With the awakening of people's health consciousness, the concept and practice of health promotion has become the main target of health policies throughout the world. In this study, the relationship between physical education and health promotion was examined. Art students from a university in Taoyuan were selected for research, and a total of 320 questionnaires were issued. Invalid and incomplete questionnaires were eliminated, with a total of 227 valid questionnaires. Finally, the LISREL (Linear Structural Relations) model was used to analyze the correlation between various factors and health promotion. The results of the model analysis show that in terms of basic fit, the three factors of physical education (course design, teaching content, and activity design) have a high correlation with the influence of physical education, reaching a significant level (t > 1.96, p < 0.05). In terms of influence on sports participation, the three factors (physiological factors, psychological factors, social factors) of sports participation reached a significant level (t > 1.96, p < 0.05). The two factors of health promotion (physiological health, and mental health and practical ideas) have a high correlation with the influence of health promotion, reaching a significant level (t > 1.96, p < 0.05). In terms of overall mode fit, the overall mode fit standard χ2/Df was 1.344, less than the standard value of 3 or less, and the RMR value was 0.007, indicating that the χ2/DF and RMR result standards were appropriate, and the chi-square value was very sensitive to the sample size. Therefore, there was a positive correlation among physical education, sports participation, and health promotion. In conclusion, physical activities can improve the human body's immune function, reduce the symptoms of chronic diseases, and positively promote health. The research result is important for emphasizing the benefit of sports to art students, and provides reference for improving the quality of school physical education, and the physical and mental health level of people in Taiwan.
Sports videos are blowing up over the internet with enriching material life and the higher pursuit of spiritual life of people. Thus, automatically identifying and detecting helpful information from videos have arisen as a relatively novel research direction. Accordingly, the present work proposes a Human Pose Estimation (HPE) model to automatically classify sports videos and detect hot spots in videos to solve the deficiency of traditional algorithms. Firstly, Deep Learning (DL) is introduced. Then, amounts of human motion features are extracted by the Region Proposal Network (RPN). Next, an HPE model is implemented based on Deep Convolutional Neural Network (DCNN). Finally, the HPE model is applied to motion recognition and video classification in sports videos. The research findings corroborate that an effective and accurate HPE model can be implemented using the DCNN to recognize and classify videos effectively. Meanwhile, Big Data Technology (BDT) is applied to count the playing amounts of various sports videos. It is convinced that the HPE model based on DCNN can effectively and accurately classify the sports videos and then provide a basis for the following statistics of various sports videos by BDT. Finally, a new outlook is proposed to apply new technology in the entertainment industry.
Abstract. Machine tool stiffness is a principal factor affecting machine tool precision, traditional methods can only be used to detect limited categories of machine tools. The paper introduces a new scheme to detect machine tool stiffness on the basis of dynamic detection of machine tool stiffness considering its characteristics and stress state during processing. An experiment conducted in turn-milling machining center CH7516GS indicated by comparison that statics analysis of finite elements matched the experimental result well, which provided precise original data for design of improved machine tool precision and access to design of precision detection equipment for other types of machine tools.
Abstract. This paper provides automatic design for high-gravity oil railway tank feeding system of some refinery uses distributive control system. The system adopts the automatic system of Modicon TSX Quantum or PLC as monitor and control level and uses a PC-based plat form as principal computer running on the Microsoft Windows2000. An automatic control system is developed in the environment of InTouch configuration software. This system implements automatic high-gravity oil tank feeding with pump controlling function. And it combines automatic oil feeding controlling, pump controlling and tank monitoring function to implement the automation of oil feeding with rations and automatic control.
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