Pub Date : 2023-05-01DOI: 10.1177/24723444231161749
Qinwen Ye, Rong Huang, Huanhuan Liu, Zhaohui Wang
With the stimulating demand of consumers for personalized garments, mass customization is gradually becoming prevalent. However, the automatic generation of personalized garment patterns remains core to mass customization. In this article, we propose a novel parametric apparel pattern-making method and achieve the automatic generation of personalized garment patterns in batches. First, we review the basic principle of biarc and present a new parametric pattern-making method based on biarc and ezdxf. Second, 1000 3D human models randomly generated by the SMPL-X parametric human model are clustered into 10 classes with the k-means clustering method, and 10 representative human models are selected from each cluster to generate their personalized garment pattern. Finally, the rationality of the personalized garment pattern is verified by virtual fitting. Our method has several advantages: (1) the proposed parametric biarc can be easily used to build parametric garment patterns without being limited by the style of the garment, (2) the proposed method is capable of generating personalized garment patterns in batches by imputing measurements from large numbers of individuals, and it only takes very little time, and (3) the personalized garment patterns can fit human bodies very well. The proposed method can be used to build parametric garment patterns and to achieve the batch generation of personalized patterns, improving the efficiency of garment customization and the quality of final products.
{"title":"Individualized Garment Pattern Generation in Batches Based on Biarc and Ezdxf","authors":"Qinwen Ye, Rong Huang, Huanhuan Liu, Zhaohui Wang","doi":"10.1177/24723444231161749","DOIUrl":"https://doi.org/10.1177/24723444231161749","url":null,"abstract":"With the stimulating demand of consumers for personalized garments, mass customization is gradually becoming prevalent. However, the automatic generation of personalized garment patterns remains core to mass customization. In this article, we propose a novel parametric apparel pattern-making method and achieve the automatic generation of personalized garment patterns in batches. First, we review the basic principle of biarc and present a new parametric pattern-making method based on biarc and ezdxf. Second, 1000 3D human models randomly generated by the SMPL-X parametric human model are clustered into 10 classes with the k-means clustering method, and 10 representative human models are selected from each cluster to generate their personalized garment pattern. Finally, the rationality of the personalized garment pattern is verified by virtual fitting. Our method has several advantages: (1) the proposed parametric biarc can be easily used to build parametric garment patterns without being limited by the style of the garment, (2) the proposed method is capable of generating personalized garment patterns in batches by imputing measurements from large numbers of individuals, and it only takes very little time, and (3) the personalized garment patterns can fit human bodies very well. The proposed method can be used to build parametric garment patterns and to achieve the batch generation of personalized patterns, improving the efficiency of garment customization and the quality of final products.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136271742","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}
Pub Date : 2023-04-18DOI: 10.1177/24723444231161748
Praveen Nagarajan Durai, B. Kumar, G. Mahesh, P. Lakshmanakanth
In this research work, different blend ratios of sisal, jute, and banana peduncle fibre (BPF) nonwoven textiles were reinforced for composite manufacturing. Nine different types of composite samples were produced using the fibre reinforcements. The mechanical properties such as tensile, flexural, impact, water absorption and DMA were analysed per different ASTM standards. Results indicated that the jute-/BPF combination of 75%:25% as reinforcement significantly improved the composite material’s mechanical and functional properties (DMA, water absorption). The proper fibre blending ensured higher matrix resin reinforcement, interlaminar strength and compactness in the structure. The SEM analysis showed the internal fracture in the composite specimen.
