Conference Program of WCICA 2012

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Conference Program WCICA 2012 discussed. And then, the wavelet transform is used to process echo signals, the low-frequency energy and the high-frequency energy are extracted as characteristics of echo signal in time-frequency domain. At last, a fuzzy pattern recognition algorithm is designed to evaluate the bonding quality of the composite material, it is based on the maximum membership degree principle. Simulation proved that the algorithm can recognize different echo signals quantitatively and effectively. ◁ PSaC-03 A Fast Stereo Matching Algorithm Used in Target Recognition of Mobile Robot, pp.4771–4774 Yu, Naigong Lin, Jia Huang, Can Ruan, Xiaogang Beijing Univ. of Tech. Beijing Univ. of Tech. Beijing Univ. of Tech. Beijing Univ. of Techbnology For the accuracy and real-time requirements of stereo matching when mobile robot recognizes the target, an improved winner-take-all (WTA) algorithm which is based on the parallel binocular system is proposed. First, extract the relatively big difference points between two images as feature points. Then, implement the stereo matching for the feature points using WTA algorithm and only implement a simple verification for nonfeature points. Nonfeature points’disparity values are the ones of neighboring pixel. Finally, obtain a dense disparity map. The extracted feature points focus on the disparity discontinuity regions and the matching accuracy of the algorithm is equivalent to other existing algorithms.But calculation speed of the algorithm is faster and its edge feature is better.So it is a stereo matching algorithm with accurate matching and good real-time. ◁ PSaC-04 Smelting Process Smoke Detection using Multivariate Image Analysis, pp.4865–4868 Zhang, Hongwei Song, Zhihuan Zhejiang Univ. Zhejiang Univ. To solve the problems that available technology was difficult to detect smoke concentration in the smelting process, this paper presented investigations into the smoke detection using multivariate image analysis. Firstly, smoke image matrix was transformed to a new one with single row and high dimension columns. Then the transformed matrix was processed by principal components analysis (PCA) to extract principal components (PCs). Finally, smoke concentration was detected by the two extracted PCs and threshold values. The correlations between PCs and smoke concentration were also identified and analyzed. The results of industrial application show that the proposed method could detect the smoke concentration effectively. ◁ PSaC-05 Optical Flow Estimation with Parameterized Data Term and Warping, pp.4633–4637 Xu, Jintao Feng, Zuren Lu, Na Xi’an Jiaotong Univ. Xi’an Jiaotong Univ. Xi’an Jiaotong Univ. Horn/Schunck approach which has been widely used in variational optical flow estimation consists of a data term and a smoothness term. In this paper, a parameterized data term is proposed. The parameter can adjust the proportion of the two images’gradient for obtaining the Euler-Lagrange equations. This combination makes the optical flow more robust to noise and illumination changes. Firstly, the classic model is analyzed, especially the coefficients of the Euler-Lagrange equations. Then, a model with parameterized data term is proposed. This model has formulated the combination of image gradients theoretically and enabled more flexible combination. Finally, a multi-resolution technology has been used for solving the nonlinearity of optical flow. In this process, the warping step is also parameterized and the influence of the parameter is analyzed. The experiments demonstrate the benefit of our parameterized model to the classical one. ◁ PSaC-06 Hardware Design of The Wireless Automatic Meter Reading System Based on GPRS, pp.4536–4540 Zhang, Ying Univ. of Anshan With the rapid development of computer network and electronic information technology, automatic and intelligent electronic products play roles that can not replaced by people themselves. Reading technology is a new technology that is applied in remote automatic data collection, transmission and processing for water, electricity, gas supply and management system, etc.. Hardware of wireless communication system based on GPRS was designed for remote automatic meter reading in this paper. The module supports UDP communication protocols, and can transmit remote data by the methods of messaging and network communications. ◁ PSaC-07 ANALYSIS OF MULTI-BIOMETRIC ENCRYPTION AT FEA-TURE- LEVEL FUSION, pp.4563–4567 Fu, Bo Univ. of Electronic Sci. & Tech. of China The basic concepts and methods on performance and effectiveness evaluations at the feature-level fusion model of multi-biometric encryption are concentrated on in this paper. From the cryptographic theory point of view, firstly, the formal definitions related to mul-ti-biometric cryptosystems are formulated. Under some extreme conditions, the security and privacy of mul-ti-biometric cryptosystems at the feature level are ana-lyzed and rigorously proved. Finally, a