A K-Means Algorithm-Based Method in IOT Applications for Evaluating the Effectiveness of Physical Exercise in Preventing Youth Rebellion

Abstract

The purpose of this research was to determine the effectiveness of physical exercise in preventing youth rebellion in China. It was determined by using a K-means algorithm based on vignettes, which were collected from various Chinese cities. The analysis indicated that physical exercise had a significant effect on lowering youth rebellion risk, while it had no significant effect on increasing youth rebellion risk. This study suggested that physical exercise can be implemented as a preventive measure in preventing the occurrence and growth of youth rebellion. This article provides an assessment of physical exercise as it relates to lessening the occurrence and growth of adolescent violence, specifically among Chinese youths. It was found that out of the five types of physical exercise (endurance, strength, flexibility, balance, and coordination), endurance exercises were the most effective at reducing youth violence. Also, it was discovered that there was no significant correlation between youth specific types of physical exercise and its effectiveness on lowering youth violence. Adolescence is a critical period in the development of Chinese young people. It is also a time period when many Chinese youths have their first exposure to violent behaviors. Between 1985 and 1999, Chinese adolescent violent crimes have increased five times in number. Furthermore, research has shown that between 26% and 66% of male college students in China exhibit aggressive behavior.