• Journal of Computing Science and Engineering
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• v.11 no.3
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• pp.79-91
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• 2017

In this paper, the abdominal-deformation measurement scheme is conducted on a shape-flexible mannequin using the DIC technique in a stereo-vision system. Firstly, during the integer-pixel displacement search, a novel fractal dimension based on an adaptive-ellipse subset area is developed to track an integer pixel between the reference and deformed images. Secondly, at the subpixel registration, a new mutual-learning adaptive particle swarm optimization (MLADPSO) algorithm is employed to locate the subpixel precisely. Dynamic adjustments of the particle flight velocities that are according to the deformation extent of each interest point are utilized for enhancing the accuracy of the subpixel registration. A test is performed on the abdominal-deformation measurement of the shape-flexible mannequin. The experiment results indicate that under the guarantee of its measurement accuracy without the cause of any loss, the time-consumption of the proposed scheme is significantly more efficient than that of the conventional method, particularly in the case of a large number of interest points.

• The International Journal of Costume Culture
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• v.12 no.2
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• pp.197-201
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• 2009

The meaning of brassieres much more than a piece of underwear for women because breasts are considered the symbol of feminine sexuality, througout the history, women have used various intimate apparel or device to shape their body. In this article, have highlighted the relationships between fashion and technology, attractiveness, identity and, all of which are important components of aspects and evaluation of bra.

• Fashion & Textile Research Journal
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• v.14 no.5
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• pp.791-802
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• 2012

This study promotes education, purchase, and advertisement activities related to eco-friendly apparel products. The study examined college students and their demographic characteristics, their recognition of and interest in, knowledge, purchase, and attitude towards advertisements related to eco-friendly apparel products. In this study, 337 students from various universities in Daejeon participated in a questionnaire survey from March 7 to March 25, 2011. The collected materials were analyzed by frequency analysis, factor analysis, cluster analysis, cross tabulations analysis, and t-test using SPSS 18.0 software. The results of these tests revealed that more students from the upper grades belonged to the Environmentally Friendly Group compared to those in the Non-environmentally Friendly Group. It was also found that students in the Environmentally Friendly Group had a higher level of consciousness and expressed a greater interest in eco-friendly apparel products as well as towards the launch of educational programs. Additionally, this group was more supportive of the need for new courses and had a higher likelihood to enroll in these courses. The research results revealed that (compared to the Non-environmentally Friendly Group) the Environmentally Friendly Group exhibited a greater satisfaction with the designs of eco-friendly apparel products and had more experience to examine advertisements about eco-friendly apparel products; in addition, they expressed a higher likability and reliability to these advertisements. The results also showed that the Environmentally Friendly Group believed that advertisements had persuasive power and were quite impressive in recalling the advertisements.

• The Research Journal of the Costume Culture
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• v.9 no.4
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• pp.629-638
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• 2001

This study was intended to identify the desired image and fabric preference of woman college student for apparel and the relationship between these variables. Data were collected by questionnaire distributed to 260 woman college students through August to September of 2000. After eliminating incomplete questionnaires, 236 were analyzed. The most desired image was neat, and the most preferred fabric was natural fiber textile in fiber contents and light and soft in fabric sensation. The avoided image was masculine, and the negative sensation was heaviness. As a result of factor analysis, 7 factors -cute, intellectual, animate, neat, mature, sporty, sexy- were determined in image. And 8 factors -soft, durable, flat, rigid, light, bulky, heavy, pliable- were determined in fabric sensation. These factors explained large percentage of variance respectively. Multidimensional scaling was employed to analyze the relationship between desired image and fabric preference. Two dimensions were accepted to interpret the relationship. One of the results showed the closeness among the natural fiber textile, lightness, durability and natural image. And the short distance among the blended textile, elasticity, warmness and sporty image was presented.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.5
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• pp.678-689
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• 2004

The purpose of this study was to analyze strategic alliances in fashion business in Korea and to describe the trends of alliances. Fashion business was divided into textile manufacturers, apparel manufacturers, retailers, and service businesses. Alliance cases were collected from articles in various sources of periodicals searched from data bases. A total of 247 alliance cases in fashion business from January 2000 to August 2003 were analyzed. Cases were categorized into horizontal alliances among competitors in the same distribution channel and vertical alliances with partners in a different channel within the fashion business and into alliances with partners outside the fashion business. The study described the patterns of each of the vertical and horizontal alliances within and between textile manufacturers, apparel manufacturers. and retailers as well as the alliances with service businesses outside the fashion business.

