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Correlation,superconductivity and topology in graphene moirésuperlattice

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Frontiers of physics 2023年第4期18卷 199-207页

作者： Lingxiao Li Min Wu xiaobo lu International Centre for Quantum Materials Peking UniversityBeijing 100871China

Moirésuperlattices created by stacking different pieces of two-dimensional layered materials with a slight lattice mismatch have recently emerged as an exceptional platform for exploring emergent quantum *** stark contrast to the“parent”materials,the electronic band structures are significantly modified from moiréengineering due to the large-scale periodic moirépotential and interlayer *** this paper,we mainly focus on the recent progresses achieved in graphene-based moirésystems which have been a condensed-matter playground showing unprecedented abundance of quantum states such as strongly correlated states,superconductivity and novel band topologies.

关键词： twisted graphene moirésuperlattices correlation superconductivity topology

Geckos Distributing Adhesion to Toes in Upside-down Running Offers Bioinspiration to Robots

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Journal of Bionic Engineering 2020年第3期17卷 570-579页

作者： Yi Song xiaobo lu Jun Zhou Zhouyi Wang Zehua Zhang Zhendong Dai College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China College of Astronautics Nanjing University of Aeronautics and AstronauticsNanjing 210016China Base of Gecko Breeding Guangyuan Industry Co.LtdYunnan Tin GroupGejiu 661000China

Discoveries in geckos locomotion have advanced the bio-inspired ***,the gecko-inspired robots still lag behind animals in attachments and maneuvers due to our failure to understand and implement gecko bionics ***,we studied the toe deployments that facilitate the upside-down motion of geckos by focusing on the directions and contact area of toes to offer inspirations for the design and control of feet of legged robots that must operate on inverted *** of clustering toes,geckos align toes in varying *** distribute adhesion to toes by controlling the magnitude of contact area,with one square millimeter setae generating〜153.8 mN shear force and〜39.5 mN attractive force on *** feet deploy toes in a〜190°span that centers on〜16°from the motion *** distribute uniformly and contribute ***,hind feet deploy toes in a〜220°span centering around^90°relative to the fore-aft *** last two toes point toward the rear and contribute most in hind feet while the first two toes adhere *** deployments involving distributed control among toes not only provide insight into biological adhesion but will also deliver useful information to the next generation of climbing robotics.

关键词： gecko-inspiration ceiling-walking hierarchical feet deployments of toes distributed control

On Comparing Six Optimization Algorithms for Network-based Wind Speed Forecasting

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On Comparing Six Optimization Algorithms for Network-based W...

第37届中国控制会议

作者： Huanjie Tao xiaobo lu School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University

Network-based wind speed forecasting has played an important role in the power system. The network parameters optimization is an important issue, and different optimization algorithms are believed to result in different forecasting accuracies. In this paper, six network parameters optimization algorithms, including Gradient descent, Momentum, Ada Grad, RMSprop, Adam, and Adadelta, are implemented and compared in the application of wind speed forecasting. As a case study, this paper uses a wind speed data obtained from Ningxia, China. The performance is evaluated by three metrics, namely, mean absolute error（MAE）, root mean square error（RMSE）, and mean absolute percentage error（MAPE）. The experiment results show that, Adam algorithm and RMSprop algorithm achieve better forecasting accuracy and less training time than the other optimization algorithms. This study can be a guide to the selection of optimization algorithms on wind speed forecasting problems for researchers.

关键词： Wind speed forecasting Back-propagation neural network Forecasting accuracy Optimization algorithms

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散焦和运动模糊复合模型及参数估计

仪器仪表学报 2011年第11期32卷 2523-2529页

作者：李楠路小波东南大学交通学院南京210096 东南大学自动化学院南京210096

为了解决散焦和运动模糊同时存在的图像复原问题,建立了一种散焦和运动模糊复合模型,提出了一种基于自相关的参数估计方法。在分析图像成像过程的基础上,对标准散焦模型和运动模糊模型进行卷积,估计复合模型的分布范围,根据光的散射特... 详细信息

为了解决散焦和运动模糊同时存在的图像复原问题,建立了一种散焦和运动模糊复合模型,提出了一种基于自相关的参数估计方法。在分析图像成像过程的基础上,对标准散焦模型和运动模糊模型进行卷积,估计复合模型的分布范围,根据光的散射特性和能量守恒调整复合模糊模型的幅度。对复合模型按两方向分别求导,根据导数矩阵自相关的曲线特性估计模糊参数。实验结果表明,参数估计方法具有较高的估计精度,解决了混叠现象造成的干扰问题,复合模型则能够取得较好的复原效果。

关键词：降质模型散焦运动模糊参数估计图像复原

A Local Adaptive Structure Sparse Representation Algorithm For Image Reconstruction

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A Local Adaptive Structure Sparse Representation Algorithm F...

第37届中国控制会议

作者： Deming Zhang Chang lu xiaobo lu Han Xue School of Automation Southeast University School of Software Engineering University of Science and Technology of China Key Laboratory of Measurement and Control of CSE Ministry of EducationSoutheast University

This paper studies the local structure similarity sparsity model in order to overcome the shortcomings of multi-frame image super-resolution reconstruction based on sparse representation. It obtains the good estimation of the sparse coding coefficient according to the local structure similarity by introducing the sparse coding estimation error term and utilizing the numerous redundancy of image sequences. This paper, with the aim to achieve a better reconstruction effect, presents a local adaptive structure sparse representation image reconstruction algorithm, which can adaptively set the regular parameters based on the maximum a posteriori estimation. In addition, the sparse coding of the image can be updated adaptively on the basis of the local structure in the iterative process, which makes the reconstruction model generalized. Experiments show that the proposed method can preserve the edge detail and smooth the non-edge region well.

