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检索条件"机构=Key Laboratory of Intelligence Computing and Signal Processing"

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Detecting of requirements inconsistency: an ontology-based approach

Detecting of requirements inconsistency: an ontology-based a...

引用

International Conference on Computer and Information Technology (CIT)

作者： Xuefeng Zhu Zhi Jin Graduate School of Chinese Academy of Sciences Beijing China Key Laboratory of Intelligence Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Chinese Academy and Sciences Beijing China

Detecting of requirements inconsistency is key to the development of heterogeneous software system. But at present, although there is a lot of work on the detecting of requirements inconsistency, most of them is limited in detecting of requirements inconsistency at syntax level, we still lack of a promising method for the detection of requirements inconsistency at semantic level. Based on an abstract requirement refinement process model, this paper takes domain ontology as infrastructure for the refinement of software requirements, software requirements can then be seen as interactions between software agents and the ambiences they exist. We assume that the real effect of these interactions is to make the state of ambience changed, so we explicitly represent requirements of software agents as a set of state transition diagrams, each is for one entity in the ambience. And we realized semantic level inconsistency detecting of software requirements based on state transition of ambience.

关键词： Ontologies Software systems Software agents Intelligent agent Humans Information processing Computers Mathematics Automation Inspection

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Inconsistency measurement of software requirements specifications: an ontology-based approach

Inconsistency measurement of software requirements specifica...

引用

IEEE International Conference on Engineering of Complex Computer Systems

ISBN: (纸本)076952284X

Management of requirements inconsistency is key to the development of complex trustworthy software system, and precise measurement is precondition for the management of requirements inconsistency properly. But at present, although there are a lot of work on the detection of requirements inconsistency, most of them are limited in treating requirements inconsistency according to heuristic rules, we still lacks of promising method for handling requirements inconsistency properly. Based on an abstract requirements refinement process model, this paper takes domain ontology as infrastructure for the refinement of software requirements, the aim of which is to get requirements descriptions that are comparable. Thus we can measure requirements inconsistency based on tangent plane of requirements refinement tree, after we have detected inconsistent relations of leaf nodes at semantic level.

关键词： Software measurement Ontologies Software systems Software development management Technology management Information processing Computers Mathematics Software quality Boundary conditions

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A stereo matching algorithm based on multiresolution and epipolar constraint

A stereo matching algorithm based on multiresolution and epi...

引用

International Conference on Image and Graphics (ICIG)

作者： Wei Zhang Quanbing Zhang Lei Qu Sui Wei Key Laboratory of Intelligence Computing and Signal Processing Anhui University Hefei Anhui China

Stereo matching is one of the most active research areas in computer vision. In this paper, a fast stereo matching algorithm by means of epipolar constraint and multiresolution approach was presented. The searching scope of corresponding pixels in the original image is obtained and has diminished a lot based on multiresolution approach. Then intensity correlation principle and epipolar constraint can be applied to get the stereo matching results in this scope. In this way, we reduce the search time for correspondence and ensure the validity of matching. The experimental results show this algorithm is effective and efficient.

关键词： Stereo vision signal processing algorithms signal resolution Computer vision Pixel Image resolution Cameras Geometry Image analysis Distortion measurement

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Greedy EM algorithm for robust t-mixture modeling

Greedy EM algorithm for robust t-mixture modeling

引用

International Conference on Image and Graphics (ICIG)

作者： Sibao Chen Haixian Wang Bin Luo Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei China

This paper concerns a greedy EM algorithm for t-mixture modeling, which is more robust than Gaussian mixture modeling when a typical points exist or the set of data has heavy tail. Local Kullback divergence is used to determine how to insert new component. The greedy algorithm obviates the complicated initialization. The results are comparable to that of split-and-merge EM algorithm while the proposed algorithm is faster. Also the by product of a sequence of mixture models is useful for model selection. Experiments of synthetic data clustering and unsupervised color image segmentation are given.

关键词： Robustness signal processing algorithms Clustering algorithms Tail Greedy algorithms Convergence Gaussian distribution Color Image segmentation Probability distribution

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Watermark extraction by magnifying noise and applying global minimum decoder

Watermark extraction by magnifying noise and applying global...

引用

International Conference on Image and Graphics (ICIG)

作者： Zhigeng Pan Li Li Mingmin Zhang D. Zhang State Key Laboratory of CAD&CG University of Zhejiang Hangzhou China Hangzhou Dianzi University Hangzhou China Multimedia Signal Processing and Department of Computing Polytechnic University Hong Kong China

For the classical watermark embedment model I = 1 + /spl alpha/W, the corresponding watermark detection has its limitation in its need of a fixed parameter for extracting watermarks. If the extraction parameter is too large, we cannot extract the watermark from the image that contains watermarks; if it is too small, the extracted watermarks may be blurred. This paper proposes a novel watermark extraction method. First, we treat the watermark information as noise for the watermarked image in its spatial domain. We then magnify the noise before detection. Next, we recover the watermark information by adjusting the extracted data from the frequency domain according to our global minimum method. Experimental results show that our watermark extraction method is more valid and accurate than the classical method. It can greatly reduce extraction errors.

