Publikační činnost VŠB-TUO ve Web of Science / Publications of VŠB-TUO in Web of Science

Permanent URI for this collectionhttp://hdl.handle.net/10084/56138

Kolekce obsahuje bibliografické záznamy článků akademických pracovníků VŠB-TUO v časopisech indexovaných ve Web of Science od roku 1990 po současnost. Odkaz na Web of Science je funkční ze sítě VŠB-TUO, vzdálený přístup viz web ÚK VŠB-TUO.

Do kolekce jsou zařazeny:

a) publikace, u nichž je v originálních dokumentech jako působiště autora (adresa) uvedena Vysoká škola báňská – Technická univerzita Ostrava (VŠB-TUO),

b) publikace, u nichž v originálních dokumentech není v adrese VŠB-TUO uvedena, ale autoři prokazatelně v době jejich zpracování a uveřejnění působili na VŠB-TUO.

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Now showing 1 - 20 out of 8286 results

Hot flame detection in a completely automated autoignition temperature measurement apparatus
(Elsevier, 2026) Kuna, Petr; Janovský, Břetislav; Spitzer, Stefan H; Zakel, Sabine
The auto-ignition temperature (AIT) is essential for assessing the hazard of flammable liquids in relation to hot surfaces. An international ISO/IEC standard describes the method and protocol of AIT measurement as well as ignition detection by the eye. It also allows automatic flame detection if the same results are obtained during apparatus verification. As the intensity, temperature and color of the flame phenomenon can depend on the substance class and quantity, the question arises as to how reliably ignitions can be detected when additional sensor parameters affect the detection signal. This particularly applies to substances that tend to produce cold flames. The standard does not give detailed guidelines on sensor types and the given flame detection parameters seem questionable. Nevertheless, there are AIT test rigs available, which use semi-automated flame detection, but the criteria are set by the manufacturers. This study focuses on developing a largely automated apparatus for AIT measurements. This includes temperature control, dosing of the liquid and cleaning of the flask. Specific emphasis lays on hot flame detection during an ignition test in the first step. Future work will be related to cool flames. This paper aims to specify the sensors used, their positioning, and the flame detection parameters to enable nearly unsupervised operation of the apparatus. New recommendations for hot flame detection are provided. Both VIS/NIR and UV photodiodes are used successfully for hot flame detection. Thermocouple measurements based on the rate of temperature rise were found to be reliable, when Delta T/Delta t > 80 degrees C/s.
Experimental study of multiple-shot unitary channels discrimination using the IBM Q computers
(Springer Nature, 2026) Bílek, Adam; Hlisnikovský, Jan; Bezděk, Tomáš; Kukulski, Ryszard; Lewandowska, Paulin
Tasks involving black boxes appear frequently in the theory of quantum information, with quantum channel discrimination as a central example that has been deeply studied. In this work, we experimentally study the discrimination between two unitary quantum channels in the multiple-shot scenario. We challenge the theoretical results concerning the probability of correct discrimination with the results collected from experiments performed on the IBM Brisbane. Our analysis shows that neither too deep quantum circuits nor circuits that create too much entanglement are suitable for the discrimination task. We conclude that circuit architectures which minimize entanglement overhead while preserving discrimination power are significantly more resilient to hardware noise if their depth does not exceed a threshold value. Consequently, our findings necessitate a paradigm shift: for execution on noisy hardware, the theoretically suboptimal circuit is, counterintuitively, often the superior choice.
Application of CSA algorithm for the PMSM speed estimator of the FOC control method using extended Kalman filter
(Vysoká škola báňská - Technická univerzita Ostrava, 2025) Tran, Thinh Cong; Brandštetter, Pavel; Tan, Huynh; Vo, Hau Huu
Nowadays, Permanent Magnet Synchronous Motors (PMSM) are used more and more widely due to their advantages over other types of motors, such as high efficiency, constant torque, higher power density, and wide speed range. Many studies on this motor have been carried out in the industry. This paper proposes an application for the PMSM motor to estimate the speed of the motor rotor using an extended Kalman filter (EKF). This also means that the motor is controlled without using a speed sensor, so the system has the advantages of reducing the cost of manufacturing encoders, less damage, increased reliability, and reduced size due to the absence of moving mechanical parts of the sensor. The estimated performance depends heavily on the parameters of the covariance matrices in the filter. In the paper, the filter parameters are optimized using the Cuckoo Search Algorithm (CSA). The simulation results of the proposed algorithm on the PMSM motor show its advantages over traditional methods.
