• Fashion & Textile Research Journal
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• v.1 no.2
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• pp.137-147
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• 1999

The purpose of this study was to classify female students' somatotypes, to investigate the relationship between five somatotypes obtained from anthropometric measurements and to examine the relationship between the spinal deformity and somatotypes. The subjects for anthropometric measurements were 844 female middle and high school students. The data were analyzed by cluster analysis, correspondence analysis, Duncan test, and T-test. The results were as follows. Cluster analysis on the factors extracted from directly measured items classified subjects into five types (middle height and a little slim type (39.6%), low height and a little slim type (13.1%), middle height and a little fat type (18.0%), tall and very fat type (7.7%), and very tall and standard type (21.6%). In examining the relationship between the normal people and those of the spinal deformity, the normal showed higher mean value in almost all the items of the girth, the depth, and the length. High school students had more spinal deformity in number than middle school students. The degree of deformity was higher in the right spinal deformity than in the left spinal deformity as the age increased. In terms of the distribution of the spinal deformity classified by the somatotype, Type 1 (middle height and a little slim type) and Type 5 (very tall and standard type) appeared the highest.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.2
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• pp.298-306
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• 2005

The Main objective of this study was to investigate the relationship between lifestyle and clothing buying behavior of college female students in Japan. A questionnaire was developed to measure clothing urchasing motives, fashion information sources, evaluation criteria of clothing, store attribute and lifestyle, The questionnaire was administered to 131 female college students in Tokyo of Japan. the data was analyzed using percentage, frequency, mean, factor analysis, Cluster Analysis and ANOVA, Duncan Multiple Range test. The results of the study were as follows : 1. The female college students were classified into fourth subdivisions by the cluster analysis; rational group, economic group, progressive group, fashion-oriented group. 2. The clothing purchasing motives o consumers were significantly different according to lifestyle subdivision in social, personal. 3. In the case of fshion information sources, significant differences were found according to lifestyle subdivision in mass media information, information by marketer, information by consumer. 4. The evaluation criteria of clothing were significantly different depending on lifestyle subdivision in esthetic, quality and management, external criterion. 5. The store attribute were significantly different depending on lifestyle subdivision in convenience, service and atmosphere of store.

• Nutrition Research and Practice
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• v.13 no.2
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• pp.169-177
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• 2019

BACKGROUND/OBJECTIVES: Excessive sugar intake is one of the causes associated with obesity and several chronic diseases prevalent in the modern society. This study was undertaken to investigate the effect of parenting variables based on the theory of planned behavior, on the sweetness preferences and sweets intake of children. SUBJECTS/METHODS: Parents and their children (n = 103, aged 5-7 years) were enrolled to participate in a survey for this study, after providing the required informed consent. Parents were asked to fill out a self-administered questionnaire at their residence. The sweetness preference test for children was conducted at a kindergarten (or daycare center) by applying the one-on-one interview method. RESULTS: The children were divided into two clusters categorized by the K-mean cluster analysis: Cluster 1 had higher sweetness preference (0.42 M sugar, 35%; 0.61 M sugar, 65%); Cluster 2 exhibited lower sweetness preference (0.14 M sugar, 9.5%; 0.20 M sugar, 9.5%; 0.29 M sugar, 81%). Cluster 1 had a higher frequency of sweets intake (P < 0.01), and lower sweets restriction (P < 0.05) and nutrition quotient score (P < 0.05). Sweets intake was negatively correlated with the nutritional quotient (r = -0.204, P < 0.05). The behavioral intention of parents was higher in cluster 2 (P < 0.05), while affective attitude, feeding practice, and reward were higher in cluster 1 (P < 0.001, P < 0.05, and P < 0.01, respectively). Furthermore, behavioral intention of parents showed a negative correlation with affective attitude (r = -0.282, P < 0.01) and feeding practice (r = -0.380, P < 0.01), and a positive correlation with subjective norm (r = 0.203, P < 0.05) and parenting attitude (r = 0.433, P < 0.01). CONCLUSIONS: This study indicates that the sweetness preferences and sweets intake of children is related to the parent's affective attitude, feeding practice and reward. We suggest that to reduce the sugar consumption of children, guidelines for access to sweets and pertinent parenting practices are required.

