Determining the Origin of Electricity Consumed from Low-Carbon and Renewable Energy Sources: A Matrix-Based Modelling Approach and Algorithm Andrzej Smolarz, Saule Smailova, Ainur Ormanbekova, Iryna Hunko, Petr Lezhniuk, et al. Energies, 2026 This article details a matrix-based mathematical method to calculate power flows and transmission losses in an electric grid specifically attributable to low-carbon and renewable energy sources (LCRES) (wind, solar, nuclear). The goal is to improve the transparency and reliability of Guarantees of Origin (GO) certificates. Current GO schemes rely on contractual accounting and neglect physical power losses, undermining consumers’ confidence that they receive “clean” energy. The method uses steady-state power flow analysis to derive a power-loss distribution coefficient matrix. This matrix accurately allocates grid losses back to the LCRES generating nodes, complying strictly with electrical engineering principles. It accommodates both time-varying renewable output and stable nuclear generation. The results offer highly accurate loss-attribution data, supporting more verifiable GOs, ensuring fair compensation for losses, and enhancing energy balance accuracy in hybrid power systems.
OPTIMIZATION OF CHANNEL PACKET LOSS IN WIRELESS SENSOR COMMUNICATION SYSTEMS USING MODEL PREDICTIVE CONTROL Ainur Ormanbekova, Anar Khabay, Yerkebulan Tuleshov, Nurlan Sarsenbayev, Zhazira Julayeva, et al. Eastern European Journal of Enterprise Technologies, 2026 The object of the study is an IEEE 802.15.4 (2.4 GHz) wireless networked control system (WNCS) closing the loop over a wireless sensor network. Fading and interference increase packet loss and delay, reducing stability margins and control quality. The unresolved problem is the lack of a unified end-to-end (E2E) loss model that links PHY signal quality, multi-hop routing and medium access to closed-loop behavior and can be embedded into controller synthesis. An SINR-based channel model (path loss, lognormal shadowing, multipath fading) is mapped to BER and packet error probability; E2E loss for single-hop and multi-hop routes is obtained using Bernoulli and finite-state Markov (FSMC) processes. For verification, original packet traces are captured with an IEEE 802.15.4 sniffer/logger and stored before processing (timestamp, node identifier, sequence number, RSSI/LQI and delivery outcome) to compute PER, latency and burstiness and to parameterize the SINR-to-PER mapping and loss models. Simulations show that TDMA/TSCH achieves up to 40% lower loss than CSMA/CA, while E2E loss rises from 3% to 32% as hop count increases from 1 to 8. An MPC-based co-design jointly adapts transmit power, sampling period and retransmissions. Compared with a fixed-parameter LQR baseline, E2E PER is reduced from 4.45% to 3.66%, average delay from 0.20 s to 0.12 s, and integral absolute error by 50%. The gains are attributed to reduced contention under TDMA scheduling and predictor-driven MPC adaptation. The approach targets industrial monitoring and control with fixed sampling, slowly varying interference and static multi-hop topologies, where parameters can be identified offline and used for online MPC adaptation
Quality Performance Criterion Model for Distributed Automated Control Systems Based on Markov Processes for Smart Grid Waldemar Wojcik, Ainur Ormanbekova, Muratkali Jamanbayev, Maria Yukhymchuk, Vladyslav Lesko Applied Sciences Switzerland, 2025 This paper addresses the problem of decision-making support for the modernization of distributed automated control systems (ACS) in power engineering by proposing an integral quality criterion that combines similarity-driven Markov process modeling with geometric programming. The methodology transforms the transition rate matrix of a continuous-time Markov chain (CTMC) into a matrix polynomial, enabling the derivation of normalized similarity indices and the development of a criterion-based model to quantify relative variations in system quality without requiring global optimization. The proposed approach yields a generalized criterion model that facilitates the ranking of modernization alternatives and the evaluation of the sensitivity of optimal decisions to parameter variations. The practical implementation is demonstrated through updated state transition graphs, quality functions, and UML-based architectures of diagnostic-ready evaluation modules. The scientific contribution of this work lies in the integration of similarity-based Markov modeling with the mathematical framework of geometric programming into a unified criterion model for the quantitative assessment of functional readiness under multistate conditions and probabilistic failures. The methodology enables the comparison of modernization scenarios using a unified integral indicator, assessment of sensitivity to structural and parametric changes, and seamless integration of quality evaluation into SCADA/Smart Grid environments as part of real-time diagnostics. The accuracy of the assessment depends on the adequacy of transition rate identification and the validity of the Markovian assumption. Future extensions include the real-time estimation of transition rates from event streams, generalization to semi-Markov processes, and multicriteria optimization considering cost, risk, and readiness.
