THE INFERENCE METHOD OF WHEEL LOAD BASED ON THE ACCELERATION OF AXLE HEAD by ZHENG SongLin, GUO ZhengXiang, FENG JinZhi, FANG Jin, SHEN YongFeng

“…By using real-time signal transformation and mathematical statistics method,the collected load spectrum of vertical wheel load and the vertical acceleration of the axle head,an inference model were analyzed and discussed between the axle head and the wheel.The analysis method was validated by a reality car test. …”
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Fostering the Informational Competence of Students in Engineering Profils by G. A. Krutchinina, V. A. Shilova

“…In the course of experimental research, the methods of mathematical statistics, theoretical and empirical analysis were applied. …”
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Method for Information Security Events Detection in a Cloud Signature Systems by V. A. Gerasimov, O. V. Boyprav

“…It is recommended to base the method on the mechanisms of mathematical statistics in relation to the listed parameters. …”
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Students‘ attitudes in the perception of broadcast advertising meanings by Ekaterina E. Belousova

“…The results were processed using the methods of mathematical statistics: descriptive statistics were used; as well as nonparametric tests for comparing several independent samples, the Kruskal-Wallis H-test, for studying the relationships between the scales of V.Yu. …”
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STATISTICAL ANALYSIS OF FATIGUE CRACK GROWTH TEST DATA FOR 2024-T62 ALUMINUM ALLOY by WANG XuHu, WANG HuoPing, WANG DongFei, DOU XiaoPeng

“…The fatigue crack growth tests for 2024-T62 aluminum alloy were conducted under three stress levels, the dispersion of fatigue crack growth were analyzed by using experimental data based on mathematical statistics. The analysis results indicate that the experimental data of fatigue crack growth obey the log-norm distribution. …”
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Analysis Technology of Tennis Sports Match Based on Data Mining and Image Feature Retrieval by Hong Huang, Risheng Deng

“…Moreover, this paper combines data mining technology to obtain effective data from massive video and image data, uses mathematical statistics and data mining technology for data processing, and scientifically analyzes tennis game technology with the support of ergonomics. …”
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METHOD FOR DETERMINING THE CRITICAL POINT OF ELASTIC⁃PLASTIC OF M⁃B MODEL by CAO HongJun, ZHU Min, WANG ShengAo, DENG LiChongYang, MA DeSheng

“…The determination of the elasto⁃plastic critical point is very important for the study of the rough surface contact problem.In order to solve the shortcomings of the existing M⁃B model elasto⁃plastic critical point determination method,the characterization value is unmeasurable and difficult to apply.Based on the basic model of fractal theory,the distribution function and probability distribution density of asperity truncated area were obtained by means of mathematical statistics.Combined with the ideal elastic and plastic contact models of Hertzian contact,the normal force model in the process of plane⁃plane contact with fractal characteristics was obtained.Based on the difference between the actual contact area and the cut⁃off area during plastic deformation,a correction factor was proposed,and a method for determining the elasto⁃plastic critical point with the critical normal force as the characterization quantity was finally obtained.The new method takes the normal force as the characterization quantity and needs to be obtained through calibration experiments,which is more operational and credible.…”
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Fatigue Life Simulation and Analysis of Aluminum Alloy Sheet Self-piercing Riveting by Qingchun Zheng, Naixin Wang, Peihao Zhu, Jingna Liu, Wenpeng Ma

“…Finite element software ABAQUS and fatigue analysis software FE-SAFE are used to study the effects of roughness and residual stress on the fatigue life of self-piecing riveting components through finite element simulation and mathematical statistics multivariate orthogonal regression experiment. …”
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The Foundations of Probability with Black Swans by Graciela Chichilnisky

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Research on Characteristics of Rainfall at Zhuzhou Hydrological Station in Xiangjiang River in Recent 60 Years by YANG Fang, YANG Pan, LU Lu, XIONG Yu

“…Based on the rainfall series data of Zhuzhou Hydrological Station in Xiangjiang River from 1955 to 2016, this paper analyzes the regional rainfall characteristics by the mathematical statistics, linear trend, 5 year moving average method, Mann-Kendall test, sliding t test and wavelet analysis. …”
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Assessment of Economic Effectiveness of Competing IT-projects: Approaches and Mathematical Tools by E. V. Vasileva, E. A. Deeva

“…The article presents examples of results of expert opinion for estimation of expected cash flows, considering the risks when investing in competing projects, based on the methods of mathematical statistics. Describes the conditions of the solution of a multicriteria problem of choice of one it project of the alternatives, based on economic sense of indicators of risk. …”
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Prevention and Treatment of Sports Injuries and Rehabilitative Physical Training of Wushu Athletes by Shenghai Wu, Xin Luo

