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IEEE International Geoscience and Remote Sensing Symposium

作者： Jinling Zhao Lin Yuan Linsheng Huang Dongyan Zhang Jingcheng Zhang Xiaohe Gu Beijing Research Center for Information Technology in Agriculture Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 China Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei 230039 China

ISBN: (纸本)9781479911127

This study aims at characterizing wheat canopies caused by powdery mildew (Blumeria graminis f. sp. tritici) with multi-angular hyperspectral data. The filling stage (23 May, 2012) was chosen to achieve such a goal, considering that the disease can show distinctive symptoms during the months of May and June. A total of 37 sample plots were selected including 32 normal canopies and 5 diseased canopies with varied severity. To minimizing the soil background influences, multi-angular hyperspectral data were acquired at different view angles (0°, 45° and 90°). The results showed that the proportion of wheat vegetation and soil changed greatly and the hyperspectral reflectance values correspondingly changed. Consequently, the reflectance at different viewing angles showed great differences, but the curves had the same change trends. The results showed that, to accurately identify the spectral differences caused by powdery mildew, the optimal angle or a combination of several angles must be firstly found from multi-angular hyperspectral measurements.

关键词： Hyperspectral remote sensing Multi-angular spectral measurement Powdery mildew Sensitive wave bands Winter wheat powdery mildew winter wheat hyperspectral remote sensing multiangular Angle Wheat look angles (electronics) Canopies Winter

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Fusion of multi-spectral image and panchromatic image based on support vector regression

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Journal of Beijing Institute of Technology 2012年第2期21卷 269-277页

作者：胡根生梁栋 Key Laboratory of Intelligent Computing and Signal Processing Ministry of EducationAnhui University School of Electronics and Information Engineering Anhui University

In our study, support vector value contourlet transform is constructed by using support vector regression model and directional filter banks. The transform is then used to decompose source images at multi-scale, multi-direction and multi-resolution. After that, the super-resolved multi-spectral image is reconstructed by utilizing the strong learning ability of support vector regression and the correlation between multi-spectral image and panchromatic image. Finally, the super-resolved multi- spectral image and the panchromatic image are fused based on regions at different levels. Our experi- ments show that, the learning method based on support vector regression can improve the effect of super-resolution of multi-spectral image. The fused image preserves both high space resolution and spectrum information of multi-spectral image.

关键词： image processing image fusion support vector regression super-resolution

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Identity recognition of plantar pressure image based on compressed sensing

Identity recognition of plantar pressure image based on comp...

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International Conference on Mechatronic Science, Electric Engineering and Computer

作者： Yan Zhang Dong Liang Ming Zhu Yining Sun Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education AHU Hefei China Anhui University AHU Hefei China School of Electronics and Information Engineering Anhui University AHU Hefei China Institute of Intelligent Machines Chinese Academy of Sciences CAS Hefei China

ISBN: (纸本)9781479925667

Herein, a new identity recognition method of plantar pressure image (PPI) was investigated based on compressed sensing. During the process of identity recognition, the PPIs were collected with platform system in normal walking speed. The sparse representation of PPI was then obtained according to the sparse basis (i.e., wavelet basis). Finally, measurement vectors were calculated by the Topelitz measurement matrix and the PPI was recognized by compressed sensing classifier. The results showed that the accuracy of identity recognition of PPI based on compressed sensing exceeded 97.76%, demonstrating the effectiveness and stability of the Topelitz-compressed sensing algorithm. Meanwhile, the method used in this study reduced the data storage amount and increased the real-time recognition during the PPI process.

关键词： Accuracy Compressed sensing Sparse matrices Classification algorithms Foot Image recognition Support vector machine classification

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A novel high order time-domain scheme for 2D quantum problem

A novel high order time-domain scheme for 2D quantum problem

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2012 5th Global Symposium on Millimeter-Waves, GSMM 2012

作者： Sun, Bingbing Wang, Hui Wu, Xianliang Huang, Zhixiang Liu, Zheng Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei Anhui 230039 China

ISBN: (纸本)9781467313032

An explict fourth order finite difference time do-main(FDTD) scheme is applied to quantum simulation. The analysis of stablity and dispersion relation of this technique is presented in this article. A strict time bound is derived to ensure stability. The numerical scheme used here is different from the scheme in electromagnetic field. Several numerical experiments are illustrated to verify the efficiency of the new method. Some useful physics results such as eigenfrequency and eigenenergy are also obtained. © 2012 IEEE.

关键词： Electromagnetic fields

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A uniform solution to the independent set problem through tissue P systems with cell separation

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Frontiers of Computer Science 2012年第4期6卷 477-488页

作者： Xingyi ZHANG Xiangxiang ZENG Bin LUO Zheng ZHANG Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityHefei 230039China Department of Computer Science Xiamen UniversityXiamen 361005China Key Laboratory of Image Processing and Intelligent Control Department of Control Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China

Membrane computing is an emergent branch of natural computing, which is inspired by the structure and the functioning of living cells, as well as the organization of cells in tissues, organs, and other higher order structures. Tissue P systems are a class of the most investigated computing mod- els in the framework of membrane computing, especially in the aspect of efficiency. To generate an exponential resource in a polynomial time, cell separation is incorporated into such systems, thus obtaining so called tissue P systems with cell separation. In this work, we exploit the computational efficiency of this model and construct a uniform family of such tissue P systems for solving the independent set problem, a well-known NP-complete problem, by which an efficient so- lution can be obtained in polynomial time.

