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Identity Recognition Based on Face Image

Journal of Physics: Conference Series 2019年第3期1302卷

作者： Chen Qin Xiaobo Lu Pengguo Zhang Huibin Xie Wenbin Zeng School of Automation Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China Zhejiang Uniview Technologies Co. Ltd Zhejiang 310018 China

This article is aimed at designing a human identity recognition algorithm based on face image, which will be used in indoor environment. As the working environment is set as indoor environment, the camera will not be affected much by illumination variation. The key is how to detect human face and handle the variation of facial pose. This article divides the whole recognition process into 4 parts: image pre-processing, face detection, face alignment, feature extraction and comparison. Face detection and feature extraction are the core functions and both realized by deep learning. The process of the whole algorithm can be described as following: images after pre-processing are fed to face detection network to get the locations of face and face landmarks. Then face alignment will be conducted. Finally, deep features of face will be extracted and compared. The unique features of this algorithm are its good performance of handling the variation of facial pose and its clear framework which allows the whole method can be easily adjusted and upgraded.

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A Deep Learning Approach for Vehicle and Driver Detection on Highway

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Journal of Physics: Conference Series 2019年第4期1187卷

作者： Peihua Lv Yang Zhang Xiaobo Lu Di Zhou School of Automation Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China Zhejiang Uniview Technologies Co. Ltd Zhejiang 310018 China

The technology of the detection for vehicle and driver is a popular spot in these ten years. In particular, the driver detection is still a troubled question in the study of public security. In our paper, an algorithm based on YOLOv3 and support vector machine (SVM) is proposed for realizing the detection of vehicles on highway, as well as the detection and binary classification of people in the vehicles, so as to achieve the purpose of distinguishing drivers and passengers and form a one-to-one correspondence between vehicles and drivers. The effectiveness of the algorithm is verified under various complicated highway conditions. Compared with other advanced vehicle and driver detection technologies, the model has a good performance and is robust to road blocking, different attitudes and extreme lighting.

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Multi-dimensional Taylor Network Optimal control of Aircraft Flight

Multi-dimensional Taylor Network Optimal Control of Aircraft...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Chun-Peng Hu Hong-Sen Yan Yu Zhou School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

This paper will introduce the design of the multidimensional Taylor network(MTN) optimal control in the flight control of aircraft. The MTN optimal control, which combines the classical architecture o

ISBN: (纸本)9781467389808

关键词： Aircraft control Multi-dimensional Taylor network (MTN) controller Attitude control Simulation Aircraft control attitude control Air Travel network optimization simulating Classical architecture Taylor flight control(aircraft) Feedback control systems Optimal control Stability analysis

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Moving Vehicle Detection with Shadow Elimination Based on Improved ViBe Algorithm

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Journal of Physics: Conference Series 2019年第2期1302卷

作者： Xue Xia Xiaobo Lu Yichao Cao Shudong Xia Changqing Fu School of Automation Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China Beijing PKU Trans Info Technology Co. Ltd Beijing 100193 China

Moving vehicle detection based on video processing has been widely used in intelligent transportation system recently. However there are also many problems, such as dynamic background, ghost region, and shadow of moving objects. This paper proposes an improved ViBe object detection algorithm. First, an accurate background image is obtained by using the multi-frame averaging method, and then the background model is initialized by this accurate background image, thus effectively reducing the generation of ghost region. Whenever there is no moving object for a fixed number of consecutive frames in the video, this frame is updated to the background image. Conservative update strategy and foreground point counting method are adopted to update the background and reduce the impact of dynamic background on the foreground detection. Next, the foreground image detected by improved ViBe algorithm is input into the shadow elimination method proposed in this paper. Shadows in foreground pixels are detected in RGB color space, and then the pixels determined as shadows are eliminated. Finally, accurate moving vehicles are obtained. Our algorithm can effectively eliminate the shadows of moving vehicles, quickly adapt to background changes and illumination mutation, and get accurate moving objects, which is helpful for vehicle contour extraction and subsequent image processing.

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Applicability analysis of bidding strategy in electricity market 3

Applicability analysis of bidding strategy in electricity ma...

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3rd International Conference on Mechanical, Electronic and Information Technology engineering, ICMITE 2017

作者： Zhou, Suyan Chen, Fei Qiao, Yahui Zhang, Wenzhe Zhang, Kaifeng Yuan, Kun Dai, Xuemei Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing210096 China Shanxi Electric Power Company Xi'an710082 China Hohai University Nanjing210098 China Chongqing Electric Power Company Chongqing404100 China

With the development of the electricity market, competition has been introduced in the generation side. It is the overall development trend of the electricity market reformulation to optimize the allocation of different resources through bidding. Therefore, it is significant to research the bidding strategies of the generation companies and the large consumers. This paper reviews the existing research methods of bidding strategy. According to the different market mechanisms, the market participators will choose different bidding strategies based on their own cases. We analyze the applicability of bidding strategies under the different conditions, and give suggestions on how to select bidding strategy for the different market participators under different conditions. © The Authors, published by EDP Sciences, 2017.

