Ungku Nur Ainaa Ungku Mohd Aziz, Nor Dalila Nor Affandi, A. Harun, Mohd Azizi Abdul Rahman, Liliana Indrie, Noor Najmi Bonnia
Commercial disposable facemasks have lower breathability and may cause discomfort after hours of wearing them. Graphene oxide (GO) nanoparticles offer a significant opportunity to improve the breathability of facemask materials. Hence, the current study aimed to investigate the feasibility of incorporating GO in facemask materials. The GO was synthesized from recovered carbon of waste carbon tyre. In this study, two concentrations of GO (0.01 and 0.02%) were used to enhance the comfort properties of the polypropylene (PP) facemask fabric. The GO-coated PP facemask fabrics were characterized for scanning electron microscopy, energy dispersive X-ray, and Raman spectroscopy. The comfort properties were determined using air permeability, water vapour permeability, and moisture management test. Raman analysis revealed distinctive peaks corresponding to GO at approximately 1,300 and 1,500 cm−1. The GO displayed bumping pieces of particles and a textured surface, with a diameter ranging from 30 to 80 nm. The result of mercury porosimetry shows that the PP fabric coated with 0.02% of GO provided a higher pore diameter and porosity at approximately 21.31 µm and 82.79%, respectively. Due to its high pore diameter and porosity, the PP filter facemask fabric coated with 0.02% GO demonstrated enhanced air permeability, water vapour permeability, and moisture management. These results suggested that the sample possesses favourable breathability properties as compared to the sample without GO. By undertaking this study, GO synthesized from the waste carbon tyre was developed, which can enhance the breathability of fabric materials.
商用一次性面罩的透气性较差，佩戴数小时后可能会引起不适。氧化石墨烯（GO）纳米粒子为改善面罩材料的透气性提供了一个重要机会。因此，本研究旨在探讨在面罩材料中加入 GO 的可行性。GO 由废旧碳轮胎的回收碳合成。本研究使用了两种浓度的 GO（0.01% 和 0.02%）来提高聚丙烯（PP）面罩织物的舒适性。用扫描电子显微镜、能量色散 X 射线和拉曼光谱对涂覆了 GO 的聚丙烯面罩织物进行了表征。通过透气性、透湿性和湿度管理测试确定了面罩的舒适性。拉曼分析表明，在大约 1 300 和 1 500 cm-1 处存在与 GO 相对应的独特峰值。GO 显示出凹凸不平的颗粒和纹理表面，直径在 30 纳米到 80 纳米之间。汞孔测定法的结果表明，涂有 0.02% GO 的聚丙烯织物具有更高的孔径和孔隙率，分别约为 21.31 µm 和 82.79%。由于孔径和孔隙率较高，涂有 0.02% GO 的聚丙烯过滤面罩织物的透气性、水蒸气渗透性和湿度管理能力都得到了增强。这些结果表明，与不涂 GO 的样品相比，该样品具有良好的透气性能。通过这项研究，开发出了由废旧碳纤维轮胎合成的 GO，它可以增强织物材料的透气性。
{"title":"Facemask comfort enhancement with graphene oxide from recovered carbon waste tyres","authors":"Ungku Nur Ainaa Ungku Mohd Aziz, Nor Dalila Nor Affandi, A. Harun, Mohd Azizi Abdul Rahman, Liliana Indrie, Noor Najmi Bonnia","doi":"10.1515/aut-2023-0013","DOIUrl":"https://doi.org/10.1515/aut-2023-0013","url":null,"abstract":"\u0000 Commercial disposable facemasks have lower breathability and may cause discomfort after hours of wearing them. Graphene oxide (GO) nanoparticles offer a significant opportunity to improve the breathability of facemask materials. Hence, the current study aimed to investigate the feasibility of incorporating GO in facemask materials. The GO was synthesized from recovered carbon of waste carbon tyre. In this study, two concentrations of GO (0.01 and 0.02%) were used to enhance the comfort properties of the polypropylene (PP) facemask fabric. The GO-coated PP facemask fabrics were characterized for scanning electron microscopy, energy dispersive X-ray, and Raman spectroscopy. The comfort properties were determined using air permeability, water vapour permeability, and moisture management test. Raman analysis revealed distinctive peaks corresponding to GO at approximately 1,300 and 1,500 cm−1. The GO displayed bumping pieces of particles and a