scholarly journals METHOD OF STATISTICAL PROCESSING OF THE RESULTS OF MEASURING THE HYDRAULIC RESISTANCE OF THE PACKING LAYER

2020 ◽  
Vol 1 (14) ◽  
pp. 267-270
Author(s):  
Aleksey Bal'chugov ◽  
Sergey Shevel'
Keyword(s):  
Hydraulic Resistance ◽  
Statistical Processing ◽  
Random Variable ◽  
Packing Layer

The analysis of the method of statistical processing of the results of measuring the hydraulic resistance of the new packing layer as a random variable is presented.

scholarly journals TO THE STATISTICAL ANALYSIS OF SOIL SHEAR TESTS RESULTS

2020 ◽  
Vol 11 (3) ◽  
pp. 8-17
Author(s):  
A. M Karaulov ◽  
K. V Korolev ◽  
L. A Bartolomey ◽  
E. P Bragar
Keyword(s):  
Normal Distribution ◽  
Sandy Loam ◽  
Statistical Processing ◽  
Sandy Soils ◽  
Random Variable ◽  
Soil Strength ◽  
Strength Characteristics ◽  
Shear Tests ◽  
Strength Parameters ◽  
Distribution Law

The result of any shear tests, which are the most popular laboratory methods for determination the strength characteristics of soils, is a set of values of the ultimate shear resistance and the corresponding normal pressure along the shear section. The theoretical background for the analysis of the soil shear tests results is the theory of probability and mathematical statistics. At the same time, we have questions about the determination of the calculation values of soil strength parameters. So, during the processing of shear tests results according to a consolidated-drained scheme for sandy soils the calculation values of soil specific cohesion are often negative, which is incorrect. The article considers an example of processing of shear tests data of sandy loam for various normal pressures, and analyzes the results of statistical processing of soil tests. The normative methods for probabilistic assessment of soil strength characteristics are based on using of normal distribution law of a random variable. It is assumed that the valuesof a random variable can vary from -¥ to +¥, while the soil strength parameters can vary in a limited range, i.e. accept only positive valuesfrom 0 to +¥. This circumstance does not matter for the majority of clayed soils, which strength parameters are far enough from zero. However, it has a significant effect on the result for small sought-for values, particularly, in assessing of specific cohesion for sandy soils. Therefore, for such cases, the article presents a variant of the statistical processing of the shear tests results with using the reduced normal distribution law of a random variable.

scholarly journals Methodical aspects of statistical modeling of two-dimensional systems of random variables

2020 ◽  
Vol 1 (1) ◽  
pp. 43-57
Author(s):  
P. Kosobutskyy
Keyword(s):  
Statistical Modeling ◽  
Random Variables ◽  
Practical Interest ◽  
Statistical Processing ◽  
Random Variable ◽  
Point Of View ◽  
Original Research ◽  
Two Dimensional ◽  
Random Data ◽  
Statistical Regularities

According to the analysis of literature sources, the statistical processing of measurement results is not always given due attention. Unfortunately, appropriate algorithms are often limited to simplified statistical procedures, without the proper justification of the objective function, including to check the quality of processing of random data. Therefore, the author plans to publish a series of articles on statistical modeling, which will include the results of original research by the author and others. In this article are considered the methodological aspects of statistical modeling of two-dimensional systems with random data, physical substantiation of correlation regularities of statistical relations between random variables is given, since or the problem of establishing the law of distribution of random variable has practical interest from the point of view of modeling statistical regularities of model "signal + noise".

scholarly journals Investigation of the influence of the length of the intermediate magnetic circuit on the characteristics of magnetic gripper for robotic complexes of the mining industry

2020 ◽  
Vol 241 ◽  
pp. 46 ◽  
Author(s):  
K. Krestovnikov ◽  
E. Cherskikh ◽  
A. Saveliev
Keyword(s):  
Magnetic Circuit ◽  
Adhesion Force ◽  
Mining Industry ◽  
Statistical Processing ◽  
Random Variable ◽  
Magnetic Core ◽  
Hard Magnetic Materials ◽  
Energy Expenditures ◽  
Operating Environments ◽  
High Degree

