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A novel fingerprint recognition algorithm using 2DPCA and RBFNN

Journal of Information and Computational Science 2009年第4期6卷 1899-1906页

作者： Ni, Jianyun Xu, Qinmin Lei, Ming Luo, Jing Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Tianjin University of Technology Tianjin 300191 China School of Electrical Engineering Tianjin University of Technology Tianjin 300191 China School of Computer Science and Technology Tianjin University of Technology Tianjin 300191 China College of Electrical Engineering and Automation Tianjin Polytechnic University Tianjin 300160 China

Fingerprint recognition algorithm based on minutiae has large computation, slow recognition speed as a result of complex processing, such as image enhance, smooth, binary, and thinning. A novel fingerprint recognition algorithm Using 2DPCA(Two-Dimensional Principal Component Analysis) has been proposed in this paper. Firstly, original images are decomposed into high-frequency and lowfrequency components with the help of Wavelet Transform (WT), and high-frequency components are ignored, so the prime features of original images can be attained. Secondly, the projected features are solved by 2DPCAFinallyfingerprint recognition can be realized by Radial Basis Function Neural Network (RBFNN). The algorithm combines the optimization of the 2DPCA and the adaptability of RBFNN. The experimental results based on FVC2002 have verified that the proposed algorithm has higher robustness to the fingerprint images which has the change of shift and rotation and light than IDFFWNN. © 2009 Binary Information Press.

关键词： Wavelet transforms

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Partial feedback control of quantum systems using probabilistic fuzzy estimator

Partial feedback control of quantum systems using probabilis...

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IEEE Conference on Decision and control

作者： Chunlin Chen Gerasimos G. Rigatos Daoyi Dong James Lam State Key Laboratory for Novel Software Technology Nanjing University China Unit of Industrial Automation Industrial Systems Institute Rion Greece State Key Laboratory of Industrial Control Technology Zhejiang University and the School of Engineering and Information Technology University of New South Wales Canberra ACT Australia Department of Mechanical Engineering University of Hong Kong Hong Kong China

ISBN: (纸本)9781424438716

A partial feedback control scheme with a probabilistic fuzzy estimator (PFE) is presented for the robust control of quantum systems. In this scheme, a probabilistic fuzzy simulator is trained to estimate the quantum states for feedback control of quantum systems. Usually, the estimated state is fed back to design a controller. However, when the estimated quantum state is an almost-eigenstate, a projective measurement will be triggered for the quantum system and the measurement results will be fed back to construct the controller and regulate the fuzzy estimator. This scheme is a partial feedback strategy with controlled discontinuous measurement, where the quantum measurement serves as a control tool and is helpful for driving the quantum system to a desired state tracking even in the presence of unknown disturbances and stochastic noises. An example of a two-spin-¿ system is also presented to demonstrate the proposed approach.

关键词： Feedback control Fuzzy control Fuzzy systems State estimation control systems Noise measurement Robust control State feedback Stochastic systems Stochastic resonance

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Robust adaptive control for uncertain systems with discrete and distributed delays

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控制理论与应用（英文版） 2008年第3期6卷 287-292页

作者： Qing ZHU Shumin FEI Tao LI Tianping ZHANG Key Laboratory of Measurement and Control of Complex Systems of Engineering School of Automation Southeast University Nanjing Jiangsu 210096 China College of Information Engineering Yangzhou University Yangzhou Jiangsu 225009 China

In this paper, a robust adaptive control scheme is proposed for the stabilization of uncertain linear systems with discrete and distributed delays and bounded perturbations. The uncertainty is assumed to be an unknown continuous function with norm-bounded restriction. The perturbation is sector-bounded. Combining with the liner matrix inequality method, neural networks and adaptive control, the control scheme ensures the exponential stability of the closed-loop system for any admissible uncertainty.

关键词： Time-delay systems Robust control Adaptive control Neural networks Global exponential stability Linear matrix inequalities

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A numerical boundary integral method for cross-sectional distribution of gas/water two phase flows

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Journal of Physics: Conference Series 2009年第1期147卷

作者： Y Y Xu F Dong C Tan Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 CHINA

A clearer understanding of two-phase flows requires getting the distribution of gas/water two-phase flows non-invasively. A numerical method to get the cross-sectional distribution of gas/water two-phase flows, via acquiring the common boundary of the two domains, is presented. This approach is based on the boundary integral equations reduced from Green's formula and their derivatives, considering that the gas phase is isolating and the conductivity of water phase is known. The forward problem is solved by boundary element method, which shows considerable accuracy but much smaller matrix size compared with finite element method. The boundary integral equations with non-smooth boundaries are discreted, and their Frechet derivatives are linearized. An iterative method is adopted, and the initial guess is estimated with the aid of the Linear Back Projection Algorithm for electrical resistance tomography. Numerical results show that the method can locate the gas bubbles and determine their shape effectively. Residual error is defined to investigate the convergence processes. In the anterior steps, the processes converge more quickly for fewer elements; while in the posterior steps more mesh elements are needed to get better results. Element increment contributes to decrease the final residual errors, but it tends to be faint when the number of elements is considerably large.

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Comparison of differential pressure model based on flow regime for gas/liquid two-phase flow

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Journal of Physics: Conference Series 2009年第1期147卷

作者： F Dong F S Zhang W Li C Tan Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 CHINA

Gas/liquid two-phase flow in horizontal pipe is very common in many industry processes, because of the complexity and variability, the real-time parameter measurement of two-phase flow, such as the measurement of flow regime and flow rate, becomes a difficult issue in the field of engineering and science. The flow regime recognition plays a fundamental role in gas/liquid two-phase flow measurement, other parameters of two-phase flow can be measured more easily and correctly based on the correct flow regime recognition result. A multi-sensor system is introduced to make the flow regime recognition and the mass flow rate measurement. The fusion system is consisted of temperature sensor, pressure sensor, cross-section information system and v-cone flow meter. After the flow regime recognition by cross-section information system, comparison of four typical differential pressure (DP) models is discussed based on the DP signal of v-cone flow meter. Eventually, an optimum DP model has been chosen for each flow regime. The experiment result of mass flow rate measurement shows it is efficient to classify the DP models by flow regime.

