Fashion and Textiles最新文献

Based on a selection of 101 articles published from 2013 to 2022, this study systematically reviews the application of intelligent techniques and optimization algorithms in textile colour management. Specifically, the study explores how these techniques have been applied to four subfields within textile colour management: colour matching and prediction, colour difference detection and assessment, colour recognition and segmentation, and dye solution concentration and decolourization. Following an introduction to intelligent techniques and optimization algorithms in textile colour management, the study describes the specific applications of these techniques in the field over the past decade. Descriptive statistics are used to analyse trends in the use of these techniques and optimization algorithms, and comparative performances indicate the effectiveness of the techniques and algorithms. The study finds that the primary intelligent techniques used in the field of textile colour management include artificial neural networks (ANN), support vector machines (SVM) such as SVM, LSSVM, LSSVR, SLSSVR, FWSVR, fuzzy logic (FL) and adaptive neuro-fuzzy inference systems (ANFIS), clustering algorithms (e.g., K-means, FCM, X-means algorithms), and extreme learning machines (ELM) such as ELM, OSLEM, KELM, RELM. The main optimization algorithms used include response surface methodology (RSM), genetic algorithms (GA), particle swarm optimization (PSO), and differential evolution (DE). Finally, the study proposes a comparison of the performance of intelligent techniques and optimization algorithms, summarizes the relevant research trends, and suggests future research opportunities and directions, besides stating the limitations of this paper.

Hijabs are predominantly worn in hot environments, but very rare studies on the thermo-physiological effects of wearing hijabs are found. We investigated the effects of wearing rayon and polyester hijabs on wearers’ physiological and subjective responses in warm-humid and hot-dry environments. Eight females (25.0 ± 2.3 y in age, 157.7 ± 4.1 cm in height, and 50.8 ± 7.5 kg in weight) participated in three conditions (No hijab, rayon hijab, and polyester hijab condition) during exercise in two thermal environments: a warm-humid (30 °C and 70%RH) and a hot-dry environment (36 °C and 30%RH), which generated an identical wet-bulb globe temperature at 27 °C. The results showed that no differences in rectal temperature were found among the three clothing conditions or the two environments, whereas auditory canal temperature was higher in the hot-dry than in the warm-humid environment (P < 0.05) with no differences between the polyester and rayon hijab conditions. Mean skin temperature and neck temperature were higher for the polyester condition than for the rayon condition in the warm-humid environment (P < 0.05). Sweat rate was greater for the polyester hijab condition than for the no hijab condition in the warm-humid environment (P = 0.049). Heart rate was greater for the polyester hijab condition than for the other two conditions in the warm-humid environment (P < 0.05). Subjects felt more thermally uncomfortable when wearing the polyester hijab than the rayon hijab in the warm-humid environment. Greater thermal burden of the polyester hijab when compared to the rayon hijab was marked in the warm-humid environment, not in the hot-dry environment.

With the ongoing miniaturization of wireless devices, the importance of wearable textiles in the antenna segment has increased significantly in recent years. Due to the widespread utilization of wireless body sensor networks for healthcare and ubiquitous applications, the design of wearable antennas offers the possibility of comprehensive monitoring, communication, and energy harvesting and storage. This article reviews a number of properties and benefits to realize comprehensive background information and application ideas for the development of lightweight, compact and low-cost wearable patch antennas. Furthermore, problems and challenges that arise are addressed. Since both electromagnetic and mechanical specifications must be fulfilled, textile and flexible antennas require an appropriate trade-off between materials, antenna topologies, and fabrication methods—depending on the intended application and environmental factors. This overview covers each of the above issues, highlighting research to date while correlating antenna topology, feeding techniques, textile materials, and contacting options for the defined application of wearable planar patch antennas.

The purpose of this study is to identify the entry conditions that could form a co-evolutionary relationship between a sewing contractor company and a fashion brand, and reveal the outcome of such a relationship. In the Republic of Korea, many fashion brands and sewing companies coexist, and the situation in the fashion industry changes with the rapid development of the country, so it is a suitable environment for investigating their co-evolution strategies. A qualitative research methodology was used to examine the co-evolution process of the fashion brand and the sewing industry. In addition, an objective evaluation was conducted by using interviews with sewing contractor companies and fashion brands that have business relationships with the sewing contractor companies. The results indicated that sewing contractor companies evolve into either mass production or small production systems. In the co-evolutionary process, relational resources and business-to-business transaction suitability are the main entry conditions for sewing contractor companies to coevolve with fashion brands. Knowledge exchange, experience optimization, off-season ordering, and investment in trading companies were observed among sewing contractor companies that formed a co-evolutionary relationship with their fashion brand partners. This study identified and conceptualized factors that played a major role in the process of co-evolution and proved suitable for each production system of sewing contractor companies.

In the realm of retailing, various methods of product presentation exert a significant influence on consumers' perceptions and behaviors. In the context of fashion retailing, one crucial aspect of presentation revolves around outfit coordination (OC), which can be displayed in either an assembled or unassembled manner. Assembled OC entails displaying fashion items collectively on a body, while unassembled OC involves presenting them individually on a flat background. Drawing from the literature on the Elaboration Likelihood Model of attention, this research explores the impact of assembled versus unassembled OC on consumers' imagery elaboration, attention, and product evaluations, employing three online experiments. In the first study (N = 126), we demonstrate that assembled OC, in contrast to unassembled OC, fosters greater imagery elaboration and elicits more positive product evaluations. Building upon these findings, the second study (N = 214) employs a serial mediation analysis to unveil the underlying mechanism involving shifted attention. The third study (N = 182) explores the moderating effect of fashion involvement, revealing that for consumers with a high level of fashion involvement, unassembled OC, rather than assembled OC, leads to higher levels of imagery elaboration and more favorable product evaluations. This research not only enriches the literature on online retailing and visual communication, but also provides actionable insights for industry practitioners on effectively presenting fashion products to online shoppers.

