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Ionization wave propagation and cathode sheath formation due to surface dielectric-barrier discharge sustained in pulsed mode

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Plasma Science and Technology 2023年第11期25卷 101-113页

作者： Konstantinos GIOTIS Panagiotis SVARNAS Eleftherios AMANATIDES Kristaq GAZELI Guillaume LOMBARDI Polykarpos K PAPADOPOULOS High Voltage Laboratory(Plasma Technology Room) Department of Electrical and Computer EngineeringUniversity of PatrasRion Patras 26504Greece Laboratoire des Sciences des Procédés et des Matériaux(LSPM—CNRS) UniversitéSorbonne Paris NordVilletaneuse F-93430France Plasma Technology Laboratory Department of Chemical EngineeringUniversity of PatrasRion Patras 26504Greece Department of Mechanical Engineering and Aeronautics University of PatrasRion Patras 26504Greece

This work deals with the experimental study of a surface dielectric-barrier discharge,as a part of the ongoing interest in the control of plasma induced electro-fluid dynamic effects(*** actuators).The discharge is generated using a plasma reactor consisting of a fused silica plate which is sandwiched between two printed circuit boards where the electrodes are *** reactor is driven by narrow high voltage square pulses of asymmetric rising(25 ns)and falling(2.5μs)parts,while the discharge evolution is considered in a temporarily and spatially resolved manner over these *** is,conventional electrical and optical emission analyzes are combined with high resolution optical emission spectroscopy and ns-resolved imaging,unveiling main characteristics of the discharge with a special focus on its propagation along the dielectric-barrier *** voltage rising part leads to cathode-directed ionization waves,which propagate with a speed up to 105m s~(-1).The voltage falling part leads to cathode sheath formation on the driven electrode.Τhe polarization of the dielectric barrier appears critical for the discharge dynamics.

关键词： atmospheric pressure plasma surface DBD streamer UV-NIR optical emission spectroscopy ICCD fast imaging(Some figures may appear in colour only in the online journal)

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Compact Series-Stacked Power Amplifier for High-Voltage Pulsed Applications

Compact Series-Stacked Power Amplifier for High-Voltage Puls...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Hou, Yuetao Ji, Qing Etta, Dheeraj Garud, Meera Schenkel, Thomas Lal, Amit Afridi, Khurram Cornell University Department of Electrical and Computer Engineering IthacaNY United States Lawrence Berkeley National Laboratory BerkeleyCA United States

ISBN: (纸本)9798350316445

Power amplifiers that generate high-voltage is needed in high-frequency applications. Limited by semiconductor voltage rating, conventional power amplifiers generate high voltage through matching network with high voltage-gain. However, inductors used for matching network limit the power density of the power amplifier. Moreover, high-voltage-gain matching network requires high circulating current and degrades the efficiency of the power amplifier. This paper presents a compact series-stacked power-amplifier for high-voltage pulsed application. The proposed power amplifier is composed of power amplifier modules, which are combined by a parallel-in series-out air-core transformer for high voltage generation. The architecture stacks up voltage by combining voltage in series which eliminates the need of using high-voltage-gain matching network. The air-core transformer is designed and integrated on board for high power density and ease of prototyping. Moreover, a design methodology is proposed to utilize the leakage of the on-board air-core transformer in matching networks, which eliminates the need of discrete inductors. Finally, A 24 MHz compact power amplifier is built based on the proposed architecture and design methodology which generates more than 6kV output voltage. © 2023 IEEE.

关键词： air-core transformer high voltage on-board Power amplifier pulsed power

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Optimal Access Point Centric Clustering for Cell-Free Massive MIMO Using Gaussian Mixture Model Clustering

IEEE Transactions on Machine Learning in Communications and ...

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IEEE Transactions on Machine Learning in Communications and Networking 2024年 2卷 675-687页

作者： Biswas, Pialy Mallik, Ranjan K. Letaief, Khaled B. Technische Universität Dresden Vodafone Chair Mobile Communications Systems Dresden01062 Germany Indian Institute of Technology Delhi Department of Electrical Engineering New Delhi Hauz Khas110016 India The Hong Kong University of Science and Technology Department of Electronic and Computer Engineering New Territories Hong Kong

This paper proposes a Gaussian mixture model (GMM) based access point (AP) clustering technique in cell-free massive MIMO (CFMM) communication systems. The APs are first clustered on the basis of large-scale fading coefficients, and the users are assigned to each cluster depending on the channel gain. As the number of clusters increases, there is a degradation in the overall data rate of the system, causing a trade-off between the cluster number and average rate per user. To address this problem, we present an optimization problem that optimizes both the upper bound on the average downlink rate per user and the number of clusters. The optimal number of clusters is intuitively determined by solving the optimization problem, and then grouping the APs and users. As a result, the computation expense is much lower than the current techniques, since the existing methods require evaluations of the network performance in multiple iterations to find the optimal number of clusters. In addition, we analyze the performance of both balanced and unbalanced clustering. Numerical results will indicate that the unbalanced clustering yields a superior rate per user while maintaining a lower level of complexity compared to the balanced one. Furthermore, we investigate the statistical analysis of the spectral efficiency (SE) per user in the clustered CFMM. The findings reveal that the SE per user can be approximated by the logistic distribution. © 2023 CCBY.