A hybrid meshless collocation approach for capturing solution and gradient jumps in 1D telegraph double-interface model with highly discontinuous coefficients
(Elsevier, 2026) Asif, Muhammad; Fatima, Ali; Riaz, Muhammad Bilal; Bilal, Faisal
Telegraph interface models accurately predict signal and wave behavior in layered media with multiple boundaries, providing a reliable basis for the design and analysis of electrical, communication, and geophysical systems. This article presents a numerical method for solving the one-dimensional telegraph equation with double interface conditions. The proposed scheme combines radial basis functions for spatial discretization with finite difference approximations in time, forming a unified and flexible computational framework. This hybrid approach is capable of handling both linear and nonlinear problems and can accommodate constant as well as variable coefficients. Linear algebraic systems arising from the discretization are solved using Gaussian elimination, while nonlinear problems are treated through a quasi-Newton linearization technique. The accuracy and efficiency of the method are evaluated by computing the maximum absolute error and the root mean square error for different spatial grid sizes and time step values. Numerical results confirm that the proposed scheme is easy to implement, exhibits fast convergence, and achieves high accuracy across a range of test problems. Therefore, the method provides a reliable and efficient computational tool for solving telegraph equations with interface discontinuities.
Pulse wave velocity estimation in a controlled In vitro vascular model: Benchmarking machine learning approaches
(MDPI, 2026) Barvík, Daniel; Černý, Martin; Procházka, Michal; Noury, Norbert
This study evaluates the feasibility of estimating stiffness-related parameters and pulse wave velocity (PWV) in a controlled in vitro circulatory setup using artificial silicone vessels with systematically varied Shore A hardness and wall thickness. From synchronized pressure and capacitive waveforms, fiducial points and engineered features are extracted, together with pump settings (stroke volume and heart rate). A Sugeno-type adaptive neuro-fuzzy inference system (ANFIS) is used for hardness-level prediction and benchmarked against linear regression and contemporary machine-learning/deep-learning baselines using stratified cross-validation. PWV estimates derived via hardness-to-elasticity conversion models and the Moens-Korteweg formulation are evaluated against a reference PWV obtained within the same experimental configuration. Under these controlled conditions, the proposed pipeline shows strong agreement with reference labels and measurements. The results should be interpreted as an in vitro validation step; translation to biological tissues or in vivo data will require external validation, calibration of material-property mapping, and robustness testing under physiological variability and measurement noise.
Payment holidays, credit risk, and borrower-based limits: Insights from the Czech mortgage market
(Elsevier, 2026) Hodula, Martin; Pfeifer, Lukáš; Pacoň, Martin
This paper examines the design and outcomes of mortgage payment holidays introduced during the COVID-19 pandemic. The Czech Republic provides a useful setting, combining a broad legislative moratorium with a subsequent, eligibility-based bank moratorium. Using confidential loan-level data, we document that legislative moratoria were used mainly as a precautionary liquidity tool, while bank moratoria were accessed predominantly by higher-risk borrowers. A central contribution of the paper is to provide loan-level evidence on mortgage performance after these programs ended. We find that arrears rose only moderately once repayments resumed, though the increase was noticeably larger for bank-moratoria borrowers, reflecting their weaker risk profiles. We further show that stricter borrower-based regulations (LTV, DTI, DSTI) in place before the pandemic were associated with lower moratoria uptake and reduced post-moratoria arrears. The results illustrate how the interaction between program design and pre-existing regulation shaped both the use of payment holidays and their credit-risk implications.
