Autex Research Journal最新文献_第2页

Accuracy prediction of wearable flexible smart gloves 可穿戴柔性智能手套的精度预测

IF 1.1 4区工程技术 Q2 Engineering

Autex Research Journal

Pub Date : 2023-12-13 DOI: 10.1515/aut-2023-0008

Yan Zhang, Hong Xie, Mark J. Lake

Abstract This article aimed at providing a new biomechanical three-dimensional dynamic finite element model of the hand–glove combination for exploring the distribution of the overall continuous dynamic contact pressure of the hand with the flexible glove in the state of grabbing an object, and further predicting the accuracy of sensors of wearable smart gloves. The model was validated by garment pressure experiments at eight muscle points. The results showed that the pressure value measured with three flexible gloves was highly consistent with the finite element simulation value. Based on the model, the distribution of dynamic pressure between the soft tissue of the hand and the fabric in the process of flexing the fingers and grabbing external objects were predicted accurately and effectively, which indicated that the model with high accuracy could be applied to evaluate the accuracy of the pressure value collected by sensors of smart gloves. In addition, the model had been confirmed that it has a certain application value. The findings could help to provide a reference for dynamic continuous monitoring equipment or other intelligent wearable devices, and promote the development of the intelligent clothing industry in the future.

摘要本文旨在提供一种新的手与手套组合的生物力学三维动态有限元模型，以探索在抓取物体的状态下，手与柔性手套整体连续动态接触压力的分布，并进一步预测可穿戴智能手套传感器的精度。该模型通过八个肌肉点的服装压力实验进行了验证。结果表明，三只柔性手套测得的压力值与有限元模拟值高度一致。基于该模型，可以准确有效地预测手指弯曲和抓取外部物体过程中手部软组织与织物之间的动态压力分布，表明该模型具有较高的准确性，可用于评估智能手套传感器采集压力值的准确性。此外，该模型还被证实具有一定的应用价值。该研究结果有助于为动态连续监测设备或其他智能可穿戴设备提供参考，促进未来智能服装行业的发展。

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引用次数: 0

Research on She nationality clothing recognition based on color feature fusion with PSO-SVM 基于 PSO-SVM 的颜色特征融合的 She 国籍服装识别研究

IF 1.1 4区工程技术 Q2 Engineering

Autex Research Journal

Pub Date : 2023-12-13 DOI: 10.1515/aut-2023-0005

Xiaojun Ding, Tao Li, Jingyu Chen, Fengyuan Zou

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.

摘要虽然畲族服饰的色彩特征略有不同，但在形状和质地上却有多处相似之处。因此，很难有效区分畲族服饰的不同分支。针对这一问题，本文在考虑色彩特征融合的基础上，提出了一种基于粒子群优化和支持向量机（PSO-SVM）混合算法的识别方法。首先，从畲族服饰的五个分支中提取颜色直方图和颜色矩（CM）特征描述符，得到每个分支的颜色特征分布。然后，通过主成分的优化和降维进行颜色特征融合。此外，还引入了 PSO 来独立优化参数组合。最后，自动识别出了畲族服饰的不同分支。结果表明，所提出的方法能有效区分畲族服饰的不同分支。与使用单色直方图和 CM 特征的方法相比，我们提出的方法的识别准确率分别提高了 5.25% 和 6.44%。当 SVM 的惩罚参数 γ gamma 和核参数 δ 2 {delta }^{2} 分别为 123.29 和 1.16 时，模型的识别准确率最高，达到 98.67%。该方法可为畲族服装的细分识别提供参考。

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引用次数: 0

Technology integration to promote circular economy transformation of the garment industry: a systematic literature review 促进服装业循环经济转型的技术整合：系统文献综述

IF 1.1 4区工程技术 Q2 Engineering

Autex Research Journal

Pub Date : 2023-12-09 DOI: 10.1515/aut-2023-0006

Wang Yiyan, Norsaadah Zakaria

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.

