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2011 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, CSQRWC 2011

作者： Wang, Hui Huang, Zhi-Xiang Wu, Xian-Liang Wu, Lei Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China Department of Physics and Electronic Engineering Hefei Normal University Hefei China

ISBN: (纸本)9781424497904

In the paper, the authors derive the method of splitting plane wave FDTD (SP-FDTD) method for initiation of plane wave sources in the total-field and scattered-field (TF/SF) formulation of 3D FDTD (2, 4) scheme. By splitting the fields on 1D auxiliary grids, the identical dispersion relation can be obtained between the 1D auxiliary grids and the 3D grids, which is also proved to be using the nature of plane wave. Using 1D auxiliary grids for introducing a plane wave, a perfect plane wave injection can be achieved at any angle forming an integer grid cell ratio. Numerical simulations also indicate the efficiency and validity of the method for FDTD (2, 4) scheme and the leakage error on the order of -300dB for double precision. © 2011 IEEE.

关键词： Numerical methods

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Tissue P systems with cell separation: attacking the partition problem

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Science China(Information Sciences) 2011年第2期54卷 293-304页

作者： ZHANG XingYi1, WANG Shuo2, NIU YunYun2 & PAN LinQiang2 1key lab.of intelligent computing and signal Processing of Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei 230039, China 2Image Processing and intelligent Control key lab.ratory of Education Ministry of China, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China 1. Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 China2. Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

Tissue P systems are distributed parallel and non-deterministic computing models in the framework of membrane computing, which are inspired by intercellular communication and cooperation between neurons. Recently, cell separation is introduced into tissue P systems, which enables systems to generate an exponential workspace in a polynomial time. In this work, the computational power of tissue P systems with cell separation is investigated. Specifically, a uniform family of tissue P systems with cell separation is constructed for effciently solving a well-known NP-complete problem, the partition problem.

关键词： membrane computing tissue P system cell separation partition problem

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Semi-supervised geometric mean of Kullback-Leibler divergences for subspace selection

Semi-supervised geometric mean of Kullback-Leibler divergenc...

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2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Chen, Si-Bao Wang, Hai-Xian Zhang, Xing-Yi Luo, Bin Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)9781612841816

Subspace selection is widely adopted in many areas of pattern recognition. A recent result, named maximizing the geometric mean of Kullback-Leibler (KL) divergences of class pairs (MGMD), is a successful method for subspace selection, which can significantly reduce the class separation problem. However, in many applications, lab.led data are very limited while unlab.led data can be easily obtained. The estimation of divergences of class pairs is unstable using inadequate lab.led data. To take advantage of unlab.led data for subspace selection, semi-supervised MGMD (SSMGMD) is proposed using graph Laplacian as normalization. Quasi-Newton method is adopted to solve the optimization problem. Experiments on synthetic data and real image data show the validity of SSMGMD. © 2011 IEEE.

关键词： Newton-Raphson method

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Wave separation for the great Sumatra-Andaman earthquake with regional seismic array

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Earthquake Science 2011年第1期24卷 127-132页

作者： Chunyan Zhang Sidao Ni Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Mathematics Anhui University Hefei 230039 China Key Laboratory of Dynamic Geodesy Institute of Geodesy and Geophysics Chinese Academy of Sciences Wuhan 430077 China

We analyzed the seismic waveforms from the December 26, 2004 Sumatra-Andaman earthquake recorded at broadband seismic stations in western Europe. Previous studies involving of the beam-forming technique and high frequency analysis suggest that the earthquake ruptured with a duration of around 500 s. This very long duration makes P wave overlap with later arrivals such as PP wave, which follows P in about 200 s. Since P waves are crucial for modeling earthquake processes, we propose an iterative method to separate P and PP waveforms. The separated P waveform confirms a second large energy release around 300 s after the initial rupture. The iterative signal separation technique is particularly useful for mixed signals that are not independent and the number of recording stations far exceeds number of mixed signal sources.

关键词： rupture duration great Sumatra-Andaman earthquake wave separation array analysis

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Study on the dynamic monitoring of urban expansion of Nanning City using Remote Sensing

Study on the dynamic monitoring of urban expansion of Nannin...

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2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011

作者： Wu, Chao-Kui Yuan, Chang-An Zhang, Li-Qiong Lao, Juan Guangxi University Nanning China Key Lab. of Scientific Computing and Intelligent Information Processing Universities of Guangxi Guangxi Teachers Education University Nanning China

Take multi-time-phase Landstat TM/ETM+ Remote Sensing images (1990,2002,2007) of Nanning City as data source and use RS and GIS intergration technology to extract the informa-tion of city. The paper analyses the prope... 详细信息

ISBN: (纸本)9781424491711

关键词： Remote sensing

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Inter-piconet interference mitigation schemes for converged BTLE and cellular network

Inter-piconet interference mitigation schemes for converged ...