Social networks and social media as mediators of entrepreneurial entry among Indian women
(Springer Nature, 2026) Balcar, Jiří; Sinha, Prity; Johnson Filipová, Lenka; Horáková Hirschlerová, Nicole
This article examines how social networks and social media influence women's entrepreneurial entry in India. Using an explanatory sequential mixed-methods approach, we combine quantitative analysis of GEM data with qualitative interviews. The quantitative results show that having an entrepreneur in one's social network increases the probability of start-up involvement by 2.5 percentage points, while media exposure contributes an additional 1.8 percentage points. Interviews with women entrepreneurs illustrate how social media provides motivation, role-modeling, and perceived attainability, whereas personal networks offer emotional support, early clients, mentorship, and informal financing. Situating these findings within broader debates on social capital and female entrepreneurship, the study highlights how interpersonal and digital ties function as low-cost, relational resources in contexts of limited institutional support. This dual perspective advances existing research by clarifying the distinct yet complementary ways in which offline networks and online media shape women's early entrepreneurial decisions and help reduce perceived barriers.
Blockchain-enhanced IoT forensics: Advancing security, trust, and efficiency in digital investigations
(World Scientific Publishing, 2026) Chen, Xiaoyun; Han, Weixue
The integration of blockchain technology into Internet of Things (IoT) forensics transforms digital investigations and resolves challenges in the security and validation of evidence within increasingly interconnected systems. This paper explores how blockchain's immutable, decentralized, and transparent ledger enhances the integrity, authenticity, and traceability of forensic data collected from IoT devices. By embedding blockchain within IoT ecosystems, investigators gain access to tamper-resistant records and establish credibility and admissibility in legal proceedings. Smart contracts and decentralized trust models automate security protocols to reduce human error while enhancing efficiency. Real-world applications in smart homes, healthcare, industrial automation, and communication networks demonstrate the framework's potential to strengthen forensic processes. This paper interprets blockchain's transformative role in advancing IoT forensics, for robust, transparent, and future-ready investigative methodologies.
Monitoring and assessment of potentially hazardous particles in high-risk workplaces in the production of Ni-Cd batteries
(Springer Nature, 2026) Tokarčíková, Michaela; Bernatíková, Šárka; Rössner ml., Pavel, Pavel; Vrbová, Kristýna; Šíma, Michal; Gabor, Roman; Běčák, Petr; Seidlerová, Jana
The manufacture of Ni-Cd batteries involves the risk of contact with and inhalation of dust particles containing heavy metals, including potential carcinogens. Three workplaces were selected that appeared to pose the greatest risk to workers in terms of exposure to heavy metal (nickel and cadmium) dust generated during the production and handling of nickel-cadmium plates. Although the limits for dust and carcinogens and mutagens are very strict, they are gradually being tightened. Therefore, the main motivation was to find the source of the highest amounts of respirable particles, determine the size of the particles, the composition of the fraction and evaluated potential toxicity of particles captured on the filters. This will help to propose additional measures to minimise concentrations of potentially carcinogenic particles in the working environment. The chemical analysis, particle size distribution, metal content and cytotoxicity of the particles trapped on the filters were investigated. While the concentration of heavy metals was well below the permissible exposure limits, the extracts obtained from the sampled filters had a significant effect on cytotoxicity, particularly those containing lower concentrations of particles.
A catalytic approach to the valorization of polyesters and biogenic waste for the production of amines
(Elsevier, 2026) Poovan, Fairoosa; Jagadeesh, Rajenahally V.; Beller, Matthias
Despite the numerous applications of polymers in human life, their excessive use has caused serious environmental hazards. Among polymer recycling methods, chemical recycling offers a streamlined approach to polymer degradation by enabling depolymerization without compromising functionality. Specifically, hydrogenolysis of polymers, a depolymerization technique that utilizes hydrogen to cleave bonds, has emerged as a powerful strategy for depolymerization, facilitating the upcycling of plastics into high-value chemicals. Previous research in this area has predominantly focused on noble metal catalysts, while the potential of base metals remains unexplored. Herein, we propose a cobalt-based hydrogenative amination approach for the depolymerization of polyesters to versatile diamines as well as amino alcohols. This strategy can also be applied to the one-pot synthesis of fatty amines from used cooking oil. The current system opens new avenues for the upcycling of waste into valuable amines, providing a viable solution to plastic pollution and a way to utilize waste as a resource.
