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12th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2024

作者： Szinyéri, B. Kovari, B. Völgyi, I. Kollár, D. Joó, A.L. Faculty of Electrical Engineering and Informatics Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary Faculty of Civil Engineering Department of Structural Engineering Budapest University of Technology and Economics Budapest Hungary

ISBN: (纸本)9781032770406

Multiple breakthroughs have emerged across various applications due to deep learning. These advancements can also be adapted for Bridge Weigh-In-Motion (BWIM) systems. A deep learning-based algorithm has been developed previously by the authors, which can be integrated into these systems. That algorithm shows promising results when compared to so-called static methods. One of the main contributions of our developments is handling the error of the preprocessing steps more efficiently. A developed axle load estimator is presented in this paper that builds on our previous solution, and which was tested in operation on a cable-stayed bridge. The algorithm handles multi-lane scenarios more efficiently when compared to our previous solution. The comparison of this novel algorithm and Moses’ algorithm is also presented in this paper. Our solution achieves lower error rates both on a synthetic dataset, and a real measurement-based annotated dataset. © 2024 The Author(s).

关键词： Cable stayed bridges

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Particle Filter Based Correction of On-Board Camera Driver Gaze Estimation 16

Particle Filter Based Correction of On-Board Camera Driver G...

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16th International Symposium on Electronics and Telecommunications, ISETC 2024

作者： Patrut, Deiana-Natalia Pescaru, Alexandru-Mihai Plosca, Traian-Radu Pescaru, Dan Politehnica University Timisoara Department of Computer and Information Technology Timisoara300223 Romania Politehnica University Timisoara Department of Automation and Applied Informatics Timisoara300223 Romania

ISBN: (纸本)9798350390865

Gaze estimation is an important tool for implementing driver assistance and autonomous driving algorithms. The accuracy of the estimation is crucial considering the impact of failure of such algorithms. In the last decade, an important effort was made to increase this accuracy. However, there are some dynamic conditions that have a great impact on it such as camera vibration determined by road holes or bumps, driver eyes blink or light reflections. The work presented in this paper proposes a modular solution designed to increase the accuracy of gaze prediction independently by the estimation method. It consists of a post-processing step involving a particle filtering solution meant to correct dynamic errors appearing under harsh conditions. To demonstrate the effectiveness of our approach, we use in the validation step an implementation of gaze estimation based on efficient L2CS-Net architecture followed by the particle filter correction module implemented in Python. The test results demonstrate the performance of the presented solution. © 2024 IEEE.

关键词： Time difference of arrival

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ON RESILIENCE OF FUTURE DECARBONISED ENERGY SYSTEMS IN EUROPE 8

ON RESILIENCE OF FUTURE DECARBONISED ENERGY SYSTEMS IN EUROP...

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8th International Hybrid Power Plants and Systems Workshop, HYB 2024

作者： Lotze, Jonas Moser, Massimo Hagenmeyer, Veit Department of Strategic Grid Planning TransnetBW GmbH Stuttgart Germany Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Eggenstein-Leopoldshafen Germany

ISBN: (纸本)9781837241521

The general scope the present model-based research is to analyse climate-neutral scenarios for Europe and to assess the respective resilience of the energy system. Two scenarios are therefore examined, one with an unrestricted global hydrogen market and the other with improved European energy resilience that limits pipeline imports of hydrogen from non-European countries. Key findings include increasing electrification of the heat and transport sectors, widespread use of Power-to-X appliances and, as a result, a doubling of total electricity consumption in Europe. On the power generation side, there is a need for massive expansion of renewables such as wind and photovoltaics. The analysis shows that a more resilient energy system will require additional electrolysis capacity, hydrogen storage and hydrogen grid capacity. The marginal cost of hydrogen will also increase as a result, and a higher price level will subsequently reduce the demand for hydrogen. The overall conclusion is that a transition from fossil fuels to renewables will, in any case, make the energy system much less dependent on imports and thus more resilient. © Energynautics GmbH.