• Asian Journal of Atmospheric Environment
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• v.10 no.2
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• pp.80-89
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• 2016

In the complex terrain where local wind systems are formed, accurate understanding of regional wind variability is required for wind resource assessment. In this paper, cluster analysis based on the similarity of time-series wind vector was applied to classify wind regions with similar wind characteristics and the meteorological validity of regionalization method was evaluated. Wind regions in Jeju Island and Busan were classified using the wind resource map of Korea created by a mesoscale numerical weather prediction modeling. The evaluation was performed by comparing wind speed, wind direction, and wind variability of each wind region. Wind characteristics, such as mean wind speed and prevailing wind direction, in the same wind region were similar and wind characteristics in different wind regions were meteor-statistically distinct. It was able to identify a singular wind region at the top area of Mt. Halla using the inconsistency of wind direction variability. Furthermore, it was found that the regionalization results correspond with the topographic features of Jeju Island and Busan, showing the validity.

• Wind and Structures
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• v.15 no.2
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• pp.87-109
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• 2012

A substantial part of South Africa is subject to more than one strong wind source. The effect of that on extreme winds is that higher quantiles are usually estimated with a mixed strong wind climate estimation method, compared to the traditional Gumbel approach based on a single population. The differences in the estimated quantiles between the two methods depend on the values of the Gumbel distribution parameters for the different strong wind mechanisms involved. Cluster analysis of the distribution parameters provides a characterization of the effect of the relative differences in their values, and therefore the dominance of the different strong wind mechanisms. For gusts, cold fronts tend to dominate over the coastal and high-lying areas, while other mechanisms, especially thunderstorms, are dominant over the lower-lying areas in the interior. For the hourly mean wind speeds cold fronts are dominant in the south-west, south and east of the country. On the West Coast the ridging of the Atlantic Ocean high-pressure system dominate in the south, while the presence of a deep trough or coastal low pressure system is the main strong wind mechanism in the north. In the central interior cold fronts tend to share their influence almost equally with other synoptic-scale mechanisms.

• Journal of Korean Society on Water Environment
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• v.25 no.5
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• pp.735-741
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• 2009

In order to support the basic information for planning and performing the environment management such as Total Maximum Daily Loads (TMDLs), it is highly recommended to understand the spatial distribution of water quality and runoff data in the unit watersheds. Therefore, in the present study, we applied Self-Organizing Map (SOM) to detect the characteristics of spatial distribution of Biological Oxygen Demand (BOD) concentration and runoff data which have been measured in the Yeongsan, Seomjin, and Tamjin River basins. For the purpose, the input dataset for SOM was constructed with the mean, standard deviation, skewness, and kurtosis values of the respective data measured from the stations of 22-subbasins in the rivers. The results showed that the $4{\times}4$ array structure of SOM was selected by the trial and error method and the best performance was revealed when it classified the stations into three clusters according to the basic statistics. The cluster-1 and 2 were classified primarily by the skewness and kurtosis of runoff data and the cluster-3 including the basic statistics of YB_B, YB_C, and YB_D stations was clearly decomposed by the mean value of BOD concentration showing the worst condition of water quality among the three clusters. Consequently, the methodology based on the SOM proposed in the present study can be considered that it is highly applicable to detect the spatial distribution of BOD concentration and runoff data and it can be used effectively for the further utilization using different water quality items as a data analysis tool.

• Korean Journal of Human Ecology
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• v.16 no.1
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• pp.75-87
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• 2007

The purpose of this study was to classify the financial strategies in elderly households. The data of 4,577 households with all ages and 1255 elderly households is from the Korean Labor and Income Panel Study(2000, 2003). The data were analyzed by various statistical methods such as frequency, mean-test, Duncan's multiple range test, k-mean cluster analysis and logistic regression. Findings were as follows; First, the classified household financial strategy types were Residual(44.3%), Financial Assets(24.0%), Informal Institutional(19.7%), Diversified Portfolio(7.6%), Real Estate(4.5%). Second, the criteria of classification of the financial strategies were relative, not absolute. Third, households(both elderly households and all households) that employed a diversified portfolio strategy had the greatest net wealth.

