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International Conference on Advanced Electrical engineering (ICAEE)

作者： Seyf Eddine Bechekir Meriem Belabed Mostefa Brahami Mokhtaria Jbilou Said Nemmich Mohemed Amine Marref Department of Electrical Engineering Intelligent Control and Electrical Power Systems Laboratory Djillali Liabes University of Sidi Bel-Abbes Algeria Laboratory of Applications of Plasma Electrostatics and Electromagnetic Compatibility (APELEC) Djillali Liabes University of Sidi Bel-Abbes Algeria Intelligent Control and Electrical Power Systems Laboratory Djillali Liabes University of Sidi Bel-Abbes Algeria Institute of Applied Sciences and Technologies University of Sciences and Technology of Oran MB Algeria

ISBN: (数字)9798350349351

ISBN: (纸本)9798350349368

This paper presents the implementation of a half-bridge resonant inverter to power a dielectric barrier discharge (DBD) ozone generator. We use the PIC16F876A microcontroller-based control circuit to vary the inverter frequency. We use a step-up transformer to obtain the high voltage required for the DBD. We conducted an experimental study to investigate the impact of frequency and voltage on ozone production and power consumption. The results show that these two parameters have a strong influence. This study demonstrates the advantages of using a resonant inverter combined with optimum electrical parameter adjustment to achieve excellent energy efficiency for the DBD ozone generator. The choice of a resonant half-bridge topology aims to maximize energy efficiency, crucial in a solar-powered system. The circuit has been optimized to reduce switching losses. In addition, the development of the power source takes into account the capacitive nature of DBD reactors, using a series resonant circuit formed by the DBD capacitance and the step-up transformer inductance. The frequency range from 14 kHz to 17.5 kHz has been specifically chosen and optimized for the DBD reactor, taking into account the constraints of the PV source and the characteristics of the discharge.

关键词： Gases Resonant frequency Production Transformers Discharges (electric) Corona Energy efficiency Inductors Frequency control Resonant inverters

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Study of the Shock Loads Effect on the Operation of Multi-Motor Electric Drives of a Rolling Mill with a Second-order Elastic Coupling

Study of the Shock Loads Effect on the Operation of Multi-Mo...

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International Conference on Modern Electrical and Energy systems (MEES)

作者： Valerii Tytiuk Alexey Kalinin Valeriy Druzhinin Vitalii Kuznetsov Oleksii Chornyi Victor Busher Department of Electromechanics Kryvyi Rih National University Kryvyi Rih Ukraine Department of Informative Computer Systems Abylkas Saginov Karaganda Technical University NPJSC Karaganda The Republic of Kazakhstan Department of Power Engineering Karaganda Industrial University NPJSC Temirtau The Republic of Kazakhstan Department of the Electrical Engineering Ukrainian State University of Science and Technologies Dnipro Ukraine Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Mykhailo Ostrogradskyi National University Kremenchuk Ukraine Dept. of Electrical Engineering and Electronics National University "Odessa Maritime Academy" Odessa Ukraine

This paper presents a study for optimizing a hot rolling mill. The paper is devoted to the study of ways to reduce the effect of shock loads of synchronous electric drives of the roughing mill group on the relative lengthening of the metal strip in the inter-stand gap of the rolling stands of the finishing mill group. The elasticity of the metal strip in the inter-stand gap of the rolling mill has a significant impact on the movement of intercoupled multi-motor electric drives of the finishing mill group. Another crucial route of exposure that influences the motion of the electric drives within the finishing mill group involves the electromagnetic connection between the drives in the roughing and finishing mill groups. The impact of the electromagnetically connected circuits is evident through the effect of shock loads from synchronous electric drives on the angular velocity of the direct current electric drives within the finishing mill group. The characteristics of the electromagnetic communication circuit are established by the power grid arrangement and equipment specifications. To assess the quality of work of electric drives of the finishing mill group, it is proposed to use the relative lengthening of the metal strip in the inter-stand gap, which is an important indirect indicator of the quality of rolling. The mathematical model of a hot rolling mill that takes into account both the elasticity of the metal strip that connects the DC electric drives of the finishing group, and the electromagnetic coupling circuit that takes into account the impact loads of synchronous electric drives of the roughing group on the example of the mill 1700 of ArcelorMittal Temirtau JSC was proposed in this paper. Using the mathematical model developed in Simulink software using the methods of planning the experiment, regression models were obtained to establish the dependence of the parameters of overexcitation of a synchronous motor on the magnitude of the voltage sag in the no

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Investigation of Automatic Part-of-Speech Tagging using CRF, HMM and LSTM on Misspelled and Edited Texts 5

Investigation of Automatic Part-of-Speech Tagging using CRF,...