关键词： Fading channels

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Development of Day-Ahead Peer-to-Peer Energy Trading with Time-Series Clustering

Development of Day-Ahead Peer-to-Peer Energy Trading with Ti...

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2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023

作者： Noorfatima, Nadya Jung, Jaesung Onen, Ahmet Yoldas, Yeliz Ajou University Department of Energy Systems Research Suwon Korea Republic of Sultan Qaboos University Department of Electrical and Computer Engineering Muscat Oman Kayseri University Department of Software Engineering Kayseri Turkey

ISBN: (纸本)9798350301571

Day-ahead trading of electricity has been applied to ensure the balance between the amount of electricity sold and bought. Even so, due to the intermittent distributed energy resources (DERs), the actual condition can be varied significantly, and forecasting can be costly in order to provide high accuracy to minimize losses. Hence, this paper proposes a novel model-based day-ahead peer-to-peer (P2P) energy trading with regionalized trading prices, which are determined through time-series clustering. To improve the determination of price regions, the data parameter is derived from the day-ahead condition, which is forecasted from network condition, trading capacity, and trading price of the P2P energy trading. The performance of the proposed model of day-ahead P2P energy trading is evaluated with respect to the market operation stability and optimality. © 2023 IEEE.

关键词： day-ahead trading distributed optimization Peer-to-peer energy trading time-series clustering

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Networked Control of Distributed Energy systems in Dispatchable Microgrids: System Modeling and Stability Considerations 2

Networked Control of Distributed Energy Systems in Dispatcha...

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2nd International Conference on Sustainable Mobility Applications, Renewables and Technology, SMART 2022

作者： Dos Santos Alonso, Augusto Matheus Da Val, Joao Bosco Ribeiro Department of Electrical and Computer Engineering SP Sao Carlos Brazil Department of Systems and Energy SP Campinas Brazil

ISBN: (数字)9781665471466

ISBN: (纸本)9781665471466

Inverter-interfaced distributed energy systems have been spreading over low-voltage electric grids to achieve higher integration of renewable sources while offering adjustable controllability over power conversion. In addition, due to their remote control capabilities that support a networked system framework, such inverters play an essential role from the perspective of dispatchable microgrids. These are power systems of limited size incorporating information and communication technology infrastructures. By managing network-controlled inverters, it is possible to regulate the power dispatchability of microgrids, allowing them to flexibly exchange power with the upstream grid as needed flexibly. Nonetheless, the control modeling and stability concerns of inverters forming a networked system within such a perspective lack discussion in the literature. Hence, this paper proposes a generic system model for a dispatchable microgrid, considering that a central controller steers inverters under a networked control framework. Moreover, stability considerations are presented, highlighting the impact of communication delays on the microgrid operation and indicating that multiple aspects still need to be investigated in future research. © 2022 IEEE.

关键词： Networked control systems

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Artificial Intelligence Techniques with Digital Twin for Fault Diagnosis in Interconnected systems: A Review

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IEEE Access 2025年 13卷 91860-91874页

作者： Nakti, Imen Mansouri, Majdi Al-Hmouz, Rami Khedher, Atef University of Sousse ENISO Laboratory of Advanced Technology and Intelligent systems Sousse4002 Tunisia Sultan Qaboos University College of Engineering Department of Electrical and Computer Engineering Muscat123 Oman

As industrial systems become more complex and interconnected, diagnosing faults accurately and in real time has become increasingly challenging. This paper explores how combining artificial intelligence with digital twin technology can address these challenges. We focus on developing hybrid Artificial intelligence models that leverage diverse data sources to enhance fault detection and diagnosis, enabling secure and distributed diagnostics. Digital twins, virtual models of physical systems, are shown to enhance predictive maintenance and decision-making by providing real-time system insights. What sets our work apart is the way we integrate these technologies to create scalable, adaptive, and context-aware diagnostic solutions. We demonstrate the potential of this approach across applications such as smart grids, manufacturing, and autonomous systems. Our goal is to provide researchers and practitioners with a practical and forward-looking framework for developing intelligent, reliable fault diagnosis systems in today’s data-rich industrial environments. © 2013 IEEE.

