• Fashion & Textile Research Journal
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• v.8 no.4
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• pp.382-390
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• 2006

In the 21st century, men is expressing the femininity instead of the muscularity. And a boundary line between a man and a woman is not clear any more. A man is interested in the lifestyle of a woman, and he imitates her fashion styles, hairstyles, accessories, make-up, and plastic surgery. He is called as "Metrosexual" or "Crossexual". Nowadays, men as well as women can satisfy the wants for beauty. The beautiful appearance of a man has a good impact on the social relationships. The feminizing trends are generally accepted and are shown in the silhouettes, details, colors, fabrics and accessories. The feminizing trends in men's knitwear are shown in the various items. They have slim silhouettes and feminine details. Also they are made of bulky yarns or fancy yarns, and various stitches for texture effects. The most outstanding changes in men's knitwear are the vivid colors and flower patterns.

• Fashion & Textile Research Journal
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• v.11 no.3
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• pp.488-495
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• 2009

The purpose of this study is to experiment and develop seamless-effect knitwear design using tubular-jacquard structure in order to find a new method of manufacturing knitwear and to suggest a new design. The study is based on changing the point of view about using the practical technique like the tubular jacquard which has been used mainly for expressing patterns. The result of experimenting this, a piece of fabric is able to being worn as a piece of garment. As for using circular structure of tubular jacquard, a body can be fitted into the big space between front and back part of fabric and seams can be made of small patterns of jacquard fabric. The silhouette, the drape and the result of the garment of this experiment are different from the ordinary outfit. Therefore, the study to find a new way of design and manufacturing should go on to suggest a different form and method.

• Journal of the Korea Fashion and Costume Design Association
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• v.10 no.3
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• pp.137-148
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• 2008

This article investigates the production process of knitwear focused on patterns and armhole forms in order to provide basic data for its value-added production. This study was based on empirical data obtained by questionnaires given to 51 respondents employed at knitwear companies. The data had been statistically analyzed with frequency analysis, one-way ANOVA, and Duncan test. The results of this study are the following: First, many knitwear companies used knitting machines, which had gauges as high as 14G. Second, most knitwears companies did not use patterns in the production process. Third, most knitwear companies produced knitwears in which armhole lines were different between the front part and back part of the body, while identical between the front and back parts of the sleeves. Fourth, people with experience in the knitwear industry had the tendency to recognize that armhole lines should be different between the front part of both the body and sleeves and their back part as well, and workers in charge of knitting recognized better than programmers and designers did. Considering the opinions of experienced workers that armhole lines differ between the front and back parts of both the body and sleeves would improve the appearance of knitwear, this study also suggests knitwear patterns of 10G and 16G by using ESMODE's basic knitwear pattern.

• Journal of the Korea Computer Graphics Society
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• v.26 no.5
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• pp.15-24
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• 2020

We present a supervised learning method that estimates the simulation parameters required to simulate the fabric from the static drape shape of a given fabric sample. The static drape shape was inspired by Cusick's drape, which is used in the apparel industry to classify fabrics according to their mechanical properties. The input vector of the training model consists of the feature vector extracted from the static drape and the density value of a fabric specimen. The output vector consists of six simulation parameters that have a significant influence on deriving the corresponding drape result. To generate a plausible and unbiased training data set, we first collect simulation parameters for 400 knit fabrics and generate a Gaussian Mixed Model (GMM) generation model from them. Next, a large number of simulation parameters are randomly sampled from the GMM model, and cloth simulation is performed for each sampled simulation parameter to create a virtual static drape. The generated training data is fitted with a log-linear regression model. To evaluate our method, we check the accuracy of the training results with a test data set and compare the visual similarity of the simulated drapes.

• The Research Journal of the Costume Culture
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• v.9 no.2
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• pp.223-234
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• 2001

The purpose of this study was to investigate the effect of demographics and general buying characteristics of knitwear consumers on their buying decision-making process. In this study, a self-administered questionnaire was distributed to young career women and female undergraduate students. of 580 questionnaires, 496 were used in the following analysis. The data was analyzed with SPSS package. T-test, one-way ANOVA and x² analysis were used to investigate the impact of characteristics of the consumers on their demographics. The high school graduate-career women group, relative to other groups, showed significant differences in practical aspects in buying knitwear. Second, the knitwear buying places of consumers were significantly different depending on the demographics and general buying characteristics of knitwear. The higher annual knitwear buying expenses and the lower knitwear buying frequency, the more a consumer shopped in department stores. Third, the knitwear satisfaction level of consumers was significantly different depending on their demographics and general buying characteristics of knitwear. career women relative to female undergraduate students showed significant differences in satisfaction with design, quality and yarns.

