The study is devoted to increasing the survivability of information systems operating on mobile platforms under limited computational resources and destructive impacts. Our goal is to develop a two-level method for multi-criteria optimization of policies for resource allocation among critical and non-critical services. A mathematical model of information systems based on a mobile platform is offered with consideration of state dynamics, global resource constraints and limitations related to ensuring the system survivability as well as vector criteria that characterize the survivability, efficiency of resource usage and quality of service. In order to decompose the problem, we used the Lagrange function, which allows to distinguish an upper level of policy selection and a lower level of configuring their parameters according to subgradient rules. Method specifics have been studied using a simulation model for several representative scenarios of resource degradation. It is shown that the proposed management regime ensures higher values of an integral survivability indicator in critical services in comparison to the balanced static policy and the strict priority policy while increasing a share of cycles with maintaining target thresholds at approximately 10-15%. At the same time, the average values of the efficient resource utilization remain close to all the considered regimes, and the quality of service metric degrades uniformly without showing prolonged failures even in strict scenarios. The proposed two-level method enables coordinated management of policies and their parameters combining improvement of survivability of information systems on mobile platforms while ensuring rational utilization of platform’s limited resources. The results obtained can be used for designing resource management systems of onboard computing complexes, unmanned and robotic platforms, as well as other mobile systems.

The subject of the study is an integral metric of the survivability of an information system on a mobile platform under intermittent connectivity, partial observability, and cascading and secondary failures. The system is presented as a multilevel "data–processes–resources" structure. The goal of the work is to develop an integrated survivability metric that takes into account time deviations from requirements, their propagation through a dependency graph, and hidden violations; to propose a single-pass algorithm and prove its properties on scenarios. The article solves the following tasks: to formalize service requirements and structure projection; to build a metric with risk-oriented aggregation of deficits, cascading correction, and systematic consideration of secondary failures; to develop single-pass calculations in "availability windows"; to prove monotonicity, scale invariance, and resistance to omissions; to define rules for parameter tuning and configuration comparison; to perform experimental verification and comparison with baseline indicators. The following methods are used: projection of services at the level of data, processes, and resources; use of conditional average excess as risk-oriented aggregation; cascading correction by depth and width; organization of secondary failures and desynchronization fixation; normalization in "availability windows"; single-pass updates close to linear complexity. The following results were obtained: an integrated metric of survivability was proposed and formally defined; its monotonicity in terms of parameters, boundedness, invariance to scaling, and resistance to omissions were proven; the difference from the average deficit was shown – the proposed metric amplifies the contribution of rare deep failures and responds to cascading, while the average values are almost constant; in the absence of service deficits, a positive level is maintained due to the detection of latent secondary failures; scenarios yield consistent families of curves and a three-dimensional surface that demonstrate controllable sensitivity tuning and stable ranking of configurations for industrial mobile platform operating conditions. Conclusions: The proposed metric provides a service-consistent assessment of the state of the information system, while taking into account time deficits, cascading propagation, and secondary failures. It is suitable for sequential computing in resource-constrained environments, enhances early risk detection, and supports monitoring, localization, and survivability.

The research aims to define the tasks of video surveillance at different stages of the construction project life cycle, as well as outline the functional and technical parameters of the choice of video cameras. Using online monitoring systems based on IP cameras and computer vision technologies significantly improves construction management, provides transparency of processes, and increases safety at construction sites. The functional and technical capabilities of the video camera as a component of the multimedia complex of the construction project management office were investigated. The need for video monitoring in the virtual office system for technical support of management processes was analyzed to meet project management standards. It is noted that the video camera should become an important source of obtaining operational information and the basis for making balanced and realistic management decisions in the construction industry. The possibilities of using video cameras on construction sites in the context of construction project management processes are outlined. The proposed mathematical model of choosing a video camera takes into account the functional and technical characteristics and the specifics of application at different phases of the life cycle of a construction project.