• Korean Journal of Agricultural and Forest Meteorology
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• v.18 no.3
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• pp.109-119
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• 2016

This study was conducted to analyze the effect of yearly changes in growing degree days (GDD) on the potential distribution and growth of Quercus mongolica in Korea. Annual tree-ring growth data of Quercus mongolica collected by the $5^{th}$ National Forest Inventory were first organized to identify the range of current distribution for the species. Yearly GDD was calculated based on daily mean temperature data from 1951 to 2010 for counties with current distribution of Q. monglica. When tree-ring growth data were analyzed through cluster analysis based on similarity of climatic conditions, seven clusters were identified. Yearly GDD based on daily mean temperature data of each county were calculated for each of the cluster to predict the change of potential distribution. Temperature effect indices were estimated to predict the effect of GDD on the growth patterns. In addition, RCP 4.5 and RCP 8.5 of climate change scenarios were adopted to estimate yearly GDD and temperature effect indices from 2011 to 2100. The results indicate that the areas with low latitude and elevation exceed the upper threshold of GDD for the species due to the increase of mean temperature with climate change. It was also predicted that the steep increase of temperature will have negative influences on tree-ring growth, and will move the potential distribution of the species to areas with higher latitude or higher elevation, especially after the year of 2050. The results of this study are expected to provide valuable information necessary for estimating local growth characteristics and for predicting changes in the potential distribution of Q. mongolica caused by climate change.

• Journal of the Korean Home Economics Association
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• v.42 no.5
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• pp.27-37
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• 2004

This study was initiated for the purpose of improving the visual effect of lingerie design, and it focused on the image factors and their characteristics of the lingerie design. Images of 105 lingerie design were evaluated by 3-5 images/participant with each image being evaluated 15 times through the SD method 5-scale questionnaire. The lingerie design elements were also analyzed by a committee. For data analysis, SPSS 10.0 program was used, and the principal component analysis, Ward-cluster, K-mean cluster analysis, ANOVA, duncan-test were conducted. The results are as follows: 1) The three major characteristics of the visual images in the lingerie design were aesthetics, dignity, and youth, which were supported 76.78% by the responses. 2) The visual image types can be categorized into four clusters; a dignified style, a sprightly style, a practical style, and a sexual style. 3) The design elements that allowed different design characteristics among the image types were style(one-piece/two-piece), total length, waist fit, matching color, silky lustrous, see-through on waist, hip, race percentages. 4) The ABC(apparel-body-construct) observed that a practical style was perceived as flat and whole rather than a dignified style or a sprightly style, while a sexual style was seen as round and partial.

• The Research Journal of the Costume Culture
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• v.14 no.4
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• pp.542-555
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• 2006

The main objective of this study was to investigate the relationship between benefits segmentation and knitwear purchasing behavior of college female students in the U.S. The questionnaires for this survey were developed to measure knitwear purchasing behavior and benefits segmentation. The questionnaire was administered to 119 female college students in the University of California. The data was analyzed by percentage, frequency, mean, factor analysis, Cluster Analysis and ANOVA, Duncan Multiple Range test. The female college students in the U.S. were classified into fourth subdivisions by the cluster analysis. In the case of fashion information sources of knit wear, significant differences were found according to benefits sought subdivision in observation of famous people's clothing, fashion articles in magazines and newspapers, TV advertisements, Newspaper advertisements, advice of salespeople, and Catalogs. The evaluation criteria of knit wear product of consumers were significantly different depending on benefits sought subdivision in design/style, quality of construction, fashionable, brand and store name, pleasing to others, prestige, and sexy. The store attributes of knitwear product of consumers were significantly different depending on benefits sought subdivision in friendliness of sales personnel, product knowledge of sales personnel, brand names, new fashion, and variety of products. The outlook for the industry of knitwear look to remain bright, there should be a continuous effort to research and invest in consumer satisfaction of knitwear.