The article briefly describes the role of wear-resistant coatings in modern industry, shows the wear-resistant coatings of various types for applications in various industries. The basic methods and types of application of wear-resistant powders are also given. The main theories of studying the adhesive properties of metallic and wear-resistant materials are considered. Based on the research, promising areas were identified, the creation, standardization of innovative technologies to improve the durability of equipment and parts.

In this paper we propose technology for producing a reagent based on butyl alcohol, fatty acids and maleic anhydride, which has depressant activity and significantly reduces the pour point o f high-paraffin crude oils. We demonstrate the usage of a new material including the fatty acids of cotton soap stock, mainly of thedistillate fraction with the number of carbon atoms C₁₆-C₁₈ for their esterification with butyl alcohol and the formation of esters. The resulting reagent based on esterifiedfatty acids and maleic anhydride (EFMA) shows depressant properties when added to crude oil with high paraffin content. The obtained reaction products were identified using IR spectroscopy on a Shimadzu IR Prestige-2 FTIR spectrometer. These data allowed to establish the structure of esterification reaction. We also studied the morphology of the crystals ofparaffins in crude oil without and with depressor additives. On the basis of the experimental data we demonstrate that the depressant activity of the EFMA reagent at a dosage of 0.1-0.4 mass% is 25-27 °C for high paraffin oils. The proposed reagent, when injected into crude oil samples also reduces their kinematic viscosity.

The article presents the analysis results of environmental problems arising from operation of landfills and disposal of solid domestic waste. The analysis results of gas pollution resulting from physical and chemical, biochemical and other processes in the body of solid domestic waste landfills and their effects on the state of environment are also presented. The results of model experiments are presented, which allow revealing the role of some main components of SDW in the processes of synthesis of greenhouse and other gases.

When choosing a method of analysis, you first need to know the tasks and goals, the advantages and disadvantages of the method of analysis. The ain factors when choosing a method and methodology are the limit of definition, sensitivity and reproducibility. In order to determine these characteristics and select the most appropriate analysis methodology, a number of studies were conducted. To determine molybdenum (VI), the rhodanide, peroxide methods, and the method of determination in the UV region were used. For each technique, a series ofanalyzes was performed and calibration graphs were constructed, and the coefficients of confidence of the approximation were found. The determination of molybdenum in the UV region was checked and the spectra of molybdenum were obtained at various concentrations. Comparison of methods for determining molybdenum (VI) was carried out by finding the minimum concentration and sensitivity coefficients. Based on a comparison of the sensitivity of different methods and the assessment of the metal content in the sample under investigation, the most optimal method was chosen.

Purpose of the work is the study of the electrochemical properties of perrhenate ions in an electrolyte of nitrate. Ithas been establishedthatin nitric acidsolutions, rhenium dioxide isformedas a resultofthe electrochemical reduction of perrhenate ions. During electrooxidation of sediment in anodic current-voltage curves, the potential is one anode peak: Е=+0.40 V. It can be assumed that the limiting stage of the processes of both the anodic and cathodic processes is the delivery of the substance to the reacting surface. On the basis of the obtained laws, it was shown that the perrhenate ion is adsorbed on the shungite electrode, depending on the values of the potentials.

The fuel oil of the M 100 brand and its physical and chemical properties are researched in the study. A depressant based on stearic acid andphthalic anhydride is used in order to improve the performance properties offuel oil. It is shown that after the injection of the additive, the heat of combustion, the pour point, the coking behavior of fuel oil are improved.

At this time, the world has created many different algorithms for recognizing hand gestures. In this paper, the authors reviewed and proposed various gesture recognition algorithms to determine the best among them in terms of speed and quality of recognition. The algorithms like K Nearest Neighbors, Decision Trees, Logistic Regression was compared with two methods of representation pictures. The results showed us that the Logistic Regression with using Raw pixel method better than other algorithms.

This paper discusses the creation of a control and monitoring system for the operation of a solar collector based on the use of the Mojo v3 platform. A measurement of 6 digital sensors (DS18B20 Dallas), mounted in the collector system with 16 wires, is provided. Offered software with IEEE library on Mojo v3. Using Dallas sensors and the appropriate software, you can monitor the temperature and the amount of heat in the system. Software included in the Mojo v3 database is implemented in the language (VHDL, VERILOG).

Currently, all over the world, companies are conducting statistics on the work of emergency incidents of an enterprise. Kazakhstan tries to fit an international standard in the field of industrial safety and introduces preventive measures. These include preparation of documentation for the prevention of accidents and deviations from the process regulations (emergency response plan and process regulations), training sessions, training of personnel in the field of industrial safety, instructing, etc. These goals require quite a bit offinancial expenditure, but human life and the preservation of the environment cannot make up any money. Constantly, the demands on labour and its quality are increasing, as well as in connection with new market relations, with the dictates of the world market, that high professionalism and competence of production personnel are the basis o f the economic stability of the Company. This article analyzes the injuries in the oil and gas company “Kazakhoil Aktobe” LLP, located in the Mugalzhar district Aktyubinsk region Republic of Kazakhstan, in the period from 1999 to 2018. This study was conducted according to the statistical methodfor analyzing injuries. As a result, it was established that the most dangerous places of the company in terms of safety are the production workshops, and the most dangerous profession is the operator of technological installations. These statistics and preventive works for warning the accidents, incidents, prevent accidents and ensure the readiness of the facilities of “Kazakhoil Aktobe” LLP to localize and eliminate the consequences o f accidents at a hazardous production facility are conducted by specialists of the Department o f labour protection and environment of “Kazakhoil Aktobe” LLP.

