Journal of Intelligent & Fuzzy Systems - Volume 40, issue 2

Authors: Yangsheng, Zhang

Article Type: Research Article

Abstract: College physical education is too one-sided, which makes the teaching process evaluation meaningless. Based on this, based on neural network technology, this article combines artificial intelligence teaching system to build an artificial intelligence sports teaching evaluation model based on neural network. The artificial intelligence model starts from the process evaluation and the final evaluation. Moreover, it uses a recurrent neural network for data training and analysis, and introduces a new decoder to perform data processing, and introduces a simplified gated neural network internal structure diagram to build the internal structure of the model.In addition, this study designs a control experiment …to evaluate the performance of the model constructed in this study. The research results show that the artificial intelligence model constructed in this paper has a good effect in the performance prediction and evaluation of college sports students. Show more

Keywords: Artificial intelligence, physical education, performance prediction, evaluation system

DOI: 10.3233/JIFS-189367

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3271-3279, 2021

Authors: Huang, Jieru | Wang, Tao

Article Type: Research Article

Abstract: The modernization of our country has opened a new era, and the “Internet +” national strategy has gone deep into various areas of people’s livelihood. Faced with many changes in the new situation, a variety of emerging information technologies continue to integrate into the classroom, such as Baidu teaching, Whiteboard, IPAD, flipping classroom, and learning space and so on, which makes the teacher’s teaching method and organization form have very big changes. There is a certain “flip” in the classroom indeed. This study explores the connotation and characteristics of music intelligent teaching and the main factors that affect the formation …of music teachers’ intelligent teaching under the background of “Internet +” education. In this paper, the related strategies of the formation of wisdom teaching are applied through the design of the auxiliary system, in order to optimize the traditional teaching mode by making full use of the network technology, improve the teaching efficiency, and train more and more music talents for the country. Show more

Keywords: “Internet +”, music, wisdom teaching, information technology

DOI: 10.3233/JIFS-189368

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3281-3287, 2021

Authors: Li, Ruisheng

Article Type: Research Article

Abstract: Based on the analysis of the characteristics of artificial intelligence and agent, this paper discusses the feasibility of introducing Web services and intelligent agent technology into online teaching and learning and proposes a modern distance education system model based on artificial intelligence agent technology web. The architecture integrates the advantages of Agent technology and Web services. Starting from improving the shortcomings of the traditional Web-based distance teaching system, it strives to increase learners’ self-directed learning interest, monitor students’ emotions, and exchange knowledge between teaching agents. To realize students’ on-demand learning according to their aptitude, teachers’ teaching ultimately improve the system’s …flexibility, personalization, and artificial intelligence. Under the guidance of learning communities and other theories, construct learner model ontology inference rules. Based on the learner’s relationship characteristics, the knowledge domain that the learner is interested in is inferred, thus constructing an intelligent information retrieval system. Knowledge retrieval is realized quickly and accurately, thereby verifying the application of learner relationship characteristics in digital learning. Show more

Keywords: Artificial intelligence, agent technology, web distance education, system design

DOI: 10.3233/JIFS-189369

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3289-3299, 2021

Authors: Li, Zihao | Wang, Hejin

Article Type: Research Article

Abstract: Traditional physical education in colleges and universities is difficult to arouse students’ interest in sports, resulting in low activity participation rate and inability to exercise the body. How to effectively improve the effectiveness of physical education in colleges and universities has become one of the hot topics of most concern from all walks of life. In physical education, innovative teaching concepts and methods, teaching methods and processes, and teaching evaluation methods are all conducive to improving the classroom atmosphere of physical education and successfully improve the effectiveness of physical education. This article focuses on analyzing the current status of physical …education in colleges and universities. Based on the rapid development of artificial intelligence technology, how to improve the effectiveness of physical education is studied, and an experimental method is used to compare and analyze physical education in a college. The analysis results show that artificial intelligence-based physical education can obviously improve students’ strength quality, speed quality, endurance quality, and agility quality, which provides a more important reference and reference for improving the effectiveness of college physical education. Show more

Keywords: Artificial intelligence technology, college physical education, auxiliary teaching, effectiveness

DOI: 10.3233/JIFS-189370

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3301-3311, 2021

Authors: Cong, Canri | Fu, Dongmei

Article Type: Research Article

Abstract: The focus of this article is to explore the application of artificial intelligence in university sports information services based on the development trend of artificial intelligence technology. Research and analyze the characteristics and functions of new intelligent information service tools, and explore the effects of artificial intelligence in optimizing university sports information services from the three aspects of intelligent evolution information service, intelligent push information, and intelligent retrieval information, and the connotation of intelligent environment Analyze characteristics and technical support to promote the optimization and upgrading of university sports information services, research on the transformation of evaluation methods from manual …evaluation to intelligent evaluation, and from standardized evaluation to differential evaluation, and specifically analyze the connotation of intelligent evaluation and differential evaluation, Features and key technologies, analyze the general process of intelligent evaluation, and summarize the implementation suggestions for intelligent evaluation. And discuss the application of artificial intelligence in university sports information services from scientific decision-making and automated management. Show more

Keywords: Artificial intelligence, college sports, information service, optimization and upgrading

