Abstract This paper researches and designs a new method to assist volleyball players in better mastering skills. We first collected a color image, analyzed it, and applied histogram equalization for image enhancement. Ultimately, we successfully identified the image of a frontal spike using this method and employed the artificial bee colony algorithm to optimize its contour and trajectory, thus performing better in games. Through this experiment,... This paper researches and designs a new method to assist volleyball players in better mastering skills. We first collected a color image, analyzed it, and applied histogram equalization for image enhancement. Ultimately, we successfully identified the image of a frontal spike using this method and employed the artificial bee colony algorithm to optimize its contour and trajectory, thus performing better in games. Through this experiment, we found that this method can effectively gather accurate frontal spike images, and by using histogram techniques, its signalto- noise ratio was maximized. Simultaneously, it can capture the volleyball’s edge contour, achieving a high tracking accuracy. Read More Read Less

Abstract The current education system faces problems, such as uneven distribution of educational resources, shortage of teacher resources, and unstable educational quality. These issues constrain education development and require the search for new solutions. Artificial intelligence technology has powerful data processing and pattern recognition capabilities and can play an important role in education. For example, intelligent teaching systems can provide personalized teaching based on students’ learning situations... The current education system faces problems, such as uneven distribution of educational resources, shortage of teacher resources, and unstable educational quality. These issues constrain education development and require the search for new solutions. Artificial intelligence technology has powerful data processing and pattern recognition capabilities and can play an important role in education. For example, intelligent teaching systems can provide personalized teaching based on students’ learning situations and ability levels, improving learning effectiveness. The intelligent evaluation system can automatically grade assignments and exams, reducing teachers’ workload. Intelligent management systems can optimize the allocation of educational resources and improve resource utilization efficiency. This article proposes a construction plan for the education system based on artificial intelligence technology, aiming to enhance the quality of education and efficiency and adapt to future education development needs. Read More Read Less

Abstract The rapid progress of cloud computing technology has attracted widespread attention, and the importance of microservices architecture is also increasing. In this regard, we studied a new algorithm, Xgboost, which effectively addresses the load balancing issues in the current microservices cluster, thus better meeting user demands. We identified factors that significantly impact load balancing effectiveness through in-depth research on various features. We used ensemble learning to... The rapid progress of cloud computing technology has attracted widespread attention, and the importance of microservices architecture is also increasing. In this regard, we studied a new algorithm, Xgboost, which effectively addresses the load balancing issues in the current microservices cluster, thus better meeting user demands. We identified factors that significantly impact load balancing effectiveness through in-depth research on various features. We used ensemble learning to estimate the load received by each server node, thereby achieving load balancing. Experimental results confirm that our proposed algorithm significantly improves throughput, reduces interception errors, and lowers the system’s average response time compared to other load-balancing algorithms. Read More Read Less

Abstract Music can be heard everywhere in the fast-paced and high-stress modern society. With the development of time, people’s demand for music has shifted from simple leisure entertainment to seeking emotional resonance. To address this, the big data Boruta algorithm has emerged as an alternative to random forest classification algorithms, enabling more precise classification results. By re-implementing it, we applied the LightGBM algorithm to a Turkish... Music can be heard everywhere in the fast-paced and high-stress modern society. With the development of time, people’s demand for music has shifted from simple leisure entertainment to seeking emotional resonance. To address this, the big data Boruta algorithm has emerged as an alternative to random forest classification algorithms, enabling more precise classification results. By re-implementing it, we applied the LightGBM algorithm to a Turkish music dataset and used random forest, XGBoost, and LightGBM algorithms for classification prediction. We found their better applicability to these datasets by evaluating these algorithms’ accuracy, Kappa coefficient, and Hamming distance. Read More Read Less

Abstract This paper introduces the application of the ant colony algorithm in university physical education teaching (such as physical exercises). It also provides new ideas and methods for optimizing the teaching mode through analysing its feasibility and inspiration. The ant colony algorithm is an algorithm based on the behavior characteristics of ants when searching for food, and it can be used to solve problems in university... This paper introduces the application of the ant colony algorithm in university physical education teaching (such as physical exercises). It also provides new ideas and methods for optimizing the teaching mode through analysing its feasibility and inspiration. The ant colony algorithm is an algorithm based on the behavior characteristics of ants when searching for food, and it can be used to solve problems in university physical education teaching, such as selecting sports projects and evaluating students’ physical fitness. Its application can promote the informatization development of university physical education teaching and provide new ideas and methods for optimizing the teaching mode. Applying the ant colony algorithm brings new inspiration to university physical education teaching, helping students choose suitable sports projects and promoting the informatization development of university physical education teaching. Read More Read Less