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IEEE Conference on Decision and Control

作者： Weitao Li Kezhi Mao Tianyou Chai Hong Zhang Hong Wang State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang 110004 China School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore Department of Computing Science University of Alberta Edmonton T6G-2P8 Canada Key Laboratory of Synthetical Automation for Process Industries (Northeastern University) Shenyang 110819 China

ISBN: (纸本)9781612848006

Accurate recognition of burning state is critical in sintering process control of rotary kiln. Recently, flame image-based burning state recognition has received much attention. However, most of the existing methods demand accurate image segmentation, which is quite challenging due to poor image quality caused by smoke and dust inside the kiln. In this study, we develop a more reliable method for burning state recognition without image segmentation issue. From the experience of operators, more discriminable flame and material zones will facilitate the subsequent feature extraction and burning state recognition. Motivated by this knowledge, we propose to include texture analysis based on Gabor filter as a preprocessing to improve the recognition result further and then extract global features based on eigen-flame images decomposition, and finally recognize the burning state using pattern classifier. The advantages of our method are threefold. Firstly, our Gabor filter selection approach can generate a compact filter bank to distinguish ROIs much more and offers help to facilitate the sequel. Secondly, the eigen-flame image method provides global features of an image with large class separability and hence can lead to more accurate classification performance. Thirdly, the new method is more robust and reliable than image segmentation-based methods and temperature-based method. Experimental studies show the effectiveness of our method.

关键词： Gabor filters burning Kilns image segmentation Image quality Rotary kilns

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Efficient dual-armed cluster tool performance via branch and cut optimization algorithm

Efficient dual-armed cluster tool performance via branch and...

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World Congress on Intelligent Control and automation (WCICA)

作者： Liangliang Sun Peter B. Luh Shian-Ching Chiou Shi-Chung Chang Jen-Hsuan Ho Hsin Yuan Chen Ji-Lun Chen Joey Chang Sam Hsu Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University Shenyang China Manufacture computing laboratory University of Connecticut Storrs USA Department of Electrical & Computer Engineering University of Connecticut Storrs CT USA School of electrical engineering National Taiwan University Taipei Taiwan Inotera Memories Inc. Taoyuan Taiwan

Fab is the facility that produces silicon wafers. Capital investment of semiconductor fab has grown to 3-4 billions. Semiconductor equipments' cost per fab may count up to 74% of the capital investment. The semiconductor manufacturing industry is moving towards an efficient cluster approach for semiconductor equipments to create a higher throughput for wafer processing. Physical Vapor Deposition (PVD) is one of the most important processing for wafers' production. To improve fab production, the key issues are to make a near-optimal tool sequence optimization in a computationally efficient manner and be able to assess the quality of the near-optimal results for PVD cluster tools. In this paper, based on the Petri net for the PVD cluster tools, the tool sequence optimization problem is formulated to minimize the makespan of the wafers processing time with the PVD cluster tools, and then the formulation is converted to linear to be solved by the branch-and-cut method in the standard commercial solver CPLEX. Special methods for the linear conversion are highlighted. Effective search strategy, proper time unit and suitable solution gap selection and proper management for the sparse matrix are adopted to reduce the CPU calculation time base on the characteristic of tool sequence optimization problem. Numerical testing demonstrated that the models and algorithms developed can effectively optimize production and improve the quality of fab production.

关键词： Production Optimization Robots Semiconductor device modeling Sparse matrices Firing Analytical models

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A novel kernel discriminant feature extraction framework based on mapped virtual samples for face recognition

A novel kernel discriminant feature extraction framework bas...

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IEEE International Conference on Image Processing

作者： Sheng Li Xiaoyuan Jing David Zhang Yongfang Yao Lusha Bian College of Automation Nanjing University of Posts and Telecommunications Nanjing China State Key Laboratory for Software Engineering Wuhan University of China Wuhan China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong China

In this paper, we propose a novel kernel discriminant feature extraction framework based on the mapped virtual samples (MVS) for face recognition. We calculate a non-symmetric kernel matrix by constructing a few virtual samples (including eigen-samples and common vector samples) in the input space, and then express kernel projection vectors by using mapped virtual samples (MVS). Under this framework, we realize two MVS-based representative kernel methods including kernel principal component analysis (KPCA) and generalized discriminant analysis (GDA). Experimental results on the AR and CAS-PEAL face databases demonstrate that the proposed framework can effectively improve the classification performance of kernel discriminant methods. In addition, the MVS-based kernel approaches have a lower computational cost in contrast with the related kernel methods.