关键词： Power markets

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Global control for a class of inherently nonlinear systems with uncertain measurements

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IFAC-PapersOnLine 2017年第1期50卷 11571-11576页

作者： Zha W. Qian C. Zhai J. Fei S. School of Mechanical Electronic & Information Engineering China University of Mining & Technology (Beijing) Beijing 100083 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China 210096 China Department of Electrical and Computer Engineering The University of Texas at San Antonio San Antonio TX 78249 United States

This paper considers the problem of global stabilization for a class of high-order nonlinear systems whose states cannot be measured accurately and the uncertain parameters occur in the powers of the measurement functions. Based on the notion of homogeneity with monotone degrees (HWMD), the conditions on the uncertain measurement powers that are related to the system powers will be given so that the homogeneous weights and degrees can be determined to guarantee the solvability of this problem. By adopting the adding a power integrator technique, a measurement feedback controller is proposed to globally stabilize the nonlinear system under different sensors with certain conditions. © 2017

关键词： Adding a power integrator homogeneity with monotone degrees inherently nonlinear systems robust control uncertain measurements

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Method of Eliminating Velocity Ripples in Brushless DC Motor Based on Internal Model Principle and Sliding Model control 28

Method of Eliminating Velocity Ripples in Brushless DC Motor...

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第28届中国控制与决策会议

作者： He Shuo-yan Li Shi-hua Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University

ISBN: (纸本)9781467397155

In the practical application,Brushless DC motor(BLDCM) faces various disturbances including parametric uncertainties,load disturbance and unmodeled *** disturbances can be divided into two types of periodic disturbances(sinusoidal/cosinoidal) and aperiodic(slowly-varying or constant) *** ripples can be seen as the result of a plurality of periodic interference signals of different frequencies acting on the *** the paper we propose a composite control scheme combining integral sliding mode control(ISMC) based on disturbance observer(DO) embedded with the internal model principle to improve the speed performance of *** disturbance observer,such as extended state observer(ESO) can only asymptotically estimate slowly-varying or constant disturbances and is not good at estimating periodic *** we combine internal model of disturbance into disturbance observe for high ***,the estimates are introduced in the feedforward compensation,and a composite speed controller is *** last,experimental comparisons with conventional proportional-integral(PI) and ISMC+ESO,are given to validate the effectiveness of the proposed method.

关键词： Brushless DC Motor Internal model principle Steady-state velocity ripple elimination ESO Integral sliding mode control(ISMC) Disturbance observer

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PID2018 benchmark challenge: Model-based feedforward compensator with a conditional integrator ??

arXiv

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arXiv 2018年

作者： Yuan, Jie Ates, Abdullah Dehghan, Sina Zhao, Yang Fei, Shumin Chen, YangQuan School of Automation Southeast University Nanjing210096 China Engineering Faculty Computer Engineering Department Inonu University Malatya44280 Turkey Mechatronics Embedded Systems and Automation Lab University of California MercedCA95340 United States School of Science and Engineering Shandong University Jinan250061 China Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing210096 China

Since proportional-integral-derivative (PID) controllers absolutely dominate the control engineering, numbers of different control structures and theories have been developed to enhance the effciency of PID controllers. Thus, it is essential and inspiring to operate different PID control strategies to the PID2018 Benchmark Challenge. In this paper, a novel control strategy is designed for this refrigeration system, where a feedforward compensator and a conditional integrator are utilized to compensate the disturbances and remove the steady-state error in the benchmark problem, respectively. The simulation results given in the benchmark problem show the straightforward effectiveness of the proposed control structure compared with the existing control methods. Copyright © 2018, The Authors. All rights reserved.

关键词： Disturbance rejection

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A New Processing Method of Infrared Temperature Images in Copper Electrolysis

A New Processing Method of Infrared Temperature Images in Co...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Zhiying Hong Qingling Wang School of Automation Southeast University Nanjing China Ministry of Education Key Laboratory of Measurement and Control of Complex Systems of Engineering Nanjing China

In the copper electrolytic refining process, the short-circuit failure among the electrodes usually exists. When it occurs, the temperature distribution is often abnormal, accompanied by local or overall overheating. This paper proposes a novel processing method for infrared temperature images to effectively detect the short-circuit fault and locate the accurate malfunctioning spots. The design procedure contains contrast enhancement, filter denoising, edge detection, image segmentation, high temperature electrode positioning. Finally, experimental results show that the proposed method can guarantee real-time processing of the infrared image of the electrolytic cell and accurately mark the malfunctioning position of electrodes with high temperature fault.

关键词： Histograms Electrodes Copper Image edge detection Image enhancement Temperature distribution Image reconstruction

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引用

Asian control Conference

作者： Siheng Zong Yu-Ping Tian School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China

ISBN: (纸本)9781509015740;9781509015733

This paper studies the similar formation algorithm of multi-agent systems with biased measurement errors. When relative position measurements contain biased errors, the existing similar formation algorithm is not mean reachable in general. This paper proposes a modified similar formation algorithm with which agents can overcome biased measurement errors online and reach any desired generic formation shape in the expectation sense. The formation error is globally uniformly bounded in the mean square sense.

关键词： measurement errors Position measurement Nickel Topology measurement uncertainty Algorithm design and analysis Eigenvalues and eigenfunctions

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