Graph-based neural networks with neural ODEs for robust speech processing in environmental and human-centric systems Saken Mambetov, Ainur Ormanbekova, Serik Joldasbayev, Laura Duissembayeva, Bulgyn Mailykhanova E3s Web of Conferences, 2025 This paper introduces H-STGNN-ODE-DA, a novel model for voice sentiment analysis that combines multi-scale acoustic feature extraction, hierarchical graph neural networks (GNNs), Neural Ordinary Differential Equations (Neural ODEs), and domain-adversarial adaptation. Designed to enhance accuracy and robustness under real-world conditions, the model was evaluated on IEMOCAP, MELD, and EmoDB datasets, outperforming state-of-the-art approaches such as LSTM, CNN, GCN, GAT, DANN, and SPECTRA. Notably, it achieved a 4.0% improvement over GAT on MELD. Neural ODEs enabled effective modeling of continuous emotional transitions, while domain-adversarial adaptation ensured robustness to domain shifts. Ablation studies confirmed the critical role of each component in achieving high performance. The model demonstrated strong cross-domain transferability, maintaining high accuracy across diverse recording conditions. These results position H- STGNN-ODE-DA as a robust and versatile solution for real-world applications in speech processing, including virtual assistants, social media analysis, and customer service systems.
Adaptive algorithms for managing mineral raw materials benefication processes for sustainable development of mining territories Tulkun Botirov, Yorqin Kadirov, Igor Kovalev, Ainur Ormanbekova, and Sustainable Development of Mountain Territories, 2025 Introduction. Sustainable development of mining territories requires energy-efficient and environmentally oriented mineral beneficiation technologies. The stochastic and nonstationary nature of flotation processes necessitates the implementation of adaptive control systems. Purpose of the research. To develop and substantiate adaptive control algorithms for mineral beneficiation processes aimed at improving operational stability, energy efficiency, and environmental safety of mining enterprises. Materials and methods. Stochastic identification techniques based on input–output relationships and autoregressive moving-average models were applied. Parameter estimation was performed using the conditional maximum likelihood method with iterative procedures, including Newton’s method combined with Tikhonov regularization. Dynamic models of flotation processes with time delays and random disturbances were considered. Results. Algorithms for robust estimation of system parameters and states were developed, enabling the synthesis of adaptive control systems under model uncertainty. A functional scheme of an adaptive flotation control system was proposed to stabilize concentrate ash content in the presence of significant delays and stochastic disturbances. Discussion. The implementation of adaptive algorithms reduces variance of concentrate quality indicators, optimizes reagent consumption, and increases product yield. Regularization of iterative procedures ensures computational stability and reduces sensitivity to data inaccuracies. Conclusion. The proposed algorithms provide a scientific and practical basis for intelligent control of mineral beneficiation processes. Resume. Adaptive identification and control methods enhance flotation efficiency, reduce energy and material consumption, and improve environmental performance of mining enterprises. Suggestions for practical applications and directions for future research. Industrial implementation at beneficiation plants is recommended. Future research should focus on integration with digital mining platforms and extension of adaptive control methods to other mineral processing operations.
Forecasting based on machine learning methods in the fuel monitoring system Ceur Workshop Proceedings, 2025
FIBER-OPTIC SYSTEM FOR CONTROL OF THE ORIENTATION OF OBJECTS IN SPACE Oleksandr Hnatenko, Yuriy Machekhin, Victor Bilichenko, Valeriy Zarytskyi, Yaroslav Yaroslavskyy, et al. Proceedings of SPIE the International Society for Optical Engineering, 2023 This article illustrates a system for stabilizing objects in space based on integral fiber elements. The proposed system showed results commensurate with similar systems with a length of tens of kilometers of SMF-28 optical fiber, while using PANDA type optical fiber is only 200 m. In the work, a model of the system was developed and experimental studies of the response and angular velocity of the gyroscope were carried out.
