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On the chronological understanding of the homogeneous dielectric barrier discharge

High Voltage 2023年第6期8卷 1132-1150页

作者： Xinpei Lu Zhi Fang Dong Dai Tao Shao Feng Liu Cheng Zhang Dawei Liu Lanlan Nie Chunqi Jiang State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhanChina College of Electrical Engineering and Control Science Nanjing Tech TechnologyNanjingChina School of Electric Power South China University of TechnologyGuangzhouChina Institute of Electrical Engineering Chinese Academy of SciencesBeijingChina Frank Reidy Research Center for Bioelectrics Old Dominion UniversityNorfolkVirginiaUSA Department of Electrical and Computer Engineering Old Dominion UniversityNorfolkVirginiaUSA

Dielectric barrier discharges(DBD)are widely utilised non‐equilibrium atmospheric pressure plasmas with a diverse range of applications,such as material processing,surface treatment,light sources,pollution control,and *** the course of several decades,extensive research has been dedicated to the generation of homogeneous DBD(H‐DBD),focussing on understanding the transition from H‐DBD to filamentary DBD and exploring strategies to create and sustain H‐*** paper first discusses the in-fluence of various parameters on DBD,including gas flow,dielectric material,surface conductivity,and mesh ***,a chronological literature review is presented,highlighting the development of H‐DBD and the associated understanding of its un-derlying *** encompasses the generation of H‐DBD in helium,nitrogen,and ***,the paper provides a brief overview of multiple‐current‐pulse(MCP)behaviours in H‐*** objective of this article is to provide a chronological un-derstanding of homogeneous dielectric barrier discharge(DBD).This understanding will aid in the design of new experiments aimed at better comprehending the mechanisms behind H‐DBD generation and ultimately assist in achieving large‐volume H‐DBD in an air environment.

关键词： dielectric barrier pollution

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Comparison of Data-Driven Model Reference Adaptive Control Methods for Attitude Control of Autonomous Underwater Vehicles

Comparison of Data-Driven Model Reference Adaptive Control M...

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2023 MTS/IEEE U.S. Gulf Coast, OCEANS 2023

作者： Oesterheld, Derek I. Stilwell, Daniel J. Kurdila, Andrew J. Guo, Jia Krauss, Stephen Virginia Tech Department of Electrical and Computer Engineering BlacksburgVA24060 United States Virginia Tech Mechanical Engineering Department United States School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States

ISBN: (纸本)9798218142186

This paper details the implementation of two model reference adaptive controllers on autonomous underwater vehicle (AUV) attitude dynamics starting from the standard six degree-of-freedom dynamic model. We apply two model reference adaptive control (MRAC) algorithms which make use of kernel functions for learning functional uncertainty present in the system dynamics. The first is based on the recent results developed for a MRAC based on operator-valued kernels. The second is an implementation of the Gaussian Process MRAC developed by Chowdhary, et al. We briefly summarize the method of each of these algorithms before contrasting the underlying theoretical structure of each algorithm. Finally, we provide a comparison of each algorithm's performance on the six degree-of-freedom dynamic model of the virginia Tech 690 AUV. © 2023 The Marine Technology Society (MTS).

关键词： Model reference adaptive control

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Fractal Dimension Analysis Demonstrates Overestimation and Underestimation of Time in EEG Signal 1

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13th National Technical Symposium on Unmanned System Technology, NUSYS 2023

作者： Azari, Maryam Mollazadeh Sarbaz, Yashar Koohestani, Behrooz Farzamnia, Ali Modeling Biological System’s Laboratory Department of Biomedical Engineering Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran Department of Computer Engineering Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran Faculty of Engineering Universiti Malaysia Sabah Sabah Kota Kinabalu Malaysia School of Computing and Engineering University of Huddersfield Huddersfield United Kingdom

ISBN: (数字)9789819720279

ISBN: (纸本)9789819720262

Keeping track of time is regarded as an essential human behavior. The question of how the brain deals with temporal information remains a subject of scholarly debate. The current investigation aims to explore the mechanism underlying time perception by extracting fractal dimension from an electroencephalogram (EEG) signal and its frequency bands. To accomplish this, Higuchi’s fractal dimension was calculated for 42 healthy subjects’ electroencephalogram (EEG) signal and its sub-bands during the time perception task. The EEG signal was recorded from 19 channels. Subsequently, a statistical analysis was conducted to compare participants who underestimated versus those who overestimated the elapsed time and significantly different channels were presented. The findings suggest an elevated level of fractal dimensionality in persons who displayed a tendency to overestimate time. The EEG signal and Gamma rhythm emerged as the most distinguishing signals between the two cohorts. The contrast in fractal dimension between the two groups was predominantly apparent in the parietal and central channels. To summarize, an increased level of complexity is discernible in the EEG signal and high-frequency rhythms when there is an overestimation of temporal duration. It can be asserted that the employment of FD yields presents an exceptional approach to comprehending cerebral functionalities, notably temporal perception. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Electroencephalography

