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Improvement of atmospheric jet-array plasma uniformity assisted by artificial neural networks

Plasma science and technology 2023年第2期25卷 105-118页

作者：郑树磊聂秋月黄韬侯春风王晓钢 School of Physics Harbin Institute of TechnologyHarbin 150001People's Republic of China School of Electrical Engineering and Automation Harbin Institute of TechnologyHarbin 150001People's Republic of China

Atmospheric pressure plasma jet(APPJ)arrays have shown a potential in a wide range of applications ranging from material processing to *** these applications,targets with complex three-dimensional structures often easily affect plasma ***,the uniformity is usually crucially important in application areas such as biomedicine,*** this work,the flow and electric field collaborative modulations are used to improve the uniformity of the plasma *** a two-dimensional sloped metallic substrate with a 10°inclined angle as an example,the influences of both flow and electric field on the electron and typical active species distributions downstream are studied based on a multi-field coupling *** electric and flow fields modulations are first separately applied to test the *** show that the electric field modulation has an obvious improvement on the uniformity of plasma while the flow field modulation effect is *** on such outputs,a collaborative modulation of both fields is then applied,and shows a much better effect on the *** make further advances,a basic strategy of uniformity improvement is thus *** achieve the goal,an artificial neural network method with reasonable accuracy is then used to predict the correlation between plasma processing parameters and downstream uniformity properties for further improvement of the plasma *** optional scheme taking advantage of the flexibility of APPJ arrays is then developed for practical demands.

关键词： atmospheric pressure plasma jet-array multi-field coupling and modulation artificial neural network(ANN)

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Design of Attention Prediction System Based on EEG Signal Analysis 13

Design of Attention Prediction System Based on EEG Signal An...

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13th International Conference on Control, automation and Information sciences, ICCAIS 2024

作者： Sun, Chenyang Yang, Zhicheng Yang, Lujia Wang, Wei Wang, Xiepei Lu, Mingli School of Electrical and Automation Engineering Changshu Institute of Technology Suzhou China School of Engineering in Electrical Engineering and Automation Southwest Jiaotong University Chengdu China School of Electronic and Information Engineering Suzhou University of Science and Technology Suzhou China

ISBN: (纸本)9798331542047

Electroencephalogram (EEG) signals are crucial in understanding brain activity, particularly in assessing attention levels, and are vital for various cognitive functions and daily activities. This study presents the design of an attention-level prediction system utilizing EEG signal analysis, employing Long Short-Term Memory (LSTM) networks enhanced by Particle Swarm Optimization (PSO). The system collects EEG data through non-invasive single-channel devices and processes these signals to predict attention levels using an LSTM model. To address the challenge of optimal parameter selection in LSTM, the PSO algorithm is integrated, significantly improving prediction accuracy. Experimental results demonstrate that the PSO_LSTM model outperforms traditional LSTM networks in terms of accuracy, convergence speed, and robustness. The proposed system not only enhances the predictive performance of attention levels but also provides a scalable approach for real-time applications in fields such as education, healthcare, and human-computer interaction. This study highlights the potential of combining EEG signal analysis with advanced machine learning techniques for more effective attention monitoring. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Numerical studies of the voltage amplitude effect on plasma characteristics in atmospheric pressure driven by dual LF-RF frequency discharge

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Plasma science and technology 2025年第3期27卷 45-54页

作者： Yilin YU Zhibo ZHAO Qiuyue NIE Shu CHEN Zhonglin ZHANG School of Electrical Engineering and Automation Harbin Institute of TechnologyHarbin 150001People’s Republic of China Laboratory for Space Environment and Physical Sciences Harbin Institute of TechnologyHarbin 150001People’s Republic of China Institute of Scientific and Technical Information Beijing Academy of Science and TechnologyBeijing 100044People’s Republic of China

Dielectric barrier discharges(DBDs)are primarily utilized as efficient sources of large-volume diffuse ***,the synergistic interaction of certain key plasma factors limits their broader *** the present paper,we report numerical investigations of the effects of voltage amplitude in dual-frequency excitation on atmospheric DBDs using a 50 kHz/5 MHz frequency *** results indicate that varying the voltages for low frequency(LF)and radio frequency(RF)significantly influences the electron dynamics during discharge,resulting in distinct spatio-temporal distributions of electron and metastable particle *** findings contribute to the regulation of discharges under atmospheric pressure conditions and facilitate the attainment of non-equilibrium and nonlinear plasma parameters.