{"title":"Investigation of Mechanical and Dynamic Mechanical Properties of Sisal, Jute and Banana Peduncle Fibre Composite Materials","authors":"Praveen Nagarajan Durai, B. Kumar, G. Mahesh, P. Lakshmanakanth","doi":"10.1177/24723444231161748","DOIUrl":"https://doi.org/10.1177/24723444231161748","url":null,"abstract":"In this research work, different blend ratios of sisal, jute, and banana peduncle fibre (BPF) nonwoven textiles were reinforced for composite manufacturing. Nine different types of composite samples were produced using the fibre reinforcements. The mechanical properties such as tensile, flexural, impact, water absorption and DMA were analysed per different ASTM standards. Results indicated that the jute-/BPF combination of 75%:25% as reinforcement significantly improved the composite material’s mechanical and functional properties (DMA, water absorption). The proper fibre blending ensured higher matrix resin reinforcement, interlaminar strength and compactness in the structure. The SEM analysis showed the internal fracture in the composite specimen.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"10 1","pages":"214 - 222"},"PeriodicalIF":0.7,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43625812","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}
Pub Date : 2023-04-03DOI: 10.1177/24723444231159856
Jonas LaPier, A. Blum, Brandon R. Brown, Carol F. Kwiatkowski, Betsy Phillips, Hannah Ray, Gang Sun
Per- and polyfluoroalkyl substances are widely used to provide a hydrophobic and oleophobic barrier in some fabric finishing. Per- and polyfluoroalkyl substances are a class of harmful chemicals that persist in the environment and our bodies. For indoor upholstery, these finishes are used to prevent staining. In this study, we examined the effectiveness of certain per- and polyfluoroalkyl substance finishes on commercial indoor fabrics for liquid repellency and stain performance. Three fabrics, each with an unfinished control, a dip finish, and a foam finish, were tested with coffee and oil-based salad dressing stains, two dwell times, two stain application procedures, and three abrasion conditions. Oil stain severity was affected by fabric type, finish, dwell time, and application procedure, but not abrasion. For water-based coffee stains, only fabric type had an effect. Droplet contact angle tests were also performed, revealing water and oil repellency is quickly lost with abrasion. Of the six per- and polyfluoroalkyl substance-finished fabrics tested, five showed small improvements in stain performance over unfinished fabrics; however, the performance differences between fabric types were much larger than the benefits from finishes. For oil stains, per- and polyfluoroalkyl substance finishes help in ideal conditions when the finish is unabraded, stains are set gently on the fabric, and stains are cleaned quickly. Our results suggest that the use of per- and polyfluoroalkyl substances on indoor furniture can be considerably reduced through intentional material selection to achieve better stain performance in lieu of per- and polyfluoroalkyl substance finishes.
{"title":"Evaluating the Performance of Per- and Polyfluoroalkyl Substance Finishes on Upholstery Fabrics","authors":"Jonas LaPier, A. Blum, Brandon R. Brown, Carol F. Kwiatkowski, Betsy Phillips, Hannah Ray, Gang Sun","doi":"10.1177/24723444231159856","DOIUrl":"https://doi.org/10.1177/24723444231159856","url":null,"abstract":"Per- and polyfluoroalkyl substances are widely used to provide a hydrophobic and oleophobic barrier in some fabric finishing. Per- and polyfluoroalkyl substances are a class of harmful chemicals that persist in the environment and our bodies. For indoor upholstery, these finishes are used to prevent staining. In this study, we examined the effectiveness of certain per- and polyfluoroalkyl substance finishes on commercial indoor fabrics for liquid repellency and stain performance. Three fabrics, each with an unfinished control, a dip finish, and a foam finish, were tested with coffee and oil-based salad dressing stains, two dwell times, two stain application procedures, and three abrasion conditions. Oil stain severity was affected by fabric type, finish, dwell time, and application procedure, but not abrasion. For water-based coffee stains, only fabric type had an effect. Droplet contact angle tests were also performed, revealing water and oil repellency is quickly lost with abrasion. Of the six per- and polyfluoroalkyl substance-finished fabrics tested, five showed small improvements in stain performance over unfinished fabrics; however, the performance differences between fabric types were much larger than the benefits from finishes. For oil stains, per- and polyfluoroalkyl substance finishes help in ideal conditions when the finish is unabraded, stains are set gently on the fabric, and stains are cleaned quickly. Our results suggest that the use of per- and polyfluoroalkyl substances on indoor furniture can be considerably reduced through intentional material selection to achieve better stain performance in lieu of per- and polyfluoroalkyl substance finishes.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"10 1","pages":"205 - 213"},"PeriodicalIF":0.7,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42714295","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}
