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Application and method of feature extraction for approximate orthogonal non-negative matrix factorization

Journal of Computational Information Systems 2013年第2期9卷 805-812页

作者： Hu, Lirui Wu, Jianguo Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China School of Computer Science and Technology Nantong University Nantong 226019 China School of Computer Science and Technology Anhui University Hefei 230039 China

In order to get effectively feature vectors of samples, a method of feature extraction is proposed based on non-negative matrix factorization (NMF) with approximate orthogonal constraint. An objective function is defined to impose approximate orthogonal constraint, in addition to the non-negative constraint in the standard NMF. An algorithm of iterative update for basis matrix and weight matrix in non-negative matrix factorization is derived, and then computational method of feature vectors is gotten. A proof of the convergence of the algorithm is provided. Empirical results of handwritten character recognition show that there is high recognition accuracy if only the rank of the basis matrix is set correctly. The method of feature extraction is useful to get essential feature of sample, and is effective to recognition when the structures of the handwritten characters are obviously different. Copyright © 2013 Binary Information Press.

关键词： Feature extraction

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CHARACTERIZATION OF POWDERY MILDEW IN WINTER WHEAT USING MULTI-ANGULAR HYPERSPECTRAL MEASUREMENTS

CHARACTERIZATION OF POWDERY MILDEW IN WINTER WHEAT USING MUL...

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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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Multi-granular model to solve netted problem

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Journal of Computational Information Systems 2013年第19期9卷 7919-7927页

作者： Chen, Jie Zhang, Yanping Zhao, Shu Liu, Lulu School of Computer Science and Technology Anhui University Hefei 230039 China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China Department of Computer Science and Technology Hefei Normal University Hefei 230061 China

The complex problems usually have netted structure, namely netted problems. The generally solving methods are based on sequence-searching or tree-searching of this kind of problems. But the structure of netted problems isn't merely sequence or tree. The Multi-granular Model was proposed in this paper which is put forward based on granular transaction of Quotient Space Theory. The whole problem is represented as a directed graph. Firstly, this graph was projected by constraints of original problem into coarse-grained spaces. Then granular decomposition is used to clear up the circle paths in new graph. In optimal quotient space, we search the answers according to the ordered sequence which is got by traversing the result of granular decomposition. In this paper, an applicable example is given and experiment contrasted with traditional tree searching method shows that this algorithm spends less time complexity and smaller space complexity. © 2013 Binary Information Press.

关键词： Directed graphs

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A quasi-static clustering algorithm in mobile heterogeneous sensor network

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Journal of Computational Information Systems 2013年第9期9卷 3741-3749页

作者： Wang, Bingting Lin, Qibin Hu, Yanjun Liang, Hui Wang, Xianbing Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China School of Mechanical and Electronic Engineering Chuzhou University Chuzhou 239000 China School of Information Science and Technology Southwest Jiaotong University Chengdu 610031 China

In this paper, we constructed the architecture of mobile heterogeneous sensor network by introducing user equipments (UEs) in static wireless sensor network. We analyzed the failure of traditional static clustering algorithm, gave a set of parameters that affected the performance of cluster heads in the mobile environment and proposed a Quasi-Static Clustering Algorithm (QSCA). Through theoretical analysis and simulation, this algorithm can reduce average delay and prolong network lifetime. We verified the adaptability of QSCA algorithm to energy consumption and dynamic topology by comparing with the LEACH algorithm. © 2013 by Binary Information Press.

关键词： Clustering algorithms

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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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A design of remote monitoring system based on 3G and internet technology

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2012 National Conference on Information Technology and Computer Science, CITCS 2012

作者： Wen, Shouxian Sun, Xingguo Xu, Lei Li, Xiaohui Key Lab of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9789491216381

Aiming at the low-rate and short-distance communication in existing temperature and humidity monitoring system, this paper designs a remote monitoring system based on 3G and Internet technology. This system consists of data acquisition module and data remote transmission module. Atmega128 is used to be as a master control chip of data acquisition module, which realizes the data acquisition and pretreatment, and the collected data is transmitted to the host node by the low-power wireless transmission module NRF905 which is installed on slave nodes, and then the converged data is transmitted to Internet by 3G module. The system can realize remote monitoring, centralized management and so on. The experimental results show that the system has the advantages of low installation cost, low consumption, high sensitivity, high accuracy, long-distance communication and high rate etc. © 2012. The authors - Published by Atlantis Press.

关键词： Data acquisition

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A design of digital handheld terminal in wireless data acquisition system

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2012 National Conference on Information Technology and Computer Science, CITCS 2012

作者： Sun, Xingguo Wen, Shouxian Xu, Lei Li, Xiaohui Key Lab of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9789491216381

In order to make data collection more convenient, quick and accurate in working site in the existing wireless data acquisition system, one kind of multi-function handheld terminal is designed which combines the wireless and wired data acquisition. The paper adopts Atmega128 of ATMEL as microcontroller, nRF905 of Nordic as data transmission module. It designs power management, liquid-crystal display and data storage circuits. The results of practical test show that the handheld terminal can be applied to all kinds of wireless data acquisition networks, and it has several advantages like easy to carry, large data storage capacity, rich function and low cost. © 2012. The authors - Published by Atlantis Press.

关键词： Liquid crystal displays

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A cooperative spectrum sensing information transmission scheme based on cyclic delay diversity

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2012 National Conference on Information Technology and Computer Science, CITCS 2012

作者： Liu, Yanru Hu, Dechao Li, Xiaohui Key Lab of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9789491216381

To improve the reliability of spectrum sensing, a cooperative spectrum sensing information transmission scheme is discussed in this paper. Pre-coding and cyclic delay diversity (CDD) techniques are fully considered and properly combined to obtain diversity gains. Simulation results show that the proposed scheme can reduce error rate and further improve the cooperative spectrum sensing performance in the multipath fading channel. © 2012. The authors - Published by Atlantis Press.

关键词： Transmissions

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Simulation and analysis of influence of group delay distortion on performance of DBF system

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2012 National Conference on Information Technology and Computer Science, CITCS 2012

作者： Gao, Hao Li, Xiaohui Key Lab of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9789491216381

Group delay distortion between channels is one of the most important factors which affect the BER (bit error rate) performance of DBF (digital beam forming) System. The basic principles of DBF and the concept of group delay are first introduced, and a linear group delay filter is designed based on the relationship between the minimum phase system and the cepstral coefficients. And then a multi-channel group delay distortion model for simulation in MATlab software is established. A QPSK system is simulated in multi-channel group delay. Simulation results show that the degradation of BER performance is caused by group delay distortion, and the more serious distortion of group delay, the greater deterioration of BER performance. © 2012. The authors - Published by Atlantis Press.

关键词： Group delay

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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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