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First, This paper quantifies and ranks each constituent element using two methods of interior interaction design: extraction and weight determination. Secondly, the interaction experience mechanism of the scene space is proposed based on the user’s interaction behavior and feedback in the virtual reality interaction mechanism of Bayes’ theorem. The positioning of the virtual scene and the transformation of the user’s perspective in virtual reality are achieved through human spatial location mapping and the field-of-view range approach. The results show that in the virtual environment, the mean satisfaction value for the designer’s top view presentation is 5.876, the mean usability value is 22.52, the mean satisfaction value for the first view presentation is 4.929, and the mean usability value is 19.50. This paper provides new ideas and methods for the application of virtual reality technology in the field of interior design by providing a variety of interaction methods and immersive experiences for interior designers.

This paper is oriented to the all-media vision to run the database mechanism in a multidimensional interactive teaching system for environmental art and design majors to maximize the possibility of predicting the probability distribution of the next course. Installing the database on the server enables data interaction within the system. Use a wavelet neural network for training to achieve the balance of communication channels. The results show that the mean square error of the system designed in this paper is under 0.1, the minimum average response time is 120.6ms, and the score of the important factor of student course evaluation is 75. The all-media vision can provide teaching design ideas for the teaching process of environmental art design majors and nurture applied design talents, as demonstrated.

This paper aims to promote the integration of animation design and cultural and creative industries. The shape gradient algorithm is used to analyze the features of the animated shapes. The corresponding interval distance of anime shapes is determined by calculating the curve sampling points of anime feature points. The deformation framework is created, and a sequence of anime shapes is generated using the linear interpolation method. In the deformation of anime design, the role of three algorithms, namely image segmentation module, association map of attributes, and mathematical description of EMD, on its generation is focused on the analysis. The results show that anime users from post-00 and post-10 are more inclined to anime peripherals, accounting for 30% and 35%, respectively. The annual growth rate of anime peripheral is 90.2%, and the annual growth rate of the overseas anime market is also gradually increasing, reaching a growth rate of 103.1%. A successful anime IP will certainly influence the development of its anime and cultural creation industry. The research in this paper is conducive to promoting better integration of animation design and cultural and creative industries and promoting the development of an innovation economy.

In this paper, relevant cultural materials were first collected and extracted using knowledge mapping and retrieval tools, and the co-occurrence analysis method was used to construct the co-occurrence relationship matrix between keywords. Combined with the method of graphic vectorization, the traditional cultural and creative product design patterns and motifs are directly scanned to extract the design prototype’s outer contour and polygonal path. Next, the recommendation process of cultural and creative products was realized by combining collaborative filtering and the TransD-CF algorithm. Finally, the influence of cognitive attitude and purchase behavior indicators on cultural and creative products was analyzed through correlation. The results show that the difference between genders using essay on hobby collection of cultural and creative products is 0.203, and the practicality requirement of cultural and creative products decreases by 0.09 for every 100 yuan increase in price. This paper presents a fresh perspective on cultural and creative promotion and plays a guiding role in design practice with the aid of artificial intelligence.

This paper first investigates the method of extracting features from Chinese embroidery art images, including preprocessing, filtering, and enhancement steps. Then, the multi-classification recognition technique based on an improved support vector machine is used to classify and recognize different modern dress designs. Non-iterative and conjugate orthogonal algorithms are proposed for a feature fusion method based on partial least squares analysis. In the performance analysis part, the performance of feature extraction classification, data fusion energy, and fused data noise are evaluated. Lastly, the impact of the dress style generation map incorporating fused Chinese embroidery elements is analyzed. The study shows that the method in this paper can save 33.4 J of energy consumption after running for 250 s compared with the popular learning-based method. At least a 10% improvement in the number of dress style graphs that interest social event participants, etiquette service practitioners, and performers was achieved after multiple training iterations.

This paper firstly discusses the value significance of emotional packaging design, outlines its design principles and methods, and explains the thinking structure of emotional design. Secondly, the feature detection of symbolic graphics is realized using a mixture of regression and segmentation, and a multilevel cross-modal perceptual emotion recognition model is constructed based on the collaborative attention mechanism of the cross-modal Transformer and recurrent neural network. Finally, a dataset test and empirical analysis were conducted to verify the model’s effectiveness in this paper. The results show that the multimodal fusion model has better recognition performance than the unimodal and bimodal models, with F1 values of 0.914, 0.923, and 0.902 for neutral, positive, and negative emotions, respectively. Symbolic graphics in the emotional design of gift packages are mainly expressed in the form of intuition, vividness, and validity to emphasize the diversity of symbolic graphics in the emotional design of gift packages. This shows that multimodal emotional fusion can be realized to analyze the emotional design of symbolic graphics of gift packaging and promote the emotional innovation design of symbolic graphics of gift packaging.