Three-dimensional surface metrology analysis of cryogenically machined additively manufactured aluminium alloys
(Elsevier, 2026) Gupta, Munish Kumar
Surface roughness and topography play a critical role in determining the performance and reliability of additively manufactured (AM) aluminium alloys, particularly after post-processing by machining. This study presents a comprehensive three-dimensional surface metrology analysis of machined additively manufactured Al-Si-10Mg aluminum alloy under varying cooling conditions, including dry, minimum quantity lubrication (MQL), air, and cryogenic CO2 environments. Surface characterization was performed using a Sensofar microscope operating in interferometry mode to acquire high-resolution 3D surface data. A full set of amplitude, spatial, and hybrid roughness parameters was evaluated, along with material ratio and volume parameters for functional assessment. The results show that at cutting speeds of 230–270 m/min, the average roughness (Sa) remained above 0.30 μm, while the root mean square roughness (Sq) ranged from 0.45 to 0.50 μm, indicating a smooth and periodic surface trend. Cryogenic cooling produced the most refined surfaces, with Sz values of 3.3–3.5 μm at 150–230 m/min and a moderate increase to 3.9–4.0 μm at 310 m/min. The results also show that the surface formation mechanisms of AM AlSi10Mg are significantly influenced by cooling conditions, leading to variations in texture orientation, roughness distribution, and material properties. In addition, the enhanced cooling conditions yielded improved surface integrity of AM AlSi10Mg, as measured by interferometry, reflected in lower roughness values and optimized core and valley volume parameters, which are beneficial for wear and fatigue related applications.
Optimizing multi-step kinetic schemes for biomass pyrolysis in bioenergy production using multi-objective genetic algorithm: Transitioning from thermally thin to thermally thick regime
(Elsevier, 2026) Vasudev, Vikul; Tahir, Mudassir Hussain; Ram, Shri; Duan, Yanjun; Adamec, Tomáš; Najser, Tomáš
This study aims to optimize multi-step kinetic models for biomass pyrolysis to enhance bioenergy production. Utilizing three representative biomass types, i.e., Cunninghamia lanceolata (forestry-derived), rice straw (agricultural-derived), and green algae (aquatic-derived), thermogravimetric analysis was conducted across temperatures from 150 to 600 degrees C at heating rates of 5, 20, 30, and 40 degrees C/min. Three kinetic schemes with three, four, and nine reactions were parameterized using a parallelized multi-objective genetic algorithm fitting the model simultaneously to all heating rates. The four-reaction scheme achieved the highest fit quality (R-2 > 0.97 for all feedstocks), while the nine-reaction model provided detailed mechanistic insights but showed reduced accuracy for green algae (R-2 as low as 0.81). Coupling these kinetic models with a 2D heat transfer model of a thermally thick biomass particle revealed distinct thermal gradients and reaction front behaviors for each scheme, including average front propagation speeds of 0.19 mm/min and core conversion times between 27 and 34 min. The most complex scheme exhibited the fastest core conversion rate (up to 23 % faster), broadest and most diffuse reaction front, and greater char production. Whereas, simpler schemes produced sharper, localized fronts with slower conversion. This integrated experimental-computational approach quantitatively characterizes pyrolysis kinetics and thermal dynamics, advancing model development for optimized industrial bioenergy applications.
Assessing climate risk on the European financial system: a multi-scenario Analysis
(Springer Nature, 2026) Giacchetta, Gianandrea; Giacometti, Rosella; Torri, Gabriele
This paper investigates the impact of climate risk on the stability of the European financial system, with a particular focus on both transition and physical risk dimensions. Given the long-term and uncertain nature of climate-related risks, traditional econometric methods often fall short in capturing their systemic implications. To address this challenge, we develop a scenario-based framework grounded in realistic projections consistent to the theoretical framework of the Network for Greening the Financial System ("NGFS"), encompassing three climate pathways: orderly transition, disorderly transition, and hot house world. We model the relationship between climate risk drivers, European companies, and the financial system using vine copulas, enabling a flexible representation of complex dependencies. The effects of these scenarios on financial institutions are evaluated through key risk metrics (expected return, value at risk, and expected shortfall) conditioned on each climate scenario. Our results offer insights into how climate transition risks propagate through the financial system, with practical implications for financial stability assessment and systemic risk management. The primary contribution lies in integrating both transition and physical climate risks into a coherent and tractable risk assessment framework, offering valuable tools for policymakers, regulators, and financial practitioners. Results show a significant dependence of European financial system to brown companies and, thus, sizable losses in the disorderly transition scenario.
