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11th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2024

作者： Yang, Ruiping Ge, Jian Luo, Wang Hu, Xiangyun She, Jinhua Chugo, Daisuke Dong, Haobin School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Faculty of Engineering Kwansai Gakuin University Osaka669-1330 Japan School of Geophysics and Geomatics China University of Geosciences Wuhan430074 China Hubei Subsurface Multi-scale Imaging Key Laboratory Wuhan430074 China School of Engineering Tokyo University of Technology Hachioji Tokyo192-0982 Japan

ISBN: (纸本)9789819647521

The fluxgate sensor is the most widely used sensor in vector magnetic measurement. However, during long-term continuous observation, the fluxgate sensor will produce large measurement errors due to changes in ambient temperature. This paper proposes a temperature calibration method for the fluxgate sensor based on polynomial fitting to address the temperature error of fluxgate sensors. First, the effect of temperature on the performance indicators of the fluxgate sensor was analyzed. Second, according to the existing temperature-magnetic field data, a temperature calibration model of the fluxgate sensor was constructed. And compared it with other temperature calibration method, the result shows that the proposed temperature calibration method is relatively simple and can better achieve real-time calibration for sensor application scenarios. Finally, to verify the effectiveness of the proposed method, numerous laboratory experiments were implemented. The temperature drift was reduced from about 700 nT before calibration to about 1 nT, root mean square error RMSE=11.7189, indicating that the proposed method has a good temperature calibration effect on the data measured by the fluxgate sensor within the variable temperature background. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Curve Fitting Fluxgate Sensor Temperature Calibration

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Fixed-time stabilization of discontinuous spatiotemporal neural networks with time-varying coefficients via aperiodically switching control

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Science China(Information Sciences) 2023年第5期66卷 182-195页

作者： Xiaofang HU Leimin WANG Chuan-Ke ZHANG Xiongbo WAN Yong HE School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

This paper focuses on the challenge of fixed-time control for spatiotemporal neural networks(SNNs) with discontinuous activations and time-varying coefficients. A novel fixed-time convergence lemma is proposed, which facilitates the handling of time-varying coefficients of SNNs and relaxes the restriction on the non-positive definiteness of the derivative of the Lyapunov function. Besides, a more flexible and economical aperiodically switching control technique is presented to stabilize SNNs within a fixed time,efectively reducing the amount of information transmission and control costs. Under the newly established fixed-time convergence lemma and aperiodically switching controller, many more general algebraic conditions are deduced to ensure the fixed-time stabilization of SNNs. Numerical examples are provided to manifest the validity of the results.

关键词： spatiotemporal neural networks discontinuous activations time-varying coefficients fixed-time stabilization aperiodically switching control

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Low Pressure Chemical Vapor Deposited Perovskite Enables all Vacuum-Processed Monolithic Perovskite-Silicon Tandem Solar Cells

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advanced Energy Materials 2025年

作者： Zhang, Yuxi Zhu, Yanqing Sun, Jingsong Hu, Min Chen, Jiahui Duan, Bingxin Hu, Shenghan Hou, Peiran Tan, Wen Liang Ku, Zhiliang Yang, Weiguang Lu, Jianfeng State Key Laboratory of Silicate Materials for Architectures Wuhan University of Technology Wuhan430070 China Zhejiang Baima Lake Laboratory Co. Ltd. Zhejiang Hangzhou310000 China School of Electronic and Electrical Engineering Hubei Province Engineering Research Center for Intelligent Micro-Nano Medical Equipment and Key Technologies Wuhan Textile University Wuhan430200 China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan430070 China ClaytonVIC3168 Australia Solar Technology Co. Ltd. Jiangsu Taizhou225500 China

