检索结果-内蒙古大学图书馆

Linear projective non-negative matrix factorization

ICIC Express Letters 2013年第8期7卷 2285-2291页

作者： Hu, Lirui Wu, Jianguo Wang, Lei Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University No. 3 Feixi Road Hefei 230039 China School of Computer Science and Technology Nantong University No. 9 Seyuan Road Nantong 226019 China School of Computer Science and Technology Anhui University No. 3 Feixi Road Hefei 230039 China

In order to solve the problem that the iterative method for Linear Projection- Based Non-negative Matrix Factorization (LPBNMF) is complex, a method, called Linear Projective Non-negative Matrix Factorization (LP-NMF), is proposed. In LP-NMF, from projection and linear transformation angle, an objective function of Frobenius norm is defined. The Taylor series expansion is used. An iterative algorithm for basis matrix and linear transformation matrix is derived, and a proof of algorithm convergence is provided. Experimental results show that the algorithm is convergent;relative to Nonnegative Matrix Factorization (NMF), the orthogonality and the sparseness of the basis matrix are better;in face recognition, there is higher recognition accuracy. The method for LP-NMF is effective. © 2013 ICIC International.

关键词： Linear transformations

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A directed continuous time random walk model with jump length depending on waiting time

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The Scientific World Journal 2014年第1期2014卷 182508-182508页

作者： Shi, Long Yu, Zuguo Mao, Zhi Xiao, Aiguo Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Xiangtan Hunan 411105 China Institute of Mathematics and Physics Central South University of Forest and Technology Changsha Hunan 410004 China School of Mathematical Sciences Queensland University of Technology Brisbane QLD 4001 G.P.O. Box 2434 Australia

In continuum one-dimensional space, a coupled directed continuous time random walk model is proposed, where the random walker jumps toward one direction and the waiting time between jumps affects the subsequent jump. In the proposed model, the Laplace-Laplace transform of the probability density function P (x, t) of finding the walker at position x at time t is completely determined by the Laplace transform of the probability density function (t) of the waiting time. In terms of the probability density function of the waiting time in the Laplace domain, the limit distribution of the random process and the corresponding evolving equations are derived. © 2014 Long Shi et al.

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Dual-loop Control Strategy for Grid-connected Inverter with LCL Filter

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Energy and Power Engineering 2013年第4期5卷 97-101页

作者： Qiubo Peng Hongbin Pan Yong Liu Lidan Xiang Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan University Xiangtan China

As to the concrete topology of three-phase LCL type grid-connected inverter with damping resistance, mathematical model was deduced in detail, using method of equivalent transformation to the structure diagram, damping resistance was virtualized, mathematical model under the DQ frame that can realize decoupling control was established, a dual-loop control strategy for grid-connected inverter with LCL filter was proposed, the system stability was analyzed and the design method of controller was given. The proposed method overcame the flaws of loss increase, efficiency reduce and cost increase which were caused by damping resistance in LCL type grid-connected inverter, the system efficiency and power supply quality of the output were improved. Feasibility and effectiveness of the new method were validated by simulation and experimental results.

关键词： Virtual Damping LCL Filter Three-phase Grid-connected Inverter Decoupling Control

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Multifractal analyses of daily rainfall time series in Pearl River basin of China

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Physica A: Statistical Mechanics and its Applications 2014年 405卷 193-202页

作者： Zu-Guo Yu Yee Leung Yongqin David Chen Qiang Zhang Vo Anh Yu Zhou Hunan Key Laboratory for Computation and Simulation in Science and Engineering Xiangtan University Xiangtan Hunan 411105 China Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Xiangtan Hunan 411105 China School of Mathematical Sciences Queensland University of Technology GPO Box 2434 Brisbane Q4001 Australia Department of Geography and Resource Management The Chinese University of Hong Kong Hong Kong China Institute of Environment Energy and Sustainability The Chinese University of Hong Kong Hong Kong China Department of Water Resources and Environment Sun Yat-sen University Guangzhou 510275 China Key Laboratory of Water Cycle and Water Security in Southern China of Guangdong High Education Institute Sun Yat-sen University Guangzhou 510275 China