关键词： Kernel Vectors Databases Face Training Feature extraction Face recognition

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Sparse cost-sensitive classifier with application to face recognition

Sparse cost-sensitive classifier with application to face re...

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IEEE International Conference on Image Processing

作者： Jiangyue Man Xiaoyuan Jing David Zhang Chao Lan College of Automation Nanjing University of Posts and Telecommunications Nanjing China State Key Laboratory for Software Engineering Wuhan University of China Wuhan China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong China

Sparse representation technique has been successfully employed to solve face recognition task. Though current sparse representation based classifier proves to achieve high classification accuracy, it implicitly assumes that the losses of all misclassifications are the same. However, in many real-world applications, different misclassifications could lead to different losses. Driven by this concern, we propose in this paper a sparse cost-sensitive classifier for face recognition. Our approach uses probabilistic model of sparse representation to estimate the posterior probabilities of a testing sample, calculates all the misclassification losses via the posterior probabilities and then predicts the class label by minimizing the losses. Experimental results on the public AR and FRGC face databases validate the efficacy of the proposed approach.

关键词： Face recognition Databases Face Image processing Principal component analysis Probabilistic logic Testing

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Adaptive Feedforward Control for Dynamically Substructured Systems Based on Neural Network Compensation

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IFAC Proceedings Volumes 2011年第1期44卷 944-949页

作者： G. Li J. Na D.P. Stoten X. Ren School of Engineering Computing and Mathematics University of Exeter North Park Road Exeter EX4 4QF UK Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming 650093 China Cryogenic System Section Plant Engineering Division ITER Organization St Paul Lez Durance 13115 France ACTLab Department of Mechanical Engineering University of Bristol Queens Building University Walk Bristol BS8 1TR UK School of Automation Beijing Institute of Technology Beijing 100081 China

Abstract The potential applications of dynamically substructured systems (DSS) with both numerical and physical substructures can be found in diverse dynamics testing fields. In this paper, a feedforward adaptive controller based on a neural network (NN) is proposed to improve the DSS testing performance. To facilitate the NN compensation design, a modified DSS framework is developed so that the DSS control can be considered as a regulation problem with disturbance rejection. Then an NN feedforward compensation technique is proposed to cope with uncertainties and nonlinearities in the DSS physical substructure. The proposed NN technique generalizes the existing results in the literature. Real-time experimental results on a mechanical test rig demonstrate the improved performance by using the NN compensation strategy.

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Influence of mounting temperature probes on the excitation winding on its temperature field

Influence of mounting temperature probes on the excitation w...

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19th International Conference on Electrical Machines, ICEM 2010

作者： Hanic, Zlatko Kovačić, Marinko Vražić, Mario Department of Electrical Machines and Automation Faculty of Electrical Engineering and Computing University of Zagreb Croatia

ISBN: (纸本)9781424441754

Accurate and reliable information about the temperature of the synchronous generator excitation winding hot spot is necessary to determine the dynamic limit caused by excitation winding overheating in the PQ diagram. For good estimation of a position and the hot spot temperature it was decided to mount 19 temperature probes on one pole of the 6-pole, 400 kVA, 50 Hz synchronous generator. Due to a large number of the probes and because the probes should be glued with the metal epoxy it was assumed that mounting of the probes will disrupt the temperature field of the excitation winding. To get the answer to this question the excitation winding resistance was measured before and after mounting the probes, in a hot and a cold state. Temperature rise can be estimated if the resistance ratio in the hot and the cold state is known. The paper also addresses the analysis of the measurement accuracy. ©2010 IEEE.

关键词： Temperature

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The analysis of the infrared excitation winding surface temperature measurement on a synchronous hydro-generator in rotation

The analysis of the infrared excitation winding surface temp...