Pub Date : 2023-04-02DOI: 10.1177/24723444231161743
Ma Liang, Li Jun
The core and skin temperature of an infant are essential physiological indicators of the baby’s health and an important reference in the selection of baby clothing. The main idea for this is that parents often wrap their infants in covers and clothing based on their own subjective experience, and infants do not have the ability to express themselves verbally, which is likely to result in over- or under-wrapping, leading to babies feeling too hot or too cold and even causing illness. Accurately predicting and determining infants’ skin and core temperatures at different ambient temperatures is a critical concern in infant clothing research. While the overall skin temperature of infants cannot be understood using traditional body temperature robotic measurements, this article develops a three-dimensional infant thermoregulation model with a geometrical appearance similar to an accurate infant model based on finite element method. Through geometric model construction, cell meshing, boundary condition loading, and user-defined functions program debugging, infants’ body surface and core temperature distribution under different ambient temperatures are calculated. The results were compared with published clinical temperature tests and validated, which were in good agreement with the actual test results and proved the validity of the model calculation. Providing a new method for infant temperature prediction, the findings of this study put forward a scientific reference for infant dressing selection and research on intelligent clothing.
{"title":"Geometrically Accurate Three-Dimensional Infant Thermoregulation Models Based on Finite Element Method","authors":"Ma Liang, Li Jun","doi":"10.1177/24723444231161743","DOIUrl":"https://doi.org/10.1177/24723444231161743","url":null,"abstract":"The core and skin temperature of an infant are essential physiological indicators of the baby’s health and an important reference in the selection of baby clothing. The main idea for this is that parents often wrap their infants in covers and clothing based on their own subjective experience, and infants do not have the ability to express themselves verbally, which is likely to result in over- or under-wrapping, leading to babies feeling too hot or too cold and even causing illness. Accurately predicting and determining infants’ skin and core temperatures at different ambient temperatures is a critical concern in infant clothing research. While the overall skin temperature of infants cannot be understood using traditional body temperature robotic measurements, this article develops a three-dimensional infant thermoregulation model with a geometrical appearance similar to an accurate infant model based on finite element method. Through geometric model construction, cell meshing, boundary condition loading, and user-defined functions program debugging, infants’ body surface and core temperature distribution under different ambient temperatures are calculated. The results were compared with published clinical temperature tests and validated, which were in good agreement with the actual test results and proved the validity of the model calculation. Providing a new method for infant temperature prediction, the findings of this study put forward a scientific reference for infant dressing selection and research on intelligent clothing.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45937881","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}
Pub Date : 2023-03-29DOI: 10.1177/24723444231161744
Yiqi Guo, Lisha Zhu, Xiangyu Ye, Xiaopeng Wang, Yu Xu, Gao Qian, Laili Wang
Emissions of air pollutants cause adverse impacts on human health and the environment. As typical air pollutants, nitrogen oxide and sulfur dioxide cause acid rain and particulate matter (PM). Significant emissions of nitrogen oxide and sulfur dioxide in the production phases make the textile industry face tremendous challenges. Determining the chemical footprint is an effective method for transforming the potential environmental risks of pollutant emissions into an intuitive form of toxicity. In this study, we adopted the chemical footprint method to assess the toxicity impact of nitrogen oxide and sulfur dioxide emissions from China’s textile industry. The results indicate that the chemical footprint of nitrogen oxide and sulfur dioxide in China’s textile industry showed a significant decreasing trend from 2001 to 2019, and the chemical footprint of nitrogen oxide was about 11 times higher than that of sulfur dioxide. Among the three sub-sectors of China’s textile industry, the textile manufacturing sector had the highest chemical footprint, accounting for 57.1–65.7% of the total chemical footprint. The remaining chemical footprint is allocated to the chemical fibers manufacturing sector, and the textile wearing apparel, footwear, and cap manufacturing sector. The chemical footprint intensity of China’s textile industry also showed a decreasing trend from 2006 to 2015, and the chemical footprint intensity of the three sub-sectors was in the order of the chemical fibers manufacturing sector, the textile manufacturing sector, and the textile wearing apparel, footwear, and cap manufacturing sector.
