Search

Art teacher Patricia Dufford has produced a variety of wearable art. Dufford's work in textile printing and clothing construction suggests an exciting range of activities for elementary and secondary art classes. (AM)

With the rise of big data technology and the continuous optimization of deep learning algorithms, generative intelligence is reshaping various industries at an unprecedented speed, expanding the scale and possibilities of design, and showing its potential in innovative applications. This paper aims to explore the relationship between big data and generative intelligence, analyze the status quo of technology development and its application in vertical fields, and deduce the transformation of design process based on this. Using the method of combining literature research and case analysis, this paper firstly analyzes the development and application status of big data and generative intelligence technology. Secondly, Midjourney is taken as an example to summarize the fashion design mode in the era of data and intelligence for different application scenarios. Al can assist designers to quickly generate diverse design solutions, and promote the transformation of design from human-led to human- machine collaboration. Midjourney can quickly realize clothing pattern design, clothing effect drawing generation, virtual model image design and create clothing display space. Based on the double diamond design model, the four-diamond diagram of the design process in the intelligent age is proposed. The process combines the application of data-driven prediction and intelligent technology to verify the reconstruction of design thinking, the reform of design methods and the transformation of design research perspective in the intelligent age. The process integrates the cycle of data insight, intelligent generation, design verification and feedback optimization, showing the systematic upgrade path of the design process in the intelligent era. Under the integration of super-disciplines, big data provides massive information for design science to accurately grasp the design trend, and generative intelligence provides a new perspective for design science with its learning and innovation ability, extends the design boundary, and becomes a bridge connecting humanities, society, nature and other fields. For designers, from hand-drawing to computer drawing, and with the help of machine learning to accelerate creative output, Al technology has simplified the design process and greatly improved design efficiency and diversity, but it still needs to be manually screened and adjusted to ensure practicality. It is foreseeable that with the penetration of big data artificial intelligence in the field of design art, new art forms and design expressions will be produced, but the emergence of artificial intelligence and big data will not completely replace traditional design forms. With the development of artificial intelligence, new design forms will continue to be coupled to meet new social factors, concepts and needs. [ABSTRACT FROM AUTHOR]

In Older to increase the creativity clothing product design, the combination of traditional Chinese aesthetics and philosophy of green landscape color matching has been applied to modern clothing design. Based on the improved K-means algorithm, this paper extracted the color features of A Thousand Li of Rivers and Mountains by Wang Ximeng, a court painter of Song dynasty. At the same time, according to the color network model and HSV mapping model, the color feature analysis and collocation design were completed. The optimal color scheme was obtained by fuzzy comprehensive evaluation method, and CL03D was used for virtual simulation and demonstration of clothing. The results show that when the value determined by the clustering number of gray histogram and the clustering of Mahalanobis distance is 8, it can represent the color characteristics of the painting, and has a good design application effect. In this way, the intelligent extraction of colors in traditional painting can be realized, and traditional painting can be empowered the innovative application of color painting in fashion design. [ABSTRACT FROM AUTHOR]

Sea water and cliff pattern originated in the Ming dynasty, and continued as a stylized decorative style on the Qing dynasty dragon robe. The products with sea water add cliff pattern as the creation theme have attracted wide attention in the modern design market. In order to promote traditional Chinese patterns to better integrate into the development trend for modern clothing and stimulate the vitality of traditional patterns, the seawater cliff patterns in Qing dynasty dragon robes were taken as the research object. The historical background and cultural implications of the patterns were first briefly described in this paper, and then the changes in shape, quantity and location of the patterns of standing water, plain water, auspicious clouds and mountain cliff patterns were studied. The modeling characteristics of sea water and cliff patterns in the early, middle and late Qing dynasty were analyzed, and the color combination rules of each period was summarized. Finally, the extraction of relevant elements of pattern and the induction and innovation of color matching was adopted to carry out the innovative application design of sea water and cliff patterns in modern clothing. The results show that the sea water and cliff pattern is mainly composed of mountain cliff pattern and sea water pattern, which symbolizes the ruler's desire for power and the vision of unifying the world. Its area in the dragon robes gradually expands with the change of times, and the color purity and brightness gradually improve. Through the study of this pattern in design thinking, the sea water and cliff pattern is applied to women's clothing, with the pattern modeling as the silhouette element of clothing and the traditional blue and white tone as the core color, the design effect of modern women's clothing is constructed, and the sea water and cliff pattern of the Qing dynasty is endowed with new vitality, so as to achieve the goal of better inheritance and development of traditional Chinese patterns. [ABSTRACT FROM AUTHOR]