关键词： Deep learning

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“Risky or Trustworthy?”: User Behavior towards Biometric Authentication Method

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Procedia computer Science 2024年 234卷 428-435页

作者： Ari Kusyanti Harin Puspa Ayu Catherina Popong Effendrik Nurudin Santoso Nurul Syamsi Ekowati Department of Computer Science Universitas Brawijaya Department of Information Systems Universitas Brawijaya Department of Electrical Engineering Politeknik Negeri Malang

Smartphones as a means of communication are not only used to send and receive messages and make phone calls. Today's smartphones are also intended to store personal data and sensitive information hence it is vulnerable to be illegally accessed by others. Fingerprint as a biometric lock screen for smartphones can be trusted to ensure the security and privacy of smartphone users. A fingerprint is closely related to a user's identity. When using fingerprints, users provide their personal biometric pattern, unknowingly giving their privacy and making them vulnerable to unauthorized use of their biometric pattern. This study is designed to reveal the factors that influence users when using fingerprints as a smartphone lock, using eight variables adapted from previous research. The data analysis used is Partial Least Squares (PLS) analysis. The results of this study suggest that trust, attitudes, and perceived risk are the factors that influence users when using their fingerprint as a smartphone lock.

关键词： Fingerprint Perceived Risk Trust PLS

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Maritime Path Planning Using Heuristic Evaluation Functions for Weather Parameters

Maritime Path Planning Using Heuristic Evaluation Functions ...

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2023 IEEE International Conference on systems, Man, and Cybernetics, SMC 2023

作者： Bienkowski, Adam Pattipati, Krishna R. Sidoti, David University of Connecticut Department of Electrical and Computer Engineering StorrsCT United States Us Naval Research Laboratory MontereyCA United States

ISBN: (纸本)9798350337020

Planning ship routes that take into account meteorological and oceanographic conditions is a salient problem for both commercial and Naval applications. The A∗ algorithm is a very common method for finding the minimum cost path in a graph. Finding appropriate heuristics for a cost function is critical to the computational efficiency and memory requirements of the A∗ algorithm. We propose heuristic evaluation functions (HEFs) based on the minimum, mean, median, and mode of the cost function values over the reachable nodes given time constraints. Only the HEF based on the minimum is admissible, but we show that the other heuristics are able to find near-optimal solutions in substantially shorter times than the Dijkstra's algorithm, which does not use a heuristic. We evaluate these heuristics over many scenarios and show that overall the HEF based on the mean value performs the best. This HEF can be used in time-critical applications where an occasional loss of optimality is sacrificed for faster run time, such as real-time planning and control, or as part of a multi-objective shortest path algorithm for planning and execution. © 2023 IEEE.

关键词： A∗ heuristics meteorology oceanography Shortest path planning with time windows weather

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Pager Explosion:Cybersecurity Insights and Afterthoughts

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IEEE/CAA Journal of Automatica Sinica 2024年第12期11卷 2359-2362页

作者： Chuan Sheng Wanlun Ma Qing-Long Han Wei Zhou Xiaogang Zhu Sheng Wen Yang Xiang Fei-Yue Wang Swinburne University of Technology Hawthorn VIC 3122Australia IEEE the School of Computer and Mathematical Sciences the University of AdelaideAdelaideSouth Australia 5005Australia the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 the Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

PAGER EXPLOSION:THE *** 2024 Lebanon pager explosions represent one of the most unexpected and devastating technological incidents in recent *** September 17 and 18,2024,thousands of pagers and walkie-talkies exploded simultaneously across Lebanon and parts of Syria,resulting in 42 deaths and more than 3500 *** handheld communication devices,previously regarded as secure and low-profile,were rigged with concealed explosives and remotely triggered by attackers.

关键词： injuries thoughts explosion

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Deep learning in medical image registration: magic or mirage? 24

Deep learning in medical image registration: magic or mirage...

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Proceedings of the 38th International Conference on Neural Information Processing systems

作者： Rohit Jena Deeksha Sethi Pratik Chaudhari James C. Gee Computer and Information Science and Penn Image Computing and Science Laboratory Computer and Information Science Computer and Information Science and Electrical and Systems Engineering Computer and Information Science and Radiology and Penn Image Computing and Science Laboratory

ISBN: (纸本)9798331314385

Classical optimization and learning-based methods are the two reigning paradigms in deformable image registration. While optimization-based methods boast generalizability across modalities and robust performance, learning-based methods promise peak performance, incorporating weak supervision and amortized optimization. However, the exact conditions for either paradigm to perform well over the other are shrouded and not explicitly outlined in the existing literature. In this paper, we make an explicit correspondence between the mutual information of the distribution of per-pixel intensity and labels, and the performance of classical registration methods. This strong correlation hints to the fact that architectural designs in learning-based methods is unlikely to affect this correlation, and therefore, the performance of learning-based methods. This hypothesis is thoroughly validated with state-of-the-art classical and learning-based methods. However, learning-based methods with weak supervision can perform high-fidelity intensity and label registration, which is not possible with classical methods. Next, we show that this high-fidelity feature learning does not translate to invariance to domain shift, and learning-based methods are sensitive to such changes in the data distribution. We reassess and recalibrate performance expectations from classical and DLIR methods under access to label supervision, training time, and its generalization capabilities under minor domain shifts.

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