The International Conference on Security, Fault Tolerance, Intelligence https://icsfti-proc.kpi.ua/ <p>The conference is organized by KPI named after Igor Sikorskyi and is dedicated to the memory of the outstanding scientist, teacher of the Department of Computing, Professor Shirochyn. Co-organizers of the conference on behalf of the university are the Faculty of Informatics and Computer Engineering, the Faculty of Applied Mathematics. The purpose of the conference is to discuss scientific results and exchange experience between scientists conducting research in the field of computer engineering, software engineering and technical education.</p> en-US Tue, 29 Apr 2025 18:16:41 +0000 OJS 3.2.1.2 http://blogs.law.harvard.edu/tech/rss 60 NASCA METHOD: A COMBINED CNN-CVAE METHOD FOR MULTI-CLASS RESPIRATORY DISEASE DETECTION FROM AUSCULTATION DATA https://icsfti-proc.kpi.ua/article/view/328424 <p>This paper presents the NASCA method, which combines convolutional neural networks (CNN) and convolutional variational autoencoders (CVAE) to enhance the classification of lung auscultation sounds under limited and imbalanced data conditions. The method integrates data preprocessing, synthetic augmentation, and robust deep learning classification with strict control against data leakage. Experiments conducted on the ICBHI dataset achieved an F1-score of 98.45% in multi-class classification. The results confirm the potential of NASCA for improving early respiratory disease detection.</p> Denis Panaskin Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/328424 Tue, 29 Apr 2025 00:00:00 +0000 IMPROVING REINFORCEMENT LEARNING FOR QUADRUPED ROBOT LOCOMOTION https://icsfti-proc.kpi.ua/article/view/338731 <p>This article addresses the issue of machine learning of a quadruped robot for flexible locomotion, in slower learning environments with limited computational resources. To create a solution, reinforcement learning and a number of techniques are used to improve the result and speed of machine learning.</p> Yehor Hrybenko, Vladyslav Taran Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338731 Mon, 30 Jun 2025 00:00:00 +0000 METHODOLODGY FOR STATISTICAL LEARNING OF NONLINEAR MODEL PARAMETERS WITH THE INTEGRAL FORM OF OLS IN THE SCHEME OF DIFFERENTIAL-NONTAYLOR TRANSFORMATIONS https://icsfti-proc.kpi.ua/article/view/338732 <p>The article presents the methodology for statistical learning of nonlinear model parameters, its principle and efficiency of application. The results of modeling are shown with the statistical characteristics of the obtained expectation compared with the results of the application of the statistical learning methodology using the differential spectra balance.</p> Oleksii Pysarchuk, Oleksandr Tuhanskykh, Danylo Baran Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338732 Mon, 30 Jun 2025 00:00:00 +0000 SENTIMENT ANALYSIS OF NON-ENGLISH TEXT BASED ON NLP TECHNOLOGIES https://icsfti-proc.kpi.ua/article/view/338733 <p>The paper addresses sentiment analysis techniques for texts in languages other than English using natural language processing (NLP) technologies, using Ukrainian texts as an example. A system for classifying the sentiment of Ukrainian news headlines using deep learning methods is presented and two LSTM-based neural network models are developed: one trained on a small manually-labeled Ukrainian text corpus, and another trained on a larger Twitter-based English corpus that was machine-translated into Ukrainian. A comparative evaluation of these models’ performance is conducted, and observations are made about language-specific challenges in sentiment expression for Ukrainian. The advantages and limitations of each approach are discussed and directions for further research in multilingual sentiment analysis are outlined.</p> Valentyn Zhelepa Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338733 Mon, 30 Jun 2025 00:00:00 +0000 AI DRIVEN LOG ANALYSIS IN COMPLEX SYSTEMS https://icsfti-proc.kpi.ua/article/view/338757 <p><span style="font-weight: 400;">The article presents an overview of existing approaches to the application of various AI models and methods for log analysis in complex systems. A comparative analysis of the existing methods is conducted in terms of approaches and functional capabilities.</span></p> Oleksand Pankratov Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338757 Mon, 30 Jun 2025 00:00:00 +0000 CONSTRUCTION OF A SET OF DISJOINT PATHS WITH QOS PARAMETER CONSIDERATIONS https://icsfti-proc.kpi.ua/article/view/338734 <p>The paper contains research of construction of a set of disjoint paths. Construction of a set of disjoint paths provides various benefits and allows to perform load balancing. But most of the methods which were reviewed did not include paths satisfying Quality of Service requirements. Others include but ignore type of traffic. This paper presents a solution, which is designed to address this problem by constructing a set of disjoint paths that satisfy QoS metrics limitations considering type of traffic.