• Textile Coloration and Finishing
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• v.23 no.1
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• pp.43-50
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• 2011

Electrically conductive yarn coated with silver particles are widely used to make smart wear but recent studies on smart fabrics are focused on measuring method of electrical characteristics and improving technologies of its electric properties. Also durability of conductive yarn with environmental change was also important work to make smart fabric. We compared resistance changes of silver coated conductive yarns under various physical and chemical conditions such as repeated strain, heat exposure and pH for basic informations on smart wear manufacturing process. And we deduct that repeated strain among the physical conditions was most effective factors on yarn resistance change and the low resistance change was observed with increasing the number of filaments in identical yarn fineness.

• Science of Emotion and Sensibility
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• v.9 no.4
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• pp.377-383
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• 2006

The purpose of this research is to develop a design model of a smart jacket incorporating MP3 functionality for commercial use, as one of the digital lines of textile to apply If technology. In order to conduct this study, the previous studies were analyzed and usability and wearability tests were conducted using five prototype design models of smart wear with MP3 functionality. Accordingly, the smart jacket incorporating MP3 functionality for commercial use, for which user-centered interface, usability and wearability were completed, was developed by optimizing the design and location of the input interface, control module, the path of wires and earphone etc., based on textile wire and keypad. The smart jacket targets the female dress market from late-teens to early twenties. It will be a high value commodity considers all aspects of recent fashion trends, consumers' emotional satisfaction and the value of digital wear.

• Fashion & Textile Research Journal
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• v.23 no.1
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• pp.84-97
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• 2021

This study examines the impact of perceived risks for smart shoes based on purchase intention by type of smart shoes as well as how they are mediated by fashion innovativeness and technology innovativeness. It also compares the differences between awareness, interest and perceived risk of smart shoes by gender and age. This study was conducted based on men and women in their 20s to 50s who provided 246 samples for data analysis using SPSS 25.0. The results show significant differences in the awareness, interests and perceived economic risk of smart shoes by gender and age. The perceived performance risk had a positive effect on the purchase intention of smart shoes for GPS. Perceived aesthetic-psychological risk had a negative effect on all types of smart shoes. Perceived economic risk had a negative effect on the purchase intention of smart shoes for entertainment; in comparison, perceived social risk had a positive effect on the purchase intention of smart shoes for GPS and entertainment. Fashion innovativeness and technology innovativeness also mediated the relationship between perceived economic risk as well as the purchase intention of smart shoes for healthcare, GPS and entertainment.

• Fashion & Textile Research Journal
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• v.22 no.5
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• pp.660-675
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• 2020

Since Industry 4.0, there is a growing interest in smart manufacturing across all industries. However, there are few studies on this topic in the garment industry despite the growing interest in implementing smart manufacturing. This paper presents the feasibility and essential considerations for implementing smart manufacturing in the garment industry. A systematic review analysis was conducted. Studies on garment manufacturing and smart manufacturing were searched separately in the Scopus database. Key technologies for each manufacturing were derived by keyword analysis. Studies on key technologies in each manufacturing were selected; in addition, bibliographic analysis and cluster analysis were conducted to understand the progress of technological development in the garment industry. In garment manufacturing, technology studies are rare as well as locally biased. In addition, there are technological gaps compared to other manufacturing. However, smart manufacturing studies are still in their infancy and the direction of garment manufacturing studies are toward smart manufacturing. More studies are needed to apply the key technologies of smart manufacturing to garment manufacturing. In this case, the progress of technology development, the difference in the industrial environment, and the level of implementation should be considered. Human components should be integrated into smart manufacturing systems in a labor-intensive garment manufacturing process.

• Fashion & Textile Research Journal
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• v.10 no.5
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• pp.618-624
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• 2008

The purposes of this study were to explore the perceived risk of smart clothing, to classify consumers by risk perception of smart clothing, and to investigate the differences among the segmented groups in regard to the evaluation of newness and innovativeness of smart clothing. In addition, the relationship among perceived risk, evaluation of newness and innovativeness of smart clothing were examined. A questionnaire was administered to 338 male and female subjects aged from 17 to 50. Analysis was performed by factor analysis, cluster analysis, ANOVA, and Pearson's correlation analysis. The results showed that the perceived risk of smart clothing was composed of 4 factors: economic risk, social risk, functional risk and physical risk. Consumers were classified into four groups: high risk perception group, low economic risk perception group, low functional risk perception group, and low social risk perception group. ANOVA showed that there were significant differences among four groups regard to the evaluation of newness and innovativeness of smart clothing. High risk perception group most highly evaluated the newness and innovativeness of smart clothing. There were positive correlation among the perceived risks, the evaluation of the newness and innovativeness of smart clothing.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.121-129
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• 2009

