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27th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2024

作者： Marciniak, Tomasz Stankiewicz, Agnieszka Poznan University of Technology Institue of Automatic Control and Robotics Department of Automatic Control Robotics and Electrical Engineering Poznan Poland

ISBN: (纸本)9788362065486

The aim of this article is to analyze the impact of adaptive histogram equalization of the human eye OCT B-scans on the effectiveness of the classification of pathological changes. Tests were performed on two datasets. The first dataset contains 4 class B-scans (CNV, DME, DRUSEN, and NORMAL) taken with the use of Spectralis Heidelberg device, while the second dataset contains images from two devices (Spectralis Heidelberg OCT and Avanti Optovue OCT) and additionally contains the VMT (i.e., vitreomacular traction) class. The images were subjected to standard histogram equalization and contrast limited adaptive histogram equalization (CLAHE) with various parameters. The classification process was carried out using VGG16 artificial neural network. It can be observed that histogram equalization has no significant impact on improving classification performance. © 2024 Division of Signal Processing and Electronic Systems, Poznan University of Technology (DSPES PUT).

关键词： Optical coherence tomography

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Model Predictive control based Motion Cueing Algorithm for Driving Simulator

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Journal of Systems Science and Systems Engineering 2024年第5期33卷 607-626页

作者： Ayesha Hameed Ali Soltani Sharif Abadi Andrzej Ordys Institute of Automatic Control and Robotics Warsaw University of TechnologyWarsawPoland Institute of Electronic Systems Warsaw University of TechnologyWarsawPoland

Thanks to the emerging integration of algorithms and simulators, recent Driving Simulators (DS) find enormous potential in applications like advanced driver-assistance devices, analysis of driver’s behaviours, research and development of new vehicles and even for entertainment purposes. Driving simulators have been developed to reduce the cost of field studies, allow more flexible control over circumstances and measurements, and safely present hazardous conditions. The major challenge in a driving simulator is to reproduce realistic motions within hardware constraints. Motion Cueing Algorithm (MCA) guarantees a realistic motion perception in the simulator. However, the complex nature of the human perception system makes MCA implementation challenging. The present research aims to improve the performance of driving simulators by proposing and implementing the MCA algorithm as a control problem. The approach is realized using an actual vehicle model integrated with a detailed model of the human vestibular system, which accurately reproduces the driver’s perception. These perception motion signals are compared with simulated ones. A 2-DOF stabilized platform model is used to test the results from the two proposed control strategies, Proportional Integrator and Derivative (PID) and Model Predictive control (MPC).

关键词： Driving simulator motion cueing algorithm control theory model predictive control PID

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TUNING OF PID controlLER USING IC ALGORITHM FOR A CAPSUBOT 38

TUNING OF PID CONTROLLER USING IC ALGORITHM FOR A CAPSUBOT

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38th Annual European Simulation and Modelling Conference, ESM 2024

作者： Babiarz, Artur Silesian University of Technology Department of Automatic Control and Robotics Poland

ISBN: (纸本)9789492859334

In this paper, the optimal value of parameters of PID controller are obtained using imperialist competitive algorithm (ICA). The five cost functions are selected: ISE, ITSE, IAE, ITAE and IF. These functions are used in ICA as objective functions. Results from ICA are applied in the control scheme for legless capsubot robot and the responses to the given signal are presented in figures and discussed. © 2024 Modelling and Simulation 2024 - 38th Annual European Simulation and Modelling Conference 2024, ESM 2024. All rights reserved.

关键词： Cost functions

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SIMULATION OF A SCARA ROBOT MOVEMENTS-PID controlLER TUNING STUDYING 38

SIMULATION OF A SCARA ROBOT MOVEMENTS-PID CONTROLLER TUNING ...

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38th Annual European Simulation and Modelling Conference, ESM 2024

作者： Muszyński, Dominik Babiarz, Artur Silesian University of Technology Department of Automatic Control and Robotics Poland

ISBN: (纸本)9789492859334

In this paper, a SCARA robot was modeled and properly simulated. It was implemented in the Matlab/Simulink environment, together with appropriate PID controllers. The process of tuning the PID controller parameters was carried out using popular tuning methods with the Integral of Absolut Error (IAE) criterion. The method of movement of subsequent elements was analyzed (using available tools - Simscape) and compared for various PID controller settings. © 2024 Modelling and Simulation 2024 - 38th Annual European Simulation and Modelling Conference 2024, ESM 2024. All rights reserved.

关键词： Three term control systems

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A Stochastic Approach to Modeling Long-Term Degradation of the Electronic Security Systems as a crucial element of evaluation of Physical Protection Systems (PPS) 50

A Stochastic Approach to Modeling Long-Term Degradation of t...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Kapusta, Jan Bauer, Waldemar Baranowski, Jerzy Department of Automatic Control & Robotics AGH University of Krakow Krakow Poland

ISBN: (纸本)9781665464543

This study introduces a stochastic model designed to evaluate the long-term degradation of Electronic Security Systems (ESS) as critical components of Physical Protection Systems (PPS). Recognizing the significant financial investments in security systems and the evolving nature of threats, our model aims to provide a more dynamic assessment of PPS effectiveness over time. Traditional methodologies, such as the Estimated Adversary Sequence Interruption (EASI), often overlook the degradation factor, potentially leading to mismanagement and increased vulnerability. Our model incorporates various stochastic parameters, including aging, adversary knowledge growth, and technological improvements, to simulate the decline in system effectiveness. We present a comprehensive computational framework using Python, demonstrating the model’s application through a case study involving different ESS components with varied ages. The results highlight the necessity for proactive maintenance strategies and dynamic policy-making to sustain PPS effectiveness. This paper underscores the importance of integrating degradation factors into PPS evaluation to enhance security infrastructure management against evolving threats. © 2024 IEEE.

