The project is aimed at creating a system for monitoring and forecasting the condition of specialized pumping equipment used in irrigation systems. Such systems use complex and expensive pumps, so ensuring timely and high-quality irrigation of crops requires their uninterrupted operation. The prototype monitoring system was developed using temperature and vibration sensors that were connected to a Raspberry Pi 4 controller. Predictive analysis, feature extraction, and data prepossessing were performed in Python in the Anaconda environment. The study showed that the combined analysis of temperature and vibration parameters helps to quickly detect problems such as misalignment and wear of bearings. Regression models have shown the possibility of predicting equipment failures in advance, and the decomposition of sensor signals has revealed long-term trends and periodic fluctuations. This method can improve the reliability of crop irrigation, significantly reduce downtime, and optimize maintenance schedules

This article discusses methods for monitoring and predicting the remaining service life of pumps used in irrigation systems. The relevance of this research is due to the need to improve the reliability and efficiency of pumping equipment, reduce the likelihood of unexpected breakdowns, and optimize maintenance costs. This study aims to create and apply a highly accurate method for predicting the residual service life (RUL) of an irrigation system. The method is based on the use of a convolution neural network. Research Objectives: Study of existing methods for monitoring and predicting the technical condition of pumping equipment. Development of convolutional neural network architecture with two parallel data processing channels: temporal and time-frequency. Creation of the software complex “AITUM” for collection, processing and analysis of data coming from vibration and temperature sensors. Development of recommendations on application of the method in pumping equipment maintenance systems. The constructed method on the basis of deep learning shows high accuracy of prediction of RUL of pumps, which significantly exceeds the generally accepted approaches. A series of experiments on real data of pumping systems were conducted, which helped to discover the degradation patterns of the equipment. Application of this technology will reduce the risk of emergency failures, reduce operating costs and increase the efficiency of irrigation systems through timely maintenance of equipment.

In the article the combined reflectance model based on quadratic and cubic polynomials is discussed. The main characteristics of physically accurate Torrance-Sparrow, Low models and empirical Blinn, Phong, Schlick models are analyzed. The advantages and disadvantages of the cubic and quadratic Blinn-Phong model approximations are explored. The need in the development of new Blinn-Phong model approximation through combining the quadratic and cubic functions is justified. The cubic model is improved in order to improve the accuracy of Blinn-Phong model approximation in the attenuation zone. The formulas of the improved cubic model coefficients are simplified. The precise and approximated formulas for the calculation of connection point between quadratic and cubic functions are obtained. The productivity gain from the replacing the cubic function by the quadratic function in the glare's epicenter zone is calculated. The absolute and relative errors of Blinn-Phong model approximation by the quadratic, cubic and the proposed model are compared. Through the visualization of the test figures "Teapot" and "Robot" the advantages of the proposed function usage for increasing the realism of glares formation are shown.

The article is devoted to the development of methodology of river runoff modeling. This paper reviews possible approaches to fluid flow modeling, analyzing existing solutions and formulations of the research problem. The Navier-Stoke equation is replaced by a difference analogue, which is subsequently solved by a numerical method. A general description of the problem is given, and the objectives of the study are formulated. Flood and inundation monitoring methods developed in Kazakhstan are described, the results of their practical use in some areas are discussed, and directions for further development are outlined. Possible ways of solving the problem of flooding of territories because of flooding are given. This information is then used to forecast emergencies.

Industrial development of cities is the main cause of destruction and degradation of natural resources around the world. Urbanization negatively affects the species composition of plants, the atmosphere, and the land cover in the populated areas of the world's major cities. Tree plantations are the main mechanism for stabilizing the ecological situation in large cities and arid areas in countries around the world. To obtain a large number of genetically identical plants through micropropagation, it is necessary to automate the main stages of this technological process. The result of the study is the creation of a robotic complex with a phalanx pincer to automate the technological process of transshipment operations in the microclonal propagation of a plant. This will have a positive impact on solving the urgent problem of greening large cities and arid areas not only in the Republic of Kazakhstan, but also in other countries of the world, and represents a fundamentally new approach to solving the environmental problems of the Earth (Kaimov et al. Eastern-European Journal of Enterprise Technologiesthis link is disabled, 2022, 1(7–115), pp. 48–58). In the article, different variants of the structural-kinematic schemes of the robot gripper are justified taking into account the stochastic conditions of its interaction with the loaded object. Currently, we have introduced 280 seedlings. Since 2019, we have been working to increase the size of the planting material that we began to grow in the field. Thanks to this technology, we have planted 6,102 seedlings in the forest nursery (Kaimov et al. Eastern-European Journal of Enterprise Technologiesthis link is disabled, 2022, 1(7–115), pp. 48–58).

