scholarly journals Children’s Clothing Virtual Simulation Immersive Design and Show Based on Machine Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Dai Jingyu ◽  
Dai Hongyu ◽  
Wang Jianxing ◽  
Wang Xuanzi

In view of the inconvenient display of children’s clothing, the poor experience of designers when modifying sample clothes, and the immature display of children’s clothing, which affects the rational judgment of fashion buyers, this paper puts forward the modular design method of children’s clothing virtual fitting. This research uses Lectra CAD software to make children’s clothing pattern, Clo3D for virtual modular design, and “Insanda children’s clothing virtual design and show” for virtual try-on and show. The simulation results show that the research can effectively improve the efficiency of designers and buyers, can save costs, and can be effectively applied in the commercial field. At the same time, it provides a practical basis for the development of children’s clothing virtual display technology and the formulation of standards related to children’s clothing in the future.

2013 ◽  
Vol 711 ◽  
pp. 613-616
Author(s):  
Fei Liu ◽  
Nan Lin

Car of virtual display, for the enterprise can save large amount of advertising investment, to provide an understanding of product experience. The paper analyzes the common automobile virtual display technology and design method, put forward web environment dynamic interactive 3D browsing solutions, as well as the automobile display system design frame and ideas. With practical examples, to discuss the automobile virtual display design schemes in the process of evaluation and the problem that should be noticed, summarizes the development and application in the future.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xue Li ◽  
Xiaobing Hu

With the deepening of reform and opening up, the development of China’s ceramic industry has been rapidly improved, leading the world, and various ceramic varieties have also been greatly developed. However, as the growth rate of the global economy has gradually slowed down and structural imbalances have become more obvious, China’s economy has gradually entered a new development trend. In the context of supply-side structural reforms, the severe macroenvironment and policy pressure to eliminate backward production capacity have further promoted the development of China’s ceramic industry to face greater challenges. In the context of the rapid development of various high-tech technologies such as “Internet +” and intelligent manufacturing, this paper discusses the use of VR technology in the design of ceramics from the principles and characteristics of ceramic design and, according to the characteristics of virtual design of ceramics, demonstrates the feasibility of its shape, decoration, color matching, and so on. The ceramics are classified according to their use functions, and the characteristics of different types of virtual display of ceramics and their suitable virtual display methods are discussed. Finally, this paper combines panoramic image display technology and graphic VR display technology to create the best virtual display method suitable for different types of ceramic products, implements the interactive design in virtual software, and then performs virtual display.


2017 ◽  
Vol 88 (15) ◽  
pp. 1721-1734 ◽  
Author(s):  
Yan Hong ◽  
Pascal Bruniaux ◽  
Xianyi Zeng ◽  
Antonella Curteza ◽  
Kaixuan Liu

This research puts forward a novel knowledge-supported design process for obtaining personalized ready-to-wear garment products aimed at consumers with atypical morphology by using a virtual a three-dimensional-to-two-dimensional (3D-to-2D) design method. The proposed design process starts with designing a personalized garment block, which is then extended into the desired ready-to-wear garment style. The garment block is obtained by using a virtual 3D-to-2D design method. The extension and sizing of the garment block pattern into desired ready-to-wear garment patterns is performed in a 2D environment using classic methods. The proposed design solution begins with a personalized garment block, thus avoiding the complicated operations of simulating a 3D garment directly in the virtual environment. The proposed design process can be fully digitalized, which ensures the involvement of the consumer throughout the design. By repeatedly running the sequence of Design – Display – Evaluation – Adjustment, which is technically accomplished through the virtual 3D-to-2D design method and 3D virtual try-on, the designers’ patterns and principles of elaborating personalized garment products can be validated within a very short time. As a knowledge-supported design process, designers’ design ideas and principles of personalized design solution can be fully extracted to enhance satisfaction of the final product. A set of experiments and case studies validated the approach and application of the proposed knowledge-supported virtual design process, and demonstrated its efficiency.


