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3rd International Workshop on Information Technologies: Theoretical and Applied Problems, ITTAP 2023

作者： Pawuś, Dawid Paszkiel, Szczepan University of Technology Prószkowska 76 Street Opole45-758 Poland Faculty of Electrical Engineering Automatic Control and Informatics Poland

This article presents a wide, proprietary range of Emotiv Epoc Flex Gel headset applications for EEG signal measurement. It is about its use in systems involving artificial intelligence, such as artificial neural networks and expert systems. The constantly developing field of biomedical engineering as well as newer and more advanced BCI (brain-computer interface) systems require their designers to constantly develop and search for various innovative methods used in their creation. In response to practical requirements and the possibility of using the system in real conditions, the authors propose an advanced solution using EEG signal analysis (electroencephalography). An AI-based approach to designing the BCI system was used for advanced signal analysis. The article contains a detailed description of two applications based on artificial intelligence using EEG signals. The first one, for controlling a mobile robot using mental commands. The second one, on the other hand, for controlling a mobile robot with verification in the form of an EMG signal. This article provides a comprehensive overview of the integration of the Emotiv Epoc Flex Kit with proprietary AI systems and its significant impact on the field. © 2023 CEUR-WS. All rights reserved.

关键词： Brain computer interface

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Identification of the Thermal Model Parameters of Industrial Supercapacitors

Identification of the Thermal Model Parameters of Industrial...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Ryszard Kopka Rafał Stanisławski Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland

ISBN: (数字)9798350362343

ISBN: (纸本)9798350362350

This paper presents the results of determining thermal model parameters of the supercapacitors used in industrial applications. The energy losses inside the supercapacitor were determined based on measured current and voltage during the charging and discharging cycles. Based on them and measured temperatures, the thermal resistances of conduction and convection and the heat capacities were calculated. Thermal model parameters were derived for different charging and discharging currents leading to supercapacitor heating. Results will allow the temperature of supercapacitor housing and terminals to be calculated, depending on the charging and discharging currents at a constant ambient temperature.

关键词： Temperature measurement Temperature dependence Analytical models Voltage measurement Current measurement Thermal resistance Supercapacitors

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Initial conditions for a transient steady-state induction machine simulation based on time-harmonic and multi-harmonic solutions

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Archives of Electrical Engineering 2025年第2期74卷 361-373页

作者： Garbiec, Tomasz Opole University of Technology Faculty of Electrical Engineering Automatic Control and Informatics ul. Prószkowska 76 Opole45-758 Poland

The paper presents the results of the author’s research on effectively determining the initial conditions for the time-stepping model of a high-speed inverter-driven induction machine. The classical time-harmonic and multi-harmonic models based on the multidimensional effective magnetic permeability were used and compared as a preconditioner for the time-stepping model to speed up the steady-state solution. The carried-out simulation experiment proved that using both approaches radically accelerates computations. Furthermore, it has been shown that the multi-harmonic model is much more effective for problems with strong harmonic effects. © 2025. The Author(s).

关键词： Turbogenerators

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Study of power and voltage maps of a tri-stable electromagnetic energy harvester connected to a step-up converter

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Archives of Electrical Engineering 2025年第2期74卷 409-424页

作者： Kulik, Marcin Górecki, Krzysztof Jagiela, Mariusz Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology ul. Prószkowska 76 Opole45-758 Poland

Due to the specific operation and complex structure of the energy harvesting system, comprising a tri-stable nonlinear vibration energy harvester and a step-up converter, its performance can hardly be represented by a family of curves. For this reason, this paper presents its performance maps determined experimentally. Various converter parameters and loading resistances are used to assess the influence of excitation acceleration on output voltage and power. This study reveals that the system achieves a maximum power of 30.25 mW and a maximum output voltage of 5.32 V at an excitation acceleration of 10 m/s2 under optimal conditions. The analysis identifies operating regions restricted by the converter parameters where the system attains a minimum applicable voltage between 1.8 and 3.3 V alongside the acceptable output power. This makes it appropriate for powering wireless measurement systems and MEMS devices. The results reveal the need to adjust the converter settings to real-world scenarios adaptively. © 2025. The Author(s).

关键词： Rectifying circuits

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MELANOMA AUTOMATED DETECTION SYSTEM INTEGRATED WITH AN EHR PLATFORM

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science 2024年第1期86卷 57-68页

作者： El-Khatib, Hassan Ștefan, Ana-Maria Popescu, Dan Dept. of Automatic Control and Industrial Informatics National University of Science and Technology POLITEHNICA Bucharest Romania Dept. of Electronics Telecommunications and Information Technology National University of Science and Technology POLITEHNICA Bucharest Romania

Early melanoma detection is vital for improved treatment outcomes and reduced mortality. This paper proposes integrating an automated melanoma detection system into the Electronic Health Record, offering benefits like seamless screening during routine medical visits, enhancing early lesion detection. The system's efficiency allows providers to focus on patient care, while real-time alerts ensure timely follow-up. Patient engagement promotes proactive skin health. Interoperability within the EHR facilitates comprehensive care, resulting in better outcomes, reduced costs, and proactive prevention. © 2024, Politechnica university of Bucharest. All rights reserved.

关键词： Automation

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Comparison of artificial intelligence algorithms and expert approach in risk classification in nephrology 4

Comparison of artificial intelligence algorithms and expert ...

