogeneous growth. In the knowledge-based economy, there has been a growing importance of the patent as the index of knowledge production. Much literature suggests that knowledge production activities tend to be spatially concentrated and formed the clusters in the advanced economies. The purpose of this paper is to analyze spatial-temporal patterns of knowledge production activities in Korea based on a data set of patents from 1981-2000. This paper uses spatial statistical methods and GIS to explore the spatial dimensions of knowledge production activities in Korea. Through this research, it was found that knowledge production activities were unevenly distributed. The knowledge production activity measured by patent counts is highly concentrated in a limited number of cities. The top 10 cities accounted for 68.5% of the total number of patents in the period of 1981-2000, suggesting the existence of a strong concentration of knowledge production activities in Korea. The locations of knowledge production activities by themselves represented a strong spatial autocorrelation. The concentration of knowledge production activities in Korea is spatially correlated to the concentration of adjacent neighboring cities. The location of knowledge production activities is not free from a spatial context and spillover of knowledge production activities are heavily bounded within geographic limits, forming a spatial cluster. There appear some quite a large spatial cluster around the seoul metropolitan area.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.4
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• pp.477-493
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• 2009

This research aims to examine Korean regional innovation governance, find structural problems, and explore alternative strategies of regional innovation governance. Especially the alternative governance was searched through the case study of Daegu-Kyungbuk mobile cluster, of which formulation Samsung is the anchor institution. Regional innovation governance in this research is defined as a policy system to link knowledge generation & diffusion subsystem and knowledge application & exploitation subsystem, and institutional conditions to steer the system. "Social Capital Assessment Tool (SOCAT)" of the World Bank was utilized for the appreciation of cluster governance. The regional innovation governance of Daegu-Kyungbuk mobile cluster is characterized as production networks dominated by one-to-one relationship between Samsung and hardware/software developers, decentralized R&D networks and policy networks with multiple hubs. Major policy agents have not developed networks with local companies, and rare are interactions between the policy agents. Local companies, especially software developers, responded they have had experiences to cooperate for local problem solving and shared their community goal, however, the degree of trust in major local project leaders is not high. Local hardware/software developers with core technologies need to be cooperative to develop similar technologies or products in Daegu-Kyungbuk mobile cluster. Regional administrative actors, such as the City of Daegu and Kyungsangbuk-do, and diverse innovation-related institutes should build cooperative environment where diverse project-based cooperation units are incessantly created, taken apart, and recreated.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10b
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• pp.161-163
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• 1998

지리정보시스템과 같이 방대한 양의 공간데이터를 다루는 응용시스템에서 공간데이터베이스로부터 규칙적인 특성이나, 혹은 관심 있는 지식을 추출해내는 공간데이터마이닝의 역할은 매우 중요하다. 이를 위해 지금까지 이루어진 방법들에는 여러 가지가 있지만 그 중에서 대표적인 방법이 클러스터링으로 이는 단지 기하학적인 거리에 기반을 둔 공간적인 집중성과 분포도를 찾는 데에만 한정되어 있다. 그러나, 공간데이터마이닝을 위해서는 공간클러스터가 형성된 원인을 분석하는 것 또한 필요하다. 따라서 본 연구에서는 공간 클러스터링에서 얻어진 결과를 다른 공간적인 객체와의 연관성을 분석하여 공간적 집중성과 분포도를 유발하는 원인을 찾는 방법을 다룬다. 우선 몇 가지의 거리를 정의하는 것에 의해 클러스터와 공간객체사이의 연관성을 분석하는 방법을 제시하고, 생성된 공간 클러스터가 다수의 공간객체에 영향을 받을 경우, 그 공간 클러스터를 각각 단위클러스터로 분리하는 방법을 제시한다.