关键词： membrane computing tissue P system cell sep- aration independent set problem

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Reconstruction of whisper in Chinese by modified MELP

Reconstruction of whisper in Chinese by modified MELP

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2012 7th International Conference on Computer Science and Education, ICCSE 2012

作者： Huang, Cheng Tao, Xing Yue Tao, Liang Zhou, Jian Bin Wang, Hua Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230031 China

ISBN: (纸本)9781467302425

In the present paper, a method for the real-time conversion of whisper to normal phonated speech in Chinese through a multiple excited linear prediction (MELP) analysis-by-synthesis codec is discussed. In the analysis codec processing of whisper speech, parameters from unchanged MELP model are changed, such as the pitch and the formants which aims to reconstruct the target phonated speech using the synthesis codec. Subjective evaluation results show the effectiveness of the technique. © 2012 IEEE.

关键词： Continuous speech recognition

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Novel algorithm for enhancement of hand vein images based on adaptive filtering and retinex method

Novel algorithm for enhancement of hand vein images based on...

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2012 IEEE International Conference on Information Science and Technology, ICIST 2012

作者： Wang, Hua-Bin Tao, Liang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui 230039 China

ISBN: (纸本)9781457703454

Based on adaptive filtering and retinex method, this paper presents a novel algorithm for Enhancement of hand vein images. First of all, the principle of the near-infrared hand vein image acquisition is introduced. Secondly, the Retinex method is used to normalize hand vein images, and the adaptive smoothing method is selected to estimate the illumination. Thirdly, Gray cosine transform is used to enhance the discrimination of the skin and the vein in hand vein images. Finally, a determination criterion of hand vein is established to remove the false vein blocks from the segmented hand vein images. We developed a hand vein recognition system in Microsoft VC6.0 and the experimental results demonstrate the high efficiency of the proposed algorithm in runtime and correct recognition rate. © 2012 IEEE.

关键词： Adaptive filtering

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Design of a new type of broadband antenna with indoor distribution

Design of a new type of broadband antenna with indoor distri...

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2012 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2012

作者： Wang, He-Zhou Wu, Xian-Liang Huang, Zhi-Xiang Zhang, Liang Qin, Kun Qi, Qi Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China Hefei Normal University Hefei 230061 China

ISBN: (纸本)9781467321839

Based on the principle of discone antenna, a new type of broadband omnidirectional antenna is presented. According to antenna loading technology, introducing the cone surface profile of the broken line structure and short-circuit load of ways which use three short-circuit branches improve the low-frequency electrical characteristics of the antenna and the bandwidth. A very good miniaturization is achieved which reduces the total size. The physical antenna is produced. The calculated and measured VSWR patterns seem to be in good agreement with each other. The VSWR is less than 1.5 at 800MHz-2600MHz. H plane has an ominidirectional radiation pattern. As to small size and low cost, it will have good market prospects. © 2012 IEEE.

关键词： Directional patterns (antenna)

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A novel anonymous secret sharing scheme based on BP Artificial Neural Network

A novel anonymous secret sharing scheme based on BP Artifici...

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2012 8th International Conference on Natural Computation, ICNC 2012

作者： Zhong, Hong Wei, Xiaodong Shi, Runhua Key Laboratory of Intelligent Computing and Signal Processing Anhui University Ministry of Education China School of Computer Science and Technology Anhui University China

ISBN: (纸本)9781457721311

In an anonymous secret sharing scheme, the secret can be reconstructed without knowledge of which participant hold which share. That is, in such scheme the secret can be recovered from the shares without the identities of shareholders. However, the previous anonymous schemes are not very efficient and the existing bounds make optimization work difficult. In this paper, we present a novel anonymous secret sharing scheme by using BP Artificial Neural Network. The scheme can ensure that the shareholders' identities are completely anonymous when the secret is recovered. Unlike previous schemes, our scheme is an ideal (t, n) threshold scheme which parameter t doesn't have lower bounds and need less storage space. Furthermore, the shares can be chosen by shareholders and the communication between dealer and participants doesn't need secure channel. In addition, the participants can verify the correctness of their shares and the secret S. © 2012 IEEE.

关键词： Neural networks

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A novel distributed machine learning method for classification: Parallel covering algorithm

A novel distributed machine learning method for classificati...

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7th International Conference on Rough Sets and Knowledge Technology, RSKT 2012

作者： Zhang, Yanping Wang, Yuehua Zhao, Shu Anhui University Computer Science and Technology Institute Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Hefei Anhui Province 230039 China

ISBN: (纸本)9783642318993

In this paper, we propose a novel distributed machine learning method: Parallel Covering Algorithm, which is inspired by the module feature of CA (Covering Algorithm). Classic method of CA is presented, and we analyze its independent part. Then we develop the Parallel CA by utilizing its modularity as well as data-set decomposition. Detailed implementation of the parallel computing process is described. In the experiment, three data sets are used to evaluate the Parallel CA, and the comparison with classic CA is also shown in the paper. Speedup and efficiency are two criterions to evaluate the performance of the algorithm. Both the analysis and the comparison indicate that the Parallel CA is more effective than CA. We also empirically compare the results obtained by Parallel SVM on a large data set, and it shows that our proposed algorithm is effective. © 2012 Springer-Verlag.

关键词： Learning algorithms

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