In this work, the technology of layer-by-layer concrete pouring and construction of 3D printers was studied. The degree of freedom of the working body of a 3D printer in the design, which allows the print head to move along a given trajectory, directly affects the pouring of layered concrete from a simple parallel shape to a complex shape relative to the ground. The designs of 3D printers in construction are analyzed in detail, the features of each design are considered, their advantages and disadvantages are analyzed. Almost all of the considered designs of 3D printers are taken from real projects. In addition, the dimensions and features of work areas that can be provided by construction 3D printers during construction are discussed, as well as their direct impact on the shape, complexity and size of the building under construction.

At present, the human impact on the biosphere is global in nature, in connection with which the issues of environmental pollution by many toxic substances, including heavy metals, have become very urgent. The long period of self-cleaning of contaminated soils and the high cost of their technogenic cleaning make mankind look for new ways to solve this problem. The identification of plant objects characterized by a minimal accumulation of heavy metals is the most promising direction in this area. The aim of our study is to determine the tolerance of wheat genotypes to severe metals, priority in the East Kazakhstan region, as well as identification of donors for breeding for metal resistance and promising forms of wheat. The object of research in this work is the genotypes of spring wheat from the collection of the East Kazakhstan Research Institute of Agriculture: GVK (East Kazakhstan genotype) -11/14, GVK-19056, GVK-19055, GVK-19012, GVK-19009.

In the sources of scientific literature, there is still little systematic data on the phase equilibria, possible forms and compositions of arsenate compounds formed during pyrolysis, and the kinetic characteristics of the processes occurring. Despite the fact that such approaches have been sufficiently developed in practice, the increase in the arsenic content in primary raw materials has already made its own adjustments and requires additional research both in terms of the theory of phase equilibria of oxides and arsenate-arsenite compounds, and in terms of using the new data obtained to develop optimal solutions for practice. The results of thermogravimetric investigations of the synthesized calcium arsenate and its mixture with pyrite in the atmosphere of air, nitrogen and vacuum. The mechanisms of dehydration Arce-coordinate of calcium and sulfiding pyrite during heating. Calculated values of apparent activation energies of the processes.

In recent years, the scientific and technical literature has been actively discussing ideas for creating digital twins to solve a wide range of problems that arise before enterprises of various kinds. Advances in information technology and the development of essential software are indeed delivering important new results through the creation of digital twins. The article discusses a proposal for the construction of a network of digital twins used as models for solving a number of urgent problems in complex telecommunication systems. Two applications are considered as examples of such tasks. The first application is the organization of information feedback for enterprises engaged in the life cycle of a telecommunications network: "the formation of modernization principles, equipment development, design, construction, operation." The second application is traffic monitoring, including its atypical behaviour in order to avoid repeating erroneous actions in the event of abnormal situations.

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.