2021 ◽  
Vol 13 (7) ◽  
pp. 168781402110343
Author(s):  
Mei Yang ◽  
Yimin Xia ◽  
Lianhui Jia ◽  
Dujuan Wang ◽  
Zhiyong Ji

Modular design, Axiomatic design (AD) and Theory of inventive problem solving (TRIZ) have been increasingly popularized in concept design of modern mechanical product. Each method has their own advantages and drawbacks. The benefit of modular design is reducing the product design period, and AD has the capability of problem analysis, while TRIZ’s expertise is innovative idea generation. According to the complementarity of these three approaches, an innovative and systematic methodology is proposed to design big complex mechanical system. Firstly, the module partition is executed based on scenario decomposition. Then, the behavior attributes of modules are listed to find the design contradiction, including motion form, spatial constraints, and performance requirements. TRIZ tools are employed to deal with the contradictions between behavior attributes. The decomposition and mapping of functional requirements and design parameters are carried out to construct the structural hierarchy of each module. Then, modules are integrated considering the connections between each other. Finally, the operation steps in application scenario are designed in temporal and spatial dimensions. Design of cutter changing robot for shield tunneling machine is taken as an example to validate the feasibility and effectiveness of the proposed method.


2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.


2011 ◽  
Vol 48-49 ◽  
pp. 17-20
Author(s):  
Chun Li Xie ◽  
Tao Zhang ◽  
Dan Dan Zhao ◽  
Cheng Shao

A design method of LS-SVM based stable adaptive controller is proposed for a class of nonlinear continuous systems with unknown nonlinear function in this paper. Due to the fact that the control law is derived based on the Lyapunov stability theory, the scheme can not only solve the tracking problem of this class of nonlinear systems, but also it can guarantee the asymptotic stability of the closed systems, which is superior to many LS-SVM based control schemes. The effectiveness of the proposed scheme is demonstrated by simulation results.


2014 ◽  
Vol 716-717 ◽  
pp. 1518-1521
Author(s):  
Shu Fang ◽  
Yan Xu ◽  
Fei Dong

The manufacture of fire robot has characteristics such as different types and piece production, and flexible manufacture and cost control of the fire robot must be considered due to these characteristics. In this paper, the similarity of fire robot’s working environment was analyzed, The demand of chassis’s adaptability and the method using general technical platform were discussed with the thinking of modular design, and new series fire robots which composed of the general platform and different function modules were proposed, and the manufacture cost of traditional design method and modular design method were compared in using the activity-based costing method, and under the new design method the manufacture cost were decreased extremely.


Author(s):  
Qi Cheng ◽  
Shuchun Wang ◽  
Xifeng Fang

The existing process equipment design resource utilization rate in automobile industry is low, so it is urgent to change the design method to improve the design efficiency. This paper proposed a fast design method of process equipment driven by classification retrieval of 3D model-based definition (MBD). Firstly, an information integration 3D model is established to fully express the product information definition and to effectively express the design characteristics of the existing 3D model. Through the classification machine-learning algorithm of 3D MBD model based on Extreme Learning Machine (ELM), the 3D MBD model with similar characteristics to the auto part model to be designed was retrieved from the complex process equipment case database. Secondly, the classification and retrieval of the model are realized, and the process equipment of retrieval association mapping with 3D MBD model is called out. The existing process equipment model is adjusted and modified to complete the rapid design of the process equipment of the product to be designed. Finally, a corresponding process equipment design system was developed and verified through a case study. The application of machine learning to the design of industrial equipment greatly shortens the development cycle of equipment. In the design system, the system learns from engineers, making them understand the design better than engineers. Therefore, it can help any user to quickly design 3D models of complex products.


Author(s):  
Jie Yuan ◽  
Yuan Ji ◽  
Zhou Zhu ◽  
Liya Huang ◽  
Junfeng Qian ◽  
...  

In order to solve the problems of large error and low performance of traditional progressive image model matching information checking methods, an automatic progressive image model matching information checking method based on machine learning is proposed. The generation method of progressive image is analyzed, and the target image sample is obtained. On this basis, machine learning algorithm is used to segment progressive image samples. In each image segmentation part, crawler technology is used to automatically collect progressive image model matching information, and under the constraint of image model matching information checking standard, automatic checking of progressive image model matching information is realized from geometric structure, image content and other aspects. Experimental results show that the verification error of the design method is reduced by 0.687 Mb, and the quality of progressive image is improved.


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