• Fashion & Textile Research Journal
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• v.6 no.4
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• pp.415-420
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• 2004

The market demand for knitwear has been increased both domestically and in export. Despite of the high and consistent demand, knitwear design has been rather simple and tends to show mainly foreign influences. In order to compete efficiently in the world market and to provide more variety, knitwear design originated from our cultural background needs to be developed. Therefore, the purpose of this study is to develop various knitwear design adopting the Korean traditional 'Danchung' motifs and the main colors used in the motifs. Three knitwear works were designed and constructed, which included a round pullover, a half-sleeve V-neck one-piece dress, and an evening dress. The mainly used motifs consisted of natural motifs such as lotus, cloud, and motifs symbolizing good luck such as 壽 and 囍. The Original 'Dan-chung' motifs were stylized into different forms and colors, and this design work was done using CAD system including the 'Adobe Illustrator 9.0' and the '4D box Hi-Knit Program'. Based on the designed images created by the CAD system, an actual design works were knitted using different weft knit methods including a hand knitting machine and weft knit machine of the knitwear manufacturers. This study provided the possibility of knitwear design originated from the Korean traditional culture.

• Fashion & Textile Research Journal
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• v.20 no.4
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• pp.457-463
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• 2018

This study examined the water absorption and drying properties of the thirteen types of the knitted fabrics for sports wear. These physical properties were analysed with relation to the constituent fiber cross-sectional shape and structure parameters of the knitted fabrics by regression analysis. Absorption and drying properties of the knitted fabric specimens were increased with increasing the porosity of the constituent yarns, which was attributed to the capillary channels in the yarns. The water absorption and drying properties were increased and decreased with increasing tightness factor and stitch density of the knitted fabric. The absorption property of the knitted fabric for perspiration absorption and fast dry sport-wear clothing was mostly influenced mostly by fiber cross-sectional shape and its characteristics, whereas, drying property was dependent on the structural parameters of the knitted fabric such as tightness factor and stitch density. Therefore, superior perspiration absorption and fast drying knitted fabric could be obtained in the fabric structure with optimum tightness factor and stitch density, and constituent yarn structure with non-circular fiber crosssection and high porosity. GATS method and MMT method are used to measure sweating fast drying properties and it is necessary to carry out studies using these measurement methods in order to compare with the results of this study.

• Fashion & Textile Research Journal
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• v.13 no.6
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• pp.990-995
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• 2011

This study analyzed the effects of the knit stitch type, fiber composition, and yarn thickness on the mechanical properties of knitted fabric. The results were as follows: The course density was the highest in the case of the rib stitch. On the other hand, the wale density was the highest in the case of the float stitch. The thickness was the highest in the case of the rib stitch. The same results were obtained even for different fiber compositions and yarn thicknesses considered in this study. The burst strength of wool knit fabric was higher than that of A/W knit fabric. The stiffness was the lowest in the case of the plain stitch. The same results were obtained even for different fiber compositions and yarn thicknesses. The pilling properties were excellent for all knit stitches, fiber composition, and yarn thicknesses as pilling degree : 5. The air permeability decreased in the following order : rib > plain > float stitch. The same results were obtained even for different fiber compositions and yarn thicknesses. The heat retention rate decreased in the following order : rib > float > plain stitch. The same results were obtained even for different fiber compositions and yarn thicknesses.

• Fashion & Textile Research Journal
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• v.10 no.6
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• pp.1023-1035
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• 2008

This study conducted a survey to find out dermatitis patients' preferred garment performance and their sentiment in spring/summer knitwears. SPSS 12.0 program was used for factor analysis, frequency analysis, T-test, ANOVA, and Duncan test. The result was as follows; First, in garments, patients required 'health hygiene', 'practicality in use care', 'skin contact' and 'easy movement'. Especially, 'skin contact' is an important property to be considered in patients' clothes. Second, in garment sensitivity, patients importantly considered 'modesty', 'feminine', 'boldness', 'decency', 'easy movement', 'youth', and 'simplicity'. Third, patients preferred simple and modest plain knitwear in light color with thin and soft fabric such as plain knit. And especially, dot pattern in knitwears should be avoided. Fourth, the preferred style of patients was that 'appropriately fit with suitable ease.' They also preferred 'front closed,' ; 'boat neckline' and 'V neckline'; 'raglan sleeve' and 'set-in sleeve'. For hem trim, they preferred 'rib'. Male preferred simple and plain style with round collar of 'tubular trim' and 'rib trim', while female preferred sophisticated and characteristic style with setin sleeve.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.48-56
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• 2009

The purposes of this study were to segment knit wear consumers by their lifestyles and to examine knit wear purchase behavior among the lifestyle segments. The subjects of this study were female consumers who were residents in Seoul and metropolitan areas. The researchers distributed the questionnaires and the final sample of 357 was used for the data analysis. The statistical analysis methods used for the study were factor analysis, cluster analysis, ANOVA, Duncan test, and ${\chi}^2$-test. The results showed that the lifestyle factors had 6 dimensions: fashion, planned purchase, socially active, impulsive consumption, brand, and leisure/culture. These factors were categorized into four groups: brand oriented group, passive group, rational/social group, and fashion/impulsive consumption group. The results also showed that there were significant differences among the groups in regard to knit wear purchase criteria, knit wear image preferences, and other knit wear purchase behaviors. For example, brand oriented group considered design and brand name/fashion important as knit wear selection criteria, and the group preferred an elegance image and a modern image than did other groups.