In this study an approach for neural networks evaluation of quality management (QM) is proposed. It is based on a checklist tool using a neural networks-based evaluation model. This approach enables the determination of the most important quality criteria and the generation of recommendations for improving the quality management in textile sector. A neural networks method is illustrated and val...

The textile manufacturing industry consists of a wide range of occupations including spinning, weaving, knitting, dyeing and finishing of natural and synthetic fibres to produce fabrics, yarns and carpets. The range of exposures in the industry includes textile related dusts, chemicals used in making synthetic textiles, sizing agents, oil mist, dyes, solvents, crease-resistance agents, flame re...

This paper aims at investigating novel solutions to the problem of textile defect detection from images, that can find applications in building robust quality control vision based systems in textile production. The proposed solutions focus on detecting defects from the textural properties of their corresponding wavelet transformed images. More specifically a novel methodology is investigated fo...

T HE model presented in this paper is a system of recursive linear regression equations, the parameters of which are estimated from monthly series of data covering the period, January, 1951, through December, 1962. The parameters relate certain exogenous and predetermined endogenous variables to apparel demand, apparel output, textile demand, textile output, and employment, earnings, prices, pr...

Homogeneous membranes were prepared by blending poly (acrylic acid) with poly (vinyl alcohol). These blend membranes were evaluated for the selective separation of alcohols from toluene by pervaporation. The flux and selectivity of the membranes were determined both as a function of the blend composition and of the feed mixture composition. The results showed that a polymer blending method coul...

Neural responses to odor blends often exhibit non-linear interactions to blend components. The first olfactory processing center in insects, the antennal lobe (AL), exhibits a complex network connectivity. We attempt to determine if non-linear blend interactions can arise purely as a function of the AL network connectivity itself, without necessitating additional factors such as competitive lig...

A stimuli-responsive poly(vinyl alcohol) (PVA)/sodium alginate (SA) blend monolith with nanoscale porous (mesoporous) structure is successfully fabricated by thermally impacted non-solvent induced phase separation (TINIPS) method. The PVA/SA blend monolith with different SA contents is conveniently fabricated in an aqueous methanol without any templates. The solvent suitable for the fabrication...

Textile structures realised by Additive Manufacturing (AM) techniques have received increasing attention during the previous decade. Due to their potential to significantly improve upon both the geometric complexity and functionality available from conventional fibre-based textiles, AM textiles present a serious opportunity to design and develop novel solutions for conventional and high-perform...

Textile composites are the materials in which the composition and internal structure is changed under controlled conditions so as to match their performance to the most demanding structural or non-structural roles. Textile reinforcement structure can be made of fibers, yarns or fabrics (woven, braided, knitted or non wovens) and are generally flexible. The application of traditional textile tec...

The textile industry is one of the biggest industries in the world and its wastewater is one of the most important threats to the environment and human health. In this study, the ability of Haloarcula sp. IRU1 to produce poly(3-hydroxybutyrate) (PHB) was investigated using a basal salts medium. Different factors like textile wastewater, yeast extract, and KH2PO4 (as carbon, nitrogen, and phosph...