
Non-stationary boundary value problems of uncoupled thermoelasticity are considered. A method of boundary integral equations (BIME) in the initial space-time has been developed for solving non-stationary boundary value problems of thermoelasticity under plane deformation. On the basis of the method of generalized functions, generalized solutions of boundary value problems are constructed using the Green's function for the heat equation and the Green's tensor of the Lame equations under the action of non-stationary power and heat sources of various types. Integral representations of the solution of boundary value problems are obtained. These solutions allow, based on known boundary values and initial conditions (displacements, temperature, stresses and heat flux), to determine the thermally stressed state of the medium under the influence of various power and thermal loads. Resolving boundary integral equations are constructed to determine the unknown boundary functions.

As a result of a review of articles devoted to predicting these ailments, shortcomings in the diagnosis of an early stage were identified. Health care workers diagnose coronary heart disease relying on the values of the electrocardiogram, blood test and others, but the human factor cannot be noted, and as practice shows, there is a huge risk of incorrect diagnosis of patients at an early stage. According to the World Health Organization, “Coronary disease” (CVD) is the leading cause of death worldwide - more people die from CVD every year than from any other disease. There are a huge number of decision-making methods for early diagnosis of coronary heart disease (CHD), including machine learning technologies. This article is devoted to the study of the work of neural networks using correlation analysis of signs to predict the risk of developing coronary heart disease.

In this work presents a system of an automatic algorithm for analyzing images and other signals that can significantly help cardiologists in processing large amounts of data or data that require significant processing time). The analysis of heart rate variability, as well as the ECG waveform allows you to diagnose various diseases, including at an early stage, and determine specific physiological conditions, for example, the presence of physical activity now. The aim of this study was to develop a new effective method for detecting arrhythmias using image segments of ECG signals. At the first stage, image processing takes place, to identify noise in the image, data categories are allocated. At the second stage, the identification of the norm, a deviation from the norm and a critical deviation from the norm, which will allow predicting the early development of the disease and identifying diseases in patients.

In this paper we present the derivation of new one-dimensional non-stationary nonlinear system of moment equations and an approximation of the microscopic boundary condition when part of molecules reflect from the surface specularly and part diffusive with Maxwell’s distribution. Macroscopic boundary conditions for the system of moment equations depend on the evenness and oddness of the approximation , where is the partial sum of expansion of the distribution function of molecules into eigenfunctions of the linearized collision operator. The formulation of the initial and boundary value problem for the system of moment equations in the third approximation under the Maxwell-Auzhan macroscopic boundary conditions is given. To analyze aerodynamic characteristics of aircraft in transient regime was used complete integro-differential Boltzmann equation, which contains a term depending on the moving speed of aircraft, and under Maxwell's microscopic boundary conditions, depending on the surface temperature.

Machine translation is the technology of consecutive translation of texts from one language to another by a computer program. As a result of machine translation, there are always certain disadvantages that can be solved by post-editing. Post-editing-human processing of text after machine translation. Today, many language providers are actively developing this field, developing methods of training editors and post-editing methods. The article provides an overview of existing methods for finding unknown words in post-editing machine translation. In this paper, we consider the problem of determining unknown words in post-editing machine translation for the Kazakh language. The analysis of existing methods for finding unknown words in post-editing machine translation is carried out. A model for the development of unknown words in post-editing machine translation for the English-Kazakh and Russian-Kazakh languages, practical results and software implementation are presented.

This article examines the current state of the science of the causes of digital signal distortion. Cellular and radio relay communications, data transmission over computer networks, digital radio broadcasting and television, presented in various and diverse formats, covered all countries of the world. The high quality of communication, relatively low costs for its organization and, therefore, accessibility to the general population of all countries, ensured this success. Modern digital communication systems use all the mastered frequency ranges, different types of modulation and signal processing methods. A real wireless communication channel has time-frequency scattering, which leads to inter-character (MSI) and inter-channel (MCI) interference. By itself, this phenomenon does not lead to big problems, because there are quite a lot of effective methods of fighting. At the present stage, for channels with time-frequency scattering, multiplexing (compaction) with orthogonal frequency division (OFDM - Orthogonal Frequency Devision Multiplexing) is considered the best. The article presents methods of combating distortion, noise-resistant channel coding, the use of OFDM, FBMC, UFMC.

Article about the convergence of the Kazakh language with technologies. Because in the future, all the world around us will be closely connected to technology. It is as if new words in everyday life, new positions being formed, are the messenger of transformation.Information technologies and the development of the Internet strengthen communication links between members of society. This, in turn, led to the consolidation and accumulation of highly developed digital information. In fact, information exchange is not only a technological connection, but also a complex linguistic phenomenon.Problems such as people use of lingual means tongue, the use of phrases, understanding the structural data environment, have become a significant field of linguistic knowledge, combined with linguistics and computer science arose the subject area of computational linguistics.

Timely detection of deformations associated with geological hazards or subsidence of the ground in the sections of the construction of subways can save lives, prevent large financial obligations and avoid serious damage to the environment. Currently, Global Navigation Satellite Systems (GNSS) are considered as one of the solutions to problems in the field of monitoring and predicting deformations of buildings and structures. GNSS technologies have recently been used to monitor the deformations of high-rise buildings, bridges and dams to assess infrastructure, and the movement of the earth's crust. New improvements to the GNSS instruments allow monitoring with high accuracy in real time and with 24-hour availability.

Kazakhstan possesses a mineral-raw-material base of the world scale. This is the future of its economy and prosperity, almost the only indicator of the diversification of production, the departure from the commodity orientation to the high-tech industry. Therefore, ensuring the stability of the sides of the quarry is a complex problem. In order to ensure the safe development of mineral deposits, it is necessary to create a stable predictive geomechanical model using modern computing technologies. The article discusses the method of creating a map of the stability of the sides of the quarries using GIS technologies. The concept of the technology of creating a stability map and the possibility of its adaptation to simulate the development of open-pit mines of ore deposits are given. The results obtained ensure the industrial and environmental safety of subsoil development.

The article presents data on the study of changes in soil cover under the influence of human activity. The results of the conducted studies on the determination of the humus content and pH level, the content of heavy metals in technogenically disturbed soils in the adjacent territory of the natural gas processing enterprise are presented. The obtained data on the content of gross and mobile forms of heavy metals indicates that the maximum permissible concentration level for these pollutants is not exceeded.