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Immune quantum swarm optimization for permutation scheduling

Journal of Harbin Institute of technology (New Series) 2008年第SUPPL.期15卷 247-251页

作者： Su, Shoubao Yu, Shuhao Wang, Jiwen Wang, Benyou Department of Computer Science and Technology West Anhui University Lu'an 237012 China Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China

Scheduling is one of the most well-known problems in both modern service science and service operational management. On the basis of quantum swarm evolutionary method, a new technique, immune quantum swarm optimization (IQSO) approach is proposed by redefining the immune operators, vaccinating operator and immune selecting operator, which has a powerful global exploration capability and its applications with permutation flowshop scheduling. The experimental results obtained from the proposed method on some benchmark instances show that it is very promising, compared to genetic algorithms and swarm intelligence methods.

关键词： Supply chain management

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Regions of interest extraction based on visual attention model and watershed segmentation

Regions of interest extraction based on visual attention mod...

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2008 IEEE International Conference Neural Networks and signal processing, ICNNSP

作者： Jing, Zhang Li, Zhuo Lansun, Shen Signal and Information Processing Lab. Beijing University of Technology 100 PingLeYuan Chaoyang District Beijing 100124 China

ISBN: (纸本)9781424423118

The presented research addressed a novel visual attention model and watershed segmentation based approach of Regions of Interest (ROIs) extraction, which automatically extracts ROIs and copes with the watershed over-segmentation. This approach uses visual attention model to locate salient points, in which the winner point, the most salient point, is selected as the seed point of watershed segmentation. ROIs are extracted by combining salient regions with watershed segmented regions. The focus of attention (FOA) is shifted to measure the importance or interest of the extracted regions. The experimental results show that the proposed method is effective to reduce over-segmentation in auto-extracting ROIs and performs well for different objects. © 2008 IEEE.

关键词： Extraction

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Color correction for digital images based on the finite-dimensional linear-model

Color correction for digital images based on the finite-dime...

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International Conference on computer Science and Software Engineering, CSSE 2008

作者： Cai, Yiheng Cao, Meiling Ma, Meijuan College of Mechanical Engineering and Applied Electronics Technology Signal and Information Processing Lab. Beijing University of Technology Beijing 100124 China

ISBN: (纸本)9780769533360

The image color recorded in a computer vision system depends on three factors: the physical content of the scene, the illumination on the scene, and the characteristics of the camera. The goal of computational color correction is to reset the intensities of the color channels in digital images, and express the scene colors canonically. In the color correction method based on spectral reflectance reproduction, the finite-dimensional linear-model is an effective way to condense spectral reflectance. Since there are only three channels for each pixel in digital images, color correction based on spectral reflectance reproduction using the finite-dimensional model with three dimensions is needed. In the definite gamut, the spectral reflectance curves are analyzed using the finite-dimensional model. It is shown that reflectance generated by three basis functions which is capturing 99.13% of the overall variance, provides good approximations to the measured spectral reflectance. Together with the measured spectral power distribution of the illumination and the estimated spectral responses of the camera, the quantum catches are calculated. Errors caused by approximation of the finite-dimensional model are relatively small, which shows that color correction based on the finite-dimensional linear- model has feasibility to some extent. © 2008 IEEE.

关键词： Cameras

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A new word clustering method for building n-gram language models in continuous speech recognition systems

A new word clustering method for building n-gram language mo...

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21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2008

作者： Bahrani, Mohammad Sameti, Hossein Hafezi, Nazila Momtazi, Saeedeh Speech Processing Lab. Computer Engineering Department Sharif University of Technology Tehran Iran

ISBN: (纸本)354069045X

In this paper a new method for automatic word clustering is presented. We used this method for building n-gram language models for Persian continuous speech recognition (CSR) systems. In this method, each word is specified by a feature vector that represents the statistics of parts of speech (POS) of that word. The feature vectors are clustered by k-means algorithm. Using this method causes a reduction in time complexity which is a defect in other automatic clustering methods. Also, the problem of high perplexity in manual clustering methods is abated. The experimental results are based on "Persian Text Corpus" which contains about 9 million words. The extracted language models are evaluated by the perplexity criterion and the results show that a considerable reduction in perplexity has been achieved. Also reduction in word error rate of CSR system is about 16% compared with a manual clustering method. © 2008 Springer-Verlag Berlin Heidelberg.

