• Asian-Australasian Journal of Animal Sciences
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• v.9 no.4
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• pp.405-410
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• 1996

Phylogenetic analyses were carried out using four Indonesian native chicken breeds; Kampung, Bangkok, Pelung and Kedu. Gene frequencies of four blood group (A, B, D and E) and eight electrophoretic loci (akp, Akp-2, Es-1, Amy-1, Alb, Tf, Pas and Pa-1) were examined. Geographical and breed specific trends in the gene frequencies were not found in the local population of Kampung breed or in four native breeds. The values of average heterozygosity were estimated as 0.35-0.45. Genetic distances among the local populations of Kampung breed and other native breeds were comparatively small. In a cluster analysis, the Bangkok breed and Kampung E population showed distance from another cluster. The coefficient of gene differentiation for local populations of Kampung breed was estimated as 0.099.

• Journal of The Korean Astronomical Society
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• v.24 no.1
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• pp.95-105
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• 1991

In the presence of synchrotron losses, diffusion of an ensembel of relativistic particles in an intraculster medium is investigated. The diffusion coefficient in the medium is found to be constrained by $28.8\;{\pm}\;0.4\;{\leq}\;Log\;D\;{\leq}\;30.5\;{\pm}\;0.4\;cm^2s^{-1}$ with the energy dependency of $D_0{\varepsilon}^{\mu}$ of ${\mu}=0.4{\pm}0.2$ as the previous observations suggested. As an important implication of the result, the brightest head-tail radio source NGC 4869, whose radio tail structure is indicative for its orbit within the cluster core, is considered to be the major contributor of particles for the formation of the Coma radio halo.

• Journal of the Korean earth science society
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• v.38 no.5
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• pp.333-344
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• 2017

We present the environmental dependence of the luminosity-size relation of galaxies in the local universe (z < 0.01) along with their dependence on galaxy morphology represented by five broad types (E, dEs, S0, Sp, and Irr). The environmental parameters we consider are the local background density and the group/cluster membership together with the clustercenteric distance for the Virgo cluster galaxies. We derive the regression coefficient (${\beta}$), i.e., the slope of the line representing the least-squares fitting to the data and the Pearson correlation coefficient (c.c.) representing the goodness of the least-squares fit along with the confidence interval from bootstrap resampling. We find no significant dependence of the luminosity-size relation on galaxy morphology. However, there is a weak dependence of the luminosity-size relations on the environment of galaxies, in the sense that galaxies in the low density environment have shallower slopes than galaxies in the high density regions except for elliptical galaxies that show an opposite trend.

• Korean Journal of Plant Resources
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• v.19 no.6
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• pp.716-720
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• 2006

The genetic diversity among the genus Viola was evaluated using the random amplified polymorphic DNA (RAPD) method. A total of 142 distinct amplification fragments by 18 random primers were scored to perform the cluster analysis with UPGMA. Viola species from the subsection Patellares were clustered into group I to IV. The groups from I to IV were consistent with its morphological taxonomy, series Pinnatae, Chinensis, Variegatae, and Patellares in the subsection Patellares, respectively. Even though V. albida and V. albida var. takahasii were classified in Chinensis, they were assigned into group I. The cluster analysis separated other subsections from Patellares in the section Nomimium. Interestingly, V. verecunda and V. grypoceras in subsections Biobatae and Trigonocarpae, respectively, were clustered into group C with a high similarity coefficient. Therefore, RAPD analysis can be used for providing an alternative classification system to identify genotypes and morphological characters of Viola species.

• Journal of the Korea Safety Management & Science
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• v.11 no.3
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• pp.41-48
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• 2009

The risk assessment for heavy metal pollutions were analyzed by using statistical techniques including correlation and cluster analyses. The contamination data in this investigation obtained were from the Chungcheongnam-do abandoned mines. The descriptive statistical analysis showed that the values of Pb and Zn were relatively higher than other heavy metal values. The detection of heavy metals by distance from abandoned mines within 1,000m were mostly As, Cd, Pb, and Zn. It was noted, especially, that Zn was even detected at 4,000m The results of coefficient correlation showed that Zn to Cd was the highest values. The cluster and dendogram analyses were generated. The results showed the two clear groups by heavy metal characteristics.

• Journal of information and communication convergence engineering
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• v.3 no.2
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• pp.84-89
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• 2005

Goal of this study is to implement 3-dimensional underwater appearance graphical display, fishery measured information display, sonar data representation and display, and 3-dimensional underwater appearance animation based on coefficient data of chaos behavior and fishing modeling of fishing gears from PC cluster system. In order to accomplish the goals of this study, it is essential to compose user interfacing and realistic description of image scenes in the towing-net fishery simulator, and techniques to describe sand cloud effects under water using particle systems are necessary. In this study, we implemented graphical representations and animations of the simulator by using OpenGL together with C routines.

