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Nonlinear free vibration of piezoelectric semiconductor doubly-curved shells based on nonlinear drift-diffusion model

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Applied Mathematics and Mechanics(English Edition) 2023年第10期44卷 1761-1776页

作者： Changsong ZHU Xueqian FANG Jinxi LIU State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuang 050043China Key Laboratory of Mechanical Behavior Evolution and Control of Traffic Engineering Structures in Hebei Shijiazhuang 050043China School of Environment and Civil Engineering Dongguan University of TechnologyDongguan 523808Guangdong ProvinceChina

In this paper, the nonlinear free vibration behaviors of the piezoelectric semiconductor(PS) doubly-curved shell resting on the Pasternak foundation are studied within the framework of the nonlinear drift-diffusion(NLDD) model and the first-order shear deformation theory. The nonlinear constitutive relations are presented, and the strain energy, kinetic energy, and virtual work of the PS doubly-curved shell are *** on Hamilton's principle as well as the condition of charge continuity, the nonlinear governing equations are achieved, and then these equations are solved by means of an efficient iteration method. Several numerical examples are given to show the effect of the nonlinear drift current, elastic foundation parameters as well as geometric parameters on the nonlinear vibration frequency, and the damping characteristic of the PS doublycurved shell. The main innovations of the manuscript are that the difference between the linearized drift-diffusion(LDD) model and the NLDD model is revealed, and an effective method is proposed to select a proper initial electron concentration for the LDD model.

关键词： nonlinear free vibration piezoelectric semiconductor(PS)doubly-curved shell nonlinear drift-diffusion(NLDD)model linearized drift-diffusion(LDD)model

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Effects of quantum noise on teleportation of arbitrary two-qubit state via five-particle Brown state

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Chinese Physics B 2024年第8期33卷 204-211页

作者：汪澳魏玉震姜敏李泳成陈虹黄旭 School of Electronics&Information Engineering Soochow UniversitySuzhou 215006China Key Laboratory of System Control and Information Processing Ministry of EducationShanghai 200240China School of Information Engineering Huzhou UniversityHuzhou 313000China

We propose a new protocol for quantum teleportation(QT)which adopts the Brown state as the quantum *** work focuses on the teleportation of a single unknown two-qubit state via a Brown state channel in an ideal *** validate the effectiveness of our proposed scheme,we conduct experiments by using the quantum circuit simulator ***,we investigate the effects of four noisy channels,namely,the phase damping noise,the bit-flip noise,the amplitude damping noise,and the phase-flip ***,we employ Monte Carlo simulation to elucidate the fidelity density under various noise *** analysis demonstrates that the fidelity of the protocol in a noisy environment is influenced significantly by the amplitude of the initial state and the noise factor.

关键词： quantum communication Brown state fidelity

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Effect of applied electric fields on supralinear dendritic integration of interneuron

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Chinese Physics B 2024年第2期33卷 84-95页

作者：樊亚琴魏熙乐卢梅丽伊国胜 Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information EngineeringTianjin UniversityTianjin 300072China School of Information Technology Engineering Tianjin University of Technology and EducationTianjin 300222China

Evidences show that electric fields(EFs)induced by the magnetic stimulation could modulates brain activities by regulating the excitability of GABAergic ***,it is still unclear how and why the EF-induced polarization affects the interneuron response as the interneuron receives NMDA synaptic *** the key role of NMDA receptor-mediated supralinear dendritic integration in neuronal computations,we suppose that the applied EFs could functionally modulate interneurons’response via regulating dendritic *** first,we build a simplified multi-dendritic circuit model with inhomogeneous extracellular potentials,which characterizes the relationship among EF-induced spatial polarizations,dendritic integration,and somatic *** performing model-based singular perturbation analysis,it is found that the equilibrium point of fast subsystem can be used to asymptotically depict the subthreshold input–output(sI/O)relationship of dendritic *** predicted that EF-induced strong depolarizations on the distal dendrites reduce the dendritic saturation output by reducing driving force of synaptic input,and it shifts the steep change of sI/O curve left by reducing stimulation threshold of triggering NMDA ***,the EF modulation prefers the global dendritic integration with asymmetric scatter distribution of NMDA ***,we identify the respective contribution of EF-regulated dendritic integration and EF-induced somatic polarization to an action potential generation and find that they have an antagonistic effect on AP generation due to the varied NMDA spike threshold under EF stimulation.