在2019冠状病毒病(COVID-19)大流行时代，服装行业面临的不可持续问题和数字化趋势促使了这项研究。新冠肺炎疫情严重影响了全球贸易，由于禁运和国际限制，导致服装行业严重停滞。因此，停滞导致大量库存积压，阻碍了产品分销，这迫使服装公司转向网上商务。循环经济(CE)试图停止商品流动并将废物转化为资源;因此，它可以缓解在线性经济下产生的大量服装工业污染和浪费，最大限度地提高产品的生命周期。工业革命4.0融合了技术创新和信息技术对服装产业的改造，从技术上提升了制造智能化，激发了服装产业向CE的转型。本文通过系统的文献综述，探讨了我国服装产业转型的必要性，以及促进服装产业可持续发展的技术优势和挑战。研究结果表明，将服装产业转型为环保产业不仅可以解决其环境污染和供应过剩问题，还可以适应新的供需要求，如市场数字化、消费者个性化和产业链透明度。最后，提出了技术整合倡议，通过产品开发的数字化，推动服装产业向CE转型，实现可持续发展。

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引用次数: 0

Adherence to dermatologic treatment: A retrospective cross-sectional study on geriatric patients. 坚持皮肤病治疗：一项针对老年患者的回顾性横断面研究。

IF 1 4区工程技术 Q3 MATERIALS SCIENCE, TEXTILES

Autex Research Journal

Pub Date : 2023-11-22 eCollection Date: 2023-01-01 DOI: 10.14744/nci.2022.20788

Sila Kilic Sayar, Gizem Pinar Sun

Objective: With the prolongation of the average life expectancy worldwide, diseases including dermatological disorders of the elderly are gaining importance. The presence of comorbidities in this age group may affect the treatment strategies; compliance with follow-up and adherence to medication can be poor. The aim of this study is to evaluate the dermatological disorders of patients aged 65 and over and determine their adherence to dermatologic treatment.

Methods: A retrospective and cross-sectional study was conducted on patients aged 65 and over applied to a single tertiary dermatology clinic between April 2021 and April 2022. Diagnoses were that clinical and diagnostic tests were performed when only necessary.

Results: A total of 207 admissions to the dermatology clinic by 135 patients were evaluated. Eczema (23.05%) and infections (25.2%) were the most common dermatological diagnoses. The percentage of patients with precancerous and cancerous lesions was 11.9%. Among 123 patients who need at least a follow-up visit, only 37 patients (30.1%) applied for follow-up as advised, and medicines were taken regularly by 23 of these patients (62.2%). Compliance with follow-up was lower among men (OR 0.365, 95% CI 0.160-0.834, and p=0.02) and patients who were treated only with local therapy agents (OR 0.345, 95% CI 0.138-0.863, and p=0.20).

Conclusion: Eczema and infections were the most common dermatological diagnoses among geriatric patients in the present study. The majority of geriatric patients with skin conditions were not applying for follow-up visits. Women and patients treated with systemic therapy agents were more compliant. The prevalence of basal cell carcinoma was not low, and this emphasizes the importance of a careful dermatological examination regardless of primary complaint in this age group.

目的：随着全球人口平均寿命的延长，包括皮肤病在内的老年疾病日益受到重视。这一年龄组的患者存在合并症，可能会影响治疗策略；对随访的依从性和药物治疗的依从性可能较差。本研究旨在评估 65 岁及以上患者的皮肤病情况，并确定他们对皮肤病治疗的依从性：方法：对 2021 年 4 月至 2022 年 4 月期间在一家三级皮肤病诊所就诊的 65 岁及以上患者进行回顾性横断面研究。诊断为临床诊断，必要时进行诊断测试：共评估了 135 名患者在皮肤科诊所的 207 次就诊。湿疹（23.05%）和感染（25.2%）是最常见的皮肤病诊断。癌前病变和癌症患者占 11.9%。在 123 名至少需要复诊的患者中，只有 37 人（30.1%）按照建议申请复诊，其中 23 人（62.2%）定期服药。男性（OR 0.365，95% CI 0.160-0.834，P=0.02）和仅接受局部治疗的患者（OR 0.345，95% CI 0.138-0.863，P=0.20）的复诊依从性较低：在本研究中，湿疹和感染是老年患者最常见的皮肤病诊断。大多数患有皮肤病的老年患者没有申请复诊。女性和接受系统治疗的患者更遵从医嘱。基底细胞癌的发病率并不低，这强调了无论主诉是什么，对这一年龄组的患者进行仔细的皮肤病检查的重要性。

