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Turbulent drag reduction by sector-shaped counter-flow dielectric barrier discharge plasma actuator

Chinese Physics B 2025年第2期34卷 362-370页

作者： Borui Zheng Shaojie Qi Minghao Yu Jianbo Zhang Linwu Wang Dongliang Bian School of Automation and Information Engineering Xi’an University of TechnologyXi’an 710048China School of Mechanical and Precision Instrument Engineering Xi’an University of TechnologyXi’an 710048China Science and Technology on Plasma Dynamics Laboratory Air Force Engineering UniversityXi’an 710038China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an 710048China Shaanxi University Key Laboratory of Photonic Power Devices and Discharge Regulation Xi’an 710048China

The primary objective in aircraft transportation is to minimize turbulent drag, thereby conserving energy and reducing emissions. We propose a sector-shaped counter-flow dielectric barrier discharge plasma actuator, which leverages jet synthesis for drag reduction. A drag control experiment was conducted in a low-speed wind tunnel with a controlled flow velocity of 9.6 m/s(Re = 1.445 × 10^(4)). This study investigated the effects of varying pulse frequencies and actuation voltages on the turbulent boundary layer. Using a hot-wire measurement system, we analyzed the pulsating and time-averaged velocity distributions within the boundary layer to evaluate the streamwise turbulent drag reduction. The results show that the local TDR decreases as the pulse frequency increases, reaching a maximum reduction of approximately 20.97% at a pulse frequency of 50 Hz. In addition, as the actuation voltage increases, the friction coefficient decreases, increasing the drag reduction rate. The maximum drag reduction of approximately 33.34% is achieved at an actuation voltage of 10 kV.

关键词： plasma flow control turbulent boundary layer turbulent drag reduction

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Extraction of Complex Sentence Relationships Based on Formalized Chinese Clause Structures 7

Extraction of Complex Sentence Relationships Based on Formal...

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7th International Conference on Machine Learning and Natural Language Processing, MLNLP 2024

作者： Hao, Wen School of Information and Control Engineering Xi'an University of Architecture Technology Xi'an710055 China

ISBN: (纸本)9798350354973

In the field of relation extraction (RE) from text, English clause structures have recently emerged as a promising method with significant practical value. However, applying this approach to Chinese clauses presents challenges due to the absence of formal structural representation. Our research shows that Chinese clauses follow a conditional probability function of the core relation P, which can be expressed as C = (S|P, O|P, SO|P), demonstrating a formal structural characteristic of discrete complementary synthesis. Notably, the O|P structure, with a high conditional probability, accounts for 79% of cases, serving as the core of complex sentence relations in Chinese. This sharply contrasts with the structural features of English clauses. Building on this, we propose the Discrete Complementary Synthesis Formal Structure (DCSFS) clause unit model. This model is employed to analyze and verify the role of the clause unit as the fundamental encoding element in Chinese sentences. Accordingly, we develop a method for automatically extracting semantic relations from complex Chinese sentences using this formalized clause unit model. Experimental results show that our approach outperforms existing punctuation-based clause determination methods and effectively addresses the challenges of extracting complex sentence relations from Chinese texts. © 2024 IEEE.

关键词： Semantics

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Low-Light Image Enhancement Network Based on Hierarchical Residual and Attention Mechanism 43

Low-Light Image Enhancement Network Based on Hierarchical Re...

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43rd Chinese control Conference, CCC 2024

作者： Xu, Shengjun Nan, Chi Yang, Hua Xi'an University of Architecture and Technology School of Information and Control Engineering Shanxi 710055 China

ISBN: (纸本)9789887581581

In order to solve the problems of noise artifacts, texture blurring and color imbalance of existing low-light image enhancement methods, a low-light image enhancement network based on hierarchical residual and attention mechanism (HRAMNet) is proposed. Firstly, a hierarchical residual module (HRM) is designed as a feature extractor, which expands the network receptive field using hierarchical residual connections and extracts irregular features using asymmetric convolutional groups in its branches to improve shallow feature extraction. Secondly, rich multi-scale local features are captured by attention-based residual dense block (ARDB), and a dual soft-threshold channel attention module (DSCA) is utilized to suppress noise interference. Finally, the multi-feature fusion module (MFFM) is proposed to facilitate the fusion of deep and shallow global features, and the channel pixel attention block (CPA) is utilized to recover the color and texture details of the feature map. The experimental results show that the PSNR of the proposed network reaches 22.7973 dB and SSIM reaches 0.8748 on the LOL dataset, and 21.7538 dB and 0.8536 on the MIT-Adobe FiveK dataset, which effectively improves the quality of the visualization of the low-light image after enhancement. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Image enhancement

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A SOC Estimation Method for Lithium-ion Batteries Based on Optuna optimized Long Short-Term Memory Neural Network 4

A SOC Estimation Method for Lithium-ion Batteries Based on O...

