Conference Program of WCICA 2012

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Conference Program WCICA 2012 Du, Shengzhi Univ. of South Africa This paper demonstrates the relationship between detection errors and resolutions (ρ- and θ- directions) when the Hough Transform (HT) is employed to detect straight segments in images. The inflexion of the error-resolution curve was uncovered. To comprehensively study the location of the inflexion, the effects of several factors are considered, such as the positions (ρ and θ), widths and lengths of straight segments, noise level, and the ratio of resolutions. An error surface according to ρ- and θ- resolutions is obtained in the paper to guide seeking of the best resolutions. The area containing “good” resolution settings is uncovered and modelled. ◁ PSaC-61 Integrating Method Improving HT-Butterfly Based Segment Detection, pp.4921–4925 Du, Shengzhi Tu, Chunling Univ. of South Africa Tshwane Univ. of Tech. This paper addresses an integrating method to be used in segments detection based on Hough Transform (HT) butterflies. The proposed method is employed to detect the edges of butterflies in higher accuracy than the commonly used existing method, and hence improves the performances (the accuracy and robustness) of segment detection. ◁ PSaC-62 A new method of texture synthesis based on gradient structure information searches along a spiral path, pp.4931–4935 Tan, Yongqian Pu, Yuanyuan Qian, Wenhua Xu, Dan Yunnan Univ. Yunnan Univ. Yunnan Univ. Yunnan Univ. Most of the existing texture synthesis algorithms were proposed in the pursuit of the better synthesis quality or quick synthesis speed, but they could not satisfy requirements at the same time. In this paper, a new texture synthesis algorithm is presented. It adopts the color and the gradient as the similarity measurement of between the two matching patch, which improves their similarity extent. Moreover, a spiral-path searching method is used to search the best texture matching patches and the synthesis time can be decreased dramatically. The experiment results show that not only the synthesis speed is rapider t in great degree, but also the synthesis quality is improved. ◁ PSaC-63 Mechanical Model of Wheat and Vibration Analysis, pp.4965–4968 Xu, Qicheng Sun, Changchun Sun, Yazhen shenyang jianzhu Univ. Shenyang Jianzhu Univ. shenyang jianzhu Univ. By using multi-freedom systems vibration theory, the mechanical model of wheat lodging resistance is established, the wheat lodging moment formula is deduced under the wind load. Considering the soil characteristics and the wheat root distribution, the wheat moment of lodging resistance is deduced, The moment the size of these two can predict whether wheat is lodging,Vibration mode analysis explain the reasons for the differences of the different varieties of wheat lodging resistance. Wheat numerical examples verify the rationality and practicality of the model. ◁ PSaC-64 IMPROVED DEMPSTER AND SHAFER THEORY TO FUSE REGION AND EDGE BASED LEVEL SET FOR ENDOCARDIAL CONTOUR DE- TECTION, pp.5013–5018 Gu, Jason Dalhousie Univ. Data fusion is an important tool for improving the performance of a detection system when more than one classifier is available. The reasoning logic of Dempster-Shafer evidence theory for fusion is similar to that of humans. This paper discusses application of a data fusion method which is based on improvements to the Dempster-Shafer theory, to e- chocardiographic images in order to increase the detection accuracy of the endocardial contours. In this paper, edge and region based level sets are implemented. The Improved Dempster-Shafer evidence fusion algorithm is applied to combine the detected contours resulting in promising results as shown by computational experiments. ◁ PSaC-65 Noise Reduction of sEMG in SVD Based on Neural Network, pp.5035– 5039 Zhang, Li Li, Yang Xu, Zhuojun Tian, Yantao Jilin Univ. Jilin Univ. NangLing, school of communication engineering Jilin Univ. Jilin Univ. According to the characteristic that the surface electromyogram signal (sEMG) is very weak and influenced by noise vulnerability, this paper proposes a new method that uses the unsupervised Kohonen neural network weights optimized to determine the order of the reconstruction matrix during the process of the noise reduction in singular value decomposition (SVD) effectively. First, let the sEMG collected through the Butterworth band-stop filter to remove 50Hz power line interference. Then use the SVD to deal with the signal filtered. To make use of the characteristic of the noise platform is gently and centralized of the singular value spectrum of the signal with noise. Through the projection on longitudinal axis in spectrum, we apply the Kohonen network optimized to confirm the boundaries of the noise platform, and then to determine the effective order of the reconstruction matrix. Simulation results show that this method achieve the noise