최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국의류학회지 = Journal of the Korean Society of Clothing and Textiles, v.45 no.6, 2021년, pp.978 - 985
이소민 (이화여자대학교 의류산업학과) , 유동주 (이화여자대학교 의류산업학과) , 신보나 (이화여자대학교 의류산업학과) , 윤선영 , 심명희 (한국섬유수출입협회) , 윤창상 (이화여자대학교 의류산업학과)
This study aims to propose a prediction model for the drape coefficient using artificial neural networks and to analyze the nonlinear relationship between the drape properties and physical properties of fabrics. The study validates the significance of each factor affecting the fabric drape through m...
Admuthe, L. S., & Apte, S. (2010). Adaptive neuro-fuzzy inference system with subtractive clustering: A model to predict fiber and yarn relationship. Textile Research Journal, 80(9), 841-846. doi:10.1177/0040517509355344
Bi, W., Jin, P., Nienborg, H., & Xiao, B. (2018). Estimating mechanical properties of cloth from videos using dense motion trajectories: Human psychophysics and machine learning. Journal of Vision, 18(5):12. doi:10.1167/18.5.12
Carrera-Gallissa, E., Capdevila, X., & Valldeperas, J. (2017). Evaluating drape shape in woven fabrics. The Journal of the Textile Institute, 108(3), 325-336. doi:10.1080/00405000.2016.1166804
Chu, C. C., Cummings, C. L., & Teixeira, N. A. (1950). Mechanics of elastic performance of textile materials: Part V: A study of the factors affecting the drape of fabrics-The development of a drape meter. Textile Research Journal, 20(8), 539-548. doi:10.1177/004051755002000802
Collier, B. J. (1991). Measurement of fabric drape and its relation to fabric mechanical properties and subjective evaluation. Clothing and Textiles Research Journal, 10(1), 46-52. doi:10.1177/0887302X9101000107
Collier, B. J., Paulins, V. A., & Collier, J. R. (1989). Effects of interfacing type on shear and drape behavior of apparel fabrics. Clothing and Textiles Research Journal, 7(3), 51-56. doi:10.1177/0887302X8900700308
International Organization for Standardization. (1977, September). ISO 3801:1977 Textiles - Woven fabrics - Determination of mass per unit length and mass per unit area. ISO. Retrieved from https://www.iso.org/standard/9335.html
International Organization for Standardization. (2008, April). ISO 9073-9:2008 Textiles - Test methods for nonwovens - Part 9: Determination of drapability including drape coefficient. ISO. Retrieved from https://www.iso.org/standard/41375.html
Jeong, Y. J., Min, B. G., & Lee, J. S. (1999). A study on the repeatability of fabric drape. Journal of the Korean Society for Clothing Industry, 1(1), 50-55.
Kanat, Z. E., & Ozdil, N. (2018). Application of artificial neural network (ANN) for the prediction of thermal resistance of knitted fabrics at different moisture content. The Journal of The Textile Institute, 109(9), 1247-1253. doi:10.1080/00405000.2017.1423003
Kim, H. J., Youn, S., Choi, J., Kim, H., Shim, M., & Yun, C. (2021). Indexing surface smoothness and fiber softness by sound frequency analysis for textile clustering and classification. Textile Research Journal, 91(1-2), 200-218. doi:10.1177/0040517520935211
Kim, J., Kim, Y. J., Shim, M., Jun, Y., & Yun, C. (2020). Prediction and categorization of fabric drapability for 3D garment virtualization. International Journal of Clothing Science and Technology, 32(4), 523-535. doi:10.1108/IJCST-08-2019-0126
Kim, J. S. (2020). 빅데이터 분석을 위한 R 프로그래밍 (2nd Edition) [R programming for big data analysis (2nd ed.)]. Seoul: Kame.
Matusiak, M. (2015). Application of artificial neural networks to predict the air permeability of woven fabrics. FIBRES & TEXTILES in Eastern Europe, 23(1(109)), 41-48.
Mitra, A., Majumdar, A., Majumdar, P. K., & Banerjee, D. (2012). Comparative analysis of regression and ANN models for predicting drape coefficient of handloom fabrics. Indian Journal of Fibre & Textile Research, 37(4), 313-320.
Morooka, H., & Niwa, M. (1976). Relation between drape coefficients and mechanical properties of fabrics. Journal of The Textile Machinery Society of Japan, 22(3), 67-73. doi:10.4188/jte1955.22.67
Niwa, M., & Seto, F. (1986). Relationship between drapability and mechanical properties of fabrics. Sen'i Kikai Gakkaishi (Journal of the Textile Machinery Society of Japan), 39(11), T161-T168. doi:10.4188/transjtmsj.39.11_T161
Park, H. (2016). 신경회로망을 이용한 데이터 분석 [Data analysis using neural networks]. Seoul: CHAOS BOOK.
Pattanayak, A. K., Luximon, A., & Khandual, A. (2011). Prediction of drape profile of cotton woven fabrics using artificial neural network and multiple regression method. Textile Research Journal, 81(6), 559-566. doi:10.1177/0040517510380783
Peirce, F. T. (1930). 26-The "handle" of cloth as a measurable quantity. Journal of the Textile Institute Transactions, 21(9), T377-T416. doi:10.1080/19447023008661529
Sanad, R., Cassidy, T., & Cheung, V. (2012). Fabric and garment drape measurement - Part 1. Journal of Fiber Bioengineering and Informatics, 5(4), 341-358. doi:10.3993/jfbi12201201
Sule, G. (2012). Investigation of bending and drape properties of woven fabrics and the effects of fabric constructional parameters and warp tension on these properties. Textile Research Journal, 82(8), 810-819. doi:10.1177/0040517511433152
Taieb, A. H., Mshali, S., & Sakli, F. (2018). Predicting fabric drapability property by using an artificial neural network. Journal of Engineered Fibers and Fabrics, 13(3), 87-93. doi:10.1177/155892501801300310
Yang, S., Pan, Z., Amert, T., Wang, K., Yu, L., Berg, T., & Lin, M. C. (2018). Physics-inspired garment recovery from a single-view image. ACM Transactions on Graphics, 37(5):170. doi:10.1145/3026479
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.