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4th International Conference on Electronic information engineering and Computer Communication, EIECC 2024

作者： Li, Hao China University of Mining and Technology School of Information and Control Engineering Jiangsu Xuzhou China

ISBN: (纸本)9798331534622

Estimating a battery's state of charge (SOC) accurately is essential for determining an electric vehicle's safety and remaining range. In this paper, a battery SOC (state of charge) estimation method based on Optuna optimised LSTM is proposed. In response to the problem of low efficiency and difficulty in achieving global optimization through manual parameter tuning in traditional methods, this paper applies the Optuna automated hyperparameter tuning framework and combines it with a random search algorithm to optimize key hyperparameters in the LSTM model. The research results indicate that the optimal setting (Look back: 43, Epoch: 175, Batch size: 65, Learning rate: 0.0029) achieved the best estimation accuracy. Finally, the performance of the model was validated on two different lithiumion battery datasets. The experimental results showed that the LSTM model based on Optuna optimization exhibited good generalization ability and high accuracy under different temperature and dynamic load conditions, significantly improving the reliability and accuracy of SOC estimation. © 2024 IEEE.

关键词： State of charge

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Design and implementation of an electromagnetic tracing intelligent vehicle based on STC32 3

Design and implementation of an electromagnetic tracing inte...

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3rd International Conference on Algorithms, Microchips, and Network Applications, AMNA 2024

作者： Zhang, Zhaocheng Shen, Mo Guo, Hongtao School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China

ISBN: (纸本)9781510680098

This article takes the National College Student Smart Car Competition as the background and designs and produces an electromagnetic tracking car based on the STC32 chip. On the basis of not violating the competition rules, in order to improve the running stability and speed of the car, the hardware uses a DRV8701E driver board to drive the motor and a four-inductor arrangement to collect the inductance signal;the tracking algorithm uses a ratio algorithm and Fuzzy PID handles electromagnetic values. The experimental results show that the car has good tracking effect and strong anti-interference ability, and can successfully complete various requirements in smart car competitions. © 2024 SPIE.

关键词： Microcontrollers

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Neuroadaptive Fault-Tolerant control for Uncertain Nonlinear Systems with New Time-Varying Constraints on States 7

Neuroadaptive Fault-Tolerant Control for Uncertain Nonlinear...

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7th International Symposium on Autonomous Systems, ISAS 2024

作者： Zhou, Shuyan Liu, Junjie Wang, Xuesong China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China

ISBN: (纸本)9798350363173

In this article, a neuroadaptive fault-tolerant control scheme is proposed for a class of nonlinear systems with actuator failures, full state constraints and unknown time-varying disturbances. Besides the constraint boundary is different from the common research which is connected with time, partial states and desired trajectory. Additionally, we employ neural networks to approximate the unknown nonlinear functions, and the problem of "explosion of complexity"is avoided by utilizing the dynamic surface control technique during the design process of conventional backstepping control. The control scheme can guarantee the ultimate bounded stable tracking and the full state constraints are not violated. Both the theoretical analysis and numerical simulation are presented to demonstrate the feasibility and effectiveness of the proposed method. © 2024 IEEE.

关键词： Numerical methods

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SEMANTIC PRESERVATION AND STYLISTIC DECOUPLING IN TEXTUAL STYLE MIGRATION

SEMANTIC PRESERVATION AND STYLISTIC DECOUPLING IN TEXTUAL ST...

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2024 International Conference on Electrical engineering and Intelligent control, EEIC 2024

作者： Chen, Hengzhen Department of Information and Control Engineering Shenyang Institute of Science and Technology Shenyang110167 China

ISBN: (纸本)9781837242672

With the continuous progress of text style transfer technology, its importance in natural language processing is becoming more and more prominent, especially in machine translation, literary creation and other fields with a wide range of applications. This study builds on the work of Tikhonov et al. and provides insights into the problems with their proposed method for assessing textual style migration. Through experiments, this study validates Tikhonov's model architecture and further explores the applicability and limitations of the assessment criteria. The study uses a model that combines an autoencoder (AE) architecture with a Gated Recurrent Unit Recurrent Neural Network (GRU RNN) generator and optimizes the performance by introducing a dedicated discriminator and a shifted autoencoder (SAE). The experimental results demonstrate significant improvements in semantic retention and style migration accuracy thanks to the refined model. However, this study also found that Bilingual Evaluation Understudy (BLEU) scores have limitations in assessing style migration tasks and may not fully reflect the semantic accuracy and fluency of the migrated text. Therefore, this study proposes a reflection on the existing evaluation metrics and suggests exploring a comprehensive evaluation system that is more applicable to style migration tasks. In addition, this study discusses the model's ability to generalize over different styles and domains of data, highlighting the need for further validation and optimization. This study provides valuable insights into the field of textual style migration by validating state-of-the-art models while providing insights into their limitations. © The Institution of engineering & technology 2024.

