Harvester open publications of NAS Ukraine
Harvester open publications of NAS UkraineNot a member yet
2350 research outputs found
Sort by
Optimization problems solution for queuing systems with failure under uncertainty
No full textThe mathematical models of the functioning quality of computer networks that can be represented in the form of queuing networks with failures are described. The problems of optimizing the functioning quality of such networks under given constraints on the maximum bandwidth of communication channels and allocated to upgrade the network resources are defined. Algorithms that allow solving optimization problems within the specified limits are built.Prombles in programming 2011; 4: 108-11
Digital twins in intrusion detection systems based on deep learning
Full text linkThis work aims to improve the accuracy of attack detection in software and hardware systems by utilizing a digital twin in the form of an algebraic model within intrusion detection systems (IDSs) based on deep learning neural networks (DNNs). This approach addresses the shortcomings of training and dataset imperfections that lead to numerous false positives, undetected intrusions, and weak resistance against adversarial attacks. We propose an IDS architecture that combines deep learning neural networks with an algebraic model at the required level of abstraction. This composition provides high detection accuracy and enables continuous self-learning of the IDS based on model operation and data acquisition, including zero-day attacks. Two examples demonstrate the application of this approach: detecting attacks in the binary code of a software system and in a programmable integrated circuit.Problems in programming 2025; 2: 20-2
Integrated security systems for protecting payment synchronization from MITM attacks
Full text linkThe article addresses the challenge of securing payment synchronization against Man-in-the-Middle (MITM) attacks in multichannel payment systems, where cash, card, and online transactions are integrated with CRM and accounting platforms. It examines MITM attack scenarios and their impact on transaction integrity. A multi-layered security framework is proposed, leveraging artificial intelligence techniques, cryptographic methods (digital signatures and timestamps), and additional client verification mechanisms. The model enhances resilience against fraud, replay attacks, and data substitution, ensuring high reliability and scalability across electronic transaction systems.Prombles in programming 2025; 2: 28-3
Фітохімічний профіль листків Liquidambar styraciflua L. в умовах м. Києва
No full textFor the first time in Ukraine, phytochemical studies of the raw material of Liquidambar styraciflua L. were conducted. In particular, the content of the main groups of biologically active compounds in the leaves of these plants was analyzed, including flavonoids (catechins, leucoanthocyanins, anthocyanins), vitamins (ascorbic acid), pigments (carotenoids, chlorophylls), polysaccharides, and tannins.It was found that flavonoid compounds in the leaves of L. styraciflua contain 356.13 mg % of catechins, 151.86 mg % of anthocyanins, and 872.93 mg % of leucoanthocyanins. This composition of secondary metabolites is supplemented by ascorbic acid (51.43 mg %), polysaccharides (3.50 %), and a significant amount of tannins (5.07 %). There is also a relatively high content of lipophilic compounds – carotenoids (49.01 mg %) and chlorophylls (220.60 mg %). The results of the studies advocate the prospective application of L. styraciflua plants as a source of flavonoid compounds, vitamins, and other biologically active substances. The results of this study can be helpful for identifying the Liquidambar species and searching for new promising phytochemical sources for the pharmaceutical, food, and cosmetic industries
Роль наукового обміну насінням у формуванні колекцій Національного ботанічного саду імені М.М. Гришка НАН України
No full textThe paper deals with the role of the Seed Laboratory in developing and maintaining the plant collections of the M.M. Gryshko National Botanical Garden of the National Academy of Sciences of Ukraine. The paper summarizes the results of 80 years of work related to the scientific exchange of seeds and planting material. The contributions made by different departments of the Botanical Garden to this process are analyzed. As a result of continuous documentation activities, the register of incoming plant material currently comprises 98 accession journals. Over the entire period of its activity, the Seed Laboratory has maintained scientific contacts with more than 600 botanical institutions in Ukraine and abroad. At present, active exchange of plant material is carried out with 165 botanical gardens and research centers that regularly submit seed requests. Most collaborations involve European institutions. While exchanges with botanical organizations in Asia, North America, and Africa occur less frequently. The Index Seminum issued by the Botanical Garden is published electronically every two years. Nearly all departments of the Botanical Garden participate in the seed exchange network. Since 2004, within the framework of the research program of the Department of Natural Flora, work has been conducted on establishing a specialized seed collection of rare and endangered plant species of the flora of Ukraine. This collection includes seeds gathered during field expeditions as well as seeds obtained from ex situ cultivations maintained by various departments, including Natural Flora, Dendrology and Park Science, Cultural Flora, Flowering-Ornamental Plants, Tropical and Subtropical Plants, and the Laboratory of Medical Botany. Currently, the collection comprises 472 species belonging to 82 families. The paper also presents photographs of plants cultivated from seeds obtained through scientific exchange. It demonstrates the practical outcomes of the Seed Laboratory’s activities. Information is also provided about the carpological collection developed within the laboratory. Today, the carpological collection contains 17827 samples belonging to 1630 genera, 7266 species, and 218 families. Possible directions for further expansion and improvement of the carpological collection are proposed