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On Differentiation Among Pilot Signals of Multiple Mobile Targets in Retro-Reflective Beamforming for Wireless Power Transmission

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engineering 2023年第11期30卷 55-62页

作者： Xin Wang Long Li Tie Jun Cui Mingyu Lu School of Electrical Engineering Chongqing UniversityChongqing 400044China School of Electronic Engineering Xidian UniversityXi’an 710071China State Key Laboratory of Millimeter Waves School of Information Science and EngineeringSoutheast UniversityNanjing 210096China Department of Electrical and Computer Engineering West Virginia University Institute of TechnologyBeckleyWV 25801USA

An experimental study is conducted on several retro-reflective beamforming schemes for wireless power transmission to multiple wireless power receivers(referred to herein as“targets”).The experimental results demonstrate that,when multiple targets broadcast continuous-wave pilot signals at respective frequencies,a retro-reflective wireless power transmitter is capable of generating multiple wireless power beams aiming at the respective targets as long as the multiple pilot signals are explicitly separated from one another by the wireless power ***,various practical complications are identified when the pilot signals of multiple targets are not appropriately differentiated from each other by the wireless power ***,when multiple pilot signals are considered to be carried by the same frequency,the wireless power transmission performance becomes heavily dependent on the interaction among the pilot signals,which is highly undesirable in *** conclusion,it is essential for a retro-reflective wireless power transmitter to explicitly discriminate multiple targets’pilot signals among each other.

关键词： Wireless power transmission Microwave antenna array Retro-reflective beamforming Pilot signal Multiple access

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Borda Regret Minimization for Generalized Linear Dueling Bandits 41

Borda Regret Minimization for Generalized Linear Dueling Ban...

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41st International Conference on Machine Learning, ICML 2024

作者： Wu, Yue Jin, Tao Di, Qiwei Lou, Hao Farnoud, Farzad Gu, Quanquan Department of Computer Science University of California Los Angeles Los AngelesCA United States Department of Computer Science University of Virginia CharlottesvilleVA United States Department of Electrical & Computer Engineering University of Virginia CharlottesvilleVA United States

Dueling bandits are widely used to model preferential feedback prevalent in many applications such as recommendation systems and ranking. In this paper, we study the Borda regret minimization problem for dueling bandits, which aims to identify the item with the highest Borda score while minimizing the cumulative regret. We propose a rich class of generalized linear dueling bandit models, which cover many existing models. We first prove a regret lower bound of order Ω(d2/3T2/3) for the Borda regret minimization problem, where d is the dimension of contextual vectors and T is the time horizon. To attain this lower bound, we propose an explore-then-commit type algorithm for the stochastic setting, which has a nearly matching regret upper bound Ȭ(d2/3T2/3). We also propose an EXP3-type algorithm for the adversarial linear setting, where the underlying model parameter can change in each round. Our algorithm achieves an Ȭ(d2/3T2/3) regret, which is also optimal. Empirical evaluations on both synthetic data and a simulated real-world environment are conducted to corroborate our theoretical analysis. Copyright 2024 by the author(s)

关键词： Stochastic systems

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Enhancing Driving Behavior Analysis in Autonomous Systems: A Reservoir Computing and Temporal-Aware Machine Learning Approach 2

Enhancing Driving Behavior Analysis in Autonomous Systems: A...

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2nd IEEE International Conference on Mobility, Operations, Services and Technologies, MOST 2024

作者： Nowshin, Fabiha Sethi, Sanchit Dong, Zheng Yi, Yang Virginia Tech Bradley Department of Electrical and Computer Engineering BlacksburgVA United States Wayne State University Computer Science Department DetroitMI United States

ISBN: (纸本)9798350307733

In the rapidly evolving domain of autonomous vehicles, ensuring safety and reliability through advanced anomaly detection is paramount. Reservoir Computing, a novel approach for processing time-series data in dynamic systems, stands out for its ability to capture complex temporal patterns efficiently. This paper introduces an innovative method that integrates Reservoir Computing with temporal-aware data analysis to enhance driver behavior assessment. Our approach employs a unique combination of autoencoder-based feature extraction and Reservoir Computing to analyze driving metrics from vehicle sensors. The autoencoder compresses and encodes these temporal features, which are then processed by a reservoir computing model, adept at processing intricate temporal dependencies in the data. To evaluate the effectiveness of our model we simulate with a GPS dataset of 10,000 taxis to identify various driving dynamics of speed, acceleration, and state changes providing a comprehensive view of driver behavior. We further categorize drivers into different sets based on their driving performance using a support vector machine (SVM) algorithm. Our algorithm marks a significant step forward in anomaly detection for autonomous vehicles, offering a route to safer driving experiences and advancing vehicle safety technologies. © 2024 IEEE.

