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检索条件"机构=Division of Electronic Systems and Signal Processing Institute of Automatic Control and Robotics"

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

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

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signal processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Kacper Podbucki Tomasz Marciniak Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Electronic Systems and Signal Processing Jana Pawła II 24 Poznan University of Technology Poznań Poland

ISBN: (数字)9788362065486

ISBN: (纸本)9798350373806

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 ${9 0 \%}$.

关键词： Location awareness Histograms Accuracy Filtration signal processing algorithms Airports Sensors Meteorology Light sources Erosion

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Foreign Object Debris detection at aerodromes using YOLOv5

Foreign Object Debris detection at aerodromes using YOLOv5

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signal processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Jakub Suder Tomasz Marciniak Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Electronic Systems and Signal Processing Jana Pawła II 24 Poznan University of Technology Poznań Poland

ISBN: (数字)9788362065486

ISBN: (纸本)9798350373806

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.

关键词： YOLO Reviews Neural networks Software algorithms signal processing algorithms Software Real-time systems Video recording Monitoring Testing

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Analysis of fast prototyping of microcontroller-based ML software for acoustic signal classification 26

Analysis of fast prototyping of microcontroller-based ML sof...

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26th IEEE signal processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2023

作者： Marciniak, Filip Marciniak, Wojciech Marciniak, Tomasz Poznan University of Technology Faculty of Computing and Telecommunications Poznań60-965 Poland Poznan University of Technology DECYBEL Science Club Poznań60-965 Poland 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 Poznań60-965 Poland

ISBN: (纸本)9798350304985

The paper analyzes the preparation of software for acoustic signal classification with machine learning techniques for microcontrollers. The design process was tested for three types of devices: Nordic Thingy:53, *** and Arduino Nano 33 BLE Sense Lite. The classifier training process was carried out using the Edge Impulse platform. Experimental studies were carried out for the process of classifying sound signals generated by the vacuum cleaner motor. The results of the training and the model test were presented for different configurations. © 2023 division of signal processing and electronic systems, Poznan University of Technology (DSPES PUT).

关键词： Microcontrollers

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Fast Prototyping of In-Pavement Airport Navigation Lamp Prism Classification

Fast Prototyping of In-Pavement Airport Navigation Lamp Pris...

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signal processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Jakub Suder Tomasz Marciniak Division of Electronic Systems and Signal Processing Poznan University of Technology Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Poznań Poland

The paper presents an analysis of fast selection of neural network for the purpose of visual analysis of mechanical wear on prism lenses of in-pavement airport navigational lighting systems. This issue is particularly important in terms of aviation safety and navigational lighting control, regulated by EASA and ICAO. The article is the next stage of the development of the system for the vision control of lamps, in which the concept of using a different neural network with an increased data set prepared by the authors is presented. The Deep Network Designer tool included in the Matlab 2022b environment was used. The solution using the GoogLeNet neural network allows for the classification of lamps with an accuracy of 88.37%.

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Influence of power supply on airport navigation lamps photometric test accuracy

Influence of power supply on airport navigation lamps photom...

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signal processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Kacper Podbucki Jakub Suder Tomasz Marciniak Adam Dąrowski Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Electronic Systems and Signal Processing Poznan University of Technology Poznań Poland

The paper presents research on the accuracy of measuring illuminance and chromaticity of airport lamps. The impact of the type of DC and AC power supply on measurement was assessed with the use of electronic sensors. BH1750 and BH1745 type sensors in a microprocessor system with an I 2 C interface were used for the measurements. A professional luxmeter was used for comparison purposes. Experimental tests were carried out under laboratory conditions for three types of halogen lamps: approach system lamps, runway centerline lamps, and touchdown zone lamps.

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Basis change, projection, and relative linear algebra tricks in signal and image processing

Basis change, projection, and relative linear algebra tricks...

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signal processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Adam Dąbrowski Faculty of Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Signal Processing and Electronic Systems Jana Pawła II 24 Poznań University of Technology Poznań Poland

ISBN: (数字)9788362065486

ISBN: (纸本)9798350373806

In this tutorial some basic linear algebra problems: basis change and projection, are discussed together with examples of their applications in signal and image processing. In typical linear algebra university courses perpendicular projections are only discussed. However, in image processing, for defining various color spaces, we need non-perpendicular projections. That is why this is the key problem in this tutorial.

关键词： Vectors Null space Gray-scale Image color analysis Symmetric matrices Color Tutorials Transforms Robot kinematics Transducers

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Segmentation of Retina Vessels in 2D OCT-Reconstructed Fundus Images with 3D UNet

Segmentation of Retina Vessels in 2D OCT-Reconstructed Fundu...