In today’s world of information technology and computing science, one of the most promising areas is the development and improvement of computer networks. Over the past decades, significant progress in this area has been observed due to the constant expansion of computing resources, as well as the development of new methods and algorithms for data processing. One of the important branches of computing science is fog computing, which is studied as a tool for modeling and analyzing systems with fuzzy data. Fog computing finds its application in many areas, including artificial intelligence, pattern recognition, decision making, and others. In this paper the specifics of building systems with fog computing were analyzed in detail, and the specifics of using polling networks, in particular sensor networks, were also considered. Various approaches to the integration of polling networks in the context of sensor technologies have been studied, which allows to increase the efficiency of data collection and transmission. Based on the obtained results, a method of organizing fog computing was developed, which takes into account the specifics of modern network architectures. A new architecture of the method is proposed, which contributes to improving the performance and reliability of the system due to the optimization of computing resources and ensuring more efficient data management. Mathematical experiments were also conducted to verify the effectiveness of the proposed solutions, which showed significant improvements compared to traditional methods.

This study explores the application of convolutional neural networks (CNNs) for real-time gaze direction prediction within adaptive learning environments. In response to the increasing demand for personalized education, the ability to monitor learners' attention presents novel opportunities for dynamic content adaptation in learning management systems (LMS) and training management systems (TMS). The research evaluates the performance of four CNN architectures – LeNet, AlexNet, VGGNet, and ResNet – under varying hyperparameter configurations, including batch size, optimizer type, and activation function. Experiments employ the synthetic UnityEyes dataset alongside a custom test set comprising video recordings of actual user behavior. The results indicate that ResNet and VGGNet achieve the highest accuracy (up to 85%) and the lowest loss values when combined with Swish or GELU activation functions and AdamW or SGD optimizers. These findings underscore the importance of selecting appropriate architectures and hyperparameters for effective gaze-tracking applications. Furthermore, the study proposes a novel method for determining the user's area of visual attention through gaze vector analysis, implemented using TensorFlow, Keras, OpenCV, and Mediapipe. This approach enables real-time adaptation of learning content – such as prompts, interface modifications, or supplementary explanations – based on observed visual activity. In contrast to traditional static methods, the proposed solution enables dynamic personalization of the learning experience. A comparative analysis of model accuracy and training efficiency demonstrates the potential of gaze-based systems to enhance inclusive educational technologies. Future research will aim to improve system robustness against variations in lighting, head orientation, and partial facial occlusion, as well as to integrate gaze-controlled content navigation modules tailored for learners with special educational needs.

The work is devoted to the methods of parallel processing of spectral data of astronomical objects, which is an important aspect in many scientific fields, in particular in astronomy when studying physical processes and chemical composition of space objects. The relevance and practical significance of the work is caused by the increase in the amount of spectral data obtained from modern radio telescopes, which requires new approaches to their processing. The use of GPU-based massively parallel computers provides fast and efficient processing of large data sets, which is critical for modern astronomical research. This paper proposes an improved model for processing spectral data of astronomical objects using parallel computing on GPUs. The aim of this paper is to analyse the efficiency of using computers with an array-parallel architecture for processing spectral data of astronomical objects. To achieve this goal, the following methods were analysed and used: morphological operations, methods of preliminary data normalisation, methods of load balancing during parallel processing of input data, methods of massively parallel computing, methods of creating windows and graphic elements. The study results showed that with large amounts of data, the GPU is more efficient than the CPU, providing more than 1.6 times the speedup. For example, when the initial dataset size specified in the experiment was increased, the processing time on the GPU (0.091471 seconds) was significantly less than on the CPU (0.126231 seconds). Further research will focus on improving the algorithms for parallel processing of spectral data, expanding the functionality of the tools used, and adapting the model for new applications in astronomy.