关键词： GABAergic interneuron electrical field supralinear dendritic integration action potential generation

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An Unconfined Monocular Stereo-PIV Measurement Method for Gas-Liquid Pipe Flow

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IEEE Sensors Journal 2025年第11期25卷 20104-20112页

作者： Wang, Haixia Xue, Ting Tianjin University Tianjin Key Laboratory of Process Measurement and Control College of Electrical and Information Engineering Tianjin300072 China

Stereo-particle image velocimetry (PIV) encounters intricate challenges in flow measurement, especially accurate target localization and synchronized control of dual cameras. To overcome these obstacles, a comprehensive study delves into gas-liquid two-phase flow utilizing a monocular Stereo-PIV system. To reduce the need for high-precision target localization, a method is proposed that integrates particle features for corner extraction and spatial consistency for precise matching by pyramid up-down sampling. The approach effectively mitigates scale variance-induced mismatches and facilitates accurate spatial plane reconstruction. Validation is conducted utilizing particle simulation to assess the accuracy of feature extraction and matching and their impact on spatial plane reconstruction. Furthermore, optical distortion calibration results derived from gas-liquid two-phase flow are compared with experimental data to investigate the accuracy of real plane reconstruction. The accuracy of 3-D velocities is evaluated across planes with various errors. Finally, 3-D velocity profiles are characterized within slug flow structures, thereby offering insights into velocity variation characteristics. © 2025 IEEE.

关键词： Stereo image processing

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Parallel Seeds:From Foundation Models to Foundation Intelligence for Agricultural Sustainability

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IEEE/CAA Journal of Automatica Sinica 2025年第3期12卷 481-484页

作者： Laiyi Fu Shunkang Ling Danyang Wu Mengzhen Kang Fei-Yue Wang Hequan Sun the Shool of Automation Science and Engineering Faculty of Electronic and Information Engineering Xi'an Jiaotong University the College of Information Engineering Northwest A&F University IEEE the State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences

THE development of agriculture faces significant challenges due to population growth, climate change, land depletion, and environmental pollution, threatening global food security [1]. This necessitates the development of sustainable agriculture, where a fundamental step is crop breeding to improve agronomic or economic traits, e.g., increasing yields of crops while decreasing resource usage and minimizing pollution to the environment [2].

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Vibration Signal-Based Fault Diagnosis of Railway Point Machines via Double-Scale CNN

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Chinese Journal of Electronics 2023年第5期32卷 972-981页

作者： CHEN Xiaohan HU Xiaoxi WEN Tao CAO Yuan The School of Electronic and Information Engineering Beijing Jiaotong University The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University The National Engineering Research Center of Rail Transportation Operation Control System Beijing Jiaotong University

In the railway transportation industry,fault diagnosis of railway point machines(RPMs) is *** operational vibration signals can reflect the condition of various faults in mechanical devices, vibration sensing and monitoring and more importantly, vibration signal-based fault diagnosis for RPMs have attracted the attention of scholars and engineers. Most vibration signalbased fault-diagnosis methods for RPMs rely on data collected using high-sampling-rate sensors and manual feature extraction, hence are costly and insufficiently *** overcome these shortcomings, we propose a doublescale wide first-layer kernel convolutional neural network(DS-WCNN) for RPMs fault diagnosis using inexpensive and low-sampling-rate vibration sensors. The proposed wide first-layer kernels, which extract features from vibration observations, are particularly suitable for lowsampling-rate signals. Meanwhile, the proposed doublescale structure improves accuracy and noise suppression by combining two types of timescale features. Sufficient experiments, including noise addition and comparison,were conducted to demonstrate the robustness and accuracy of the proposed algorithm.

关键词： Vibrations Fault diagnosis Transportation industry Feature extraction Rail transportation Robustness Convolutional neural networks

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Semi-supervised Speech Lie Detection Algorithm Based on Multiple Features and Adaptive Threshold

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2025年第6期52卷 2015-2021页

作者： Zheng, Shuailong Tao, Huawei Yu, Hang Xi, Ji Zhu, Chunhua Wang, Xuemei Key Laboratory for Grain Information Processing and Control Henan Key Laboratory of Grain Storage Information Intelligent Perception and Decision Making Henan University of Technology Zhengzhou450001 China Computer Information Engineering Changzhou Institute of Technology Jiangsu213000 China

The limited number of labeled samples can significantly affect the accuracy of speech lie detection systems. However, semi-supervised algorithms have been shown to effectively improve detection performance under such constraints. To address this challenge, this paper proposes a semi-supervised speech lie detection algorithm that utilizes multiple features and adaptive thresholds. First, through comparative analysis, this paper identifies 312-dimensional acoustic features and 768-dimensional self-supervised features as the key elements of lie detection. Then, these acoustic features are processed using a bidirectional long short-term memory network (Bi-LSTM), which obtains comprehensive information by analyzing acoustic statistical features in both forward and backward directions. Subsequently, this paper develops a semi-supervised feature fusion module (BSFM) to extract deeper insights from basic features and achieves adaptive feature fusion through targeted training. In addition, based on a detailed analysis of the distribution characteristics of lie detection samples, this paper proposes an improved Freematch algorithm to better utilize unlabeled data. Experimental results show that the proposed algorithm outperforms most existing methods on the self-built H-Wolf dataset and the Columbia/SRI/Colorado Corpus (CSC). © (2025), (International Association of Engineers). All Rights Reserved.

