• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.4
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• pp.563-574
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• 1999

The purpose of this study was to provide basic information for obese boy's clothing construction that can reflect the characteristics of their bodies. The subjects for anthropometric measurements which were performed directly were obese boys of 9 to 11 year-old. To classify the somatotype and to analyze the characteristics of each somatotype 310 obese boys were examined. Data were analyzed by using multivariate method, By means of Ward the subjects were classified into 4 clusters according to the factor scores which were obtained from 6 factors providing the information of 54 items. 4 clusters were identified. 1) Type I was characterized by tall and obese type 2) Type II was characterized by short and small type 3) Type III was characterized by long and obese type of lower body. 4) Type IV was characterized by short and obese type.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.2
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• pp.331-336
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• 2013

The purpose of this study is to visualize the characteristics of ER fluids as preceding step of developing 3 port ER valves. As the strength of the electric field increases, more clusters in flow are made and these clusters are thought to be the reasons of the load flow rate being increased and the outlet flow rate being decreased. The ER Valves and load and outlet flow rate check method are considered to be applied to the fluid power control system. Using the manufactured pressure control valve, a one-link manipulator with FHA in robot system is driven. As a result, it is experimentally confirmed that the pressure control valve using ER fluids is applicable to use in driving actuator. If it applies characteristics of the ER fluids, it will be able to apply in the control system for the ER Valve which occurs from industrial controller(PLC).

• Proceedings of the IEEK Conference
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• 2003.11a
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• pp.377-380
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• 2003

A new color image segmentation scheme is presented in this paper. The proposed algorithm consists of image simplification, region labeling and color clustering. The vector-valued diffusion process is performed in the perceptually uniform LUV color space. We present a discrete 3-D diffusion model for easy implementation. The statistical characteristics of each labeled region are employed to estimate the number of total clusters and agglomerative hierarchical clustering is performed with the estimated number of clusters. Since the proposed clustering algorithm counts each region as a unit, it does not generate oversegmentation along region boundaries.

• 한국디지털정책학회:학술대회논문집
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• 2005.06a
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• pp.485-493
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• 2005

Using 1991 FDIC financial statement data, we develop fuzzy clusters of the data set. We also identify the distinctive characteristics of the fuzzy clustering algorithm and compare the closest hard-partitioning result of the fuzzy clustering algorithm with the outcomes of two self-organizing neural networks. When nine clusters are used, our analysis shows that the fuzzy clustering method distinctly groups failed and extreme performance banks from control (healthy) banks. The experimental results also show that the fuzzy clustering method and the self-organizing neural networks are promising tools in identifying potentially failing banks.

• The Bulletin of The Korean Astronomical Society
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• v.6
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• pp.15.1-15.1
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• 1981

• Journal of the Korean Home Economics Association
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• v.43 no.9 s.211
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• pp.1-13
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• 2005

The purposes of this study were to classify internet shopping mall user by their shopping styles and to define the characteristics of the classified individual clusters. Questionnaires were completed by 338 men and women who have used internet shopping malls at lead once during the previous 6 months. The internet shopping styles were classified into 4 clusters after factor analysis and k-means cluster analysis. Cluster I, named 'high brand proneness', can be described as having low score on devotee tendency. Cluster II, named 'high value proneness', is characterized by a high score on seeking substance. Cluster III, called 'steadiness orientation', can be described as having a tow score on seeking trend and substance. Cluster IV, named 'individuality inclination', can be described as having low score on seeking trend. These four clusters differ in terms of socio-demographic and environmental characteristics such as gender, age, educational level, occupation, and internet using time. Theoretical and practical implications are discussed.

• The Bulletin of The Korean Astronomical Society
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• v.39 no.2
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• pp.67.2-67.2
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• 2014

The presence of multiple populations is now well-established in most globular clusters in the Milky Way. In light of this progress, here we suggest a new model explaining the origin of the Sandage period-shift and the difference in mean period of type ab RR Lyrae variables between the two Oosterhoff groups. In our models, the instability strip in the metal-poor group II clusters, such as M15, is populated by second generation stars (G2) with enhanced helium and CNO abundances, while the RR Lyraes in the relatively metal-rich group I clusters like M3 are mostly produced by first generation stars (G1) without these enhancements. This population shift within the instability strip with metallicity can create the observed period-shift between the two groups, since both helium and CNO abundances play a role in increasing the period of RR Lyrae variables. The presence of more metal-rich clusters having Oosterhoff-intermediate characteristics, such as NGC 1851, as well as of most metal-rich clusters having RR Lyraes with longest periods (group III) can also be reproduced, as more helium-rich third and later generations of stars (G3) penetrate into the instability strip with further increase in metallicity. Therefore, although there are systems where the suggested population shift cannot be a viable explanation, for the most general cases, our models predict that the RR Lyraes are produced mostly by G1, G2, and G3, respectively, for the Oosterhoff groups I, II, and III.

• Journal of Advanced Marine Engineering and Technology
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• v.20 no.3
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• pp.11-18
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• 1996

Liquid droplets of water and argon surrounded by their vapor have been simulated by the milecular dynamics method. To explore the surface phenomena of clusters, each molecule is classified into 'liquid', 'surface', or 'vapor' with respect to the number of neighbor molecules. The contribution of a 'surface' molecule of the water cluster to the far infrared spectrum is almist the same as that of the 'liquid' molecule. Hence, the liquid-vapor interface is viewed as geometrically and temporally varying boundary of 'liquid' molecules with only a single layer of 'surface' molecules that might have different characteristics from the 'liquid' molecules. The time scale of the 'phase change' of each molecule is estimated for the argon cluster by observing the instantancous kinetic and potential energies of each molecule. To compare the feature of clusters with macroscopic droplets, the temperature dependence of the surface tension of the argon cluster is estimated.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.203-210
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• 2020

In order to sustainably develop economy of regions and countries, it is necessary to pay attention to formation of new clusters from a long-term perspective. This study examined concepts and characteristics of clusters, and analyzed conditions related to emergence of clusters based on previous studies. Then, this study derived important factors and intended to propose a framework that is possible to help analyze clusters in the future. The development stages were divided into four stages of occurrence, growth, maturity, and decline. As for emergence conditions, entrepreneurship, institutional support, decision factors by development stages, and requirements for the future cluster success were presented. This study has academic significance in that it presents an integrated framework to analyze cluster emergence, and based on it, this study also presents directions of future studies and the regional and national policy implications. However, this study has many limitations in that it is difficult to generalize because it has not considered all variables in various dimensions and environments.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.4
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• pp.551-566
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• 2013

This study aims to evaluate the industrial cluster policy implemented in Korea during the last decade or so, examine whether it can still be a valid policy measure in the creative economy regime, and propose policy directions for the future. It is evaluated that the cluster policy has contributed to increasing productivity by improving networks between companies, universities and research centers and thus strengthening innovation infrastructure. The policy, however, by its characteristics of government-domination, failed to develop open-ended and flexible spontaneous clusters. Industrial clusters have the capability to contribute to the virtuous circle of creative economy by enhancing creativity and innovativeness, and subsequently by increasing value-added. In order to maximize these positive effects, a few suggestions are made, including being faithful to the very nature of clusters, e.g. geographical proximity and connectedness, intending clusters with creativity well maintained, orienting toward multi-scalar clusters with a mixture of local and global perspectives, and matching regional and industrial policies with regards to clusters.