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ACM International Conference on Image and Video Retrieval, ACM-CIVR 2010

作者： Wan, Tao Qin, Zengchang Department of Electrical and Electronic Engineering University of Bristol Bristol BS8 1UB United Kingdom Intelligent Computing and Machine Learning Lab. School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China

ISBN: (纸本)9781450301176

Compressive sensing(CS) has inspired significant interest because of its compressive capability and lack of complexity on the sensor side. In this paper, we present a study of three sampling patterns and investigate their performance on CS reconstruction. We then propose a new image fusion algorithm in the compressive domain by using an improved sampling pattern. There are few studies regarding the applicability of CS to image fusion. The main purpose of this work is to explore the properties of compressive measurements through different sampling patterns and their potential use in image fusion. The study demonstrates that CS-based image fusion has a number of perceived advantages in comparison with image fusion in the multiresolution (MR) domain. The simulations show that the proposed CS-based image fusion algorithm provides promising results. Copyright © 2010 ACM.

关键词： Compressed sensing

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A preliminary study on students' learning experience in an international online synchronous research seminar

A preliminary study on students' learning experience in an i...

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IADIS International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2010

作者： Teng, Daniel Chia-En Leo, Tommaso Kinshuk Chen, Nian-Shing Department of Information Management National Sun Yat-Sen University Kaohsiung Taiwan Department of Computer Science Management and Automation Engineering Università Politecnica Delle Marche Ancona Italy School of Computing and Information Systems Athabasca University Athabasca Canada

ISBN: (纸本)9789728939281

The technology of computer-mediated synchronous communication is getting matured which makes the creation of online synchronous learning ever possible. This study reports a novel experience of holding an international online synchronous research seminar across Canada, Italy, and Taiwan, from March through June, 2010. Sixteen researchers in the field of e-learning were invited as guest speakers, and 12 doctoral students around the globe were participated in this seminar for credits. We present in this article how this online research seminar was organized, what students' learning experiences were, and the lesson we learned from students' feedback. © 2010 IADIS.

关键词： Students

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Independent Cycle Time Assignment for Min-max Systems

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International Journal of automation and computing 2010年第2期7卷 254-260页

作者： Wen-De Chen Yue-Gang Tao Hong-Nian Yu Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 PRC Department of Mathematics Zhengzhou University Henan 450001 PRC Institute of Automation Chinese Academy of Sciences Beijing 100190 PRC Faculty of Computing Engineering and Technology Staffordshire University Stafford ST16 9DG UK

A variety of problems in digital circuits, computer networks, automated manufacturing plants, etc., can be modeled as min-max systems. The cycle time is an important performance metric of such systems. In this paper, we focus on the cycle time assignment of minimax systems which corresponds to the pole assignment problem in traditional linear control systems. For the min- max system with max-plus inputs and outputs, we show that the cycle time can be assigned disjointedly by a state feedback, if and only if the system is reachable. Furthermore, a necessary and sufficient condition for the cycle time to be assigned independently by a state feedback is given. The methods are constructive, and some numerical examples are given to illustrate how the methods work in practice.

关键词： Cycle time coloring graph independent assignment min-max systems state feedback.

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Taking advantage of infrared camera for temperature measurement of asynchronous machines

Taking advantage of infrared camera for temperature measurem...

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Proceedings of the International Convention MIPRO

作者： Hana Kuchynkova Vitezslav Hajek Faculty of Electrical Engineering and Computing Department of Electric Machines Drives and Automation Brno Czech Republic

The paper deals with utilization of infrared camera for temperature measurement of electrical machines. There is described the non-contact temperature measuring, and principle of sensors that evaluate quantity of incident infrared radiation. In the next part there is thermovision camera SAT-HY 6800 presented and the instructional manual for SAT Report computer programme created. This computer programme is used for analyzing of thermovision pictures from the SAT-HY 6800 thermovison camera. The paper contains description of temperature measuring of one-phase asynchronous motor type J22TO484. The last part of the thesis describes creation of animation of one-phase asynchronous motor type J22TO455. The animation is created in 3ds Max computer programme. The results and animation would be used either as addition in daily studies or as the replace of tutorial in combined form of study.

关键词： Cameras Temperature measurement Temperature sensors Animation Area measurement Optical fiber communication Infrared sensors Surface finishing Temperature dependence Temperature distribution

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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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Proceedings of the International Convention MIPRO

作者： Ivan Mrćela Viktor Šunde Zvonko Benčic Faculty of Electrical Engineering and Computing Department of Electric Machines Drives and Automation Zagreb Croatia Department of Electric Machines Drives and Automation Zagreb Republic of Croatia

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： Pulse width modulation inverters Voltage Pulse inverters Pulsed power supplies Frequency modulation Joining processes Furnaces Harmonic analysis Performance analysis Time domain analysis

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Dynamic Modeling with Nonlinear Inputs and Backstepping Control for a Hexarotor Micro-Aerial Vehicle

Dynamic Modeling with Nonlinear Inputs and Backstepping Cont...