Compared with traditional monolithic carbide ceramics, Cu-based composite ceramics have the advantages of higher hardness, good wear resistance and oxidation resistance and are a new type of structural ceramics with wide application prospects. This paper first proposes a novel bi-directional freezing technique to construct a three-dimensional long-range ordered layer network hierarchical structure based on the pressure infiltration process. Secondly, a composite finite element model based on fuzzy numerical analysis is proposed for the vibroacoustic analysis of the periodic composite coupled system (PCSAS). Finally, thermal analysis experiments and mechanical property tests verify the effectiveness of Cu-based composites applied to ceramic matrices. The experimental results show that the toughness of Cu-based composite ceramics increases with the increase of TiC content, and the toughness increases from 2.15±0.27Mpa.m1/2 to 4.21±0.25Mpa.m1/2 compared with that of conventional monolithic carbide ceramics. The Cu-based composite ceramics designed in this paper give full play to the advantages of the high strength of ceramic particles and high toughness of metal matrix and develop an effective method to prepare structural metal-ceramic composites. This paper has developed an efficient route for preparing structural metal-ceramic composites, which can provide a reference for materials researchers to develop high-toughness composite ceramics.

Anomaly detection for Internet egress is to enhance the user experience of browsing the Internet. Firstly, the five functional modules of the system are described, and the pre-processing data module is used to extract the Internet topology data for Internet anomaly detection. The linear regression algorithm is also introduced in detail, including the definition of linear regression and its parameter estimation method and the optimization of linear regression parameters by variance and squared error. Finally, the performance evaluation of the anomaly detection system proposed in this paper is carried out to verify the system’s feasibility. From the performance evaluation, the detection rate of the system in this paper is 2.93 and 5.33 percentage points higher than that of SVM and SNN detection methods, respectively, and the false alarm rate is 2.85%. Regarding the impact of different packet lengths, the system in this paper is relatively stable when the packet length is 600, with an accuracy rate of 99.94% and a false alarm rate of only 1.93%. The above data show that the Internet egress anomaly detection system proposed in this paper can effectively detect the anomalies existing in the Internet egress and accurately grasp the data can timely deal with the abnormal nodes, thus improving the user browsing experience.

Although many kinds of intelligent toys, interactive toys that can mobilize children’s sensory experience in many aspects and cultivate their creative thinking are still scarce. In this paper, interactive experience elements are built based on virtual reality technology, image recognition technology, human-computer interaction theory, and ergonomics theory. A brain interaction network based on multimodal sensory modulation is constructed to allow intelligent toys to perceive their surroundings effectively. And the dynamic causal model (DCM) is proposed to infer the connection strength and direction of neural activities among pre-defined cortical regions of the brain. The results showed that the classification accuracy of noisy audiovisual (AVd) modality in the BA18 region was 87.87% significantly higher than that of the STS region (81.41%). The average classification accuracy of the mono-visual noise-added (Vd) modality in the BA18 ROI was 79.40%, which was also significantly higher than that of the STS ROI at 65.12%. It indicates that the interactive design based on multimodal senses can effectively stimulate children’s brain interest areas, which makes children experience better and communicate more interactions. The research results of this paper provide new perspectives and have important implications for the application of interactive intelligence to toy art.

As an emerging product of the rapid development of science and technology in the era of big data, digital media art is the application of various technologies, such as computer processing and digital special effects in film and television animation creation. This paper firstly takes digital media art as the research base and discusses the path of advancing digital media art in film and television animation. Secondly, the Web 3D interaction technology in digital media art is applied to the model building and animation generation of film and television animation, and the human body movements are captured to get the form reconstruction to generate SMPL human model parameters. Finally, a three-factor repeated measurement experiment and ablation experiment verified the feasibility and effectiveness of applying digital media art to film and television animation. The results show that the interaction of AOS and TT has a significant main effect on the total interaction time MT and F(15,43.213) = 62.329. In the ablation experiment, the increase points are 1.98, 1.63, and 1.52, which are greater than 1.5 on average. The application of digital media art to film and television animation proposed in this paper verifies the scheme’s feasibility through the ablation experiment and the three-factor repetition test. It also lays the foundation for the international development of Chinese film and animation.