关键词： dielectric barrier discharge atmospheric pressure plasma electron dynamics behavior

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Study on plasma expansion model of primary discharge on spacecraft solar array

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Plasma science and technology 2024年第11期26卷 87-95页

作者： Dejie WEI Jianwen WU Liying ZHU School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191People’s Republic of China Institute of Spacecraft System Engineering CAST Beijing 100094People’s Republic of China

In the space plasma environment, primary discharge may occur on the solar array and evolve into a destructive sustained arc, which threatens the safe operation of the spacecraft. Based on the plasma expansion fluid theory, a new multicomponent plasma expansion model is proposed in this study, which takes into account the effects of ion species, ion number, initial discharge current, and Low Earth Orbit(LEO) plasma environment. The expansion simulation of single-component and multicomponent ions is carried out respectively, and the variations of plasma number density, expansion distance, and speed during the expansion process are *** with the experimental results, the evolution of propagation distance and speed is closed and the error is within a reasonable range, which verifies the validity and rationality of the model. The propagation characteristics of the primary discharge on the solar array surface and the influence of the initial value on the maximum propagation distance and the propagation current peaks are investigated. This study can provide important theoretical support for the propagation and evolution of the primary discharge and the key behavior of the transition to secondary discharge on spacecraft solar array.

关键词： primary discharge plasma expansion propagation characteristics spacecraft solar array

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Adaptive Neural Network Control for Switched Stochastic Pure-Feedback Nonlinear Systems with Incomplete Measurements

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IAENG International Journal of Applied Mathematics 2025年第5期55卷 1014-1027页

作者： Li, Zhongfeng Wang, Lidong Lv, Hongwei Wang, Zhongyi School of Electrical Engineering Yingkou Institute of Technology Yingkou115100 China School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan114051 China

This study explores an adaptive neural network-based output-feedback tracking control strategy for switched stochastic pure-feedback nonlinear systems with incomplete state measurements. To address challenges posed by packet loss or transmission saturation, which may distort or obstruct access to state variables, a state estimator is introduced to approximate the unmeasured states. The proposed method employs neural networks to approximate unknown nonlinearities, while dynamic surface control (DSC) is utilized to mitigate complexity explosion, a common issue in traditional backstepping control design. The results demonstrate that the control approach guarantees that all signals within the closed-loop system remain semiglobally uniformly ultimately bounded (UUB) with a certain probability. Furthermore, it is shown that the system output will asymptotically approach a small neighborhood around the desired reference signal in terms of its mean quartic value. Simulation results are provided to validate the efficacy of the proposed control method. © (2025), (International Association of Engineers). All rights reserved.

关键词： Nonlinear feedback

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Route Planning-Based Active Equalization of Reconfigurable Battery Packs in Electric Vehicles

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年第10期9卷 1-14页

作者： Tian, Jiaqiang Zhang, Qingping Liu, Xinghua Fan, Yuan Wang, Yujie Pan, Tianhong School of Electrical Engineering and Automation Anhui University Hefei Anhui China Power Research Institute of State Grid Ningxia Electric Power Co. L Yinchuan Ningxia China School of Electrical Engineering Xi'an University of Technology Xi'an China Department of Automation University of Science and Technology of China Hefei China

