• International Journal of Costume and Fashion
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• v.9 no.2
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• pp.67-78
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• 2009

The volume of the party wear market is gradually growing in the Korean fashion market. The study attempted to examine psychological clothing benefits as the criteria for market segmentation, and identify differences in information sources. and clothing evaluative criteria in each segmentated market. The summary of the key findings are as follows. Three segments were identified by psychological clothing benefits: pleasurably self-expressing group, fashion-seeking group, and indifferent group. The differences in search information sources between the classified groups were identified The fashion-seeking group had a higher mean score on mass media. The pleasurably self-expressing group had higher scores on advice from friends, colleagues, or companions. The differences in evaluative criteria between the classified groups were also identified. Among the evaluative criteria, the splendid boldness and polished silhouette criteria showed a marginal difference between each group. This study can contribute as a cornerstone for future studies on party wear and market strategies.

• Fashion & Textile Research Journal
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• v.5 no.3
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• pp.235-243
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• 2003

This study is to figure out where the current satisfaction with ready-to-wear clothes based on middle-aged women's body shapes is at and to propose basic considerations in its production for coming up with a better sizing system to maximize customer's satisfaction. The data obtained from measurement and questionnaire by 126 middle- aged (35-59) women which were located in Gwangju. Followings are summary of this research, 1)The satisfaction level with lower -wear is relatively lower-wear than that of upper-wear in most parts of body. 2) The results by way of putting score show three different groups. Group 1 has characteristics of front body silhouette in the small ratio of shoulder width/bust width, shoulder width/waist width and big ratio of shoulder width/hip width. And Group 3 has characteristics of front silhouette, small ratio of hip girth/thigh girth. Group 2 has a standard shape. 3) The satisfaction level with lower-wear based on middle-aged women's body shapes shows slight difference. In this category, Group 2 has higher satisfaction level than that of Group 1, while Group 1 has better shape than Group 3. 4) The items of clothes which should be considered current less satisfaction on their size and pattern are skirt and pants. In the meantime, specific body parts for the same criteria are hip girth, thigh girth. And the 43.7% of middle-aged women who responded to this study requires improvement on the fit of lower-wear.

• Journal of Veterinary Clinics
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• v.39 no.5
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• pp.240-245
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• 2022

A 15-year-old, neutered male, Shih-Tzu, was presented at the Chonnam National Veterinary Medical Teaching Hospital for evaluation of acute onset of persistent coughing, exercise intolerance, and abnormal heart sound. On thoracic auscultation, a split-second heart sound and a wheezing sound were detected on both sides of the chest walls. On physical examination, the dog's body condition score (BCS) was 7/9, and had stenotic nares. Thoracic radiographs revealed right-sided enlargement of the cardiac silhouette (vertebral heart score (VHS) 11.2; reference interval = 8.9-10.1), mild main pulmonary artery (MPA) bulging, mild interstitial infiltration, and hepatomegaly. The electrocardiogram showed right axis deviation, suggesting right ventricular hypertrophy. The echocardiographic study showed moderate pulmonary hypertension and moderate tricuspid regurgitation. There were no findings of a tracheobronchial disease, pulmonary thromboembolism, congenital shunt, left heart disease, or parasitic disease. Based on clinical signs and diagnostic findings, the dog was diagnosed with pulmonary hypertension secondary to brachycephalic syndrome. To rectify respiratory exacerbating factors, the dog was recommended weight control by restricting dietary intake and managing concurrent Cushing's syndrome. Treatments included sildenafil, pimobendan, furosemide, and ramipril. After five months of taking medications and weight control, the severity of pulmonary hypertension improved from moderate to mild. The clinical signs of the patient, including coughing and exercise intolerance, improved a lot. For 5 months of follow-up, the patient has not reported further recurrence of respiratory distress.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.2
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• pp.203-214
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• 1998

The purpose of this study is to classify the upper body of women into several kinds of somatotypes, using the method of Surgical Tape and making their shells. The subjects are 53 females 30 to 39 years-old. Fifty-three anthropometric data are measured per shell of bodysurface; six somatotype factors are obtained through principal component analysis and orthogonal rotation by the method of Varimax, Somatotype of women's upper body is achieved by cluster analysis, using the standardized factor score as an independent variable and the FASTCLUS of SAS by Kmeans. The results are as follows: 1. The number of the factors which explain the somatotype is six and those factors comprise 76.12 percent of total variance. Factor 1: related to the size of shape in the front of upper body Factor S: related to the size of shape in the back of upper body Factor 3: related to the type of the upper chest over the chest circumference line Factor 4: related to the length of·the upper body Factor 5: related to the part of the neck Factor 6: related to the type of the lower chest under the chest circumference line 2. Cluster analysis results in classification of upper body into five clusters. Cluster L: the length is the largest and the circumference is small. The part of waist is the largest and widest among surface areas. Cluster 2: Slender body line from chest to waist is characteristic. The length is longer. The part of upper and lower chest is larger among surface areas. Cluster S: the circumference is the smallest and armhole is small. The length and surface area are small. Cluster 4: the circumference and armhole is the largest. The length is the smallest. Cluster 5: the circumference is average and the length is a little long. The body line(silhouette) from chest to waist is curved slightly.