</p> Yurii Kulakov , Mykola Onyshchuk Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338734 Mon, 30 Jun 2025 00:00:00 +0000 METHOD OF AUTOMATING WEB APPLICATION DEVELOPMENT https://icsfti-proc.kpi.ua/article/view/338735 <p>The paper is devoted to the study of web application automation and the means to achieve it. Automation of development reduces costs, simplifies maintenance and updates, and allows focusing on business logic. However, selecting the optimal tool among the variety of available solutions remains a challenging task. The article proposes an automation approach based on the integration of modern frameworks and tools, which enhances development efficiency and improves integration with other systems.</p> Yuriy Kulakov , Kyrylo Gargaiev Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338735 Mon, 30 Jun 2025 00:00:00 +0000 INCREASING THE EFFICIENCY OF DATA PROCESSING USING QUANTUM COMPUTATIONS https://icsfti-proc.kpi.ua/article/view/338750 <p><span style="font-weight: 400;">This article explores how emerging quantum computing techniques can be integrated into classical ETL pipelines to improve the efficiency of key data extraction, transformation, and validation operations through hybrid quantum-classical architectures.</span></p> Volodymyr Rusinov , Oleksii Cherevatenko Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338750 Mon, 30 Jun 2025 00:00:00 +0000 QOS MANAGEMENT IN EDGE NETWORKS USING SDN CONTROLLERS https://icsfti-proc.kpi.ua/article/view/338753 <p><span style="font-weight: 400;">This paper discusses approaches to optimizing traffic and resources at the edge of the network using software-defined networking (SDN) that provide flexible centralized management. The focus is on increasing data transmission efficiency, reducing latency, and ensuring consistent quality of service in distributed edge infrastructures.</span></p> Volodymyr Rusinov , Oleksii Cherevatenko Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338753 Mon, 30 Jun 2025 00:00:00 +0000 IMPROVING QUALITY OF SERVICE IN SDN NETWORKS BASED ON DPI CLASSIFICATION AND CBQ+WRED https://icsfti-proc.kpi.ua/article/view/338755 <p><span style="font-weight: 400;">This paper explores an approach to Quality of Service (QoS) management in SDN networks by implementing a combined CBQ+WRED mechanism with prior DPI-based traffic classification. It is demonstrated that the integration of priority-based packet handling and probabilistic early drop under software-defined routing control leads to reduced packet loss, delay, and jitter for critical traffic classes. Experimental results obtained through discrete-event simulation confirm the effectiveness of the proposed solution compared to traditional FIFO queuing.</span></p> Yurii Kulakov , Dmytro Oboznyi Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338755 Mon, 30 Jun 2025 00:00:00 +0000 PROGRAM PIPELINING OF GPU USING C-SLOW RETIMING https://icsfti-proc.kpi.ua/article/view/338730 <p>The software pipelining methods used in various computer architectures are discussed. In particular, thanks to software pipelining, it is possible to significantly increase the performance of graphics processing units. The proposed software pipelining method is based on the creation and optimisation of a synchronous data flow graph through its folding using C-slow retiming, with its subsequent description in a programming language.</p> Anatoly Sergiyenko, Pavlo Sergiyenko, Artemiy Vinokurov Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338730 Mon, 30 Jun 2025 00:00:00 +0000 METHOD FOR ACCELERATING THE COMPUTATIONAL IMPLEMENTATION OF MULTIPLICATIVE OPERATIONS IN MODULAR ARITHMETIC https://icsfti-proc.kpi.ua/article/view/338738 <p>This paper explores methods for improving the efficiency of implementing modular arithmetic operations, which are fundamental to public-key cryptographic systems. The research is motivated by the growing importance of information security and the increasing use of low-bit microcontrollers in real-time applications. The paper focuses on accelerating modular multiplication and squaring operations through optimized algorithms tailored for processors with limited bit capacity. The proposed methods leverage Montgomery reduction and segmented multiplication with dynamic operand adjustment, aiming to significantly improve computational speed while maintaining cryptographic robustness.</p> Oleksander Markovskyy , Bohdana Ostrovska Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338738 Mon, 30 Jun 2025 00:00:00 +0000 METHOD FOR HOMOMORPHIC ENCRYPTION OF IMAGES DURING REMOTE CLOUD PROCESSING https://icsfti-proc.kpi.ua/article/view/338739 <p>The master's thesis examines the theoretical foundation and development of an efficient method for accelerating the Discrete Fourier Transform (DFT) using cloud computing for image processing. The key feature of the proposed approach is the use of bitwise modifiers to encrypt individual bits of the binary representation of the signal. This technique enables lightweight and flexible encryption on terminal devices, significantly complicating unauthorized reconstruction of the signal during processing on a remote computing system. A thorough theoretical analysis and experimental modeling were conducted, demonstrating that the developed method achieves a 1–2 orders of magnitude increase in processing speed compared to traditional schemes, while maintaining a high level of data confidentiality. The proposed solution is suitable for secure and efficient image processing in cloud environments, particularly in scenarios with limited computational resources on the terminal side.