textured surface, with a diameter ranging from 30 to 80 nm. The result of mercury porosimetry shows that the PP fabric coated with 0.02% of GO provided a higher pore diameter and porosity at approximately 21.31 µm and 82.79%, respectively. Due to its high pore diameter and porosity, the PP filter facemask fabric coated with 0.02% GO demonstrated enhanced air permeability, water vapour permeability, and moisture management. These results suggested that the sample possesses favourable breathability properties as compared to the sample without GO. By undertaking this study, GO synthesized from the waste carbon tyre was developed, which can enhance the breathability of fabric materials.","PeriodicalId":49104,"journal":{"name":"Autex Research Journal","volume":"78 9","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140525034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Evrim Buyukaslan Oosterom, Fatma Baytar, Deniz Akdemir, Fatma Kalaoglu
The objectives of this study were to apply alternative machine learning (ML) algorithms to predict consumers’ garment fit satisfactions (real fit satisfaction [RFS]) and compare the efficiencies of these algorithms to predict RFS. Skirts made from different fabrics were used as test garments. Mechanical properties of the skirts’ fabrics were assigned as predictor variables to estimate RFS. Study participants’ virtual body models were created by using 3D body scanner and used for virtual fitting. Each participant physically tried on the skirts and evaluated the fit. Participants also viewed the skirt simulations on their avatars and evaluated the virtual fit, which represented participants’ virtual fit satisfactions (VFS). Random Forest (RF), support vector machine (SVM), and conditional tree (CT) algorithms were used to learn from the data to predict participants’ RFSs. The mean correlations between the predicted and observed RFS values in the validation sets were 0.74 (RF), 0.70 (SVM-linear kernel), 0.72 (SVM-radial kernel), and 0.55 (CT). According to the variable importance analysis, VFS had the highest importance among 35 predictor variables. ML is used mostly for sales forecasting and manufacturing purposes in the fashion industry. However, garment fit, which restrains consumers from shopping online, did not get enough attention in ML studies. Besides, the ML algorithms used in fashion and apparel studies are often genetic algorithms and neural networks; therefore, there is a need to test other algorithm types. In this study, we offered alternative ML algorithms (i.e., RF, SVM, and CT) to predict consumers’ garment fit satisfactions.
本研究的目的是应用其他机器学习（ML）算法来预测消费者的服装合身满意度（实际合身满意度 [RFS]），并比较这些算法预测 RFS 的效率。使用不同面料制作的裙子作为测试服装。裙子面料的机械性能被指定为估算 RFS 的预测变量。研究参与者的虚拟人体模型由三维人体扫描仪创建，并用于虚拟试穿。每位参与者都试穿了裙子，并对合身性进行了评估。参与者还可以在自己的化身上观看裙子的模拟效果，并对虚拟试穿效果进行评估，这代表了参与者的虚拟试穿满意度（VFS）。随机森林（RF）、支持向量机（SVM）和条件树（CT）算法被用来从数据中学习预测参与者的RFS。在验证集中，预测值与观察到的 RFS 值之间的平均相关性分别为 0.74（RF）、0.70（SVM 线性核）、0.72（SVM 径向核）和 0.55（CT）。根据变量重要性分析，在 35 个预测变量中，VFS 的重要性最高。ML 主要用于时装业的销售预测和生产目的。然而，服装合身度这一制约消费者网购的因素在 ML 研究中并未得到足够重视。此外，时尚和服装研究中使用的 ML 算法通常是遗传算法和神经网络，因此有必要测试其他类型的算法。在本研究中，我们提供了其他 ML 算法（即 RF、SVM 和 CT）来预测消费者的服装合身满意度。