关键词： Carbon capture and utilization

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Adaptive Dead Time Compensation for Continuous Cross-Period Single Phase-Shift Control of Dual Active Bridge Converters

Renewable Energy and Power Quality Journal

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Renewable Energy and Power Quality Journal 2022年 20卷 256-262页

作者： Veréb, Szabolcs Futó, András Sütő, Zoltán Balogh, Attila Varjasi, István Department of Automation and Applied Informatics Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Műegyetem rkp. 3 BudapestH-1111 Hungary

The load transient response of a power converter is an important property, especially in a test equipment application. The dynamic behavior of a dual active bridge converter mainly depends on the switching frequency, the transformer leakage inductance, and the capacitor bank size. Using the Continuous Cross-Period Single Phase-Shift control, an excellent load transient response can be achieved without the need for expensive hardware components. However, in practical applications, the switch delay and the required inserted dead time distort the current waveform, increasing the electromagnetic noise and reducing the effectiveness of the regulation. In this paper, an adaptive dead time compensation technique is presented, which eliminates such phenomenon. The effects of dead time are analyzed, and mathematical formulas are derived, from which the adaptive compensation technique is formalized. The algorithm is implemented on a TMS320F28075 DSP and tested in a HIL environment. The study revealed that the proposed adaptive technique could mitigate the current waveform distortions. © 2022, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

关键词： Power converters

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Role of Artificial Intelligence Techniques in Active Safety using Image Processing for Autonomous Driving Vehicles 16

Role of Artificial Intelligence Techniques in Active Safety ...

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16th IEEE International Symposium on applied Computational Intelligence and informatics, SACI 2022

作者： Moga, Delia Filip, Ioan Politehnica University of Timisoara Department of Automation and Applied Informatics Timisoara Romania

ISBN: (数字)9781665481250

ISBN: (纸本)9781665481250

This paper presents a study on the importance of using Artificial Intelligence methods in developing self-driving vehicles. Advances in Artificial Intelligence are one of the key enablers of the Autonomous Vehicles development. There are several ways to increase the level of autonomy of a vehicle and make it capable to avoid or prevent crashes. Advanced Driver Assistance Systems will help autonomous vehicles become a reality. Image processing of various traffic scenarios can be drastically improved by the use of the superior degrees of computer processing and computer vision techniques. With the help of convolutional neural networks (CNNs), not only that a single object can be detected and tracked in a sequence, but all relevant objects can be detected and classified for further processing. CNN s, the current state-of-the art for efficiently implementing deep neural networks for vision, are more efficient because they reuse a lot of weights across the image. Also, an introduction in synthetic data generation field is presented as a way to overcome the lack of labeled datasets for training networks. © 2022 IEEE.

关键词： Autonomous vehicles

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Two-Degree-of-Freedom Feedback Loop Factorization Controller for Oscillating Plant with Uncertain Time Delay and Astatism Using Structured Singular Value

Two-Degree-of-Freedom Feedback Loop Factorization Controller...

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2024 International Conference on Control, automation and Diagnosis, ICCAD 2024

作者： Dlapa, Marek Tomas Bata University In Zlin Faculty of Applied Informatics Department of Automation and Control Engineering Nad Stranemi 4511 Zlin760 05 Czech Republic

ISBN: (纸本)9798350361025

Application of Robust Control Toolbox for Time Delay Systems implemented in the Matlab system to the oscillating plant with uncertain time delay and astatism using the D-K iteration and algebraic approach. The algebraic approach combines the structured singular value, algebraic theory and algorithm of global optimization solving remaining issues in structured singular value framework. The algorithm for global optimization can be alternated with direct search methods such as Nelder-Mead simplex method giving solutions for problems with one local extreme. As a global optimization method, Differential Migration is used proving to be reliable in solving this type of problems. The D-K iteration represents a standard method in the structured singular value theory. The results obtained from the D-K iteration are compared with the algebraic approach. © 2024 IEEE.

关键词： Global optimization

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Dissolved ozone sensing in water and blood based on commercial screen-printed and BDD electrodes

Dissolved ozone sensing in water and blood based on commerci...

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2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023

作者： Petani, Lisa Llupa, Lea Peng, Zhen Ogata, Genki Koker, Liane Gengenbach, Ulrich Einaga, Yasuaki Pylatiuk, Christian Karlsruhe Institute of Technology Institute for Automation and Applied Informatics Karlsruhe Germany Keio University Department of Chemistry Yokohama Japan

ISBN: (纸本)9798350300260

Dissolved ozone sensing in water is crucial for a variety of applications, including water treatment, food processing, and medical therapies, as ozone is widely used as an oxidising agent in these processes. Furthermore, dissolved ozone sensing in blood is important for medical therapies. We present a novel dissolved ozone sensor for measurement in water, based on commercially available screen-printed electrodes covered with different porous membranes made of polytetrafluoroethylene (PTFE) and non porous membranes made of polydimethylsiloxane (PDMS). With PTFE, a root mean squared error (RMSE), which is the difference between the novel sensor and the reference spectrometer, of 3.62 mg l-1 can be achieved, while with PDMS a RMSE of 6.34 mg l-1 is obtained. Also, we investigated the measurement of dissolved ozone in blood with membrane-free and electrolyte-free boron-doped diamond (BDD) electrodes. The proposed dissolved ozone sensors offer a promising solution for inexpensive monitoring of dissolved ozone concentrations in water and blood with a compact design. © 2023 IEEE.