Ultraviolet resistance upon four different types of weft knitted fabrics including Lacoste, Single Jersey, Rib and Interlock were experimentally measured and evaluated by ultraviolet–visible spectroscopy under effects of gauge, specific weight, fiber composition and finishing agent as benzotriazole derivatives. The results showed that ultraviolet protection factor (UPF) of Interlock sample reached the highest value at 42.7. Simultaneously, the higher gauge of Single Jersey knitted fabrics was, the better its ultraviolet protection exhibited. Also, insertion of polyester fibers or spandex fibers into cotton knitted fabrics with a certain ratio strongly increased UPF values. Notably, all UPFs of coated fabrics with a given content of benzotriazole were significantly improved and almost coated samples could undergo several washing cycles and still retain their inherent breathability. This work demonstrated that cotton knitted fabrics coated with benzotriazoles were excellently enhanced ultraviolet protection. Especially, the UPF values on Interlock or Rib specimens as well as Single Jersey samples blended with polyester/spandex fibers were found to be higher than 15.

The purpose of this study is to investigate Thai, Vietnamese and Indonesian consumers’ responses to cross-border online shopping for Korean fashion products using 3D virtual fitting technology. In order to examine the factors affecting a consumer’s attitude toward virtual fitting technology and the purchase intention of Korean fashion products, technology acceptance model, which represents cross-border site characteristics, and technology readiness, which represents a consumer's belief in technology, were used in combination with technology readiness and acceptance model. An online survey was conducted with male and female consumers in their 20 s and 30 s residing in Vietnam, Indonesia, and Thailand. A structural equation model analysis was performed using smart PLS to verify the research model. Among the dimensions of technological readiness, optimism and innovativeness had a positive effect on consumers' perceptions of the cross-border site, and discomfort had a negative effect. Perceived usefulness, enjoyment, and perceived fit had a significant effect on the attitude toward virtual fitting technology, and the effect of enjoyment was the greatest. This study highlighted the role of each dimension of technology readiness by verifying consumer acceptance of virtual fitting technology in cross-border online transactions. It also emphasized the role of perceived enjoyment in technology acceptance.

This study aimed to address the diversity issue in fashion design education by developing two prototypes for Inclusive Fashion Design (IFD) education. The prototypes were constructed based on the 3C3R model of Project-Based Learning (PBL) and incorporated the Persona/Scenario (P/S) toolkit for IFD. Additionally, the study examined the effectiveness of the FEA (Function, Expressive, and Aesthetics) self-checklist and the P/S toolkit in the IFD process. The experiments involved two design instructors, two teaching assistants, and 12 senior-level students divided into four teams. Thematic analysis was conducted on the interview data collected from the participants. The results revealed that FEA factors were highly considered in both education prototypes, regardless of the presence of the P/S toolkit. Maintaining consistency of the IFD concept throughout each stage of the process was found to be crucial, and the use of the P/S toolkit played a significant role in achieving this consistency. Team communication emerged as an essential factor in IFD education, as team collaboration using the P/S toolkit triggered diverse perspectives on targets, facilitated design expansion, and extended individual competences. Overall, this study contributes to the understanding of the diversity issue in fashion design education and promotes the adoption of the IFD education methodology, emphasizing the significance of consistent concept development, effective toolkits, and team collaboration in achieving inclusive design practices.

This research intended to establish a new fashion-related artificial intelligence research topic concerning fashion editorials which could induce streams of further studies. A new fashion editorial dataset, which is a prerequisite in training an AI model, has been established in this study to meet the research purpose. A total of over 150K fashion editorials were initially collected and processed to satisfy necessary dataset conditions. A novel dataset of fashion editorials consisting of approximately 60K editorials is proposed through the process. In order to prove the adequacy of the new dataset, data distribution was analyzed and a generative model was selected and trained to attest that new fashion editorials can be created with the proposed editorial dataset. The results generated by the trained model were qualitatively investigated. The model has shown to have learned various features that compose editorials with the dataset, successfully generating fashion editorials. Quantitative evaluation with FID scores was conducted to support the selection of the generative model used for the qualitative assessment.

There is a necessity to use digital data and tools when developing children’s products. The present study was designed to provide digital methods to guide product development and problem-solving when using 3D body scans and face mask simulations for 6-year-olds. First, key facial measurements were evaluated to better understand the variables that might affect face mask sizing for children for the selected age group. Then the findings were used to optimize the size and fit of a cloth face mask design. Next, the fit of the digital, optimized face mask design was tested on 44 head scans from Size North America by using subjective and objective fit assessment techniques. Study findings suggested that width and length-related measurements are critical for children’s face masks. Body mass index (BMI) and ethnicity were also found to be the main factors for identifying size ranges in the selected age group. As BMIs increase, face mask sizes should increase. Additionally, the results indicated a need to use a larger database of children of all ethnicities to design an inclusive facemask that would provide a comfortable and protective fit for different facial proportions. Although the results cannot be generalized due to the case study approach of the present research and its focus on methods development, they can provide manufacturers, designers, and researchers with guidelines on how to develop proper sizing and use digital data to conduct functional fit analysis for facemasks.