{"title":"Predicting consumers’ garment fit satisfactions by using machine learning","authors":"Evrim Buyukaslan Oosterom, Fatma Baytar, Deniz Akdemir, Fatma Kalaoglu","doi":"10.1515/aut-2023-0016","DOIUrl":"https://doi.org/10.1515/aut-2023-0016","url":null,"abstract":"\u0000 The objectives of this study were to apply alternative machine learning (ML) algorithms to predict consumers’ garment fit satisfactions (real fit satisfaction [RFS]) and compare the efficiencies of these algorithms to predict RFS. Skirts made from different fabrics were used as test garments. Mechanical properties of the skirts’ fabrics were assigned as predictor variables to estimate RFS. Study participants’ virtual body models were created by using 3D body scanner and used for virtual fitting. Each participant physically tried on the skirts and evaluated the fit. Participants also viewed the skirt simulations on their avatars and evaluated the virtual fit, which represented participants’ virtual fit satisfactions (VFS). Random Forest (RF), support vector machine (SVM), and conditional tree (CT) algorithms were used to learn from the data to predict participants’ RFSs. The mean correlations between the predicted and observed RFS values in the validation sets were 0.74 (RF), 0.70 (SVM-linear kernel), 0.72 (SVM-radial kernel), and 0.55 (CT). According to the variable importance analysis, VFS had the highest importance among 35 predictor variables. ML is used mostly for sales forecasting and manufacturing purposes in the fashion industry. However, garment fit, which restrains consumers from shopping online, did not get enough attention in ML studies. Besides, the ML algorithms used in fashion and apparel studies are often genetic algorithms and neural networks; therefore, there is a need to test other algorithm types. In this study, we offered alternative ML algorithms (i.e., RF, SVM, and CT) to predict consumers’ garment fit satisfactions.","PeriodicalId":49104,"journal":{"name":"Autex Research Journal","volume":"24 8","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140524641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With dry weather and low humidity in autumn and winter, human skin is usually prone to dryness, even leading to itchy skin and other problems, so it is important to do a good job of skin moisturizing. The fabrics produced by using protein fiber have a certain moisturizing effect on human skin. Five types of yarn including collagen fiber, cheese protein fiber, silkworm pupa protein fiber, cashmere protein fiber, and viscose are chosen as veil materials, while nylon/spandex composite fiber is chosen as inner yarn material. Three fabric structures including the weft plain stitch, 1 + 1 mock rib, and 1 + 3 mock rib are selected for the study. Based on the full factorial experimental design method, 15 samples of seamless knitted fabrics are produced using a circular knitting machine. In order to investigate the effects of different veil materials and fabric structure of seamless knitted fabric on skin moisturizing performance, the skin moisture content test and the trans-epidermal water loss test were carried out before and after the fabric samples were wrapped around the skin of 20 participants. The results show that both the veil materials and the fabric structure have significant effects on the skin moisture content. The use of collagen yarn as the veil material and 1 + 1 mock rib as the fabric structure results in better moisturizing effects on human skin. In terms of the trans-epidermal water loss test, the fabric structure has significant effects on the results, while the veil material has no significant effect on it. However, the value of trans-epidermal water loss of the fabric with protein yarn is smaller than that of the fabric with ordinary viscose. Therefore, using cheese protein yarn as the veil material and 1 + 1 mock rib as the fabric structure results in a smaller trans-epidermal water loss value.