“…By searching literature, conducting questionnaires, and combining mathematical statistics, it studies the injury prevention and rehabilitation training of Wushu athletes. …”
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On novel security systems based on the 2-cyclic refined integers and the foundations of 2-cyclic refined number theory by Mohammad Abobala, Hasan Sankari, Mohamed Zeina

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Application of Linear Regression Mathematical Model in the Evaluation of Teachers’ Informatization Quality by Shuping Li, Xinlei Yuan

“…This paper uses regression analysis to evaluate the teacher education information system and uses mathematical statistics to establish a linear regression model for the city and analyze and calculate it. …”
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Research on Shield Tunnelling Parameters Correlation in Composite Strata by Ziqi Guo, Huipeng Zhang, Xiaoyang Shi, Zhi Huang, Yiyong Xu, Zhiqiang Zhang

“…Based on the tunnel project between the Dinggong Road North Station and the People’s Park Station online 4 of Nanchang Metro during shield tunnelling construction, this paper collects thrust, torque, and revolution speed of the cutterhead during shield tunnelling in the complex strata with differentiated argillaceous siltstone and gravel and analyzes these parameters by means of mathematical statistics analysis, in order to explore the interrelationship between shield tunnelling parameters under different stratigraphic conditions and put forward optimization suggestions for tunnelling parameters, which can provide a reference for control of tunnelling parameters of earth pressure shield in composite strata.…”
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Correlational Relationships between Various International Rankings for Higher Education Institutions by V. A. Gaisenok, O. A. Naumovich, V. V. Samokhval

“…Data on the number of the participants in the World Rankings has been presented for the Webometrics Ranking of World Universities (WRWU), Academic Ranking of World Universities (ARWU), Quacquarelli Symonds (QS), Times Higher Education (THE), U-Multirank, Round University Ranking (RUR), the Moscow International Rating “Three University Missions”, SCImago Institutions Rankings (SIR).The correlations have been studied by the methods of mathematical statistics for the results of the Moscow International Rating “Three University Missions” and the RUR, QS, THE, and the WRWU rankings; of the QS rankings with THE and the WRWU rankings, as well as for the two WRWU rankings published in January 2018 and July 2017. …”
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Human Resource Allocation Based on Fuzzy Data Mining Algorithm by You Wu, Zheng Wang, Shengqi Wang

“…Data mining involves multiple technologies, such as mathematical statistics, fuzzy theory, neural networks, and artificial intelligence, with relatively high technical content. …”
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The phenomenon of children’s emotional burnout in a children’s health camp by S. E. Panina, A. V. Nikitin, N. Yu. Samykina

“…To achieve it, the authors proposed and implemented the following tasks: 1) to highlight the specific features of summer camps as an educational environment; 2) to determine the preconditions leading to the emotional burnout of children in the educational environment; 3) to adapt the methodology for diagnosing emotional burnout of children; 4) to measure the levels of emotional burnout at the beginning and at the end of the session in camp and to compare the identified indicators using methods of mathematical statistics (Student’s t-test for dependent samples). …”
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Study on Spatio-Temporal Variation of Runoff in Flood Season in Hanjiang River Basin by WANG Dong, WU Dongdong, XIE Xiaobai, LI Xuehui

“…Based on the average daily flow data of five typical hydrologic stations from 1956 to2016 in the Hanjiang River Basin, this paper analyzes the spatio-temporal vibrationcharacteristics of runoff in flood season by means of mathematical statistics, establishes the VICmodel applicable to Hanjiang River Basin according to the hydrometeorological data, DEM, soil typeand vegetation cover data, and analyzes the spatial distribution characteristics of runoff inflood season based on runoff simulation results of the VIC model. …”
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Analysis for Spatial Heterogeneity of Water Quality of Rivers in Mingcheng Town by ZHOU Xuexin, ZHAO Xiaochen, ZHANG Shu, GE Xiaoxia

“…To protect and improve the water environment,this paper takes rivers and Gaoming river in Mingcheng Town as research objects,researches the current status of the water environment of 36 monitoring sections,analyzes the spatial variation of six water quality indexes i.e.DO,COD_Mn,COD,BOD₅,NH₃-N and TP by GIS technique and mathematical statistics method,and discusses the influence of land use types on spatial variation of water quality.The results of research show that:the overall water quality of rivers in Mingcheng Town was poor.Water quality indexes showed significantly spatial variation,and the coefficient of variation of NH₃-N and TP was higher than other water quality indexes.In terms of space,compared with other research units,R7 water quality was poorer.Part of the water quality indexes showed obvious spatial concentration and positive spatial autocorrelation.In wet season,there was a significant correlation between land use types such as vegetation,cultivated land and water area and water quality indexes.The agricultural runoff pollution and aquaculture pollution may be the important factors that affect water quality.In dry season,there was no obvious correlation of land use types with water quality indexes.The poor water quality may be caused by the domestic pollution sources,industrial pollution sources and agricultural non-point sources.…”
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