• Journal of Navigation and Port Research
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• v.30 no.1 s.107
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• pp.45-51
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• 2006

This paper aims to analysis on evaluation factor for success of port innovative cluster. This paper is divided three factors such ac policy, source and operation In addition, three factors are divided into the twelve detail factors. From a total of 30 survey cases, 50 percent randomly selected as the training group and the other 50 percent as the validation group. cases in the training group were used in the development of the Kohonen Network The validation group was used to test the performance of this model. The major findings may be summarized as follows; The prediction accuracy rate is $73.33\%$ The weight of real root and detail factors is calculated by Kohonen Network At the result, success prediction group of port innovative cluster, this paper places the priority on the source factor.

• World Technopolis Review
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• v.1 no.1
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• pp.42-55
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• 2012

This paper is concerned with the linkages between universities and industry in the information and communications technology (ICT) in Cyberjaya, Malaysia and Cyberabad, India. In the case of the ICT cluster of Cyberjaya, the context can be termed as greenfield cluster development as the whole project is developed from scratch. In the case of Cyberabad, India, the context can be seen as a brownfield development, where the cluster developed based on existing and new organisations in a region. There is extant literature in research, be it from an Innovation systems or a Triple Helix perspective that has given significant attention to the importance of universities as engines of growth and also about the significance of their linkages with industry innovation in regions. But as argued by scholars like Chaminade et al, most of these papers tend to ignore the specific context in which this interaction between the university and the industry takes place - this study aims to fill this gap through an exploratory study from emerging economies and in a greenfield and brownfield contexts. The findings from the two cases point towards (1) the role of intermediary organisations in developing the linkages, (2) the issue of capabilities of universities for supporting industry development and (3) university-industry linkages are different in greenfield and brown field developments. The paper presents the cases and discusses the findings and provides insights to cluster development officials and policy makers and implications to researchers for developing studies of university-industry from a capabilities and context perspectives.

• Journal of the Korean association of regional geographers
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• v.19 no.3
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• pp.401-415
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• 2013

This study aims to examine the characteristics of interaction among innovative actors including industry, university and government, participating in cultural contents industry cluster in Daegu. Specifically, the study focuses on the change of role for each actor. Triple helix of cultural contents industry cluster in Daegu has been developed backed up by strong contribution of both industry and government, and by interaction between them. However, As technologies surrounding cultural contents industry become complicated and diversified, The role of the university as an entrepreneurial university is more important. In this sense, respective actors should strengthen its capacity in order to improve triple helix of cultural contents industry in Daegu. Based on this, government policy should be established and implemented toward to encouraging cooperation among participating actors.

• Journal of Digital Convergence
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• v.14 no.1
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• pp.203-209
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• 2016

In this paper, we introduce a fuzzy inference systems for nonlinear inference using fuzzy cluster. Typically, the generation of fuzzy rules for nonlinear inference causes the problem that the number of fuzzy rules increases exponentially if the input vectors increase. To handle this problem, the fuzzy rules of fuzzy model are designed by dividing the input vector space in the scatter form using fuzzy clustering algorithm which expresses fuzzy cluster. From this method, complex nonlinear process can be modeled. The premise part of the fuzzy rules is determined by means of FCM clustering algorithm with fuzzy clusters. The consequence part of the fuzzy rules have four kinds of polynomial functions and the coefficient parameters of each rule are estimated by using the standard least-squares method. And we use the data widely used in nonlinear process for the performance and the nonlinear characteristics of the nonlinear process. Experimental results show that the non-linear inference is possible.

• Journal of Environmental Impact Assessment
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• v.25 no.4
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• pp.296-306
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• 2016

There is a growing interest in establishing a regional climate change adaptation policy as the climate change impact in the region and local scale increases. This study focused on the analysis of 32 regions on its characteristics of local climate change adaptation plans. First, statistic program R was used for conducting cluster analysis based on the frequency and budgets of adaptation plan. Further, we analyzed damage frequency from newspapers regarding climate change impacts in eight categories which were caused by extreme weather events on 2,565 cases for 24 years. Lastly, the characteristics of climate change adaptation plan was compared with damage frequency patterns for evaluating the adequacy of climate change adaptation plan on each cluster. Four different clusters were created by cluster analysis. Most clusters clearly have their own characteristics on certain sectors. There was a high frequency of damage in 'disaster' and 'health' sectors. Climate change adaptation plan and budget also invested a lot on those sectors. However, when comparing the relative rate among regional governments, there was a difference between types of damage and climate change adaptation plan. We assumed that the difference could come from that each region established their adaptation plans based on not only the frequency of damage, but vulnerability assessment, and expert opinions as well. The result of study could contribute to policy making of climate change adaptation plan.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.642-659
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• 2012

