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5th International Conference on Computer Network, Electronic and automation, ICCNEA 2022

作者： Li, Dangjuan Dong, Xiaoyu Wang, Kexuan Zhou, Mi Chen, Hang Su, Junhong Xi'an Technological University School of Optoelectronics Engineering Xi'an China Shaanxi Institute of Applied Physical Chemistry Science and Technology on Applied Physical Chemistry Laboratory Xi'an China Harbin Institute of Technology Department of Automation Measurement and Control Harbin China

ISBN: (数字)9781665491099

ISBN: (纸本)9781665491099

Herein, a novel image fusion algorithm based on Laplacian pyramid transform and principal component analysis (PCA) is proposed. In this algorithm, a multi-resolution transform called Laplacian pyramid transform is used to decompose the original image into sub-images. In the transform domain, the coefficients of the various sub-images are combined using a novel fusion rule that utilizes the PCA technique. Finally, the new coefficients are used in the reconstruction of the fused image. Numerical simulations are performed to test the validity and capability of the proposed fusion algorithm. The average gradient values of PCA fusion, Laplacian pyramid fusion, and the proposed fusion method, are tested, respectively. The average gradient values of the proposed method are larger than the other two methods, especially for the spectral bands over 600nm. The three methods performed a bit inferior between the 500nm and 600nm bands compared to the other spectral bands. The Laplacian pyramid transform fusion algorithm seems relatively stable, but it is obvious that the proposed fusion algorithm has a superior performance in the visible range. Moreover, the principal component of the original image was utilized, thus, preserving the spectral information of the hyperspectral image. © 2022 IEEE.

关键词： Principal component analysis

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Multi-source information fusion model in rule-based Gaussian-shaped fuzzy control inference system incorporating Gaussian density function

Multi-source information fusion model in rule-based Gaussian...

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作者： Li, Zairan He, Ting Cao, Luying Wu, Tunhua McCauley, Pamela Balas, Valentina E. Shi, Fuqian Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin China Wenzhou Vocational and Technical College Wenzhou China College of Information and Engineering Wenzhou Medical University Wenzhou325035 China Department of Industrial Engineering and Management Systems University of Central Florida OrlandoFL United States Department of Automation and Applied Informatics Aurel Vlaicu University of Arad Romania

An increasing number of applications require the integration of data from various disciplines, which leads to problems with the fusion of multi-source information. In this paper, a special information structure formalized in terms of three indices (the central presentation, population or scale, and density function) is proposed. Single and mixed Gaussian models are used for single source information and their fusion results, and a parameter estimation method is also introduced. Furthermore, fuzzy similarity computing is developed for solving the fuzzy implications under a Mamdani model and a Gaussian-shaped density function. Finally, an improved rule-based Gaussian-shaped fuzzy control inference system is proposed in combination with a nonlinear conjugate gradient and a Takagi-Sugeno (T-S) model, which demonstrated the effectiveness of the proposed method as compared to other fuzzy inference systems. © 2015 - IOS Press and the authors. All rights reserved.

关键词： Fuzzy control

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Single Source Current Drive Patterns for Electrical Impedance Tomography

Single Source Current Drive Patterns for Electrical Impedanc...

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IEEE Instrumentation & measurement Technology Conference

作者： Lifeng Zhang Huaxiang Wang Department of Automation North China Electric Power University Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation TianjinUniversity

ISBN: (纸本)9781424428328;9781424428335

Electrical impedance tomography (EIT) is a technique for reconstructing conductivity of an inhomogeneous medium by injecting currents at the boundary of an object and measuring the resulting changes in voltage. The SNR of acquisitive data and the reconstructed image quality of EIT system are directly determined by current drive patterns. In this paper, eight current drive patterns with the same boundary voltage measurement strategy have been studied. The isopotential lines, the number of independent measurements, measured voltage dynamic range, voltage change with conductivity change and reconstructed image quality of these patterns are compared, through which an optimal current drive pattern was obtained.

