Internet of Things and Edge Computing Model Optimization in Physical Training Status and Countermeasures in College Sports Basketball Optional Course

In recent years, people have paid special attention to their own health status and paid more and more attention to the cultivation of physical fitness. People of different ages have begun physical exercises. As a compulsory course in university, physical education has played a very positive role in the health of students. In order to promote the common development of basketball activities in many sports academies across the country and improve the educational quality of basketball majors, with a view to cultivating basketball and football talents in line with the culture and social development of the times, this article investigates and evaluates the basketball activities of sports coaches in many sports academies, discusses the pros and cons of high school sports in basketball and other related fields, and provides references and suggestions for improvement in the reform of basketball activities in some sports academies. The results of the study found that based on the Internet of Things and edge computing models, physical training in college sports basketball optional courses has been greatly improved compared with traditional physical training methods. Adding adaptive scheduling to Core 1, priority 1 and 5 was distributed on Core 2∼5. Priority 2 tasks tend to be more balanced.

Myles Brand’s College Sports Sustainability: “Amateurism”, Finances, and Institutional Balance

As NCAA President, Myles Brand championed three major college sports initiatives: academic integrity, diversity, and sustainability. This paper is about the last. The first step is to distill the elements of college sports that Brand identified repeatedly in his documents and speeches on sustainability. The central elements are the NCAA definition of “amateurism”, athletic department finances, and balance between athletic and academic spending as a part of the university mission. An assessment of these three suggests that NCAA amateurism has changed since his death, in ways Brand stated should raise worries about sustainability. Finances and balance within the university have changed very little over the past ten years and appear sustainable into the future.

Myles Brand’s Collegiate Model and the Post-Amateurism World of College Sports

One of Myles Brand’s key contributions as president of the National Collegiate Athletic Association was the development of what he called the “theoretical model of college sports.” In this paper, we present the theoretical antecedents of the collegiate model in the histories of both sport and higher education. We go on to articulate the definition of the collegiate model of sport as Brand presented it iteratively in public comments. Finally, we situate the relevance of the collegiate model as a policy prescription in twenty-first century college sports.

Amateurism, Professionalism and the Value of College Sports

The value of college sport can be measured in many ways. Most people measure it in dollars, others point to less-tangible benefits such as alumni engagement and campus morale, only a few focus on its educational value. Yet this, as Myles Brand repeatedly recognized, is the value that really counts. Brand’s was something of a voice in the wilderness on this issue—a voice sorely missed in this age of debate about limits on compensation for student-athletes. As a philosophy professor, Brand’s insistence on the educational value of sport follows a tradition begun in ancient Greece by Pythagoras, Socrates, and especially Plato. In this essay, I honor Brand and that ancient tradition by exploring the value of college sport from a philosophical perspective. I interrogate the oppositions of amateurism vs. professionalism, academics vs. athletics, and employment vs. exploitation to arrive at the paradoxical conclusion that ideals of excellence and professionalism are at the heart of “amateurism” in the context of college sport. Education, meanwhile, is the value in college sport that needs to guide all the others—including those that involve dollar signs.

Research on predictive control of students’ performance in PE classes based on the mathematical model of multiple linear regression equation

Aiming to solve the problems in the traditional multiple regression analysis model for predicting college sports performance based on the principles of econometrics, a predictive model that combines genetic algorithm (GA), college sports performance evaluation and regression analysis is proposed. GA is used to conduct dynamic and supervised optimisation evaluation of college sports performance; on this basis, combined with regression analysis and GA's global optimisation capabilities, a complex nonlinear relationship between student sports performance and influencing factors is established; the student's performance is calculated based on the college sports performance. The results show that the method has high prediction accuracy and good stability.

TV Networks for College Sports: Implications for Institutional Subsidies

University athletics because of its reporting structure, regulation by the NCAA, and relationship to the academic enterprise of institutions, provides a unique look into postsecondary institutional behavior. Using a difference-in-difference design, this study tests the introduction of new television networks dedicated to college sports on institutional subsidy levels for athletics. Overall, our findings show that institutions are responsive to the introduction of new college-sports-dedicated television networks. When considering institutions in the Power Five athletic conferences, we find an average decline in subsidy levels of approximately $1.2 million. When considering different types of subsidies, we find significant declines in direct subsidies and student fees, but no significant change for indirect subsidies.

Study on Heart Rate and Energy Expenditure in College Sports Training Based on Multisensor Perception

Heart rate is one of the important indices to calculate and evaluate the intensity and quality of motion. It can scientifically and objectively reflect the intensity level of momentum and exercise in the process of exercise. It is an important index of athletic strength and physical fitness of athletes in college sports training. This paper analyzes the basic metabolic model of the human body and energy supply and demand model and constructs a scientific energy consumption test model for special sports activity. An algorithm for heart rate detection and energy consumption based on acceleration data acquisition is proposed. Therefore, it is proposed to calculate motion acceleration using bone point data obtained from a portable telephone camera sensor for special sports activity and to calculate kinetic energy consumption through detection data. A model for evaluating the proposed algorithm is also established.