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Flow rate measurement of oil-water two-phase flow based on V-cone flow meter

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Journal of Physics: Conference Series 2009年第1期147卷

作者： F Dong C Tan W Li F S Zhang Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 CHINA

In petroleum industry, oil-water two-phase flow widely exists in production wells, and the measurement of oil-water flow is significant in oil well logging. One method in common use is to build a theoretic model to connect differential pressures generated by a throttling set with flow-rate. Several measuring models were adopted and compared for model selection and modification. A V-cone with 0.65 diameter ratio was selected as the throttling set because of its special structure and intrinsic advantages. In the experiments, the differential pressures measured under different flow range were processed with a homogeneous flow model. And the results show that the error is small in the condition where the oil and water are well mixed, while the error is big when they are not well mixed. A polynomial of the error and the water percentage was fitted to improve the model accuracy and widen the measurement range.

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A method for bubble volume calculating in vertical two-phase flow

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Journal of Physics: Conference Series 2009年第1期147卷

作者： H Y Wang F Dong Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering & Automation Tianjin University Tianjin 300072 CHINA

The movement of bubble is a basic subject in gas-liquid two-phase flow research. A method for calculating bubble volume which is one of the most important characters in bubble motion research was proposed. A suit of visualized experimental device was designed and set up. Single bubble rising in stagnant liquid in a rectangular tank was studied using the high-speed video system. Bubbles generated by four orifice with different diameter (1mm, 2mm, 3mm, 4mm) were recorded respectively. Sequences of recorded high-speed images were processed by digital image processing method, such as image noise remove, binary image transform, bubble filling, and so on. then, Several parameters could be obtained from the processed image. Bubble area, equivalent diameter, bubble velocity, bubble acceleration are all indispensable in bubble volume calculating. In order to get the force balance equation, forces that work on bubble along vertical direction, including drag force, virtual mass force, buoyancy, gravity and liquid thrust, were analyzed. Finally, the bubble volume formula could be derived from the force balance equation and bubble parameters. Examples were given to shown the computing process and results. Comparison of the bubble volume calculated by geomettic method and the present method have shown the superiority of the proposed method in this paper.

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Adaptive control for a class of discrete-time time-delay systems with regard to delay parameter

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Journal of systems engineering and Electronics 2009年第1期000卷

作者： Chai Lin Cheng Ming Fei Shumin Zhai Junyong Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of Automation Southeast Univ. Nanjing 210096 P. R. China School of electrics Southeast Univ. Nanjing 210096 P. R. China School of electrics Southeast Univ. Nanjing 210096 P. R. China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of Automation Southeast Univ. Nanjing 210096 P. R. China

The memory state feedback control problem for a class of discrete-time systems with input delay and unknown state delay is addressed based on LMIs and Lyapunov-Krasovskii functional method. Under the action of our designed adaptive control law, the unknown time-delay parameter is included in memory state feedback controller. Using LMI technique, delay-dependent sufficient conditions for the existence of the feedback controller are obtained. Finally, the effectiveness of the proposed design method is demonstrated by a numerical example.

关键词： discrete-time time-delay systems adaptive control linear matrix inequality.

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Behaviour reasoning and tracking for mobile objects based on projection and occlusion ratios

Behaviour reasoning and tracking for mobile objects based on...

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2008 Chinese Conference on Pattern Recognition, CCPR 2008

作者： Lu, Hong Fei, Shumin Zhang, Tao Li, Tao Zheng, Jianyong School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Nanjing 210096 China School of Automation Nanjing Institute of Technology Nanjing 211167 China School of Electrical Engineering Southeast University Nanjing 210096 China

ISBN: (纸本)9781424423163

Object states estimation and data association are main facets of multi-object tracking. Under complex situations, one object often grouped with others, or occluded by other objects or background, which can increase the difficulty in data association and behaviour reasoning, and even result in being hard to maintain track. To cope with these problems, a new behaviour reasoning and tracking method is proposed. A scene mode is built firstly simulating public transport environment. Then, Kalman filter is used to estimate the object position and bounding box. Then, the center-association based projection ratio and region-association based occlusion ratio are defined and combined to reason and classify object behaviours. Finally, an adaptive tracking scheme aiming at special behaviours (e.g. merging, and static occlusion) is proposed to validate our reasoning method. Experimental results show that the proposed method is efficient. ©2008 IEEE.

关键词： Kalman filters

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Application of wavelet edge detection in image processing of welding seam

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2008年第SUPPL. 1期36卷 65-67+86页

作者： Gan, Yahui Dai, Xianzhong Li, Xinde Gong, Yefei Key Laboratory of Measurement and Control of Complex Systems of Engreeing School of Automation Southeast University Nanjing 210096 China

The wavelet edge detecting method was introduced to the welding seam image processing in this paper, which can make up the defect of usual edge detecting methods in antinoise ability and precise locating ability. The B spline wavelet was applied to extract the image edge and the similarity distance was defined to compare the extracting results. The contrasting results demonstrate the wavelet edge detection is better than the usual methods, which justified the validity that the wavelet transform can be used efficiently in the welding seam image processing.

关键词： Edge detection

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