Dil "eng" Endüstriyel Sanatlar Yüksekokulu için listeleme
Toplam kayıt 9, listelenen: 1-9
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Antibacterial and Physical Properties of Knitted Cotton Fabrics Treated with Antibacterial Finishes
(Amer Assoc Textile Chemists Colorists, 2010)The effects of commercial antibacterial finishing agent application on the physical properties of cotton fabrics, including laundering durability, were investigated. Applications were performed by the pad-dry-cure method. ... -
Antibacterial functionalization of cotton and polyester fabrics with a finishing agent based on silver-doped calcium phosphate powders
(SAGE Publications LTD, 2012)Textiles are suitable materials for the growth of pathogenic microorganisms. Therefore, various antibacterial finishes have already been developed for textile products. In this work an antibacterial finishing agent containing ... -
Comparison of artificial neural network and linear regression models for prediction of ring spun yarn properties. I. Prediction of yarn tensile properties
(Korean Fiber Soc, 2008)In this study artificial neural network (ANN) models have been designed to predict the ring cotton yam properties from the fiber properties measured on HVI (high volume instrument) system and the performance of ANN models ... -
Comparison of artificial neural network and linear regression models for prediction of ring spun yarn properties. II. Prediction of yarn hairiness and unevenness
(Korean Fiber Soc, 2008)The objective of this second part of the study is to develop artificial neural network models for the prediction of yarn hairiness and unevenness and to compare the performance of ANN models with our previous statistical ... -
Measuring relative efficiencies of Turkish universities in 2007: A DEA case study in R
(2011)Benzer araştırma alanlarına, yöntemlerine ve kaynak profiline sahip akademik birimlerin etkinliklerinin ölçülmesi sıklıkla ilgi konusu olmuştur. Bu birimler arasında böyle benzerliklere sahip olmak, bu birimlerin veri ... -
Predicting Bursting Strength of Plain Knitted Fabrics Using Ann
(Insticc-Inst Syst Technologies Information Control & Communication, 2010)In this study, the effects of yarn parameters, on the bursting strength of the plain knitted fabrics were examined with the help of artificial neural networks. In order to obtain yarns having different properties such as ... -
Predicting properties of single jersey fabrics using regression and artificial neural network models
(Korean Fiber Soc, 2012)In our previous works, we had predicted cotton ring yarn properties from the fiber properties successfully by regression and ANN models. In this study both regression and artificial neural network has been applied for the ... -
The prediction of cotton ring yarn properties from AFIS fibre properties by using linear regression models
(Inst Chemical Fibres, 2007)In this paper some models for predicting the most important ring yarn quality characteristics were built by using AFIS (Advanced Fibre Information System) data. Yarn count, twist and roving properties were also selected ... -
Spinning Performance and Antibacterial Activity of SeaCell (R) Active/Cotton Blended Rotor Yarns
(Korean Fiber Soc, 2009)Microorganisms can lead to functional, hygienic and aesthetic (e. g. deterioration, staining) problems on textile products. Natural fibers especially cotton are more easily affected by microorganisms. Blending of cotton ...