• Plant Resources
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• v.6 no.2
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• pp.120-128
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• 2003

The objectives of this study, an analysis of the variation for leaf and fruit characteristics among the selected ten populations of Sorbus commixta Hedl. could be used for the conservation of gene resources and could provide information to superior trees selection. The results obtained from this study can be summarized as follows; Approximately, the Mt. Sungin population at Ulleung island showed larger values in overall characteristics and populations. On the other hand, Mt. Halla population at Jeju island showed the smaller values of the overall characteristics and populations. ANOV A tests showed that there were statistically significant differences in all leaf characteristics among the populations as well as individual trees within populations. But, for fruit characteristics, differences were statistically significant only among the populations. Cluster analysis using single linkage method based on leaf and fruit characteristics showed that ten selected populations of S. commixta in Korea could be clustered into three groups. Group I is Mt. Sungin at Ulleung island, Group II is Mt. Halla at Jeju island, and Group III comprises Osan, Mt. Kaji, Mt. Duckyoo, Mt. Balwang, Mt. Sobaek, Mt. O-dae, Mt. Jiri, and Mt. Taebaek. The selection level based on major agronomic traits, which are the Number of Fruit per Fruiting Lateral(NFL) over 50, and Fruit Length(FL) and Width(FW) over 10 mm, and Weight of 100 Fruit(WFI00) over 66 g, was applied on 100 sample trees, and five trees were selected. The selection effects from selected trees in NFL, FL, FW, and WF100 were evaluated as 132%, 151 %, 142%, and 264% compared to the mean of those 100 sample trees, respectively. Especially, Ulleung 2 showed excellent values that NFL and WFI00 were 95, and 69 g, respectively, suggesting a promising new cultivar for larger fruit and high productivity.

• The Research Journal of the Costume Culture
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• v.16 no.3
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• pp.502-517
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• 2008

The purpose of the study lies in the measurements of breast shapes and upper body types for the women in their 40's, with the use of 3D measurement system, and in the presentation of brassiere patterns fit for their body types. As for the study method, 3D human body types were analyzed with RapidForm 2006, and the upper-body types and breast shapes were statistically classified through technical statistics analysis, cluster analysis, t-test, variance analysis, and cross analysis. The wearing tests went through the comparison of the brassieres of three makers in the market and the experiment brassieres(first and second) and then the evaluations were made by the subjects, the outer appearance assessment by experts, and 3D measurements. The findings of the study indicated that the evaluation of experiment brassieres was excellent in every item, and he significant difference was found out particularly in the items of pressure, rear center, front center, breast underneath, adequate level by wing, and adequate level by armhole. According to the results of 3D evaluation, experiment brassieres had a highest point in fitness with no physical pressure at the wing part and no overall deviation at the cup art. The pattern comparison showed the differences in the parts of total cup angle, cup circumference length, lower cup height, wing length, and wing angle.

• The Research Journal of the Costume Culture
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• v.16 no.3
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• pp.488-501
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• 2008

The purpose of this study presents bra pattern using the 3D measurements of the upper body subject to women in their 30's. Brassieres available in the market are mostly designed for straight body shape and many women seem to have experienced bearing discomfort in a great extent as they grow older. Brassieres should be designed to cover diverse body types and the accurate measurement of body type and breast shape is needed to accomplish that. As for the study method, 3D human body types were analyzed with RapidForm 2006, and the upper-body types and breast shapes were statistically classified through technical statistics analysis, cluster analysis, t-test, variance analysis, and cross analysis. The wearing tests went through the comparison of the brassieres of three makers in the market and the experiment brassieres(first and second) and then the evaluations were made by the subjects, the outer appearance assessment by experts, and 3D measurements. The results of this study showed that the evaluation of experiment brassieres was excellent in every item, and the significant difference was found out particularly in the items of pressure, rear center, front center, breast underneath, adequate level by wing, and adequate level by armhole. According to the results of 3D evaluation, experiment brassieres had a highest point in fitness with no physical pressure at the wing part and no overall deviation at the cup part.

• Korean Journal of Plant Resources
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• v.15 no.1
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• pp.36-42
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• 2002

Sixteen Atractylodes japonica Koidz. accessions were collected in Jeonbuk, Kyeongnam, Kangwon and Kyeonggi province, and their quantitative characteristics were compared with each other. The relationship of variation between Atractylodes japonica Koidz. accessions was also investigated by means of multivariate analysis. Hamyang 1 accession had the most desirable quantitative characteristics among the accessions: plant height was 86.2cm, number of leaves, 117.2 and number of stems, 34.3. Sudo 1 accession had 12 stems, the most among the accessions. The length of leaf margin serras found in all of them was on average 1.6mm. Most accessions had simple or palmately compound leaf with oval or elliptical type of the leaf shape. The accessions could be classified into three groups by average linkage cluster method. The most remote relationship was found between Group 1 containing Jinan 1, Jinan 2 and Group 3 containing Jeongsu, and Geoje.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.6
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• pp.661-666
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• 2003