关键词： Recurrent neural networks

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A Voltage Sag Source Localization Method Combining VMD and XGBoost 9

A Voltage Sag Source Localization Method Combining VMD and X...

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9th Asia Conference on Power and Electrical engineering, ACPEE 2024

作者： Jinli, Fan Yaping, Deng Hao, Jia Xiangqian, Tong Xi'An University of Technology Department of Power Grid Information and Control Engineering Shaanxi China

ISBN: (纸本)9798350309638

With the widespread access of various new energy power generation equipment and power electronic interface equipment, voltage sag seriously affects the normal work of all kinds of equipment in the distribution network, and causes huge economic losses to the power network. The accurate positioning of voltage sag sources has an important impact on the stable, reliable, and economical operation of the power system. In terms of voltage sag source localization, in order to overcome the defects of using signal processing methods or neural network methods alone, we combine VMD and XGBoost fusion method to determine the specific line number where voltage sag occurs. The powerful of this method was tested through IEEE 33 model simulation, and compared with GRU, LSTM, LSTM+GRU and Lightgbm networks, indicating that this method has high testing accuracy and profound guiding significance for future power system adjustments. © 2024 IEEE.

关键词： Signal processing

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A Multi-Task Optimization-based Heterogeneous Expensive Multi-Objective Evolutionary Algorithm 3

A Multi-Task Optimization-based Heterogeneous Expensive Mult...

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3rd International Conference on Artificial Intelligence, Internet of Things and Cloud Computing technology, AIoTC 2024

作者： He, Chunlin Zhang, Yong School of Information and Control Engineering China University of Mining and Technology Xu Zhou China

ISBN: (纸本)9798331530280

Multi-objective optimization problems with different evaluation costs for performance metrics or objective values are commonly seen in the real world. Such problems are known as heterogeneous expensive multi-objective optimization problems (HE-MOPs). Although there are some researches available, the heterogeneity among objectives can cause search bias, which affects the performance of these methods on HEMOPs. To address this, we propose a Multi-Task Optimizationbased Heterogeneous Expensive Multi-Objective Evolutionary Algorithm (MT-HEMOEA). This algorithm firstly uses a multilayer sampling method based on objective evaluation costs to obtain a uniformly distributed sample set on objectives space. Then we employ multi-task exploitation strategy focused on convergence and multi-task exploration strategy focused on diversity to reduce search bias and improve sample diversity. Experimental results on WFG test problems show that the proposed algorithm achieves higher-quality optimal solution sets compared to four existing heterogeneous multi-objective optimization algorithms. © 2024 IEEE.

关键词： Optimization algorithms

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Chemically bonded multi-nanolayer inorganic aerogel with a record-low thermal conductivity in a vacuum

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National Science Review 2023年第10期10卷 96-105页

作者： Hongxuan Yu Menglin Li Yuanpeng Deng Shubin Fu Jingran Guo Han Zhao Jianing Zhang Shixuan Dang Pengyu Zhang Jian Zhou Dizhou Liu Duola Wang Chuanwei Zhang Menglong Hao Xiang Xu Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology and Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and EnvironmentSoutheast University Key Lab of Aerospace Bearing Technology and Equipment of the Ministry of Industry and Information Technology Harbin Institute of Technology

Inorganic aerogels have exhibited many superior characteristics with extensive applications,but are still plagued by a nearly century-old tradeoff between their mechanical and thermal *** reducing thermal conductivity by ultralow density,inorganic aerogels generally suffer from large fragility due to their brittle nature or weak joint crosslinking,while enhancing the mechanical robustness by material design and structural engineering,they easily sacrifice thermal insulation and ***,we report a chemically bonded multi-nanolayer design and synthesis of a graphene/amorphous boron nitride aerogel to address this typical tradeoff to further enhance mechanical and thermal *** to the chemically bonded interface and coupled toughening effect,our aerogels display a low density of 0.8 mg cm-3with ultrahigh flexibility（elastic compressive strain up to 99% and bending strain up to 90%）,and exceptional thermostability（strength degradation <3% after sharp thermal shocks）,as well as the lowest thermal conductivities in a vacuum(only 1.57 mW m-1K-1at room temperature and 10.39 mW m-1K-1at500℃) among solid materials to *** unique combination of mechanical and thermal properties offers an attractive material system for thermal superinsulation at extreme conditions.

关键词： inorganic aerogels multi-nanolayer mechanical-thermal tradeoff flexibility thermal superinsulation

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