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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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A Two-layer Adaptive control Strategy for Photovoltaic Power in Different Scenarios 3

A Two-layer Adaptive Control Strategy for Photovoltaic Power...

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3rd International Conference on Energy engineering and Power Systems, EEPS 2023

作者： Wan, Yanghui Yan, Jiahao Chu, Tianfeng Li, Yaping Yuan, Kun Zhang, Kaifeng Southeast University Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education Nanjing China Power Automation Department Nanjing China State Grid Liaoning Electric Power Co. Ltd. Electric Power Research Institute Shenyang China

ISBN: (纸本)9798350313857

Currently, control strategies for distributed photovoltaic (PV) power generation are relatively single and rigid, and cannot flexibly adapt to the diverse demands of power grids in different scenarios. Firstly, this paper analyzes the adaptive relationship between different dispatching demands, the regulation ability of distributed PV, and the characteristics of the local voltage. Secondly, for different scenarios, the coordinated controller determines the reference values of active power and reactive power given to the inverter. Thus, distributed PV power control modes which can adapt to different scenarios have been established. Then, these control modes can be classified into single control modes and compound control modes according to the complexity of scenario demands. On this basis, a specific two-layer adaptive control strategy and process of distributed PV power generation in a low-voltage distribution network are further proposed, which takes into account both external demands of the distribution network and the regulation ability of distributed PV. Finally, a case study is given to verify the rationality and effectiveness of the two-layer adaptive scenarios control strategy. This strategy can effectively improve the comprehensive support ability of distributed PV power generation towards the power grid in multiple scenarios, and improve the stable operation level of the regional power grid. © 2023 IEEE.

关键词： Reactive power

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control of Upper-Limb Power-Assist Exoskeleton Based on Motion Intention Recognition

Control of Upper-Limb Power-Assist Exoskeleton Based on Moti...

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2011 IEEE International Conference on Robotics and automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

作者： Yongji Wang Jian Huang Weiguang Huo Jun Wu Lei Cheng Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Technol Engineering Research Center of Metallurgical Automation and Measurement Technology Ministry of Educa

Recognizing the user motion intention plays an important role in the study of power-assist robots. An intention-guided control strategy is proposed for the upper-limb power-assist exoskeleton. A force sensor system comprised of force sensing resistors (FSRs) is designed to online estimate the motion intention of user upper limb. A new concept called “intentional reaching direction (IRD)” is proposed to quantitatively describe this intention. Both the state model and the observation model of IRD are obtained by enumerating the upper limb behavior modes and analyzing the relationship between the measured force signals and the motion intention. Based on these two models, the IRD can be online inferred by applying filtering technology. Guided by the estimated IRD, an admittance control strategy is assumed to control the motions of three DC motors in the joints of the robotic arm. The effectiveness of the proposed approaches is finally confirmed by the experiments on a 3-DOF robotic exoskeleton.

关键词： Joints Exoskeletons Force Humans Robot sensing systems Jacobian matrices

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A soft sensor development for the estimation of benzene content in catalytic reformate

A soft sensor development for the estimation of benzene cont...

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Proceedings of the International Convention MIPRO

作者： Željka Ujević Andrijić Romano Karlović Boris Žeželj Department of Measurement and Process Control Faculty of Chemical Engineering and Technology Zagreb Croatia Process Automation Rijeka Refinery Kostrena Croatia

As vehicle emission standards become more stringent, there is an increasing need for continual monitoring of benzene content in gasoline. Since the on-line analyzers are often unavailable, and laboratory analyses are infrequently obtained, soft sensors for the estimation of benzene content of light reformate are developed. Soft sensors are developed using system identification methods. Experimental data is acquired from the refinery distributed control system (DCS) and include continuously measured variables and analyzer assays available on-line. In the present work, the development of a Finite Impulse Response (FIR) model, an Output Error (OE) model and an Auto-Regressive Model with Exogenous Inputs (ARX) model are presented. To overcome the problem of selecting the best model parameters by trial and error, genetic algorithm was used. Based on developed soft sensors, it is possible to entirely replace on-line analyzers with soft sensors by embedding the model in a DCS on-site.

关键词： Mathematical model Finite impulse response filter Predictive models Autoregressive processes Data models Estimation Adaptation models

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