Fog computing extends the capabilities of cloud computing by enabling computing at the edge of the network, involving devices such as mobile collaborative devices or fixed nodes with integrated storage, computing, and communication capabilities. Fog computing offers benefits such as improved efficiency, increased security, savings in network bandwidth, and increased flexibility. In order to provide a complete understanding of Fog computing, this paper presents its salient features and highlights the differences from cloud computing research. Cloud computing is an emerging technology that offers computing resources on a pay-per-use basis. It provides three service models, and the cloud offers cost-effective centrally managed resources for reliable computing for specific tasks. This document presents a comparison between Fog computing and cloud computing, highlighting the differences in design, deployment, services, and tools available to organizations and users. By explicating the distinctiveness of fog computing and its contrast to cloud computing, we contribute to the field by shedding light on the unparalleled potential of fog computing in conserving resources while delivering robust computational solutions at the network periphery. Our study offers a new perspective that challenges the prevailing practices and extends the discourse on optimizing distributed computing architectures.

The concept of the Internet of Things became the basis of the fourth industrial revolution, which allowed to transfer the processes of automation to a new saber. As a result, automation systems, such as smart homes, healthcare systems and car control systems, have become widespread. The developers of such systems primarily focus their efforts on the functional component, leaving safety issues in the background. However, when designing and operating IoT systems, it is equally important to assess potential bottlenecks and develop complete and comprehensive strategies to mitigate and eliminate the negative effects of cyberattacks. The purpose of this study is to identify possible cyber threats and assess their impact on critical information objects in the smart home system. To achieve this goal, the three-level architecture of the smart home system is considered and a review of known cyber threats for each level is conducted. The critical information objects in the smart home system are the containers in which the information objects are stored, the risk assessment criteria and the cyber threat scenarios. The information security risks of the smart home system were assessed using the OCTAVE Allegro methodology for the information object that presents the information collected by the smart home sensors.

Contemporary requirements for a gender-responsive educational management system with an emphasis on the STEM industry is outlined. The need for the use of gender audit of higher education institutions (HEI) is indicated. It is noted that the management system should be capable of greater integration of gender-sensitive components. A matrix of parameters of gender maturity of the organizational system of HEI is proposed. It includes five basic principles of gender equality defined by the World Economic Forum (“gender equality in the workplace”, “gender-balanced management”, “gender-equitable organizational processes”, “promoting equal participation of women and men in decision-making”, “promoting development of the leadership potential of women”). The contextual requirements for a gender-responsive educational management system are structured. G. Kerzner's project management maturity model was applied to improve the author's method of measuring gender activity in HEI. The results of an experimental study of assessing the gender maturity of the management system are presented on the example of Ukrainian universities.

Предметом досліджень статті є лінійні стохастичні динамічні системи управління кінцевим положенням. Метою роботи є синтез ефективних чисельних алгоритмів машинного проектування лінійних стохастичних динамічних систем управління кінцевим положенням. Завдання дослідження полягають у побудові алгоритмів синтезу, заснованих на застосуванні методу інверсійно-сполучених систем, а також на зниженні розмірності простору параметрів, що оптимізуються. Застосовувані методи: інверсійно-сполучені системи для формування критерію якості, методи зниження розмірності простору параметрів, що оптимізуються на підставі спектрального аналізу матриці кривизни. Отримані результати: пошук оптимальних параметрів у запропонованому підпросторі може здійснюватися всіма методами першого або другого порядку з використанням спроектованих матриць. При досягненні в підпросторі точки мінімуму критерію у ній обчислюються градієнт та кривизна і на підставі спектрального аналізу будується новий підпростір запропонованого типу з наступним повтором процесу оптимізації. Запропонована стратегія пошуку скорочує кількість кроків оптимізації. Практична значущість роботи полягає у тому, що з використанням матриць сполучених змінних отримані ефективні способи обчислення градієнта та кривизни критерію оптимізації. Оскільки час обчислення градієнта за запропонованими залежностями в основному визначається часом інтегрування рівнянь для сполучених матриць, то воно приблизно дорівнює часу інтегрування рівнянь для визначення фундаментальної матриці та дисперсії.

Scientometric data from bibliographic and reference databases with a limited user interface are used to analyze the effectiveness of the scientific staff, educational and educational institutions in the field of science. Automation of the process of obtaining the author's scientometric indicators from bibliographic and reference databases through a limited user interface could accelerate the creation of a picture of the scientometric activity of the institution's employees. The main goal of quickly obtaining the author's scientometric indicators from bibliographic and abstract databases through a limited user interface is a significant saving of human resources during the manual analysis of these data. Also in this case, the possibility of errors during manual data collection is minimized. Data collection can be done in a variety of ways and means. Among those considered in the article: data parsing, receiving data through the application program interface and receiving data through third-party software solutions supplied by companies. The paper considers approaches to obtaining and processing these data.