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引用次数: 0

Tie-dyeing pattern fast-generation method based on deep-learning and digital-image-processing technology 基于深度学习和数字图像处理技术的扎染图案快速生成方法

IF 1.1 4区工程技术 Q2 Engineering

Autex Research Journal

Pub Date : 2023-03-01 DOI: 10.2478/aut-2022-0034

Suqiong Liu, Xiao-Shuang Xing, Shan-shan Wang, Jinxiong Zhou

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.

偶然性和独特性被认为是典型的艺术特征。为了实现每个扎染图案作品的逼真效果，我们提出了一种基于辅助分类器深度卷积生成对抗网络(AC-DCGAN)和图像处理技术的数字扎染图案快速生成算法。为了应用该算法，设计师首先绘制扎染图案的平面布局图。该图由白色背景和多色圆组成，使用区域连通算法提取图中所有圆的位置信息和模式类别信息。然后对ac - dcgan生成的背景图像进行颜色校正，完成拼接和构造。ac - dcgan生成的扎染图案图像也进行了色彩校正，然后分割并复制到圆形区域。平均过滤产生最终的数字扎染图案。结果显示，生成的图案无明显色差，拼接边缘过渡均匀，独特的图案呈现扎染特征，艺术效果逼真。

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引用次数: 0

Single-sided Jacquard knit fabric development and seamless ski underwear zoning design based on body mapping sportswear 基于体图运动服装的单面提花针织面料开发及无缝滑雪内衣分区设计

IF 1.1 4区工程技术 Q2 Engineering

Autex Research Journal

Pub Date : 2022-12-28 DOI: 10.2478/aut-2022-0033

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.

摘要为满足专业滑雪者对滑雪内衣的保暖性、透气性、吸湿性、排汗性、拉伸弹性等功能要求，设计了6种单面提花针织物结构，并以涤纶和DRYARN为原料进行针织。然后，通过单向方差分析和基于熵的灰色关联分析，获得12种面料并进行综合排序。根据面料性能和人体皮肤表面的汗液分布，对专业滑雪内衣进行分区设计，并在“牛顿”排汗人体模型系统上进行穿着实验和评价。分析结果表明，采用DRYARN®材料的织物具有较好的透气性和透湿性。热阻、Clo值和渗透率在综合评价中起重要作用。穿着实验结果表明，基于人体测绘运动服编织的无缝专业滑雪内衣具有优越的功能和合理的设计，可为专业无缝滑雪内衣的设计提供技术支持。

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引用次数: 0

Wearable design for occupational safety of Pb2+ water pollution monitoring based on fluorescent CDs 基于荧光cd的Pb2+水污染监测职业安全可穿戴设计

IF 1.1 4区工程技术 Q2 Engineering

Autex Research Journal

Pub Date : 2022-12-23 DOI: 10.2478/aut-2022-0029

Han Chen, Han Xu, Yudian Zhang, Shi-you Gu, Dandan Wang

Abstract The indiscriminate discharge of industrial and domestic wastewater leads to the pollution of production, living, and landscape waters with heavy metals, including Pb2+. To protect people working in environments with risk of water pollution by Pb2+, the Pb2+ chemosensor based on fluorescent carbon dots (CDs) was designed in this study. Based on quenching of the fluorescence of CDs via electron or energy transfer between Pb2+ and CDs, the sensor induces a significant “dark blue to light blue” fluorescence burst color change under the naked eye. Results suggest that the fluorescence intensity of CDs positively correlated with the concentrations of Pb2+ (R2 = 0.823–0.986), which is conducive to the detection of Pb2+-containing wastewater by CDs. On this basis, we integrated CD fluorescent sensors into wearable gloves via a mediated coating method. With no additional burden (off-site, long lead times, high cost, etc.), the designed wearable gloves enable front loading of the detection window for Pb2+-contaminated water to protect the wearer from poisoning. Eight watershed environmental occupants reported a 57.42% reduction in occupational anxiety after using our safety gloves. We believe that the proposed flexible and stable wearable sensing system will not only have great potential applications in Pb2+ field detection but also stimulate the development of other environmental pollution sensing devices.