{"title":"Study on the relationship between structure and moisturizing performance of seamless knitted fabrics of protein fibers for autumn and winter","authors":"Yiru Hu, Zimin Jin, Qiuyu Wang, Chengxiao Fang, Yuqiang Sun, Xiaofeng Wen","doi":"10.1515/aut-2023-0018","DOIUrl":"https://doi.org/10.1515/aut-2023-0018","url":null,"abstract":"\u0000 With dry weather and low humidity in autumn and winter, human skin is usually prone to dryness, even leading to itchy skin and other problems, so it is important to do a good job of skin moisturizing. The fabrics produced by using protein fiber have a certain moisturizing effect on human skin. Five types of yarn including collagen fiber, cheese protein fiber, silkworm pupa protein fiber, cashmere protein fiber, and viscose are chosen as veil materials, while nylon/spandex composite fiber is chosen as inner yarn material. Three fabric structures including the weft plain stitch, 1 + 1 mock rib, and 1 + 3 mock rib are selected for the study. Based on the full factorial experimental design method, 15 samples of seamless knitted fabrics are produced using a circular knitting machine. In order to investigate the effects of different veil materials and fabric structure of seamless knitted fabric on skin moisturizing performance, the skin moisture content test and the trans-epidermal water loss test were carried out before and after the fabric samples were wrapped around the skin of 20 participants. The results show that both the veil materials and the fabric structure have significant effects on the skin moisture content. The use of collagen yarn as the veil material and 1 + 1 mock rib as the fabric structure results in better moisturizing effects on human skin. In terms of the trans-epidermal water loss test, the fabric structure has significant effects on the results, while the veil material has no significant effect on it. However, the value of trans-epidermal water loss of the fabric with protein yarn is smaller than that of the fabric with ordinary viscose. Therefore, using cheese protein yarn as the veil material and 1 + 1 mock rib as the fabric structure results in a smaller trans-epidermal water loss value.","PeriodicalId":49104,"journal":{"name":"Autex Research Journal","volume":"38 22","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140518067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the digital age, virtual simulation images have become an important communication form of Chinese traditional Yue Opera costumes and their culture. Focusing on the lay viewers’ aesthetic experience, we collected 16 subjective evaluations, including favorites of basic design elements, semantic impressions, and high-level aesthetic experience, of 257 participants on 5 virtual simulation pictures of Yue Opera costumes for different characters and used network analysis to explore the possible relationship of the variables. The inferred networks showed that the archetypal aesthetic was more relevant to the costume design elements, emotions, interests, and the sense of high level. The conspicuous clothing, understanding of creative intent, and the desire for cultural knowledge were key “bridges” in the aesthetic process. Although the aesthetic network of each costume varied partially based on character differences, it showed more similarities overall. On the basis of the findings, we discuss the possible theoretical basis of the networks and make practical suggestions for the virtual dissemination of Yue Opera costumes.
{"title":"Network modeling of aesthetic effect for Chinese Yue Opera costume simulation images","authors":"Han Yanna, Yicheng Jiang, Zheng Xia","doi":"10.1515/aut-2023-0015","DOIUrl":"https://doi.org/10.1515/aut-2023-0015","url":null,"abstract":"\u0000 In the digital age, virtual simulation images have become an important communication form of Chinese traditional Yue Opera costumes and their culture. Focusing on the lay viewers’ aesthetic experience, we collected 16 subjective evaluations, including favorites of basic design elements, semantic impressions, and high-level aesthetic experience, of 257 participants on 5 virtual simulation pictures of Yue Opera costumes for different characters and used network analysis to explore the possible relationship of the variables. The inferred networks showed that the archetypal aesthetic was more relevant to the costume design elements, emotions, interests, and the sense of high level. The conspicuous clothing, understanding of creative intent, and the desire for cultural knowledge were key “bridges” in the aesthetic process. Although the aesthetic network of each costume varied partially based on character differences, it showed more similarities overall. On the basis of the findings, we discuss the possible theoretical basis of the networks and make practical suggestions for the virtual dissemination of Yue Opera costumes.","PeriodicalId":49104,"journal":{"name":"Autex Research Journal","volume":"32 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140516349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To develop antibacterial durability and low yellowing of sports underwear fabric, silver ion polyurethane filaments (Ag+ PUFs) were used as base yarn, and polyamide filaments were used as face yarn. Nine fabric samples with different Ag+ PUF contents (7, 8, 9, 17, 18, and 19%) were prepared. The fabrics were dyed in light, medium, and dark pink. Ag+ PUF was characterized by scanning electron microscopes for the morphology. Antibacterial properties and mechanical properties of Ag+ PUF were measured. The antibacterial durability, yellowing, elastic recovery, air, and moisture permeability were tested, and fuzzy mathematics was used for comprehensive evaluation. The results demonstrated that Ag+ PUF has good antibacterial properties and mechanical properties. The inhibition rates of the fabric against Escherichia coli and Staphylococcus aureus were 100%. When Ag+ PUF content was 18 and 19%, the antibacterial rates of medium pink fabrics both E. coli and S. aureus were 100% after laundering 30 times. The yellowing of the fabric before dyeing was the lowest when Ag+ PUF content was 7%. Compared with before dyeing, the yellowing of the fabric decreased by 19.13 % after dyeing. The comprehensive performance of 3# fabric is the best, and it has antibacterial persistence and low yellowing.