The high efficiency and reliability of the Tactile Internet (TI) primarily depends on the construction of the architecture of the distributed service platform. Therefore, the main goal of the work is to analyze and present an effective solution for building a Tactile Internet domain architecture model with high reliability, availability, and low latency. In this article, the domain architecture consists of three sections, namely: master, slave, and network domains. Using haptic commands and haptic feedback signals, the master and slave domains communicate across the network domain. To implement the construction of the network domain architecture, the article proposes the use of a new technology, such as mobile edge computing (MEC) with an open fog structure (OpenFog).

The work is dedicated to the development of the system to define the credibility of text messages posted in Telegram newsfeeds. The topicality of the work is stipulated by the concentration of information and its ability to influence shaping of the social opinions on the state relations and political moods via news feeds in messengers and social networks, the number of which is constantly growing and supported by bots and biased authors. The proposed system functions on the basis of coordination of text parsing, text processing, database with messages from the official sources of information, and the client (author) database. The degree of similarity of the generated text messages is determined on the basis of defining Damerau-Levenshtein distance in the Text Processing Module. The work shows it is possible to increase the efficiency (up to 1,44 times for messages of around 1500 symbols) of the given module performance through incoming messages stemming at the preprocessing stage because this enables to reduce the computational complexity of Damerau-Levenshtein method at the expense of word shortening to their stem via neglecting auxiliary parts such as suffixes and endings. Thus, stemming helps to reduce the amount of symbols to be processed at the very stage of Damera u-Levenshtein algorithm application, which proves feasibily of applying stemming in the preprocessing block.

The chapter is devoted to the actual scientific and technical problem of implementation the secure remote control of overlay networks, presented in the form of intelligent mobile objects. The specificity of this class of networks is the use of existing cellular communication networks as a data transmission medium. The security of data transfer processes between the nodes of the overlay network is ensured by using the technology of private virtual networks. The chapter also shows options for using their modifications: with route regeneration for high-mobility networks and technology for nesting tunnels in low-mobility networks. Therefore, additional tasks were solved related to the choice of the trajectory of the nodes behavior in autonomous operation, ensuring a given level of survivability and reliability of the overlay network in terms of routing dynamics. The chapter shows the results of modeling various network attacks aimed at intercepting and replacing traffic in the chain “intelligent mobile object - control node”. A mathematical model is proposed for regenerating data transmission routes in a network from the point of view of Markov and semi-Markov processes. Examples of solving the problem of finding a quasi-optimal solution under conditions of lack of time for the regeneration of data transmission routes are given using the Wald scheme as an example. The obtained numerical studies of the proposed models prove the efficiency of the proposed approaches. Using the proposed approaches, it is possible to create full-fledged network segments within the global urban networks that provide the concept of “smart city”. Numerical studies have shown that data transmission with a sufficient degree of reliability is achieved while maintaining losses in the range from 7

The current state of the problem regarding secure control of smart mobile objects using existing tele-communication infrastructures is described in the paper. The scientific and technical task of developing the principles of using cellular communication systems for the organization of secure remote control of intelligent mobile objects has been solved. The solution lies in the use of overlay computer networks based on VPN tunneling. Proposals have been developed for constructing an overlay computer network based on VPN taking into account traffic aggregation as well as dividing network elements according to their purposes. The related problems of connection dependability at the access, distribution and core levels are considered. The possibility of using nested VPN tunneling in high-speed cellular communication systems to improve the security of transmitted data is analyzed. The result of a number of model and experimental studies is the proof of the proposed principles efficiency. Recommendations have been developed for using the proposed principles of constricting an overlay network based on cellular communication systems for the secure control of intelligent mobile objects in solutions related to the implementation of dependability and resilience of computer networks concept.