close relationship between security and privacy and the fundamental tradeoff between the accuracy and security are studied. ◁ PSaC-08 Classification Network of Gastric Cancer Construction based on Genetic Algorithms and Bayesian Network, pp.4676–4681 He, Yiheng BeiJing Univ. of Tech. One of the most important link in improves diagnostic accuracy and disease cure rate is accurate classification of disease.The current gene chip’s development and widely applications making the diagnosis based on tumor gene expression profiling expectedto be on a fast and effective clinical diagnostic method. But the sample of gene is small and the expression data is multi-variable. In this article, we uses three data sets on gene expression profiles of gastric cancer for the construction of classification model, First, screened the gene which significantly changed in expression pattern, and use these genes as a set of the feature to reduce the number of variables, and then using genetic algorithms and bayesian network model to build the classifier, the build process uses these three gene expression data to learn classifier. Classification accuracy is calculated by leave-one cross-validation (LOOCV) and it reached 99.8%. Last we use the GO and pathway to analysis the classifier’s network structure. ◁ PSaC-09 Distributional Clustering Using Nonnegative Matrix Factorization, pp.4705–4711 Zhu, Zhenfeng Ye, Yangdong Zhengzhou Univ. Zhengzhou Univ. In this paper, we propose an iterative distributional clustering algorithm based on non-negative matrix factorization (DCMF). When factorizing a data matrix A into CXM, an objective function is defined to impose the conditional distribution constraints on the base matrix C and the coefficient matrix M. It has been observed that, in many applications, the conditional distributions of instances are often employed to normalize the data dimensions. Taking these factors into account, we simplify the existent updating rules and obtain the iterative algorithm DCMF. This algorithm satisfies the constraints described above on condition that the instance matrix is preprocessed as a conditional distribution. DCMF is simple, effective, and only needs to initialize the coefficient matrix. As a result, the base matrix can be viewed as a centroid matrix and the coefficient matrix just records the membership of fuzzy clustering. Compared with several other factorization algorithms, the experimental results on text, gene, and image data demonstrate that DCMF achieves 8.06% clustering accuracy improvement, 35.08% computational time 192
WCICA 2012 Book of Abstracts: Saturday Sessions reduction, and 61.30% hard clustering fuzziness decrease. ◁ PSaC-10 Error Concealment in JPEG2000 Coded Images, pp.4760–4765 Bou Matar, Amjad Memon, Qurban UAE Univ. UAE Univ. In multimedia communication and data storage, compression of data is essential to speed up the transmission rate, minimize the use of channel bandwidth, and minimize storage space. The drawback of compression is that compressed data are more vulnerable to channel noise during transmission. In this work, error concealment methodology is proposed that has the ability of both error detection and concealment, and thus guarantees minimum use of channel bandwidth. The methodology requires transmission of edge information of the original image along with JPEG2000 compressed image. At the receiver, the edge information of received wavelet coefficients is computed and compared with the received edge information of the original image to determine the corrupted coefficients. Three methods of concealment, each including a filter, are investigated to handle the corrupted regions/coefficients. The simulation results conducted on test images for different values of bit error rate are presented to demonstrate the performance of the proposed approach. The objective quality measure such as peak-signal-to-noise ratio (PSNR), root-mean-square error (rms) and subjective quality measure are used to evaluate processed images. ◁ PSaC-11 An Alternative Clustering Algorithm based on IB Method, pp.4791–4796 Lei, Yang Ye, Yangdong Lou, Zhengzheng Zhengzhou Univ. Zhengzhou Univ. Zhengzhou Univ. Alternative clustering aims at exploring another reasonable clustering which is distinctively different from an existing one. This paper presents a novel alternative clustering algorithm based on the IB method, named Alt sIB. Our approach aims to ensure the clustering quality by maximizing the mutual information between clustering labels and data observation, whilst ensuring the clustering distinctiveness by minimizing the information sharing between the two clusterings. We employ a nonparametric MeanNN differential entropy estimator for the mutual information estimation and optimize the objective function iteratively in a sequential way. The experimental results indicate that the proposed Alt sIB algorithm could uncover the reasonable and different clusterings from the dataset efficiently. Compared to the existing NACI algorithm and minCEntropy algorithm, the Alt sIB’s performance is