How Facial Symmetry Influences the Learning Effectiveness of Computer Graphic Design in Makeup Design

This study explored the learning effectiveness of drawing makeup designs by computer graphic design and compared the learning differences between traditional hand-drawn and computer-assisted teaching in cosmetology students at universities. The statistical analysis methods of factor analysis, descriptive statistical analysis, and paired sample t-test are used to analyze the difference in students’ learning attitudes before and after the course. It also explored students’ learning effectiveness. The subjects were 55 students from a cosmetology department of a university in Taiwan. The results showed that using a computer tool to create makeup designs improved the overall student learning effectiveness and effectively promoted students’ interest in learning. Moreover, through focus group interviews, changes in the learning effectiveness that were brought about by the use of computer graphic design tools were obtained. Among them, the mirror function could best meet the needs of students for makeup symmetry and design drawing speed and improve their satisfaction with computer graphic makeup. The results of this study are improving the learning effectiveness, maintaining a positive attitude and increasing willingness to learn, and the systematization and digitization of makeup design, and the results could promote teachers to obtain more efficient teaching quality, improve students’ professional skills, and result in better learning results.

Decision-Making Model of Product Modeling Big Data Design Scheme Based on Neural Network Optimized by Genetic Algorithm

At present, machine learning artificial neural network technology, as one of the core technologies of enterprises, has received unprecedented attention. This technology is widely used in automatic driving, pattern recognition, teaching aid, product modeling, and other fields. According to the development of product design, this paper analyzes the factors that affect the decision-making of product design. The neural network optimized by genetic algorithm is studied, and the technical analysis of neural network algorithm before and after optimization is mainly carried out. The basic process of product modeling design model based on image processing under the background of big data is introduced. The multidirectional group decision-making model of product modeling design scheme in big data cloud environment is constructed. The final decision model can improve the overall design efficiency, shorten the manufacturing period, and provide a new idea for product modeling design.