{"title":"Antibacterial and yellowing performances of sports underwear fabric with polyamide/silver ion polyurethane filaments","authors":"Tingting Zhu, Ailan Wan","doi":"10.1515/aut-2023-0020","DOIUrl":"https://doi.org/10.1515/aut-2023-0020","url":null,"abstract":"\u0000 To develop antibacterial durability and low yellowing of sports underwear fabric, silver ion polyurethane filaments (Ag+ PUFs) were used as base yarn, and polyamide filaments were used as face yarn. Nine fabric samples with different Ag+ PUF contents (7, 8, 9, 17, 18, and 19%) were prepared. The fabrics were dyed in light, medium, and dark pink. Ag+ PUF was characterized by scanning electron microscopes for the morphology. Antibacterial properties and mechanical properties of Ag+ PUF were measured. The antibacterial durability, yellowing, elastic recovery, air, and moisture permeability were tested, and fuzzy mathematics was used for comprehensive evaluation. The results demonstrated that Ag+ PUF has good antibacterial properties and mechanical properties. The inhibition rates of the fabric against Escherichia coli and Staphylococcus aureus were 100%. When Ag+ PUF content was 18 and 19%, the antibacterial rates of medium pink fabrics both E. coli and S. aureus were 100% after laundering 30 times. The yellowing of the fabric before dyeing was the lowest when Ag+ PUF content was 7%. Compared with before dyeing, the yellowing of the fabric decreased by 19.13 % after dyeing. The comprehensive performance of 3# fabric is the best, and it has antibacterial persistence and low yellowing.","PeriodicalId":49104,"journal":{"name":"Autex Research Journal","volume":"89 3-4","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140523681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Lasoń-Rydel, Katarzyna Sieczyńska, D. Gendaszewska, K. Ławińska, Tomasz P. Olejnik
The policy of sustainable development, the need to save natural environmental resources, and the use of waste as raw materials in new production processes allow the use of enzymes in many industries. Enzymatic tanning and chrome tanning are two different methods used in the leather industry to transform raw hides into a durable and usable material. Enzymatic tanning uses natural enzymes that are biodegradable and environmentally friendly. Additionally, enzymatic tanning requires less water and generates less waste than chrome tanning. Moreover, enzymatic tanning can result in softer and more flexible leather with better uniformity. Enzymes selectively break down collagen fibers, resulting in a more even tanning and a consistent leather product. The use of combined enzymatic technologies with non-obvious leather finishing methodologies in tanning is forced by European Union regulations limiting the use of hazardous substances and generating significant amounts of corrosive wastewater for the environment. However, tanning with enzymes is not a perfect process; therefore, this work presents the advantages and disadvantages of tanning with enzymes and describes new technological trends in the tanning industry.
