On classification

Abstract

tion are explored. The performed experiments allow us to propose an improved version of increasing the contrast of X-ray images. Combining the adaptive histogram equalization algorithm with contrast clipping has a visually noticeable effect of improving the contrast of X-ray images. Contrast improvement is supported by objective NIQE and BRISQUE quantifications that do not require reference images. A feature of this work is the use of objective non-reference assessments to determine the quality of images. The performed experiments indicate that the NIQE score correlates better with the visual assessment of image contrast changes. As a result of the experiments, recommendations were proposed for choosing the parameters of the gamma correction and adaptive histogram equalization methods, which make it possible to enhance the contrast without the intensification of noise in the image. Increasing image contrast is very important for the visual analysis of X-ray images. To improve the contrast of medical images, various contrast enhancement methods are used, such as histogram equalization and histogram modifications, gamma correction, etc. The paper explores adaptive methods for enhancing the contrast of digital X-ray images. Research was carried out on 1000 images from the open Kaggle database. Combinations of sequential application of several methods for enhancing image contrast were evaluated. Experiments using gamma image correction allowed us to select ranges of input and output parameters of the brightness conversion function. To obtain a better result, before performing gamma correction, it is proposed to use the method of equalizing the histogram of an X-ray image. Possibilities of adaptive image histogram equaliza-94 D. Serikbayev. Approaches to organizing data exchange with external information systems were analyzed and described, and mechanisms for integrating the national database of the Republic of Kazakhstan with a unified higher education management system were identified. The created integration gateway within the framework of the educational portal interacts with the information systems using the technology of transferring a representative state, data transfer is carried out in text format. The implemented gateway allows you to receive the necessary data from the database of the educational portal, generate data packets for transmission, connect to an external system and transfer data. To evaluate the efficiency of the gateway, computational experiments were carried out in which data of various volumes were transferred through the created gateway to state information systems and the time of their transmission was recorded. Based on the obtained data, the dependenc-es of the transmission time on the amount of transmitted data for each information system with which interaction is carried out were obtained and their graphical display was built. According to the results of the experiments, it was shown that the transmission time has a polynomial dependence on the amount of data, which makes it possible to interact with the indicated information systems in real time. presents the results of the development of information technology for the interaction of the learning management system with the state information systems of the Republic of Kazakhstan in the field of higher education. systems integration gateway, educational East Kazakhstan University This paper focuses on aerospace image analysis methods. Aerospace images are considered for the study of agricultural crops of northern Kazakhstan belonging to the A. I. Barayev Research and Production Center for Grain Farming. The main goal of the research is the development and implementation of algorithms that make it possible to detect and highlight on aerospace images the factors that negatively affect the growth of crops over the growing seasons. To resolve the problem, the spectral brightness coefficient (SBC), NDVI, clustering, orthogonal transformations are used. Special attention was paid to the development of software tools for selecting characteristics that describe texture differences to segment texture regions into sub-regions. That is, the issue of the applicability of sets of textural features and orthogonal transformations for the analysis of experimental data to identify characteristic areas on aerospace images that can be associated with weeds, pests, etc. in the future was investigated. The questions of signal image processing remain the focus of attention of different specialists. The images act both as a result and as a research object in physics, astronautics, meteorology, forensic medicine and many other areas of science and technology. Furthermore, image processing systems are currently being used to resolve many applied problems. A program has been implemented in the MATLAB environment that allows performing spectral transformations of six types: 1) Analysis of the data obtained revealed the features of changes in the reflectivity of cultivated crops and weeds in certain periods of the growing season. The data obtained are of great importance for the validation of remote space observations using aerospace images. Precision Agriculture which includes the implementation of smart farms is gradually becoming commonplace in our present world. The Internet of Things (IoT) and also Analytics techniques are useful tools for the actualization of smart farms as they allow for information dissemination to rural farmers and also serve as a platform for monitoring farm activities. When farm activities are properly monitored, food production is optimized. As the world’s population grows, there is a greater challenge of the availability of food. The combination of IoT and data analytics has not been fully explored for Smart farming especially in developing economies. This paper proposes a FarmSmart Application using an IoT-based mobile monitoring system that combines sensors, and data analytics to man-age irrigation processes and broadcast Agricultural information to farmers. The FarmSmartApp was implemented on the IntelliJ IDE using C++ and MongoDB.Python and Excel were used for the data analytics. The effectiveness of the proposed system is examined on a real-world dataset harvested from the mounted sensors. Also an ini-tial evaluation of the system is done by stakeholders. Simple Analysis of Variance of light, moisture and temperature led to the rejection of the null hypothesis of no significance difference in mean effect among the variables since fcalc is greater than fcrit justified by p value less than 0.05. On the system evaluation, 97 % of the examined stake-holders agreed that the system delivered on the agreed functionality. The system therefore has the capacity to provide farmers with useful Agricultural information to guide irrigation procedures and Agricultural decision making. set. To build an approximation model, the inverse problem is solved. The desired model is based on the condition of coincidence at some time interval of the results of solving it with the results of a detailed physical-mathematical model. To this end, a number of sequential actions are performed, including approximation of the results of the expanded physical-mathematical model using a series, the application of the Laplace transformation to this series, as well as Pade approximation obtained in the space of the images of the series. The method of control was proposed and an automatic control system (ACS) for energy production of nuclear power plant has been synthesized. To this end, the management system was integrated with the approximation model of the active zone, which provided the possi-bility for adjusting the quantitative degree of stability of the active zone. ACS consists of three control circuits. Such a structure has made it possible to compensate for the xenon oscillations that occur. Additionally, ACS reduces the movement of adjusting rods in the active zone, which reduces local power surges in nuclear fuel and leads to an increase in its durability. The achieved computational complexity of problem-solving algorithms is in the range of 2 ‒ 10 seconds. The problem of combining simultaneous operation of UGSF under an optimal mode for fuel gas and ensuring the necessary peak operation of UGSF at projected time intervals has also been considered. The joint UGSF performance was calculated at the projected time intervals according to the established criteria. At the same time, thermal-hydraulic coordination of UGSF operating modes with the operation of the GTS main gas pipeline system with which they are integrated was ensured. The problem was solved as a result of the implementation of a universal approach to the construction of functional models of complex systems – a single information support, the representation of the structure of the system in terms of graphs, the statement of proper mathematical problems, the development of methods for guaranteed convergence of systems with different mathematical representa-tions of equations, the development of computational algorithms for combinatorial optimization of minimum complexity processes with discrete and irregular influences on their behavior.