Inconsistency is an inevitable issue in the battery packs of electric vehicles, which can lead to reduced system performance and increased security risks. Equalization is an effective measure to improve pack consistency. However, the passive equalization has the disadvantage of wasting energy. To address this issue, this work proposes an active equalization scheme for battery packs based on dynamic route planning. Specifically, an active equalization topology is proposed based on flexible reconfiguration, which allows for the connection of any cells in series and avoids the access of faulty cells. The equalization topology is abstracted into a directed graph, reducing the complexity of circuit analysis. A strategy based on the Dijkstra algorithm is developed to search for the longest and shortest energy paths to guide battery equalization control. The hardware-in-the-loop experiment is conducted to verify the effectiveness of the proposed equalization scheme. Compared to C2C switched capacitor, C2C double tuned capacitor, and C2C star structure schemes, the proposed scheme with 6 cells reduces by approximately 72.88%, 48.61%, and 54.61% in the voltage standard deviation, respectively. In terms of voltage range, the proposed scheme reduces by approximately 61.02%, 31.14%, and 51.32% compared to C2C switched capacitor, C2C double tuned capacitor, and C2C star structure schemes. When considering a switch loss factor of 0.9 to 0.1, the energy loss decreases by about 0.33%. IEEE

关键词： Charging (batteries)

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Ontology-Based Semantic Reasoning for Multi-Source Heterogeneous Industrial Devices Using OPC UA

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IEEE Internet of Things Journal 2025年第13期12卷 25020-25032页

作者： Bi, Jing Wu, Rina Yuan, Haitao Wang, Ziqi Zhang, Jia Zhou, MengChu Beijing University of Technology College of Computer Science Beijing100124 China Beihang University School of Automation Science and Electrical Engineering Beijing China Southern Methodist University Department of Computer Science Lyle School of Engineering DallasTX75205 United States New Jersey Institute of Technology Department of Electrical and Computer Engineering NewarkNJ07102 United States

The advent of smart manufacturing in Industry 4.0 signifies the era of connections. As a communication protocol, Object linking and embedding for Process Control Unified Architecture (OPC UA) can address most semantic heterogeneity issues. However, its semantics are not formally defined at the application layer. To address the information silo problem caused by semantic heterogeneity, an integration framework named Querying of Ontology Mapping-based OPC UA (QOMOU) is proposed. QOMOU extracts information models of OPC UA servers into resource description framework triples and utilizes web ontology language for semantic enrichment and inference. Then, an Event Class Semantic Similarity Calculation (ECSSC) method is proposed for device type identification, enabling the classification of semantically heterogeneous OPC UA devices. The effectiveness of ECSSC is validated through queries with the RDF query language (SPARQL) protocol in Apache Jena. Experimental results demonstrate that ECSSC improves the accuracy of device identification by approximately 7% compared to benchmark device identification models. Specifically, compared with graph embedding-based methods, QOMOU’s query performance is approximately 13% higher, and its query efficiency is 5% higher on average compared to both structured query and extensible markup languages. Moreover, by employing a keyword-matching algorithm, the query accuracy of the existing heterogeneous data integration scheme is improved by 4% on average. This enhancement can boost the operational efficiency of Internet of Things systems based on the OPC UA architecture. © 2014 IEEE.

关键词： Structured Query Language

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An Optimal Pricing and Ordering Policy with Trapezoidal-Type Demand Under Partial Backlogged Shortages

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Tsinghua science and technology 2024年第6期29卷 1709-1727页

作者： Chunming Xu Mingfei Bai Chenchen Wu Qiyue Wang Yiwei Wang Institute of Operations Research and Systems Engineering College of ScienceTianjin University of TechnologyTianjin 300384China School of Electrical and Electronic Engineering TianjinUniversity of TechnologyTianjin 300384China

Based on the retail inventory operation of Heilan Home,this study incorporates the price factor into inventory environment involving trapezoidal time-varying products.A joint pricing and ordering issue with deteriorating items under partial backlogged shortages is firstly explored in a fixed selling *** corresponding optimization model aiming at maximizing profit performance of inventory system is developed,the theoretical analysis of solving the model is further provided,and the modelling frame generalizes some inventory models in the existing ***,a solving algorithm for the model is designed to determine the optimal price,initial ordering quantity,shortage time point,and the maximum inventory ***,numerical examples are presented to illustrate the model,and the results show the robustness of the proposed model.

