Кафедра інформатики

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Browsing Кафедра інформатики by Author "Hlybovets, Andrii"

Now showing 1 - 3 of 3
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    Emitter Position Estimation Using Time Difference of Arrival
    (2022) Musiiaka, O.; Hlybovets, Andrii
    As a result of this work, the estimator convergence speed was improved by using a local linear transform. This new approach can be considered an adaptation of the Newton-Raphson algorithm with the Hessian matrix replaced with a statistically approximated value that guarantees the algorithm convergence and reduces the amount of computation. Performance testing of the optimization algorithms has shown that the proposed algorithm outperforms the steepest gradient descent 28.2 times and “momentum” modification 7.8 times on the CPU implementation.
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    Investigation of the relationship between software metrics measurements and its maintainability degree
    (2020) Shapoval, Oleksandr; Hlybovets, Andrii
    The goal of this thesis was to practically learn methods of empirical engineering software, algorithms for data collection and data analysis. Results include software measurement, analysis and selection of direct and indirect metrics for research and identification of dependencies between direct and indirect metrics. On the basis of received result were built dependencies between software metrics and software expertise properties. Metrics and properties selected by individual variation. Relationship between metric and expertise includes building direct relationships between the metric and expertise, indirect metrics and expertise. Additionally, was determined whether they have common trends of the relationship between those direct metrics and expert estimates, indirect metrics and expert estimates.
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    UAV Computer Vision at the Edge: Development, Security, and Hardware Acceleration
    (2025) Okhrimenko, Mykhailo; Hlybovets, Andrii
    UAVs operating in contested environments require edge computing systems that face challenges in computational performance, security, and power efficiency. This thesis presents three solutions to these challenges. We implemented secure boot on Rockchip-based SBC boards through Rockchip’s OTP memory, establishing irreversible firmware authentication. We developed a Hardware-in-the-Loop testing framework, integrating Gazebo simulation with physical hardware via custom OpenCV-GStreamer pipelines, enabling algorithm validation without risking UAV platforms. Finally, we conducted comparative benchmarking of hardware acceleration options to identify viable deployment solutions. Performance evaluation revealed significant differences between theoretical specifications and operational reality. The Rockchip’s integrated NPU achieved 18 FPS average performance—8.4x faster than CPU baseline—while consuming only 0.83W. Hailo-8L delivered 64 FPS at 1.48W but required active cooling. Secure boot validation successfully blocked all unsigned firmware attempts, confirming the security implementation. These findings demonstrate that integrated NPU architectures provide optimal thermal and power characteristics for UAV edge computing, while our HITL framework enables safe development of computer vision algorithms on target hardware.