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5th Artificial Intelligence and Cloud Computing Conference, AICCC 2022

作者： Aydinov, Farhad Huseynov, Igbal Sayadzada, Sofiya Rustamov, Samir Data Science University of Glasgow United Kingdom Computational Linguistics and Language Technologies Charles University Prague Czech Republic Department of Applied Mathematics and Computer Science Technical University of Denmark Copenhagen Denmark School of Information Technology and Engineering ADA University Baku Azerbaijan Institute of Control Systems BakuVarna Bulgaria Azerbaijan

ISBN: (纸本)9781450398749

Part-of-speech tagging is the process of assigning words in a given text to appropriate parts-of speech in order to reduce the disambiguation which may arise depending on the contextual usage of the words. In this paper, the problem of word sense disambiguation in Azerbaijani language is addressed by applying part of speech tagging on two varying data corpora, misspelled, and edited (clean) text using 3 different machine learning algorithms: Hidden Markov Model, Long Short-Term Memory, and Conditional Random Fields. The comparative analysis on the outcomes of the mentioned algorithms and their accuracy scores were analysed in the paper. The misspelled dataset for the experiments is provided by Unibank from their chatbot dialogues while the clean textual data was retrieved from the books and newspapers in Azerbaijani. The experiments showed that the Bidirectional LSTM has the highest accuracy scores for both edited (98.2%) and noisy (96.2%) data corpora. Suggested models can be used in the application of algorithms focuses on part of speech tags and syntactic structure of Azerbaijani language which is an agglutinative language belonging to Turkic languages family, thus enabling the research to be further investigated in other agglutinative languages with similar grammatical structure. © 2022 ACM.

关键词： Hidden Markov models

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Partial Oxidation of Methane Over Fe/Zsm-5 with Hydrogen Peroxide Generated in Situ Over Pd/C in the Presence of Halide Ions

SSRN

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SSRN 2023年

作者： Kang, Jongkyu Park, Eun Duck Department of Energy Systems Research Ajou University 206 World cup-ro Yeongtong-Gu Suwon16499 Korea Republic of Department of Chemical Engineering Ajou University 206 World cup-ro Yeongtong-Gu Suwon16499 Korea Republic of

The effect of halide ion on the catalytic activity for the aqueous-phase partial oxidation of methane with H2O2 generated in situ over Pd/C was examined. Various halide ions, including F-, Cl-, Br-, and I- were compared. Among them, Br- and I- are effective for the synthesis of H2O2 from H2 and O2, resulting in the synthesis of methane oxygenates from methane over Fe/ZSM-5. They show different product yields as a function of their concentrations. The highest total product yields were obtained with [KBr] = 5 mM and [KI] = 0.05 mM, respectively. Compared with Br-, the highest product yield was obtained with a much lower concentration of I-, guaranteeing that no detectable leaching of metal from Fe/ZSM-5 and Pd/C was found. The total productivity was 3.52 mmol/gcat./h over Fe/ZSM-5 at 50 ℃ with H2O2 generated in situ over Pd/C from H2 and O2 in the presence of 0.05 mM of KI. © 2023, The Authors. All rights reserved.

关键词： Methane

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Multi-objective optimization of equation of state molecular parameters: SAFT-VR Mie models for water

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Computers and chemical engineering 2022年 167卷

作者： Graham, Edward J. Forte, Esther Burger, Jakob Galindo, Amparo Jackson, George Adjiman, Claire S. Department of Chemical Engineering Sargent Centre for Process Systems Engineering Institute for Molecular Science and Engineering Imperial College London South Kensington Campus LondonSW7 2AZ United Kingdom University of Kaiserslautern Erwin-Schrödinger-Str. 44 Kaiserslautern67663 Germany Laboratory of Chemical Process Engineering Campus Straubing for Biotechnology and Sustainability Technical University of Munich Schulgasse 16 Straubing94315 Germany