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IEEE Latin American Robotics Symposium, LARS

作者： Armando S. Sanca P.J. Alsina Jes de Jesus F. Cerqueira Computing Engineering and Automation Department Federal University of Rio Grande do Norte Natal RN Brazil

In this paper the hexarotor dynamic model with nonlinear inputs and full state back stepping technique is presented. Dead zone and saturation nonlinear inputs are considered reflected to the rotors. The goal is to obtain a faithful mathematical representation of the mechanical system for analysis and control design, not only in hover, but also in motion when take-off, land and flight for aerial navigation tasks. The model was implemented in Matlab/Simulink to optimize the design of control system. Simulations of the hexarotor model shows the performance of the control law and stabilizes with good tracking.

关键词： Rotors Vehicles Torque Backstepping Blades Mathematical model Aerodynamics

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Power quality disturbances classification using specialized neural networks

Power quality disturbances classification using specialized ...

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International Conference on Harmonics and Quality of Power

作者： Cerqueira, Augusto S. Ferreira, Danton D. Pinto, Marcia B. S. Salmento, Marlon L. G. De Seixas, José M. Department of Electrical Circuits Federal University of Juiz de Fora Juiz de Fora MG 36036000 Brazil Automation and Control Engineering Federal University of Lavras Lavras MG 432434 Brazil Department of Electrical and Computing Engineering Federal University of Rio de Janeiro Rio de Janeiro RJ 300300 Brazil

ISBN: (纸本)9781424472444

This work presents an automatic classification system for power quality disturbances based on specialized neural networks. The proposed system is capable to classify multiple disturbances, which is very important in some power systems scenarios. A system was designed and tested with synthetic signals generated by software and the global efficiency achieved was 98.9%. The system was also evaluated with real data achieving good results. ©2010 IEEE.

关键词： Software testing

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Two-dimensional neighborhood discriminant projection

Two-dimensional neighborhood discriminant projection

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Zhang, Shan-Wen Lei, Ying-Ke Huang, De-Shuang Intelligent Computing Lab. Hefei Institute of Intelligent Machines Chinese Academy of Sciences P.O.Box 1130 Hefei Anhui 230031 China Department of Automation University of Science and Technology of China Hefei 230027 China Department of Information Electronic Engineering Institute Hefei 230037 China

ISBN: (纸本)9781424469178

Classical linear dimensional reduction algorithms, such as Linear Discriminant Analysis (LDA) and Locality Preserving Projections (LPP) have been widely used in computer vision and pattern recognition. However, when dealing with the multidimensional dataset, they usually first transform the original data to vectors, and then analyze the data in such a high dimensional space. This process inevitably results in some obvious disadvantages. This paper proposes a novel two-dimensional dimensionality reduction algorithm called 2D Neighborhood Discriminant Projection (2D-NDP), which is based directly on 2D image matrices rather than 1D vectors. 2D-NDP detects the intrinsic class-relationships between the images by incorporating both class label information and neighborhood information. It can optimally preserve not only the local class information but discriminant information as well. Under the orthogonal constrain, 2D-NDP is developed as orthogonal 2D-NDP for classification. Experiments on the face database and the plant leaf database demonstrate that orthogonal 2D-NDP is effective and feasible for classification. © 2010 IEEE.

关键词： Discriminant analysis

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Orthogonal linear local spline discriminant embedding for face recognition

Orthogonal linear local spline discriminant embedding for fa...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Lei, Ying-Ke Hu, Rong-Xiang Tang, Lei Zhang, Shan-Wen Huang, De-Shuang Intelligent Computing Lab. Hefei Institute of Intelligent Machines Chinese Academy of Sciences P.O.Box 1130 Hefei Anhui 230031 China Department of Automation University of Science and Technology of China Hefei 230027 China Department of Information Electronic Engineering Institute Hefei 230037 China

ISBN: (纸本)9781424469178

In this paper, an efficient feature extraction algorithm called orthogonal linear local spline discriminant embedding (O-LLSDE) is proposed for face recognition. Derived from local spline embedding (LSE), O-LLSDE not only inherits the advantages of LSE which uses local tangent space as a representation of the local geometry so as to preserve the local structure, but also makes full use of class information and orthogonal subspace to improve discriminant power. Extensive experiments on standard face databases demonstrate the effectiveness of the proposed method. © 2010 IEEE.

关键词： Face recognition

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Dimensionality reduction based on minimax risk criterion for face recognition

Dimensionality reduction based on minimax risk criterion for...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Tang, Lei Lei, Ying-Ke Zhu, Lin Huang, De-Shuang Intelligent Computing Lab. Hefei Institute of Intelligent Machines Chinese Academy of Sciences P.O.Box 1130 Hefei Anhui 230031 China Department of Automation University of Science and Technology of China Hefei 230027 China Department of Information Electronic Engineering Institute Hefei 230037 China

ISBN: (纸本)9781424469178

In the field of pattern recognition and machine learning, many problems are involved in the tasks of dimensionality reduction and then classification. In this paper, we develop an efficient dimensionality reduction method named MiniRisk Supervised Discrimiant Projection (MRSDP), which extracts effective low-dimensional features for classification purpose. The proposed method utilizes discriminant information to guide the procedure of extracting intrinsic low-dimensional features and provides a linear projection matrix. Since MRSDP is based on minimax risk criterion, it can minimize the maximal probability of misclassification in the common borders of different classes of data by contracting within-class scatter and maximizing between-class scatter. The advantage of our method is borne out by comparison with other widely used methods. In the experiments on Yale face database and ORL face database, our method achieves constantly superior performance than those competing methods. © 2010 IEEE.

关键词： Face recognition

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