In this paper, developed a calculation of two schemes of robot manipulator grippers at the overload of solid high-level waste of heat-generating elements. Determined efforts are needed drive gripper, the necessary efforts grip the details of the conducted static analysis of flat models constructed 3D models and the calculation of strength and stiffness. We consider the two schemes of grasping of the robot manipulator developed by the authors when the solid radioactive waste of fuel elements is overloaded. The necessary forces of the gripper drive, the necessary forces for grasping the part, the static calculation of the flat model, 3D models and calculation for strength and rigidity were tested. The work is carried out within the project AP09260493 (project identification number) "Institute of Mechanics and Engineering Science named after Academician U.A. Joldasbekov" of the Committee of the Ministry of Education and Science of the Republic of Kazakhstan.

this article, a monitoring system based on IoT technologies of the substation electrical system in the Republic of Kazakhstan was developed. At the moment, the operation of power systems is extremely important to maintain the frequency of electric current over time. For management and monitoring applications, it is necessary to take into account communication within acceptable limits. IoT technologies are considered the main functions in applications for monitoring and managing energy systems in real time, as well as making effective decisions on both technical and financial issues of the system, for monitoring the main form of data registration on an electric power substation in the city of Shymkent of the Republic of Kazakhstan, for consistent effective decision-making by system operators. In this work, an Internet of Things-based monitoring system was implemented and implemented for the substation of the power system using a specialized device built into the FPGA controller for fast integrated digitalization of transformer substations of real-time distribution electrical networks. The IoT platform also provides complete remote observability and will increase reliability for power system operators in real time. This article is mainly aimed at providing a practical application that has been implemented and tested.

Optimal approaches to solving many problems are required in many areas. One of these areas is the determination of the occurrence of gravity anomalies in oil and gas fields. In this paper is proposed a new approach for determining the source of gravity anomalies in an oil and gas fields by estimating the gravity parameters associated with simple-shaped bodies such as a homogeneous sphere, a horizontal prism, and a vertical step. The approach was implemented in the computational module of the GeoM information system for optimizing the solution of a series of direct gravimetry problems using a genetic algorithm (GA). Approach is based on solving the direct gravimetry problem to minimize the discrepancy of gravity variations by the genetic algorithm. The method allows to select values simultaneously for several parameters of the studied environment. The task is realized through successive approximations based on a given initial approximation of the medium. The paper indicates the initial calculation parameters and criteria for finding optimal solutions for models of the geological environment. The calculations were carried out for such models of the environment as a homogeneous sphere, a horizontal prism and a vertical ledge. For calculations, the results of gravimetric monitoring at one of the Kazakh oil and gas fields were used. The paper demonstrates the operation of the algorithm and presents the results of modeling for three available field profiles. The obtained results of the system showed an acceptable accuracy of the algorithm up to 10-11. The genetic algorithm made it possible to significantly increase the reliability of the model and reduce the working time for analyzing the measured gravitational field

The problem of diabetes mellitus is becoming alarming due to the increase in morbidity among children. Patients are undergoing vital insulin replacement therapy, the dose depends on the level of glucose in the blood. The glucose level prediction program, taking into account the impact of physical activity on the body, the use of mobile health capabilities will allow us to develop personalized tactics for a child patient and minimize the risks of a critical health condition. The target group of this study are children and adolescents with type 1 diabetes. This study provides an IoT based mHealth monitoring system, including sensors, medical bracelets, mobile devices with applications. The mobile healthcare application for personalized monitoring can implement the functions of more effectively targeting young users to support their own health and improve the quality of life. In addition to monitoring blood glucose levels, the effect of physical activity on the condition of patients is also taken into account. The use of the proposed method for calculating the probable change in the patient's blood glucose level after the end of physical activity will allow the doctor to make individual recommendations for the diet before the start of physical activity and its intensity.

The main idea of the analytical–experimental methodology of the study of complex processes in elastic bodies is developed on the case of torsional and bending vibrations, taking into account the displacement along the body of a continuous stream of a homogeneous medium. Its main point is the use of a priori information about one form of oscillation with the simultaneous use of it in the mathematical model of others. The methodology makes it possible to simplify the mathematical model of the dynamics of complex dynamic processes in the body, while using it for quantitative or qualitative methods of analysis allows to not only evaluate the mutual influence of the components of the process but also, in many cases predict such complex processes as external and internal resonances in advance. It is shown that it is especially effective in use for cases where the components of the displacement of an elastic body due to some forms of oscillation are significantly less than those of others.

A dynamic model of the "tool-workpiece" system for chatter prediction in end milling of the low-stiffness parts has been developed. This model takes into consideration the influence of the contact interaction of the tool and workpiece on the system's dynamic characteristics forming. A procedure for frequency response function (FRF) determination and lobed stability charts plotting has been developed. FRFs were determined for the whole system, which consisted of interrelated tool and workpiece subsystems. For the low-stiffness workpieces of a geometrically complex parts, FRF was determined using ANSYS software, and for the tool (end mill), by the use of analytical methods. The modeling of the dynamic characteristics of the "tool-workpiece" system has been performed. Lobed stability charts for different points of tool and workpiece contact and for different depths of cut have been plotted. The authors assumed to compare the adequacy of the developed procedure for FRF determination and lobed stability charts plotting with the experiment. The lobed stability charts plotting for different tool and workpiece points of contact were elaborated. Crucial element of the research is the determination of stable machining and chatter zones. The modeling results are validated through an experiment. This allowed for the formulation of appropriate conclusions.

