• Industry Promotion Research
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• v.9 no.2
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• pp.45-58
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• 2024

This study modelled the social network structure characteristics between Innopolis Start-ups located in Daejeon and Innopolis Start-ups' customers scattered across the country as a tendency of regional clustering among homogeneous technologies, and the observed values were included within the 95% confidence interval of the ERGM(Exponential Random Graph Model) analysis model. If both the research institute and the customer company are located in Yuseong-gu, Daejeon, the probability of being connected is about 13 times higher than if they are located in other administrative districts, and there is a strong tendency of connection between firms with the same technology with a negative value of assortment and homogeneity (0.1904), especially among the six technology sectors, with a P value of 0.035. There was a negative value (-0.0035) among firms not located in Yuseong-gu, with less clustering tendency. This confirms that Yuseong-gu, Daejeon, where the Daedeok Innopolis is located, is forming the centre of an innovation cluster.

• IE interfaces
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• v.15 no.2
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• pp.182-188
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• 2002

Clustering is widely used in various fields in order to investigate structural characteristics of the given data. One of the main tasks of clustering is to partition a set of objects into homogeneous groups for the purpose of data reduction. In this paper a simple but computationally efficient clustering procedure is devised and some statistical techniques to validate its clustered results are discussed. In the given procedure, the proper number of clusters and the clustered groups can be determined simultaneously. The whole procedure is applied to a practical clustering problem for the classification of reusable fuels in nuclear power plants.

• Journal of Environmental Science International
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• v.8 no.3
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• pp.331-336
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• 1999

The monthly water quality data measured at 14 stations located in the Geum-River watershed were clustered into 2 to 7 clusters. Furthermore, factor analyses were conducted on Gabcheon and Yugucheon to characterize the water qualtiy, based on the information obtained from the results of culster analysis. The results of cluster analysis show that the water quality charactersitic of main stream of the Geum-River is somewhat different from that of substream of the Geum-River. Furthermore, the water quality characteristic of Gabcheon which is expected to have the most serious water quality problems in the Geum-River watershed shows the most different water quality characteristic from Yugucheon. Based ont he factor loadings in each factor, Gabcheon and Yugucheon have their own water quality characteristics. This is mainly because of composite factors such as different population density, industrial activities, and land use conditions in Gabcheon and Yugucheon subwatersheds.

• International Journal of Industrial Entomology and Biomaterials
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• v.8 no.2
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• pp.211-215
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• 2004

Genetic diversity within the natural populations of Daba ecorace of Antheraea mylitta Drury was studied using individual silkworms collected from the South Singhbhum district of Jharkhand state of India with 21 inter simple sequence repeat (ISSR) primers. A total of 148 bands were produced, of which 79% was polymorphic. The pair wise genetic distance among the individuals varied from 0.186 to 0.329. The dendrogram grouped the individuals into 3 major clusters. Nei's heterozygosity analysis revealed 0.265 ${\times}$ 0.18 variability within the population. The high genetic variability present within the natural population of Daba ecorace of A. mylitta is indicative of their adaptational strategy in nature and have much importance for in situ conservation as well as utilization in breeding programs.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.428-431
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• 2004

A multi-stage hierarchical clustering technique, which is an unsupervised technique, has been proposed in this paper for classifying the hyperspectral data .. The multistage algorithm consists of two stages. The 'local' segmentor of the first stage performs region-growing segmentation by employing the hierarchical clustering procedure with the restriction that pixels in a cluster must be spatially contiguous. The 'global' segmentor of the second stage, which has not spatial constraints for merging, clusters the segments resulting from the previous stage, using a context-free similarity measure. This study applied the multistage hierarchical clustering method to the data generated by band reduction, band selection and data compression. The classification results were compared with them using full bands.

• Journal of Technology Innovation
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• v.11 no.2
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• pp.195-217
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• 2003

Since the early 1990s, cluster-based policies have been celebrated as the basis of successful regional industrial and technological development strategy by encouraging regional innovation and technological spillover. Most recently, the Korean government has also begun to seek to initiate some strategies for promoting industry clusters. However, it is problematic that the cluster policies still focus on attracting related firms and establishing supporting agencies and physical infrastructures rather than improving social and institutional dimensions for cluster development such as social capital, networks, social learning capabilities, the governance of regional innovation. In this paper we attempt to elucidate social and institutional dimensions for cluster development and suggest some policy agenda to promote innovative cluster.

• Journal of the Korean Data and Information Science Society
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• v.14 no.3
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• pp.535-543
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• 2003

Cluster analysis has been widely used in many applications, such as pattern analysis or recognition, data analysis, image processing, market research on on-line or off-line and so on. Clustering can identify dense and sparse regions among data attributes or object attributes. But it requires many hours to get clusters that we want, because clustering is more primitive, explorative and we make many data an object of cluster analysis. In this paper we propose a new method of clustering using sample based on grid. It is more fast than any traditional clustering method and maintains its accuracy.

• Journal of Technology Innovation
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• v.14 no.2
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• pp.167-181
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• 2006

This paper reviews regional innovation policy in Japan. 'Technopolis' policy, the first technology-based regional development policy in the world, was implemented in Japan. Nonetheless, technology-based regional endogenous development did not occur. Then, regional technology transfer was pursued. In order to make use of universities and public research institutes in a region for development, university-industry collaboration and cross-over, such as university spin-offs, were promoted. Within this background, new technology-based regional development policies have been introduced based on a cluster approach. These policies are the knowledge cluster Initiative and the industrial cluster program. However, existing companies have difficulty in carrying out innovation. This paper argues that a cluster to create new start-ups that carry out innovation is also needed and explains a new concept of venturing cluster. Based on this new cluster concept, this paper analyzes the situation of Sapporo in Japan, where many university spin-offs are being created in the biotechnology field.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.4
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• pp.123-134
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• 2016

Social capitals are getting more important for management in enterprises, especially in small and medium sized enterprises(SMEs). The purpose of this study is to examine the effect of social capitals on the performance of intellectual property. For the empirical analysis, survey data were collected from 138 companies in one industry cluster, 34 companies in the other one. The data were compared using regression analysis. The findings confirm a positive influence of the conceptive social capital on the performance of intellectual property while there are no effect of structural and relational social capitals on the performance. These are different from the past researches. In addition, there is no difference between industrial types such as IT, BT, and NT in terms of the effect of social capitals on the performance of intellectual property. Also there is no difference between the two industry clusters.

• Proceedings of the KAIS Fall Conference
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• 2010.05b
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• pp.961-964
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• 2010

A semi-empirical fluctuation term is presented to improve a classical equation of state (EOS) for volumetric properties in the critical region. The term is based on the two assumptions: (1) The Helmholtz energy is individually divided into classical and long-range density fluctuation contribution (2) All molecules form cluster near the critical region due to long-range density fluctuation. To formulate such molecular cluster, we extended the Veytsman statistics originally developed for the cluster due to hydrogen bonding. The probability function in the statistics is modified to represent the characteristics of long-range density fluctuation vanishing far from critical region. The proposed fluctuation contribution was incorporated into the Sanchez-Lacombe EOS and the combined model with 6 adjustable parameters has been tested against experimental VLE data. The combined model is found to well represent flatten critical isotherm for methane and top of the coexistence curve for the tested components. The prediction results for caloric data are in good agreement with the experimental data.