This research mainly studies the construction and implementation of the content-based folk music retrieval model. Firstly, it studies the music automatic annotation method based on deep learning... Show More

This research mainly studies the construction and implementation of the content-based folk music retrieval model. Firstly, it studies the music automatic annotation method based on deep learning, and then proposes the tag conditional random field music automatic annotation method, and then constructs the music annotation depth neural network model combining a variety of music representation and attention mechanism. Finally, it analyzes the proposed folk music retrieval model the effectiveness of the cable model is verified and its performance is evaluated. The results show that in Glu module, Glu blocks had better performance in music annotation, and the music annotation results of each index in music hierarchical sequence modeling are better, which ensures the effectiveness of music annotation. Compared with other algorithms, the AUC tag score of the proposed method is the highest, which is 0.913; it can better model the mapping relationship between the audio features of music input to the text tag and has higher scores on all evaluation indicators.

In the construction management, it is possible to transmit large amounts of information in real-time during manufacturing, which can aid in the organization and administration of building materials.... Show More

In the construction management, it is possible to transmit large amounts of information in real-time during manufacturing, which can aid in the organization and administration of building materials. Through sampling survey and sand table simulation, the management of building materials based on BIM (Building Information Model) is compared with the traditional management method and the management method combining BIM with wireless network communication, so as to better understand the management method for building materials. This study evaluates the purchase, storage and quality of materials during the construction stage, and the differences in material management between different technical methods at different stages of the project development. According to the results, the average inventory turnover rate of the BIM-based management approach is six times higher than that of conventional management method, while the latter is four times higher. On the other hand, combining BIM with wireless network communication can produce better effects.

With the improvement of living standards, the demand for high-quality, personalized modern fashion has surged, which has promoted the growth of this customized clothing industry. The integration of... Show More

With the improvement of living standards, the demand for high-quality, personalized modern fashion has surged, which has promoted the growth of this customized clothing industry. The integration of cutting-edge technologies such as 5G, artificial intelligence and Internet of Things with traditional clothing production has pushed virtual try-on technology to the forefront of global research. This study focuses on the technical challenges of 3D clothing dynamic virtual try-on system in real life—specifically, personalized posture tracking, high-fidelity real-time interaction and cost-effectiveness—using 3D visual sensing theory, clothing simulation modeling principle and advanced tools including Unity3d and Maya. It deeply studies the key areas: collecting sensory data based on Kinect, extracting the skeletal posture characteristics of the elderly, measuring their body circumference and size, developing a 3D dynamic model of clothing with tracking control, and realizing real-time dynamic display of virtual try-on results.

With the continuous development of social economy and the gradual improvement of intangible culture protection system, the express train that integrates intangible culture into cultural and creative... Show More

With the continuous development of social economy and the gradual improvement of intangible culture protection system, the express train that integrates intangible culture into cultural and creative products to drive economic development has been on the highway. The integration of the two has become an important direction of traditional art protection and development in the industry and business of intangible cultural protection. From the perspective of sustainable development theory, this paper points out that the designers and developers of cultural and creative products need to take sustainable design as the core theory, organically combine the narrative of consumers with the intangible culture, and give full play to the social, cultural and commercial value of the current sustainable design theory in the visual design of intangible cultural and creative products. Taking the sustainability of ecological design and the sustainability of people-oriented design as the innovative ideas of visual design.

This paper proposes an advanced approach to enhance athlete safety in martial arts competitions by integrating 6G-enabled technologies with enterprise engineering and semantic integrity principles.... Show More

This paper proposes an advanced approach to enhance athlete safety in martial arts competitions by integrating 6G-enabled technologies with enterprise engineering and semantic integrity principles. Wearable sensors within a 6G network capture vital physiological data, such as temperature, pulse rate, opponent-induced force, and ECG signals. These data are analyzed using an Optimized Support Vector Risk Prediction Model (OSVRPM), optimized through the Vinegar Fly Optimization Algorithm (VFOA), to accurately assess athlete risk levels during competitions. Real-time alert messages, facilitated by the 6G wireless network, are disseminated to medical personnel, judges, referees, and athletes upon identifying heightened risk, ensuring swift intervention and reinforcing safety protocols in martial arts tournaments. This innovative integration exemplifies the application of modeling with enterprise engineering and semantic integrity to safeguard athletes in dynamic competitive environments.

At present, the innovative employment education mode has been popularized in colleges and universities, and China has also begun to vigorously develop innovative employment education. According to... Show More

At present, the innovative employment education mode has been popularized in colleges and universities, and China has also begun to vigorously develop innovative employment education. According to the investigation, there are some disadvantages in the process of innovative employment education, which greatly hinder the teaching effect of innovative employment education. Based on the big data-driven method, this paper takes the micro-course education mode in innovative employment education as an example and makes a systematic study. This paper mainly analyzes three main indexes involved in innovative employment education. In this paper, three typical big data-driven methods are introduced, and the corresponding prediction and evaluation index values are predicted and analyzed. The analysis and prediction results show that the prediction effect based on extreme learning machine is the best. In addition, the results of mathematical fitting show that the corresponding predicted values show a good power function relationship at the personal level and the social level.