{"title":"Toxicity Impact Assessment of Nitrogen Oxide and Sulfur Dioxide Emissions in China’s Textile Industry With Chemical Footprint Method","authors":"Yiqi Guo, Lisha Zhu, Xiangyu Ye, Xiaopeng Wang, Yu Xu, Gao Qian, Laili Wang","doi":"10.1177/24723444231161744","DOIUrl":"https://doi.org/10.1177/24723444231161744","url":null,"abstract":"Emissions of air pollutants cause adverse impacts on human health and the environment. As typical air pollutants, nitrogen oxide and sulfur dioxide cause acid rain and particulate matter (PM). Significant emissions of nitrogen oxide and sulfur dioxide in the production phases make the textile industry face tremendous challenges. Determining the chemical footprint is an effective method for transforming the potential environmental risks of pollutant emissions into an intuitive form of toxicity. In this study, we adopted the chemical footprint method to assess the toxicity impact of nitrogen oxide and sulfur dioxide emissions from China’s textile industry. The results indicate that the chemical footprint of nitrogen oxide and sulfur dioxide in China’s textile industry showed a significant decreasing trend from 2001 to 2019, and the chemical footprint of nitrogen oxide was about 11 times higher than that of sulfur dioxide. Among the three sub-sectors of China’s textile industry, the textile manufacturing sector had the highest chemical footprint, accounting for 57.1–65.7% of the total chemical footprint. The remaining chemical footprint is allocated to the chemical fibers manufacturing sector, and the textile wearing apparel, footwear, and cap manufacturing sector. The chemical footprint intensity of China’s textile industry also showed a decreasing trend from 2006 to 2015, and the chemical footprint intensity of the three sub-sectors was in the order of the chemical fibers manufacturing sector, the textile manufacturing sector, and the textile wearing apparel, footwear, and cap manufacturing sector.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"10 1","pages":"232 - 240"},"PeriodicalIF":0.7,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48658889","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}
Pub Date : 2023-02-15DOI: 10.1177/24723444221147981
H. Quan, Yang Wang, Lin Xu, Jingzhi Ren, Zengfeng Wei
This research aims to reinforce the hand-feeling and washing fastness of anti-pilling and antistatic cashmere textiles based on a traditional “addition” technique. The technical proposal that effectively controls the distribution of polymer on cashmere textiles, based on foaming micro-coating technology, is studied and compared to prevent the superabundant polymer being fixed in the gaps between yarns/fibers and to ensure the graphene is semi-embedded in the membrane of “Table coating.” A couple of flexible hydrophilic anionic polyurethanes are used in micro-coating processing of cashmere purposefully. The effects of different coating technique on pilling, static, anti-ultraviolet, and washing resistance of coated cashmere textiles are studied. The results show that the semi-embedded graphene in the table coating membrane is meaningful to the static resistance. The pilling resistance of cashmere textile covered by polymer membranes is enhanced from grade 1–2 to grade 4–5 when the weight gain rate of “Bottom coating” polyurethane reaches 1.5% (o.w.f.), and its static voltage half-life decreases from 170 s to less than 2 s. In addition, the ultraviolet protection factor (UPF) value of coated cashmere is doubled, and anti-pilling and anti-static effects can withstand five washings.
