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KSLIC: K-mediods clustering based simple linear iterative clustering 1

2nd Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2019

作者： Zhang, Houwang Zhu, Yuan School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

ISBN: (数字)9783030317232

ISBN: (纸本)9783030317225

Simple Linear Iterative Clustering (SLIC) is one of the most excellent superpixel segmentation algorithms with the most comprehensive performance and is widely used in various scenes of production and living. As a preprocessing step in image processing, superpixel segmentation should meet various demands in real life as much as possible, but SLIC is highly sensitive to noise. In this paper, a K-mediods clustering based simple linear iterative clustering (KSLIC) is proposed, which replaces the K-means clustering in SLIC with a modified local K-mediods clustering. To evaluate the performance of KSLIC, we test it on BSD500 benchmark dataset. The results show that it outperforms SLIC in terms of different noise environments including Gaussian noise, multiplicative noise and salt and pepper noise. © Springer Nature Switzerland AG 2019.

关键词： Salt and pepper noise

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SVR-PSO based short-term wind power prediction by using multi-source numerical weather prediection 8

SVR-PSO based short-term wind power prediction by using mult...

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8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and control Applications, ISCIIA and ITCA 2018

作者： Zhou, Hao Ding, Min Li, Danyun Wang, Qingyi Tan, Zhili Wu, Min School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan430074 China

With the large-scale application of wind power, the wind power prediction has been highlighted. In order to improve the prediction accuracy of wind power and ensure the resource utilization rate, a wind power prediction method based on support vector machine regression and particle swarm optimization based on multi-source NWP (numerical weather prediction) is proposed. Firstly, the SVR (support vector regression) algorithm is introduced to model the multi-source wind speed data, which can effectively extract the main features and improve the wind speed prediction accuracy. Then, the PSO (particle swarm optimization) is used to model the historical predicted power data and the actual power data for power prediction. Finally, the proposed approach provides wind power forecasts for future 1 day in steps of 15 min. The effectiveness of the proposed method is verified by experiments on wind farms and the results show that the proposed method is more accurate and effective than SVR. © ISCIIA and ITCA 2018 - 8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and control Application.

关键词： Weather forecasting

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Stacking-induced ferroelectricity in tetralayer graphene

arXiv

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arXiv 2025年

作者： Singh, Amit Xu, Shuigang Sarsfield, Patrick Johansen Núñez, Pablo Díaz Wang, Ziwei Slizovskiy, Sergey Kay, Nicholas Yin, Jun Mayamei, Yashar Taniguchi, Takashi Watanabe, Kenji Yang, Qian Novoselov, Kostya S. Fal’ko, Vladimir I. Mishchenko, Artem Department of Physics and Astronomy University of Manchester Oxford Road ManchesterM13 9PL United Kingdom National Graphene Institute University of Manchester Oxford Road State ManchesterM13 9PL United Kingdom Key Laboratory for Quantum Materials of Zhejiang Province Department of Physics School of Science Westlake University 18 Shilongshan Road Zhejiang Hangzhou310024 China Institute of Natural Sciences Westlake Institute for Advanced Study 18 Shilongshan Road Zhejiang Hangzhou310024 China State Key Laboratory of Mechanics and Control for Aerospace Structures Key Laboratory for Intelligent Nano Materials and Devices of Ministry of Education Institute for Frontier Science Nanjing University of Aeronautics and Astronautics Jiangsu Nanjing China National Institute for Materials Namiki 1-1 Ibaraki Tsukuba305-0044 Japan Institute for Functional Intelligent Materials National University of Singapore Block S9 Level 9 4 Science Drive 2 Singapore117544 Singapore

Recent studies have reported emergent ferroelectric behavior in twisted or moiré-engineered graphene-based van der Waals heterostructures [1–13], yet the microscopic origin of this effect remains under debate. Pristine mono- or few-layer graphene lacks a permanent dipole due to its centrosymmetric lattice, making the emergence of ferroelectricity unlikely. However, mixed-stacked graphene, such as the ABCB tetralayer configuration, breaks both inversion and mirror symmetry and has been theoretically predicted to support electrically switchable dipoles [14–16]. ABCB graphene represents the simplest natural graphene polytype exhibiting intrinsic out-of-plane polarization, arising from asymmetric charge carrier distribution across its layers [17–19]. Here, we report robust ferroelectric behavior in dual-gated, non-aligned ABCB tetralayer graphene encapsulated in hexagonal boron nitride. The device exhibits pronounced hysteresis in resistance under both top and bottom gate modulation, with the effect persisting up to room temperature. This hysteresis originates from reversible layer-polarized charge reordering, driven by gate-induced transitions between ABCB and BCBA stacking configurations – without requiring moiré superlattices. Our findings establish stacking-order-induced symmetry breaking as a fundamental route to electronic ferroelectricity in graphene and open pathways for non-volatile memory applications based on naturally occurring mixed-stacked multilayer graphene. © 2025, CC BY.