reduction of sEMG preferably. ◁ PSaC-66 A New Method for Perturbation Experimental Design in Gene Regulatory Network Identification, pp.5090–5095 Wang, Xin Acad. of Mathematics & Sys. Sci., Chinese Acad. of Sci. Inferring gene regulatory networks by high-throughput data is a fundenmental problem in systems biology. The interactions between genes, proteins and other small molecules are typically described by gene regulatory networks, which are nonlinear and sparce. We linearize the nonlinear system of the segmentation polarity network of Drosophila melanogaster and infer the interaction between genes in the network by perturbation experimental data. The genes expression level are measured by microarray experiments. we calculate the parameters’ changes forced by inputs of the experiment, and give a new method for experimental design in which the inputs facilitate precise estimation of the parameters. All the data in calculation is simulated in silico. ◁ PSaC-67 A wireless data acquisition system designed for greenhouse based on ZigBee, pp.4405–4408 Li, Peng Wu, Yunjie Beihang Univ. Beihang Univ. This paper studies the design of a wireless data acquisition system applied in greenhouse by building a wireless sensor network based on ZigBee. The system includes acquisiton terminals, routing nodes, an ethernet gateway and a server. The terminals are solar powered with no external power supply, which can be flexibly deployed. Through multiple sensors connected to it, the system can collect the environmental information, including both the temperature and humidity of the air and the soil, the concentration of the carbon dioxide and the intensity of the illumination etc., and then transmits the collected data to the server for further query and analysis, which provides the reliable data support for the cropping. Currently, the system has been successfully assembled and operates properly in the agricultural field of Beijing, Hebei, Shandong, Inner Mongolia and many other provinces and cities in China. ◁ PSaC-68 An Improved Median Filter Algorithm Based On Light Sensor, pp.4414– 4417 Yu, Jianjun Wang, Guanwei College of Electronic Information & Control Engineering, Beijing Univ. of Tech. Beijing Univ. of Tech. 200
WCICA 2012 Book of Abstracts: Saturday Sessions Yang, Qiong Beijing Univ. of Tech. Based on the sensitive character of light sensor, the paper applied the median filtering algorithm which was used for two-dimensional image process on the filtering of one-dimensional sensor signal and improved the algorithm with adding a determine step about heavy interference signal. The research showed that the miss-rate and the false-rate of improved median filtering algorithm are 0 and the deviate-rate decent to 0.2% from 5.1% in classic median filtering algorithm. Therefore, the improved median filtering algorithm can not only contain the advantages of classic median filtering algorithm, but also filter the heavy interference signal efficiently. The algorithm was better in eliminating the noise and keeping the real signal. ◁ PSaC-69 The Anti-interference analysis and design for Mode S reply Communication of Integrated TCAS, pp.4467–4471 Huang, Yi Shi, ZhongKe Northwestern Polytechnical Univ. Northwestern Polytechnical Univ. Abstract―In order to effectively improve the reliability of Mode S reply communication of integrated TCAS, the anti-interference analysis and design for the communication circuit and receiving process are provided in this paper. The algorithms of preamble detection, DF-authentication, confidence detection of bit are realized by state machines and counters which were written with VHDL to improve the fault-tolerance. Antiinterference analysis and design for filter, modulator, demodulator, amplifier and detector is also provided to improve the reliability of communication. Finally, the anti-interference design is tested by wireless communication experiment. The result indicates that the algorithms which realized with FPGA can detect and decode Model S reply signal accurately with a certain fault-tolerant ability; the rise/fall time of pulse is less then 50ns, the jitter amplitude of signal is less than 3dB which agrees with RTCA standards for Model S reply communication. ◁ PSaC-70 Remarks on Outliers in Time Series of Stock Prices Based on Density, pp.4523–4526 ZHAO, Qingjiang Kunming Univ. How to detect the outlier of stock prices effectively has become an intense concern of scholars in many fields. In this paper, the thoughts of Statistical theory and local density are introduced for researching the outliers in stock time series. A method detecting the outlier of stock time series based on density is proposed. Study on the outlier of time series in stock market is dealt with in two stages. In the first stage, the time series is partitioned by means of the sliding window with fixed length. In the second stage, the density-based method is introduced to detect the outliers with the local