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Application and research of computer aided technology in clothing design driven by emotional elements

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  • Jing Liu

    (Xi’an Polytechnic University)

Abstract

With the advent of the information age, people's dress is developing towards fashion, personalization, novelty, sample, high quality and high-grade. Therefore, clothing computer aided design software plays an increasingly important role in the sales of products and the development of enterprises. It not only meets the designer's inner design standards, but also needs to be familiar with the usual operating habits and technological standards of the typewriters, so as to accelerate the speed of typewriters, layouts and layout to increase benefits of clothing enterprises and other humanized functions. Hence, this paper discusses the computer aided technology in clothing design driven by emotional elements. Since the texture image shows different characteristics under the illumination of different directions, more texture 3D feature information can be extracted by using the texture image under the illumination of different directions. Using these sufficient texture feature information for the training and classification of machine learning algorithms can accurately complete the effective recognition. And considering the image features, the novel ideas and applications are tested compared with the latest model.

Suggested Citation

  • Jing Liu, 2023. "Application and research of computer aided technology in clothing design driven by emotional elements," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(5), pages 1691-1702, October.
    • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:5:d:10.1007_s13198-023-01973-6
    DOI: 10.1007/s13198-023-01973-6
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    References listed on IDEAS

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    1. Pravin Kumar & Rajesh K. Singh & Rakesh Kumar, 2017. "An integrated framework of interpretive structural modeling and graph theory matrix approach to fix the agility index of an automobile manufacturing organization," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 342-352, January.
    2. Jean-Claude Baraka Munyaka & Venkata Seshachala Sarma Yadavalli, 2021. "Decision support framework for facility location and demand planning for humanitarian logistics," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(1), pages 9-28, February.
    3. Rachid Ouache & Gyan Chhipi-Shrestha & Kasun Hewage & Rehan Sadiq, 2021. "An integrated risk assessment and prediction framework for fire ignition sources in smart-green multi-unit residential buildings," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1262-1295, December.
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