Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Edwin Kamalha"'
Publikováno v:
Journal of Natural Fibers, Vol 15, Iss 3, Pp 425-435 (2018)
Cotton from the three cotton growing regions of Uganda was characterized for 13 quality parameters using the High Volume Instrument (HVI). Principal Component Analysis (PCA), Agglomerative Hierarchical Clustering (AHC) and k-means clustering were use
Externí odkaz:
https://doaj.org/article/de75d8c8b470419580c4486c9e1ed793
Publikováno v:
Infection Ecology & Epidemiology, Vol 5, Iss 0, Pp 1-6 (2015)
Introduction: To meet key millennium development goals, the rural population needs to be reached for health assessment and service delivery. Gastroduodenal ulcer disease is a common ailment affecting the health of people in Uganda. A cross-sectional
Externí odkaz:
https://doaj.org/article/23151159f6624b0d8d257abfb98501a4
Publikováno v:
Textiles for Functional Applications
Global trends are shifting towards environmental friendly materials and manufacturing methods. Therefore, natural fiber applications are gaining traction globally. Silk, a natural protein fiber is one of the textile fibers that have recently received
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2606f2db59acb6d624daacfe4a0e7108
https://doi.org/10.5772/intechopen.96644
https://doi.org/10.5772/intechopen.96644
Autor:
Xuyuan Tao, Tarun Kumar Agrawal, Kaixuan Liu, Xianyi Zeng, Edwin Kamalha, Jun Xu, Jianping Wang, Pascal Bruniaux, Jun Ren, Xiaowen Jiang
Publikováno v:
International Journal of Industrial Ergonomics. 65:46-59
Garment flats have a wide application in product development production and designing stages. However, the traditional drawing methods of garment flat are very time-consuming, and need professional drawing skills. In this paper, a parametric design m
Publikováno v:
Knowledge-Based Systems. 133:174-182
A remote garment fit evaluation model using machine-learning technique is proposed to estimate garment fit without any real try-on.Digital clothing pressures, generated from a 3D garment CAD software, were taken into account during the remote garment
Publikováno v:
Annals of the University of Oradea. Fascicle of Textiles, Leatherwork; 2021, Vol. 22 Issue 2, p69-74, 6p
Publikováno v:
International Journal of Industrial Ergonomics. 55:60-68
The traditional method of body classification is discrete, using crisp and rather dichotomous classification methods; there are many shortcomings for ergonomic design of clothing products by this method. This paper proposes a fuzzy method to classify
Publikováno v:
Artificial Intelligence for Fashion Industry in the Big Data Era ISBN: 9789811300790
Presently, garment fit evaluation mainly focuses on real try-on and rarely deals with virtual try-on. With the rapid development of e-commerce, there is a profound growth of garment purchases through the Internet. In this context, fit evaluation of v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3616359f430813e39b41cee638ec8a98
https://doi.org/10.1007/978-981-13-0080-6_14
https://doi.org/10.1007/978-981-13-0080-6_14
Using artificial intelligence to predict body dimensions rather than measuring them physically is a new research direction in apparel industry. If implemented, this technology can reduce costs and improve efficiency. In this paper, we proposed a back
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5b3d92a18196e49f9131ca85206ffb9
http://hdl.handle.net/11583/2705363
http://hdl.handle.net/11583/2705363
Purpose The purpose of this paper is to propose a relatively simple and rapid method to create a digital human model (DHM) to serve clothing industry. Design/methodology/approach Human body’s point cloud is divided into hands, foots, head and torso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a27da35efec769b772dbcedeb9999138
http://hdl.handle.net/11583/2705360
http://hdl.handle.net/11583/2705360