The properties of materials with a phase transition and their strengths and weaknesses have been considered in the paper, and the classification of materials with a phase transition according to the chemical composition of the core and shell of microcapsules according to the melting point has been analyzed. A classification of textiles has been presented depending on the input data, and the general characteristics of "smart" materials have been studied. Analysis of the methods for producing "smart" textiles and methods for studying the properties of textile materials with a phase transition have been carried out. [ABSTRACT FROM AUTHOR]

High requirements for specialists, specifically in the field of Design, who can quickly respond to modern socio-economic conditions and work effectively in a market economy necessitate a substantial upgrade of the professional education system for training costume designers. This study aimed to substantiate and implement the methodology for developing professional competencies of future costume designers in higher education institutions in Kazakhstan. The methodological approach of this experimental study was based on the development of a methodology for developing the professional competencies of the future costume designer and readiness components: motivational, cognitive-activity, creative, and reflective. The content of the basic terms “professional competence” and “designer’s professional competence” was determined; their signs and features were covered, and and a methodology for developing professional competencies of the future costume designer in the design system was developed and implemented. In the conducted experimental study at the ascertaining stage of the experiment at Makhambet Utemisov West Kazakhstan University, methodological tools were developed to increase the readiness of the future costume designer to develop professional competencies in the design system. After conducting an experimental study, promising areas for improving the methodology for the readiness of a future costume designer to develop professional competencies in the design system in higher educational institutions of Kazakhstan were formed. The practical value of the study lies in training a specialist who can implement scientific ideas and developments in the field of fashion design in Kazakhstan.

Copyright of Arab International Journal of Digital Art & Designs is the property of Arab Institution of Knowledge Management and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In Older to inherit and cany forward the traditional chinese Han dynasty brocade patterns, the traditional patterns we® integrated into modern clothing design with diversified and innovative designs with regeneration thinking of shapes, meaning and color" . The Han Dynasty brocade "Five Stars Out of the Effect to Benefit China" pattern was taken as the research object, and literature research and iconography metlrods were first used to analyz the pattern, color and cultural connotation of the " Five Star" brocade. Secondly, the regenerative thinking of " shape, meaning and color" was used to analyze layer by layer, and the transfer of " shape", the communication of "meaning" and the integration of " color" into the innovative design of traditional patterns were realized. Finally, innovative recycled patterns were applied to apparel products. The results show that the interdisciplinary research of aesthetics, design, color science, design thinking and other disciplines can provide a multidisciplinary research exploration experience for the innovative application and dissemination of traditional Chinese patterns in modern clothing design. [ABSTRACT FROM AUTHOR]

Copyright of Journal of the Japan Research Association for Textile End-Uses / Sen'i Seihin Shohi Kagaku is the property of Japan Research Association for Textile End-Uses / Sen'i Seihin Shohi Kagaku and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

High requirements for specialists, specifically in the field of Design, who can quickly respond to modern socio-economic conditions and work effectively in a market economy necessitate a substantial upgrade of the professional education system for training costume designers. This study aimed to substantiate and implement the methodology for developing professional competencies of future costume designers in higher education institutions in Kazakhstan. The methodological approach of this experimental study was based on the development of a methodology for developing the professional competencies of the future costume designer and readiness components: motivational, cognitive-activity, creative, and reflective. The content of the basic terms "professional competence" and "designer's professional competence" was determined; their signs and features were covered, and and a methodology for developing professional competencies of the future costume designer in the design system was developed and implemented. In the conducted experimental study at the ascertaining stage of the experiment at Makhambet Utemisov West Kazakhstan University, methodological tools were developed to increase the readiness of the future costume designer to develop professional competencies in the design system. After conducting an experimental study, promising areas for improving the methodology for the readiness of a future costume designer to develop professional competencies in the design system in higher educational institutions of Kazakhstan were formed. The practical value of the study lies in training a specialist who can implement scientific ideas and developments in the field of fashion design in Kazakhstan. [ABSTRACT FROM AUTHOR]