DOI: 10.3233/JIFS-189371

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3313-3324, 2021

Authors: Zhang, Jianye

Article Type: Research Article

Abstract: This article analyzes the reform of information services in university physical education based on artificial intelligence technology and conducts in-depth and innovative research on it. In-depth analysis of the relationship between big data and the development and application of information technology such as the Internet, Internet of Things, cloud computing, to clarify the difference and connection between big data, informatization and intelligence. Artificial intelligence will bring opportunities for changes in data collection, management decision-making, governance models, education and teaching, scientific research services, evaluation and evaluation of physical education in our university. At the same time, big data education management in …colleges and universities faces many challenges such as the balance of privacy and freedom, data hegemony, data junk, data standards, and data security, and they have many negative effects. In accordance with the requirements of educational modernization, centering on the goal of intelligent and humanized education management, it aims existing issues in college physical education management. Show more

Keywords: Artificial intelligence technology, college sports, educational information service, reform and innovation

DOI: 10.3233/JIFS-189372

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3325-3335, 2021

Authors: Guo, Qiang | Li, Bo

Article Type: Research Article

Abstract: The physical health test of college students is an important part of the school physical education work and an important part of the school education evaluation system. It is an educational method that promotes the healthy development of students’ physical fitness and encourages students to actively take physical exercises. It is an individual evaluation standard for students’ physical fitness. It is also one of the necessary conditions for students to graduate. In order to improve the physique and health of college students, this article first introduces functional exercise tests to comprehensively measure the exercise capacity of the main muscle groups …and joints of the human body, and integrate flexibility and strength qualities. Secondly, this article quantitatively studies the interaction law between the natural light environment comfort of sports training facilities and architectural design elements, and adopts appropriate dynamic optimization methods to improve the light environment quality of the sports space, thereby enhancing the visual comfort of the sports crowd in the stadium. Finally, the artificial intelligence technology is introduced, through the design of artificial intelligence system, intelligent data collection, and analysis. From the perspective of physical education, the functional exercise test based on artificial intelligence conforms to the essential meaning of the physical fitness test and helps to enhance the awareness of college students’ physical exercise. And the intelligent remote multimedia physical education system based on artificial intelligence makes the physical education process flexible, free from time and place restrictions, and can adopt different teaching strategies according to the different situations of students to implement personalized teaching. Show more

Keywords: AI, functional sports training, physical education

DOI: 10.3233/JIFS-189373

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3337-3345, 2021

Authors: Zhao, Zhe | Liu, Xingyu | She, Xi

Article Type: Research Article

Abstract: As an advanced training concept, functional physical training is gradually recognized by top athletes for its high training effect and low sports injury. Functional physical training should gradually develop from elite athletes to grassroots athletes, so as to lay a solid foundation for the development of competitive sports. Because particle filtering is susceptible to external factors in moving target tracking, this paper designs a method for sparse coding using local image blocks of the target, establishes a static “impression” and dynamic model for the appearance of the target. The tracking problem is regarded as a binary classification problem between the …foreground target and the background image. During the tracking process, the dual particle filter is implemented to alleviate the tracking drift, so that the algorithm can adaptively capture the changes in the target appearance At the same time, it can reduce the update caused by wrong positioning. The subjects’ FMS test and Y balance test have improved in varying degrees; the pressure distribution of the forefoot, arch, and heel tends to be rationalized, and the ratio of internal and external splayed feet has decreased. Experiments show that this particle filter moving target tracking scheme can adapt to changes in the environment and overcome the inflexibility of the global template when dealing with local changes in the target. Show more

Keywords: Functional sports training, sports target tracking, local sparse expression, particle filter

DOI: 10.3233/JIFS-189374

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3347-3359, 2021

Authors: Wang, Ju-An | Liu, Shen | Zhang, Xiping

Article Type: Research Article

Abstract: This article is based on artificial intelligence technology to recognize and identify risks in college sport. The application of motion recognition technology first need to collect the source data, store the collected data in the server database, collect the learner’s real-time data and return it to the database to achieve the purpose of real-time monitoring. It is found that in the identification of risk sources of sports courses, there are a total of 4 first-level risk factors, namely teacher factors, student factors, environmental factors, and school management factors, and a total of 15 second-level risk factors, which are teaching preparation, …teaching process, and teaching effect. When the frequency of teaching risks is low, the consequence loss is small. When the frequency of teaching risks is low, the consequences are very serious. Risk mitigation is the main measure to reduce the occurrence of teaching risks and reduce the consequences of losses. Show more

Keywords: Artificial intelligence, college sports, exercise risk, cognitive and recognition applications

DOI: 10.3233/JIFS-189375

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3361-3372, 2021

Authors: Wang, Hejin | Li, Zihao

Article Type: Research Article

Abstract: Recently, Intense training in specialized sport among colleges and universities has steadily improved. Although most sportspeople accept that some degree of expertise in sport is required to achieve the elite stage, there is controversy over risk recognition and identification of sports activities in colleges and universities to optimize future performance. There is concern that a young athlete can suffer from sports specialization before adolescence due to various risk factors such as injuries, social tension, and hypertension etc..,. Furthermore, PubMed and OVID are looking to discuss sports specialization and athlete experience-based consensus opinions and position statements based on Universities and Colleges. …Risk recognition and identification tools are developed to identify the locations of athletes within the specialization spectrum using Linear Structural Modeling (LSM). Here, a degree of sports expertise is needed to create elite skill levels to overcome risk factors that have been suggested in the linear model. In most sports, though, such accelerated preparation should be deferred until late adolescence to reduce risk factors. The psychological burden has been analyzed for recognition, and classification based on the case study has been firmly researched in this paper. Show more

Keywords: Novice athletes, social tension, colleges and universities, risk recognition, accelerated preparation

DOI: 10.3233/JIFS-189376

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3373-3383, 2021