Vol 11, No 16 (2023)
- Year: 2023
- Published: 24.11.2023
- Articles: 10
- URL: https://ogarev-online.ru/2311-2468/issue/view/17544
Full Issue
Implementation of an algorithm for finding the resolvent of a matrix using the adject matrix and characteristic polynomial
Abstract
The article describes the implementation of an algorithm for calculating the resolvent of a matrix using the adjoint matrix and the characteristic polynomial of the matrix in Python. The graphs show the speed of the algorithm for various matrix dimensions.
Applying random forest algorithm for automating classification of soil categories
Abstract
The article discusses the creation of a machine learning model to solve the problem of soil classification using an ensemble of random decision trees (random forest) to automate the determination of soil categories with maximum accuracy based on the data available about them, including such characteristics as soil density, humidity, fractional composition and others. The user interface of the developed software and information system for conducting predictive analytics using the resulting model is also presented.
On a nonlinear integro-differential equation
Abstract
The paper illustrates the mutual influence of the effects of nonlinearity and nonlocality, namely, an exact solution of the Cauchy problem for a nonlinear integro-differential equation is found, which has the following property: a change in the sign of a bounded initial condition in finite time leads to an unbounded increase in the modulus of the corresponding solution. A general solution of the Cauchy problem for the equation under consideration is obtained, and a method for expanding the Laplace transform tables by two variables using partial solutions of this equation is demonstrated.
Development of a module of a software and information system for the study of dependencies between indicators of heart rate variability of athletes by factor analysis
Abstract
The article describes the module of the software and information system developed by the authors and designed to study the dependencies between the indicators of heart rate variability of athletes by factor analysis. To carry out factor analysis, the principal component method is used, as well as the orthogonal rotation method in conjunction with the Bartlett sphericity test and the Kaiser method. The results of the analysis are matrices of eigenvalues of factors, matrices of factor loads and ring diagrams of significant factors.
Application of KNIME Analytics Platform tools to analyze the compliance of syllabuses with the requirements of employers
Abstract
The article considers the use of the KNIME Analytics Platform toolkit for text analysis in pdf documents. The implementation of the algorithm for analyzing the syllabuses of academic disciplines for compliance with the requirements of employers is described.
Development of software information system to automate maintenance of personal documents archive using tag system
Abstract
The article presents the software information system developed by the authors and designed to automate the process of maintaining an archive of personal documents using a tag system to improve the efficiency of data filtering. The implementation of the integration of the developed web application with Yandex Disk is described.
On the application of WENO schemes to modeling reacting gas flows
Abstract
The 5th and 7th order WENO schemes with optimal weight coefficients without solution's smoothness indicators and with solution's smoothness indicators are investigated in the article. It is shown that the 5th order WENO scheme with optimal weight coefficients gives a more accurate result with less complexity of calculations to solve problems of multicomponent gas dynamics with chemical reactions, diffusion, viscosity and thermal conductivity.
Development of software and information system for evaluation of accuracy and reliability of clock mechanisms
Abstract
The article describes the software and information system developed by the authors and designed for use in workshops for the repair and maintenance of mechanical watches. The features of the proposed system include an assessment of the accuracy of clock mechanisms by analyzing the sound of the watch as well as an assessment of their reliability using statistical analysis of repair work of a large sample of mechanisms passing through the watch service.
Using OpenCL technology for structured grid computing using GPU
Abstract
In this article the possibility of using OpenCL technology for parallel calculation of a numerical solution using the example of a two-dimensional heat conduction problem is discussed. The features of programming in the paradigm of task and data parallelism are considered. The standard difficulties and methods built into OpenCL for solving them when building a program for calculations on multidimensional grids are shown. For the CPU, a similar single-threaded program was implemented in C++20, and the performance was compared.