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International Conference on Electrical Machines

作者： Stipetić, Stjepan Kovačić, Marinko Hanić, Zlatko Department of Electric Machines Drives and Automation Faculty of Electrical Engineering and Computing University of Zagreb Croatia

ISBN: (纸本)9781424441754

Excitation winding temperature is used for determination of the dynamic limit in the P-Q diagram of a synchronous generator. The surface temperature of an excitation winding can be measured by an infrared (IR) thermometer. Due to rotation, the IR thermometer absorbs thermal radiation from the excitation winding on the salient pole and from the interpolar space as well. These two surfaces can have different temperature or emissivity, which both affect the amount of the thermal radiation radiated towards the sensor of the IR thermometer. Irradiation read by the sensor is therefore the average irradiation of a rotating rotor. This irradiation results in the temperature that differs from the pole surface temperature. The difference depends on the interpolar space size, emissivity and temperature. The effect of the interpolar space can be cancelled if the IR thermometer is positioned at a certain angle with respect to machine's main axis. Temperature sensors have been mounted on the rotor to measure the excitation winding surface temperature for comparison. ©2010 IEEE.

关键词： Surface temperature

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The control system design of a gantry crane based on H∞ control theory

The control system design of a gantry crane based on H∞ con...

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33rd International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2010

作者： Burul, Ivan Kolonić, Fetah Matuško, Jadranko Department of Electric Machines Drives and Automation Faculty of Electrical Engineering and Computing Unska 3 Zagreb Croatia

ISBN: (纸本)9789532330502

This paper describes a robust controller design procedure based on H ∞ control theory for translational mechatronic system, trolley with pendulum. The goal is to achieve fast trolley positioning with minimization of pendulum swinging. This system, trolley with pendulum, represents gantry crane. Minimization of the load transfer time and load swing angle in the crane applications are conflicting control demands and thus proper control action is required. However, friction effect is unavoidable in mechanical parts of the system and significantly influences the control system performances. In this paper H∞ theory based crane controller is designed in order to minimize friction effect. H∞ controller has been tested and compared with the pole placement controller on a laboratory gantry crane model.

关键词： Pendulums

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Spectral calculation of the output voltage of an inverter with unipolar pulse width modulation

Spectral calculation of the output voltage of an inverter wi...

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33rd International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2010

作者： Mrčela, Ivan Šunde, Viktor Benčić, Zvonko Department of Electric Machines Drives and Automation Faculty of Electrical Engineering and Computing Unska 3 Zagreb Croatia

ISBN: (纸本)9789532330502

Inverters with pulse width modulation are used for connecting DC and AC networks, e.g. in uninterrupted power supply systems, AC electromotor drives, for powering induction furnaces, in audio technique. The output voltage spectrum of inverters with unipolar pulse width modulation in the case of triangular carrier signal contains a harmonic with frequency equal to the frequency of the modulating signal. It also contains harmonics with frequencies equal to the sum of frequency of the modulating signal and a multiple of double the frequency of the carrier signal. Analysis of the inverter's output voltage harmonics was performed in time domain via development of the inverter's output voltage waveform into a sum of periodical waveforms and by calculating spectrums of each individual part. The dependency of the amplitudes and frequency spectra on the wave forms of the carrier signal and modulating signal was demonstrated.

关键词： Fourier series

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Comparison of expected and measured values of luminance sensors in dual-axis photovoltaic positioning system

Comparison of expected and measured values of luminance sens...

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International Conference on Electrical Machines

作者： Petrović, Igor Gašparac, Ivan Vražić, Mario Betatim Pitomaca Croatia Department of Electrical Machines and Automation Faculty of Electrical Engineering and Computing University of Zagreb Croatia

ISBN: (纸本)9781424441754

A dual-axis photovoltaic positioning system has a primary task of directing a PV module towards the optimal light source. The idea of positioning a loop requires proper information on the PV module direction in order to get more insolation, i.e. more energy. The assumption of a proper luminance sensor distribution and position is described in this paper. With this distribution every angle position is described by a unique combination of luminance sensor readings. This paper compares expected readings and measured readings of a real mechanical model. ©2010 IEEE.

关键词： Luminance

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