Nowadays, global interest is being placed on research and development of smart clothing which is expected to create a high added-value industry in the future. The purpose of this research is to develop smart pants with vibrating massage functions that have excellent outer appearances and provide comfort to wearers and assess outer appearance, comfort, and massaging effects of smart pants. As the results of this research, smart pants where vibrating devices which are mainly composed of vibrating motor, controller, and switch are attached were completed. Vibrating motors were fixed on a thin and light non-woven fabric material, covered with a mesh material, and attached by snaps to the experiment pants. Switch was attached to the inside of a pocket, and batteries were positioned inside of pockets. Ten subjects marked their satisfaction of wearing smart pants on a 5-point scale. Noticeable changes in outer appearance when vibrating motors operate turned out to be low. Wearer's comfort in back waist and front thigh parts where vibrating motors were attached turned out to be high-satisfied. Massaging effects of smart pants turned out to be high. Attaching and detaching vibrating devices turned out to be convenient. Lining materials used for smart paints were effective in blocking electromagnetic waves generated from vibrating devices.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.6
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• pp.1154-1162
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• 2020

In this study, the soft textile actuator is produced for a smart wearable with the shape memory effects from linear shape memory alloys of Nickel and Titanium using the driving force through the fabrication process. The measurement model was designed to measure dynamic characteristics. The heating method, and memory shape of the linear shape memory alloy were set to measure the operating temperature. A shape memory alloy at 40.13℃, was used to heat the alloy with a power supply for the selective operation and rapid reaction speed. The required amount of current was obtained by calculating the amount of heat and (considering the prevention of overheating) set to 1.3 A. The fabrication process produced a soft textile actuator using a stitching technique for linear shape memory alloys at 0.5 mm intervals in the general fabric. The dynamic characteristics of linear shape memory alloys and actuators were measured and compared. For manufactured soft textile actuators, up to 0.8 N, twice the force of the single linear shape memory alloy, 0.38 N, and the response time was measured at 50 s.

• Textile Coloration and Finishing
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• v.17 no.6 s.85
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• pp.51-59
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• 2005

To manufacture hightech easycare wool, there are several methods which use strong oxidising agent or the resin treatment, however, neither are environmentally friendly methods. Moreover it may deteriorate the handle. The aim of this study is to manufacture the hightech easycare wool using the modified Fenton method which can be formed by hydrogen peroxide and ferric sulfate and enzyme treatment. The method was pretreated by ferric sulfate on the wool surface and then the surface of wool scale was selectively removed by ferric ion catalyst. Subsequently the Enchiron which is one of the proteolytic enzymes was treated on the wool surface. The treated wool had the result of having optimum weight loss and excellent whiteness and good handle. Therefore implications of these results suggest that this method using the modified Fenton method and enzyme treatment may be one way of manufacturing the hightech easycare wool.

• Fashion & Textile Research Journal
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• v.9 no.1
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• pp.35-40
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• 2007

Smart Clothing is digital wear progressed from wearable computer that the function of clothing is unified with that of a computer to extend human ability in everyday life. To study consumers' perception and responses toward the Smart Clothing, this study tested the influence of fashion innovativeness and technological innovativeness on attitudes and buying intention related to the Smart Clothing. Data were collected through a survey with 256 male and female adults in age from 18 to 45 year old. The results of Pearson correlation analysis revealed that there was not a positive relationship between fashion innovativeness and technological innovativeness. Multiple regression analysis indicated that fashion innovativeness was a significant predictor of attitudes and buying intention regarding the Smart Clothing. In addition, respondents were classified into four groups according to the scores of their fashion innovativenss and technological innovativeness. A series of ANOVA and Duncan test were used to determine if significant differences existed among four groups. The group having high level of innovativeness on both fashion and technology had the most positive attitudes toward smart clothing. The individuals having cognitive experiences of the Smart Clothing had higher level of fashion innovativeness and more positive attitudes to it. Based on these findings, recommendations for the developer of Smart Clothing and future research are offered.

• Fashion & Textile Research Journal
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• v.23 no.6
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• pp.799-809
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• 2021

This study aimed to grasp the perceptions and trends in fashion platforms and fashion smart factories using big data analysis. As a research method, big data analysis, fashion platform, and smart factory were identified through literature and prior studies, and text mining analysis and network analysis were performed after collecting text from the web environment between April 2019 and April 2021. After data purification with Textom, the words of fashion platform (1,0591 pieces) and fashion smart factory (9750 pieces) were used for analysis. Key words were derived, the frequency of appearance was calculated, and the results were visualized in word cloud and N-gram. The top 70 words by frequency of appearance were used to generate a matrix, structural equivalence analysis was performed, and the results were displayed using network visualization and dendrograms. The collected data revealed that smart factory had high social issues, but consumer interest and academic research were insufficient, and the amount and frequency of related words on the fashion platform were both high. As a result of structural equalization analysis, it was found that fashion platforms with strong connectivity between clusters are creating new competitiveness with service platforms that add sharing, manufacturing, and curation functions, and fashion smart factories can expect future value to grow together, according to digital technology innovation and platforms. This study can serve as a foundation for future research topics related to fashion platforms and smart factories.