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Since its introduction into China, the film Dune has sparked heated discussions among Chinese moviegoers. This paper explores the sense of cosmic community embedded in Dune, and its cinematic aesthetics conveyed to audiences through the information dissemination path. This paper identifies the hierarchical analysis method as the main research method, first identifies the definition of cosmic community in terms of content, and then conducts an appreciation of the sense of cosmic community in the contextual beauty of “Dune”. The algorithmic framework is established by building a model of the hierarchical analysis method, while the priority weight allocation coefficient is calculated afterward to determine the priority weight of the program, and the results are evaluated using the fuzzy preference evaluation method. The data showed that the highest ratio of movie viewers who liked science and technology very much or more was 36.09% and 35.49%, respectively, while the ratio of movie viewers who were interested in the topics of universe and space exploration was 48.8%. The rating screen effects and movie music scored out of 10, and the average audience rating was above 8.2. And Dune belongs to the topic of cosmic exploration, indicating that at least in terms of the movie audience, Dune already has a large audience base in the early stage, which is one of the sources of the movie’s enthusiasm. This paper is feasible and meaningful to explore the research direction of Dune’s cosmic community of contextual beauty from the contextual level.

In order to promote the integrated development of culture and the tourism industry, this paper explores the integration of traditional culture and the rural tourism industry. Firstly, a bottom-up knowledge graph construction method is designed based on the DGCN relational extraction model, Muhead-CU-FL-BE entity extraction model and Neo4j high-performance graph database. Then, based on the domain and characteristics of traditional culture and rural tourism industry integration, the knowledge graph of rural traditional culture and tourism industry integration is constructed from three aspects: line results, ontology model and description of this paper. Finally, the performance of the knowledge graph constructed in this paper is tested on the relevant dataset, and the visualization analysis of industrial integration is carried out through the constructed knowledge graph. The results show that the overall performance of the relationship extraction algorithm in this paper is around 0.7, the entity extraction algorithm has the best performance, and the overall performance is around 0.8, and the ratio of the public ancestor nodes of 5 times linking in the 5th and 6th layers is greater than 0.65. The centrality of culture and tourism industry, cultural and tourism fusion, high-quality development, culture and tourism, and industry fusion are 0.78, 0.60, 0.58, and 0.80. The centrality of the keywords is 0.78, 0.60, 0.58, and 0.80, respectively, 1.00, and the strength of the salient values of each keyword is concentrated around 1~3.

This paper investigates the kinematic motions of space-like and time-like curves specified by acceleration fields in Minkowski space ℝ2,1. Through the motion, the relationship between the acceleration fields and velocity fields is determined. In this study, we focus on studying the flows of inextensible space-like curves with a space-like principal normal vector specified by a normal acceleration that equals the curvature of the curve. Through the motion of the inextensible space-like curve with normal acceleration, we prove that the position vector of the curve satisfies a one-dimensional wave equation. We present some novel applications and visualize the flows of curves and their curvatures.

The digital economy has become an important driving force for green energy consumption, and its impact has covered rural areas. This paper establishes a comprehensive evaluation model of green energy consumption based on group principal component analysis, and at the same time establishes evaluation indicators of the green energy consumption level of rural residents to explore the impact of the development of the digital economy on green energy consumption. Based on the comprehensive evaluation model and evaluation indexes, the green energy consumption level of rural residents in the “2+26” cities and the three major economic zones is analyzed. The rural areas with higher green energy consumption levels by 2022 include Tangshan, Jining, and Kaifeng, with 0.794, 0.788, and 0.852, respectively. The willingness of rural residents in the three major economic zones to consume green energy is in line with the trend of the degree of development of the digital economy, in which the willingness to consume green energy is highest among rural residents under the age of 20 in the eastern region, with an average of 4.81. At the same time, the development of the digital economy has a direct effect on the level of consumption of green energy. The regression coefficient of the direct effect on the level of green energy consumption is 0.289. Overall, the development of the digital economy has a greater promotion effect on the level and willingness of rural residents to consume green energy.

The difficulty of creating and choreographing group dances lies in the need for dozens or even hundreds of actors and choreographers to work together to complete the workload and its complexity. A computer-aided dance creation and choreography technology based on information fusion technology is proposed in this paper as a solution to this problem. The movement path is extracted from the movement trajectory of the character’s root joints using information fusion technology. The interactive interface is used to create the target path, which is then mapped to the dance movement. The actor’s dance is freely edited based on the characteristics of their body’s movement posture. To confirm the effectiveness of the method, the Herzhe ‘Fish Eagle Dance’ dance movements were tested with dance creation and choreography technology. The results show that the spatiality intensity of the first and second movement segments was found to be 0.1618 and 0.4555, respectively, during the choreography process. The standard and measured values of the movement angle of the left arm joints appeared to have the maximum difference value of 0.19771 between 9~10 s. The choreographers can use these resultant parameters to optimize the cumbersome, repetitive rehearsal process by providing data references.