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signal processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Tomasz Marciniak Agnieszka Stankiewicz Przemysław Zaradzki Department of Control Robotics and Electrical Engineering Division of Electronic Systems and Signal Processing Institute of Automatic Control and Robotics Poznan University of Technology Poznan Poland

This paper presents an analysis of the effectiveness of blood vessel segmentation in human retinal images. The segmentation process was carried out for three-dimensional optical coherence tomography (OCT) scans using the author’s publicly available CAVRI-C database. A 3D version of the U-Net artificial neural network was used. Various dimensions of the input blocks were investigated to determine their influence on the segmentation process. The effectiveness of the proposed solutions was evaluated using various metrics and the results obtained were compared with the 2D solution, also based on neural networks. The use of the proposed solutions allowed us to improve the segmentation even by 15% (in the case of the F1-score).

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Electrochemical determination of pollutants from various passenger car engines

Electrochemical determination of pollutants from various pas...

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signal processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Karolina Brończyk Michał Adamski Agata Dąbrowska Adam Konieczka Adam Dąbrowski Department of Trace Analysis Faculty of Chemistry Adam Mickiewicz University Poznań Poland Division of Electronic Systems and Signal Processing Institute of Automatic Control and Robotics Poznan University of Technology Poznań Poland

ISBN: (数字)9788362065486

ISBN: (纸本)9798350373806

This paper presents measurements of the concentrations of particulate matter (PM1, PM2.5, and PM10), carbon dioxide (CO 2 ), total organic compounds (TVOCs), and formaldehyde as pollutants released during fuel combustion. For this purpose, a suitable measuring device containing selective electrochemical sensors was prepared. The influence of fuel type and engine speed on the amount of pollutants released into the environment, was studied. Based on the achieved results, it can be concluded that the factor influencing the amount of pollutants released is mainly the type of fuel. Gasoline-powered cars can pollute the environment in a particularly negative way. A relationship was also noted between the increase in engine speed and the concentration of released carcinogenic formaldehyde.

关键词： Atmospheric measurements signal processing algorithms Particle measurements Combustion Pollution measurement Sensors Fuels Automobiles Engines Formaldehyde

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Accuracy and cross-sensitivity analysis of the PMS5003 formaldehyde sensor

Accuracy and cross-sensitivity analysis of the PMS5003 forma...

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signal processing Algorithms, Architectures, Arrangements and Applications (SPA)

ISBN: (数字)9788362065486

ISBN: (纸本)9798350373806

Measurement data produced with the PMS5003 electrochemical sensor, allegedly selective for formaldehyde, were analyzed. The amounts of formaldehyde released from heated standard solutions were measured. At the same time, samples were sorbed into sorption tubes with an XAD-2 cartridge, which enabled chromatographic analysis – gas chromatography coupled with an electron capture detector (GC-ECD). A susceptibility of the PMS5003 sensor to cross-sensitivity associated with the presence of other low-molecular-weight carbonyl compounds, such as acetaldehyde and acetone in the sample, was also tested. The conducted research clearly indicates poor selectivity/accuracy of the PMS5003 sensor in relation to formaldehyde and its sensitivity to the presence of other carbonyl compounds in the sample, with a structure similar to formaldehyde.

关键词： Heating systems Gas chromatography Sensitivity Accuracy signal processing algorithms Detectors Compounds Formaldehyde Standards Electrons

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Two approaches (GC-ECD and electrochemical sensors signals processing) to the determination of carbonyl compounds as markers of air pollution

Two approaches (GC-ECD and electrochemical sensors signals p...

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signal processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Karolina Brończyk Michał Adamski Agata Dąbrowska Adam Konieczka Adam Dąbrowski Department of Trace Analysis Faculty of Chemistry Adam Mickiewicz University Poznań Poland Division of Signal Processing and Electronic Systems Institute of Automatic Control and Robotics Poznan University of Technology Poznań Poland

This article presents the application possibilities of unmanned aerial vehicles (UAVs) for the rapid and efficient determination of carbonyl compounds: formaldehyde and acetaldehyde concentrations in gaseous environmental samples. One of the described methods is the use of special electrochemical sensors (PMS5003 and SEN0231) to measure air pollution in real time (every 10 seconds). The second method involves adsorbing gas samples into sorption tubes with XAD-2 cartridges and uses chromatographic analysis: gas chromatography coupled with a selective electron capture detector (GC-ECD). The proposed analytical technique allows the determination of carbonyl compounds at low concentration levels (μg/m 3 ) using pre-derivatization of samples with the reagent 2,3,4,5,6-pentafluorobenzyl-hydroxylamine (PFBOA). Comparing the results obtained from electrochemical sensors and chromatographic analysis, we can conclude that there are discrepancies between the determined concentrations of formaldehyde in the analyzed gas samples.

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