Музей історії Національного ботанічного саду імені М.М. Гришка НАН України від заснування до сьогодення: концепція та розвиток
No full textThe prerequisites and concept for creating the Museum of the History of M.M. Grychko National Botanical Garden of the NAS of Ukraine are highlighted. The names of scientists who contributed to its foundation, from the initial idea to the creation of a temporary exhibition, are provided. The purpose of creating the museum and the target group of future visitors are outlined.The most valuable museum exhibits are described. It is noted that the primary source of funds for a collection expansion at the museum comes from veterans of the botanical garden and their descendants. Several monographs and numerous articles have already been written based on the museum’s collections
Geographic information intelligent systems based on modern information technologies for digital terrain modelling
No full textThe article presents a comprehensive analysis of modern approaches to digital terrain modeling based on intel ligent geographic information systems and advanced information technologies. It highlights the evolution of terrain modeling methods — from traditional GIS technologies to the integration of artificial intelligence ap proaches (the GeoAI concept). The purpose of the study is to generalize the capabilities and advantages of ap plying artificial intelligence (machine learning, deep learning, and computer vision) to digital terrain modeling tasks and to identify prospects for the development of such intelligent systems. The study explores the application potential of supervised machine learning algorithms (decision trees, Random Forest, SVM) for landform classification and remote sensing data processing, as well as deep learning methods (CNN) for automatic pattern recognition and semantic terrain segmentation. Examples of intelligent GIS solu tions are provided in various applied fields: slope stability monitoring systems with landslide forecasting, flood risk assessment models, and military terrain planning systems with drone route optimization. The main results demonstrate that the implementation of AI technologies enables unprecedented detail and automation in terrain analysis. Modern geospatial intelligent systems are capable of integrating heterogeneous data sources (LiDAR scans, satellite imagery, drone data, ground sensors) and updating digital terrain models in real time, thereby supporting decision-making in land management and emergency response.The future development of GeoAI is defined by the continued integration of diverse data sources, the transition from static 3D models to dynamic 4D terrain representations, semantic enrichment of digital models (land scape ontologies, object detection), and their integration into the concept of territorial digital twins. It is con cluded that the synergy of traditional GIS tools with state-of-the-art artificial intelligence technologies is transforming the field of digital terrain modeling, opening new horizons for scientific research and practical applications.Problems in programming 2025; 3: 79-9
Conceptual models of distributed component systems
No full textThe paper proposes formal models of software systems (SS) and their families (FS) for their use in a distributed environment. Their design begins with the object model of the subject area (SA) and ends with the construction of the corresponding component models. The basis of the PS and SPS are interoperability and variability models that define how the systems function with each other. The link between the PS and the SPS is the interface that transfers data between systems and environments for execution and formation of new variants of the software product. A significant part of the described models and operations of their implementations is presented on the website of the instrumental and technological complex of the ITC IPS of NASU.Problems in programming 2013; 2: 13-2
Using ontological knowledge in recommender systems
No full textThe main functions of recommender systems and criteria of their classification are analysed. Methods of recommendation generation based on the ontological model of knowledge about users and resources and its use in the semantic search system MAIPS are proposed.Problems in programming 2013; 2: 71-8
To the problem of pursuit on the plane
No full textWe propose a formulation of the problem of pursuit on a plane from the point of view of a multi-agent approach. The differences that distinguish the proposed formulation of the problem from the formulation of such a problem from the point of view of the theory of differential games are shown. A list of methods to be developed is given.Prombles in programming 2013; 2: 95-10