The main aim of this article is to examine theoretical issues on the 'global-local connectivity' of regional industrial cluster and regional innovation system which have been presented since the 2000s in terms of three different aspects. Firstly, the concept of 'geographical proximity' is discussed within the context of its importance for the regional industrial development by considering relationships of cluster, local buzz and global pipeline. Secondly, concepts on knowledge gatekeeper and temporary cluster are explored with respect to their role of a mediator in forming or transforming global-local connectivity. Finally, policy implications of the global-local connection are presented. Authors arguments are as follows; firstly, in order to improve regional industrial cluster on the basis of geographical proximity, relational proximity which is beyond different spatial scales has to be secured. It means that geographical convenience and inconvenience are required simultaneously for regional industrial development. Secondly, A base of the global-local connectivity is socal capital and embeddedness. Therefore, it needs to understand that relational proximity is embedded into different culture and habit at different spatial scales. Finally, within the context of the global-local connectivity, in order to overcome spatial hierarchy by the division of labor of firms, it needs to consider the complex system which is composed of vertical and horizontal hierarchy by the spatial division of labor by firms, openness and closeness of clusters, and the scope of policies' inclusion and exclusion by central and local governments.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.459-469
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• 2016

The purpose of this study is to classify the subtypes of perpetrators of school violence based on their psychological characteristics. In order to classify the students, questionnaires/interviews which consist of 6 factors (Cognitive Impulsivity, Unplanned Impulsivity, Depression, Anxiety, Peer Conformity, and Self assertion) and 19 questions were administered to 86 perpetrators of school violence. Then, a two-step cluster analysis was performed with the survey results of 74 perpetrators. As a result, three clusters were identified and named as follows: 1) Impulsive Vulnerability, 2) Emotional Vulnerability, and 3) Social Vulnerability. Scrutinizing the detailed characteristics of each cluster, the first cluster, Impulsive Vulnerability, showed higher scores on Cognitive Impulsivity and Unplanned Impulsivity, compared to the other two clusters, while Depression and Anxiety scores were lower. The second cluster, Emotional Vulnerability, showed higher scores on Depression and Anxiety, while Cognitive Impulsivity and Unplanned Impulsivity scores were lower. The third cluster, Social Vulnerability, showed the highest score on Peer Conformity among the three clusters. However, Self assertion scores were the lowest in this cluster, and Cognitive Impulsivity, Unplanned Impulsivity, depression, and anxiety scores were lower than in the others. This study will provide a useful insight for facilitating teachers and parents' understanding of the psychological characteristics of school violence perpetrators and thereby contributing to effective intervention.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.31-40
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• 2017

In this paper, we compared the efficiencies of national R&D investments between NT (Nanotechnology) areas in terms of papers, patents, and commercializations, and found ways to improve the efficiencies of national R&D investments for each NT area. This is in response to huge R&D investments government has made recently in NT areas. Here, we collected data on investments, papers, patents, and commercializations for the R&D projects in NT areas through National Science & Technology Information Service. Based on the data, we analyzed the investment and performances (papers, patents, and commercializations) for each NT area, calculated the efficiency for each NT area, and compared the efficiencies between NT areas. Next, using cluster analysis, we identified several NT areas with similar characteristics in terms of paper efficiency, patent efficiency and commercialization efficiency. Finally, we derived implications for the efficiency enhancement for each grouping. The cluster analysis showed that there could be two groups, one being low in terms of technological outcome (papers and patents) efficiencies and high in terms of commercialization efficiencies, while the other being high in terms of technological outcome (papers and patents) efficiencies and low in terms of commercialization efficiencies. Therefore, the strategy for one group calls for support for technology transfer or technology introduction from other R&D performers and grant of guidance for improving R&D performers' commercialization ability to other R&D performers while the strategy for the other group calls for R&D support for transfer of technology to other R&D performers, activation of technology transfer and support for commercialization of R&D performers.

• 한국디지털정책학회:학술대회논문집
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• 2004.11a
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• pp.173-184
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• 2004

E-Government security is crucial to the development of e-government. Due to the complexity and characteristics of e-government security, the viable current approaches for security focus on preventing the network intrusion or misusing in advanced and seldom concern of the forensics data attaining for the investigation after the network attack or fraud. We discuss the method for resolving the problem of the e-government security from the different side of view - network forensics approaches? from the thinking of the active protection or defense for the e-government security, which can also improve the ability of emergence response and incident investigation for e-government security.

• Proceedings of the KAIS Fall Conference
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• 2010.05b
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• pp.1064-1067
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• 2010

본 연구는 공동브랜드를 이용한 마케팅 활성화를 위하여 원주의료기기 클러스터의 57개 의료기기 제조업체를 대상으로 각사의 제품경쟁력 결정요인, 주력제품의 부족요인, 그리고 공동브랜드 참여의사 및 참여 희망분야, 공동브랜드의 성공가능성 등을 분석하였으며, 그 결과를 바탕으로 공동브랜드 활성화에 필요한 사항을 제시하였다.