Електронний репозитарій ПДАУ
Полтавський державний аграрний університет
Електронний репозитарій (сховище, архів) наукових публікацій – електронний архів результатів науково-дослідної роботи, публікацій науковців, викладачів, аспірантів та студентів університету, кваліфікаційних робіт студентів для їх централізованого зберігання та надання відкритого доступу до них світовій академічній спільноті у режимі онлайн.
Нові надходження
Developing a set of models to support intelligent decision support systems
(Eastern-European Journal of Enterprise Technologies, 2026) Odarushchenko, O. B.; Одарущенко, Олена Борисівна
Intelligent decision support systems are the object of the study. The problem addressed in the study is the improvement of the validity of the functioning of intel¬ligent decision support systems. The hypothesis of the study is the possibility of increasing the effi¬ciency of the functioning of intel¬ligent decision support systems due to the development of a set of mathematical models of their functioning.
The originality of the study consists of:
– comprehensive assessment of the state of functioning of intel¬ligent decision support systems due to multi-level assessment;
– modeling of possible states of functioning of intelligent deci¬sion support systems;
– reconfiguring the number of input parameters to model the functioning process of intelligent decision support systems due to the use of evolving artificial neu¬ral networks, which achieves an increase in the efficiency and reli¬ability of the received decisions and evaluations;
– setting the number of input channels of destructive influence for their accurate assessment due to the use of queuing theory;
– setting the input parame¬ters of the models by adjusting the parameters of the member¬ship function of evolving artificial neural networks, which achieves an increase in the accuracy of modeling the state of function¬ing of intelligent decision support systems.
Modeling of the proposed set of mathematical models of the functioning of intelligent decision support systems was carried out. In the course of modeling, it was established that an average of up to 20% gain is ensured in the effi¬ciency and reliability of calcula¬tions, while ensuring an average level of use of hardware resources
Development of a scientific and methodological apparatus for ensuring the functional reliability of special-purpose information systems
(European Journal of Enterprise Technologies, 2025) Odarushchenko, O. B.; Одарущенко, Олена Борисівна
The object of the study is informa¬tion systems. The research addresses the problem of increasing the accu¬racy of modeling the functioning pro¬cesses of information systems. A poly-model complex for resource manage¬ment in information systems has been developed.
The originality of the research is ensured by:
– a comprehensive description of the functioning processes of vari¬ous types of information systems through the development of corre¬sponding mathematical expressions, which enhances the accuracy of mod¬eling for subsequent managerial deci¬sion-making;
– the inclusion of both static and dynamic processes occurring within information systems, using a hierar¬chical system of interconnected mathe-matical models;
– the ability to model either an indi¬vidual process within an information system or to perform integrated model¬ing of multiple processes using a single or a set of mathematical models;
– a dynamic description of the process of controlling the trajecto¬ry of information systems during their operation through proposed analytical expressions, enabling forecasting of the system’s behavior N steps ahead;
– modeling the process of opera¬tions management during computa¬tional tasks within the functioning of information systems, which allows for planning of optimal load distribution on the hardware components;
– simulation of the dynamics of resource management in information systems during their operation, making it possible to forecast the engagement of resources throughout their lifecycle.
The proposed polymodel complex is advisable to use for solving man-agement tasks of information systems characterized by a high level of com¬plexity.
Development of a polymodel complex of information systems resource management
(European Journal of Enterprise Technologies, 2025) Odarushchenko, O. B.; Одарущенко, Олена Борисівна
The object of the study is informa¬tion systems. The research addresses the problem of increasing the accu¬racy of modeling the functioning pro¬cesses of information systems. A poly-model complex for resource manage¬ment in information systems has been developed.
The originality of the research is ensured by:
– a comprehensive description of the functioning processes of vari¬ous types of information systems through the development of corre¬sponding mathematical expressions, which enhances the accuracy of mod¬eling for subsequent managerial deci¬sion-making;
– the inclusion of both static and dynamic processes occurring within information systems, using a hierar¬chical system of interconnected mathe-matical models;
– the ability to model either an indi¬vidual process within an information system or to perform integrated model¬ing of multiple processes using a single or a set of mathematical models;
– a dynamic description of the process of controlling the trajecto¬ry of information systems during their operation through proposed analytical expressions, enabling forecasting of the system’s behavior N steps ahead;
– modeling the process of opera¬tions management during computa¬tional tasks within the functioning of information systems, which allows for planning of optimal load distribution on the hardware components;
– simulation of the dynamics of resource management in information systems during their operation, making it possible to forecast the engagement of resources throughout their lifecycle.
The proposed polymodel complex is advisable to use for solving man-agement tasks of information systems characterized by a high level of com¬plexity.
Automating requirements traceability in project documentation using TraceTrend tool: model, design and application
(Radioelectronic and Computer Systems, 2025) Odarushchenko, O. M.; Odarushchenko, O. B.; Одарущенко, Олег Миколайович; Одарущенко, Олена Борисівна
The object of the study is a formalized model of requirements traceability in project documentation for hardware-software systems. The subject matter of the research encompasses the application of mathematical modeling and tool-based approaches to automate the traceability process, focusing on the design and functionality of the TraceTrend software tool. The primary goal of the study is to improve the quality and integrity of requirements management by implementing traceability mechanisms that ensure logical consistency, hierarchical correctness, and complete test coverage across all project documentation stages. The research tasks include: identifying challenges related to manual requirements tracing in safety-critical domains; constructing a formal mathemat-ical model based on set theory, binary relations, and directed graphs; defining binary matrices for requirement inheritance and test coverage; developing automated analysis techniques for traceability conditions; integrating the model into the TraceTrend tool; and demonstrating its applicability through a real-world case study. The study employed the following methods: mathematical modeling of binary relations, model-based testing, static analysis of documentation structures, and the use of Boolean matrix operations for verifying coverage and con-sistency. As a result of the research, a formal model of requirements traceability was created and implemented in the TraceTrend tool.
Development of a method for detecting cyber attacks on information systems based on artificial intelligence technologies
(Eastern-European Journal of Enterprise Technologies, 2025) Odarushchenko, O. B.; Одарущенко, Олена Борисівна
The object of this research is arti¬ficial immune systems. The problem addressed in the study is improving the responsiveness of cyberattack detection in information systems while ensuring a predetermined level of convergence, regardless of the num¬ber of destabilizing factors. The sub-ject of the research is the cyberattack detection process.
A cyberattack detection method for information systems based on arti-ficial intelligence technologies is pro¬posed. The originality of the method lies in the use of additional enhanced procedures that allow:
– initializing the initial popula¬tion of swarm agents and verifying information system parameters using an improved bat algorithm, which minimizes the error of entering incor¬rect data concerning the operational information system of military forces;
– performing initial identification of attacks specific to the given infor-mation system using a decision tree;
– adapting to the type and dura¬tion of cyberattacks through multi-lev¬el adaptation of the artificial immune system;
– conducting initial selection of antibodies for each swarm of the artificial immune system using an improved genetic algorithm;
– training general-swarm anti¬bodies using elite-swarm antibodies, thereby enabling deep learning;
– replacing unfit individuals for search through antibody population renewal;
– performing simultaneous solu¬tion search in multiple directions;
– calculating the required amount of computational resources in cases where available resources are insuf¬ficient for the necessary calculations.
An example application of the proposed method was conducted for cyberattack detection in an operation¬al military force group. The results demonstrated an average increase in detection accuracy by 16%, an aver-age improvement in responsiveness by 12%, and a high result convergence level of 95.23%