Innovative Collaborative Design of Ru Porcelain Shape Based on Digital Shape Technology

There are fatal defects in both the simulation practical training model and the actual combat practical training model. This paper firstly takes artificial intelligence technology as the basis for the construction of digital wisdom training classrooms and constructs the artificial intelligence digital wisdom training model. Secondly, it combines multi-factor reasoning and integrated clustering ideas to portray the vocational ability portrait of the learner group in the model and realizes the recommendation of students’ personalized training teaching resources with the learner’s portrait. Finally, the effectiveness is verified through the application practice of the digital training model for AI in higher vocational colleges. The results show that the use of multi-factor reasoning and integrated clustering can realize the accurate portrayal of the learner portrait of the digital intelligent training students and the difference between the loss value of the training and validation of the personalized recommendation model based on the learner portrait is about 0.01, and the average time consumed is about 1.05s. The digital training model supported by artificial intelligence technology can help students establish higher-order scientific thinking, promote students’ mastery of skills, and fully compensate for the shortcomings of the existing practical training model.

Section: Review Of Studies Related To Digitalized Training Models 1) ...mentioning

confidence: 99%

Research and Practice of Digital Training Model Based on Artificial Intelligence Technology

Duan

2023

“…Therefore, the creation of ceramic art needs to change and innovate the idea of ceramic art design in order to meet and suit the development of contemporary society [13][14][15][16]. The design based on the fusion of multiple features in ceramic art is one of the ways with innovative design [17]. In addition to the traditional carving, painting, glazing, coloring, and other craft methods [18], should also boldly use some new craft techniques, new technologies, and new equipment to try to design and create so that the form of the craft is more colorful and beautiful [19][20].…”

Section: Introductionmentioning

confidence: 99%

Research on the application of multi-feature fusion in ceramic art design

Li,

Fang

2024

In this paper, median filtering and linear stretching are used to preprocess the classified ceramic images, respectively, and the LoG operator is utilized to detect the edges of ceramic photos. Combining the Hough transform and TMOAA algorithm to measure the edge length, thickness, and diagonal dimension of ceramics to obtain the basic elements of ceramic art design. The FAST algorithm is used to make up for the shortcomings of the SIFT algorithm in real-time, to extract the features of the overall image of ceramics and the vessel image, and then combined with the thinking framework of ceramic art design to generate the best conceptual model of ceramic art design. Extract and detect the ceramic vessel image and carry out similarity rate calculation, quantify the enamel color characteristics to generate a color design scheme, calculate the color difference value, and evaluate the aesthetic value of ceramic art design works from the perspective of ceramic art design aesthetics. Porcelain enamel color difference ΔE = 2.0369, ΔE ≤ 5.00~6.00, in line with the color quality standards, indicating that the color design scheme generated based on the color semantic elements has a certain applicability. Evaluating the best conceptual model of ceramic art design by aesthetic standards, the works generated based on the seven ceramic patterns have different aesthetic values and different forms, which meet the various demands for ceramic artworks nowadays.

“…Bin, S. et al argue that the application of computeraided design in the context of digital technology in the field of ceramic product design and manufacturing is still in its infancy. Taking Ru porcelain as a research object, a design process for Ru porcelain modeling was proposed based on its modeling characteristics, three-dimensional evolution of data, and the combination of image modeling methods and solid design [18]. Cascini, G. et al investigated the potential of a novel projection-based AR system for the creation of design representations in support of co-creative design meetings.…”

Section: Introductionmentioning

confidence: 99%

Development of Visual Culture in Product Design with Application of Digital Mining Technology

Zhu

2023

The development and use of digital mining technology provide new trends for product visual design. This paper identifies the product design system using the product appearance design framework. Digital technology is integrated into the product’s visual style, and the empathy design method is utilized to communicate the product’s culture. Apply fuzzy language summarization algorithm of digital mining technology to calculate user demand data, propose weight calculation method based on fuzzy language summarization results, and set objective weights of product user demand. The design of product visual culture is based on the results of acquiring and parameterizing product users’ perceptual demands, and the design results are evaluated in terms of three-party satisfaction. The average satisfaction values of industrial design experts, automobile appearance researchers, and mass consumers are 4.09, 4.23, and 4.53, respectively, indicating that the visual design results of automobile appearance have a high degree of user satisfaction, which is in line with the expectations of design practice.