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2011 International Conference on Wireless Communications and signal Processing, WCSP 2011

作者： Hu, Ying Wang, Guizhu Shan, Lianhai Yuan, Zhi Ouyang, Yuling Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China Shanghai Research Center for Wireless Communications Key Lab of Wireless Sensor Network and Communication CAS Shanghai China

ISBN: (纸本)9781457710100

In a Bluetooth Low Energy (BTLE) piconet, the master node controls the channel access by a simple polling scheme. Due to an absence of coordination among independent master nodes while accessing the wireless medium, devices will encounter high packet interference if many piconets are simultaneously operating in the same area. In this paper, we propose two schemes in the converged BTLE and cellular network, one is based on bad channel prediction for the BTLE piconets, and the other is based on frequency hopping sequences transformation. We compare the performance of the proposed algorithms with original scheme in the form of channel collision probability and new signaling overhead. The simulation results show that the proposed schemes can reduce channel collision probability significantly and simultaneously the new signaling overhead introduced to the downlink is not large. © 2011 IEEE.

关键词： Bluetooth

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Extracting Hierarchical Rules from a Weighted Alignment Matrix 5

Extracting Hierarchical Rules from a Weighted Alignment Matr...

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5th International Joint Conference on Natural Language Processing, IJCNLP 2011

作者： Tu, Zhaopeng Liu, Yang Liu, Qun Lin, Shouxun Key Lab. of Intelligent Info. Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing100190 China

ISBN: (纸本)9789744665645

Word alignment is a fundamental step in machine translation. Current statistical machine translation systems suffer from a major drawback: they only extract rules from 1-best alignments, which adversely affects the rule sets quality due to alignment mistakes. To alleviate this problem, we extract hierarchical rules from weighted alignment matrix (Liu et al., 2009). Since the sub-phrase pairs would change the inside and outside areas in the weighted alignment matrix of the hierarchical rules, we propose a new algorithm to calculate the relative frequencies and lexical weights of hierarchical rules. To achieve a balance between rule table size and performance, we construct a scoring measure that incorporates both frequency and lexical weight to select the best target phrase for each source phrase. Experiments show that our approach improves BLEU score by ranging from 1.4 to 1.9 points over baseline for hierarchical phrase-based, and 1.4 to 1.5 points for tree-to-string model. © 2011 AFNLP

关键词： Alignment

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Spiking neural P systems for arithmetic operations

Spiking neural P systems for arithmetic operations

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6th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2011

作者： Zeng, Xiangxiang Song, Tao Pan, Linqiang Zhang, Xingyi Key Laboratory on Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Lab of Intelligent Computing and Signal Processing School of Computer Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)9780769545141

Recently, Gutiérrez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices - spiking neural P systems (for short, SN P systems). However, the binary encoding mechanism used in their research looks like the encoding approach in electronic circuits, instead of the style of spiking neurons (in usual SN P systems, information are encoded as the time interval between spikes). In this work, three SN P systems are constructed as adder, subtracter and multiplier, respectively. In these devices, a number is inputted to the system as the interval of time elapsed between two spikes received by input neuron, the result of a computation is the time between the moments when the output neuron spikes. © 2011 IEEE.

关键词： Encoding (symbols)

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A new regression method based on SVM classification

A new regression method based on SVM classification

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2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Dong, Yi Cheng, Wei Li, Shengfeng Institute of Applied Mathematics Bengbu College Bengbu China School of Management Hefei Univ. of Technology Hefei China Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei China Anhui Vocational College of Electronics and Information Technology Bengbu China

ISBN: (纸本)9781612841816

SVM (Support Vector Machines) is a novel algorithm of machine learning which is based on SLT (Statistical Learning Theory). It can solve the problem characterized by nonlinear, high dimension, small sample and local minimizing perfectly. For non-linear problem, the forecasting technique of FCTR (First classification, then regression) was proposed, based on the classification approach of SVM and has carried on the simulation experiment. The experiment shows that the fitting value which obtains using the return to first would be more precise than directly. Using this method to food production forecast, its accuracy is superior to other production forecasting methods. © 2011 IEEE.

关键词： Support vector machines

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GPU based fast algorithm for tanner graph based image interpolation

GPU based fast algorithm for tanner graph based image interp...

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3rd IEEE International Workshop on Multimedia signal Processing, MMSP 2011

作者： Lei, Wei Xiong, Ruiqin Ma, Siwei Liang, Luhong Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science Beijing 100190 China Institute of Digital Media Peking University Beijing 100871 China

ISBN: (纸本)9781457714337

In image/video processing software and hardware products, low complexity interpolation algorithms, such as cubic and splines methods, are commonly used. However, these methods tend to blur textures and produce jaggy effect compared with other adaptive methods such as NEDI, SAI. Tanner graph based image interpolation algorithm has better effect in dealing with edge and texture, but with high computation complexity. Thanks to the high performance parallel processing capability of today's GPU, use of complex algorithms for real time application is becoming possible. In this paper, we present a fast algorithm for tanner graph based image interpolation and it's implementation on GPU. In our algorithm, the image model training process of tanner graph based image interpolation is greatly simplified. Experimental results show that the GPU implementation can be more than 47 times as fast as the CPU implementation. © 2011 IEEE.

关键词： Graphics processing unit

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