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2012 International Conference on Modelling,Identification and control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Hu Zhang Min Wang Xinhan Huang Key Laboratory of Image Processing and Intelligent Control of Education Department of Control Scienc Key Laboratory of Image Processing and IntelligentControl of Education Department of Control Science Key Laboratory of Image Processing andIntelligent Control of Education Department of Control Science

ISBN: (纸本)9781467315241

Parameters selection of support vector machine is the key issue that impacts its accurate performance.A method for support vector regression machine with standard particle swarm optimization (SPSO) algorithm is proposed in this ***, in order to improve the performance of the SPSO algorithm, the concept of the particles’ average distance and fitness variance is proposed to make the efficiency of algorithm ***, the improve algorithm was also applied in this *** two different models using SPSO and IPSO respectively were used to forecast the density of the acid-lead battery *** experimental results indicate that both SPSO and IPSO have high prediction accuracy and *** time of the parametric searching by IPSO is obviously decreased to that of *** mean squared error (MSE) of the prediction model using SPSO is about 2.02056×10-4, Meanwhile, the MSE of the model using IPSO is only about 1.9324×***, the IPSO algorithm has more superior performance on convergence speed and global optimization.

关键词： support vector regression particle swarm optimization average particle distance fitness variance

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A Novel Small Dim Infrared Target Detecting Method based on Grayscale Merging and Connected Components Analysis

A Novel Small Dim Infrared Target Detecting Method based on ...

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2012 International Conference on Modelling,Identification and control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Ying Zhang Min Wang Shaoqing Niu Key Laboratory of Image Processing and Intelligent Control of Education Department of Control Scienc Key Laboratory of Image Processing and IntelligentControl of Education Department of Control Science Key Laboratory of Image Processing andIntelligent Control of Education Department of Control Science

Target detecting algorithm in infrared image is drawing extensive attention both at home and abroad, expecially when the infrared images own complex backgrounds and low *** to make sure of the accuracy of infrared dim-small target detecting is the key point during the processing *** this paper, a novel region of interest detecting algorithm is proposed for aerial small dim infrared target with clutter *** from traditional region of interest extraction method, we extract region of interest based on the grayscale merging algorithm and connected components analysising ***, the infrared image is reconstructed by separating the grayscale into several interval sections, then binarization is used to segment the processed image according to estimate the threshold value using minimum error probability;finally, analysis and select the connected components, to sift the accurate connected domain which contain the *** validity of the proposed approach is demonstrated by experiment of infrared target region extraction.

关键词： Infrared small-dim target object detection connected component minimum error probability

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Study on landslide deformation prediction based on recurrent neural network under the function of rainfall

Study on landslide deformation prediction based on recurrent...

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19th International Conference on Neural Information processing, ICONIP 2012

作者： Chen, Huangqiong Zeng, Zhigang Tang, Huiming Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074 China Faculty of Engineering China University of Geosciences Wuhan Hubei 430074 China

ISBN: (纸本)9783642344770

Landslide deformation prediction has significant practical value that can provide guidance for preventing the disaster and guarantee the safety of people's life and property. In this paper, a method based on recurrent neural network (RNN) for landslide prediction is presented. The results show that the prediction accuracy of RNN model is much higher than the feedforward neural network model for Baishuihehe landslide. Therefore, the RNN model is an effective and feasible method to further improve accuracy for landslide displacement prediction. © 2012 Springer-Verlag.

关键词： Recurrent neural networks

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Propagation effects of low frequency electromagnetic waves in production well

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Petroleum Science 2012年第2期9卷 182-191页

作者： Song Xijin Guo Baolong Dang Ruirong Wang Xuelong Institute of Intelligent Control and Image Engineering Xidian UniversityShaanxi 710071China Key Laboratory of Photoelectric Logging and Detecting of Oil and Gas Ministry of EducationXi'an Shiyou UniversityShaanxi 710065China College of Computer Science&Technology Shaanxi University of TechnologyShaanxi 710048China

The frequency domain electromagnetic method has already been widely used for tomographic imaging or electromagnetic well logging. However, different from open hole logging, the metal casing existing in production well logging has a strong shielding effect on the electromagnetic waves, thus bringing some difficulties to the application of the frequency domain electromagnetic method in production well logging. According to the relation of the field source geometry to the ring around the mandrel, the general expressions of frequency domain electromagnetic responses in axially symmetrical layered conductive medium are deduced. The propagation effects caused by the low-frequency electromagnetic waves in cased hole are also analyzed. The distribution curves of eddy current density and magnetic flux density along the radial direction in the mandrel indicate that the eddy loss within the mandrel is proportional to the transmission signal frequency and the mandrel conductivity. The secondary field responses of different casing materials show that the transmission frequency has an important effect on the ability of electromagnetic waves penetrating the metal casing. The transmission frequency should be ultra-low in order to enable the electromagnetic signal to penetrate the casing easily. The numerical results of frequency responses for different casing physical parameters show that the casing thickness has a significant impact on the choice of the transmission frequency. It is also found that the effect of the casing radius on the transmission frequency can be neglected.

