Industria Textila最新文献_第9页

Research on fabric classification based on graph neural network 基于图神经网络的织物分类研究

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-02-28 DOI: 10.35530/it.074.01.202224

Peng Tao, Cao Wenli, Chen Jia, LV Xinghang, Zhang Zili, Liu Junping, Hu Xinrong

{"title":"Research on fabric classification based on graph neural network","authors":"Peng Tao, Cao Wenli, Chen Jia, LV Xinghang, Zhang Zili, Liu Junping, Hu Xinrong","doi":"10.35530/it.074.01.202224","DOIUrl":"https://doi.org/10.35530/it.074.01.202224","url":null,"abstract":"Fabric classification plays a crucial role in the modern textile industry and fashion market. In the early stage, traditional\u0000neural network methods were adopted to identify fabrics with the drawback of restricted fabric type and poor accuracy.\u0000Combining multi-frame temporality and analysing fabric graph data made from fabric motion features, this paper\u0000proposes a novel hybrid model that introduces the concept of graph networks to classify 30 textile materials in a public\u0000database. We utilize the graph inductive representation learning method (GraphSAGE, Graph Sample and Aggregate)\u0000to extract node embedding features of the fabric. Moreover, bidirectional gated recurrent unit and layer attention\u0000mechanism (BiGRU-attention) are employed in the last layer of aggregation to calculate the score of previous cells.\u0000Intending to further enhance performance, we link the jump connection with adaptive selection aggregation frameworks\u0000to determine the influential region of each node. Our method breaks through the limitation that the original methods can\u0000only classify a few fabrics with great classification results.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49002128","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}

引用次数: 0

Pants design and pattern generation based on body images 基于身体图像的裤子设计和图案生成

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-02-28 DOI: 10.35530/it.074.01.20223

Shouning Jin, B. Gu, Beibei Zhang, YUAN-PING Xia, Huazhou He

{"title":"Pants design and pattern generation based on body images","authors":"Shouning Jin, B. Gu, Beibei Zhang, YUAN-PING Xia, Huazhou He","doi":"10.35530/it.074.01.20223","DOIUrl":"https://doi.org/10.35530/it.074.01.20223","url":null,"abstract":"The personalized pattern generation method based on 2D body-measuring technology has considerable application\u0000potential in clothing e-commerce, remote clothing customization, clothing production, and other aspects. By inputting the\u0000front and side body images, this study proposed a new method of generating personalized patterns automatically. The\u0000silhouettes could be extracted from the body images to estimate body sizes and design style. The basic rules between\u0000the patterns and the body sizes were analysed, and the rules of the general pattern generation were established through\u0000a knowledge-based combination of the basic pattern and the style parameters. The sizes extracted from images were\u0000compared with the manually measured values, and the errors of these sizes were analysed. Sample pants were made\u0000and tried on with the automatic pattern generation system, and the experiments showed that the sample pants have a\u0000good fit at some key landmarks. As a result, this system can automatically generate personalized patterns and style\u0000designs based on 2D human body images, to improve garment fit and accelerate clothing customization.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43451998","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}

引用次数: 0

Protective clothing system for interventions in emergency situations 用于紧急情况干预的防护服系统

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-02-28 DOI: 10.35530/it.074.01.1839

D. Toma, G. Popescu, A. Popescu, S. Olaru, A. Săliștean, I. Badea

{"title":"Protective clothing system for interventions in emergency situations","authors":"D. Toma, G. Popescu, A. Popescu, S. Olaru, A. Săliștean, I. Badea","doi":"10.35530/it.074.01.1839","DOIUrl":"https://doi.org/10.35530/it.074.01.1839","url":null,"abstract":"Emergency workers are exposed to many different risks at the same time and possible consequences for their safety\u0000and health may be manifold. Many emergency workers suffer from accidents and injuries in the course of their jobs, as\u0000well as other negative health effects that lead to severe deterioration of their physical and psychological well-being. The\u0000use of specific personal protective equipment (PPE) according to the given risks is of great importance in preventing\u0000adverse health effects among emergency workers. This research aimed to develop, for emergency workers, a PPE\u0000system, in a modular structure consisting of: i) modular layer 1: the inner layer, in contact with the skin/Underwear PPE,\u0000with the function of sensorial and thermophysiological comfort and which ensures thermal protection; ii) modular layer 2:\u0000the intermediate (basic) layer/Duty uniform – with the function of limited protection to the specific risk factors of an\u0000unpredictable intervention action (thermal risks: convection heat, flame; risks from the external environment: liquid\u0000splashes; mechanical risks: cutting, abrasion, etc); iii) modular layer 3: the outer layer/specialized PPE, with a function\u0000of barrier against specific risk factors for fire intervention missions, extreme weather conditions etc. This modular\u0000approach provides some advantages, including preserving comfort and flexibility until the intervention mission requires\u0000the use of the next level of protection. This helps ensure that emergency responders are not in the position of choosing\u0000between their safety or mission effectiveness.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41493385","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}

