The article presents the developed methodology of intellectualization of industrial production of the oil and gas industry of the Republic of Kazakhstan on the basis of intelligent optimization algorithms, which provides a solution to the problems of synthesis of standard regulators using modern microprocessor technology. As an example, the distributed control system CENTUM VP from Yokogawa is used. To formulate the intellectualization procedure, the task is to find the parameters of a typical controller that provide the extremum of the objective function (quality criterion), using intelligent algorithms of global search optimization. In particular, the need to synthesize a proportional-integral-differential regulator based on an evolutionary population algorithm that minimizes the selected quadratic integral quality score. As intelligent algorithms, it is also proposed to use global search engine optimization algorithms that provide a solution to the problem based on artificial intelligence methods.

In order to develop the compositions of ceramic bricks, the influence of phosphoric slag on the properties of Langer clay is investigated in this work. Phosphoric slag in the amount of 20, 30 and 40 percent was added to Hungarian clay and standard samples-cylinders were prepared. The samples were fired at temperatures of 1000, 1100 and 1150 оС. When determining the properties of the fired samples, the influence of the amount of phosphoric slag and the value of the firing temperature was observed. Experimentally, the average density of samples subjected to firing at an optimal temperature was 1870-2100 kg/m3, and the compressive strength according to the test results was 24.3 - 29.89 MPa. A sample with the addition of 30% phosphoric slag and obtained by firing at a temperature of 1100 оC is considered optimal.

A new algorithm is proposed, which is an alternative to the run-through method for the numerical solution of second-order linear differential equations with fixed boundary conditions. The algorithm has a wider scope of applicability than the well-known run-through method and works for both positive and negative coefficients of the equation. The main purpose of this work is to obtain recurrent formulas similar to the run-through formulas for the numerical solution of the boundary value problem of second-order differential equations. The most important question is whether there are run-through formulas when the coefficient in the solution in the equation has a negative sign or is alternating. The paper shows the consistency and computational stability of the difference schemes represented by the proposed recurrent formulas. The results obtained in this article are confirmed by the calculated data.

This article uses bench, conveyor and aggregate methods of production of reinforced concrete products. The methods of transportation, delivery and convenient storage of reinforced concrete products with the use of chemical and mineral additives included in the production of reinforced concrete products are shown, a mathematical model of the development of reinforced concrete products is proposed. Methods of mathematical modeling, automatic control theory and algorithms are used. Modeling of production processes and system analysis uses professional mathematical packages. The mathematical model of the dosing process provides the establishment of a mathematical dependence of the mass yield of ingredients on the control effects, for different dispensers the calculation formulas of their performance are different. Depending on the change in demand, a model of the production process of finished precast concrete is being developed, an automated control system for the production of precast concrete with variable control parameters is provided.

The computation of the trace of the Fisher information matrix in this work is carried out in terms of the sensitivity functions of the output variables. It is essential that the computation of the corresponding sensitivity functions is performed in a feedback loop, which leads to the application of a dynamic programming method that differs from the standard scheme. The difference lies in the need to solve a system of linear algebraic equations in the synthesis of the control sequence. The use of such a control synthesis scheme in the work is justified, and necessary and sufficient conditions for the existence and uniqueness of the solution of the specified system are obtained. The distribution of the energy of identification signals between more and less important parameters of the model is varied by changing the weighting factors. It is proposed to impose an additional constraint on the trace of Fisher's information matrix on the control sequence synthesized on the basis of the principle of deterministic equivalence.

Machine learning is applied in many everyday situations, from image recognition to natural language processing, autonomous vehicles, and product recommendation. In the field of science, machine learning is used for medical diagnostics, new materials development, smart farming, DNA classification, and more. This paper explores machine learning technology. Explains what this technology is and its use in the world today. The article also talks about the types of machine learning and what they are. The work of each type is considered in detail: what types of algorithms they use and in what areas they are used. This all emphasizes the features and uniqueness of each of the types. In addition, the article discusses the advantages and disadvantages of this technology, as well as the importance and prospects.

This article says that quality management is one of the key functions of both corporate and project management, the main means of achieving and maintaining the competitiveness of any enterprise. It is emphasized that product quality management is, in essence, a cross-cutting aspect of the enterprise management system - similar to such as time, costs, personnel management. It is this position that is at the heart of the fundamental principles underlying modern quality management systems. The article also touches upon aspects of the functioning of the quality system - this is the performance of the management and all departments of their functions and tasks in order to ensure the quality of products. This is the content side of the system's activity, that is, what it is intended for. In recent years, in world practice, much attention has been paid to in-house quality control of products, which is called total quality control. The product quality management system differs not only in each state, but also in the company. Its formation depends on the tasks facing the country or company, their specifics and practical experience. In Kazakhstan, attention to quality management is constantly increasing. At the same time, many managers still devote most of their work time to “momentary” problems, rather than planning quality from the very beginning.

The article presents modern research on the development of compositions and technologies of light aggregates based on natural and man-made raw materials, as well as mixtures containing both natural and man-made raw materials. As a natural raw material component, shungite, clays, silica – containing raw materials-diatomite, trepel and flask are used. As man-made raw materials, coal-enrichment waste and coal-containing waste, fly ash, ash slags, oil sludge and paper waste paper are used. Light aggregate is prepared according to roasting, clinker-free and clinker-free technologies. For the production of the aggregate according to the firing technology, the raw materials are mixed after grinding, mixed in certain ratios, moistened, prepared granules and after drying, the granules are fired. Liquid glass is used to produce the aggregate using the clinker-free technology, while Portland cement, slag-Portland cement and gypsum-cement-pozzolan binder can be used as binders using the clinker technology. The bulk density of the developed aggregates is in the range of 100 ... 1100 kg / m3, porosity-50...88%, compressive strength in the cylinder-0.32...3 MPa.

The article presents a broad analysis of the situation with air pollution and the impact of thermal power plants on the environment. The structure of fuel consumption is presented, as well as an analysis of the main sources of electrical and thermal energy in the framework of the study of the problem. The main sources of greenhouse gas generation, which include energy and road transport, are shown. In conclusion, an analysis of the situation when replacing Almaty CHP-1 and CHP-2 with natural gas is given. It is shown that it is most expedient to build thermal power plants running on gas with a modern combined cycle, combined cycle, which will provide electricity production with an efficiency of more than 50% and provide a fuel utilization factor in combined heat and electricity production of 80-85%. The article also discusses the issue of modernization of ATKE LLP, after which large boiler houses could generate electricity based on thermal consumption, despite the fact that they burn natural gas only for the needs of heat supply.

Global shortage of cybersecurity experts is becoming emerging trend in Information Security (IS) domain. Traditional and non-traditional education approaches are not able to supply global demand for cybersecurity talents, and this trend is unlikely to change in the coming years. Companies are experiencing a huge number of cyber-attacks of various scale and vector: phishing, network attacks, malware, denial of service (DoS) and ransomware. The effect of multi vector cyber-attacks could result in tremendous financial and reputational damage for the companies. Information security community is constantly looking for new approaches to combat with ever-growing number of cyber-attacks. In an era of big data and a shortage of cybersecurity talents, machine learning (ML) has all the prerequisites to become one of the most efficient solutions in this field. The purpose of this article is to analyze current issues of IS management system and discuss practical use of ML in several IS processes. The article also discusses current challenges and future developments of ML in cybersecurity.