SDR-Based Vehicle-to-Vehicle OFDM VLC Communication System
(IEEE, 2026) Dratnal, Martin; Danys, Lukáš; Jaroš, René; Martinek, Radek
This paper presents a novel software-defined radio (SDR) platform designed to measure the bit error rate (BER) in vehicle-to-vehicle visible light communication (V2V VLC) technology under real-world conditions. Unlike previous studies that have primarily relied on simulations or static tests, this research provides empirical evidence from both stationary and dynamic vehicular scenarios. The proposed system functions as an orthogonal frequency division multiplexing (OFDM) transceiver, employing multistate quadrature amplitude modulation (M-QAM) to modulate individual subcarriers. Extensive experiments were conducted to evaluate the system's performance, including the effects of varying headlight beam angles and vehicle distances on BER. Notably, stable communication was achieved using 64-QAM modulation at distances up to 10 meters, maintaining a BER below the critical threshold of 10(-5 .) These findings demonstrate the feasibility and robustness of integrating VLC with standard vehicle headlight systems, offering a viable solution for enhancing vehicular communication in dynamic traffic environments.
Trajectory tracking control for autonomous vehicles: A systematic PRISMA review of models and strategies
(Elsevier, 2026) Albhaisi, Mohammed S.; Prauzek, Michal; Minh, Tri Tran Huu; Ožana, Štěpán; Konečný, Jaromír
Autonomous vehicles (AVs) are poised to redefine future mobility by offering enhanced safety, energy efficiency, and intelligent adaptability. A fundamental component enabling this transformation is trajectory tracking control, which ensures precise path-following despite environmental uncertainties, dynamic road conditions, and sensor noise. This systematic review follows the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology to analyze state-of-the-art trajectory tracking control strategies, categorizing them into traditional, adaptive, and learning-based methods. The study provides a comprehensive assessment of trajectory tracking models, highlighting their strengths, limitations, and applicability in real-world scenarios. Additionally, the review discusses key challenges, such as scalability, real-time adaptability, and the integration of multi-sensor data. By bridging theoretical advancements with practical implementations, this review contributes to the development of more robust, adaptive, and efficient trajectory tracking systems for autonomous mobility.
Design of a key management system for efficient key supply in quantum key distribution networks
(Optica Publishing Group, 2026) Dervisevic, Emir; Tankovic, Amina; Kaljić, Enio; Vozňák, Miroslav; Mehić, Miralem
Key management strategies are a critical yet often overlooked aspect of integrating quantum key distribution (QKD) networks as a service into critical infrastructure. It has a considerable impact on the efficiency of QKD network services, thereby shaping its suitability for diverse applications. In this paper, we examine the effectiveness of key management strategies developed through practical testbeds, identifying their strengths and weaknesses. A novel, to the best of our knowledge, organization of key storage to enhance key construction efficiency and overall service performance is introduced. Using simulation tools, the proposed strategy is evaluated against existing approaches, demonstrating superior performance and effectiveness. (c) 2026 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (Al) training, and similar technologies, are reserved.
Equivalence between the co-rotational finite element method and the absolute coordinate formulation in multibody dynamics
(Wiley, 2026) Zwölfer, Andreas; Aubel, Maximilian; Páleník, Radek
Geometric nonlinearity arises in problems involving large displacements and rotations, where traditional linear assumptions fail. In the finite element community, several formulations have been developed to address these complexities; the corotational finite element formulation (CRF) has proven to be an efficient alternative to generic total Lagrangian (TL) and updated Lagrangian (UL) approaches for small-strain problems. In the multibody dynamics community, the floating frame of reference formulation (FFRF) is commonly used, employing a gross-motion-following local reference frame per body (also referred to as co-rotational or floating frame), in contrast to CRF's element-based approach. A less known but fully equivalent multibody formulation to FFRF is the absolute coordinate formulation (ACF), which uses absolute coordinates in contrast to rigid body coordinates plus local deformation as in FFRF. This paper demonstrates the equivalence of ACF and CRF, with the only difference being the number of reference frames-body-based versus element-based. Moreover, since CRF, while efficient, faces challenges in real-world multibody simulations due to the computational burden of assigning a reference frame to each finite element, this paper also discusses how CR/ACF can be applied when partitioning bodies into substructures, each equipped with its own reference frame.