摘要工业废水和生活废水的随意排放导致生产、生活和景观水体受到重金属污染，其中包括Pb2+。为了保护工作在Pb2+水污染危险环境中的人们，设计了基于荧光碳点(CDs)的Pb2+化学传感器。该传感器通过Pb2+与CDs之间的电子或能量转移使CDs的荧光猝灭，在肉眼下诱导出明显的“深蓝色到浅蓝色”荧光爆发颜色变化。结果表明，CDs的荧光强度与Pb2+浓度呈正相关(R2 = 0.823-0.986)，有利于CDs对含Pb2+废水的检测。在此基础上，我们通过介导涂层方法将CD荧光传感器集成到可穿戴手套中。设计的可穿戴手套没有额外的负担(异地，交货时间长，成本高等)，可以在Pb2+污染水的检测窗口前加载，以保护佩戴者免受中毒。8名流域环境居住者报告说，使用我们的安全手套后，职业焦虑减少了57.42%。我们相信，所提出的灵活稳定的可穿戴传感系统不仅在Pb2+现场检测方面具有巨大的应用潜力，而且还将促进其他环境污染传感设备的发展。

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引用次数: 0

Non-planar 3D printed elements on textile substrate using a fused filament fabrication 3D printer 使用熔丝制造3D打印机在纺织品基材上非平面3D打印元件

IF 1.1 4区工程技术 Q2 Engineering

Autex Research Journal

Pub Date : 2022-12-23 DOI: 10.2478/aut-2022-0026

Dominik Muenks, Luca Eckelmann, Y. Kyosev

Abstract Adhesion between additively printed elements on textiles is one of the most important quality characteristics. Applied elements must form very good adhesion with the textile substrate in order to produce functional textiles. The request for non-planar printing directly on textiles is growing, especially in the fields of orthopaedic engineering and protective clothing. This new printing technique can open up new areas of application. For such a production of non-planar elements on textiles, new test methods have to be developed, as the current adhesion tests (180° peel test) are not applicable to non-planar prints on textiles. For non-planar additive printing on textiles, a cylindrical print bed for a fused filament fabrication printer was developed and modified accordingly in the first step. In the next step, a new measurement method was developed to investigate the adhesion between the textile and the non-planar three-dimensional-printed element. The study shows the challenges and the adhesion differences of non-planar printed objects on pre-stretched textiles on a cylindrical print bed. Several factors influencing adhesion were identified. The alignment of the printing nozzle to the textile substrate is the key factor influencing adhesion. The alignment also has a significant influence on the visual print quality.

摘要纺织品增印元件之间的附着力是纺织品最重要的质量特征之一。为了生产功能性纺织品，所使用的元素必须与纺织基材形成很好的附着力。直接在纺织品上进行非平面印刷的需求日益增长，特别是在骨科工程和防护服领域。这种新的印刷技术可以开辟新的应用领域。对于这种纺织品上的非平面元件的生产，必须开发新的测试方法，因为目前的附着力测试(180°剥离测试)不适用于纺织品上的非平面印花。针对纺织品的非平面增材打印，研制了一种用于熔丝制造打印机的圆柱形打印床，并对其进行了相应的改进。接下来，研究人员开发了一种新的测量方法来研究织物与非平面三维打印元件之间的粘附性。研究了非平面印刷品在圆柱形印刷床上预拉伸织物上的粘附性差异和面临的挑战。确定了影响粘附的几个因素。印花喷嘴与织物承印物的对中是影响附着力的关键因素。排线对视觉印刷质量也有重要影响。