关键词： super-resolution sparse representation structure reconstruction

A Spatial Pyramid Pooling Convolutional Neural Network for Smoky Vehicle Detection

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A Spatial Pyramid Pooling Convolutional Neural Network for S...

第37届中国控制会议

作者： Yichao Cao Chang lu xiaobo lu Xue Xia School of Automation Southeast University Key Laboratory of Measurement and Control of CSE Ministry of EducationSoutheast University School of Software Engineering University of Science and Technology of China

This paper investigates the automated recognition of smoky vehicles in surveillance videos. Most current methods recognize the smoky vehicle based on additional sensors. It is a challenging task to recognize smoky vehicle from images due to complex background and the movement of the vehicles. In this paper, we develop a spatial pyramid pooling convolutional neural network（SPPCNN） for smoky vehicle detection according to the image processing algorithm. Resizing the image will lead to shape changes of the smoke plume, and reducing the recognition rate. The spatial pyramid pooling layer is used to overcome this problem. The input of CNN is raw pictures of the tail of the vehicles which captured with method of foreground-background segmentation. This model extracts features from both the vehicles and the smoke by performing convolutions, and regarding the vehicle information as a prior. Experimental results show that this method achieved very low false alarm rates below 1% with detection rates above 80% on real video sequences.

关键词： Deep learning smoky vehicle convolutional neural networks image classification

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基于椭圆拟合的车辆遮挡处理算法

仪器仪表学报 2015年第1期36卷 209-214页

作者：朱周路小波东南大学交通学院南京210096 东南大学自动化学院南京210096

为了对遮挡车辆进行分割,提出了一种基于椭圆拟合的车辆遮挡处理算法。在遮挡检测方面,利用最小二乘椭圆拟合法检测独立前景区域中的车尾阴影。如果检测到2个车尾阴影,则判断前景区域中存在着遮挡现象。在遮挡处理方面,利用与车道线方... 详细信息

为了对遮挡车辆进行分割,提出了一种基于椭圆拟合的车辆遮挡处理算法。在遮挡检测方面,利用最小二乘椭圆拟合法检测独立前景区域中的车尾阴影。如果检测到2个车尾阴影,则判断前景区域中存在着遮挡现象。在遮挡处理方面,利用与车道线方向平行的直线将前景区域轮廓分割为2个子轮廓。之后,提出了长轴方向固定的最小二乘椭圆拟合法对2个子轮廓分别进行拟合,并定义2个子轮廓到各自椭圆的距离之和作为分割评价函数,最后选择具有最小评价值的直线作为车辆遮挡的分割直线。实验结果表明,该算法能够准确地检测和分割车辆间的遮挡现象。

关键词：遮挡检测遮挡分割椭圆拟合最小二乘

Centre symmetric quadruple pattern-based illumination invariant measure

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Journal of Southeast University(English Edition) 2020年第4期36卷 407-413页

作者： Hu Changhui Zhang Yang lu xiaobo Liu Pan School of Automation Southeast UniversityNanjing 210096China Key Laboratory of Measurement and Control of Complex Systems of Engineering of Ministry of Education Southeast UniversityNanjing 210096China School of Transportation Southeast UniversityNanjing 211189China

A centre symmetric quadruple pattern-based illumination invariant measure(CSQPIM)is proposed to tackle severe illumination variation face ***,the subtraction of the pixel pairs of the centre symmetric quadruple pattern(CSQP)is defined as the CSQPIM unit in the logarithm face local region,which may be positive or *** CSQPIM model is obtained by combining the positive and negative CSQPIM ***,the CSQPIM model can be used to generate several CSQPIM images by controlling the proportions of positive and negative CSQPIM *** single CSQPIM image with the saturation function can be used to develop the *** CSQPIM images employ the extended sparse representation classification(ESRC)as the classifier,which can create the CSQPIM image-based classification(CSQPIMC).Furthermore,the CSQPIM model is integrated with the pre-trained deep learning(PDL)model to construct the CSQPIM-PDL ***,the experimental results on the Extended Yale B,CMU PIE and Driver face databases indicate that the proposed methods are efficient for tackling severe illumination variations.

关键词： centre symmetric quadruple pattern illumination invariant measure severe illumination variations single sample face recognition

A Robust Rail Positioning Method for Turnout and Non-turnout Sections

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A Robust Rail Positioning Method for Turnout and Non-turnout...

第40届中国控制会议

作者： Shixiang Su Shuzhen Tong xiaobo lu Yun Wei School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Beijing Mass Transit Railway Operation Corporation Limited

Rail positioning is an essential task for railway track defect detection. The turnout is one of the main components of railway tracks. In order to realize the positioning of rails in turnout sections and non-turnout sections, this paper proposes a robust rail positioning method based on double sliding windows. Firstly, extract lines from the preprocessed image. Secondly,lines are discretized into points, and then all points are projected to the x-axis of the image. Finally, a double sliding window method is used to search for the rail area. The experimental results show that the proposed method can effectively identify the rail’s location in the turnout area, and the detection accuracy can reach 99%. What’s more, it has strong adaptability to complex detection environments such as curved rail or broken rail.

关键词： Rail positioning Turnout Railway Line detection Sliding window