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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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On Convergence in Distribution of Stein's Unbiased Risk Hyper-parameter Estimator for Regularized System Identification 41

On Convergence in Distribution of Stein's Unbiased Risk Hype...

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第41届中国控制会议

作者： Yue Ju Tianshi Chen Biqiang Mu Lennart Ljung School of Data Science and Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and System ScienceChinese Academy of Sciences Division of Automatic Control Department of Electrical EngineeringLink?ping University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Asymptotic theory for the regularized system identification has received increasing interests in recent *** this paper,for the finite impulse response(FIR) model and filtered white noise inputs,we show the convergence in distribution of the Stein's unbiased risk estimator(SURE) based hyper-parameter estimator and find factors that influence its convergence *** particular,we consider the ridge regression case to obtain closed-form expressions of the limit of the regression matrix and the variance of the limiting distribution of the SURE based hyper-parameter estimator,and then demonstrate their relation numerically.

关键词： Asymptotic theory Stein's unbiased risk estimator Hyper-parameter estimator Regularized system identification

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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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A Feasibility Condition for the Governor-based Tuning of Explicit MPC: Application to a Hydraulic Plant ⁎

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IFAC-PapersOnLine 2024年第14期58卷 538-543页

作者： Raphael Dyrska Sebastian Leonow Miroslav Fikar Martin Mönnigmann Automatic Control and Systems Theory Ruhr-Universität Bochum Bochum Germany Institute of Information Engineering Automation and Mathematics Slovak University of Technology in Bratislava Bratislava Slovakia

We propose a feasibility condition for reference governors that are used to tune the behavior of a reference-tracking explicit model predictive controller. Governors allow for a simple tuning of existing controllers without modifying them. However, since properties like feasibility are often not accounted for by the governors, their applicability may be limited. We prove that feasibility can be guaranteed using information about the explicit solution, and demonstrate the resulting algorithm by controlling the flow rate in a laboratory-scale hydraulic plant.

关键词： controller tuning model predictive control governor feasibility hydraulic plant

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Improving Motor Imagery-Based Brain-Computer Interfaces with Simple EEG Data Augmentation Algorithms: A Comparative Analysis

Improving Motor Imagery-Based Brain-Computer Interfaces with...

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Metrology for Extended Reality, Artificial Intelligence and Neural engineering (MetroXRAINE), IEEE International Conference on

作者： Sourojit Goswami Jacob Phelan Sean Anderson Mahnaz Arvaneh Automatic Control and Systems Engineering Sheffield Sheffield United Kingdom Biomedical Engineering University of Sheffield Sheffield United Kingdom Insigneo Institute Neuroscience Institute Sheffield

ISBN: (数字)9798350378009

ISBN: (纸本)9798350378016

One of the primary challenges in motor imagery (MI) based brain-computer interfaces (BCIs) is the extensive calibration time required for individual users. This paper systematically reviews and compares various straightforward EEG data augmentation techniques aimed at reducing calibration time and enhancing model performance. We explored several algorithms, including segmentation and recombination in the time-frequency domain using short-time Fourier transform (TFSR), time warping (TW), noise injection (NI), and naïve transfer learning (NTL). Additionally, we introduced a novel algorithm called time instance segment concatenation (TISC), which merges EEG segments from periods immediately before and after the traditional motor imagery segments to capture a broader range of neural dynamics. Our experimental results on the BCI Competition IV dataset 2a indicated that NTL was the top-performing algorithm, achieving average accuracy improvements of 4.9%, 3%, 1.7%, and 3.2% over the baseline model without any data augmentation when 5, 10, 15, and 20 training trials per class were available, respectively. The proposed TISC algorithm showed potential, particularly in scenarios with moderate training trials, e.g., achieving an average accuracy increase of 1.5% over the baseline when 10 training trials per class were available. These findings suggest that TISC could be a useful addition to EEG data augmentation methods to improve the efficiency and usability of MI-based BCIs.

