The problem of using mathematical modeling to ensure the main characteristics of the projected thunderstorm activity monitoring systems, such as the probability of detection and the accuracy of determining coordinates for the selected work area, is discussed. The aim of the study is to develop a model capable of estimating the probability of detection and the accuracy of determining the coordinates of lightning discharges. A comprehensive model is proposed that allows designing the configuration of a system capable of providing specified characteristics by obtaining model estimates and their sub sequent analysis. The created model of the thunderstorm activity monitoring system consists of two main components: a component for assessing the probability of detecting discharges and a component for assessing the accuracy of location. The model is used to estimate the probability of detection and the accuracy of determining the coordinates of a lightning discharge, various configurations of the taking into account the uncorrelation of measurement errors by an experimental network deployed in St. Petersburg. The work includes the results of modeling monitoring system, the results of which are presented in the form of graphic materials. Each figure shows the results of calculating estimates for various parameters of the system and its individual components. Based on the data obtained, the formation of the working zones of the system was carried out, where the requirements for the accuracy of determining coordinates and the probability of detecting lightning discharges were met. In conclusion, the prospects for the development of the proposed model are discussed, including the possibility of further improving algorithms for finding optimal monitoring system structures. A further study of the dependence of the estimates obtained on the input parameters of the complex model is proposed. The scope of the model covers tasks related to forecasting and analyzing thunderstorm activity, and can also be used to develop new monitoring systems or optimize existing solutions.

The article discusses the current problem of identifying threats in the medical Internet of Things. In modern medicine, medical Internet of Things devices play an important role in improving the quality and availability of medical services. They help in diagnostics, monitoring the condition of patients and performing medical procedures. On the other hand, the growing use of the medical Internet of Things leads to an increase in the risk of cyberattacks, which can have serious consequences for the health of patients and the operation of medical institutions. Network attacks on the medical Internet of Things can lead to the leakage of confidential information, disruption of vital monitoring systems and even a threat to the lives of patients. Therefore, ensuring the security of the medical Internet of Things is an important task for researchers, developers and medical organizations. One of the promising approaches to ensuring the security of the medical Internet of Things is the use of machine learning methods to detect and identify network attacks in traffic transmitted between patients and a medical institution. Machine learning allows you to create models that can automatically learn based on the analysis of large amounts of data and identify anomalies in traffic that may indicate a network attack. The article provides the infrastructure of the medical Internet of Things and discusses traffic transmission protocols that allow you to see areas of data transmission vulnerable to attacks. Software implementation of several popular machine learning algorithms has been completed, which can be used to detect network attacks in medical Internet of Things traffic. The most effective machine learning algorithm in terms of classification metrics is recommended for implementation as an intrusion detection system at each traffic receiving node - the coordinator, base stations, routers and firewalls.

This article examines the current issues of the development of digital counterparts of mechanical engineering products in the context of advanced manufacturing technologies, with special emphasis on the use of specialized software for processing scanned external surfaces of physical objects. The research presented in this paper is aimed at identifying the key factors affecting the complexity of creating digital counterparts of mechanical engineering products. As part of the work, techniques have been developed to increase the accuracy of creating digital counterparts of physical objects with damaged or worn work surfaces. The article provides real-world examples of the use of software tools to solve practical problems related to the creation of digital twins. A detailed analysis of the factors influencing the complexity and labor intensity of the work is carried out, with an emphasis on the influence of the modes of software processing of polygonal models of scans of parts and their impact on the accuracy of 3D modeling. The results of the study have a wide range of practical applications in various industries, including mechanical engineering, automotive, tractor construction, information technology and others. The data obtained allows us to optimize the processes of creating digital twins, increasing the quality and efficiency of work. The paper also highlights the impact of software and work organization on the qual ity of digital counterparts of machine parts being developed. The study allows us to deter mine the optimal approaches to software selection, workflow optimization and resource management, which ultimately helps to reduce the complexity and increase the accuracy of creating digital twins. It is important to note that the development of digital twins is a com plex process that requires an integrated approach. It is necessary to take into account many factors, ranging from the type of object being scanned and its condition, ending with the functionality of the software and the qualifications of specialists. The application of the developed techniques will improve the accuracy and speed of creating digital twins, which in turn will lead to a reduction in the development and implementation of new products, as well as increase the efficiency of production processes.

Foreign telecommunication systems use frequencies below 3 kHz, which are called extremely low frequencies (ELF). The efficiency of radiation of electromagnetic waves of such frequencies by ground-based antenna devices is low. The discovery of the Getmantsev effect supposedly made it possible to use ionospheric current structures, which were called electric jets or electrojet, as emitters of electromagnetic waves in this frequency range. In works devoted to the active influence on the ionosphere of high latitudes in order to generate electromagnetic radiation ELF, the term "Polar electrojet antenna" (PEJ antenna) is used in relation to these structures. Research in this direction has been and is being carried out on various heating stands using quite complex technologies, however, significant efficiency of such telecommunication systems has not been achieved. One of the reasons for this may be the low efficiency of the radiating system – the electrojet. Based on the analysis of theoretical works devoted to PEJ and experimental studies carried out on the EISCAT and HAARP heating stands, the radiation efficiency of the ionospheric current system in polar latitudes is assessed. It has been established that the low efficiency of the electrojet as a radiating system is most likely due to: low conductivity of ionospheric plasma; the insignificant dimensions of the emitter, which were initially assumed to be comparable to the dimensions of global ionospheric current structures.