</p> Oleksander Markovskyy , Pavlo Skvortsov Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338739 Mon, 30 Jun 2025 00:00:00 +0000 METHOD OF USING CLOUD SERVICES IN COMBINATION WITH CI/CD FOR THE SMART CITY SYSTEM https://icsfti-proc.kpi.ua/article/view/338740 <p>The article explores the feasibility of implementing cloud services in combination with continuous integration and delivery (CI/CD) technologies for the development of a flexible and scalable Smart City system. It analyzes the architectural features of cloud platforms, particularly Azure, and their role in deploying containerized applications. The advantages of using CI/CD approaches for automating the development lifecycle of Smart City solutions are presented. Practical aspects of integrating IoT devices, processing data in the cloud, and implementing monitoring and logging systems are discussed, with the goal of improving the reliability and manageability of the infrastructure.</p> Iryna Klymenko , Viktoriia Babenko Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338740 Mon, 30 Jun 2025 00:00:00 +0000 METHOD FOR INCREASING THE EFFICIENCY OF SOLVING TRIDIAGONAL SLE IN A REDUNDANT NUMBER SYSTEM ON FPGA https://icsfti-proc.kpi.ua/article/view/338741 <p>The article considers a new approach to the hardware implementation of the run method for tridiagonal SLEs using a non-autonomous computational mode and a redundant number system. A computing module architecture and a modified algorithm have been developed, providing acceleration of more than three times compared to the classical approach. The effectiveness of the proposed method for systems of different dimensions has been experimentally confirmed.</p> Illia Verbovskyi , Valerii Zhabin Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338741 Mon, 30 Jun 2025 00:00:00 +0000 METHODOLOGY OF USER INTERFACE DEVELOPMENT BASED ON NFML MARKUP LANGUAGE https://icsfti-proc.kpi.ua/article/view/338744 <p>The article presents a methodology for developing a user interface using the NFML markup language. It reveals the working principle, which involves transforming NFML code into the source code of the target platform, which can later be updated according to user needs. A comparative analysis with existing similar development methods is conducted, and the method's functionality is tested for HTML and Java platforms.</p> Artem Volokyta , Dmytro Rekechynskyi Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338744 Mon, 30 Jun 2025 00:00:00 +0000 MODIFICATION OF END-TO-END VIDEO GAME TESTING METHODS https://icsfti-proc.kpi.ua/article/view/338745 <p>The paper is devoted to the research of video game test automation and means to achieve it. Test automation helps speed up the development process and create video games more efficiently. But rates of test automation in the industry are low, because of the current methods’ disadvantages. The article overviews End-To-End layer of testing. The solution provides a test approach that is easier to maintain during active development, and more resilient to changes.</p> Artem Volokyta , Kostiantyn Hazin Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338745 Mon, 30 Jun 2025 00:00:00 +0000 MULTICRITERIA SCORING METHOD FOR TRAVEL ROUTES BASED ON GRAPH MODELS https://icsfti-proc.kpi.ua/article/view/338746 <p>The work involves the development and investigation of a method for multicriteria scoring of movement routes on graph-based models. The relevance of the topic arises from the urgent need for fast and reliable route planning for cargo and passenger transportation in wartime conditions, where the priorities are operational speed, safety, and resource efficiency. Modern navigation systems often fail to simultaneously account for multiple critical factors such as route risks, actual road surface condition, congestion, or travel restrictions. Applying multicriteria analysis based on graph models allows for a comprehensive evaluation of alternative paths and supports decision-making in dynamic and complex transport environments.</p> Olexiy Pysarchuk , Stanislav Rudenko Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338746 Mon, 30 Jun 2025 00:00:00 +0000 SIMPLIFYING THE DEPLOYMENT OF IOT SYSTEMS THROUGH MODULAR DESIGN https://icsfti-proc.kpi.ua/article/view/338748 <p>The paper explores the potential of simplifying the deployment of IoT systems by establishing a single open standard for modular architecture. It examines how the lack of unified standards in IoT leads to fragmented solutions and deployment challenges. The paper reviews existing attempts at IoT modularity as limited forms of standardization, highlighting the need for a comprehensive open standard</p> Mykhailo Boiko , Liudmyla Mishchenkо Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338748 Mon, 30 Jun 2025 00:00:00 +0000 MISSION CONTROL METHOD FOR THE SWARM OF DRONES BASED ON PETRI NETS https://icsfti-proc.kpi.ua/article/view/338754 <p><span style="font-weight: 400;">The article describes and analyzes the process of development of a mission control method for the UAV swarm. The method is based on Petri nets.</span></p> Valentyn Ivankov Copyright (c) 2025 https://icsfti-proc.kpi.ua/article/view/338754 Mon, 30 Jun 2025 00:00:00 +0000