{"title":"Use of enzymatic processes in the tanning of leather materials","authors":"M. Lasoń-Rydel, Katarzyna Sieczyńska, D. Gendaszewska, K. Ławińska, Tomasz P. Olejnik","doi":"10.1515/aut-2023-0012","DOIUrl":"https://doi.org/10.1515/aut-2023-0012","url":null,"abstract":"\u0000 The policy of sustainable development, the need to save natural environmental resources, and the use of waste as raw materials in new production processes allow the use of enzymes in many industries. Enzymatic tanning and chrome tanning are two different methods used in the leather industry to transform raw hides into a durable and usable material. Enzymatic tanning uses natural enzymes that are biodegradable and environmentally friendly. Additionally, enzymatic tanning requires less water and generates less waste than chrome tanning. Moreover, enzymatic tanning can result in softer and more flexible leather with better uniformity. Enzymes selectively break down collagen fibers, resulting in a more even tanning and a consistent leather product. The use of combined enzymatic technologies with non-obvious leather finishing methodologies in tanning is forced by European Union regulations limiting the use of hazardous substances and generating significant amounts of corrosive wastewater for the environment. However, tanning with enzymes is not a perfect process; therefore, this work presents the advantages and disadvantages of tanning with enzymes and describes new technological trends in the tanning industry.","PeriodicalId":49104,"journal":{"name":"Autex Research Journal","volume":"18 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140524227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Although the color characteristics of She nationality clothing are slightly different, there are multiple similarities in shapes and textures. Therefore, it is difficult to effectively distinguish different branches of She nationality clothing. To address this problem, this article, taking into account color feature fusion, proposes a recognition method based on a hybrid algorithm of particle swarm optimization and support vector machine (PSO-SVM). First, the color histogram and color moment (CM) feature descriptors were extracted from the five branches of She nationality clothing, and the color feature distribution of each branch was obtained. Then, color feature fusion is performed through optimization and dimensionality reduction of principal components. Furthermore, PSO was introduced to independently optimize parameter combinations. Finally, the different branches of She nationality clothing were automatically recognized. The results demonstrated that the proposed method could effectively distinguish different branches of She nationality clothing. Compared with the recognition accuracy of approaches using single-color histogram and CM feature, the performance of our proposed method was increased by 5.25 and 6.44%, respectively. When the penalty parameter γ gamma and kernel parameter δ 2 {delta }^{2} of SVM were 123.29 and 1.16, respectively, the recognition accuracy of the model was the highest, reaching 98.67%. The proposed method could be a reference for the subdivision recognition of She nationality clothing.
{"title":"Research on She nationality clothing recognition based on color feature fusion with PSO-SVM","authors":"Xiaojun Ding, Tao Li, Jingyu Chen, Fengyuan Zou","doi":"10.1515/aut-2023-0005","DOIUrl":"https://doi.org/10.1515/aut-2023-0005","url":null,"abstract":"Abstract Although the color characteristics of She nationality clothing are slightly different, there are multiple similarities in shapes and textures. Therefore, it is difficult to effectively distinguish different branches of She nationality clothing. To address this problem, this article, taking into account color feature fusion, proposes a recognition method based on a hybrid algorithm of particle swarm optimization and support vector machine (PSO-SVM). First, the color histogram and color moment (CM) feature descriptors were extracted from the five branches of She nationality clothing, and the color feature distribution of each branch was obtained. Then, color feature fusion is performed through optimization and dimensionality reduction of principal components. Furthermore, PSO was introduced to independently optimize parameter combinations. Finally, the different branches of She nationality clothing were automatically recognized. The results demonstrated that the proposed method could effectively distinguish different branches of She nationality clothing. Compared with the recognition accuracy of approaches using single-color histogram and CM feature, the performance of our proposed method was increased by 5.25 and 6.44%, respectively. When the penalty parameter γ gamma and kernel parameter δ 2 {delta }^{2} of SVM were 123.29 and 1.16, respectively, the recognition accuracy of the model was the highest, reaching 98.67%. The proposed method could be a reference for the subdivision recognition of She nationality clothing.","PeriodicalId":49104,"journal":{"name":"Autex