Parallel implementation of evolutionary partial differential equations by collocation optical-electronic schemes Evgeniy A. Bashkov, Olga A. Dmitrieva, Nadiia H. Huskova, Svyatoslav Y. Vishnevskyi, Andrzej Kotyra, et al. Proceedings of SPIE the International Society for Optical Engineering, 2022 The problem of parallel solution of partial differential equations with the help of the method of lines that ensures the reduction of the initial problem to the Cauchy problem described by a system of ordinary differential equations is considered. As a basic method, collocated multi-step block difference schemes are proposed. Obtaining a numerical solution in this case becomes possible only with the use of high-performance computing, usually with parallel architecture. This problem becomes especially important in the implementation of mathematical models based on systems of partial differential equations when it comes to the need for discretization of the solution search area, which can be significantly complicated by the geometric configuration of the boundaries. Solution of systems of this order cannot be obtained without involving multiprocessor computers. But by simply increasing the processing power, this problem cannot be solved. Only by combining the advantages of supercomputers and modern numerical simulation methods we can expect a significant improvement in the numerical solution of partial differential equations (PDEs).
Temperature studies of optical absorption edge in (Ag2S) x (As2S3) 1-x (x< 0.2) superionic glasses IP Studenyak, OI Shpak, M Kranjčec, MM Pop, II Shpak, P Kisała, P Panas, ... Photonics Applications in Astronomy, Communications, Industry, and High … , 2020 2020.0 Citations: 2
Application of EMG-signal phase portraits for differentiation of musculoskeletal system diseases TV Zhemchuzhkina, SM Zlepko, TV Nosova, VV Semenets, OV Kirichek, ... Photonics Applications in Astronomy, Communications, Industry, and High … , 2019 2019.0 Citations: 25
Controlling of gold nanoparticles by the help of transverse spin momentum of evanescent waves in biomedical applications OV Angelsky, DI Ivanskyi, W Wójcik, A Ormanbekova Photonics Applications in Astronomy, Communications, Industry, and High … , 2019 2019.0
Model of electronic public health management on the example of the territorial community of Vinnytsia region MI Nebava, NB Savina, IV Zayukov, NO Vasazhenko, OY Lesko, ... Photonics Applications in Astronomy, Communications, Industry, and High … , 2019 2019.0 Citations: 4
Electromagnetic vibratory cavitator IS Aftanaziv, LI Shevchuk, IZ Koval, LR Strutynska, OI Srogan, A Smolarz, ... Przegląd elektrotechniczny 95 , 2019 2019.0 Citations: 7
ЗАМАНАУИ БАЙЛАНЫС ТЕХНОЛОГИЯЛАРЫНЫҢ ДАМУ ПЕРСПЕКТИВАСЫ МЕ Ержанова, АА Орманбекова, АС Шакенова, ИӘТ Байсымақов, ... Научная дискуссия: инновации в современном мире, 146-150 , 2017 2017.0
ROBO-PICA РОБОТ-ПЛАТФОРМАСЫН БАСҚАРУ ҮШІН БАҒДАРЛАМАЛЫ-АППАРАТТЫҚ КЕШЕН АА Орманбекова, НМ Бостенов Механика и технологии, 15-19 , 2016 2016.0
IMPROVING THE MECHANICAL PROCESS LINE FOR THE PRODUCTION OF MELONS МЕ Ержанова, ММ Кырыкбаев, АА Орманбекова Международный научно-исследовательский журнал , 2015 2015.0
ОСОБЕННОСТИ ПРОГРАММНОГО ОБЕСПЕЧЕНИЯ ПРОМЫШЛЕННЫХ КОМПЬЮТЕРОВ АБ Кабанбаев, АА Орманбекова МЕХАНИКА ЖӘНЕ ТЕХНОЛОГИЯЛАР, 40 , 2015 2015.0
ОЦЕНКА ЭФФЕКТИВНОСТИ ПРИЕМА РАЗЛИЧНЫХ ТИПОВ СПУТНИКОВЫХ АНТЕНН АА Орманбекова, ДБ Махамбетжанов Механика и технологии, 17-20 , 2015 2015.0
Изучение реологических характеристик дыни при производстве соков МЕ Ержанова, ММ Кырыкбаев, АА Орманбекова Международный научно-исследовательский журнал, 55-57 , 2015 2015.0 Citations: 1
Fingerspelling alphabet modeling and recognizing based on cross platform tools SS Kondratiuk, IV Krak, VS Kasianiuk, OY Pinaieva, W Wójcikd, ...
Hybrid three-pass method of ray tracing using graphics processing units SI Vyatkin, ON Romanyuk, SV Pavlov, E Lysenko, K Skorupski, ...