In this paper, the conventional k-modes and fuzzy k-modes algorithms for clustering categorical data is extended by representing the clusters of categorical data with fuzzy centroids instead of the hard-type centroids used in the original algorithm. The hard-type centroids of the traditional algorithms had difficulties in dealing with ambiguous boundary data, which might be misclassified and lead to thelocal optima. Use of fuzzy centroids makes it possible to fully exploit the power of fuzzy sets in representing the uncertainty in the classification of categorical data. The distance measure between data and fuzzy centroids is more precise and effective than those of the k-modes and fuzzy k-modes. To test the proposed approach, the proposed algorithm and two conventional algorithms were used to cluster three categorical data sets. The proposed method was found to give markedly better clustering results.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.4
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• pp.171-176
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• 2020

This paper proposes polynomial-time algorithm for maximum weighted independent set(MWIS) problem that is well known as NP-hard. The known algorithms for MWIS problem are polynomial-time to specialized in particular graph type, distributed, or clustering method. But there is no unified algorithm is suitable to all kinds of graph types. Therefore, this paper suggests unique polynomial-time algorithm that is suitable to all kinds of graph types. The proposed algorithm merges the maximum weighted vertex v_i and maximum weighted vertex v_j that is not adjacent to v_i. As a result of apply to undirected graphs and trees, this algorithm can be get the optimal solution. This algorithm improves previously known solution to new optimal solution.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.345-351
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• 2014

The purpose of this study was to identify the difference between job satisfaction and organizational commitment by the type of time management behavior in clinical nurses. Total 208 nurses were recruited from clinical settings where located in Seoul and Daejeon, South Korea. Data were collected using self-administered method with structured questionnaire between August 2012 and January 2013. Descriptive statistics, K-mean cluster analysis, one-way ANOVA were performed for data analysis. As results, the type of time management behavior were classified into four types such as unconcern type, accomplishment type, urgency type and selection & concentration type. Among four types, nurses who belonged to be accomplishment and selection & concentration type were tend to have positive behaviors in terms of time managements as they had high scores in job satisfaction. Therefore, further study on whether types of time management are related with organizational culture including commitment and effectiveness should be explored.

• Proceedings of the Korean Society of Environment and Ecology Conference
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• 2005.04a
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• pp.21-32
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• 2005

To investigate the vegetation structure of mountain ridge from Bubong to Poamsan, 16 plots$(400m^2)$ set up with random sampling method were surveyed. Three groups Quercus mongolica-Pinus densiflora community, Quercus variabilis-Pinus densiflora-Quercus mongolica community were classified by cluster analysis. Quercus mongolica was found as a major woody plant species in the ridge area from Bubong to Poamsan, and partly in lower elevation was occupied by Quercus variabilis and Pinus densiflora. High positive correlations was proved between Lespedeza maximowixcii and Pinus koraiensis, Fruxinus sieboidiana and Rhododendron mucronulatum, Acer mono and Weigela subsessilis, and relatively high negative correlations was proved between Symplocos chinensis for. pilosa and Fraxinus sieboldiana, Rhododendron mucronulatum Species diversity(H') of investigated groups were ranged $0.9066\~1.0821$, and it was relatively low compared to those of mountain ridge area of other national parks.

• Korean Journal of Environment and Ecology
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• v.19 no.1
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• pp.55-62
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• 2005

To investigate the fore,:t community structure in the Danggol valley of Taebaeksan (Mt.), area, 45 plots$(10m\times10m)$, were set up with a random sampling method. By cluster analysis the forest community in the study area was classified into three groups (Larix leptolepis community, Fraxinus rhynchophylla-Carpinus cordata community, Betula costata-Quercus mongolica community). There were strong positive correlations between Euonymus sachalinensis and Rhododendron schlippenbachii: Weigela subsessilis and Rhododendron schlippenbachii, Euonymus sachalinensis; Acer pseudo-sieboldianum and Acer tegmentosum; Quercus mongolica and Tilia amurensis. While there were negative correlations between Acer pseudo-sieboldianum and Tilia amurensis, Acer ukurunduense: Quercus mongolica and Acer ukurunduense; Pinus koraiensis and Euonyms sachalinensis Fraxinus sieboldiana and Magnolia sieboldii, Carpinus cordata, Acer mono. Species diversity(H') of the investigated area was $0.7932\~1.2077$.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.4 s.310
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• pp.1-8
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• 2006

This paper proposes an improved FCM(Fuzzy C-means) algorithm using intercluster and entropy-based weight in gray image. The fuzzy clustering methods have been extensively used in the image segmentation since it extracts feature information of the region. Most of fuzzy clustering methods have used the FCM algorithm. But, FCM algorithm is still sensitive to noise, as it does not include spatial information. In addition, it can't correctly classify pixels according to the feature-based distributions of clusters. To solve these problems, we applied a weight and intercluster to the traditional FCM algorithm. A weight is obtained from the entropy information based on the cluster's number of neighboring pixels. And a membership for one pixel is given based on the information considering the feature-based intercluster. Experiments has confirmed that the proposed method was more tolerant to noise and superior to existing methods.