关键词： Training Image segmentation Heuristic algorithms Data augmentation Motors Brain modeling Electroencephalography Data models Brain-computer interfaces Calibration

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Towards safe Bayesian optimization with Wiener kernel regression

arXiv

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arXiv 2024年

作者： Molodchyk, Oleksii Teutsch, Johannes Faulwasser, Timm The Institute of Control Systems Hamburg University of Technology Hamburg21073 Germany The Chair of Automatic Control Engineering Technical University of Munich Munich80333 Germany

Bayesian Optimization (BO) is a data-driven strategy for minimizing/maximizing black-box functions based on probabilistic surrogate models. In the presence of safety constraints, the performance of BO crucially relies on tight probabilistic error bounds related to the uncertainty surrounding the surrogate model. For the case of Gaussian Process surrogates and Gaussian measurement noise, we present a novel error bound based on the recently proposed Wiener kernel regression. We prove that under rather mild assumptions, the proposed error bound is tighter than bounds previously documented in the literature which leads to enlarged safety regions. We draw upon a numerical example to demonstrate the efficacy of the proposed error bound in safe BO. Copyright © 2024, The Authors. All rights reserved.

关键词： Errors

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Steps Toward Industry 5.0:Building“6S”Parallel Industries With Cyber-Physical-Social Intelligence

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IEEE/CAA Journal of automatica Sinica 2023年第8期10卷 1692-1703页

作者： Xingxia Wang Jing Yang Yutong Wang Qinghai Miao Fei-Yue Wang Aijun Zhao Jian-Ling Deng Lingxi Li Xiaoxiang Na Ljubo Vlacic School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China IEEE Macao University of Science and Technology Macao 999078China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of SciencesBeijing 100098 State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China North Automatic Control Technology Institute Taiyuan 030006China China Huaneng Group Co. Ltd.Beijing 100031China Department of Electrical and Computer Engineering Indiana University-Purdue University Indianapolis(IUPUI)IndianapolisIN 46202 USA Department of Engineering University of CambridgeCambridgeCB21PZUK School of Engineering and Built Environment Griffith UniversityGold CoastQLD 4222Australia

Very recently,intensive discussions and studies on Industry 5.0 have sprung up and caused the attention of researchers,entrepreneurs,and policymakers from various sectors around the ***,there is no consensus on why and what is Industry 5.0 *** this paper,we define Industry 5.0from its philosophical and historical origin and evolution,emphasize its new thinking on virtual-real duality and human-machine interaction,and introduce its new theory and technology based on parallel intelligence(PI),artificial societies,computational experiments,and parallel execution(the ACP method),and cyber-physical-social systems(CPSS).Case studies and applications of Industry 5.0 over the last decade have been briefly summarized and analyzed with suggestions for its future *** believe that Industry 5.0 of virtual-real interactive parallel industries has great potentials and is critical for building smart *** are outlined to ensure a roadmap that would lead to a smooth transition from CPS-based Industry 4.0 to CPSS-based Industry 5.0 for a better world which is Safe in physical spaces,S ecure in cyberspaces,Sustainable in ecology,Sensitive in individual privacy and rights,Service for all,and Smartness of all.

关键词： ACP artificial intelligence CPS CPSS Industry 4.0 Industry 5.0 parallel industries parallel intelligence

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Adaptive control of Electromechanical Actuator Taking into Account Nonlinear Factors Based on Exo-model

Adaptive Control of Electromechanical Actuator Taking into A...

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2022 Conference of Russian Young Researchers in Electrical and Electronic engineering, ElConRus 2022

作者： Khanh, Nguyen D. Kuznetsov, Vladimir E. Lukichev, Andrey N. Chung, Phan T. Saint Petersburg Electrotechnical University Leti Department of Automatic Control Systems St. Petersburg Russia Institute of Mechanical Engineering Ha Noi Viet Nam

ISBN: (纸本)9781665409933

This paper considers the design of a mathematical model of an electromechanical actuator (EMA) taking into account nonlinear factors such as: frictional forces in the motor;clearance in the intermediate gearbox of rotational motion and the mechanism for converting rotational motion into translational motion, as well as elastic properties of the plant. The synthesis of an adaptive regulator for an electromechanical actuator based on an Exo-model is considered. The efficiency and quality of the adaptive controller are analyzed and compared when changing different widths of the gap in the EMA, as well as the effect of the load on the system. The research results are simulated in the MATLAB/Simulink software environment. © 2022 IEEE.

关键词： Adaptive control systems

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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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