Numerical Simulation Analysis on Starting Transient Stress Based on Mobile Computing

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Abstract:

Mobile computing environment is relatively complex environment. This paper uses the optimization mathematical model step by step to improve the mobile computing algorithm, and improves the interoperability of mobile computing. And we introduce this model into the starting transient dynamics analysis for athletes, and establish the analysis system of starting transient force and speed. In order to verify the validity and reliability of the system, we use Web development platform to test the system, and use the VC software to calculate the maximum speed of athletes in different pedal angles. Through calculation we find, the instantaneous speed of athletes is different with different pedal angel. When the pedal angle is 45 degrees, the speed of athlete is faster than that in 30 degree and 60 degree. It provides the technical reference for the research on athletes starting running optimization scheme.

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1844-1848

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September 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Jiang Chengli. Adjustment strategy between physical exercise and mental load of junior high school students [J]. China science and technology information, 2011, 2(24): 248-249.

Google Scholar

[2] Jiang Chongmin, Zhang Yimin. Research process and development trend of physical fitness Chinese [J]. Sports science, 2011, 2(9): 26-32.

Google Scholar

[3] Liu Lu. Research on the changing characteristics of cardiac function in adults with different physical fitness [D]. Beijing Sport University, 2010: 2-14.

Google Scholar

[4] Zheng Bifang, Li Zhipeng. Application of ECG IIT/R index in the evaluation of juvenile swimming athletes [J]. Anhui sports technology, 2011, 30(2): 47-49.

Google Scholar

[5] Li Yanjun, Zhang Benqing, Zhou Qianxiang, Yan Hong. Heart rate variability changes with exercise [C]. Dalian: Chinese Space Science Association Seventh Annual Academic Conference Handbook and essays, 2010: 1102-1108.

Google Scholar

[6] Pan Ming, Bai Ming. The value of treadmill exercise test on chronoscopic incompetence in diagnosis of coronary heart disease [J]. Journal of Lanzhou University (Medical Science Edition), 2010, 6(2): 67-69.

Google Scholar

[7] Deng Haisheng, Li Junhuai. Mobile calculation model based on reflective middleware [J]. Computer engineering, 2012, 38(20): 278-281.

Google Scholar

[8] Zheng Di, Wang Jun. Research on adaptation model supporting context awareness [J]. Computer engineering, 2012, 38(2): 39-41.

Google Scholar

[9] Wang Huajin. Review of visualization technology in data mining [J]. Science Plaza, 2011(1): 235-237.

Google Scholar

[10] Li Na. Overview of data mining software products [J]. The popular science, 2010(1): 22-24.

Google Scholar

[11] Deng Qianni, Chen Quan. Cloud computing and its key technology [J]. Application and development of high performance computing, 2011, 26(1): 2-6.

Google Scholar

[12] Xia Wendong, Lin Kai. 3G smart card system fused NFC [J]. Computer engineering, 2011, 3(7): 230-239.

Google Scholar