Currently, technology for analyzing scientometric indicators of individual scientists and universities plays an important role in managing organizational systems in terms of implementing publication programs of scientific organizations. New international, research teams are constantly emerging, developing and actively interacting to solve various fundamental and applied problems. At the same time, publication activity indices are used to assess the state and prospects of research activities of authors and organizations, their comparison and ranking in various ratings. This article continues a series of studies by authors aimed at establishing the relationship between formal scientometric indicators of article authors and the success of the peer-review process. The article analyzes peer-reviewing results of the international conference TIRVED-2024, held with the technical support of IEEE, with the publication of articles in the IEEEXplore electronic library. The distribution of indicators by sections and scientometric analysis of conference materials by authors' and organizations' h-index are carried out. The relationship between authors scientometric indicators and the article's review success is revealed.

The article explores the broader aspects of constructing synchronization systems of modern industrial, transport, and energy infrastructure facilities built with extensive use of telecommunications and information technologies. They authors emphasize the excessive dependence on Global Navigation Satellite Systems (GNSS) as the integral component of the link between the master clock of a remote site and the UTC laboratory. The suggestion is to employ the technology of coherent synchronization systems based on fiber-optic transmission systems as an alternative to GNSS. This will lead to a significant improvement in the stability of synchronization systems and the quality of telecommunication services provided, as a result.

Based on the results of an analysis of foreign publications of the last ten years in the field of device positioning in cognitive radio systems and networks of the fifth and sixth generations, we can state the emergence of a new scientific direction - personal radars. Their practical implementation became possible with the transition of transceivers to the range of millimeter and submillimeter waves, as well as due to the widespread use of multi-element antenna arrays both at base stations and on user devices. In mobile radio networks of the fourth and fifth generations, the problem of determining the location of user devices was solved centrally, predominantly using multi-position range and/or angle methods, when signals received or transmitted by several base stations served to collect primary measurements of signal time and/or angle of arrival/departure. In contrast to the centralized multi-position estimation of coordinates in existing com munication networks, the concept of a personal radar in promising sixth-generation cognitive radio systems with a device-centric architecture makes it possible to solve the problem of positioning a user device using a single-position method based on a signal from a singlebase station. The single-position method is based on the sparse property of a millimeter-wave radio channel, its representation in the beam space domain, as well as the use of a compressed sensing algorithm in space based on a set of departure and arrival angles. This work is devoted to the development of mathematical and simulation models to establish the accuracy limits and conditions for the practical feasibility of a single-position method for estimating the coordinates and orientation of user devices based on a signal from a single base station in sixth-generation cognitive radio systems operating on the principle of a personal radar. The presented mathematical formalization and software implementation of the single-position positioning method showed its performance on a plane when estimating the coordinates and orientation of the device with an accuracy of up to units of meters and units of degrees.

Transport security occupies an important place in the system of sustainable functioning of a smart city. Ground electric transport is one of the main passenger carriers within cities. The constant development of technologies in the field of transport and information leads to the need to pay more attention to the problems existing in this industry. The article explores the issues of information support for officials of the state fire supervision authorities of the EMERCOM of Russia on the basis of decision support on the calculation of material damage from fires using the example of calculating damage as a result of the destruction of vehicles. A mathematical model for calculating material damage from a fire on a vehicle is considered in accordance with the Methodological Recommendations on the organization of the calculation of material damage from fires of the EMERCOM of Russia. An algorithm and a software tool for calculating material damage caused by fire to vehicles are presented. Calculations of material damage as a result of the destruction (damage) of a vehicle by fire using a software tool are carried out and conclusions are drawn about the adequacy and correctness of the methods and algorithms used to support decision-making by officials of the state fire supervision authorities of the EMERCOM of Russia.

At present, due to the constant growth of the volume of transmitted information, more and more attention is paid to the issues of the possibility of increasing the transmission speed due to the use of the transmission mode "above the Nyquist rate". Despite the relevance of this research topic, due to rather large mathematical difficulties, it is difficult to obtain significant results. One of the theories that allows for a breakthrough is the rapidly developing theory of resolution time developed for phase radio engineering data transmission systems and information measuring optoelectronic systems with PAM-signals with square pulses. This paper presents a novel method for capacity and resolution time estimations with polynomial computational complexity that does not depend on the size of the channel alphabet of PAM-n-signals and is determined only by the effective memory value. The shape of pulse of PAM-n-signals has arbitrary form and amplitudes take only possitive values. The method also allows estimating the time limiting possible deviations due to the sampling error in time, at which the information about the channel symbol will be read error-free or with a given error probability.

This article dwells upon the peculiarities of optimal groupage cargo arrangement in a semitrailer algorithm. Nowadays it is quite important to optimize logistics processes due to high demand of this kind of service. The author describes a developing and designing process of special application that automatically arranges cargos in a semitrailer. The text gives valuable information referred to a semitrailer structure and logistics. It is spoken in detail about eight steps explaining the whole process of development. Much attention is given to one particular step explaining application operation in stages. Such an application is rather user friendly, so any logistics manager can use it without instructions. The solution is applicable to real use case with some final improvements towards compatibility with other systems and also this solution helps in speeding up some workflows in logistics services, so some funds can be saved. The exact amount of savings can differ from company to company due to individual internal structure. Summing up the results, it can be concluded that the solution is rather multipurpose, in other terms it can be applicable to multiple companies with some refinements due to specific company's requests.