The article discusses the features of the functioning of mobile computer networks based on small-sized aircraft (highly mobile computer networks). It is shown that such networks, in contrast to stationary or low-mobile ones, have a low level of survivability in case of local damage to their nodes. The purpose of the article is to develop a method for ensuring the survivability of highly mobile computer networks under conditions of destructive external influences, which leads to local destruction of network nodes or links between them, using the method of assessing survivability at all stages of network functioning, by changing the main function to implement all available strategies for the functioning of the network when determining the critical values of the integrity of the network and its ability to perform at least one of the available functions. The results obtained allow: to continue the development of theoretical research in the development of strategies for managing highly mobile computer networks in extreme situations; to develop an applied solution to ensure the survivability of highly mobile computer networks by building multifunctional or redundant structures, increasing the value of their redundancy. The studies allow us to conclude that the proposed method can be used at the design stages of highly mobile computer networks, characterized by increased survivability and capable of functioning in conditions of multiple local damages without catastrophic destructive consequences for the network structure.

Computer networks based on a mobile platform are becoming widespread. There are a number of characteristics according to which such networks can be classified. One such class is high-survivability computer networks based on a mobile platform. Such networks are characterized by fault tolerance of nodes, architecture, routing schemes and other parameters. Theoretical developments allow calculating the behavioral strategies of such networks depending on the events that affect the network functionality. But there is a fairly small set of methods that can determine the fault-tolerant performance probability of networks belonging to this class at the stage of planning network operation in an unfavorable environment. Thus, it is important to develop a numerical method for determining the fault-tolerant performance probability of a high-survivability computer network based on a mobile platform for implementation in megasystems for planning long-term operations using this class of networks. The paper presents the essence of the offered method on an example of the mathematical description of a network and states of its functioning, a trajectory of behavior, examples of calculating the indicators of fault-tolerant performance probability on the set time interval for various states of a network are given. It is concluded that the numerical method can be used to determine the reliability of the network, for which the methods of accelerated modeling, analytical-statistical and artificial moments of regeneration cannot be applied. The use of the developed method in the study of highly reliable networks based on a mobile platform, which contain non-regenerative elements, is proposed.

В статті розглянуто особливості функціонування рухомих комп’ютерних мереж на базі малогабаритних літальних апаратів (високомобільні комп’ютерні мережі). Показано, що такі мережі, на відміну від стаціонарних або маломобільних, відрізняються низьким рівнем живучості при локальних пошкодженням їх вузлів. Метою статті є розробка методу забезпечення живучості високомобільних комп’ютерних мереж в умовах деструктивного зовнішнього впливу, що призводить до локальної руйнації вузлів мережі або зв’язків між ними, з використанням методики оцінки живучості на всіх етапах функціонування мережі, шляхом зміни основної функції для реалізації всіх доступних стратегій функціонуванням мережі при визначенні критичних значень цілісності мережі та здатності її виконувати хоча б одну із доступних функцій. Отримані результати дозволяють: продовжити розвиток методики оцінки живучості комп’ютерних мереж в умовах деструктивного зовнішнього впливу; застосовувати розроблений метод для визначення критичних порогів живучості мережі відносно основної функції та зміни основної функції, відповідно до стратегій функціонуванням високомобільної мережі. Дослідження дозволяють зробити висновки, що запропонований метод може бути використаний на етапах проектування високомобільних комп’ютерних мереж, які характеризуються підвищеною живучістю та здатні функціонувати в умовах множинних локальних пошкоджень без катастрофічних руйнівних наслідків для структури мережі.

A solution of a modified traveling salesman problem for the case, in which a group of intelligent mobile objects is simultaneously involved, is discussed in the article. For this purpose, a review and a comparative analysis of Johnson's algorithms and the branch and bound method have been carried out. It was found that these algorithms are ineffective for solving the modified traveling salesman problem for a group of intelligent mobile objects, therefore, a quest method has been further developed as a solution to this problem. The results of experimental calculations are presented. The directions of further work on the unification of the developed method for constructing structures of fast step-by-step data processing are proposed.