{"title":"Design and Fabrication of Bistratal Functional Anionic Polyurethane Membrane on the Surface of Cashmere Fiber Based on Foaming Micro-Coating and the Studies of its Structure–Activity Relationships","authors":"H. Quan, Yang Wang, Lin Xu, Jingzhi Ren, Zengfeng Wei","doi":"10.1177/24723444221147981","DOIUrl":"https://doi.org/10.1177/24723444221147981","url":null,"abstract":"This research aims to reinforce the hand-feeling and washing fastness of anti-pilling and antistatic cashmere textiles based on a traditional “addition” technique. The technical proposal that effectively controls the distribution of polymer on cashmere textiles, based on foaming micro-coating technology, is studied and compared to prevent the superabundant polymer being fixed in the gaps between yarns/fibers and to ensure the graphene is semi-embedded in the membrane of “Table coating.” A couple of flexible hydrophilic anionic polyurethanes are used in micro-coating processing of cashmere purposefully. The effects of different coating technique on pilling, static, anti-ultraviolet, and washing resistance of coated cashmere textiles are studied. The results show that the semi-embedded graphene in the table coating membrane is meaningful to the static resistance. The pilling resistance of cashmere textile covered by polymer membranes is enhanced from grade 1–2 to grade 4–5 when the weight gain rate of “Bottom coating” polyurethane reaches 1.5% (o.w.f.), and its static voltage half-life decreases from 170 s to less than 2 s. In addition, the ultraviolet protection factor (UPF) value of coated cashmere is doubled, and anti-pilling and anti-static effects can withstand five washings.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"10 1","pages":"184 - 193"},"PeriodicalIF":0.7,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47622024","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}
Pub Date : 2023-02-10DOI: 10.1177/24723444221147972
Xingxing Zou, W. Wong
In this article, we propose StylishGAN, a generative adversarial network that generates a fashion illustration sketch given an actual photo of a human model. The generated stylish sketches not only capture the image style from real photos to hand drawings with a cleaner background, but also adjust model’s body into a perfectly proportioned shape. StylishGAN learns proportional transformation and texture information through a proposed body-shaping attentional module. Furthermore, we introduce a contextual fashionable loss that augments the design details, especially the fabric texture, of the clothing. To implement our method, we prepare a new fashion dataset, namely, StylishU, that consists of 3578 paired photo–sketch images. In each pair, we have one real photo collected from the fashion show and one corresponding illustration sketch created by professional fashion illustrators. Extensive experiments show the performance of our method qualitatively and quantitatively.
{"title":"StylishGAN: Toward Fashion Illustration Generation","authors":"Xingxing Zou, W. Wong","doi":"10.1177/24723444221147972","DOIUrl":"https://doi.org/10.1177/24723444221147972","url":null,"abstract":"In this article, we propose StylishGAN, a generative adversarial network that generates a fashion illustration sketch given an actual photo of a human model. The generated stylish sketches not only capture the image style from real photos to hand drawings with a cleaner background, but also adjust model’s body into a perfectly proportioned shape. StylishGAN learns proportional transformation and texture information through a proposed body-shaping attentional module. Furthermore, we introduce a contextual fashionable loss that augments the design details, especially the fabric texture, of the clothing. To implement our method, we prepare a new fashion dataset, namely, StylishU, that consists of 3578 paired photo–sketch images. In each pair, we have one real photo collected from the fashion show and one corresponding illustration sketch created by professional fashion illustrators. Extensive experiments show the performance of our method qualitatively and quantitatively.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43876210","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}
Pub Date : 2023-02-05DOI: 10.1177/24723444221147971
J. Song, Rong Huang, Yujia Tian, Aihua Dong
Automatic image aesthetic evaluation is an attractive and challenging visual task. Recently, methods based on convolutional neural networks have achieved remarkable performance. However, semantic information, an intuitive prerequisite for evaluating image aesthetics, has not received enough attention regarding its importance in previous methods. How to efficiently extract semantic information and make better use of it to assist the aesthetic evaluation task remains unsolved. In this article, we propose to utilize the self-supervised model Auto-Encoder to extract semantic information in the form of multi-task learning. Then, a fusing module is prepended at the bottleneck layer to explicitly combine semantic information with aesthetic information in a pre-activated manner. Specifically, we implement a customized pooling operation to pool the semantic features extracted by Auto-Encoder and apply a weak constraint between the pooled semantic features and aesthetic information to realize the combination. The following regressor can complete aesthetic evaluation based on the semantic–aesthetic combined features. In addition, to enable our model to adapt to arbitrary aspect ratios of images, another pooling strategy called spatial pyramid pooling is adopted to obtain the image features of a fixed length. Our method achieves competitive performance on the public image aesthetic evaluation benchmark. Especially on the most commonly used metric Spearman rank-order correlation coefficient, the proposed model achieved the best performance compared with some state-of-the-art methods. Extensive ablation studies and visualization experiments were conducted to demonstrate the effectiveness of our method.