To establish a distinct design approach for ecological protection outdoor workwear in the Qinghai-Tibet Plateau region, the environmental characteristics and job requirements of ecological protection work in the region, as well as the performance needs of the workwear was analyzed. Subsequently, existing design issues and optimization demands were identified through expert interviews. Furthermore, a questionnaire survey and Analytic Hierarchy Process (AHP) are employed to prioritize the functional design elements of outdoor workwear, considering various design requirements and resolving conflicts between functionality and comfort. The design elements and garment categories were then divided, and design proposals were presented as references. This paper provides practical insights and design references for designers in developing specific high-altitude ecological outdoor workwear to meet special working conditions and requirements. It also offers a method for optimizing the functional design elements of outdoor workwear. [ABSTRACT FROM AUTHOR]

Copyright of Journal of the Japan Research Association for Textile End-Uses / Sen'i Seihin Shohi Kagaku is the property of Japan Research Association for Textile End-Uses / Sen'i Seihin Shohi Kagaku and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Advanced Textile Technology is the property of Zhejiang Sci-Tech University Magazines and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The paper examines the range of "smart" clothing and "smart" materials and analyzes the functional component of "smart" products, on the basis of which it is proposed to classify these products according to the criteria "passive-smart" products, "active-smart informing" products, "active-smart responsive" products, and "intelligent" products. For each variant, existing solutions have been considered. [ABSTRACT FROM AUTHOR]

Copyright of Advanced Textile Technology is the property of Zhejiang Sci-Tech University Magazines and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Wool Textile Journal is the property of National Wool Textile Science & Technology Information Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Nowadays, with the change in society and the increase in consumption, people have progressed towards living a more comfortable and aesthetic life. With the rise of fashion to higher levels, new product design experiments have been made in society by producing different materials and experimental fabrics. With experimental design, new approaches and interpretations to fashion have come. Design is a creation process that is formed by observing, combining many emotions and thoughts such as visual perception, feeling, thinking, criticism, evaluation and creation ability, and visually brings the relationship of integrity of space and objects into a form. Fashion is an important unit that contributes to the progress and development of the clothing industry, which uses design science, art and technology together. This study was conducted as an experimental study on the effect left on a person after a natural disaster. A clothing design was created based on the effect of ruined buildings after the earthquake that occurred on February 6, 2023 and affected 10 provinces. The impact of this devastation on human psychology was investigated and a texture representing heart pain and the burdens on the shoulders was created. The created design was interpreted with the theme of "Viran" and plaster bandage, linen textured fabric, fiber and beads were used. An experimental product and its story were created with these materials. The evaluation phase of the prepared design and the suitability of the materials used were interpreted. Finally, images of the product and production stages are explained. [ABSTRACT FROM AUTHOR]

With the progression of age, the risk of falls in the elderly population escalates. Hip fractures are perceived as one of the most severe consequences of such falls and are often described as "the last fracture in one's life," with mortality rates reaching 20%−30% and accompanied by a significant rate of disability. To address this pressing issue, our study conducted an in-depth analysis of the mechanical properties of Artificial Cartilage Foam (ACF) and Carbon Fiber Reinforced Polymer (CFRP). Based on this research, we devised a laminated structure where ACF acts as the outer layer, with CFRP positioned centrally, capitalizing on the material's intrinsic shock-absorbing attributes. Building on this structure, based on this structure, a specialized protective clothing design tailored for the elderly to counteract age-related balance impairments is proposed. Furthermore, we undertook experiments to gage user anxiety levels and assess the wearability comfort of the attire. Our findings indicate that this protective garment can effectively absorb the impact energy generated during falls, significantly reducing the risk of injury in the elderly. Additionally, its ergonomic design helps alleviate the psychological distress elderly individuals may experience due to the fear of falling. This research presents an innovative and effective strategy for enhancing fall protection in the elderly demographic. [ABSTRACT FROM AUTHOR]