The multifractal properties of daily rainfall time series at the stations in Pearl River basin of China over periods of up to 45 years are examined using the universal multifractal approach based on the multiplicative cascade model and the multifractal detrended fluctuation analysis (MF-DFA). The results from these two kinds of multifractal analyses show that the daily rainfall time series in this basin have multifractal behavior in two different time scale ranges. It is found that the empirical multifractal moment function K ( q ) of the daily rainfall time series can be fitted very well by the universal multifractal model (UMM). The estimated values of the conservation parameter H from UMM for these daily rainfall data are close to zero indicating that they correspond to conserved fields. After removing the seasonal trend in the rainfall data, the estimated values of the exponent h ( 2 ) from MF-DFA indicate that the daily rainfall time series in Pearl River basin exhibit no long-term correlations. It is also found that K ( 2 ) and elevation series are negatively correlated. It shows a relationship between topography and rainfall variability.

关键词： Daily rainfall time series Multifractal property Universal multifractal model Multifractal detrended fluctuation analysis

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Natural human-computer interaction based on finger tracking

Natural human-computer interaction based on finger tracking

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2013 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013

作者： Xu, Rong Bin Xie, Ying Guo, Xing Zhu, Er Zhou Wu, Jian Guo Key Laboratory of Intelligent Computing and Signal Processing of Ministry Hefei 230039 China School of Computer Science and Technology Anhui University Hefei 230601 China Computer Studies department Anhui University Hefei 230601 China

ISBN: (纸本)9783037858202

Large touch screen systems (LTSS) have been widely used in scientific, industrial, educational and artistic domains. They are easy and natural for people to use. We present a novel touch screen interaction with finger pointing and operating. To track the high freedom of fingertips with quick changes and self-occlusion by using ordinary cameras is a complex and challenging task. We propose a series of computer vision (CV) algorithms to fix initial position, coordinates mapping, fingertip detection, fingertip tracking, fingertip pose recognition, and generate control instructions. Evaluation shows our system is simply implemented and has a great effect. © (2013) Trans Tech Publications, Switzerland.

关键词： Touch screens

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HYBit: A hybrid taint analyzing framework for binary programs

HYBit: A hybrid taint analyzing framework for binary program...

引用

4th International Conference on Advances in Swarm Intelligence, ICSI 2013

作者： Zhu, Erzhou Guan, Haibing Liang, Alei Xu, Rongbin Li, Xuejian Liu, Feng Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230601 China Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9783642387142

For the purpose of discovering security flaws in software, many dynamic and static taint analyzing techniques have been proposed. The dynamic techniques can precisely find the security flaws of the software;but it suffers from substantial runtime overhead. On the other hand, the static techniques require no runtime overhead;but it is often not accurate enough. In this paper, we propose HYBit, a novel hybrid framework which integrates dynamic and static taint analysis to diagnose the security flaws for binary programs. In the framework, the source binary is first analyzed by the dynamic taint analyzer;then, with the runtime information provided by its dynamic counterpart, the static taint analyzer can process the unexecuted part of the target program easily. Furthermore, a taint behavior filtration mechanism is proposed to optimize the performance of the framework. We evaluate our framework from three perspectives: efficiency, coverage, and effectiveness, and the results are encouraging. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Static analysis

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The principle and implementation of novel FRC algorithm

The principle and implementation of novel FRC algorithm

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2013 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013

作者： Xie, Ying Xu, Rong Bin Zuo, Yan Sheng Wu, Jian Guo Key Laboratory of Intelligent Computing and Signal Processing of Ministry Hefei 230039 China Computer Studies department Anhui University Hefei 230601 China School of Computer Science and Technology Anhui University Hefei 230601 China

ISBN: (纸本)9783037858202

FRC technology mainly uses the visual inertia of human eyes which can be regarded as persistence of vision phenomenon by sequential frames. It is especially important to make the 6 bit panel display abundant colors. The paper has deeply researched some possible stripes of the FRC algorithm caused by fixed pattern. A novel stripe removable algorithm has been brought up. It can effectively avoid the horizontal, vertical or diagonal stripe by displaying different temporal and spatial patterns. Various experiments show that the novel algorithm can display high resolution image in the lowly variety devices. © (2013) Trans Tech Publications, Switzerland.

