• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.29 no.2
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• pp.259-269
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• 2019

Objective: This study was conducted to prepare fundamental data and assess the relationship between level of exposure to airborne respirable dust, chest radiation findings, and the results of pulmonary function tests among workers in a cloth manufacturing factory. Methods: The number of total subjects was 144 (124 female and 20 male) workers in a cloth manufacturing factory in the city of Busan. This study measured the concentration of airborne respirable dust by gravimetric analysis and performed pulmonary function testing, and got chest radiation findings from December 1, 2016 to March 31, 2017. Collected data was analyzed using the IBM SPSS statistical package program (ver. 24.0). Results: The mean concentration of respirable dust was the highest in the cutting process. The effecting factors on $FEV_1/FVC$ were age, sex, and working process. The effecting factors on chest radiation findings were doing no exercise and concentration of respirable dust. Conclusions: Based on the above results, the authors consider there to be a need to secure sufficient working space and improve the engineering systems, for example the overall or local ventilation, in order to minimize the exposure to respirable dust. Health education and health promotion activities should also be improved in order to maintain optimal health status. The authors expect further studies to be performed on pulmonary function testing, chest radiation findings, and symptoms related to pulmonary function, including continuous observation, among workers in a cloth manufacturing factory.

• Journal of the Korean Home Economics Association
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• v.32 no.5
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• pp.217-227
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• 1994

The Korean clothing industry according to historical documents has a long and deep history. We can deduce the fact that cloth in material was self reliant during the pre-historic period. Although we can not find evidence of clothing material trade from the Three Kingdom era we find active trade with Kang, Jin of China and Japan followed by the spread of Korean clothing material manufacturing skills to Japan. Meanwhile the actual progress of the clothing industry came with the manufacture of cotton stuff in the Koryo era and the official and unofficial trade which brought import and export activity to Korea. Also the manufacture of clothing material by women labor although backward as it may be can be seen as stroug evidence that women labor continuously kept up the development of Korean industry. After the Koryo dynasty trade in clothing material and other clothing items contined with other nations. In conclusion we must not think that the Korean clothing industry started active development from the Chosun dynasty. It is important that we realize this fact and looking at the continuous progress of the Korean clothing industry through historical documents from early history to the Chosun era we rightly evaluate history and be proud of this legacy and also reevaluate the wrong views held before.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2588-2593
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• 2003

Any system has the possibility of an error occurrence. Even if trivial errors were occurred, the original system would be fatally affected by the occurring errors. Accordingly, the error detection must be demanded. In this paper, we developed a real-time error detection system would be able to apply to an electronic Jacquard system. A Jacquard is a machine, which controls warps while weaving textiles, for manufacturing patterned cloth. There are two types of mechanical and electronic Jacquard. An electronic Jacquard is better than a mechanical Jacquard in view of the productivity and realizability for weaving various cloths. Recent weaving industry is growing up increasingly due to the electronic Jacquard. But, the problem of wrong weaving from error data exists in the electronic Jacquard. In this research, a real-time error detection system for an electronic Jacquard is developed for detecting errors in an electronic Jacquard in real-time. The real-time system is constructed using PC-based embedded system architecture. The system detects the occurring errors in real-time by storing 1344 data transferred in serial from an electronic Jacquard into memory, and then by comparing synchronously 1344 data stored into memory with 1344 data in a design file before the next data would be transferred to the Jacquard for weaving. The information of detected errors are monitored to the screen and stored into a file in real-time as the outputs of the system. In this research, we solve the problem of wrong weaving through checking the weaving data and detecting the occurred errors of an electronic Jacquard in real-time.

• Journal of Fashion Business
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• v.16 no.2
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• pp.151-162
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• 2012

The industry-wide development of digital technologies has also affected the textile and fashion industries immensely. The applications of 3D technology, virtual reality, and/or augmented reality systems have helped to create novel fashion brands based on the marriage of IT and textile/fashion industries. 3D digital virtual clothing systems have been developed to help the textile and fashion industries in terms of the planning, manufacturing, marketing and sales sectors. So far, most of the development effort for the 3d virtual clothing systems has been focused on the woven fabrics. The characteristics of woven fabrics differ from those of knitted fabric. Since the physical structures and mechanical properties of the knitted fabrics are definitely different from those of woven fabrics, the simulation process for the knitted fabrics should follow different approaches. The loops in a knitted fabric deform easily. The deformation results in a readily stretchable fabric appearance. Cloth simulation mostly employs models that approximate the mechanical properties of linear elastic planes. This simulation scheme does not, however, describe well enough the behavior of knitted fabrics, which deviate largely from the linear isotropic material characteristics. This study aims at characterizing the tensile deformation and surface textures of a knitted fabric product. Tensile deformation curves for the wale, course, and bias direction are analyzed. The surface texture of the knitted fabric is analyzed by using a 3-dimensional scanning device.