At present, with the strengthening of China’s economic and cultural strength, “Chinese culture” is widely sought after. Therefore, incorporating cultural elements into clothing design can promote the spread of Chinese clothing culture. This paper proposes a classical network model based on the Internet’s background. A modal communication model of the culturalization process is built on this basis to combine the Internet and the network model. The survey and analysis of the effects of clothing culture on comfort and aesthetics of clothing design are being conducted. Consumers have a positive and active attitude towards clothing culture, with 3625 out of 7563 sample comments supporting the communication of clothing culture in the communication effect. The comfort of clothing is a top priority for 139 people when it comes to clothing design. Therefore, the aspect of comfort should be emphasized in clothing design, and the dissemination of clothing culture should be strengthened at the same time.

This paper takes the integration development path of artificial intelligence technology and clothing design as the entry point, analyzes the influence of arts and crafts culture on clothing design, and gives the correlation between artificial intelligence, clothing design and arts and crafts culture. In order to make the style and color of clothing design more diversified, Fuzzy C-means is used to extract the color of the elements of arts and crafts culture, and adaptive optimization is used to compensate for the chromaticity of the color through artificial intelligence technology. A texture generation network is constructed based on the generative adversarial network to obtain the shape and texture style of the images of arts and crafts cultural elements in apparel design. To verify the effectiveness of the above method in spreading apparel design and arts and crafts culture, experimental validation analysis was conducted. The results show that the Fuzzy C-means algorithm improves PSNR by an average of 1.094 dB and SSIM by between 1.1% and 2.5% compared with the SVD-Means feature color extraction algorithm. The error before and after the adaptive optimization color compensation of artificial intelligence technology is only about 0.2%, and the MSE value of the texture generation network is between [1.5*10-3,3*10-3], and the error of its image generation quality is not more than 1‰. Based on artificial intelligence technology, it can fully obtain the elemental patterns and colors of arts and crafts culture and then innovate the style and shape of clothing design, which can also promote the dissemination and development of arts and crafts culture.

With the increasing demand for personalized fashion, the conventional approach to clothing design struggles to keep up with market expectations. This study explores how artificial intelligence can enhance clothing design, resulting in the creation of a digital customization process that is in step with the evolving trajectory of innovative fashion design. This study integrates the Deeplabv3+ model with a cross-cutting attention mechanism to develop a novel image segmentation network tailored for clothing design, aiming to expand the diversity of design forms. Additionally, the WGAN-GP model is introduced for adaptive optimization of clothing color design, ensuring that the designs align with user preferences. To verify the efficacy of these AI technologies in apparel design, separate simulation verifications for design segmentation and color optimization were conducted. The results show that the Deeplabv3+ network achieved a 6.97% improvement in Mean Intersection over Union (MioU) on the validation dataset, outperforming the OCRNet average by 2.28 percentage points. Moreover, the color optimization with the WGAN-GP model reached a 98.76% color match with the actual garment. Using artificial intelligence technology in apparel design can innovate the design process and provide an adequate technical guarantee to meet the personalized apparel needs of users.

As traditional hand knitting is limited, it can only make simple three-dimensional stacking and flat knitting texture of the garment. This paper applies 3D printing technology to improve this drawback. Establishing research variables for clothing design by combining the geometric characteristics of the STL model after layering with the characteristics of 3D printing technology to construct an optimization model for 3D printing technology. The contradiction between molding quality and molding efficiency is a typical multi-factor and multi-objective optimization problem. To solve this kind of optimization problem, a genetic algorithm is used to search for the optimal solution of the objective function in the feasible domain space, aiming to optimize the parameters of 3D printing technology. An in-depth analysis of the application practice of 3D printing technology in apparel design is presented, which further points out the implementation architecture of apparel design incorporating 3D printing technology, and the performance test of apparel incorporating 3D printing technology is carried out. The data show that the average values of ST (thickness difference), B1 (warp bending stiffness), B2 (weft bending stiffness), E51 (warp elongation), and E52 (weft elongation) are 8.386mm, 5.22 μNm, 0.16 μNm, 0.421%, 0.252%, which indicates that the garments designed based on 3D printing technology have good tensile properties and hand feel appearance, and are more in line with the comfort and aesthetic demands of consumers for garment design. It shows that the garments designed using 3D printing technology have good stretchability and a hand-feel appearance, which is more in line with the comfort and aesthetic demands of consumers nowadays.