Research Journal","volume":"26 4","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139003358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This study was prompted by the unsustainable issues facing the garment industry and the trend toward digitalisation in the post-coronavirus disease 2019 (COVID-19) pandemic era. COVID-19 substantially affected global trade, which caused significant garment industry stagnation due to embargoes and international restrictions. Consequently, the stagnation led to a significant inventory backlog and hindered product distribution, which compelled garment companies to turn to online commerce. A circular economy (CE) attempts to halt commodity flow and convert waste into resources; therefore, it can alleviate the substantial garment industry pollution and waste produced under a linear economy and maximise product life cycles. Industrial Revolution 4.0 incorporates technological innovation and information technology to transform the garment industry, which technologically enhances manufacturing intelligence and inspires garment industry transformation into a CE. This systematic literature review discusses the necessity of transforming the garment industry into a CE and the technological advantages and challenges to promoting sustainable garment industry development. The findings demonstrated that transforming the garment industry into a CE can not only resolve its environmental pollution and excess supply issues but can also accommodate new supply and demand requirements, such as market digitisation, consumer personalisation, and industry chain transparency. Finally, a technology integration initiative was proposed to promote garment industry transformation into a CE by digitising product development to achieve sustainable development.
{"title":"Technology integration to promote circular economy transformation of the garment industry: a systematic literature review","authors":"Wang Yiyan, Norsaadah Zakaria","doi":"10.1515/aut-2023-0006","DOIUrl":"https://doi.org/10.1515/aut-2023-0006","url":null,"abstract":"Abstract This study was prompted by the unsustainable issues facing the garment industry and the trend toward digitalisation in the post-coronavirus disease 2019 (COVID-19) pandemic era. COVID-19 substantially affected global trade, which caused significant garment industry stagnation due to embargoes and international restrictions. Consequently, the stagnation led to a significant inventory backlog and hindered product distribution, which compelled garment companies to turn to online commerce. A circular economy (CE) attempts to halt commodity flow and convert waste into resources; therefore, it can alleviate the substantial garment industry pollution and waste produced under a linear economy and maximise product life cycles. Industrial Revolution 4.0 incorporates technological innovation and information technology to transform the garment industry, which technologically enhances manufacturing intelligence and inspires garment industry transformation into a CE. This systematic literature review discusses the necessity of transforming the garment industry into a CE and the technological advantages and challenges to promoting sustainable garment industry development. The findings demonstrated that transforming the garment industry into a CE can not only resolve its environmental pollution and excess supply issues but can also accommodate new supply and demand requirements, such as market digitisation, consumer personalisation, and industry chain transparency. Finally, a technology integration initiative was proposed to promote garment industry transformation into a CE by digitising product development to achieve sustainable development.","PeriodicalId":49104,"journal":{"name":"Autex Research Journal","volume":"6 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138585474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Contingency and uniqueness are regarded as typical artistic characteristics. To accomplish the realistic effect of each tie-dyeing pattern artwork, we propose a digital tie-dyeing pattern fast-generation algorithm based on auxiliary-classifier deep-convolution generative adversarial network (AC-DCGAN) and image-processing technology. To apply this algorithm, the designer first draws the planar layout diagram of the tie-dyeing patterns. The diagram consists of a white background and polychrome circles, and the regional-connectivity algorithm is used to extract information on all the circle positions as well as the pattern categories in the diagram. Then the AC-DCGAN-generated background image is color-corrected to stitch and complete its construction. The AC-DCGAN-generated tie-dyeing pattern image is also color-corrected and is then segmented and copied to the circle area. Mean filtering creates the final digital tie-dyeing patterns. Results show no obvious color difference in generated patterns, splicing edges show uniform transition, and unique patterns exhibit tie-dye characteristics, achieving realistic artistic effects.