Ivan S. AFTANAZIV1, Lilia I. SHEVCHUK1, Iryna Z. KOVAL1, Lesya R. STRUTYNSKA1, Orysia I. STROGAN1, Andrzej SMOLARZ2, Ainur ORMANBEKOVA3, Kalamkas BEGALIYEVA4 OI STROGAN, A SMOLARZ, A ORMANBEKOVA, K BEGALIYEVA
MOST CITED SCHOLAR PUBLICATIONS
Application of EMG-signal phase portraits for differentiation of musculoskeletal system diseases TV Zhemchuzhkina, SM Zlepko, TV Nosova, VV Semenets, OV Kirichek, ... Photonics Applications in Astronomy, Communications, Industry, and High … , 2019 2019.0 Citations: 25
Electromagnetic vibratory cavitator IS Aftanaziv, LI Shevchuk, IZ Koval, LR Strutynska, OI Srogan, A Smolarz, ... Przegląd elektrotechniczny 95 , 2019 2019.0 Citations: 7
Model of electronic public health management on the example of the territorial community of Vinnytsia region MI Nebava, NB Savina, IV Zayukov, NO Vasazhenko, OY Lesko, ... Photonics Applications in Astronomy, Communications, Industry, and High … , 2019 2019.0 Citations: 4
Temperature studies of optical absorption edge in (Ag2S) x (As2S3) 1-x (x< 0.2) superionic glasses IP Studenyak, OI Shpak, M Kranjčec, MM Pop, II Shpak, P Kisała, P Panas, ... Photonics Applications in Astronomy, Communications, Industry, and High … , 2020 2020.0 Citations: 2
Изучение реологических характеристик дыни при производстве соков МЕ Ержанова, ММ Кырыкбаев, АА Орманбекова Международный научно-исследовательский журнал, 55-57 , 2015 2015.0 Citations: 1
Controlling of gold nanoparticles by the help of transverse spin momentum of evanescent waves in biomedical applications OV Angelsky, DI Ivanskyi, W Wójcik, A Ormanbekova Photonics Applications in Astronomy, Communications, Industry, and High … , 2019 2019.0
ЗАМАНАУИ БАЙЛАНЫС ТЕХНОЛОГИЯЛАРЫНЫҢ ДАМУ ПЕРСПЕКТИВАСЫ МЕ Ержанова, АА Орманбекова, АС Шакенова, ИӘТ Байсымақов, ... Научная дискуссия: инновации в современном мире, 146-150 , 2017 2017.0
ROBO-PICA РОБОТ-ПЛАТФОРМАСЫН БАСҚАРУ ҮШІН БАҒДАРЛАМАЛЫ-АППАРАТТЫҚ КЕШЕН АА Орманбекова, НМ Бостенов Механика и технологии, 15-19 , 2016 2016.0
IMPROVING THE MECHANICAL PROCESS LINE FOR THE PRODUCTION OF MELONS МЕ Ержанова, ММ Кырыкбаев, АА Орманбекова Международный научно-исследовательский журнал , 2015 2015.0
ОСОБЕННОСТИ ПРОГРАММНОГО ОБЕСПЕЧЕНИЯ ПРОМЫШЛЕННЫХ КОМПЬЮТЕРОВ АБ Кабанбаев, АА Орманбекова МЕХАНИКА ЖӘНЕ ТЕХНОЛОГИЯЛАР, 40 , 2015 2015.0
ОЦЕНКА ЭФФЕКТИВНОСТИ ПРИЕМА РАЗЛИЧНЫХ ТИПОВ СПУТНИКОВЫХ АНТЕНН АА Орманбекова, ДБ Махамбетжанов Механика и технологии, 17-20 , 2015 2015.0
Fingerspelling alphabet modeling and recognizing based on cross platform tools SS Kondratiuk, IV Krak, VS Kasianiuk, OY Pinaieva, W Wójcikd, ...
Hybrid three-pass method of ray tracing using graphics processing units SI Vyatkin, ON Romanyuk, SV Pavlov, E Lysenko, K Skorupski, ...
Ivan S. AFTANAZIV1, Lilia I. SHEVCHUK1, Iryna Z. KOVAL1, Lesya R. STRUTYNSKA1, Orysia I. STROGAN1, Andrzej SMOLARZ2, Ainur ORMANBEKOVA3, Kalamkas BEGALIYEVA4 OI STROGAN, A SMOLARZ, A ORMANBEKOVA, K BEGALIYEVA
