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arXiv 2021年

作者： Xiao, Wei College of Mathematics and Statistics Shenzhen Key Laboratory of Advanced Machine Learning and Applications Shenzhen University Guangdong Shenzhen518060 China

We show that the Jantzen filtration of a Verma module (possibly singular) coincides with its radical filtration. It implies that the Jantzen Conjecture on Verma modules holds for all infinitesimal characters, while the regular case was settled by Beilinson and Bernstein by geometric methods and reproved by Williamson by an algebraic approach. The coincidence between Jantzen filtration and radical filtration is also generalized to the case of parabolic Verma modules by Shan’s results. Copyright © 2021, The Authors. All rights reserved.

关键词： Algebra

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Distributed Network Flow to Solve Constrained Linear Matrix Equation

Distributed Network Flow to Solve Constrained Linear Matrix ...

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International Workshop on advanced Computational Intelligence (IWACI)

作者： Yiyuan Chai Jiqiang Feng Chen Xu Sitian Qin Shenzhen Key Laboratory of Advanced Machine Learning and Applications Shenzhen University Shenzhen China Harbin Institute of Technology Weihai China

In this paper, a novel network flow is presented from a distributed perspective, which aims to solve classical Stein equation. With the coefficient matrices of appropriate dimensions, each agent only access to several row information. That is to say, a standard decomposition method is presented extensively, and then a distributed optimization problem to search least squares solution is proposed by introducing substitutive variables. We show the equivalence between solutions of distributed optimization problem and least squares solution of original Stein equation. Related convex analysis results show that the state solutions of the designed distributed network flow converge to the least squares solution of Stein equation. Finally, numerical results provide the viability of the designed distributed network flow.

关键词： Computational modeling Search problems Convex functions Mathematical model Matrix decomposition Optimization Standards

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JANTZEN COEFFICIENTS AND SIMPLICITY OF GENERALIZED VERMA MODULES

arXiv

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arXiv 2020年

作者： Xiao, Wei Zhang, Ailin College of Mathematics and Statistics Shenzhen Key Laboratory of Advanced Machine Learning and Applications Shenzhen University Guangdong Shenzhen518060 China

The main purpose of this paper is to establish new tools in the study of Op. We introduce the Jantzen coefficients of generalized Verma modules. They come from the Jantzen's simplicity criteria for generalized Verma modules and have a deep relation with the structure of Op. We develop a reduction process to compute those coefficients by considering basic generalized Verma modules. These modules are induced from maximal parabolic subalgebras and have maximal nontrivial singularity. The classification of such modules is also obtained in this paper. As the first application of our results, we give a refinement of Jantzen's simplicity criteria for generalized Verma *** Codes 17B10, 22E47 Copyright © 2020, The Authors. All rights reserved.

关键词： Algebra

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A Combined Regularizer Based Image Inpainting

A Combined Regularizer Based Image Inpainting

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2019 International Conference on advanced Electrical, Mechatronics and Computer Engineering(AEMCE 2019)

作者： Yu HAN Chen HU Bin XIE Wei-qiang ZHANG Shenzhen Key Laboratory of Advanced Machine Learning and Applications College of Mathematics and StatisticsShenzhen University College of Information Engineering Shenzhen University

As a significant topic in computer vision, image inpainting aims to recover the natural pattern of an image in which pixels have been partially removed or occluded. To achieve this task, the traditional method uses a convex total variation(TV) regularizer. However, as the TV regularizer has to be solved by iteration, image inpainting results obtained from classical methods have the over smoothness tendency and the staircase effect when iteration number increases. To solve the problem, in this paper we introduce a new regularizer to achieve better image inpainting. The new regularizer is a weighted combination of the classical TV regularizer and a nonconvex regularizer. To solve our new model efficiently, a new algorithm is also proposed which is based on the primal-dual algorithm and the iteratively reweighting method. Numerical results demonstrate that our proposed image inpainting model is more effective than classical TV regularizer based models.

关键词： Image inpainting Total variation Primal-dual algorithm Variation models

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Three-Dimensional Force Sensor Based on Deep learning 1st

Three-Dimensional Force Sensor Based on Deep Learning

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1st International Conference on Cognitive Computation and Systems, ICCCS 2022

作者： Duan, Qingling Zhang, Qi Luo, Dong Yang, Ruofan Zhu, Chi Liu, Zhiyuan Ou, Yongsheng Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Shenzhen518055 China Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Shenzhen China Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Shenzhen China

ISBN: (纸本)9789819927883

Human skin can accurately sense subtle changes of both normal and shear forces. However, tactile sensors applied to robots are challenging in decoupling 3D forces due to the inability to develop adaptive models for complex soft materials. Therefore, a new soft tactile sensor has been designed in this paper to detect shear and normal forces, including a soft probe and image acquisition device. First, to capture the deformation of the sensor, colored silicone squares were embedded in the soft probe. Capcamera movement of the colored squares under external forces. The image dataset collected at different 3D forces is then input into a deep learning model. Finally, a custom miniature image device is acquired and embedded in the soft probe to miniaturize the sensor. Computing results obtained from experimental datasets show that the proposed method can accurately decouple the 3D forces. Robots can grap vulnerable objects with sensors prepared at the robot’s tip. The tactile sensors studied in this paper are expected to be applied in robotics fields such as adaptive grasping, dexterous manipulation and human-computer interaction. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Probes

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Enhancement of upper limb movement classification based on wiener filtering technique 22

Enhancement of upper limb movement classification based on w...

