Application of Nanomaterials in Safety Intelligent Clothing Design

Xin, Yufeng; Zhang, Dongliang; Qiu, Guopeng

doi:10.1080/10584587.2021.1911293

Cited by 10 publications

(8 citation statements)

References 25 publications

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“…Governments of various countries pay great attention to and attach great importance to intelligent manufacturing. The United States, Germany, France, and other countries have successively formulated the national strategy of advanced manufacturing industry, the French plan for new industry, industry 4.0, etc [ 1 ]. Today, China's economic development has entered a new normal, and the constraints of resources and environment on the manufacturing industry are constantly strengthening.…”

Section: Introductionmentioning

confidence: 99%

Production Scheduling Optimization of Garment Intelligent Manufacturing System Based on Big Data

Sun

Cao

2022

Computational Intelligence and Neuroscience

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In order to improve the efficiency of cloth laying and cutting integrated production process, this article proposes a method of optimal scheduling of cloth laying and cutting garment production system process based on big data and genetic algorithm. The chromosomes in the algorithm are expressed by real strings. The method of bit string crossover and mutation is used to solve the premature problem of the algorithm. The experimental results show that the actual cutting time of the plan is 736 min, and the total idle time is 113 min. The idle time occurs in processes 25, 28, 34, 35, and 31, respectively. The cutting time of the plan arranged by the genetic algorithm is 627 min, and there is no idle time. Conclusion. This method can effectively solve the optimal scheduling problem of the cloth laying and cutting production process.

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Section: Introductionmentioning

confidence: 99%

Production Scheduling Optimization of Garment Intelligent Manufacturing System Based on Big Data

Sun

Cao

2022

Computational Intelligence and Neuroscience

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“…With the rise of artificial intelligence technology, new robots have emerged in many industries, which not only effectively alleviate the shortage of professional caregivers but also improve the ability of elderly and disabled people to live independently [2]. At present, the research on fall detection and prevention technology of walking robots is relatively small, and the technology is not mature enough; the walking robots cannot accurately and quickly identify the user's fall status and give protection measures, so it is necessary to improve the ability to walk aids to detect and prevent falls, which not only brings excellent security to the life of the elderly and disabled patients but also reduces a lot of burden for families and society [3]. This is not only a great safety guarantee for the elderly and disabled patients but also a significant burden for families and the community.…”

Section: Introductionmentioning

confidence: 99%

Research on the Design of Bright Clothing for the Elderly Based on Intelligent Detection of Lower Limb Posture Antifall Sensors

Zhang

2022

Journal of Sensors

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In this paper, we construct a model for intelligent detection of lower limb posture fall prevention sensors, conduct an in-depth study of bright clothing for the elderly with smart detection of fall prevention, and design an article of colorful clothing for the elderly based on intelligent detection of lower limb posture fall prevention sensors. In this paper, the overall system scheme is determined according to the application, including the characteristic position of the device to be worn, the establishment of the reference coordinate system, and the setting of the overall system architecture. The data acquisition, transmission, and saving functions are realized, and the two-step extended Kalman filter, complementary filter, and DMP-Kalman filter are used to solve the posture angle of the measured object. The feasibility of the prototype was verified by testing the daily behavioral activity data and fall behavior data of the elderly, and the collected data were processed and analyzed by three data fusion algorithms, which proved the effectiveness of the algorithms, among which the DMP-Kalman filter algorithm has better performance. From the test results, the design of this paper can detect the posture angle of the human body more accurately, which provides a practical reference for fall detection equipment. Using clothing as a carrier, the fall detection and warning module is integrated with clothing to study an article of intelligent clothing for fall detection and warning for the elderly. A core issue in the integration process is the influence of the clothing on the detection module when the human body is moving. The effect of the material and loft of the clothing on the model is studied through experiments. The results of the two indexes, i.e., sensitivity and specificity, of the integrated model and the model not integrated with the clothing are around 98%. The experimental results of the material and loft of the clothing within a specific range have little influence on the model. The final intelligent garment design scheme was determined on this basis.

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“…The paper reviewed and analyzed the application of Gabor image recognition technology in intelligent garment design, and the research results showed that the use of Gabor image recognition technology could provide more accurate and comprehensive recognition and analysis of garment patterns, as well as more diverse and innovative design solutions and inspiration for garment designers. The literature [13] concluded that using nanomaterials could provide better security and enhance the safety performance of smart clothing, making it more reliable and practical when dealing with dangerous environments and emergencies. The paper analyzes and reviews the use of nanomaterials in the design of safety smart garments and proposes specific methods and strategies for related designs.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of 3D visual perception-driven design of velvet flowers in traditional dresses

Fan

2023

Applied Mathematics and Nonlinear Sciences

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This paper firstly analyzes the specific application of velvet flowers on women’s dresses from the perspective of fashion aesthetics and with the understanding of the background and development trend of dresses. Secondly, based on 3D visual perception, we propose the optimization of the normalization method and loss function optimization, which can improve the migration speed and generation quality of velvet flower design, and then seamlessly fit it to the dress base map by Poisson fusion to realize the intelligent design of velvet flower in dresses driven by 3D visual perception. Then, the color features and attributes of the floral in the dress are studied, and the HSV color space model is used to extract the high-frequency colors and attributes of the dress. Then, the floral design is digitized, and the dress design is driven by 3D visual perception is studied and analyzed. The results show that the loss value of the dress design style migration network trained based on AdaN is the smallest, and the loss value is reduced by 0.19 compared to the dress design style migration network using IN and 0.31 compared to BN. The velvet flower design on the dress design base map can be implemented based on the foundation provided by this study.

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Application of Nanomaterials in Safety Intelligent Clothing Design

Cited by 10 publications

References 25 publications

Production Scheduling Optimization of Garment Intelligent Manufacturing System Based on Big Data

Production Scheduling Optimization of Garment Intelligent Manufacturing System Based on Big Data

Research on the Design of Bright Clothing for the Elderly Based on Intelligent Detection of Lower Limb Posture Antifall Sensors

Application of 3D visual perception-driven design of velvet flowers in traditional dresses

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