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引用次数: 1

Automatic recognition of density and weave pattern of yarn-dyed fabric 色织物密度和组织模式的自动识别

IF 1.1 4区工程技术 Q2 Engineering

Autex Research Journal

Pub Date : 2022-12-22 DOI: 10.2478/aut-2022-0025

Jun Xiang, R. Pan

Abstract Under the production mode of small-batch and multi-item, the recognition of yarn-dyed fabric patterns is a crucial task in the textile industry. In this article, an automatic recognition system based on pixel-level features is proposed to recognize the density, the weave pattern, and the color pattern. In this system, the fabric images are captured by a scanner. First, a method based on the Hough transform is used to correct the skew of the yarns, including warp and weft. Second, the yarns and nodes are located in the enhanced images with a brightness-projection method. The density can be calculated by using the results. Then, the type of each node is identified based on the boundary information. We can obtain the weave pattern after knowing the type of each node. Finally, the fuzzy C-means algorithm is used to determine the color of each node, and thus we obtain the color pattern of the yarn-dyed fabric. Experimental results demonstrate that the proposed recognition system is effective for detecting the structural parameters of yarn-dyed fabric.

摘要在小批量、多品种的生产模式下，色织织物图案识别是纺织工业的一项关键任务。本文提出了一种基于像素级特征的织物密度、织型和色型自动识别系统。在该系统中，织物图像由扫描仪捕获。首先，提出了一种基于霍夫变换的纱线歪斜校正方法，包括经纱和纬纱。其次，利用亮度投影法在增强图像中定位纱线和节点;利用计算结果可以计算密度。然后，根据边界信息识别每个节点的类型。在知道每个节点的类型后，就可以得到织型。最后，利用模糊c均值算法确定每个节点的颜色，从而得到色织织物的颜色图案。实验结果表明，该识别系统对色织织物的结构参数检测是有效的。

引用次数: 1

A review of textiles reflecting FIR produced by the human body 反映人体产生的FIR的纺织品综述

IF 1.1 4区工程技术 Q2 Engineering

Autex Research Journal

Pub Date : 2022-12-15 DOI: 10.2478/aut-2022-0035

J. Militký, D. Křemenáková, M. Venkataraman, J. Večerník, L. Martinková, Jan Marek, J. Procházka

Abstract The human body constantly produces thermal electromagnetic radiation with a maximum of about 10 µm. This thermal radiation has a number of positive effects on the human body and, in addition, allows the insulation under clothing to be improved under extreme climatic conditions, causing a significant reduction in ambient temperature. With so-called far-infrared (FIR) textiles, it is possible to ensure the reflection of thermal radiation back to the human body. In the first part of this review, the generation of heat by the human body and its propagation by radiation through the skin are comprehensively explained. The thermal characteristics of the individual skin layers as an emitter of infrared radiation are given. The second part discusses the basic preparation methods of FIR textiles. Suitable particle systems are described based on metals and their oxides, porous carbon, and special ceramics. Modification of the fiber phase (especially the fineness of the fibers and the porosity of the fabric) in combination with the surface coating of metals is also used for their health-promoting effects. The main manufacturers of FIR textiles and their typical products are mentioned.

人体不断产生热电磁辐射，最大辐射强度约为10µm。这种热辐射对人体有许多积极的影响，此外，在极端气候条件下，可以改善衣服的绝缘性，从而显著降低环境温度。有了所谓的远红外(FIR)纺织品，就有可能保证热辐射反射回人体。在本文的第一部分中，全面阐述了人体产生热量及其通过皮肤辐射传播的原理。给出了单个皮肤层作为红外辐射发射器的热特性。第二部分论述了FIR纺织品的基本制备方法。描述了基于金属及其氧化物、多孔碳和特殊陶瓷的合适颗粒体系。纤维相的改性(特别是纤维的细度和织物的孔隙度)与金属表面涂层相结合也被用于促进健康的效果。介绍了FIR纺织品的主要生产厂家及其典型产品。

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引用次数: 0