outlier factor. Empirical study, based on the daily closing price of SSE Composite Index, proved that the method is feasible and effective. ◁ PSaC-71 Support Vector Machine Based Aircraft Ground Icing Type Classification Forecast, pp.4541–4544 Xing, Zhiwei Zhang, Hui Civil Aviation Univ. of China Civil Aviation Univ. Of China Aircraft icing can seriously affect the safety of aircraft, and different types of aircraft icing have an effect on the aircraft safety to various extents. A SVM (Support Vector Machine) model for aircraft icing type prediction is presented to classify aircraft icing types. The input variables of icing type are analyzed, and then based on the analysis, the appropriate forecast methods are chosen and a SVM model for aircraft icing type classification is established. The SVM-based classification model is employed to identify aircraft ground icing type and compare with the classification model based on BP neural network. The experimental results show that the model based on the SVM method supplies high forecast accuracy, strong generalization ability with small samples, and has broad application prospect. ◁ PSaC-72 Fusion Algorithm of Infrared and Visible Images Based on Local Energy Using NSCT, pp.4579–4582 DAI, Wen-zhan TAN, Libo Yang, Aiping zhejiang Sci-Tech Univ. Inst. of Automatic Control, Zhejiang Sci-Tech Univ. Zhejiang Univ. of Finance & Economics According to the characteristics of the infrared and visible image, an image fusion algorithm of infrared and visible images based on local average energy using NSCT is proposed. After the two original images -registered are decomposed by using NSCT, the low frequency sub-band coefficients and band-pass directional sub-band coefficients are given by fusion rules based on local average energy, and then the fused image is obtained by inverse NSCT .The simulation results show that the algorithm proposed in this paper is best among wavelet-based, Curvelet-based and NSCT-based method. ◁ PSaC-73 Fingerprint Orientation Reconstruction from Minutiae Points, pp.4583– 4587 Chu, Zhuang Yuan, Guosen Zhang, Xiyu Han, Lin Henan Mechanical & Electrical Engineering College Henan Mechanical & Electrical Engineering College CNNC CHINA NUCLEAR POWER ENGINEERING Co Xin Xiang Medical Univ. Fingerprint orientation reconstruction from minutiae points is an important procedure in fingerprint reconstruction. In this paper, a novel fingerprint orientation reconstruction method is proposed. Firstly, the initial orientation field is estimated through interpolation strategy. The orientation of central block is predicted by the nearest minutia in eight different sectors. Secondly, a 2-D Fourier series expansion method for orientation field is proposed. Using the coefficients of expansion function, orientation field can be presented and reconstructed effectively. The noise can also be eliminated evidently through this method. Furthermore, singular points which are always needed for other orientation model are not required by 2-D Fourier series expansion method. The experimental results comparing our method with other methods prove that our proposed method is very effective in representing and reconstructing the fingerprint orientation field. ◁ PSaC-74 Image fusion via wavelet transform based on local contrast, pp.4588– 4591 Zhang, Daosong Pan, Haipeng Zhejiang Sci-Tech Univ. Zhejiang Sci-Tech Univ. In this article, images obtained by multi-sensor use multi-resolution analysis of image fusion methods based on wavelet transform. Two source images obtained high frequency and low frequency components after wavelet transform. Using fusion rules with criteria based on local variance [7] to obtain low-frequency component. using an adaptive algorithm with local contrast of images to obtain the high-frequency component; at last, using inverse wavelet transform to rebuild a fusion image with useful information from source image. Results show that compared with traditional algorithm and general algorithm, fusion image obtained by the proposed algorithm increases Peak-to-peak Signal-to- Noise Ratio by 12.11% and 8%, reduces root mean square error by 69.65% and 59.80%, increases correlation coefficient by 0.95% and 0.52%. ◁ PSaC-75 An Algorithm for Human Eye Location in Complex Background Based on Image Processing, pp.4592–4595 Wu, Minjie Mu, Ping’an Dai, Shuguang Zhang, Cai-Yan Univ. of Shanghai for Sci. & Tech. College of Optical & Electronics Engineering Univ. of Shanghai for Sci. & Tech. Univ. of Shanghai for Sci. & Tech. In order to reduce the impact of image background and illumination in face locating, this dissertation has put forward a new algorithm to locate human eyes, applying YCbCr model to extract human face region, and 201
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WCICA 2012 The 10 th World Congress
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Conference Program of WCICA 2012

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