{"title":"Pre-Activating Semantic Information for Image Aesthetic Assessment","authors":"J. Song, Rong Huang, Yujia Tian, Aihua Dong","doi":"10.1177/24723444221147971","DOIUrl":"https://doi.org/10.1177/24723444221147971","url":null,"abstract":"Automatic image aesthetic evaluation is an attractive and challenging visual task. Recently, methods based on convolutional neural networks have achieved remarkable performance. However, semantic information, an intuitive prerequisite for evaluating image aesthetics, has not received enough attention regarding its importance in previous methods. How to efficiently extract semantic information and make better use of it to assist the aesthetic evaluation task remains unsolved. In this article, we propose to utilize the self-supervised model Auto-Encoder to extract semantic information in the form of multi-task learning. Then, a fusing module is prepended at the bottleneck layer to explicitly combine semantic information with aesthetic information in a pre-activated manner. Specifically, we implement a customized pooling operation to pool the semantic features extracted by Auto-Encoder and apply a weak constraint between the pooled semantic features and aesthetic information to realize the combination. The following regressor can complete aesthetic evaluation based on the semantic–aesthetic combined features. In addition, to enable our model to adapt to arbitrary aspect ratios of images, another pooling strategy called spatial pyramid pooling is adopted to obtain the image features of a fixed length. Our method achieves competitive performance on the public image aesthetic evaluation benchmark. Especially on the most commonly used metric Spearman rank-order correlation coefficient, the proposed model achieved the best performance compared with some state-of-the-art methods. Extensive ablation studies and visualization experiments were conducted to demonstrate the effectiveness of our method.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43392870","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}
Pub Date : 2023-02-05DOI: 10.1177/24723444221147980
J. Che, Xinghua Teng, Junling Ji
This preliminary research discusses the extraction of colorants from pumpkin peel as vegetable dyes and the potential dyeing capability of silk and cotton fabrics. For pumpkin extracts, thermal gravity analysis has verified the range of temperature for application, while a combination of UV–vis spectra and high-performance liquid chromatography analysis confirmed the main colored components and structural characteristics. It was found that the extracts of this vegetable dye have excellent thermal stability as well as stability in neutral and acid conditions. With the objective of achieving the greatest absorbency rate of extracted solution, the following optimum extraction conditions were obtained: 100% ethanol, an extraction temperature of 70°C, an extraction time of 60 min, and a material-to-liquor ratio of 1:10. To attain the highest dyeing uptake rate and K/S values, the optimum dyeing profiles with meta-mordanting for silk fabrics were found to be 95°C, 90 min, pH 5.5, and a liquid ratio of 1:60. The optimum dyeing profiles with meta-mordanting for cotton fabrics were 95°C, 90 min, and a liquid ratio of 1:60. Nearly all colorfastness results for silk and cotton fabrics met the basic requirement of the China National Standard, except a few.
