Innovative Design of Traditional Ethnic Clothing Based on Numerical Computing Optimization Combined with Smart Wearable Devices

Using digital back camera to complete the traditional national costume image acquisition work, and then with the help of VOLO model to segment and colorize the image, the traditional national costume elements were successfully extracted.By fusing them with smart wearable devices, a detailed fusion implementation scheme is developed, which contains constraints and objective functions.In the context of numerical computation optimization, the fruit ly algorithm (FAO) is used to explore the fusion design scheme of the two in depth.The values of the four objective factors of the fusion design are 0.233, 0.232, 0.348, 0.144, and the inal value of the objective function is 0.957, which indicates that the results of this paper not only can improve the comfort of the device and the user's experience, but also can provide a new idea and method for the fusion of the apparel industry and the wearable device industry.

Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2025-03-30
DOI
https://doi.org/10.61091/jcmcc127a-425
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
0.00
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article

Innovative Design of Traditional Ethnic Clothing Based on Numerical Computing Optimization Combined with Smart Wearable Devices

Journal of Combinatorial Mathematics and Combinatorial Computing
Digital Media and Visual Art
article

Innovative Design of Traditional Ethnic Clothing Based on Numerical Computing Optimization Combined with Smart Wearable Devices

article en

Abstract

Using digital back camera to complete the traditional national costume image acquisition work, and then with the help of VOLO model to segment and colorize the image, the traditional national costume elements were successfully extracted.By fusing them with smart wearable devices, a detailed fusion implementation scheme is developed, which contains constraints and objective functions.In the context of numerical computation optimization, the fruit ly algorithm (FAO) is used to explore the fusion design scheme of the two in depth.The values of the four objective factors of the fusion design are 0.233, 0.232, 0.348, 0.144, and the inal value of the objective function is 0.957, which indicates that the results of this paper not only can improve the comfort of the device and the user's experience, but also can provide a new idea and method for the fusion of the apparel industry and the wearable device industry.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127a
Openalex Percentile: Top 85%
Digital Media and Visual Art
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