Deindividuation and valence of cues: Effects on prosocial and antisocial behavior. Next, customized 2D and 3D virtual garment prototyping tools will be used to create products through interactions between the consumer, designer and pattern maker. . The result of study could be applied to jeans recommendation system for a special consumer. This paper intends to give an overview of the design solutions in fashion for environmentally conscious consumers, presenting green and ethical practices in contemporary clothing design.
One of the biggest challenges of fashion industry is how to become more sustainable. For each visual texture, 106 low-level features are extracted. The results show that for the discussed samples, most fabric tactile properties could be well perceived via vision. The exploration of the processing pathways in human aesthetic perception of visual textures by modelling is vital and valuable in important domains such as product design and architecture. In the future, the precision of the proposed model can be further improved if the size of the learning data increases. Int J Intell Syst 2003; 18: 355— 363. For this purpose, we realize two electronic devices, ready to be integrated into a garment and permitting to collect typical signals on fetal movements.
Considering coeval magma event in the vicinity, the authors hold that granite porphyry from Yabunuma region should have formed in an active epicontinental environment on the background of the southern subduction of Bangong Co-Nujiang Tethyan Ocean crust. Although corresponding models have been constructed, the majority of these models contain elements that are difficult to be simulated or quantified using simple mathematical functions. Nowadays, the demand of small-series production and quick response become more and more important in textile supply chains. Systematic representation and application of a 3D computer-aided garment construction method: Part I: 3D garment basic cut construction on a virtual body model. In this context, one solution to guarantee the control and optimization of globalized supply chain is the implementation of a traceability system to follow-up the activities of different actors of the supply chain, improve brand value by countering pirate and enhance value creation in reverse supply chain. The tactile sensory evaluation of knitted fabrics: effect of some finishing treatments. For the governments at all levels, it is important to enhance consumer satisfaction and improve the quality of basic public services.
Due to inadequate designers in fast fashion industry and the development of the Internet, small-and-medium-sized garment makers have gradually turned to external talents to enhance their new product design efficiency via crowdsourcing initiative. More and more e-shopping platforms have proposed recommendation functions to consumers in order to make them to obtain more easily desired products and then increase shopping sales. The complex relations between these perceptions as well as the physical measurements of body shapes are modeled, leading to the criteria which will permit to determine if a new design style is feasible or not for a given fashion theme. With the rapid development of e-commerce, there is a profound growth of garment purchases through the Internet. The results show a proven efficiency because our method is a good comprise between big data analysis and space dimension reduction.
In this paper we proposed a central order processing system under resource sharing strategy for demand-driven garment supply chains to increase supply chain performances. In this paper, we propose a Naive Bayes-based model to evaluate garment fit. The global thermal comfort of stretch knitted fabrics is a multi-criteria phenomenon that requires the satisfaction of several properties at the same time. This paper presents a new collaborative design-based method for designing customized garments, aimed at the physically disabled people with scoliosis. They are easily understood and connected to everyday life. With new materials and processes and with new end uses this continues to preoccupy researches even more so nowadays. Meanwhile, Benders algorithm is utilized to compare with it for evaluating performance.
A framework for supply chain performance measurement. For improvement of apparel manufacturing in modern fashion industry, it is necessary to develop the capabilities of advanced computing technologies and take great advantage of valuable information that can be dug out from big data. Further, an image pattern recognition based algorithm has been introduced and analysed to extract the information encoded in the tag using coded yarns. Sustainable design solutions use more environmentally friendly materials such as organic cotton, incorporate circular design or design for recycling, e. Rough set theory and its applications in data analysis.
Experimental results indicate that the hierarchical feed-forward layer model of aesthetic texture perception proposed in our research can link computational texture features with aesthetic texture properties quite well. In: Vince J and Earnshaw R eds Advances in modeling, animation and rendering. Next, in order to take into account the influence of neighboring relations of different data, we modify the previous index by proposing a fuzzy classification consistency-based inclusion degree. In this paper, a comprehensive evaluation system is established to assess the garment production performance. Open Textil J 2009; 34 2 : 29— 38. Design needs to attract its target consumers.
Experimental results indicate that, using the proposed interactive hierarchical structure, professional knowledge of the designers can be fully extracted to ensure a high level of consumer satisfaction. Fuzzy set theory is applied to quantify the linguistic evaluation data. In addition, we also find that the incentive policy for crowdsourcing designers can be fulfilled by using a profit-sharing scheme with a piecewise function of order quantity instead of a linear function. There are a lot of structural properties of textile materials also operating parameters knitting+finishing influencing air permeability and there are also statistically significant interactions between the main factors influencing the air permeability of knitted fabrics made from pure yarn cotton cellulose and viscose regenerated cellulose fibers and plated knitted with elasthane Lycra fibers. The complex relation between human body measurements and basic sensory descriptors, provided by designers, is modeled using fuzzy decision trees. By learning from these data, our proposed model can predict garment fit rapidly and automatically without any real try-on; therefore, it can be applied to remote garment fit evaluation in the context of e-shopping. In this chapter, we are going to discuss the recent application of artificial intelligence to the study of fabric tactile properties from a multisensory point of view.