{"title":"Extraction and Application of Pumpkin Peel Colorants for Natural Textile Dyeing","authors":"J. Che, Xinghua Teng, Junling Ji","doi":"10.1177/24723444221147980","DOIUrl":"https://doi.org/10.1177/24723444221147980","url":null,"abstract":"This preliminary research discusses the extraction of colorants from pumpkin peel as vegetable dyes and the potential dyeing capability of silk and cotton fabrics. For pumpkin extracts, thermal gravity analysis has verified the range of temperature for application, while a combination of UV–vis spectra and high-performance liquid chromatography analysis confirmed the main colored components and structural characteristics. It was found that the extracts of this vegetable dye have excellent thermal stability as well as stability in neutral and acid conditions. With the objective of achieving the greatest absorbency rate of extracted solution, the following optimum extraction conditions were obtained: 100% ethanol, an extraction temperature of 70°C, an extraction time of 60 min, and a material-to-liquor ratio of 1:10. To attain the highest dyeing uptake rate and K/S values, the optimum dyeing profiles with meta-mordanting for silk fabrics were found to be 95°C, 90 min, pH 5.5, and a liquid ratio of 1:60. The optimum dyeing profiles with meta-mordanting for cotton fabrics were 95°C, 90 min, and a liquid ratio of 1:60. Nearly all colorfastness results for silk and cotton fabrics met the basic requirement of the China National Standard, except a few.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"10 1","pages":"153 - 162"},"PeriodicalIF":0.7,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41736526","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}
Pub Date : 2023-02-03DOI: 10.1177/24723444221147365
Ali Ari, M. Karahan, Hasabo Abdelbagi Mohammed Ahmed, Omsalma Babiker, Ramazan Muhammed Ahmed Dehşet
There has been much effort to provide eco-friendly and biodegradable materials for the next generation of composite products owing to global environmental concerns and increased awareness of renewable green resources. Increased use of natural materials in composites has led to a reduction in greenhouse gas emissions and the carbon footprint of composites. In addition to the benefits obtained from green materials, there are some challenges in working with them, such as poor compatibility between the reinforcing natural fiber and matrix and the relatively high moisture absorption of natural fibers. Green composites can be a suitable alternative for petroleum-based materials. However, before this can be accomplished, a number of issues need to be addressed, including poor interfacial adhesion between the matrix and natural fibers, moisture absorption, poor fire resistance, low impact strength, and less durability. Several researchers have studied the properties of natural fiber composites. These investigations have resulted in developing several procedures for modifying natural fibers and resins. To address the increasing demand to use eco-friendly materials in different applications, an up-to-date review of natural fiber and resin types and sources, modification, and processing techniques, physical and mechanical behaviors, applications, life-cycle assessment, and other properties of green composites is required to provide a better understanding of the behavior of green composites.
{"title":"A Review of Cellulosic Natural Fibers’ Properties and Their Suitability as Reinforcing Materials for Composite Panels and Applications","authors":"Ali Ari, M. Karahan, Hasabo Abdelbagi Mohammed Ahmed, Omsalma Babiker, Ramazan Muhammed Ahmed Dehşet","doi":"10.1177/24723444221147365","DOIUrl":"https://doi.org/10.1177/24723444221147365","url":null,"abstract":"There has been much effort to provide eco-friendly and biodegradable materials for the next generation of composite products owing to global environmental concerns and increased awareness of renewable green resources. Increased use of natural materials in composites has led to a reduction in greenhouse gas emissions and the carbon footprint of composites. In addition to the benefits obtained from green materials, there are some challenges in working with them, such as poor compatibility between the reinforcing natural fiber and matrix and the relatively high moisture absorption of natural fibers. Green composites can be a suitable alternative for petroleum-based materials. However, before this can be accomplished, a number of issues need to be addressed, including poor interfacial adhesion between the matrix and natural fibers, moisture absorption, poor fire resistance, low impact strength, and less durability. Several researchers have studied the properties of natural fiber composites. These investigations have resulted in developing several procedures for modifying natural fibers and resins. To address the increasing demand to use eco-friendly materials in different applications, an up-to-date review of natural fiber and resin types and sources, modification, and processing techniques, physical and mechanical behaviors, applications, life-cycle assessment, and other properties of green composites is required to provide a better understanding of the behavior of green composites.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":"10 1","pages":"163 - 183"},"PeriodicalIF":0.7,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43367549","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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