The determination of a suitable set of molecular interaction parameters for use with an equation of state (EoS) can be viewed as a multi-objective optimization (MOO) problem, where each objective quantifies the quality of the description for a particular type of thermodynamic property. We outline a methodology for the determination of a set of Pareto-optimal interaction parameters. The Pareto front is generated efficiently using a sandwich algorithm where one solves a sequence of weighted-sum scalarized single objective optimization problems. The algorithm presented can be used for any number of objective functions, allowing for the consideration of multiple thermodynamic property types as competing objectives in the MOO. The methodology is applied to the determination of suitable parameter sets for models of water within the SAFT-VR Mie framework. Three competing property targets are considered as objective functions: saturated-liquid density, vapour pressure and isobaric heat capacity. Two different types of molecular models are considered: spherical models of water, and non-spherical model of water. We analyse the two- and three-dimensional Pareto surfaces and parameter sets obtained for different property combinations in the MOO. The proposed methodology can be used to provide a rigorous comparison between different model types. Numerous Pareto-optimal parameter sets for SAFT-VR Mie water models are documented, and we recommend two new models (one spherical model and one non-spherical model) with an appropriate compromise between the competing objectives. © 2022 The Author(s)

关键词： Multiobjective optimization

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Gaussian Process Phase Interpolation for estimating the asymptotic phase of a limit cycle oscillator from time series data

arXiv

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arXiv 2024年

作者： Yamamoto, Taichi Nakao, Hiroya Kobayashi, Ryota Graduate School of Frontier Sciences The University of Tokyo Kashiwa277-8561 Japan Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo152-8552 Japan Research Center for Autonomous Systems Materialogy Tokyo Institute of Technology Yokohama226-8501 Japan Mathematics and Informatics Center The University of Tokyo Tokyo113-8656 Japan

Rhythmic activity commonly observed in biological systems, occurring from the cellular level to the organismic level, is typically modeled as limit cycle oscillators. The phase reduction theory serves as a useful analytical framework for elucidating the synchronization mechanism of these oscillators. Essentially, this theory describes the dynamics of a multi-dimensional nonlinear oscillator using a single variable phase model. In order to understand and control the rhythmic phenomena in the real world, it is crucial to estimate the asymptotic phase from the observed data. In this study, we propose a new method, Gaussian Process Phase Interpolation (GPPI), for estimating the asymptotic phase from time series data. The GPPI method first evaluates the asymptotic phase on the limit cycle and subsequently estimates the asymptotic phase outside the limit cycle employing Gaussian process regression. Thanks to the high expressive power of Gaussian processes, the GPPI is capable of capturing a variety of functions. Notably, the GPPI is easily applicable even when the dimension of the system increases. The performance of the GPPI is tested by using simulation data from the Stuart-Landau oscillator and the Hodgkin-Huxley oscillator. The results demonstrate that the GPPI can accurately estimate the asymptotic phase even in the presence of high observation noise and strong nonlinearity. Additionally, the GPPI is demonstrated as an effective tool for data-driven phase control of a Hodgkin-Huxley oscillator. Thus, the proposed GPPI will facilitate the data-driven modeling of the limit cycle oscillators. Copyright © 2024, The Authors. All rights reserved.

关键词： Time series

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Adaptive State Observers of Linear Time-varying Descriptor systems: A Parameter Estimation-Based Approach

arXiv

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arXiv 2024年

作者： Ortega, Romeo Bobtsov, Alexey Castaños, Fernando Nikolaev, Nikolay Department of Electrical and Electronic Engineering ITAM Ciudad de México Mexico The Hangzhou Dianzi University ITMO Joint Institute Xiasha Higher Education Zone Zhejiang Hangzhou China Faculty of Control Systems and Robotics ITMO University Kronverkskiy av. 49 St. Petersburg197101 Russia The Departamento de Control Automático IPN Cinvestav Mexico The Faculty of Control Systems and Robotics ITMO University Kronverkskiy av. 49 St. Petersburg197101 Russia

In this paper, we apply the recently developed generalized parameter estimation-based observer design technique for state-affine systems to the practically important case of linear time-varying descriptor systems with uncertain parameters. We give simulation results of benchmark examples that illustrate the performance of the proposed adaptive observer. © 2024, CC BY-NC-ND.

