This article presents a mathematical modeling of the metal systems iron-titanium, titanium-silicon, titanium-aluminum. The use of low-percentage ferrotitane, which is not traditional for metal-thermal processes of ferrosilicoaluminium (FSA), as a reducing agent in the smelting process, will lead to some uncertainty about how exactly a complex alloy of Si, Al and Fe will behave during alloying. In contrast to the classical aluminothermy, where the reducing element is aluminum, in the developed technology aluminum works in combination with FSA (Si=50-60%). Since the foreign metal Si is additionally introduced into the metal system (ferrotitane), the question arises as to how it will affect the formation of the alloy in the Fe-Ti-Al system. It is likely that the introduction of Si into the medium can lead to the formation of strong heteropolar bonds in the Fe-Ti-Al triple system. According to the results of the study, from a theoretical point of view, the use of a silicon-aluminum reducing agent (FSA) in the production of low-percentage ferrotitane should not prevent the production of a product that is conditioned by impurities.

Pore-scale modeling is becoming widely applied in the oil industry. The objective of pore-scale imaging and modeling is to predict the properties of multiphase flow in porous media. Pore-network model construction of geologically realistic samples and determination of rock and two-phase fluid flow properties are described and discussed in this paper. Pore-network models were constructed using published micro-computed tomography images of different rock samples. Effective porosity, average absolute permeability, capillary pressure, tortuosity (in 3 directions), and relative permeability were calculated for 2 types of displacement (drainage and imbibition). Avizo® Software and two-phase code were used for volume rendering of rock samples and calculations of rock and two-phase fluid flow properties, since it is a valuable and reliable tool for prediction of petrophysical properties and has advances in visualization of the pore space. Created 3D models of core samples based on micro-computed tomography scan data will allow oil and oilfield service companies to create a digital core database on a computer instead of storing physical cores in warehouses, which in turn greatly facilitates access to cores for further work with them.

Zn1-xCoxO nanopowders were obtained by chemical bath deposition followed by thermal annealing. The structure and morphology of the samples were studied by X-ray diffraction analysis and scanning electron microscopy. Raman spectra were studied at room temperature using a Solver Spectrum (NT-MDT) spectrometer with laser excitation at 473 nm. Optical spectra in the range 300-800 nm were measured on a Lambda 35 PerkinElmer optical spectrophotometer. Depending on the synthesis conditions, nanopowders with an average size of 1-2 nm were obtained.

Information is data that has undergone deep analysis and systematization. Nowadays, information is the key for any company, helping to stay on the market in conditions of fierce competition and financial crisis, if any. However, it is not enough just to have information, it is important to analyze and update it correctly. In order for a person not to waste his precious time on analyzing information, various schemes and systems have been developed that can analyze large amounts of data and turn ordinary data into relevant information. This area of ​​analytics aims to improve the management of business systems using databases and the latest technologies. The main direction of this article is the use of new data analysis technology as a tool for business intelligence.

The article discusses modern concepts, strategies and decision-making models for creating an information-analytical decision support system in "North-Kazakhstan Agricultural Experimental Station" LLP. The international experience of using the method of hierarchy analysis for making management decisions on various aspects of production in agricultural industries is discussed. A comparative analysis of the concept of utility maximization and the concept of bounded rationality is carried out. It is shown that it is advisable to use the concept of maximum utility of management decision-making to make decisions on determining the optimal multi-factor scenarios for the production of agricultural enterprises. The concept of limited rationality of decision-making at the enterprises of the agricultural sector of Northern Kazakhstan is presented. The methods of decision-making and the features of their use are briefly described. A normative model for the development of an IAS for the effective organization of production in crop production is presented.

The world market of generated power plants is more and more filled with renewable energy installations and Kazakhstan is also not lagging behind in this direction. In our country, projects for the construction of large, industrial solar power plants are being rapidly implemented. To ensure the proper functioning of solar power plants and preventive detection of problems, it is advisable to calculate certain indicators to assess the efficiency of the functioning of the stations. The purpose of this work is to assess the efficiency of the operation of an industrial solar power plant (SPP) with a capacity of 40 MW. The internationally accepted standards for calculating the efficiency of the functioning of photovoltaic installations are considered, the assessment method is chosen - the calculation of the coefficient of the efficiency of the functioning of SES - Performance Ratio (PR). Collected data on the amount of solar radiation, electricity supply to the grid for the period January - February 2020, based on the data, PR calculations were carried out, the results were analyzed.

A long-term priority in the field of social policy in the direction of ensuring social guarantees and increasing the personal responsibility of citizens of the country is a strategy for the development of the state. Having a conscious management trajectory, a person can plan personal finances at a young age without resorting to the help of a credit institution. To ensure the content of decision-making information systems in the field of asset management of individuals, it is required to develop mathematical models of complex functional social systems. This paper examines mathematical models of asset management throughout the life cycle of a family. A mathematical model of the process of achieving several financial goals distributed over time throughout the life cycle of a family has been built. A model for managing the processes of accumulating wealth in order to fulfill its obligations by controlling regular contributions is described. It is shown that when each generation of a family has targeted funds, the risk of default in conditions of volatility in the external environment decreases.

The transmitted to the emergency spot earlier than ambulance and take into account multiple real time health parameters of the patient such ambulance purpose of this project is to develop a prototype of drone ambulance to assist the ambulances in saving human life’s. According to a study conducted by a centre of science and environment, traffic in its ‘peak hours’ on an average does not exceed 30-40 km/hr 92% of the times. In existing systems, a drone carries only the defibrillator to the emergency spot. Thus, it takes into account only a single parameter. This paper aims at developing a system that would be able to fly to the as temperature heart rate and heartbeat. The values of these essential parameters are then. This helps the doctor to evaluate the situation better to provide first-aid kit.

The technology of converting solar radiation using innovative Ʌ-photomodules and a collector with an optical concentrator is considered. Silicon photocells generate a photocurrent and heat the intermediate heat carrier up to ≈ 650С, which releases thermal energy in the linear heat exchanger of the consumed water of the external circulation loop. Using experimental data on the characteristics of photovoltaic cells and double-sided collectors, a method for engineering calculation of the specific power of innovative Ʌ - photo modules was developed and computer modeling of the performance of cogeneration units was carried out.

The paper considers the main tool design environments of the ES and DSS (DSS Project Expert) and (DSS «Выбор») presented on the market and taking into account the typical specifications of modern computer systems, the RAD Studio 10 programming environment was chosen as the development environment for the DSS and Microsoft (Visual Studio), C# programming language for organizing work and modules that implement methods and models. The article analyzes the main approaches to choosing strategies for investors in the DSS during the procedure for evaluating investment projects in the field of digitalization of enterprises, taking into account multi-factorism, the project is implemented in C #. When choosing the C # programming language for this module, two main tasks were set - the speed of development and the ability to learn about errors even at the program compilation stage.