关键词： Support vector machines

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Nonlinear multi-resonant cavity QED gyroscope

Nonlinear multi-resonant cavity QED gyroscope

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Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023

作者： Sun, Mengdi Lin, Zin Bradley Department of Electrical and Computer Engineering Virginia Tech ArlingtonVA22203 United States

ISBN: (纸本)9781957171296

A novel design of nonlinear multi-resonant quantum light gyroscope that combines quantum correlations, nonlinear three-wave mixing and non-inertial sensing on the same resonator is proposed and theoretically analyzed. The theoretical sensitivity under the fundamental quantum noise limit was estimated at various schemes of the injection light by maximizing the Fisher Information by Bayesian optimization. > 900 X sensitivity enhancement over standard shot-noise limited linear gyroscope with the same footprint, intrinsic quality factor and power budget has been demonstrated. © Optica Publishing Group 2023, © 2023 The Author(s) ©2023 Optica Publishing Group.

关键词： Cavity quantum electrodynamics Fiber optic gyroscopes Nonlinear parametric processes Photonic devices Quantum noise Three wave mixing

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Synthetic Latent Fingerprint Generation Using Style Transfer 22

Synthetic Latent Fingerprint Generation Using Style Transfer

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22nd International Conference of the Biometrics Special Interest Group, BIOSIG 2023

作者： Joshi, Amol S. Dabouei, Ali Nasrabadi, Nasser M. Dawson, Jeremy West Virginia University Lane Department of Computer Science and Electrical Engineering Morgantown United States

ISBN: (纸本)9798350336559

Limited data availability is a challenging problem in the latent fingerprint domain. Synthetically generated fingerprints are vital for training data-hungry neural network-based algorithms. Conventional methods distort clean fingerprints to generate synthetic latent fingerprints. We propose a simple and effective approach using style transfer and image blending to synthesize realistic latent fingerprints. Our evaluation criteria and experiments demonstrate that the generated synthetic latent fingerprints preserve the identity information from the input contact- based fingerprints while possessing similar characteristics as real latent fingerprints. Additionally, we show that the generated fingerprints exhibit several qualities and styles, suggesting that the proposed method can generate multiple samples from a single fingerprint. © 2023 IEEE.

关键词： Neural networks

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Hybrid Modulation for a SHB-FB Converter Employed in An Integrated On-board Charger and Auxiliary Power Module

Hybrid Modulation for a SHB-FB Converter Employed in An Inte...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Liang, Ziwei Bijukchhe, Rajib Zhu, Liyan Bai, Hua Cebanov, Evgheni Samila, Myron Forouzesh, Mojtaba Phillips, Headley University of Tennessee Department of Electrical Engineering and Computer Science KnoxvilleTN United States Virginia Tech The Bradley Department of Electrical and Computer Engineering BlacksburgVA United States Magna Powertrain Inc. Advanced Engineering & e-Propulsion VaughanON Canada

ISBN: (纸本)9798350376067

This paper presents a highly integrated EV charger that offers multiple charging modes, including a three-phase input 11 kW on-board charger (OBC) and a 2.6 kW auxiliary power module (APM). The proposed multi-level, three-port topology achieves magnetic and topological integration simultaneously and accommodates the three-phase (3P) 480VAC, 800V DC bus using 650V GaN HEMTs. A mathematical model of the ZVS boundary of the proposed Stacked half bridge (SHB)- full-bridge (FB) converter is built. One hybrid modulation method is further proposed to achieve zero voltage switching (ZVS) for a wide power and voltage range. A liquid-cooled prototype is built to validate the proposed integration method and hybrid modulation. Experimental results verified the OBC and APM modes of the proposed topology and the effectiveness of the hybrid modulation in improving the light-load efficiency by achieving ZVS. © 2024 IEEE.

关键词： Gallium nitride

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First Characterization of Si, SiC and GaN Power Deivces at Deep Cryogenic Temperatures down to 0.1 K

First Characterization of Si, SiC and GaN Power Deivces at D...

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2024 IEEE International Electron Devices Meeting, IEDM 2024

作者： Yang, Xin Porter, Matthew Yang, Zineng Xi, Zichen Li, Qiang Shao, Linbo Zhang, Yuhao Virginia Tech BlacksburgVA United States Bradley Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA United States Virginia Tech BlacksburgVA United States

ISBN: (纸本)9798350365429

electrical energy conversion at deep cryogenic temperatures (TON) test. The key findings at TON free with RON being ~4.5 times lower than that at 295 K;3) differently, SiC MOSFET becomes non-Ohmic below ~60 K;the turn-on voltages (VON) of SiC MOSFET and Si IGBT both rise with decreased T, resulting in an elevated conduction loss. The high VON and the viability of current conduction in SiC and Si drift layers, despite carrier freeze-out, are explained by the shallow-level impact ionization with donor states. The many firsts reported in this work open the door for developing cryogenic power electronics at temperatures below the current boundaries. © 2024 IEEE.

关键词： Gallium nitride

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