Energy and environmental trade-offs in anaerobic digestion: Batch tests and LCA investigations of giant hogweed, canola straw, and manure
(Elsevier, 2026) Nwanegbo, Emmanuel; Mollashahi, Samaneh; Ferchau, Erik; Eckart, Hartmut Krause Sven
This study investigated the energy and environment trade-offs of anaerobic digestion (AD) using invasive giant hogweed, agricultural residue canola straw, and cow manure by combining mesophilic batch tests with a gate-togate life cycle assessment (LCA). Seven scenarios, comprising both mono-digestion and co-digestions were evaluated. Mono-digestion of Giant Hogweed achieved the highest specific biogas yield (671 LN/kg VS) and methane content (74.7%), with no detectable hydrogen sulphide (H2S), while co-digestion introduced mixdependent trade-offs between gas yield and emissions. The LCA identified the combined emissions from manure and digestate storage as the primary hotspot for Global Warming Potential (GWP), contributing 53-67% of total emissions. Crop-based mono-digestion scenarios exhibited higher GWP per tonne but lower emissions per kWh due to superior energy recovery; the same pattern held for abiotic depletion (fossil and elements). Sensitivity analysis showed that a 50% cut in storage emissions reduced GWP by 27-34% across all scenarios. Scenarios with higher net electricity output achieved lower impact intensities per kWh. The study concludes that optimizing feedstock ratios and implementing advanced storage practices is critical for maximizing both energy recovery and environmental performance of AD systems.
On the performance of RSMA-Based Visible Light Communication Systems With Multicolor LED
(IEEE, 2026) Le-Tran, Manh; Vu, Thai-Hoc
In this work, we analyze the performance of rate-splitting multiple access (RSMA) in visible light communication (VLC) systems using multicolor light-emitting diodes (LEDs). The system splits the data of users into a common stream decoded by all users and user-specific private streams, maps these streams onto the color channels of a multicolor LED, and uses successive interference cancellation (SIC) at the receiver side to exploit color diversity. Closed-form expressions are derived for the key performance metrics such as outage probability (OP), coverage probability, and ergodic sum rate under the Lambertian channel model. To concurrently mitigate multiuser interference, which arises from cross-color coupling, and optimize the power division between the common and private data streams, a joint precoding and power allocation strategy is implemented. More specifically, the resulting nonconvex optimization problem is efficiently solved by an equivalent convex reformulation to efficiently obtain the optimal power allocation coefficients. Numerical results demonstrate that in the low-to-moderate common rate regime, RSMA demonstrates superior performance over the conventional scheme regarding coverage probability and ergodic sum rate. This improvement further enhances the reliability and spectral efficiency for VLC systems that employ practical multicolor LED configurations.
Abuse of tax law in a comparative perspective: An analysis of French and Czech regulations
(Akademia Leona Koźmińskiego, 2025) Mariański, Michał; Bartes, Richard
The concept of abuse in tax law is well established in many EU Member States, as it is an important element of the financial security and resilience of the economic system. However, the manner in which this concept is regulated is not uniform. It is therefore crucial to determine whether we can observe only small differences in this field or whether exists is a significate conceptual divergence among EU countries. The purpose of this article, which applies dogmatic, historical-descriptive, and, above all, comparative methods, is to examine the legal framework governing the abuse of tax law in France and the Czech Republic. The analysis leads to several conclusions that may be potentially interesting from the perspective of other EU countries. Another issue addressed concerns the compatibility of the examined solutions with the technological changes observable across almost all areas of the economy and braches of law. The different approaches to regulating the abuse of tax law in France and the Czech Republic presented in this paper may also serve as an impulse for further comparative or national studies aimed at identifying the most effective and efficient model in this field.

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