Low-pressure chemical vapor deposition (CVD) is a promising technique for metal halide perovskite photovoltaics fabrication due to its low manufacturing cost, conformal coverage, and high scalability for industry-scale fabrication. However, the lack of knowledge of the reaction kinetics makes the solar cell performance lag behind its solution-processed counterpart. Herein, the perovskite formation and crystal growth process in the CVD process are studied by unraveling the mechanism of ion diffusion via tracking the vapor–solid reaction with various semi-in-situ characterizations. It is found that Cs+ can migrate along the perovskite lattice and uniformly distribute in the vertical direction of the final perovskite film even changing the deposition order of CsBr and PbI2 in the solid source, whereas this order can significantly affect the growth kinetics and the bandgap of the perovskite. Depositing CsBr before PbI2 results in a faster conversion of inorganic precursors to perovskite phase, yielding a wider bandgap perovskite. Finally, we fabricated semi-transparent perovskite cells using all-vapor deposition process, which showed a champion efficiency of 18.7% and it retained ≈94% of its initial performance after 200 h of continuous operation. Moreover, using this all-vapor deposition process, we achieved a champion efficiency of 26.9% for monolithic perovskite-silicon tandem solar cells. © 2025 Wiley-VCH GmbH.

关键词： Low pressure chemical vapor deposition

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Gas adsorption and accumulation on hydrophobic surfaces:Molecular dynamics simulations

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Chinese Physics B 2015年第9期24卷 392-398页

作者：骆庆群杨洁明 Taiyuan University of Technology Key Laboratory Advanced Transducers and Intelligent Control System of Ministry of Education

Molecular dynamics simulations show that the gas dissolved in water can be adsorbed at a hydrophobic interface and accumulates thereon. Initially, a water depletion layer appears on the hydrophobic interface. Gas molecules then enter the depletion layer and form a high-density gas-enriched layer. Finally, the gas-enriched layer accumulates to form a nanobubble. The radian of the nanobubble increases with time until equilibrium is reached. The equilibrium state arises through a Brenner–Lohse dynamic equilibrium mechanism, whereby the diffusive outflux is compensated by an influx near the contact line. Additionally, supersaturated gas also accumulates unsteadily in bulk water, since it can diffuse back into the water and is gradually adsorbed by a solid substrate.

关键词： hydrophobic molecular dynamics nanobubble

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Detecting the Position of the Moving-iron Solenoid by Non-displacement Sensor Based on Parameter Identification of Flux Linkage Characteristics

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Chinese Journal of Mechanical Engineering 2013年第6期26卷 1204-1211页

作者： WANG Xuping QUAN Long XIONG Guangyu Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education Taiyuan University of Technology

Currently, most researches use signals, such as the coil current or voltage of solenoid, to identify parameters; typically, parameter identification method based on variation rate of coil current is applied for position estimation. The problem exists in these researches that the detected signals are prone to interference and difficult to obtain. This paper proposes a new method for detecting the core position by using flux characteristic quantity, which adds a new group of secondary winding to the coil of the ordinary switching electromagnet. On the basis of electromagnetic coupling theory analysis and simulation research of the magnetic field regarding the primary and secondary winding coils, and in accordance with the fact that under PWM control mode varying core position and operating current of windings produce different characteristic of flux increment of the secondary winding. The flux increment of the electromagnet winding can be obtained by conducting time domain integration for the induced voltage signal of the extracted secondary winding, and the core position from the two-dimensional fitting curve of the operating winding current and flux-linkage characteristic quantity of solenoid are calculated. The detecting and testing system of solenoid core position is developed based on the theoretical research. The testing results show that the flux characteristic quantity of switching electromagnet magnetic circuit is able to effectively show the core position and thus to accomplish the non-displacement transducer detection of the said core position of the switching electromagnet. This paper proposes a new method for detecting the core position by using flux characteristic quantity, which provides a new theory and method for switch solenoid to control the proportional valve.

