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In recent years, with the development and extensive application of Internet technology and computer technology, and under the role of the continuous expansion and enrollment expansion of colleges and universities, how to effectively solve the Internet problems faced by teachers and students in colleges and universities has gradually become an important problem that the university information management department should solve in time. In order to continuously improve the efficiency of Internet access in universities, the Internet authentication and billing system for universities proposed in this paper take J2EE as the development platform and combines RADIUS protocol and PPPoE protocol to provide users with diversified Internet billing methods and strategies. At the same time, based on the Fourier fast transform algorithm, the development environment for the Internet authentication and billing system for colleges and universities is deployed, and after the Internet authentication and billing system is implemented, from the functional point of view of the system, the main functional modules are designed and implemented, including the authentication management function. module, billing management function module. The experimental results have shown that the throughput of PPPoE access server in the campus network using the Fourier rapid transform algorithm for traffic load balancing delay is small and stable between 200 ms and 300 ms after the optimization, which provides a feasible solution to promote the healthy and harmonious development of the university campus network. [ABSTRACT FROM AUTHOR]

College students are the main group of Internet users. With the development of electronic technology and mobile communication technology in China, most college students can easily use computers to access the Internet, and almost all college students use mobile phones, and using mobile phones to access the Internet has become very common in Colleges and universities. The effect is more obvious, and it is easier for ideological and political educators to understand the real situation. In order to further improve the performance of the interest point recommendation algorithm, this paper proposes a time feature-oriented interest point recommendation algorithm. The basic methods of user-based collaborative filtering are given, the functions of spatio-temporal features are described, respectively, the corresponding model representation is given to fuse spatio-temporal features, and a joint recommendation algorithm is proposed. Experiments show that compared with other related algorithms, this algorithm has higher accuracy and recall and is more suitable for the recommendation service of points of interest. [ABSTRACT FROM AUTHOR]

The evaluation method of tennis students' ability has an important influence on optimizing the selection and training of high-level tennis students. Based on the random matrix model theory, this paper constructs an evaluation algorithm for high-level tennis students in colleges and universities. Based on the literature and expert opinions, the model selects professional technical ability, knowledge learning ability, comprehensive development ability, and sustainable development ability as weighting factors and constructs the ability evaluation index system for high-level tennis students in colleges and universities. During the simulation process, the visualization system uses springboot, mybatis, and shiro as the back-end development framework to realize the modules of matrix management, role management, resource management, grade management, course management, student management, model management, etc. It adopts the MATLAB software platform to construct that the tennis learning evaluation includes 6 first-level indicators and 24 second-level indicators. The experimental results show that the final weights of the first-level indicators of tennis learning evaluation are as follows: tennis specific quality is 0.15, tennis sports skill is 0.3, tennis theoretical knowledge is 0.1, progress score is 0.15, attitude to learning tennis is 0.2, emotional performance and the spirit of cooperation is 0.1, and the results are visualized, which effectively improves the effectiveness of the random matrix algorithm in the field of selection evaluation. [ABSTRACT FROM AUTHOR]

In recent years, there have been constant disputes over college student cadres. Starting from the public opinion crisis of College Students' autonomy and using the "K-core" algorithm, this paper found that the college student cadres could not realize their own correct roles. The fuzzy cognitive map (FCM) model was used to analyze 49 influencing factors of N University's retreat action. It is found that the five factors of mass support, ability, ideology and morality, work tasks, and performance evaluation are important factors leading to the retreat action. This research proposes role reconstruction and system rectification strategies for the five variables in order to achieve a true feeling of student autonomy and good governance. [ABSTRACT FROM AUTHOR]