关键词： Van der Waals forces

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R-H measurement system based on anomalous hall effect devices 37

R-H measurement system based on anomalous hall effect device...

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37th Chinese control Conference, CCC 2018

作者： Yuan, Zhenyu Dong, Kaifeng Zhu, Laizhe Song, Junlei Iin, Fang Mo, Wenqin School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

ISBN: (纸本)9789881563941

With the application of magnetic thin films becoming more and more widespread, people pay more and more attention to the performance characterization. In order to obtain a magnetic film with a specific performance, it is very important to judge the quality of the magnetic film and measure the magnetic properties of the film. However, with the increase of the film preparation process, the thickness of the prepared film is getting thinner and the magnetic moment signal contained therein is also decreased. This brings a certain degree of difficulty to the traditional measurement methods. For example, the VSM system that obtains the hysteresis loop by measuring the magnetic moment signal has become somewhat inadequate for the measurement of ultra-thin films. In order to solve this issue, a new method based on anomalous Hall effect is introduced in this paper. The test system of this system adopts the four-probe measuring method, a constant current is applied across the surface of the film sample, and the abnormal Hall voltage is measured at the other two ends. The R-H curve of the sample can be obtained through calculation. As compared to VSM measurement, this method is simpler and stable, more accurate, which can greatly reduce the anomalous Hall-effect device R-H characteristic measurement cost. © 2018 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Magnetic moments

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A threshold segmentation method for non-uniform illumination image based on brightness equalization 2

A threshold segmentation method for non-uniform illumination...

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2019 2nd International Conference on advanced Materials, intelligent Manufacturing and Automation, AMIMA 2019

作者： Guo, Hui Chen, Peng Huang, Shun Hu, Cong Zhang, Lijun School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan430074 China

In the process of image acquisition, non-uniform illumination images are common due to poor lighting, surface reflection, or a combination of these two factors. In order to improve the quality of image segmentation, an image threshold segmentation method is proposed for non-uniform illumination images. First, the brightness of different regions in the image is compensated to make the brightness background of the whole image consistent. Second, the gradation histogram of the processed image is obtained and simulated into Gaussian distribution curve, then the inflection points of the curve are calculated. Finally, the two inflection points are set as thresholds to segment the image after brightness equalization. This method eliminates the influence of non-uniform illumination to a certain extent and gets a better segmentation effect. Experiments were carried out on images containing several different types of non-uniform illumination. The results demonstrate that the proposed method outperforms the compared enhancement algorithms in threshold segmentation. © Published under licence by IOP Publishing Ltd.

关键词： Luminance

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High Precision Waveform Reproduction of Shaking Table Based on Linear Active Disturbance Rejection control 39

High Precision Waveform Reproduction of Shaking Table Based ...

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39th Chinese control Conference, CCC 2020

作者： Wang, Sheng Lei, Qi Central South University School of Automation Changsha410083 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

ISBN: (数字)9789881563903

ISBN: (纸本)9789881563903

Seismic simulation shaking table plays a key role in many industrial structural dynamic experiments. High-precision waveform repetition has a great impact on the experimental accuracy of structural dynamic experiments. The equipment of seismic simulation shaker table has obvious uncertainties in the modeling process, so it is difficult to describe the seismic simulation shaker table with a more accurate mathematical model. Therefore, this paper adopt the Linear Active Disturbance Rejection control (LADRC) to achieve high-precision reproduction of the waveform of the seismic simulation shaker. This method will all the model uncertainty and external disturbance as total disturbance, using the extended state observer (ESO) to estimate the total disturbance, and by using state feedback control law of generalized disturbance compensation, to get better performance of resistance to interference. This method does not rely on the model of the specimen and does not need to obtain prior knowledge of the specimen. In this paper, the inertial and single-degree-of-freedom elastic specimens are simulated for vibration test, and the control effect of this strategy is fully verified by comparison with the traditional PID control method. © 2020 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Structural dynamics

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Research on Image Segmentation of Power Line Based on Encoder-Decoder Network 16th

Research on Image Segmentation of Power Line Based on Encode...