关键词： switch solenoid flux characteristic quantity position detection non-displacement sensor

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Modified Hough Transform Based Registration Method for Heavy-haul Railway Rail Profile with Intensive Environmental Noise

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IEEE Transactions on Instrumentation and Measurement 2025年

作者： An, Yuntong Cao, Yuan Sun, Yongkui Su, Shuai Wang, Feng Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation Control System School of Automation and Intelligent Beijing100044 China Beijing Jiaotong University Frontiers Science Center for Smart High-speed Railway System Beijing100044 China Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation Beijing100044 China

In heavy-haul railway inspections, accurate rail profile registration is essential for assessing wear and deformation of tracks. In this process, identifying the rail waist arc as key segments and determining the center of the arc as feature points are crucial steps for rough rail profile registration, often affected by noise from sensors, surface contaminants, and environmental factors. To address these challenges, a profile registration method is proposed, with the Modified Hough Transform (MHT) as a core component. The method first segments key profile sections using curvature thresholds to identify arc segments. For each point in these segments, MHT constructs circles with fixed radius and calculates their intersection points. A distance matrix based on Euclidean distances between intersection points is generated. By sorting and normalizing these distances, the method identifies local density variations and calculates density coefficients to find the circle center, without manual thresholding. Comparative experiments on simulated and field data show that the proposed method achieves high accuracy and robustness in noisy environments. The dual validation confirms its reliability, making this method effective for rail profile registration in heavy-haul railway inspections. © 1963-2012 IEEE.

关键词： Hough transforms

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A Monitoring Method for the Ice Shape and the Freeze-Thaw Process of Ice Accretion on Transmission Line Based on Circular FBG Plane Principal Strain Sensor

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IEEE Sensors Journal 2025年

作者： Qin, Zhuoke Jia, Bin Shen, Xiahui Zhang, Lizhen Lu, Honggang Du, Chao Cui, Liqin Zhang, Li Deng, Xiao Taiyuan University of Technology College of Physics and Optoelectronics Taiyuan 030024 China Scientific Research Office of Shanxi Electric Power Technical College Taiyuan 030021 China Taiyuan University of Technology College of Physics and Optoelectronics Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education Shanxi Key Laboratory of Precision Measurement Physics Taiyuan 030024 China

As a key infrastructure for China’s “West-to-East Power Transmission” project, transmission lines (TL) face the threat of ice accretion under complex microclimatic conditions. This study proposes a plane principal strain sensing method based on a fiber Bragg grating circular array, achieving synchronous monitoring of 6 strains (ranging from -2000 to 2000 με) across the TL cross-section. Through finite element simulation experiments, a mapping relationship between the bending of TL and the plane principal strain has been established. After completing the sensor calibration, an experimental platform for the freeze-thaw process of ice accretion on the TL was built. The relationships between ice mass and bending strain, as well as the ice shape on the TL cross-section (C-shaped and circular ice) and plane principal strain, were studied. Furthermore, a BP neural network model was developed to determine the 4 states of the icing process (no ice/freeze/stable/thaw), achieving an accuracy of 91.23%. This study provides effective monitoring of the freeze-thaw process of ice accretion on the TL, offering important technical support for the prevention and control of ice accretion in power grid. © 2001-2012 IEEE.

关键词： BP neural network circular fiber Bragg grating (CL-FBG) freeze-thaw process ice shape plane principal strain Transmission line (TL)

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Simplified outlier detection for improving the robustness of a fuzzy model

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Science China(Information Sciences) 2020年第4期63卷 218-220页

作者： Yali JIN Weihua CAO Min WU Yan YUAN School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China University of Geosciences

Dear editor,Fuzzy models have been widely employed in various fields, such as complex industrial process modeling, classification, function approximation, and time series prediction. Extracting fuzzy rules is very important as they determine the capabilities of the fuzzy model. In recent years, data-based methods such as fuzzy clustering, genetic algorithm, and neural networks [1–3], have been pro-

关键词： Simplified outlier detection for improving the robustness of a fuzzy model Gaussian

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Deep neurocomputational fusion for ASD diagnosis using multi-domain EEG analysis