关键词： amperometry disposable electrochemistry low-cost medical applications ozone therapy sensors water treatment

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Validating neural networks for spectroscopic classification on a universal synthetic dataset

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npj Computational Materials 2023年第1期9卷 1325-1336页

作者： Jan Schuetzke Nathan J.Szymanski Markus Reischl Institute for Automation and Applied Informatics Karlsruhe Institute of TechnologyKarlsruhe 76131Germany Department of Materials Science&Engineering Lawrence Berkeley National LaboratoryBerkeleyCA 94720USA Department of Materials Science&Engineering UC BerkeleyBerkeleyCA 94720USA

To aid the development of machine learning models for automated spectroscopic data classification,we created a universal synthetic dataset for the validation of their *** dataset mimics the characteristic appearance of experimental measurements from techniques such as X-ray diffraction,nuclear magnetic resonance,and Raman spectroscopy among *** applied eight neural network architectures to classify artificial spectra,evaluating their ability to handle common experimental *** all models achieved over 98%accuracy on the synthetic dataset,misclassifications occurred when spectra had overlapping peaks or *** found that non-linear activation functions,specifically ReLU in the fully-connected layers,were crucial for distinguishing between these classes,while adding more sophisticated components,such as residual blocks or normalization layers,provided no performance *** on these findings,we summarize key design principles for neural networks in spectroscopic data classification and publicly share all scripts used in this study.

关键词： spectroscopic adding classify

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ZeitGeist: A Generic Tool Supporting the Dissemination of Time Series Data Following FAIR Principles 15

ZeitGeist: A Generic Tool Supporting the Dissemination of Ti...

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15th International Conference on Knowledge Management and Information Systems, KMIS 2023 as part of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2023

作者： Schmidt, Andreas Koubaa, Mohamad Anis Schweikert, Jan Stucky, Karl-Uwe Süß, Wolfgang Hagenmeyer, Veit Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe Germany Department of Computer Science and Business Information Systems University of Applied Sciences Karlsruhe Germany

ISBN: (纸本)9789897586712

An important point for the widespread dissemination of FAIR-data is the lowest possible entry barrier for preparing and providing data to other scientists according to the FAIR criteria. If scientists have to manually extract, transform and annotate the data according to the FAIR criteria and then export it to make it available to the public, this requires a significant investment of time that does not primarily reward the scientist who prepares and provides the data. The Energy Lab at KIT is running a large cluster of an Influx database management system with energy related time series data being stored in a variety of individual databases over periods of up to 15 years. In order to increase the willingness to make data available to the scientific public, we develop a tool that greatly supports and automates the publication and annotation process of time series data stored in Influx databases. Copyright © 2023 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Database systems

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Machine Learning Vulnerability Assessment of Ring Oscillator Physical Unclonable Functions

Machine Learning Vulnerability Assessment of Ring Oscillator...

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2023 International Conference on Control, automation and Diagnosis, ICCAD 2023

作者： Kareem, Husam Dunaev, Dmitriy Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Automation and Applied Informatics Muegyetem rkp. 3. BudapestH-1111 Hungary

ISBN: (纸本)9798350347074

Devices authentication and cryptographic keys production techniques are implemented in various security applications. Because of its ability to generate unique, unclonable, and unpredictable cryptographic keys, physically unclonable functions (PUFs) have been utilized in various hardware security applications. However, PUFs can be vulnerable to adversary attacks like machine learning (ML)-based modeling attacks. Input-output combinations of PUFs are called challenge-response pairs (CRPs). This article provides a vulnerability assessment of three recent Ring Oscillator (RO) PUFs approaches against ML modeling attacks. Assuming that adversary obtains part of the RO-PUF CRPs, and they can be used to predict the unrevealed CRPs. The article has a secondary objective to assess the impact of aging on the tested RO-PUF approaches in regenerating the same response. © 2023 IEEE.

关键词： Machine learning

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