关键词： Electrical impedance tomography Current drive pattern Finite element method Image reconstruction

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A Classification–Detection Approach of COVID-19 Based on Chest X-ray and CT by Using Keras Pre-Trained Deep Learning Models

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Computer Modeling in engineering & Sciences 2020年第11期125卷 579-596页

作者： Xing Deng Haijian Shao Liang Shi Xia Wang Tongling Xie School of Computer Science Jiangsu University of Science and TechnologyZhenjiang212003China School of Automation Key Laboratory of Measurement and Control for CSEMinistry of EducationSoutheast UniversityNanjing210096China School of Computer Science and Communication Engineering Jiangsu UniversityZhenjiang212003China School of Information Science and Technology Nantong UniversityNantong226019China Department of Electrical and Computer Engineering National University of Singapore117583Singapore The People’s Hospital of RUGAO Nantong226500China

The Coronavirus Disease 2019(COVID-19)is wreaking havoc around the world,bring out that the enormous pressure on national health and medical staff *** of the most effective and critical steps in the fight against COVID-19,is to examine the patient’s lungs based on the Chest X-ray and CT generated by radiation *** this paper,five keras-related deep learning models:ResNet50,InceptionResNetV2,Xception,transfer learning and pre-trained VGGNet16 is applied to formulate an classification-detection approaches of *** benchmark methods SVM(Support Vector Machine),CNN(Conventional Neural Networks)are provided to compare with the classification-detection approaches based on the performance indicators,i.e.,precision,recall,F1 scores,confusion matrix,classification accuracy and three types of AUC(Area Under Curve).The highest classification accuracy derived by classification-detection based on 5857 Chest X-rays and 767 Chest CTs are respectively 84%and 75%,which shows that the keras-related deep learning approaches facilitate accurate and effective COVID-19-assisted detection.

关键词： COVID-19 detection deep learning transfer learning pre-trained models

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Highly accurate geometric correction for seriously oblique aero remote sensing image based on the piecewise polynomial model

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Journal of Computational Information Systems 2011年第2期7卷 342-349页

作者： Wang, Chunyuan Zhang, Ye Wu, Yang Gu, Yanfeng School of Electronics and Information Engineering Harbin Institute of Technology Harbin 150001 China Department of Automation Measurement and Control Engineering Harbin Institute of Technology Harbin 150001 China

Most widely used geometric correction methods rely on ground control points to empirically determine a mathematical coordinate transformation to project the distorted image into the reference image. However, conventional methods usually employed the same correction formula in the whole image which few considered the seriously geometric distortion problem causing by imaging with a large view angle. This paper introduces a new piecewise polynomial correction method that addresses this problem based on the nonlinear variability of geometric distortions in different imaging angles. In the new method, piecewise strategy and the selection of control points are two key techniques. The seriously oblique image is partitioned into several subspaces which separately use the different correction factors in order to correct the local distortions better. And in the correction, a uniform distribution strategy is proposed for selecting the representative control points to evaluate the correction polynomial coefficients of each subspace. The experimental results show that the proposed correction method is significantly outperforming conventional approaches. For an image acquired in 60 degrees, the proposed method results in correction root mean square errors having around 30% improvement comparing to the traditional method. Copyright © 2011 Binary Information Press.

关键词： Mean square error

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A new pricing scheme for controlling energy storage devices in smart grid

A new pricing scheme for controlling energy storage devices ...

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2014 American control Conference, ACC 2014

作者： Zhu, Jingwei Chen, Michael Z. Q. Zuo, Zhiqiang Du, Baozhu Department of Mechanical Science and Engineering University of Illinois at Urbana-Champaign Champaign IL 61820 United States Department of Mechanical Engineering University of Hong Kong Hong Kong Hong Kong Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China School of Automation Nanjing University of Science and Technology Nanjing China HKU Shenzhen Institute of Research and Innovation China

ISBN: (纸本)9781479932726

Improvement of the overall efficiency of energy infrastructure is one of the main anticipated benefits of the deployment of smart grid technology. Advancement in energy storage technology and two-way communication in the electric network are indispensable components to achieve such a vision, while efficient pricing schemes and appropriate storage management are also essential. In this paper, we propose a novel pricing scheme which permits one to indirectly control the energy storage devices in the grid to achieve a more desirable aggregate demand profile that meets a particular target of the grid operator such as energy generation cost minimization and carbon emission reduction. Such a pricing scheme can potentially be applied to control the behavior of energy storage devices installed for integration of intermittent renewable energy sources that have permission to grid connection and will have broader applications as an increasing number of novel and low-cost energy storage technologies emerge. © 2014 American Automatic control Council.