The analysis of the existing systems of mechanical grippers of various operating principles and operating environments, in the design of which both soft and hard magnetic materials are executed. The characteristics of existing prototypes are shown and the results of our own research are presented.The article presents a study of the effect of the intermediate magnetic circuit length on the characteristics of magnetic gripper, the principle of which is based on the control of the field of a permanent magnet. The gripper based on this principle of action does not require constant energy expenditures to maintain both on and off states.The description of the magnetic gripper design and the design of the test bench is given, as well as the results of a series of experiments to determine the strength of the release of the gripper at different lengths of the magnetic circuit in the on and off states, followed by statistical processing of the data. The intervals of the ranges in which with a high degree of probability there will be a value of the gripping disengagement force for various lengths of the intermediate magnetic circuit are identified. The nature of the distribution of a random variable, which is the force of decoupling of the gripper, is determined. The dependences of the gripper decoupling force on the length of the intermediate magnetic circuit for each of the gripper states are constructed. It has been established that a decrease in the length of the intermediate magnetic circuit is the cause of a decrease in the gripping adhesion force. Plots of the dependence of the gripper decoupling force were constructed using the modes of the force values varieties to visually display the experimental results. The maximum adhesion force of magnetic pickup – 9.5 kg – was achieved with an intermediate magnetic core length of 50 mm, the minimum with a length of 25 mm – 5.6 kg.  

MS2/Cardio: Towards a Multi-Service Medical Software for Cardiology

1992 ◽  
Vol 31 (01) ◽  
pp. 18-28 ◽  
Author(s):  
C. Combi ◽  
G. Pozzi ◽  
R. Rossi ◽  
F. Pinciroli
Keyword(s):  
Statistical Processing ◽  
Clinical Information ◽  
Daily Practice ◽  
Management Unit ◽  
Record Management ◽  
Medical Software ◽  
Software Packages ◽  
Ambulatory Patients ◽  
Patient Database ◽  
Individual Program

Abstract:Many clinics are interested to use software packages in daily practice, but lack of integration of such packages seriously limits their scope. In practice this often entails switching between programs and interrupting the run of an individual program. A multi-task approach would not solve this problem as it would not eliminate the need to input the same data many times, as often occurs when using separate packages. The construction of a Multi-Service Medical Software package (MSx2) is described, which was also developed as an example of practical integration of some clinically relevant functions. The package runs on a personal computer in an MS-DOS environment and integrates a time-oriented medical record management unit (TOMRU) for data of ambulatory patients, and a drug information management unit (DIMU) concerning posology, content, effects, and possible interactions. Of the possible database configurations allowed by MSx2, the cardiology patient database (MSx2/C) and hypertensive patient database (MSx2/H) were developed and described here. Clinical information to be included in the configurations was obtained after discussion and consensus of clinical practitioners. MSx2/C was distributed to several hundred clinical centers during computerized courses to train future users. MSx2 can easily transfer patient data to statistical processing packages.

Generation of Correlated Logistic-Normal Random Variates for Medical Decision Trees

1998 ◽  
Vol 37 (03) ◽  
pp. 235-238 ◽  
Author(s):  
M. El-Taha ◽  
D. E. Clark
Keyword(s):  
Monte Carlo ◽  
Decision Trees ◽  
Computer Algebra ◽  
Taylor Series ◽  
Computer Algebra System ◽  
Random Variable ◽  
Monte Carlo Analysis ◽  
Normal Random Variable ◽  
Medical Decision ◽  
Theoretical Results

AbstractA Logistic-Normal random variable (Y) is obtained from a Normal random variable (X) by the relation Y = (ex)/(1 + ex). In Monte-Carlo analysis of decision trees, Logistic-Normal random variates may be used to model the branching probabilities. In some cases, the probabilities to be modeled may not be independent, and a method for generating correlated Logistic-Normal random variates would be useful. A technique for generating correlated Normal random variates has been previously described. Using Taylor Series approximations and the algebraic definitions of variance and covariance, we describe methods for estimating the means, variances, and covariances of Normal random variates which, after translation using the above formula, will result in Logistic-Normal random variates having approximately the desired means, variances, and covariances. Multiple simulations of the method using the Mathematica computer algebra system show satisfactory agreement with the theoretical results.

Selective statistical estimates of multi-year monthly concentrations of biogenous pollution of small rivers of the Northwest zone of the Russian Federation

2020 ◽  
pp. 9-13
Author(s):  
Sergey Kovalenko
Keyword(s):  
Statistical Processing ◽  
Point Of View ◽  
Small Rivers ◽  
Statistical Parameters ◽  
Monthly Data ◽  
Statistical Estimates ◽  
Scientific Task ◽  
The Russian Federation ◽  
Agricultural Areas

The management of surface watercourses is an urgent scientific task. The article presents the results of statistical processing of long-term monthly data of field observations of hydrological and hydrochemical parameters along the Upper Yerga small river in the Vologda region. Sampling estimates of statistical parameters are obtained, autocorrelation and correlation analyzes are performed. The limiting periods from the point of view of pollution for water receivers receiving wastewater from drained agricultural areas are identified.

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