关键词： Stochastic models

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Analysis of the effectiveness of object recognition algorithms using a thermal imaging camera 4

Analysis of the effectiveness of object recognition algorith...

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4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2024

作者： Kozik, Jaroslaw Nawrat, Aleksander M. Daniec, Krzysztof Silesian University of Technology Department of Automatic Control and Robotics Gliwice Poland

ISBN: (纸本)9798350391183

The work presents a comparison of the object recognition methods based on three algorithms (Eigenface, Fisherfaces, LBPH-Local Binary Patterns Histograms), which were extended to include thermal imaging. The aim of the work is to select the most effective analytical method in changing environmental conditions and implement it in the form of software for a technological project called OctoView. The system placed on a drone, combined with efficient processing units and Jetson NANO microcomputers in cooperation with a multi-vision system, will provide comprehensive analysis and image assessment of 'threats' located in the observed area, recording field events, tactical risk analysis and reports, monitoring areas border areas, status and position and type of own resources in border (or other) sections. This project is dedicated to military, border, customs, fire brigade and police applications. The purpose of implementing the software is to increase security in border areas through continuous image observation and analysis [1]-[3], as well as monitoring threats and their dynamics. © 2024 IEEE.

关键词： Thermography (imaging)

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Using Docker Containers in Teaching of Advanced Data Analytics Methods 11

Using Docker Containers in Teaching of Advanced Data Analyti...

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11th IEEE International Conference on E-Learning in Industrial Electronics, ICELIE 2024

作者： Gaweda, Bartlomiej Bauer, Waldemar Baranowski, Jerzy AGH University of Krakow Dept. of Automatic Control and Robotics Krakow Poland

ISBN: (纸本)9798350363654

In this paper we consider an important problem in teaching of advanced theory is that you need access to complicated software. In many cases in order to allow students to participate in more challenging classes, like Bayesian data analysis, or advanced FPGA programming you encounter an issue that setting up the relevant software on their machines consumes significant part of the course, and you need to troubleshoot issues that are irrelevant to the actual topic. We present a solution from our own experience that is using container software i.e. Docker and we show how it significantly improved our work when teaching data analytics and Bayesian methods in general. © 2024 IEEE.

关键词： containers probabilistic programming teaching statistical modeling

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Efficient Multi-task Learning for Road Scene Classification: Scene, Time, and Weather Predictions 20

Efficient Multi-task Learning for Road Scene Classification:...

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20th IEEE International Conference on Intelligent Computer Communication and Processing Conference, ICCP 2024

作者： Prykhodchenko, Roman Skruch, Pawel Agh University of Science and Technology Department of Automatic Control and Robotics Cracow Poland

ISBN: (纸本)9798331539979

This paper addresses the task of road scene classification by leveraging multi-task learning (MTL) to improve model performance and computational efficiency. We employ the BDD100K dataset, which provides diverse driving scenarios, and apply data augmentation and balancing techniques to mitigate class imbalances. Our methodology integrates a ResNet18 backbone pre-trained on ImageNet, extended with task-specific heads for scene type, time of day, and weather classification. Uniform Manifold Approximation and Projection (UMAP) is used for dimensionality reduction and visualization of feature embeddings. Experiments demonstrate that our MTL approach significantly enhances classification accuracy across tasks, with notable performance in time-of-day classification. The proposed model achieves robust results despite class imbalances, validated through confusion matrices and UMAP visualizations. Our findings highlight the benefits of MTL in road scene classification, offering insights for future research in autonomous driving and computer vision. © 2024 IEEE.

关键词： Dimensionality reduction

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Camera-based light source localization for precise luminous intensity measurement of airport lamps 27

Camera-based light source localization for precise luminous ...

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27th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2024

作者： Podbucki, Kacper Marciniak, Tomasz Poznan University of Technology Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Electronic Systems and Signal Processing Jana Pawla II 24 Poznań60-965 Poland

ISBN: (纸本)9788362065486

Measuring luminous intensity using electronic sensors requires their precise positioning. In the case of mobile measurement platforms, it is important to detect the light source and thus determine the correct direction of movement of the measuring device. This article presents research on a solution for the initial detection of glowing airport lamps based on camera images. The impact of the selection of parameters and image processing methods on the prepared data set was assessed. The histogram filtration method was introduced to improve the effectiveness of airport lamp localization. The proposed solution was investigated in different weather and daytime conditions. The overall accuracy of the proposed solution is more than 90%. © 2024 Division of Signal Processing and Electronic Systems, Poznan University of Technology (DSPES PUT).

关键词： Image enhancement

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Foreign Object Debris detection at aerodromes using YOLOv5 27

Foreign Object Debris detection at aerodromes using YOLOv5

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27th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2024

作者： Suder, Jakub Marciniak, Tomasz Poznan University of Technology Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Electronic Systems and Signal Processing Jana Pawla II 24 Poznań60-965 Poland

ISBN: (纸本)9788362065486

The latest EASA recommendations from 2024 indicate the possibility of using machine learning techniques in aerodrome monitoring. The aim of the work was to analyze solutions and prepare FOD (Foreign Object Debris) object detection software on aerodromes. In order to implement the issue, a dataset of photos and video recordings for testing algorithms was developed. The dataset consists of 1480 photos showing FOD at aerodromes and photos of the runway itself, according to EASA and FAA recommendations. FOD detection was implemented using a classical, k-means method and effective YOLOv5. © 2024 Division of Signal Processing and Electronic Systems, Poznan University of Technology (DSPES PUT).

关键词： Video recording

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