关键词： Watermarking Decoding Data mining Frequency domain analysis Computer networks signal processing Embedded computing Electronic mail Computer errors Information security

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A public mesh watermarking algorithm based on addition property of Fourier transform

A public mesh watermarking algorithm based on addition prope...

引用

International Conference on Image and Graphics (ICIG)

作者： Li Li Zhigeng Pan David Zhang Hangzhou Dianzi University Hangzhou China State Key Laboratory of CAD&CG University of Zhejiang Hangzhou China Multimedia Signal Processing and Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong China

This paper presents a public mesh watermarking algorithm. First, the resultant watermarked image minus the original image is the watermark information. According to the addition property of the Fourier transform, a change of spatial domain will cause a change in the frequency domain. Then, the watermark information is scaled down and embedded in one part of the x-coordinate of the original mesh. Finally, the x-coordinate of the test mesh is amplified before extraction. Experimental results prove that our algorithm is resistant to a variety of attacks without the need for any preprocessing.

关键词： Watermarking Fourier transforms signal processing algorithms Data mining Frequency domain analysis Wavelet domain Partitioning algorithms Noise robustness Equations Electronic mail

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A new algorithm for 3D projective reconstruction based on infinite homography

A new algorithm for 3D projective reconstruction based on in...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Quan-Bing Zhang Hai-Xian Wang Sui Wei Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei China

ISBN: (纸本)0780378652

This paper investigates the problem of how to carry out 3D scene reconstruction from multiple views. It improves the algorithms of projective reconstruction based on the homography induced by the infinite plane which should have 4 points on a reference plane visible in all views given by Hartley and Rother et al., and proposes a new linear algorithm based on 3 points on a reference plane visible in all views. It avoids the difficult task of determining whether 4 object points are coplanar or not, because 3 points which are not collinear just determine a plane.

关键词： Image reconstruction Cameras signal processing algorithms Layout Transmission line matrix methods Inverse problems Gold Measurement standards Maximum likelihood estimation Position measurement

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Mental EEG analysis based on independent component analysis

Mental EEG analysis based on independent component analysis

引用

International Symposium on Image and signal processing and Analysis

作者： Xiaopei Wu Xiaojing Guo The Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University China

ISBN: (纸本)953184061X

The patterns of EEG changes with the mental tasks performed by the subject. In the field of EEG signal analysis and application, the study to get the patterns of mental EEG and then to use them to classify mental tasks has the significant scientific meaning and great application value. But for the reasons of different artifacts contained in EEG, the pattern detection in EEG produced from normal mental states is a very difficult problem. In this paper, independent component analysis is applied to EEG signals collected from different mental tasks .The experiment results show that when one subject performs a single mental task in different trails, the independent components of EEG are very similar. It means that the independent components can be used as the mental EEG patterns to classify the different mental tasks.

关键词： Independent component analysis Electroencephalography signal processing signal processing algorithms Bioelectric phenomena Biomedical signal processing signal analysis Humans Electric potential Brain modeling

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A self-adjusting and probabilistic decision-making classifier based on the constructive covering algorithm in neural networks

A self-adjusting and probabilistic decision-making classifie...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Yan-Ping Zhang Tao Wu Ling Zhang Ministry of Education Key Laboratory of Intelligent computing & Signal Processing Anhui University Hefei China

ISBN: (纸本)0780375084

It usually needs complicated nonlinear operations to get the characteristics from the raw information inputted, and it is very difficult to find this kind of algorithm directly. The geometrical meaning of the multilayer perceptron's neuron model indicates that classifying samples according to the requirements by constructing neural networks is equal to finding a collection of domains with which vectors of the preset sample sets are partitioned. But in some applications, such as time series forecasting including stock share forecasting, due to their preset sample sets may contain some exceptions and erroneous results, it is desired to introduce some self-adjusting and probabilistic decision-making mechanism to enhance the accuracy of classification. At the same time the mechanism can reduce the size of neural networks and speed up the recognition process. We discuss a self-adjusting and probabilistic decision-making mechanism for the covering algorithm. Based on the method, we developed a self-adjusting and probabilistic decision-making classifier and applied the software package to forecast the share index of Shanghai's stock market.

关键词： Decision making Intelligent networks Neural networks signal processing algorithms Support vector machines Neurons Solid modeling Stock markets Kernel Economic forecasting

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Panoramic mosaicing with image interpolation

Panoramic mosaicing with image interpolation

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International Symposium on Intelligent Multimedia, Video and Speech processing

作者： Zong-Cai Ruan Dong Liang Sui Wei Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University of Science and Technology Hefei China

ISBN: (纸本)9628576623

Panoramic mosaics methods based on an 8-parameter planar homography matrix have to overcome the accumulated errors when a sequence of images loops back on itself. Usual methods are computationally intensive, and cannot ensure complete consistency of homographies. The paper presents a simple method which does not require the consistency of homographies. The method mainly exploits an un-calibrated image perspective interpolation technique (B. Yuan et al., 1998). It is therefore simple to calculate and easy to implement.

关键词： Interpolation Transmission line matrix methods Matrix decomposition Equations Error correction Computational intelligence signal processing Nonlinear optics Optical signal processing Image motion analysis

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