关键词： Parameter estimation

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Exploring uncommon Fe-oxides in non-metallic inclusions in ultra-high-strength steel

Results in Materials

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Results in Materials 2024年 23卷

作者： Rani, Ekta Gupta, Vandna K. Gyakwaa, Francis Kharbach, Mourad Singh, Harishchandra Alatarvas, Tuomas Martinelli, Anna Fabritius, Timo Huttula, Marko Nano and Molecular Systems Research Unit University of Oulu Department of Chemistry and Chemical Engineering Chalmers University of Technology Process Metallurgy Research Unit University of Oulu Circular Economy/Sustainable Solutions LAB University of Applied Sciences

Investigating non-metallic inclusions within ultra-high-strength-steel via conventional methods is a known: however, the challenge is to obtain chemical information of such inclusions at the sub-micrometer level. In this context, probing Fe-based oxide in inclusions is a vital aspect for guiding steel’ performance. The vibrational properties of sub micrometer size Fe-based oxides were investigated by Raman mapping along with chemometric analysis with the aim of probing their chemical composition. Highly contrasted Raman spectra were recorded from several inclusions embedded at different spatial locations. The observed spectral features were identified as specific markers of hematite (α-Fe₂O₃) and magnetite (Fe₃O₄). Principal Component Analysis was used to confirm the presence of these markers and potentially revealing additional patterns. Their unambiguous assignment has been inferred by comparing our experimental findings with the literature data recorded either in single crystals of iron oxides or oxyhydroxides. Micro-Raman spectroscopy is proven to be a reliable, cost-effective, and non-invasive tool for the unambiguous identification of subsurface regions of steel. © 2024

关键词： Fe-based oxides Low carbon steel Non-metallic inclusion Principal component analysis Raman mapping

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Revisiting weak values through non-normality

arXiv

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arXiv 2023年

作者： Ferraz, Lorena Ballesteros Muolo, Riccardo Caudano, Yves Carletti, Timoteo naXys Namur Institute for Complex Systems University of Namur Belgium NISM Namur Institute of Structured Matter University of Namur Belgium Department of Physics University of Namur Belgium Department of Systems and Control Engineering Tokyo Institute of Technology 2 Chome-12-1 Ookayama Tokyo152-8550 Japan Department of Mathematics University of Namur Belgium

Quantum measurement is one of the most fascinating and discussed phenomena in quantum physics, due to the impact on the system of the measurement action and the resulting interpretation issues. Scholars proposed weak measurements to amplify measured signals by exploiting a quantity called a weak value, but also to overcome philosophical difficulties related to the system perturbation induced by the measurement process. The method finds many applications and raises many philosophical questions as well, especially about the proper interpretation of the observations. In this paper, we show that any weak value can be expressed as the expectation value of a suitable non-normal operator. We propose a preliminary explanation of their anomalous and amplification behavior based on the theory of non-normal matrices and their link with non-normality: the weak value is different from an eigenvalue when the operator involved in the expectation value is non-normal. Our study paves the way for a deeper understanding of the measurement phenomenon, helps the design of experiments, and it is a call for collaboration to researchers in both fields to unravel new quantum phenomena induced by non-normality. © 2023, CC BY-SA.

关键词： Design of experiments

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Position-Dependent Snap Feedforward: A Gaussian Process Framework

arXiv

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arXiv 2022年

作者： van Haren, Max Poot, Maurice Portegies, Jim Oomen, Tom The Control Systems Technology Section Department of Mechanical Engineering Eindhoven University of Technology Eindhoven Netherlands The Centre for Analysis Scientific Computing and Applications Department of Mathematics and Computer Science Eindhoven University of Technology Eindhoven Netherlands The Delft Center for Systems and Control Delft University of Technology Delft Netherlands

Mechatronic systems have increasingly high performance requirements for motion control. The low-frequency contribution of the flexible dynamics, i.e. the compliance, should be compensated for by means of snap feedforward to achieve high accuracy. Position-dependent compliance, which often occurs in motion systems, requires the snap feedforward parameter to be modeled as a function of position. Position-dependent compliance is compensated for by using a Gaussian process to model the snap feedforward parameter as a continuous function of position. A simulation of a flexible beam shows that a significant performance increase is achieved when using the Gaussian process snap feedforward parameter to compensate for position-dependent compliance. © 2022, CC BY.

关键词： Flexible structures

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