Under the rich cultural background, clothing design should effectively integrate traditional culture to provide people with better quality clothing products and meet the demands of the development of clothing culture. This paper analyzes the classification and application value of traditional elements and explores the expression strategies and application steps of conventional elements in clothing design. Then, we use the VGG network as the basis and combine the semantic extraction network and style migration network to extract the styling features of traditional elements, introduce the OTSU algorithm to extract the pattern features of traditional cultural elements, and combine the improved K-Means clustering algorithm to extract the main color of conventional elements. The practice of clothing design was conducted using the Republican style as a source of inspiration, and the effectiveness of the mentioned methods and the application of clothing design were evaluated and analyzed. It was found that the color purity extracted by the improved K-Means clustering algorithm was about 2.5 times higher than the result of the octree method, and the testers’ ratings of the pattern and novelty of the clothing design reached 3.81 and 4.29, respectively. The technique allows for the effective integration of traditional elements extracted based on the method into modern clothing design, promoting more diversity in the visual expression of contemporary clothing design.

Nowadays, the convergence of global clothing culture is becoming more and more significant, and “Chinese style” clothing, which integrates traditional Chinese cultural elements into clothing design, is being sought after by more and more contemporary consumers. This paper proposes research on modern clothing design that incorporates pottery patterns supported by three-dimensional image processing technology. After using three-dimensional measurement technology to obtain pottery image data, the extracted three-dimensional image is smoothed, segmented, and binarized to complete the extraction of pottery patterns. The extracted pottery pattern features are then automatically reorganized using shape grammar, so that the pattern features can be better integrated into modern clothing design, and a case study is conducted on the clothing design that incorporates pottery pattern features. The data show that the indexes of pottery pattern extraction based on 3D image processing are Recall=95.23%, Precision=91.64%, Jaccard index=94.12%, F-measure=93.36%, and the performance of pottery pattern extraction can satisfy the standard of modern clothing design. In the pattern characteristics and “individualized - mass” clothing design, the prominent design method is the uniform and different shapes and sizes of the full-body pattern combination (0.947). The application of colored pottery patterns to clothing in this study not only meets people’s demands but also has significant significance for the preservation of traditional Chinese culture.

Clothing style is the core of apparel design, and three-dimensional clothing style design focuses on showing the effect of clothing appearance. The purpose of this paper is to organize consumer research data and use principal component analysis to extract consumer lifestyle factors. To obtain five types of consumer groups, the KFCM algorithm based on artificial fish school optimization uses the lifestyle factor as the clustering variable and performs rapid clustering. Analyze the differences in attitudes towards 3D clothing among the five types of consumers using ANOVA after extracting their attitude factor again. Analyze the steps of 3D clothing generation, combine 3D clothing parts using natural splicing algorithms, and consider the design factors that affect 3D clothing consumers to generate the 3D clothing styles that consumers like. The analysis of the influencing factors shows that the consumer group of “self-expressive fashionistas”-Type 1 has the most positive attitude towards 3D garments, with a mean value of 3.8695, while the consumer group of “rough-and-tumble comforts”-Type 3 has the lowest mean value, which indicates that the consumer group of Type 3 has the most positive attitude towards 3D garments, and the consumer group of Type 3 has the lowest mean value, which indicates that the consumer group of Type 3 has the lowest attitude towards 3D garments. 3D clothing receives the least positive feedback from the consumer group. The design of 3D clothing should actively incorporate fashion, health, popularity, and other design factors.