• Journal of the Korean Society of Costume
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• v.59 no.8
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• pp.26-36
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• 2009

The aim of this study is to be the fundamental study for virtual clothing system of the future through a comparative analysis of the difference between a virtual frill skirt and a real frill skirt using a 3-dimensional Apparel cad system. Satin was selected as a comparative fabric of the real skirt and virtual skirt. And compared skirts are frilled 1.5widths, 2widths, and 2.5widths. In case of 1.5widths frilled, the real skirts and virtual skirts showed no significant difference except in shirring frill expression. However, in case of 2widths frilled, and 2.5widths frilled skirts, significant differences in the extent of frill flattening, the sectional diagram of the bottom hem, and the skirt shape. The virtual skirt showed that as its multiple proportion of frill increased, the sidelines of the skirt drooped and excessively extended, and collision detection that the belt was twisted and torn apart arose. Furthermore, not only the frill but also the shape of the skirt was transformed, and the bottom hems were widened back and forth, and the sectional diagram of the bottom hems were transformed into rounded shapes.

• Fashion & Textile Research Journal
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• v.6 no.3
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• pp.347-356
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• 2004

The purpose of this study is to analyze the sizing system and size designation of ready-made jackets for women. We survey the sizing system and size labeling that have been used and presently practiced by the domestic garment industry of ready-made woman's jacket. In addition, 264 tailored jackets are measured for the sake of this study. The jackets are classified into 3 groups(young, missy, and madame) according to the target age of the brand. The result shows that size labeling involves body measurements(85-94-160), size code(55, 66) or simplified letter(S, M, L). However, the correspondence of size information and ease tolerances of jackets is not consistent and each company has its own sizing system. There are significant differences among young, missy, and madame group on the bust girth of apparel in 66size code. The average apparel size piteh measurement distributions(bust girth and hip girth respectively) of young group are 9cm and 13cm in 55 size code, those of missy group are 7 em and 3 cm in 66 size code, and those of madame group are 6cm and 4cm in 77 size code. The ease of bust girth and hip girth in missy group are much more than other groups.

• Fashion & Textile Research Journal
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• v.14 no.6
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• pp.992-1000
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• 2012

This study develops a traditional green fabric pattern design through an apparel CAD system. The method used simulated stage costumes and evaluated the consumer satisfaction connected with a 3D fitting system. The results are as follows. Computerization of the pattern making process can provide higher accuracy and efficiency in apparel pattern making and marking for green fabrics. A Stage costumes design was developed; subsequently, the developed dress patterns are automatically depicted to the input of the body size of the consumer and marked using marking program. This results show that it has an effect on narrow and expensive green fabrics. Stage costumes design can make a simulation by a 3D Fitting system. The results of this study can provide higher consumer satisfaction through a survey of 30 consumers. Stage costumes should attract the sympathy of the spectators. The Acceptance of Andong region's traditional beauty is required. We found that a relationship of performance and clothes, physical functionality and beauty of costumes, possibility of commercialization, and the possible use of a 3D Fitting system use are evaluated. A continuous study of regional culture resources is required since there is a significant possibility for the long-term development of stage clothes.

• Fashion & Textile Research Journal
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• v.10 no.3
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• pp.298-306
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• 2008

The purpose of this study was to consumer's evaluation toward salesperson attributes, satisfaction of salesperson and apparel store on relationship continuity. To this end, a total of 500 questionnaires were distributed to men and women university students and 443 samples were used for the final analysis. Data were analyzed by using frequency, percentage, factor analysis, cluster analysis, One-way ANOVA, crosstabs, Pearson's correlation analysis, regression analysis. The results of this study were as follows; Looking at the effects of evaluation toward salesperson attributes, satisfaction of salesperson on relationship continuity, they showed satisfaction of salesperson had direct influence on relationship continuity extremely when men and women university students are purchasing their clothing. Uniformity, customer orientation, expertise, kindness were as follows. Looking at the effects of evaluation toward salesperson attributes, satisfaction of apparel store on relationship continuity, it showed uniformity has direct influence on maintaining relations extremely when men and women university students are purchasing their clothing. Customer orientation, satisfaction of apparel store, expertise, kindness were as follows. Through this study, it will be applied into program development data for consumer management and education, and salesperson's efficient consumer response as well.

• Fashion & Textile Research Journal
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• v.23 no.4
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• pp.480-490
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• 2021

Sales forecasting is crucial for many retail operations. For apparel retailers, accurate sales forecast for the next season is critical to properly manage inventory and plan their supply chains. The challenge in this increases because apparel products are always new for the next season, have numerous variations, short life cycles, long lead times, and seasonal trends. In this study, a sales forecasting model is proposed for apparel products using machine learning techniques. The sales data pertaining to outerwear items for four years were collected from a Korean sports brand and filtered with outliers. Subsequently, the data were standardized by removing the effects of exogenous variables. The sales patterns of outerwear items were clustered by applying K-means clustering, and outerwear attributes associated with the specific sales-pattern type were determined by using a decision tree classifier. Six types of sales pattern clusters were derived and classified using a hybrid model of clustering and decision tree algorithm, and finally, the relationship between outerwear attributes and sales patterns was revealed. Each sales pattern can be used to predict stock-keeping-unit-level sales based on item attributes.