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22nd IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020

作者： Jarrah, Yazan Ali Grace, Asogbon Mojisola Samuel, Oluwarotimi Williams Zhu, Mingxing Wang, Xin Delis, Alberto Lopez Huang, Weimin Chen, Shixiong Li, Guanglin CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen College of Advanced Technology UCAS Shenzhen China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Medical Biophysics Center Oriente University Cuba Shenzhen Children's Hospital Department of Neonatology Shenzhen Guangdong518038 China

ISBN: (纸本)9781728162676

Electromyogram pattern recognition (EMG-PR) is considered a potential method for upper limb prosthesis control. In principle, the feature extraction technique has been ranked the most influential factor that affect the EMG-PR method's performance. Despite the progress made thus far, there are inevitable interferences that could not be handled by the usual signal filtering approaches that are applied to enhance the extracted features. To address this issue, this study proposed a technique based on Wiener filtering for the preprocessing of EMG signals towards increasing the classification performance of EMG-PR systems. The performance of the proposed approach was investigated with recordings of high-density surface EMG which was obtained from four transhumeral amputees who performed five classes of limb movements. Then, features of five time-domain were analyzed in terms of their decoding accuracy, sensitive, and F1-score, with and without the application of the proposed for linear discriminant analysis and support vector machine classifiers techniques. Experimental results showed that by applying the proposed technique to the different feature sets, significant improvements in classification accuracy, sensitivity, and F1-score were observed across all subjects and classifiers. The proposed method improved the average classification accuracy by an increase of approximately 6.24% compared with the conventional method, while an increment as high as 16.77% was recorded for individual classes of movements. The outcomes of this study indicate that Wiener filtering may potentially boost the performance of EMG-PR systems in practical applications. © 2021 IEEE.

关键词： Pattern recognition

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Enhanced Image Restoration Via Supervised Target Feature Transfer

Enhanced Image Restoration Via Supervised Target Feature Tra...

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IEEE International Conference on Image Processing

作者： Yuzhao Chen Tao Dai Xi Xiao Jian Lu Shu-Tao Xia Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China Shenzhen Key Laboratory of Advanced Machine Learning and Applications Shenzhen University China

ISBN: (数字)9781728163956

ISBN: (纸本)9781728163963

Deep learning has obtained remarkable success for image restoration. However, most existing deep image restoration models are trained by minimizing the pixel-level reconstruction error between restored images and target images (ground truth), while neglecting the rich information from the intermediate feature layers, thus hindering the representational power of networks. To address this problem, we propose a Supervised Target Feature Transfer (STFT) framework to enhance the power of feature expression of the deep image restoration models. Specifically, we introduce a self-supervised antoencoder-based target feature extractor to extract compact feature representation of target images, which serves as supervision signals to train the deep backbone models at the same time. With such feature-level supervised information, deep backbone model can be enhanced by transfer learning of such target features. Moreover, we theoretically analyze our STFT training strategies and demonstrate that it imposes learnable prior information on the backbone restoration model. Extensive experiments demonstrate the effectiveness of our proposed framework compared with the state-of-the-art image restoration models.

关键词： Feature extraction Image restoration Training Image reconstruction Task analysis Image resolution machine learning

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Design and simulation of a novel thermoelectric micro-device with electrodeposited bi-te alloys 10th

Design and simulation of a novel thermoelectric micro-device...

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10th China International Conference on High-Performance Ceramics, CICC 2017

作者： Guo, Shuai Su, Ning Li, Fu Liu, Da Wei Li, Bo Advanced Materials Institute Graduate School at Shenzhen Tsinghua University Shenzhen518055 China Shenzhen Key Laboratory of Advanced Thin Films and Applications College of Physics and Energy Shenzhen University Shenzhen518060 China Huaneng Clean Energy Research Institute Beijing102209 China

ISBN: (纸本)9783035711769

A novel thermoelectric micro-device was designed with n-type and p-type Bi-Te materials alloys via a template electrodeposition process. The glass template including 250 holes in 10×10 mm2 with a thickness of 200~ 400 µm. The diameter of the holes is 50~ 80 µm and the distance of adjacent centers of the holes is 200 µm. According to the design, the performance of heat transference and thermoelectric energy generation are simulated by COMSOL Multiphysics. In order to simplify model, there are 16 units in total, and each unit is made up of 16 (4 × 4) pillars. In the simulation, the largest temperature difference is 7.8K on the conditions of 500 W/m2 K in convection heat transfer coefficients and the maximum output potential of the module is 21.7 mV. The maximum output power achieved 96.9 µW under 500 W/m2 K of heat transfer coefficient and 10 mA of current. Under ideal conditions, the value of open circuit voltage and maximum output power increases to nine times as the model, but short circuit current remains the same. When the heat transfer coefficient is 500 W/m2 K and the current density is 10 mA, the maximum output power of the actual product achieved 871.7 µW. © 2018 Trans Tech Publications, Switzerland.

