A novel method of using the spiking neural networks (SNNs) and electroencephalograph (EEG) processing techniques to recognize emotion states is proposed in this paper. Three algorithms including discrete wavelet transform (DWT), variance fast Fourier (FFT) are employed extract EEG signals, which further taken by SNN for classification. Two datasets, i.e., DEAP SEED, used validate method. For former dataset, emotional include arousal, valence, dominance liking where each state denoted as...

Purpose This paper aims to discuss the low carbon supply chain practices in China’s textile industry. To curb greenhouse gas emissions, Chinese government has launched restrict regulatory system and imposed energy consumption constraint industry guarantee achievability of economy. The authors aim examine how affects optimal decisions members address coordination issue. Design/methodology/approach conduct two case studies from companies impact constraints on their production operations...

Water footprint (WF) is a newly developed idea that indicates impacts of freshwater appropriation and wastewater discharge. The textile industry one the oldest, longest most complicated industrial chains in world's manufacturing industries. However, also water intensive. In this paper, we applied bottom-up approach to estimate direct blue (WFdir,blue) grey (WFdir,grey) China's at sector level based on WF methodology. results showed WFdir,blue had an increasing trend from 2001 2010. annual...

More gentle washing methods are required in order to maintain the satisfactory appearance of delicate or luxury garments. In current study, a new method with an up–down tapping action was introduced for The influence parameters used on removal five different types IEC soiling from cotton fabrics investigated. cleaning performance mainly relies turbulent flow liquor and mechanical without friction force being applied during laundry. Tapping could good fibre damage remove water-soluble soil...

This article describes the study of eco-impact plastic and paper bags using life cycle impact assessment (LCIA) technique under three different options: usage disposal criteria with existing behavior to reuse governmental policies recycle (option1), as per consumers’ perceptions if systems are in place (option2) case absence recycling (option3). The first stage, which was baseline for other options, comprised manufacturing phase, without considering phases. LCIA performed by Eco-indicator...

Textile and apparel industrial processes generate a huge amount of greenhouse gas emissions, which is severe environmental issue for China. Aiming at reduction, carbon footprint calculation method presented. In calculations, allocation methodology among the most significant controversial issues; it can be major reason LCA uncertainty robustness caused. What more, impacts directly on preparation data collection system boundary. Different outcomes achieved even apparently similar systems by...

Pilling is a major problem in knitted wool fabric, which not only causes unsightly appearance and uncomfortable handle of the but also reduces service life textile product. Most existing technologies for pilling resistance are environmentally friendly owing to use great amount heated water chemicals generation polluting effluents or absorbable toxic exhaust. In this work, an effective technology was proposed address above challenging issues. A novel Engineered Water Nanostructures (EWNS)...

This paper presents a level set boundary description (LSBD) approach for novelty detection that treats the nonlinear directly in input space. The proposed consists of function (LSF) construction, evolution, and termination training process. It employs kernel density estimation to construct LSF initial data set. Then, sign LSF-based algorithm is evolve make it fit more tightly distribution. process terminates when an expected fraction rejected normal reached. evolution utilizes signs values...

Easy care for clothing is increasingly important, but the major problem still severe wrinkles formed on garments after machine washing. In this research, orthogonal tests and analysis of variance (ANOVA) at a 95% confidence level were used to determine critical parameters that affect fabric smoothness. We developed video capturing processing system dynamic measurements in top-loading washer find relationship between movement wrinkling performance during laundering. The ANOVA results showed...

A mathematical model was developed to describe the processes of coupled heat and mass momentum transfer occurring in convective drying 100% porous cotton fabric. In this model, variation both air fabric properties were expressed as a function temperature moisture content. The resulting systems transient non-linear partial differential equations space-time domain together with set initial values boundary conditions numerically solved by utilizing finite difference method. series laboratory...

Traditional computer vision methods cannot match human performance well on fabric smoothness classification, as this is a subjective assessment based sparse, comprehensive and low-cost visual perception. This paper reports new method of appearance, including feature designing wrinkle classification. A multidimensional was designed by generalizing vector quantization dense scale-invariant transform (SIFT) descriptors for sparse coding max pooling. Sparse provides clear understanding about the...

Fabric motion in tumble dryers, particularly the observed from cross-section of rotating drum, contributes significantly to heat and mass transfer between textiles surrounding hot airflow. However, wider picture for this process is not yet clear requires further study. In article, fabric with different drum rotation direction settings was analyzed experimentally determine effect on drying performance. A high-speed video camera used record during entire process. The recorded movies were then...

Traditional textile cleaning methods raise significant environmental concerns, contributing to fabric waste, high energy consumption, and water pollution due the extensive use of time, mechanical force, detergents. This study investigates potential Micro-nano bubbles technology as a more environmentally friendly alternative, focusing on reducing dependency force detergents during separation processes. A total fourteen real stains five standardized were selected evaluate effectiveness in...