{"title":"Tie-dyeing pattern fast-generation method based on deep-learning and digital-image-processing technology","authors":"Suqiong Liu, Xiao-Shuang Xing, Shan-shan Wang, Jinxiong Zhou","doi":"10.2478/aut-2022-0034","DOIUrl":"https://doi.org/10.2478/aut-2022-0034","url":null,"abstract":"Abstract Contingency and uniqueness are regarded as typical artistic characteristics. To accomplish the realistic effect of each tie-dyeing pattern artwork, we propose a digital tie-dyeing pattern fast-generation algorithm based on auxiliary-classifier deep-convolution generative adversarial network (AC-DCGAN) and image-processing technology. To apply this algorithm, the designer first draws the planar layout diagram of the tie-dyeing patterns. The diagram consists of a white background and polychrome circles, and the regional-connectivity algorithm is used to extract information on all the circle positions as well as the pattern categories in the diagram. Then the AC-DCGAN-generated background image is color-corrected to stitch and complete its construction. The AC-DCGAN-generated tie-dyeing pattern image is also color-corrected and is then segmented and copied to the circle area. Mean filtering creates the final digital tie-dyeing patterns. Results show no obvious color difference in generated patterns, splicing edges show uniform transition, and unique patterns exhibit tie-dye characteristics, achieving realistic artistic effects.","PeriodicalId":49104,"journal":{"name":"Autex Research Journal","volume":"0 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42184236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jianping Wang, Bin Zhang, Xiaofeng Yao, Jinzhu Shen, Luning Yuan, Ting Pan, Deyao Shen, Yupeng Li
Abstract In order to meet the functional requirements of professional skiers for ski underwear, such as warmth, breathability, moisture absorption, sweat drainage, and stretch elasticity, six single-sided jacquard knit fabric structures were designed and then knitted with polyester and DRYARN. Then, 12 fabrics were acquired and ranked comprehensively by the one-way analysis of variance and grey correlative analysis based on entropy. According to the fabric properties and sweat distribution on the human skin surface, the professional ski underwear was zoning designed and the wearing experiment and evaluation were carried out on the “Newton” sweated manikin system. The analysis results show that the fabric with DRYARN® material has better air permeability and moisture permeability. Thermal resistance, Clo value, and permeability play important roles in comprehensive evaluation. The results of wearing experiment show that the seamless professional ski underwear woven based on body mapping sportswear has superior function and reasonable design, which can provide technical support for the design of professional seamless ski underwear.
{"title":"Single-sided Jacquard knit fabric development and seamless ski underwear zoning design based on body mapping sportswear","authors":"Jianping Wang, Bin Zhang, Xiaofeng Yao, Jinzhu Shen, Luning Yuan, Ting Pan, Deyao Shen, Yupeng Li","doi":"10.2478/aut-2022-0033","DOIUrl":"https://doi.org/10.2478/aut-2022-0033","url":null,"abstract":"Abstract In order to meet the functional requirements of professional skiers for ski underwear, such as warmth, breathability, moisture absorption, sweat drainage, and stretch elasticity, six single-sided jacquard knit fabric structures were designed and then knitted with polyester and DRYARN. Then, 12 fabrics were acquired and ranked comprehensively by the one-way analysis of variance and grey correlative analysis based on entropy. According to the fabric properties and sweat distribution on the human skin surface, the professional ski underwear was zoning designed and the wearing experiment and evaluation were carried out on the “Newton” sweated manikin system. The analysis results show that the fabric with DRYARN® material has better air permeability and moisture permeability. Thermal resistance, Clo value, and permeability play important roles in comprehensive evaluation. The results of wearing experiment show that the seamless professional ski underwear woven based on body mapping sportswear has superior function and reasonable design, which can provide technical support for the design of professional seamless ski underwear.","PeriodicalId":49104,"journal":{"name":"Autex Research Journal","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43838287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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