关键词： Propagation effects eddy current density magnetic flux density production well frequency response

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Research of input decouple method of re-entry aircraft

Research of input decouple method of re-entry aircraft

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2012 International Conference on Modelling, Identification and control, ICMIC 2012

作者： Ni, Shaobo Shan, Jiayuan Shang, Shuaifeng Aerospace College Beijing Institute of Technology Beijing 100081 China Beijing Institute of Aerospace Automatic Control Beijing 100854 China Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780956715715

Re-entry aircraft depends on aerodynamic force during flight. Because of windward rudder and lee rudder, there certainly exists aerodynamic coupling among pitch channel, yaw channel and roll channel under the situation of large attack angle and slip angle, and behaves couplings of inputs and states. This paper proposed decouple control of inputs aiming at the coupling problem of inputs, and the MIMO problem is transformed to a SISO one. For the SISO problem, the coupling of states can be solved by control system design to guarantee system stable and robust. © 2012 Huazhong Univ of Sci & Tec.

关键词： Attitude control

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A novel target tracking approach based on ORB used in micromanipulation system

A novel target tracking approach based on ORB used in microm...

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2012 International Conference on Modelling, Identification and control, ICMIC 2012

作者： Zuo, Lei Huang, Xinhan Zuo, Wen Key Laboratory of Image Processing and Intelligent Control of Education Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China College of Electronical Engineering Naval University of Engineering Wuhan 430033 China

ISBN: (纸本)9780956715715

Micromanipulation robot is a system which often does some precise manipulations in micro scale space, such as centimeter or millimeter level space, in which micro visual servo system plays a very important role. In visual servo system, it's difficult to give consideration to two or more things such as location accuracy and real-time property at the same time. In this paper, we introduced a novel approach which suited our system very well and could meet both of the above requirements. It was called ORB, a novel feature extracting method which outperformed many current excellent methods such as SIFT and SURF. © 2012 Huazhong Univ of Sci & Tec.

关键词： Target tracking

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LPV modeling of the missile attitude control system based on small deviation equation

LPV modeling of the missile attitude control system based on...

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2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011

作者： Ni, Shaobo Wu, Jianwu Shan, Jiayuan Liu, Lei Wang, Yongji Hu, Kun College of Aerospace Beijing Institute of Technology Beijing 100081 China Beijing Institute of Aerospace Automatic Control Beijing 100854 China Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China

With a concern about the missile attitude control system, this paper attempts to solve the online calculation method of the coefficient of the small deviation equation, on which a LFT-based LPV model of the missile at... 详细信息

ISBN: (纸本)9781447124665

关键词： Attitude control

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Asynchronous extended spiking neural P systems with astrocytes

Asynchronous extended spiking neural P systems with astrocyt...

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12th International Conference on Membrane Computing, CMC 2011

作者： Pan, Linqiang Wang, Jun Hoogeboom, Hendrik Jan Image Processing and Intelligent Control Key Laboratory of Education Ministry Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China Leiden Institute of Advanced Computer Science Universiteit Leiden Niels Bohrweg 1 2333 CA Leiden Netherlands

ISBN: (纸本)9783642280238

A variant of spiking neural P systems was recently investigated by the authors, using astrocytes that have excitatory and inhibitory influence on synapses. In this work, we consider this system in the non-synchronized (i.e., asynchronous) mode: in any step, when a neuron is enabled, it is not obligatorily fired, making a global clock dispensable. It is proved that asynchronous spiking neural P systems with astrocytes are universal (when using extended rules). The construction is uniform in the sense that the form of the modules used is independent of the simulated register machine. © 2012 Springer-Verlag.

关键词： Artificial intelligence

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Object recognition using polar Zernike moments for micromanipulation

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Journal of Computational Information Systems 2012年第13期8卷 5303-5310页

作者： Liu, Chang Huang, Xinhan Wang, Min Peng, Gang Key Laboratory of Image Processing and Intelligent Control of Ministry of Education of China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

Multi micro parts recognition is one of the important tasks for the assembly of multi micro objects in micromanipulation. Zernike moments have been widely used as invariant features in many image analysis and pattern recognition problems because of their superiority compared to other moments. However, they suffer from high computation cost and inherent error. This study proposes a polar coordinate based algorithm for the computation of Zernike moments, which improves the invariance properties dramatically. Due to the symmetry property of the Zernike basis functions, Zernike moments can be obtained by computing only one octant of the Zernike basis functions, which means that the number of pixels involved in the computation of Zernike moments is only 12.5% of previous method. This leads to significant reduction in the computational complexity requirements. A comparison with other conventional method is performed in detail. To achieve multi micro parts recognition with higher performance, we present a support vector machine algorithm, which employs polar Zernike moments based on edge extraction to obtain feature attribute to identify and classify the targets. The obtained results show the superiority of the proposed method. © 2011 by Binary Information Press.

关键词： Object recognition

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An Approach with Nested Partition for Resource-Constrained Project Scheduling Problem

An Approach with Nested Partition for Resource-Constrained P...

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2012 IEEE 19th International Conference on Industrial Engineering and Engineering Management(IE&EM 2012)

作者： Zhen-yuan Liu Wen-min Yu Institute of Systems Engineering Huazhong University of Science and Technology Key Laboratory of Education Ministry for Image Processing and Intelligent Control

A time-based nested partition （NP） approach is proposed to solve resource-constrained project scheduling problem （RCPSP） in this paper. In iteration, one activity is selected as the base point of which the finish time interval calculated by CPM is divided into two parts to form two subregions on the basis of the promising region of the last iteration. Then sampling is taken in both subregions and the surrounding region to determine the promising region and aggregate the other as the surrounding region of this iteration so that whether the backtracking or the moving operation being performed is determined. Double justification is also performed in iteration to improve the results. The results of numerical tests on PSPLIB show the effectiveness and time-efficient of the proposed NP method.

关键词： Double justification nested partition RCPSP sampling

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