关键词： Smart power grids

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Simulation method for three-dimensional atmospheric turbulence in virtual test

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Journal of Computational Information Systems 2011年第4期7卷 1021-1028页

作者： Wu, Yang Jiang, Shouda Lin, Lianlei Wang, Chunyuan Department of Automation Measurement and Control Engineering Harbin Institute of Technology Harbin 150001 China School of Electronics and Information Engineering Harbin Institute of Technology Harbin 150001 China

Atmospheric turbulence is an important issue for successful flight in aeronautical experimentation. In the virtual test of aircraft, building a three-dimensional atmospheric turbulence field (3D-ATF) is necessary for integral simulation. Most classical methods which were based on building one-dimensional atmospheric turbulence simulation do not suit simulating the 3D-ATF. And several existing 3D-ATF simulation methods were not applicable in a large 3D space. This paper that addresses these problems proposes a new method for generating 3D-ATF based on the correlation function. The recursive formulae for the generation of 3D-ATF are deduced based on the self-correlation function and one step correlation function, and the original 3D-ATF is obtained. To achieve the good statistical characteristic the original 3D-ATF is optimized by the twice filtering. The new method is applied to build a 400 × 400 × 400 atmospheric turbulence field. Simulation results indicate that the relativity of 3D-ATF based on the correlation function method is near to the theoretic value. And the relativity of the 3D-ATF optimized by filtering performs the better fitting characteristics to the theoretic value. Consequently, the proposed simulation method is effective for building 3D-ATF in virtual test of aircraft. Copyright © 2011 Binary Information Press.

关键词： Atmospheric turbulence

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A combined SOC estimation method under varied ambient temperature for a lead-acid battery

Conference Proceedings - IEEE Applied Power Electronics Conf...

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Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC 2005年 2卷 991-997页

作者： Colemn, M. Zhu, C.B. Lee, C.K. Hurley, W.G. Power Electronics Research Centre National University of Ireland Galway Ireland Department of Automation Measurement and Control Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)0780389751

This paper describes a practical ambient temperature dependant battery state of charge (SOC) estimation algorithm that can determine the SOC of a battery operating under load conditions. SOC is an essential parameter in a monitoring system, which is the basis of a Battery Management System (BMS). Temperature has a profound effect on the actual capacity or SOC of the battery. The proposed model in this paper determines the SOC by incorporating the changes occurring to charge acceptance, power deliverable and internal resistance due to the variations in temperature. © 2005 IEEE.

关键词： Lead acid batteries

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Magnetic and force performance analysis of tubular linear motor with two halbach topologies

Magnetic and force performance analysis of tubular linear mo...

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Chinese control and Decision Conference, CCDC

作者： Fengqi Liang Hui Cong Zhigang Ji Yijing Zhao Control & Measurement Technology Department Chinese Academy of Aerospace Aerodynamics Beijing Automation Science and Electronic Engineering Department Beihang University Beijing

ISBN: (纸本)9781467397155

Halbach array has been widely applied to improve the magnetic and force performance of tubular linear motors for its attractive features. Conventionally, the Halbach permanent magnet (PM) array is mounted inside the windings to be the mover. Herein, the other kind of structure in which Halbach array is mounted outside the windings also draws our interest. The magnetic and force performances of the two kinds of motors are analyzed with Bessel functions and Lorenz Law. The analytical models of the magnetic field and the output force are then validated by the numerical simulations, respectively. Optimization analysis with a penalty function method is conducted as follows, and the magnetic and force performance of the two topologies are compared. The result of this paper can provide a basis for the generic motor designs.

关键词： Topology Magnetic flux Force Magnetic fields Windings Magnetic confinement Magnetic analysis

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Robust sampled-data control for vehicle steering systems

Robust sampled-data control for vehicle steering systems

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IEEE Conference on control Technology and Applications (CCTA)

作者： Li-Sheng Hu Yong-Yan Cao Hui-He Shao Department of Automation Shanghai Jiaotong University Shanghai China Department of Measurement and Control Faculty of Electrical Engineering Duisburg University Duisburg Germany

In industrial control, computer control is widely used, which makes the closed-loop system be a sampled-data one containing continuous time and discrete time signals. In contrast to the traditional approximation methods, sampled-data synthesis is a direct digital controller design procedure without approximation. Sampled-data control which is capable of stabilizing general nonlinear systems with the intersample behavior taken into account are of great current interest. In the paper robust sampled-data control for a class of nonlinear parametric uncertain systems with constraints on the output imposed by time-domain performances is proposed. Based on the result of robust asymptotic stability of sampled-data systems with constraints on the state, robust sampled-data control for a class of uncertain nonlinear systems with constraints on the output is developed. The problem is formulated for vehicle steering control with constraint on the side slip angle of body. The result is described by some matrix inequalities which could be solved by a proposed iterative algorithm based on the linear matrix inequality technique. Finally, a numerical example is presented to show the result.

关键词： Robust control control systems Vehicles Steering systems Nonlinear control systems Nonlinear systems Robust stability Linear matrix inequalities Industrial control Approximation methods

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