关键词： Semi-supervised learning

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Sustainable materials systems for triboelectric nanogenerator

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SusMat 2024年第6期4卷 85-138页

作者： Yijun Hao Chuguo Zhang Wei Su Hongke Zhang Yong Qin Zhong Lin Wang Xiuhan Li School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijingChina State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong UniversityBeijingChina School of Materials Science and Engineering Georgia Institute of TechnologyAtlantaGeorgiaUSA

Benefiting fromthe high sensitivity and electromechanical conversion efficiency,triboelectric nanogenerators(TENGs)are widely used in various fields of selfpowered sensing and mechanical energy harvesting,which have great potential for application in future smart Internet of *** development of sustainable triboelectric materials with high-performance has a vital impact on the construction of TENG devices that combine high-output performance and environmental friendliness,which have a positive impact on the sustainable development of *** review systematically and comprehensively summarizes the latest research work on TENG’s sustainable ***,an overall overview is provided based on the composition of the materials,including amino acids,polysaccharides,and synthetic polymer,and the representative research works are further classified and summarized in *** addition,the latest research progress of TENG with sustainable materials in the fields of self-powered sensing and mechanical energy harvesting applications is also ***,the overviews are provided for the various challenges in the current development of TENG’s sustainable material,and the related outlooks are offered on the corresponding development strategies and directions of this field in the future.

关键词： amino acids polysaccharides sustainable materials synthetic polymers triboelectric nanogenerators

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GGC:Gray-Granger Causality Method for Sensor Correlation Network Structure Mining on High-Speed Train

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Tsinghua Science and Technology 2022年第1期27卷 207-222页

作者： Jie Man Honghui Dong Limin Jia Yong Qin the State Key Laboratory of Rail Traffic Control and Safety and Beijing Research Center of Urban Traffic Information Sensing and Service TechnologiesBeijing Jiaotong UniversityBeijing 100044China

Vehicle information on high-speed trains can not only determine whether the various parts of the train are working normally,but also predict the train’s future operating *** to obtain valuable information from massive vehicle data is a difficult ***,we divide the vehicle data of a high-speed train into 13 subsystem datasets,according to the functions of the collection ***,according to the gray theory and the Granger causality test,we propose the Gray-Granger Causality(GGC)model,which can construct a vehicle information network on the basis of the correlation between the collection *** using the complex network theory to mine vehicle information and its subsystem networks,we find that the vehicle information network and its subsystem networks have the characteristics of a scale-free *** addition,the vehicle information network is weak against attacks,but the subsystem network is closely connected and strong against attacks.

关键词： vehicle information network structure mining gray theory Granger causality theory complex network theory high-speed train

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Broad-Learning-System-Based Model-Free Adaptive Predictive control for Nonlinear MASs Under DoS Attacks

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 381-393页

作者： Hongxing Xiong Guangdeng Chen Hongru Ren Hongyi Li the School of Automation Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control Guangdong University of Technology Guangdong Provincial Key Laboratory for Intelligent Decision and Cooperative Control Guangdong University of Technology the College of Electronic and Information Engineering Southwest University IEEE

In this paper, the containment control problem in nonlinear multi-agent systems(NMASs) under denial-of-service(DoS) attacks is addressed. Firstly, a prediction model is obtained using the broad learning technique to train historical data generated by the system offline without DoS attacks. Secondly, the dynamic linearization method is used to obtain the equivalent linearization model of NMASs. Then, a novel model-free adaptive predictive control(MFAPC) framework based on historical and online data generated by the system is proposed, which combines the trained prediction model with the model-free adaptive control method. The development of the MFAPC method motivates a much simpler robust predictive control solution that is convenient to use in the case of DoS attacks. Meanwhile, the MFAPC algorithm provides a unified predictive framework for solving consensus tracking and containment control problems. The boundedness of the containment error can be proven by using the contraction mapping principle and the mathematical induction method. Finally, the proposed MFAPC is assessed through comparative experiments.

关键词： Broad learning technique denial-of-service (DoS) model-free adaptive predictive control (MFAPC) nonlinear multi-agent systems (NMASs)

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