引用次数: 0

The restoration of garment heritages based on digital virtual technology:A case of the Chinese pale brown lace-encrusted unlined coat 基于数字虚拟技术的服装文物修复——以中国淡褐色蕾丝无衬里大衣为例

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-02-28 DOI: 10.35530/it.074.01.202252

Han Chen, Han Xu, Yudian Zhang, Weifan Wang, Zhengyang Lu

引用次数: 0

Group consumers' preference recommendation algorithm model for onlineapparel's colour based on Kansei engineering 基于Kansei工程的在线壁纸颜色群体消费者偏好推荐算法模型

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-02-28 DOI: 10.35530/it.074.01.202268

Baoru Ge, N. Shaari, Mohd Yazid Mohd Yunos, S. Abidin

{"title":"Group consumers' preference recommendation algorithm model for online\u0000apparel's colour based on Kansei engineering","authors":"Baoru Ge, N. Shaari, Mohd Yazid Mohd Yunos, S. Abidin","doi":"10.35530/it.074.01.202268","DOIUrl":"https://doi.org/10.35530/it.074.01.202268","url":null,"abstract":"The sales growth rate of men's plain-colour shirts dropped significantly online in China. Consumers first pay attention to\u0000the appearance design of clothing online. It only takes 7 seconds for consumers to determine a product, and the colour\u0000in its appearance design accounts for about 67% of the role. Thus, this study took the colour design of men's plain-colour\u0000shirts as an example in China, established the basic colour calculation scale and an algorithm model of group\u0000consumers' product preferences based on Kansei Engineering and scientific mathematics, to provide new sales ideas\u0000and methods for retailers and markets online. Firstly, this study obtained the crucial Kansei word pairs (emotional\u0000preferences) and colour design elements through interviews, literature, magazines and websites, word frequency\u0000statistics, card sorting and cluster analysis. Then, researchers established a basic colour calculation scale of\u0000cross-loading through Kansei Engineering and partial least squares (PLS). Finally, a recommendation set of products is\u0000obtained using the analytic hierarchy process (AHP), the weight of Kansei word pairs, and the distance calculation of\u0000comprehensive evaluation value based on consumers' emotional needs. That is, this study obtained consumers'\u0000aesthetic emotional preference for men's plain-colour shirts in China, colour design elements of shirts that are widely\u0000recognized and accepted, basic colour calculation scales, recommendation preferences algorithms and models for\u0000group consumers, and verified their effectiveness by PCA.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47125411","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}

引用次数: 2

3D interactive design of wedding dress 婚纱三维互动设计

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-02-28 DOI: 10.35530/it.074.01.2021111

Yanbo Ji, Ying Wang, Kaixuan Liu, Mengyue Hu, Chun Zhu, Zhao Lü, Xiaoning Li

引用次数: 1

The digital transformation of garment product development 服装产品开发的数字化转型

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-02-28 DOI: 10.35530/it.074.01.2022148

Malina Rosca, ANA-DIANA Vatra, M. Avadanei

{"title":"The digital transformation of garment product development","authors":"Malina Rosca, ANA-DIANA Vatra, M. Avadanei","doi":"10.35530/it.074.01.2022148","DOIUrl":"https://doi.org/10.35530/it.074.01.2022148","url":null,"abstract":"Many clothing companies approach digital transformation by focusing on digitizing individual processes or operations.\u0000Digital transformation is often limited to specific initiatives or programmes that only impact a few departments. Significant\u0000opportunities or existential risks are often the main drivers for digital transformation. Moreover, leaders planning the\u0000future of their companies and industries should focus on the opportunity – or existential threat – that these changes\u0000present. It is essential to find the ideal balance between focusing on quick results with innovative ideas and laying the\u0000foundation for digital transformation, such as unleashing the potential of data and analytics, managing brand and\u0000reputational risk, controlling the entire supply chain and closing the digital technology gaps are not the only significant\u0000issues. A complete change in corporate culture that puts the customer at the centre is the key component of the ultimate\u0000digital challenge for clothing companies. This article presents the opportunities, benefits and challenges of developing\u0000garment models with digital tools from Gemini CAD, a Lectra company. These tools include (in addition to the pattern)\u0000the product data sheet, a detailed description of all fabrics, trimmings, and accessories, components needed for\u0000sourcing, purchasing, and determining the cost of the product, as well as the information needed to publish the product\u0000on e-commerce and interact with the customer, including customization.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43091513","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}