better. ◁ PSaC-12 Bifurcation Control Design for Simplified HH Neuron Model: A Physiological Approach, pp.4953–4956 Li, Huiyan Wang, Jiang Jin, Qitao Deng, Bin Wei, Xile Che, Yan-Qiu Tianjin Univ. of Tech. & Education Tianjin Univ. Tianjin Univ. tianjin Univ. Tianjin Univ. Tianjin Univ. of Tech. & Education Neurons can encode identical stimulus input by generating nonidentical firing patterns of action potential sequence. The different firing patterns are resulting from different bifurcations from the dynamical viewpoint. However, the physiological basis of bifurcation control has not been clear. Here we design a wash-out filter bifurcation control from a physiological view. Then simplified HH model is selected to verify the proposed method. We finally derive the physiological basis of wash-out filter control is affecting the result of competition between currents with different dynamics in the sub-threshold potential. ◁ PSaC-13 Change excitability of Morris-Lecar Model via Physiological Bifurcation Control, pp.4957–4960 Li, Huiyan Wang, Jiang Jin, Qitao Tianjin Univ. of Tech. & Education Tianjin Univ. Tianjin Univ. Deng, Bin Wei, Xile Che, Yan-Qiu tianjin Univ. Tianjin Univ. Tianjin Univ. of Tech. & Education Neurons can encode identical stimulus input by generating nonidentical firing patterns of action potential sequence. The different firing patterns are resulting from different bifurcations from the dynamical viewpoint. Here we design a bifurcation control from a physiological view by employing the wash-out filter. Then Morris-Lecar model is selected to verify the proposed method. We finally derive the physiological basis of wash-out filter control is affecting the result of competition between currents with different dynamics in the sub-threshold potential. ◁ PSaC-14 Realization of Quantum Hadamard Gate Based on Lyapunov Method, pp.5096–5101 Wen, Jie Cong, Shuang Zou, Xubo Univ. of Sci. & Tech. of China Univ. of Sci. & Tech. of China Univ. of Sci. & Tech. of China This paper studies the realization of the quantum Hadamard gate of spin with a single electron. First the canonical form of the unitary rotation gate which is feasibly applied in plane control fields is given. Because the Hadamard gate can’t be realized directly by applying the plane control fields, so the matrix operator of Hadamard gate is decomposed into two matrices which are feasible in canonical forms. These two canonical matrices correspond to the rotate-operation and reflectoperation of the vector coordinates on the Bloch sphere, respectively. Then the Hadamard gate can be realized in two steps by choosing appropriate control fields, in such a way the realization of Hadamard gate becomes to design external tailored control fields. Finally, the control fields are designed based on Lyapunov method. Numerical simulation experiments and results analysis are given. ◁ PSaC-15 Cooperative Game Theoretical Research for Aircraft Deicing Operation Scheduling, pp.2407–2411 Xing, Zhiwei Lian, Guan Civil Aviation Univ. Of China Civil Aviation Univ. of China Aims at the plan and scheduling of aircraft deicing resources in large airports, this paper analyzes the operation and problems of aircraft deicing, and the cooperative game-theoretic analysis method is adopted for the solution of deicing delay that based on the aircraft ground deicing process coalition modeling in this paper. Finally, the Repast software is used for constructing above multi-agent based the coalition model. The domestic departures data of Beijing Capital International Airport is used for simulation experiments. The results show that coalition game model is an effective incentive to airline cooperative behaviour. Validation, fairness and utility of the multi-agent based scheduling model are verified by simulation experiments. The conclusion is provided at last. ◁ PSaC-16 A Kind of Robust Controller for Uncertain Linear System LQ Tracking Problem, pp.2436–2440 Yang, Yang GUO, Chen Shen, Zhipeng Du, Jialu Dalian Maritime Univ. Dalian Maritime Univ. dalian Maritime Univ. Dalian Maritime Univ. In this paper, the problem of linear quadratic tracking with infinite timeinvariant is discussed. The description of matching uncertain linear system is presented and the error equation of the system is established, which can be considered as the general error dynamic system (GEDS). Hence, the tracking problem is transformed into stabilization issue. A kind of robust linear quadratic tracking controller is designed by solving a Riccati inequation which contains the uncertain information with the LMI method. By Lyapnov function, it can be proven that the controller guarantee all signals in the closed loop system robust stable. In addition, a simulation example is provided, which illustrates that the proposed controller results in robust performances to the model perturbation. The effectiveness of the designed control law is verified. The 193
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WCICA 2012 The 10 th World Congress
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