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Neurocomputing 2025年 641卷

作者： Rasool, Abdur Aslam, Saba Xu, Yongjie Wang, Yishan Pan, Yi Chen, Weiyang Department of Information and Computer Sciences University of Hawaii at Manoa HonoluluHI96822 United States Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Guangdong Shenzhen518055 China University of Chinese Academy of Sciences Beijing100049 China Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institutes of Advanced Technology Guangdong Shenzhen518055 China Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology Guangdong Shenzhen518055 China School of Cyber Science and Engineering Qufu Normal University Shandong Qufu273165 China

Autism spectrum disorder (ASD) presents significant challenges in early detection due to its heterogeneous nature and the subtlety of neurophysiological variations. Electroencephalography (EEG) has emerged as a promising tool for ASD diagnosis, offering insights into intricate neurophysiological signal dynamics. However, existing computational EEG analysis techniques often struggle to effectively capture complex ASD-related neural activity patterns. To address these limitations, this study proposes an Encoder-Ensemble Fusion Model (EEFM), designed to enhance EEG-based ASD classification through advanced neurocomputational modeling. EEFM integrates multi-domain EEG features with a sophisticated fusion network, initially extracting a diverse range of time and frequency-domain characteristics. This model enables the identification of nuanced and heterogeneous ASD-specific neural activity, leveraging ensemble learning and autoencoder architectures to uncover complex relationships within the data. Specifically, an LSTM (Long Short-Term Memory)-autoencoder models temporal and spatial dependencies, followed by an XGBoost Regressor for nonlinear EEG signal interpretation and a linear regression model for decision boundary refinement. The proposed model has been evaluated on a dataset focusing on sex-specific EEG variations in ASD and Typically Developing (TD) subjects. By incorporating EEG-based neurophysiological biomarkers, EEFM achieved 93% accuracy in distinguishing ASD from TD individuals. This model enhances sensitivity to subtle ASD-related abnormalities while addressing challenges in data heterogeneity, scarcity, and generalizability, contributing to advancements in neurocomputing methodologies for EEG-based ASD diagnosis. © 2025 Elsevier B.V.

关键词： Neurons

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N, O Dual-Coordinated Hcns@Fe Single-Atom Nanozyme Swith Enhanced Peroxidase-Like Activity for Portable Detection of Acetylcholinesterase Activity and its Pesticide Inhibitors

SSRN

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SSRN 2025年

作者： Yang, Shu Zhang, Ganbing Xu, Hui National Key Laboratory of Green Pesticide Engineering Research Center of Photoenergy Utilization for Pollution Control and Carbon Reduction Ministry of Education College of Chemistry Central China Normal University Wuhan430079 China Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry Ministry-of-Education Key Laboratory for the Synthesis and Applications of Organic Functional Molecules College of Chemistry and Chemical Engineering Hubei University Wuhan430062 China

Single-atom nanozymes (SAzymes) exhibit superior catalytic activity, making it a promising candidate for constructing biosensors. Herein, we constructed a hollow carbon nanocages supported, N and O double-coordinated Fe SAzymes (HCNs@Fe SAs) through a template and pyrolysis strategy. Abundant oxygen atoms in pre-modified template SiO2@resorcinol-formaldehyde provided enough binding sites and promoted the dispersion and stabilization of metal atoms. Compared with non-O modified nanozymes, HCNs@Fe SAs exhibited an 8-fold enhancement in catalytic efficiency. Benefiting from its exceptional peroxide-like activity, a straightforward and dependable colorimetric sensing platform was developed to assess the activity of Acetylcholinesterase and its inhibitor organophosphorus pesticide (OP) in real water samples and fruit substrates, with the limit of detection of 0.02318 mU mL-1 and 0.85 ng mL-1, respectively. An OPs test paper was also designed for point-of-care determination of OP with satisfactory sensitivity. This study provides a new strategy of template pre-modification to design SAzymes with enhanced catalytic efficiency. © 2025, The Authors. All rights reserved.

关键词： Binding sites

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