This article is devoted to the study of the improved neighbor mean interpolation (INMI) steganographic method. To date, no steganalysis of such a method of information embedding has been carried out. We implemented the INMI method of embedding messages in raster files and conducted a stegoanalysis on a set of 800 images of 225 × 225 size. Experimentally, we found that with this embedding method, the maximum container capacity is 21% and that it depends on the contents of the container. It is established that only 60 files out of 800 actually have the maximum capacity. We presented the calculation of the Type I error and the percentage of information detection in the obtained containers by the regular–singular (RS) method. The results showed that the considered steganographic algorithm is resistant to RS steganalysis and is comparable to the stegosystem of the permutation method investigated in one of our previous articles.

Wydawnictwo SIGMA-NOT wydaje czasopisma fachowe informujące swoich czytelników o najnowszych osiągnięciach naukowych i nowoczesnych rozwiązaniach technicznych w Polsce i na świecie, popularyzuje problemy techniczne oraz poszerza wiedzę i kulturę techniczną.

Among the promising automatic control systems, logical-dynamic control systems that change both the structure and parameters of the control device using switches formed on the basis of a certain logical algorithm have proven themselves well. The use of logical algorithms as part of MACS subsystems for complex technical objects makes it possible to increase the static and dynamic accuracy of control due to purposeful qualitative and quantitative changes in the control signal. This approach will give the control system fundamentally new properties that allow to fully take into account the nature and dynamics of the movement of the control object. When developing existing logical control algorithms, the issues of their application for multi-connected and multifunctional objects control were not considered. Common to existing logical algorithms is that when switching the structure and/or changing parameters, only the dynamics of its own subsystem is taken into account, which is unacceptable in the case of multi-connected dynamic object control, since cross-links have a significant impact on the quality of control. Thus, the problem of synthesis of logical algorithms for multi-connected objects control is an actual theoretical and applied problem. Despite the considerable amount of research conducted in this area, the application of logical algorithms for complex multidimensional objects control is not sufficiently considered, and there is no unified design concept for this type of MACS, taking into account the required quality of functioning in various operating modes. In this regard, there is a need to synthesize algorithms for logical multi-connected control that form control signals in order to coordinate the actions of all separate MACS subsystems in accordance with new external conditions and operating modes. The problem under consideration determined the purpose of this work and the research objectives.

The two-point problem for the nonhomogeneous telegraph equation is a mathematical model to describe propagation of electromagnetic wavesunder the action of external force at given behavior of the process at two time moments. The differential-symbol method of constructing an exact analytical solution of the problem is proposed. The class of quasipolynomials as a class of existence and uniqueness of the solution of the problem is indicated. The examples to research propagation of waves with two given states are proposed. The presented results can be effectively used in the design and studying of parameters of the electrical engineering systems.

This paper presents a numerical model for simulating magma ascent in the Earth’s interior and its eruption to the surface, aimed at improving earthquake prediction. Magmatic flows are modeled as highly viscous fluids with a low Reynolds number (Re) using simplified Navier–Stokes equations. The approach incorporates hydrodynamic instability arising from density differences between magmatic and asthenospheric layers. Initial and boundary conditions were formulated for magma outflow from a narrow crack, and a dimensionless Euler–Reynolds (ER) parameter was introduced to characterize flow behavior. Numerical experiments for different ER values revealed that at low ER, magma spreads slowly, forming stable layers, while higher ER values accelerate vertical rise, increase pressure gradients, and enhance instability. The model identifies zones of stress accumulation that may precede seismic events. An additional method—monitoring fluid levels in deep wells—showed correlation with seismic fluctuations, supporting its potential for early warning. The results confirm the reliability of the proposed approach, demonstrating good agreement with seismological data. The developed methodology can be applied to enhance early warning systems and reduce risks in seismically active regions.

Kazakhstan is struggling with the problem of desertification and land degradation, especially in the southern regions and the Aral Sea region, where the annual release of about 150 million tons of salt is causing an ecological imbalance. One of the main plants that plays an important role in soil stabilization is saxaul, which covers an area of more than 6 million hectares. However, traditional methods of collecting its seeds are not effective enough, which slows down the process of restoring forests.The purpose of this study is to analyze scientific works aimed at developing an automated mechanism for collecting saxaul seeds using modern technologies, such as artificial intelligence (AI), remote sensing and robotics. The analysis considered the potential of satellite information (KazEOSat, Sentinel), deep learning methods (CNN, Random Forest), unmanned aerial vehicles (UAV), Internet of Things (IoT) systems and innovative solutions.The results of the study show that the introduction of modern technologies allows to increase the productivity of forest restoration measures and enhance the viability of plants. Moreover, these approaches can make a significant contribution to sustainable greening of the Aral Sea region. However, further research is needed to ensure their adaptation to the natural and climatic conditions of Kazakhstan.