The present work investigates several questions related to hyperimmunity and A-computable Friedberg numberings of families of total functions. It is shown that if F is an infinite A-computable family of total functions, where A is an arbitrary set, then F has an A-computable Friedberg numbering; for every hyperimmune set A there exists a non-recursive A-computable set B; and also, that if F is an infinite A-computable family of total functions, where A is a hyperimmune set, then F has infinitely many pairwise nonequivalent A-computable Friedberg numberings.

In the given article vehicle monitoring detector is considered as a tool for data collection, which is later used for experiments on adaptive traffic light control systems for planning and forecasting traffic. The report presents the categories of traffic detectors and their comparative analysis.

Currently, in Kazakhstan, the development of e-tourism is a topical issue. Thisarticledescribesthe development of an information system for recording and analyzing archaeological research based on a knowledge base. This system allows you to familiarize yourself with the extensive archaeological heritage, use it for the purposes of popularization, tourism and training, provides the opportunity for feedback and additions to the knowledge portal by various experts in this field. The use of OLAP-technologies in the implementation of the system provides the ability to automatically generate actual charts, which allows you to successfully monitor the conduct of archaeological research, to produce detailed analysis.

As part of this study, a computational algorithm was developed for the morphological classification of anemias, which allows us to determine the nature of the established anemic syndrome using calculations. This algorithm allows to increase the efficiency of making medical management decisions by improving the quality and validity of conclusions in the context ofincompleteness and inaccuracy of a priori information, even with different expert opinions. The study used the formalization of not only statistical information taken from various sources, but also the knowledge of the expert group diagnosing clinical and hematological symptoms.

This paper describes a big data security system based on an algorithm for evaluating information technology security of information security. The algorithm is based on the calculation of a comprehensive information security indicator, which allows assessing the state of compliance with organizational and technical requirements for ensuring information security. The results of the assessment are presented quite clearly and provide an opportunity for the management of organizations to make informed decisions to further improve the information security system.

This work deals with the computer simulation of low- and medium energy (E₀ = 0.5÷10 keV) N⁺, Ne⁺, Ar⁺, Kr⁺, Be⁺ и Se⁺ ions sliding collisions on the surface of a Cu (100), Ag (110), Si (001), SiC (001) and GaAs (001) solids, and of the accompanying effects, namely, scattering, sputtering and surface implantation. It has been shown that under these conditions the inelastic energy losses become predominant over the elastic ones. The anomalous energy losses observed experimentally at the grazing ion scattering by the single crystal surface were explained. It has been shown that from the correlation of the experimental and calculated energy distributions of the scattered particles, one may determine a spatial extension of the isolated atomic steps on the single crystal surface damaged by the ion bombardment. Results obtained can be also used to study short-range order in alloys undergoing ordering. Dissociative and non-dissociative desorption of adsorbed molecules were simulated. It was shown that at grazing ion bombardment the intensive non-dissociative desorption of adsorbed molecules is possible. A preferential emission of Cu atoms in the case of Cu₃Au (001) surface sputtering is observed. It was shown that in the case of grazing ion bombardment the layer-by-layer sputtering is possible and its optimum are observed within the small angle range of the glancing angles near the threshold sputtering angle. The obtained results allow to select the optimum conditions for obtaining implanted depth distributions with demanded shape in narrow near-surface region (5÷10 atomic layers) of crystals. The highly sensitive layer-by-layer analysis method was proposed on the basis of layer-by-layer sputtering mechanism.

The article describes methods of two-factor authentication and considers an example of  its possible use in an automated control system. The example considers a sequential algorithm for generating a one-time password based on the received hash value based on the result of the selected mathematical function. To implement this algorithm, a two-factor authentication model has been developed.

The article is devoted to the use of machine learning algorithms for biometric identification of individuals. The task is one of the tasks solved with the help of  machine learning. A database of photos obtained from open sources has been developed, and the result of the work is the name and photos of a person who has already been identified in the database. In this paper, we investigated and analyzed both hybrid methods for conducting biometric identification of persons on images, and the use of convolutional neural network techniques for conducting biometric identification of individuals.

In this article, studies conducted on forecasting world and Kazakhstan oil prices. The statistical data from the international stock exchanges FOREX, NASDAQ and the reporting data ofKMG used. Based on deep analysis authors attempted to predict futures prices for Kazakh oil using various  tools. The prediction of oil prices carried out through the analysis of previous periods with the definition of trend lines and trends in prices for several periods in advance. The authors used a polynomial trend model it is precisely with this model that the approximation  confidence value is as close to one as possible. This model confirms  the relationship between the period and the value of the price, has a polynomial character, and from all types of trend lines it convincingly describes  the original data. The main objective of this study is to identify global trends in the potential development of the global oil market in turbulent conditions based on analysis, assessment and prospects for the economic growth of the Kazakh economy in the next five years. The main objective of  this study is to identify global trends in the potential development of the global oil market in turbulent conditions based on analysis, assessment and prospects for the economic growth of  the Kazakh economy in the next five years. The study was conducted to determine the prospects for the development of the national economy, the level of which directly depends on geopolitical factors, the establishment of the world price, the volatility of the Kazakhstan oil price, macroeconomic and foreign policy factors that occur and determine world production, demand, consumption and as a result, the OPEC pricing policy, which has recently caused turbulent movement.

Nowadays there is a great demand in using new technology in education, because it is the need of the day. The technological advancements help people  to make success in their sphere of activities. To support teachers and students,  it is important to have an understanding of the manner in which a significant majority of  online  learning is delivered for today.  This article offers tips, strategies, and resources to teacher moving to online learning environment.