• Environmental Engineering Research
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• v.15 no.3
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• pp.135-140
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• 2010

With the various urban characteristics of each city, the existing water demand prediction, which uses average liter per capita day, cannot be used to achieve an accurate prediction as it fails to consider several variables. Thus, this study considered social and industrial factors of 164 local cities, in addition to population and other directly influential factors, and used main substance and cluster analyses to develop a more efficient water demand prediction model that considers unique localities of each city. After clustering, a multiple regression model was developed that proved that the $R^2$ value of the inclusive multiple regression model was 0.59; whereas, those of Clusters A and B were 0.62 and 0.74, respectively. Thus, the multiple regression model was considered more reasonable and valid than the inclusive multiple regression model. In summary, the water demand prediction model using principal component and cluster analyses as the standards to classify localities has a better modification coefficient than that of the inclusive multiple regression model, which does not consider localities.

• Journal of the Korean Society of Clothing and Textiles
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• v.17 no.2
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• pp.247-264
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• 1993

This study deals with the manufacturing of the foundation garments for the well-balanced somatotype of the Korean middle-aged womenhood. In order to get hold of the different somatotypes, a survey of a total of 134 middle-aged women in Kwangju area, ranging in their age from 45 through 59 was made. The statistical methods used for the analysis of the basic data were the Pearson's correlation coefficient, Anova, Cluster analysis and Stepwise. Emphasis of the try-on test was placed on (1) the comparison of anthropometric data before and after trying on the foundation garments, (2) sensory evaluation, (3) a rating on fit and performance, (4) the comparison by means of photograph. The conclusions obtained are as follows : 1) The 134 women sampled and measured were classified into the five groups of somatotype : the 52 women (34%) belong to Cluster 1 ; the 22 women(14.5%) belong in Cluster 2 ; the 12 women(7.9%) belong in Cluster 3 ; the 15 women(9.9%) belong in Cluster 4 ; the 33 women(27.7%) belong to Cluster 5. 2) As for the characteristics of the foundation garment design, the V-shaped neckline and chest dart was used. The adjust point is right above the perineum point. The foundation garment length is as far as trochanteric point. The materials used are cotton/polyurethane, lace, 100%cotton. The materials used for corrections were the sponge pad for the chest, and non-woven fabric pad for the back, shoulder and the hip. 3) The comparison of the anthropometric data of the subject when dressed in foundation garments showed a significant difference in bust point height, in bust point length and in nipple-ta-nipple breadth, which proves the foundation garments to be effective in correcting such part as the chest, the hip and the abdomen. 4) As considered in terms of the sensory evaluation, the item except for the shoulder and the armhole coincided with each other in the mean value and in the composite reliability coefficient, which also proves the foundation garments to be effective. 5) Subjects were satisfactory on fit, performance, design, of the foundation garment, and their changed appearance. 6) In the case of the comparison through the photographs, the silhouettes of all the five women subjects were found effectively to be balanced.

• 한국해양학회지
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• v.20 no.3
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• pp.62-69
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• 1985

Comparision of the classical taxonomy and the numerical taxonomy was carried out on 108 strains isolated from Chung-mu bay and it was confirmed that correlation coefficient measured between strains represented similarities. Gram stain is the most important test in the classical taxonomy, while Gram positive and Gram negative strains were distributed evenly over the whole cluster and coccus and rod were separated in the numerical taxonomy. Both the numerical taxonomy and the classical taxonomy showed high similarity in the classification between the genera. The strains collected in bottom layer marked lower taxonomic similarity between strains than those in upper and middle strains. The distance between the inside (Group I) and the outside (Group II) strains of the bay was larger than that between the strains collected in high and low tide.

• Journal of the Korean Institute of Intelligent Systems
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• v.6 no.3
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• pp.81-88
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• 1996

Cluster analysis is based on partitioning a collection of data points into a number of clusters, where the data points in side a cluster have a certain degree of similarity and it is a fundamental process of data analysis. So, it has been playing an important role in solving many problems in pattern recognition and image processing. For these many clustering algorithms depending on distance criteria have been developed and fuzzy set theory has been introduced to reflect the description of real data, where boundaries might be fuzzy. If fuzzy cluster analysis is tomake a significant contribution to engineering applications, much more attention must be paid to fundamental questions of cluster validity problem which is how well it has identified the structure that is present in the data. Several validity functionals such as partition coefficient, claasification entropy and proportion exponent, have been used for measuring validity mathematically. But the issue of cluster validity involves complex aspects, it is difficult to measure it with one measuring function as the conventional study. In this paper, we propose four performance indices and the way to measure the quality of clustering formed by given learning strategy.