关键词： Display devices

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The improved Hagedorn wavepacket method for semiclassical Schrödinger equation

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International Journal of Modeling, Simulation, and Scientific computing 2014年第4期5卷

作者： Xueyang Li Aiguo Xiao Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Xiangtan Hunan P. R. China

The Hagedorn wavepacket method is an important numerical method for solving the semiclassical time-dependent Schrödinger equation. In this paper, a new semi-discretization in space is obtained by wavepacket operator. In a sense, such semi-discretization is equivalent to the Hagedorn wavepacket method, but this discretization is more intuitive to show the advantages of wavepacket methods. Moreover, we apply the multi-time-step method and the Magnus-expansion to obtain the improved algorithms in time-stepping computation. The improved algorithms are of the Gauss–Hermite spectral accuracy to approximate the analytical solution of the semiclassical Schrödinger equation. And for the given accuracy, the larger time stepsize can be used for the higher oscillation in the semiclassical Schrödinger equation. The superiority is shown by the error estimation and numerical experiments.

关键词： High oscillation semiclassical Schrödinger equation Hagedorn wavepacket multi-time-step method Magnus-expansion

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Video summarization by robust low-rank subspace segmentation

Video summarization by robust low-rank subspace segmentation

引用

8th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2013

作者： Tu, Zhengzheng Sun, Dengdi Luo, Bin Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei230039 China School of Computer Science and Technology Anhui University Hefei230601 China Key Lab of Industrial Image Processing and Analysis of Anhui Province Hefei230039 China

ISBN: (纸本)9783642375019

Video summarization provides condensed and succinct representations of the content of a video stream. A static storyboard summarization approach based on robust low-rank subspace segmentation is proposed in this paper. Firstly, video frames are represented as multi-dimensional vectors, and then embedded into a group of affine subspaces using low-rank representation according to the content similarity of the frames in the same subspace. Secondly, a series of subspaces are segmented based on the Normalized Cuts algorithm. The video summary is finally generated by choosing key frames from the significant subspaces and ranking these key frames in temporal order. The experimental results demonstrate that the proposed summarization algorithm can produce crucial key frames and effectively reduce the visual content redundancy in summary comparing with the conventional approaches. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Vectors

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A fuzzy supervised learning method with dynamical parameter estimation for nonlinear discriminant analysis

A fuzzy supervised learning method with dynamical parameter ...

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作者： Song, Xiaoning Liu, Zi Yang, Xibei Yang, Jingyu School of Computer Science and Engineering Jiangsu University of Science and Technology Zhenjiang 212003 China School of Computer Science and Technology Nanjing University of Science and Technology Nanjing 210094 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China

In this paper, we develop a novel fuzzy supervised learning algorithm based on the dynamical parameter estimation. First, a reformative supervised fuzzy LDA algorithm (RF-LDA) for the training samples is proposed. Compared with the conventional fuzzy LDA algorithm, the presented algorithm computes the discriminant vectors associated with the membership grade from each training sample, which is theoretically effective in overcoming the classification limitation originating from the imprecise samples. Second, when a novel fuzzy LDA model is required in order to take some decision about the feature extraction and classification, the dynamical parameter estimation method of the fuzzy LDA model should recursively process the measured data as they become available. In the line of previous arguments, we approach the problem of control parameter estimation of RF-LDA by considering the formulation of a Hopfield Neural Network (HNN), which is named HRF-LDA. Third, considering the fact that the Kernel Fisher Discriminant (KFD) is effective in extracting the nonlinear discriminative information of the feature space by using kernel trick, a kernel version of HRF-LDA is presented subsequently, which has the potential to outperform the traditional fuzzy learning algorithms, especially in the cases of nonlinear small sample sizes. The advantage of this learning algorithm is that it successfully utilizes the improved kernel fuzzy LDA algorithm as a supervised feature extraction tool. Meanwhile, by means of the control parameter estimation, we address the problem that the particular value of offset in the calculation of the grade of membership is dynamically assigned. Extensive experimental studies conducted on the ORL, NUST603, FERET, Yale and XM2VTS face images show the effectiveness of the proposed fuzzy integrated algorithm. © 2013 Elsevier Ltd. All rights reserved.

关键词： Parameter estimation

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