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섬유·패션 산업 DB 구축을 위한 대구지역의 연간 피복환경내의 피부온과 쾌적성 -실내 제복을 중심으로-
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  • 섬유·패션 산업 DB 구축을 위한 대구지역의 연간 피복환경내의 피부온과 쾌적성 -실내 제복을 중심으로-
저자명
류덕환,이욱자,김승진,송민규,조지현,정명선,Ryo. Duck-Hwan,Lee. Uk-Ja,Kim. Seong-Jin,Song. Min-Kyo,Cho. Ji-Hyun,Jung. Meung-Sun
간행물명
한국의류산업학회지
권/호정보
1999년|1권 4호|pp.376-386 (11 pages)
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한국의류산업학회
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

The purpose of this study was to determine the physiological responses and the Subjective sensations of the human subjects when 10 human subjects(5 males and 5 females) were tested with selected ensembles, including the uniforms of students, industrial and bank workers. For the study, garment material and design were selected, which was mostly used in Taegu area by the survey. Thermal manikin and the human subject tests were performed. The results were as follows: 1. There was no significant difference among skin temperature of head by season and among that of breast and back by all variables, however, there was a significant difference among that of belly by gender and that of thigh and shank by season. In addition, there was no significant difference among rectal temperature by gender and season, but there was a significant difference by uniform. 2. Mean skin temperature of male subjects was significantly higher than that of female subjects. Specially in lower environmental condition, the difference got larger. 3. There was a significant difference among purse rate of subjects by uniform, but there was no significant difference among those by gender and season. There were no significant difference among maximum and minimum blood pressure by gender, uniform, and season. 4. There was a significant difference in temperature of chest among gender and uniform, and there was no significant difference in temperature of back by season. In addition, There was a significant difference in humidity of back by uniform and season but there were no significant difference in that by gender. 5. There was a significant difference in humidity sensation by gender, comfort sensation by uniform and season, but there was no significant difference thermal sensation by uniform and season. 6. For the result of regression analysis, we got the regression equations as follows: Clo=1.810 Thickness+0.525, Clo=0.475 weight+0.863.