• Korean Journal of Human Ecology
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• v.7 no.3
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• pp.5-13
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• 2004

This study was performed to investigate the characteristics of denim pants preferred by Korean women in their 20's through the analysis of the sensory test(appearance) and garment space length. Four kinds of ready-made denim pants of national and licensed brand on sale in Korea were used as the experimental garment. The results were as follows: 1. The significant difference among brands were found in the appropriateness of ease in the part of waist belt(front), knee (front), ankle(back) and the total silhouette. 2. In the analysis of garment space length. the significant difference among brands was shown in waist belt part $(FL60^{\circ})$, hip $(FL0^{\circ},\;FL30^{\circ})$, crotch(SRR) and knee(BR60^{\circ}). However, total average was not significant difference. 3. According to analysis of pattern size, the brand N was out of balance in crotch depth and girth. by which it can be said that N got the lowest score in sensory test (appearance). On the other hand, Brand GU was large in circumference with short crotch length. 4. Therefore, the most preferred denim pants pattern of Korean women in their 20's was fit in waist belt. hip. crotch circumference and a little bit tight in crotch depth and length. As the design was limited as straight style. more design and brands must be included for future study.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.1
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• pp.170-182
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• 1996

The purpose of this study is to classify the upper body of women into several kind.; of somatotypes, using the method of Surgical Tape and making their shells. The subjects are 50 females 20 to 29 years-old. Fifty-one anthropometric data are measured per shell of body surface : eight somatotype factors are obtained through principal component analysis and orthogonal rotation by the method of Varimax, Somatotype of women's upper body is achieved by cluster analysis, using the standardized factor score a.: an independent variable and the FASTCLUS of SAS by Kmeans. The results are as follows : 1. The number of the factors which explain the somatotype is eight and these factors comprise 81.63 percent of total variance. Factor 1 related to the degree of fatness in the front of upper body Factor 2 related to the degree of fatness in the back of upper body Factor 3 . related to the length of the upper body Factor 4 : related to the type of the upper chest over the chest circmference line Factor 5 : related to the armhole and neck Factor 6 : related to the type of lower chest under the chest circumference line Factor 7: related to the part of the back shoulder Factor 8: related to the depth of front neck and side dart of front independently 2. Cluster analysis results in classification of upper body into five clusters. Cluster 1 : the of circumference i.: lager and that of length is longer than the average The louver part of chest is the lagest and widest among surface areas. Cluster 2 : the circumference is the smallest , the length and surface area are small. The upper and lower chest is small Cluster 3 : the length and surface area are the smallest , the circumference is average. The body line (silhouette) from chest to waist is curved slightly.

• Journal of Fashion Business
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• v.4 no.2
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• pp.113-126
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• 2000

The purpose of the study was to investigate the level of latest fashion adoption of men's wear manufacturers and differences in the level of fashion adoption according to characteristics of brands and merchandise. Thus, this study was to be an exploratory study to examine the trends in fashion adoption of men's wear manufacturers. The questionnaire consisted of questions on 7 elements of fashion adoption and characteristics of men's wear manufacturers and their merchandise. The subjects were to evaluate their level of fashion adoption and rated on 5 point Likert-type scales of 7 elements. For the survey, the subjects were 100 employees (62 merchandisers, and 24 designers, etc.) who are employed by men’s wear manufacturers which have national brands, designer brands, license brands, import brands or private brands. The SAS PC+ package was used to calculate factor analysis, mean, t-test, ANOVA, Duncan's test, and Tukey's test. The results from the study were as follows: 1) The elements of fashion adoption of men's wear manufacturers were divided into 4 factors (clolr/fabric, silhouette/fashion image, detail/item coordination, accessories) which explained 83.61% of the whole of factors. 2) The highest score of mean of fashion adoption factors was fabric/color, but the lowest was accessory factor. 3) There were significant positive correlations between fashion adoption factors except between fabric/color and accessories. 4) There were significant differences in the level of fashion adoption according to types of brands and ages of target consumers. 5) There were significant differences in the level of fashion adoption according to the categories of apparel (suits vs. casual clothing) and types of suits and casual wear.

• Journal of the Korea Society of Computer and Information
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• v.29 no.8
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• pp.53-58
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• 2024

Traffic accidents are not only a threat to human lives but also pose significant societal costs. Recently, research has been conducted to address the issue of traffic accidents by predicting the risk using deep learning technology and spatiotemporal information of roads. However, while traffic accidents are influenced not only by the spatiotemporal information of roads but also by human factors, research on the latter has been relatively less active. This paper analyzes driver groups and characteristics by applying clustering techniques to a traffic accident dataset and proposes and applies a method to calculate the Risk Level for each driver group and characteristic. In this process, the preprocessing technique suggested in this paper demonstrates a higher Silhouette Score of 0.255 compared to the commonly used One-Hot Embedding & Min-Max Scaling techniques, indicating its suitability as a preprocessing method.

• The Journal of the Acoustical Society of Korea
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• v.42 no.6
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• pp.603-616
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• 2023

In this study, machine learning-based clustering and classification of residential noise in apartment buildings was conducted using frequency and temporal characteristics. First, a residential noise source dataset was constructed . The residential noise source dataset was consisted of floor impact, airborne, plumbing and equipment noise, environmental, and construction noise. The clustering of residential noise was performed by K-Means clustering method. For frequency characteristics, L_eq and L_max values were derived for 1/1 and 1/3 octave band for each sound source. For temporal characteristics, Leq values were derived at every 6 ms through sound pressure level analysis for 5 s. The number of k in K-Means clustering method was determined through the silhouette coefficient and elbow method. The clustering of residential noise source by frequency characteristic resulted in three clusters for both L_eq and L_max analysis. Temporal characteristic clustered residential noise source into 9 clusters for L_eq and 11 clusters for L_max. Clustering by frequency characteristic clustered according to the proportion of low frequency band. Then, to utilize the clustering results, the residential noise source was classified using three kinds of machine learning. The results of the residential noise classification showed the highest accuracy and f1-score for data labeled with L_eq values in 1/3 octave bands, and the highest accuracy and f1-score for classifying residential noise sources with an Artificial Neural Network (ANN) model using both frequency and temporal features, with 93 % accuracy and 92 % f1-score.