引用次数: 0

Research on garment flat multi-component recognition based onMask R -CNN 基于mask R -CNN的服装平面多分量识别研究

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-02-28 DOI: 10.35530/it.074.01.202199

Tao Li, Yexin Lyu, Ling Ma, Younglun Xie, Fengyuan Zou

{"title":"Research on garment flat multi-component recognition based on\u0000Mask R -CNN","authors":"Tao Li, Yexin Lyu, Ling Ma, Younglun Xie, Fengyuan Zou","doi":"10.35530/it.074.01.202199","DOIUrl":"https://doi.org/10.35530/it.074.01.202199","url":null,"abstract":"The automatic recognition of garment flat information has been widely researched through computer vision. However,\u0000the unapparent visual feature and low recognition accuracy pose serious challenges to the application. Herein, inspired\u0000by multi-object instance segmentation, the method of mask region convolutional neural network (Mask R-CNN) for\u0000garment flat multi-component is proposed in this paper. The steps include feature enhancement, attribute annotation,\u0000feature extraction, and bounding box regression and recognition. First, the Laplacian was employed to enhance the\u0000image feature, and the Polygon annotated component attributes to reduce the interaction interference. Next, the ResNet\u0000was applied to realize identity mapping to characterize redundant information of components. Finally, the feature map\u0000was entered into two branches to achieve bounding box regression and recognition. The results demonstrated that the\u0000proposed method could realize multi-component recognition effectively. Compared with the unenhanced feature, the\u0000mAP increased by 2.27%, reaching 97.87%, and the average F1 was 0.958. Compared to VGGNet and MobileNet, the\u0000ResNet backbone used for Mask R-CNN could improve the mAP by 11.55%. Mask R-CNN was more robust than the\u0000state-of-the-art methods and more suitable for garment flat multi-component recognition.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47997312","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}

引用次数: 0

An undamaged pattern generation method from 3D scanned garmentsample based on finite element approach 基于有限元方法的三维扫描服装样本无损图案生成方法

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-02-28 DOI: 10.35530/it.074.01.202185

JIA-ZHEN Chen, ZI-YI Guo, Tao Li, Lei Du, F. Zou

引用次数: 0

Non-contact clothing anthropometry based on two-dimensional imagecontour detection and feature point recognition 基于二维图像轮廓检测和特征点识别的非接触式服装人体测量

IF 1.4 4区工程技术

Industria Textila Pub Date : 2023-02-28 DOI: 10.35530/it.074.01.202279

Yuzhuo Li, Lei Jiang, Xinrong Li, W. Feng

{"title":"Non-contact clothing anthropometry based on two-dimensional image\u0000contour detection and feature point recognition","authors":"Yuzhuo Li, Lei Jiang, Xinrong Li, W. Feng","doi":"10.35530/it.074.01.202279","DOIUrl":"https://doi.org/10.35530/it.074.01.202279","url":null,"abstract":"Developing the technology of estimating human body size from two-dimensional images is the key to realising more\u0000digitalization and artificial intelligence in the textile and garment industry. Therefore, this paper is an in-depth study of\u0000estimating body sizes from two-dimensional images in a self-collected database of human body samples. First, the\u0000artificial thresholds in the Canny edge operator were replaced by adaptive thresholds. The improved Canny edge\u0000operator was combined with mathematical morphology so that it could detect a clear and complete single human\u0000contour. Then a joint point detection algorithm based on a convolution neural network and human proportion is\u0000proposed. It can detect human feature points with different body proportions. Finally, front and side images and manual\u0000body measurements of 122 males aged 18–22 years were collected as the human sample database, calculating the\u0000length and fit of the girth size. Compared with manual body measurement data, the error of human length and girth size\u0000parameters within the national standard range of –1.5 ~ 1.5 cm can reach 91% on average. This study provides an\u0000accurate and convenient anthropometric method for digital garment engineering, which can be used for online shopping\u0000and garment customization, and has a certain practical value.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43806613","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}

引用次数: 0