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4th International Workshop on Information Technologies: Theoretical and Applied Problems, ITTAP 2024

作者： Pawuś, Dawid Paszkiel, Szczepan Porażko, Tomasz University of Technology Faculty of Electrical Engineering Automatic Control and Informatics Prószkowska 76 Street Opole45-758 Poland Departament of Internal Medicine and Nephrology Institute of Medical Sciences University of Opole Oleska 48 Street Opole45-052 Poland Departament of Nephrology with Dialysis Unit Opole University Hospital Witosa 26 Street Opole46-020 Poland

This study presents a comparative analysis of various artificial intelligence (AI) and machine learning (ML) algorithms for risk classification in idiopathic membranous nephropathy (IMN), a complex kidney disease. The research evaluates seven different models, including K-Nearest Neighbors, Decision Trees, Random Forests, Support Vector Machines, Adaptive Boosting, LightGBM, and Multilayer Perceptron. The results reveal that ensemble methods, particularly Random Forests, achieve the highest precision in classifying IMN risk levels, highlighting their potential in improving diagnostic accuracy and patient management in nephrology. The study underscores the importance of model selection and fine-tuning to optimize AI applications in clinical settings, providing a basis for future advancements in AI-driven nephrology. © 2023 Copyright for this paper by its authors.

关键词： Expert systems

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APPLICATION OF THE FINITE ELEMENT METHOD TO DETERMINE THE VELOCITY PROFILE IN AN OPEN CHANNEL 36

APPLICATION OF THE FINITE ELEMENT METHOD TO DETERMINE THE VE...

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36th International ECMS Conference on Modelling and Simulation, ECMS 2022

作者： Wotzka, Daria Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology ul. Prószkowska 76 Opole45-758 Poland

ISBN: (纸本)9783937436777

This paper contains the results of work on the simulation of laminar and turbulent flows using the finite element method. In particular, exemplary literature references are indicated, boundary and initial conditions are described, and numerical results are illustrated, including fluid velocity distributions and profiles in a cylindrical open channel structure. ©ECMS Ibrahim A. Hameed, Agus Hasan, Saleh Abdel-Afou Alaliyat (Editors) 2022

关键词： Finite element method

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Multi-talker Verbal Interaction for Humanoid Robots

Multi-talker Verbal Interaction for Humanoid Robots

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Bartlomiej Klin Ryszard Beniak Michal Podpora Arkadiusz Gardecki Joanna Rut Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Department of Computer Science Opole University of Technology Faculty of Production Engineering and Logistics Opole University of Technology

ISBN: (数字)9798350362343

ISBN: (纸本)9798350362350

Working in multi-talker mode is viable under certain conditions, such as the fusion of audio and video stimuli along with smart adaptive beamforming of received audio signals. In this article, the authors verify part of the researched novel framework, which focuses on adapting to dynamic interlocutor’s location changes in the engagement zone of humanoid robots during the multi-talker conversation. After evaluating the framework, the authors confirm the necessity of a complementary and independent method of increasing the interlocutor’s signal isolation accuracy. It is necessary when video analysis performance plummets. The authors described the leading cause as insufficient performance during dynamic conversations. The video analysis cannot derive a new configuration when the interlocutor’s speech apparatus moves beyond the expected margin and the video frame rate drops.

关键词： Automation Accuracy Array signal processing Humanoid robots Oral communication Human factors

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Wireless Power Transfer System Design for Industrial Mobile Robots – Initial Study

Wireless Power Transfer System Design for Industrial Mobile ...

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International Scientific Conference on Electric Power Engineering (EPE)

作者： Przemyslaw Krupiarz Jaroslaw Zygarlicki Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland

This paper presents an initial study of Wireless Power Transfer systems design for Industrial Mobile Robots. Prerequisite for all industrial applications is that it shall be able to perform constantly, whereas currently the Industrial Mobile Robots must stop at fixed location to charge batteries. The time that robots are unutilized therefore should be minimized, to which we propose possible solutions. The designs apply an additional, intermediate energy buffer that increases the maximum applicable current. The proposed systems are split in two categories based on location, the first is a fixed, stationary type and the second is a type of phased array system built-in the plant floor.

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Machine Learning-Based Cascade Filtering System for fNIRS Data Analysis

Machine Learning-Based Cascade Filtering System for fNIRS Da...

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2023 Progress in Applied Electrical Engineering, PAEE 2023

作者： Pelc, Mariusz Mikolajewski, Dariusz Ruotsalo, Tuukka Leiva, Luis A. Sudol, Adam Gorzelanczyk, Edward Jacek Lysiak, Adam Kawala-Sterniuk, Aleksandra Opole University of Technology Faculty of Electrical Engineering Automatic Control and Informatics Opole Poland Institute of Computer Science Kazimierz Wielki University Bydgoszcz Poland University of Helsinki Finland University of Copenhagen Denmark Faulty of Natural and Technical Sciences University of Opole Opole Poland University of Opole Faculty of Natural and Technical Sciences Opole Poland Institute of Philosophy Kazimierz Wielki University Bydgoszcz Poland

ISBN: (纸本)9798350316254

This paper presents a preliminary study on the use of machine learning-based methods to select the appropriate parameters of cascade filters in the analysis of brain signals recorded using functional infrared spectroscopy (fNIRS), which shows the level of oxygenation in the brain and, unlike EEG signals (showing electrical brain activity), are less prone to potential interference, disturbances or artifacts occurrence. © 2023 IEEE.

关键词： Machine learning

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