This paper analyzes the social network, explores the association structure in the social network, optimizes the classical social network mining algorithm by combining the penalty matrix, and constructs the mining algorithm for students’ mental health status based on the social network by using the penalty matrix for clustering inference. On this basis, the constructed algorithm is verified by combining quality index, performance index and modularity, and the mining of students’ mental health status and mental health influencing factors is carried out to explore the teaching mechanism of school mental health education from the side. The results show that the mental health social network has a total of 50 nodes and 169 edges, and the module degree is generally in (0.4,0.9), which is reasonably divided, and is in the subhealth condition, and the mental disorder situation accounts for more. The correlation of students’ mental health is mostly distributed between (2,5), and the correlation coefficients of environmental changes, academic expectations, interpersonal relationships, self-perception, psychological conflicts, life events, family environment, and economic situation with students’ mental health are all greater than 0.5 so that the mechanism of teaching mental health education in schools is a home-school-society linkage mechanism.

This paper first analyzes the mechanism of transmission line dancing and constructs the mathematical model of transmission line dancing and the parameters of transmission line dancing. Then, a transmission line dancing monitoring and warning system is designed by integrating multiple inertial sensors, and the tower monitoring main splitter and wireless inertial monitoring and warning unit are designed, respectively. Then, the transmission line dancing trajectory was denoised using the wavelet threshold method, and the two-way inequality was determined by the attitude decomposition algorithm so as to design the transmission line dancing trajectory parameter identification algorithm. Finally, the designed system is tested experimentally, and the monitoring performance of the dance monitoring trajectory system is analyzed using collected data. The results show that the angular error of the sensor’s pitch and roll attitudes is within 0.5°, the angular error of the heading angle is within 1°, and the acceleration of the smoothed signal is in the range of -0.2/g~0.2/g. The relative error of amplitude recognition is up to 2.6 cm, and the frequency recognition basically agrees with the actual movement frequency, which is 0.21 Hz, and the error of the recognized frequency is within 0.03 Hz. Hz.

This paper diagnoses the transmission line dancing situation based on the wide-area traveling wave information transmission and dancing mechanism. The characteristics of the wide-area initial traveling wave propagation are analyzed, and the traveling wave information of transmission line dancing is analyzed using wavelet transform. Measure the voltage traveling wave energy distribution for online monitoring and diagnosis of transmission lines. To study the dancing amplitude of transmission lines, a finite element analysis model is created. The detuned pendulum anti-dancing device is designed, the detuned pendulum dynamics equation is constructed, and the critical wind speed leading to transmission line dancing is investigated by the theoretical equation method and the stability theory method. Through the empirical analysis method, the transmission line dance monitoring and the anti-dance effect are analyzed. The experiments show that when the transmission line dances at a slower speed, the online monitoring method based on wide-area information monitors the motion of the target spacer bar between two neighboring frames between [1,3], and the processing speed is 138.2 frames per second faster than the other techniques, which is successful in tracking the dancing target of the transmission line. In the anti-dance test, before the anti-dancer was added, the transmission line amplitude reached 12,12m/s from the beginning at a wind speed of 18m/s and 14m/s to provoke dance. After the installation of the anti-dancer, the amplitude is maintained between [0,1] in most cases, and the anti-dancer has a good anti-dance effect.

Confucianism is a cultural school guided by Confucianism, which is of great significance to the development of Chinese philosophy. This paper first introduces the steps of the outlier data mining algorithm of weighted deep forest, describes the construction method of weighted deep forest, divides the data into several different dimensions, and enters the random forest training in turn. Then outlier detection is introduced, dividing the data into classes with different densities and calculating their local isolation factors and outlier data. Then the algorithm’s performance is tested, and finally, the influence of Confucianism on Chinese philosophy and the main position of Confucian philosophy in the history of Chinese philosophy is analyzed. In terms of algorithm performance, the number T of different decision trees has an impact on AUC. When the number T of subtrees is 50, the AUC value starts to converge, and when the number T is 100 and 200, the AUC value of the algorithm is close to 1. In terms of the influence of Confucianism on Chinese philosophy, 75% of the people think that Confucianism Confucianism is precocious and has enriched the connotation and promoted the evolution of Chinese philosophy. Confucianism is an essential part of the Chinese philosophical calendar, advancing Chinese philosophy and moral culture.

Tourism architecture is an important material guarantee for carrying out tourism activities in scenic spots and is an important part of the tourism system. This paper analyzes the theory and structure of the G-DINA model in detail. To conceptualize the geospatial tourism architecture, form a conceptual cognition, and establish a basic geospatial tourism architecture cognitive model. Then the G-DINA model is brought into the basic cognitive model, and cognitive judgments are made using observation of tourism building features to form a G-DINA-based geospatial cognitive model of tourism buildings for planning and design of scenic tourism buildings. Experimental proof: By comparing the number of tourists in a tourist area for two months, it is obvious that the number of tourists in the second month has increased by 592 compared with the number of tourists in the first month, which is 160% of the number of tourists in the first month, and the comprehensive index of tourism economy has increased from 0.08 to 0.5, with an annual growth of 8.3%, showing a gradual upward trend in general. Accordingly, it can be considered that the attractiveness and competitiveness of tourist areas are significantly improved through the rational planning and design of tourist buildings. This verifies that reasonable design of tourism architecture and scientific planning of tourism areas can strengthen the harmony between tourism architecture and local style and surrounding environment, highlight regional characteristics and let them be inherited, and promote tourism development.