关键词： Heat transfer coefficients

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Vacuum-tuned-atmosphere induced assembly of Au@Ag core/shell nanocubes into multi-dimensional superstructures and the ultrasensitive IAPP proteins SERS detection

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Nano Research 2019年第6期12卷 1375-1379页

作者： Meng Xu Guopeng Tu Muwei Ji Xiaodong Wan Jiajia Liu Jia Liu Hongpan Rong Yanlian Yang Chen Wang Jiatao Zhang Beijing Key Laboratory of Construction-Tailorable Advanced Functional Materials and Green Applications Experim ental Center of Advanced Materials School of Materials Science & EngineeringBeijing Institute of TechnologyBeijing 100081China Institute of Low-dimensional Materials Genome Initiative College of chemistry and environmental engineeringShenzhen UniversityGuangdong Shenzhen 518060China Graduate School at Shenzhen Tsinghua UniversityShenzhen 518055China National Center for Nanoscience and Technology (NCNST) Chinese Academy of SciencesBeijing 100190China

Utilizing vacuum-tuned-atmosphere induced dip coating method,we achieve the cross-dimensional macroscopic diverse self-assemblies by using one building block with one chemical *** modulating the vacuum degree,colloid concentration and evaporation atmosphere,Au@Ag core/shell nanocubes (NCs) can controllably assemble into diverse multi-dimensional *** 0.08 MPa,we obtained the two-dimensional (2D) stepped superstructures with continuously tunable step *** addition,we generated a series of tailorable nanoscale-roughened 2D Au@Ag NCs superstructures at 0.04 MPa,which exhibited the label-free ultrasensitive SERS detection for the different mutants of IAPP8-37 *** 0.01 MPa,we obtained the cross-dimensional tailorable Au@Ag NCs assemblies from random to macroscale 2D and three-dimensional (3D) densest superstructures by adjusting the capping ligand-environmental molecule *** is a flexible method to generate as-prepared Au@Ag core/shell NCs into well-defined macroscopic diverse superstructures and to promote the exploitation into biological applications.

关键词： superstructure Au@Ag core/shell nanocubes (NCs) self-assembly surface enhanced Raman scattering (SERS) detection islet arnyloid-like polypeptide

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Self-powered broadband kesterite photodetector with ultrahigh specific detectivity for weak light applications

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SusMat 2023年第5期3卷 682-696页

作者： Guang-Xing Liang Chuan-Hao Li Jun Zhao Yi Fu Zi-Xuan Yu Zhuang-Hao Zheng Zheng-Hua Su Ping Fan Xiang-Hua Zhang Jing-Ting Luo Liming Ding Shuo Chen Shenzhen Key Laboratory of Advanced Thin Films and Applications Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong ProvinceCollege of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhenChina Institut des Sciences Chimiques de Rennes Universite de RennesRennesFrance Center for Excellence in Nanoscience(CAS) Key Laboratory of Nanosystem and Hierarchical Fabrication(CAS)National Center for Nanoscience and TechnologyBeijingChina

Kesterite Cu_(2)ZnSn(S,Se)_(4)(CZTSSe)is a promising candidate for photodetector(PD)applications thanks to its excellent optoelectronic *** this work,a green solution-processed spin coating and selenization-processed thermodynamic or kinetic growth of high-quality narrow bandgap kesterite CZTSSe thin film is developed.A self-powered CZTSSe/CdS thin-film PD is then successfully *** optimization of light absorber and heterojunction interface,especially tailoring the defect and carrier kinetics,it can achieve broadband response from300 to 1300 nm,accompaniedwith a high responsivity of 1.37A/W,specific detectivity(D*)up to 4.0×10^(14)Jones under 5 nW/cm^(2),a linear dynamic range(LDR)of 126 dB,and a maximum Ilight/Idark ratio of 1.3×10^(8)within the LDR,and ultrafast response speed(rise/decay time of 16 ns/85 ns),representing the leading-level performance to date,which is superior to those of commercial andwell-researched ***,an imaging system with a 905nm laser is built for weak light response evaluation,and can respond to 718 pW weak light and infrared imaging at a wavelength as low as 5 nW/*** has also been employed for photoplethysmography detection of pulsating signals at both the finger and wrist,presenting obvious arterial blood volume changes,demonstrating great application potential in broadband and weak light photodetection scenarios.

关键词： detectivity kesterite photodetector thin film weak light detection

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