• Journal of Technology Innovation
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• v.9 no.2
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• pp.98-119
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• 2001

The purpose of this study is to classify the world countries into several cluste on the basis of the characteristics of the scientific and technological development, and analyse the main factors of development in each cluster. Major contributions of this study can be summarized as follows: (1) In the process of producing the composite indicators, individual indicators were adopted only if they met the condition which were logically compliable for the given time periods. Hence this thesis supports the reliability in comparing results of analysis in each period of years. (2) Could clearly capture the development characteristics and its changing process in each country.

• Animal Systematics, Evolution and Diversity
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• v.8 no.2
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• pp.189-200
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• 1992

In the present investigation, some cluster analyses were done for each population of the native honeybee workers(Apis cerana), which were selected for 15 different localities in spring and 16 in summer from Korea. In this analysis, the seasonal segregation was perfectly revealed by both Ward's and the average linkage between groups methods, whereas, it did not necessarily revealed any systematic relationship between geographical groups.

• Proceedings of the KSMRM Conference
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• 2001.11a
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• pp.104-104
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• 2001

Purpose： In this study, we investigated the possible motor pathways of hemiplegic stroke patients usin combined TMS and BOLD fMRI approach and evaluated the correlation between TMS a fMRI methods. Method： Four subjects, who demonstrated left hemiplegia after stroke, are included. TMS was performed using a Dantec Mag2 stimulator (Dantec Company, USA) in single puls mode with figure eight-shaped coil. Following TMS localization, The BOLD T2＊-weight images were acquired with echo planar imaging sequence (TR = 1.2 sec, TE = 60 msec, and flip angle = 90). Motor activation was studied by means of a repetitive fing flexion-extension task. The stimulation protocol comprised 10 cycles of alternating activati and rest (10 images per cycle). Total 60 cycles were performed and each cycle take abou 1.5 sec. The resulting images were then analyzed with STIMULATE (CMRR, U, o Minnesota) to generate functional maps using a student t-test (p < 0.0005) and cluste analysis.

• Journal of the Economic Geographical Society of Korea
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• v.18 no.2
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• pp.206-223
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• 2015

Korea government has established 67 agri-food clusters for 10 years. In recent years, the criticism of this policy has significantly increased due to trials and errors. The purpose of this study is to suggest some policy implications for the focal firm and governance mechanism through the case study of Muan Loess Sweet Potato Cluster. The concept of netchain was used as an analysis framework. Muan Loess Sweet Potato Cluster doesn't operate an integrated production organization and focal firm doesn't exercise its influence as well. The cluster agency, focal firm of Cluster, is important for a Agri-food Cluster to grow continuously. it must have a great influence on organizing networks and an enough capacity for forming coordination mechanism. Also, Local governments must actively be involved in the network formation and coordination and inform the vision and plan for development.

• Journal of the Korean Geographical Society
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• v.30 no.3
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• pp.296-310
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• 1995

Classification of spatial units into meaningful sets is an important procedure in spatial analysis. It is crucial in characterizing and identifying spatial structures. But traditional classification methods such as cluster analysis require an exact database and impose a clear-cut boundary between classes. Scrutiny of realistic classification problems, however, reveals that available infermation may be vague and that the boundary may be ambiguous. The weakness of conventional methods is that they fail to capture the fuzzy data and the transition between classes. Fuzzy subsets theory is useful for solving these problems. This paper aims to come to the understanding of theoretical foundations of fuzzy spatial analysis, and to find the characteristics of fuzzy classification methods. It attempts to do so through the literature review and the case study of urban classification of the Cities and Eups of Kyung-Nam Province. The main findings are summarized as follows: 1. Following Dubois and Prade, fuzzy information has an imprecise and/or uncertain evaluation. In geography, fuzzy informations about spatial organization, geographical space perception and human behavior are frequent. But the researcher limits his work to numerical data processing and he does not consider spatial fringe. Fuzzy spatial analysis makes it possible to include the interface of groups in classification. 2. Fuzzy numerical taxonomic method is settled by Deloche, Tranquis, Ponsard and Leung. Depending on the data and the method employed, groups derived may be mutually exclusive or they may overlap to a certain degree. Classification pattern can be derived for each degree of similarity/distance $\alpha$. By takina the values of $\alpha$ in ascending or descending order, the hierarchical classification is obtained. 3. Kyung-Nam Cities and Eups were classified by fuzzy discrete classification, fuzzy conjoint classification and cluster analysis according to the ratio of number of persons employed in industries. As a result, they were divided into several groups which had homogeneous characteristies. Fuzzy discrete classification and cluste-analysis give clear-cut boundary, but fuzzy conjoint classification delimit the edges and cores of urban classification. 4. The results of different methods are varied. But each method contributes to the revealing the transparence of spatial structure. Through the result of three kinds of classification, Chung-mu city which has special characteristics and the group of Industrial cities composed by Changwon, Ulsan, Masan, Chinhai, Kimhai, Yangsan, Ungsang, Changsungpo and Shinhyun are evident in common. Even though the appraisal of the fuzzy classification methods, this framework appears to be more realistic and flexible in preserving information pertinent to urban classification.