关键词： inventory trapezoidal-type demand pricing deteriorating items partial backlogged shortages

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On Designs of Decentralized Reputation Management for Permissioned Blockchain Networks

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Computer Modeling in engineering & sciences 2024年第5期139卷 1755-1773页

作者： Jinyu Chen Long Shi Qisheng Huang Taotao Wang Daojing He School of Electronic and Optical Engineering Nanjing University of Science and TechnologyNanjing210094China School of Mechanical Engineering and Automation Harbin Institute of TechnologyShenzhen518055China College of Electronics and Information Engineering Shenzhen UniversityShenzhen518060China School of Computer Science and Technology Harbin Institute of TechnologyShenzhen518055China

In permissioned blockchain networks,the Proof of Authority(PoA)consensus,which uses the election of authorized nodes to validate transactions and blocks,has beenwidely advocated thanks to its high transaction throughput and fault ***,PoA suffers from the drawback of centralization dominated by a limited number of authorized nodes and the lack of anonymity due to the round-robin block proposal *** a result,traditional PoA is vulnerable to a single point of failure that compromises the security of the blockchain *** address these issues,we propose a novel decentralized reputation management mechanism for permissioned blockchain networks to enhance security,promote liveness,and mitigate centralization while retaining the same throughput as traditional *** paper aims to design an off-chain reputation evaluation and an on-chain reputation-aided ***,we evaluate the nodes’reputation in the context of the blockchain networks and make the reputation globally verifiable through smart ***,building upon traditional PoA,we propose a reputation-aided PoA(rPoA)consensus to enhance securitywithout sacrificing *** particular,rPoA can incentivize nodes to autonomously form committees based on reputation authority,which prevents block generation from being tracked through the randomness of reputation ***,we develop a reputation-aided fork-choice rule for rPoA to promote the network’s ***,experimental results show that the proposed rPoA achieves higher security performance while retaining transaction throughput compared to traditional PoA.

关键词： Blockchain reputation management PoA throughput security decentralization

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Experimental investigation on high heat flux plasma parameters of HIT-PSI device in argon discharges

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Plasma science and technology 2025年第1期27卷 118-127页

作者： Tao HUANG Qiuyue NIE Cheng CHEN Lin NIE Wei ZHAO Tao JIANG Yang LIU Xu ZHAO Feng LI Xiaogang WANG School of Physics Harbin Institute of TechnologyHarbin 150001People’s Republic of China School of Electrical Engineering and Automation Harbin Institute of TechnologyHarbin 150001People’s Republic of China Laboratory for Space Environment and Physical Science Harbin Institute of TechnologyHarbin 150001People’s Republic of China Southwestern Institute of Physics Chengdu 610041People’s Republic of China

Researches on plasma-facing materials/components(PFMs/PFCs)have become a focus in magnetic confinement fusion studies,particularly for advanced tokamak operation ***,spacecraft surface materials must maintain stable performance under relatively high temperatures and other harsh plasma conditions,making studies of their thermal and ablation resistance ***,a low-cost,low-energy-storage for superconducting magnets,and compact linear device,HIT-PSI,has been designed and constructed at Harbin institute of technology(HIT)to investigate the interaction between stable high heat flux plasma and PFMs/PFCs in scrape-off-layer(SOL)and divertor regions,as well as spacecraft surface *** parameters of the argon plasma beam of HIT-PSI are diagnosed using a water-cooled planar Langmuir probe and emission *** magnetic field rises to 2 T,the argon plasma beam generated by a cascaded arc source achieves high density exceeding 1.2×10^(21)m^(-3)at a distance of 25 cm from the source with electron temperature surpassing 4 eV,where the particle flux reaches 10^(24)m^(-2)s^(-1),and the heat flux loaded on the graphite target measured by infrared camera reaches 4 MW/m^(2).Combined with probe and emission spectroscopy data,the transport characteristics of the argon plasma beam are analyzed.

关键词： linear plasma device plasma-material interaction high heat flux high particle flux

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