• Asia pacific journal of information systems
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• v.5 no.1
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• pp.36-51
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• 1995

본 논문에서는 비구조적인 의사결정문제를 효과적으로 해결하기 위하여 감독학습 인공신경망 모형과 비감독학습 인공신경망 모형을 결합한 하이브리드 인공신경망 모형인 HYNEN(HYbrid NEural Network) 모형을 제안한다. HYNEN모형은 주어진 자료를 클러스터화 하는 CNN(Clustering Neural Network)과 최종적인 출력을 제공하는 ONN(Output Neural Network)의 2단계로 구성되어 있다. 먼저 CNN에서는 주어진 자료로부터 적정한 퍼지규칙을 찾기 위하여 클러스터를 구성한다. 그리고 이러한 클러스터를 지식베이스로하여 ONN에서 최종적인 의사결정을 한다. CNN에서는 SOFM(Self Organizing Feature Map)과 LVQ(Learning Vector Quantization)를 클러스터를 만든 후 역전파학습 인공신경망 모형으로 이를 학습한다. ONN에서는 역전파학습 인공신경망 모형을 이용하여 각 클러스터의 내용을 학습한다. 제안된 HYNEN 모형을 우리나라 기업의 도산자료에 적용하여 그 결과를 다변량 판별분석법(MDA:Multivariate Discriminant Analysis)과 ACLS(Analog Concept Learning System) 퍼지 ARTMAP 그리고 기존의 역전파학습 인공신경망에 의한 실험결과와 비교하였다.

• Journal of the Korean association of regional geographers
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• v.15 no.5
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• pp.554-571
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• 2009

This paper explores the triple helix innovation system in Food Valley in the Netherlands which is considered one of the most innovative food clusters in the world. The triple helix approach has been so far little tackled in the literature on innovation system and cluster. However, tills approach can be a useful tool for understanding the dynamic characters and knowledge transfer mechanism of industrial cluster. On the basis of an in-depth case study, we argue that Food Valley has evolved through four circles of growth in the triple helix innovation system. From the mid-2000s onward, it is seen that Food Valley has been on the stabilized circle in the triple helix system of innovation. Centered upon Wageningen UR, local universities and research centers play a pivotal role in building the triple helix innovation system. To cope with radical changes in markets and technology since the late 1980s, local firms have made a great deal of effort to reinforce the university-industry partnership. On the other hand, government agencies have played a critical role for establishing institutional milieu that facilitate university-industry partnerships and local knowledge transfer and spillover.

• 한국디지털정책학회:학술대회논문집
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• 2003.12a
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• pp.489-505
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• 2003

본 연구는 정보통신 산업 클러스터의 사례분석을 통해 제조업과 비교.분석하여 정책적 방향을 제안하고자 한다. 국내외 정보통신 산업 클러스터의 사례로 미국의 실리콘밸리, 일본의 테크노폴리스, 중국의 중관촌, 스웨덴의 시스 타와 국내의 대덕 밸리를 중심으로 특성을 도출하고자 한다. 산업 클러스터는 마이클 포터의 연구를 시작으로 하여 OECD 에서 국가혁신체제의 주요 주제로 제안하면서 국가 경쟁력의 핵심으로 등장하게 된다. 정보통신의 발달은 지역에 기반한 글로벌 경쟁력을 가진 산업 클러스터에 대한 체계적인 연구와 이에 대한 정책개발의 필요성이 증대되고 있다. 정보통신 산업 제품의 특성상 기술혁신 속도가 빠르고 제품의 라이플 사이클이 제조업 제품에 비해 짧은 특징을 지니고 있어, 투자에 대한 위험 (risk)이 발생한다. 또한 지식창조산업으로서 생산위주의 제조업과는 다른 지리적, 공간적 특성에 차이가 있으며, 고급 인력기술자의 활용도가 높아 안정적인 환경이 요구된다. 따라서 통신, 교통 등의 물리적인 기반시설뿐만 아니라 정보통신 관련 업체간 연계와 독특한 사회.문화적인 분위기 등이 어울려져 있음을 살펴볼 수 있다. 이러한 정보통신 산업 클러스터의 특성을 통해 본 연구는 경제의 신 성장동력 중에 하나인 정보 통신산업의 경쟁력을 높이고 세계적 수출산업으로 육성, 정보통신 중심지로서의 역할 수행 및 동북아 경제 중심 실현을 위해 정책적인 제안을 한다.