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16th Annual Conference of China Electrotechnical Society, CES 2021

作者： Sun, Haotian Fang, Zhijian Wei, Zhiguo Xie, Fei School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

ISBN: (纸本)9789811915277

Power line network is the main carrier of the power system, and the smooth patrol inspection plays a crucial role in the fault prevention of the power line network. With the emergence of the patrol inspection UAV, how to detect the target of the power line through the picture and carry out accurate positioning has become a major research focus of the intelligent power system. A method for detecting and locating power lines based on an encoding lightweight decoder network (EDN-light) is proposed in this paper. It provides a foundation for the research and development of intelligent inspection of power line network, such as detection and identification, fault location, and guarantee of operation safety, and puts forward a new solution to the fault location diagnosis of power line using image. By EDN-light network, it focuses on detecting high level target and eliminating irrelevant information such as background, the convolutional layer of the encoder is used for extracting features, and the deconvolutional layer of the decoder for reconstructing images. The EDN-light network can improve the detection accuracy, and generate high-quality segmentation object suggestions. Use Turkish Electricity Transmission Corporation's aviation power line network dataset and self-made dataset to train the model to improve the generalization ability of the model. Experiments have found that due to the fully convolutional network design, it can carry out multi-scale input, For power line image segmentation and detection, the accuracy is better, and the evaluation indicators of the proposed models have increased. And due to the design of the lightweight decoder, Without retraining the network, the learned model can be extended to unknown linear category targets without repeated training. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Image segmentation

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Residual field suppression for magnetocardiography measurement inside a thin magnetically shielded room using bi-planar coil

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Chinese Physics B 2022年第7期31卷 229-234页

作者： Kang Yang Hong-Wei Zhang Qian-Nian Zhang Jun-Jun Zha Deng-Chao Huang College of Electrical Engineering Anhui Polytechnic UniversityWuhu 241000China Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Ministry of EducationAnhui Polytechnic UniversityWuhu 241000China

For a magnetocardiography(MCG)system inside a magnetically shielded room(MSR),the residual field should be further suppressed to obtain high-quality MCG *** this paper,a compensation system has been developed based on the bi-planar coil and the proportional-integral-derivative(PID)*** bi-planar coil,derived from the target-field theory and the Tikhonov regularization method,is utilized to generate magnetic field with high uniformity in the predefined target *** the PID controller is introduced to provide dynamic compensation current for the coil,according to the residual field change monitored by a reference SQUID *** measurement results show that the noise suppression ratio(NSR)can reach above 20 dB in the low-frequency range from 0.1 Hz to 50 *** DC component and the fluctuation of the residual field in time-domain can be respectively suppressed to 0 p T and 4 p T,indicating that this proposed compensation method is useful for the MCG measurement.

关键词： SQUID magnetocardiography bi-planar coil active compensation

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Infrared image enhancement based on adaptive weighted guided filter

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The Journal of China Universities of Posts and Telecommunications 2022年第2期29卷 73-84页

作者： Lu Ying Huang Shiqi Wang Wenqing Sun Ke School of Automation Xi’an University of Posts and TelecommunicationsXi'an 710121China Xi’an Key Laboratory of Advanced Control and Intelligent Processing Xi’an University of Posts and TelecommunicationsXi'an 710121China

The physical principle of infrared imaging leads to the low contrast of the whole image,the blurring of contour and edge details,and it is also sensitive to *** improve the quality of infrared image and visual effect,an adaptive weighted guided filter(AWGF) for infrared image enhancement algorithm was *** core idea of AWGF algorithm is to propose an adaptive strategy to update the weights of guided filter(GF) parameters,which not only improves the accuracy of regularization parameter estimation in GF theory,but also achieves the purpose of removing infrared image noise and improving its detail contrast.A large number of real infrared images were used to verify AWGF algorithm,and good experimental results were *** with other guided filtering algorithms,the halo phenomenon at the edge of infrared images processed by the AWGF algorithm is significantly avoided,and the evaluation parameter values of information entropy(IE),average gradient(AG),and moment of inertia(MI)are relatively *** shows that the quality of infrared image processed by the AWGF algorithm is better.

关键词： infrared image guided filter(GF) adaptive weight image enhancement regularization parameter

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Hierarchical Adaptive Tracking control for Mobile Robots With Multiple Constraints

Hierarchical Adaptive Tracking Control for Mobile Robots Wit...

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2021 China Automation Congress, CAC 2021

作者： Zhao, Chenghao Zheng, Shiqi Li, Haiming Jian, Haitao Wang, Shihao China University of Geosciences School of Automation Wuhan Campus Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Wuhan China

ISBN: (纸本)9781665426473

This paper studies the mobile robots with multiple constraints based on path planning of A-star algorithm. A hierarchical adaptive control method is presented to handle multiple constaints. On the upper layer, a Astar path planning algorithm is designed. On the lower layer, a new controller is provided. Then, we design barrier Lyapunov function and adaptive RBF neural network control method to make sure that tracking error and velocity error converges to the specified set within a finite amount of time. Compared with other existing works, this system considers multiple consraints include tracking error, constraints velocity constraints and output saturation constraint, provides guarantee for the safe operation of the mobile robot. In addition, because of the unknown conditions on the ground, system also considers the impact of slipping. Computer simulation result demonstrates the effectiveness of control method. In the experimental verification, we use Astar algorithm to generate the appropriate path as the desired trajectory of the mobile robot. The experiment proved the stability of control method. © 2021 IEEE

关键词： Mobile robots

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