关键词： Cluster analysis

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Lens-motor noise suppression for digital cameras

Lens-motor noise suppression for digital cameras

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2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2008

作者： Barazany, Avihay Levy, Royi Avargel, Yekutiel Signal and Image Processing Lab. Department of Electrical Engineering Technion - Israel Institute of Technology Technion City Haifa 3200 Israel

ISBN: (纸本)9781424424825

In this paper, we formulate a speech enhancement problem under multiple hypotheses, assuming an indicator for the lens motor noise presence is availab.e in the time domain. This approach is largely based on an existing speech enhancement algorithm [3], and was adapted to specifically handle lens motor noises. Hypothetical presence of speech together with an estimation of the stationary noise and the lens motor noise, are considered in the calculation of the desired signal spectral coefficients. Cost parameters control the trade-off between speech distortion and residual transient noise. An optimal estimator, which minimizes the mean-square error of the log-spectral amplitude, is derived, while taking into account the probability of erroneous detection. Experimental results demonstrate a substantial suppression of the motor noise with a minimal degrade to the perceived quality of the desired signal. © 2008 IEEE.

关键词： Spectrum analysis

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A voice activity detection using cyclic statistics based on sinusoidal speech model

A voice activity detection using cyclic statistics based on ...

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2008 9th International Conference on signal processing, ICSP 2008

作者： Hui-Jing, Dou Chang-Chun, Bao Ru-Wei, Li Speech and Audio Signal Processing Lab. School of Electronic Information and Control Engineering Beijing University of Technology Beijing 100124 China

ISBN: (纸本)9781424421794

In this paper, by using the cyclostationary properties of speech signal, a voice activity detection (VAD) algorithm based on cyclic cumulant is proposed. The proposed scheme employs the thirdorder cyclic cumulant of the LPC residual of a speech signal. Analytical expressions for the third-order cyclic cumulant of the LPC residual of short-term speech are derived assuming a sinusoidal model. Matrix pencil method (MP) are adopted to estimate the frequencies of harmonic signal contained in LPC residual of speech signal, which are used as the cyclic frequencies of cyclic cumulant. Then the third-order cyclic cumulant is defined and used to construct the VAD detection variation. The test results show that the proposed algorithm gives better results than G.729B VAD. © 2008 IEEE.

关键词： Speech recognition

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Exploiting constituent dependencies for tree kernel-based semantic relation extraction

Exploiting constituent dependencies for tree kernel-based se...

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22nd International Conference on Computational Linguistics, Coling 2008

作者： Qian, Longhua Zhou, Guodong Kong, Fang Zhu, Qiaoming Qian, Peide Jiangsu Provincial Key Lab. for Computer Information Processing Technology School of Computer Science and Technology Soochow University 1 Shizi Street Suzhou 215006 China

ISBN: (纸本)9781905593446

This paper proposes a new approach to dynamically determine the tree span for tree kernel-based semantic relation extraction. It exploits constituent dependencies to keep the nodes and their head children along the path connecting the two entities, while removing the noisy information from the syntactic parse tree, eventually leading to a dynamic syntactic parse tree. This paper also explores entity features and their combined features in a unified parse and semantic tree, which integrates both structured syntactic parse information and entity-related semantic information. Evaluation on the ACE RDC 2004 corpus shows that our dynamic syntactic parse tree outperforms all previous tree spans, and the composite kernel combining this tree kernel with a linear state-of-the-art feature-based kernel, achieves the so far best performance. © 2008. Licensed under the Creative Commons.