In this work we analyzed the information space of the knee joint for the purpose of effective implementation. For example, the concept of anatomical plasty of the anterior cruciate ligament (ACL) includes several principles: one of which is the anatomical location of the graft with the formation of the tibial and femoral tunnels in the areas of native attachment of ACL.

Mobile machines with hydraulic drives, which are designed to perform loading and unloading operations, are widely used in industry and require precise displacement of work units, as well as the ability to maintain them for a certain period of time. The scheme of a proportional electrohydraulic directional control valve with independent flows control which provides proportional control of flows at the inlet and outlet of the hydraulic unit, and also the possibility of its fixation, is presented. To improve the controllability of the proportional electrohydraulic directional control valve, it is proposed to apply feedback elements. The results of research, which are based on a developed mathematical model, show a positive effect from using feedback elements and improve the proportionality of the control. Investigations of the influence of the design parameters of the proportional electrohydraulic directional control valve on overshoot of the pressure in the hydraulic drive have been carried out. Using feedback does not lead to a significant deterioration of the dynamic characteristics of the hydraulic drive, but it is important that a rational combination of design parameters must be chosen.

Mathematical models of the turning of tracked vehicles have been developed. In the turning mechanism, the hydrovolumetric transmission and differential reduction gears are included. Adding such elements improves the technical characteristics of the vehicle (controllability, maneuverability, and mobility) and reduces driver fatigue. These models allow the parameters of hydromachines and differential reduction gears that provide turning of the vehicle with the required angular velocity to be determined.

The mathematical models describing the process of transformation of technical animal fats under the influence of alcohol and catalyst in biodiesel were presented. A mathematical model describing chemical kinetics of transesterification of technical animal fats for biodiesel production was developed. The model is based on the reverse mechanism of transesterification reactions and describes the concentration changes dynamics of triglycerides, diglycerides, monoglycerides, and biodiesel and glycerol production. Reaction rate constants were written in the Arrhenius form. An analysis of key process variables such as temperature and molar ratio soybean oil-alcohol using response surface analysis was performed to achieve the maximum animal fats conversion rate to biodiesel. The predictive power of the developed model was checked for the very wide range of operational conditions and parameters values by fitting different experimental results for homogeneous catalytic and non-catalytic processes published in the literature. Mathematical description of the technological process of transformation of fats of animal origin with high content of free fatty acids in the production of biodiesel was presented, taking into account physical and chemical mechanics of raw materials, reagents and determined rational parameters of the process of transformation of raw materials.

Mass media is one of the most important elements influencing the information environment of society. The mass media is not only a source of information about what is happening but is often the authority that shapes the information agenda, the boundaries, and forms of discussion on socially relevant topics. A multifaceted and, where possible, quantitative assessment of mass media performance is crucial for understanding their objectivity, tone, thematic focus and, quality. The paper presents a corpus of Kazakhstan media, which contains over 4 million publications from 36 primary sources (which has at least 500 publications). The corpus also includes more than 2 million texts of Russian media for comparative analysis of publication activity of the countries, also about 4000 sections of state policy documents. The paper briefly describes the natural language processing and multiple-criteria decision-making methods, which are the algorithmic basis of the text and mass media evaluation method, and describes the results of several research cases, such as identification of propaganda, assessment of the tone of publications, calculation of the level of socially relevant negativity, comparative analysis of publication activity in the field of renewable energy. Experiments confirm the general possibility of evaluating the socially significant news, identifying texts with propagandistic content, evaluating the sentiment of publications using the topic model of the text corpus since the area under receiver operating characteristics curve (ROC AUC) values of 0.81, 0.73 and 0.93 were achieved on abovementioned tasks. The described cases do not exhaust the possibilities of thematic, tonal, dynamic, etc., analysis of the considered corpus of texts. The corpus will be interesting to researchers considering both multiple publications and mass media analysis, including comparative analysis and identification of common patterns inherent in the media of different countries.

An approach to solving the problem of analysis and improving the functional safety of cyber-physical control systems for distributed continuous objects is proposed. The model of a one-level cyber-physical system of coordination control was developed, the sources of dangers are analyzed and the probability of a dangerous operating mode is estimated.

The influence of the working period on the reliability of gas pumping units was analyzed. The principle of constructing stochastic mathematical models for the prediction of the technical condition and estimation of the residual resource of gas pumping units at compressor stations of main gas pipelines is proposed.