关键词： Semantics

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Improving PWF method of despeckle in polarimetrie SAR image by fusion based on nonsubsampled contourlet transform

Improving PWF method of despeckle in polarimetrie SAR image ...

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2008 International Workshop on Education technology and Training and 2008 International Workshop on Geoscience and Remote Sensing, ETT and GRS 2008

作者： Zhang, De-Xiang Wu, Xiao-Pei Gao, Qing-Wei Guo, Xiao-Jing The Key Lab. of Intelligent Computing and Signal Processing of Anhui University Hefei China The Institute of Electronic Science Technology of Anhui University Hefei China

ISBN: (纸本)9780769535630

A novel and efficient improving PWF method of speckle reduction in Polarimetrie SAR image by fusion based on nonsubsampled contourlet transform is proposed. First, the three complex elements (HH, HV, and W) of the Polarimetric scattering matrix were decorrelated to form a new elements matrix. Then we show that the sub-band decompositions of the three elements using nonsubsampled contourlet transform, and fusion factor is applied to the decomposed directional high-frequency coefficients to create new sub-band coefficients. Finally, we process and reconstruct multi-resolution contourlet coefficients according to the PWF method. Experimental results show that compared with PWF de-speckling algorithm, the proposed algorithm can achieve an excellent balance between suppresses speckle effectively and preserves image details, and the significant information of original image like textures and contour details is well maintained. © 2008 IEEE.

关键词： Synthetic aperture radar

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The EEG signal preprocessing based on empirical mode decomposition

The EEG signal preprocessing based on empirical mode decompo...

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2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008

作者： Zhang, De-Xiang Wu, Xiao-Pei Guo, Xiao-Jing Institute of Electronic Science and Technology Anhui University Hefei 230039 China Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China

ISBN: (纸本)9781424417483

The electroencephalogram (EEG) is widely used by physicians for interpretation and identification of physiological and pathological phenomena. However, the EEG signals are often corrupted by power line interferences noise and EMG induced noise. These artifacts strongly influence the utility of recorded EEGs and need to be removed for better clinical diagnosis. How to eliminate the effect of the noise is an important preprocessing problem in signal processing. In this paper, a novel and efficient power interferences reduction algorithm by the recently developed empirical mode decomposition (EMD) for the EEG signal is proposed. The principle of this method consists of decompositions of the EEG signal into a limited number of intrinsic mode function (IMF). This algorithm can effectively detect, separate and remove a wide variety of artifacts from EEG recording. Experimental results show that the proposed EMD-based algorithm is possible to achieve an excellent balance between suppresses power interference and EMG noise effectively and preserves as many target characteristics of original signal as possible.

关键词： Empirical mode decomposition

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A general detection method for linear constructed distributed space-time codes in amplify-and-forward mode of wireless cooperation networks

A general detection method for linear constructed distribute...

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2008 IEEE 67th Vehicular technology Conference-Spring, VTC

作者： Fanggang, Wang Wenbo, Wang Shengwei, Hou Wireless Signal Processing and Network Lab. Beijing University of Posts and Telecommunications Beijing 100876 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore

ISBN: (纸本)9781424416455

This paper presents a general detection method for linearly constructed distributed space-time codes (DSTC) in amplify-and-forward (AF) mode of wireless cooperation networks. A two-phase model for the network is utilized. In the first phase, multiple-antenna transmit nodes send signals simultaneously. Then the relays encode received signals with linearly constructed DSTC. Since linear dispersion (LD) codes subsume all linearly constructed STCs as special cases, when such DSTCs are used in AF mode of the network, a LD equivalent system model which is similar to V-BLAST structure is given in this paper. Thus, detection algorithms for V-BLAST can be utilized for the model effectively. Especially, linear complexity detection algorithms can be used in the network for practical implementations. Simulation results prove the LD equivalent model valid at last. © 2008 IEEE.

关键词： Dispersions

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