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International Workshop on Education technology and Computer Science, ETCS

作者： Zhao Tongzhou Wang Yanli Wang Haihui Hubei Province Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan China Wuhan Institute of Technology Wuhan CN

Notice of Violation of IEEE Publication Principles “Image Fusion Based on Multi-scale Kalman Filtering” by Tongzhou Zhao, Yanli Wang, Haihui Wang in the Proceedings of the Second International Workshop on Education technology and Computer Science, March 2010, pp. 207-215 After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE’s Publication Principles. This paper is a duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission. Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article: “Radar Image Fusion by Multiscale Kalman Filtering” by G. Simone, F.C. Morabito, A. Farina in the Proceedings of the Third International Conference on Information Fusion, July 2000, pp. 10-17 An image fusion algorithm, based on the Multiscale Kalman Filter (MKF), has been applied to combine remotely sensed data, acquired by radars having different resolutions and can improved information carried by each input image. The considered images have been acquired during the AIRSAR Mission and SIR-C/X-SAR Mission. The data have been co-registered to refer each pixel of each image to a common regular grid. The image fusion algorithm has been tested, and the merged images have been presented at different resolutions. A lineament detection algorithm based on the Hough transform, has been applied to the full resolution input data and to the full resolution merged data. The Golden Gate bridge has been detected in both images, but the computed probability of false alarm is lower in the case of the finest scale merged image than in the finest scale input image. This fact demonstrates that the knowledge provided by the

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A Fast 2D Discrete Tchebichef Transform Algorithm

A Fast 2D Discrete Tchebichef Transform Algorithm

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Asia-Pacific Conf on (CICC-ITOE) Innovative Computing and Communication, Intl Conf on and Information technology and Ocean Engineering

作者： Wei Huang Shuai Chen Gengsheng Zheng Hubei Province Key Laboratory of Intelligent Robot School of Computer Science and Engineering Wuhan Institute of Technology Wuhan China

Discrete Tchebichef moments have been used in some recent image processing applications due to their advantage of preserving the analytical properties. However, the computation of Tchebichef moments is time-consuming. This paper presents a fast Tchebichef transform algorithm for binary images represented by Image Block Representation (IBR). The new algorithm calculates Tchebichef moments of an image by accumulating Tchebichef moments of the images corresponding to the blocks in the IBR of this image, and hence improves the computational efficiency. The experimental results in this paper show performance improvement over existing techniques in terms of CPU elapsed time.

关键词： Discrete transforms Polynomials Image processing Image analysis Computational efficiency Underwater communication Information technology Oceans Laboratories intelligent robots

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GSSK: A Generalization step safe algorithm in anonymizing data

GSSK: A Generalization step safe algorithm in anonymizing da...

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2010 International Conference on Communications and Mobile Computing, CMC 2010

作者： Pin, L.V. Yu, Wen-Bing Chen, Nian-Sheng School of Computer Science and Engineering Wuhan Institute of Technology Wuhan 430073 China School of Science Wuhan Institute of Technology Wuhan 430073 China Hubei Province Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan 430073 China Department of Computer Science Hubei Normal College Huangshi 435000 China

ISBN: (纸本)9780769539898

It is necessary to reduce the steps of generalization in order to minimize information loss in privacy preserving data publishing, but sometimes the anonymous table on basis of the method could still be attacked. To solve the problem, the condition of attack is analyzed, and a m-threshold model is presented to decide whether the value of quasi-identifier attribute would be continuously generalized, making use of algorithm of SSGK dealing with the model. Computer experiments show that the GSSK algorithm can prevent the attack with little information loss. © 2010 IEEE.

关键词： Data privacy

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Evolution and Representation on Data Information Knowledge Strategy

Evolution and Representation on Data Information Knowledge S...

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International Symposium on Information Engineering and Electronic Commerce, IEEC

作者： Jiemin Ding Weibo Li School of Computer Science and Engineering Hubei Province Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan Hubei China

In this paper, we studied respectively the relationship among the data and information, information, knowledge and strategy content, combining with the decision-making process of human beings on understanding and optimizing the world. We also discussed variety representations of knowledge, and focused on analysis of object-oriented knowledge representation and put forward the basic description framework, summarizing the process that information, knowledge and intelligence are formed, which provided an important way for exploring the mechanism of intelligence.

关键词： Laboratories intelligent robots Computer science Data engineering Knowledge engineering Decision making Knowledge representation Informatics Humans Information analysis

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Notice of Retraction: Course Study and Reform on Teaching the Principles of Database System

Notice of Retraction: Course Study and Reform on Teaching th...

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International Workshop on Education technology and Computer Science, ETCS

作者： Jiemin Ding Weibo Li Hubei Province Key Laboratory of Intelligent Robot School of Computer Science and Engineering Wuhan Institute of Technology Wuhan Hubei China

This article has been retracted by the publisher.

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Identification of pure liquid precursor chemicals based on coherence function and fourier transform using energy dispersive X-ray diffraction scattering

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Procedia Engineering 2010年 7卷 158-164页

作者： Dingjun Qu Daoyang Yu Wei Li Yu Zhang Bai Sun Yu Zhong Minqiang Li Jinhuai Liu Key Laboratory of Biomimetric Sensing and Advanced Robot Technology Institute of Intelligent Machines Chinese Academy of Sciences Hefei PR China Department of Automation University of Science and Technology of China Hefei PR China

A new method based on Fourier transform and coherence function was used to identify pure liquid precursor chemicals in this paper. Feature scattering spectra of several kinds of pure liquid precursor chemicals were detected through energy-dispersive X-ray scattering (EDXRS). These spectra, each of which was unique to particular liquid in the same case, were processed with coherence function after truncation and wavelet denoising. A suitable frequency was proved useful in calculation of similarity for liquid identification. In this work, the method mentioned above showed to be useful and effective to identify the unknown liquid materials whose samples were saved in the database.

关键词： Precursor chemicals Coherence function Energy-dispersive X-ray scattering Wavelet denoising Fourier transform

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Energy dispersive X-ray diffraction research using coherence function

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Procedia Engineering 2010年 7卷 165-171页

作者： Daoyang Yu Minqiang Li Wei Li Fang Zhang Bai Sun Jinhuai Liu Key Laboratory of Biomimetric Sensing and Advanced Robot Technology Institute of Intelligent Machines Chinese Academy of Sciences Hefei PR China Department of Automation University of Science and Technology of China Hefei PR China

A method based on energy dispersive X-ray diffraction (EDXRD) spectrum of illicit objects of complex background using coherence function was proposed. After theoretical analysis and calculation of the coherence function, we got the best extracting frequency and the numbers of segment, and the results can also ensure that the requirements of resolution and smoothness. Then, the spectra of EDXRD of several samples of complex background were identified by coherence function, which method has been proved effective and reasonable in identifying the presence of suspicious objects packaged with complex background.

关键词： Identification of illicit objects Energy dispersive X-ray diffraction Coherence function

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Mining Web Log Sequential Patterns with Layer Coded Breadth-First Linked WAP-Tree

Mining Web Log Sequential Patterns with Layer Coded Breadth-...

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2010 International Conference of Informationa Science and Management Engineering(2010年信息科学与管理工程国际学术会议 ISME 2010)

作者： Lizhi Liu Jun Liu Hubei Province Key Laboratory of Intelligent Robot Wuhan Institute of Technology School of Computer Science and Engineering Wuhan Institute of Technology Wuhan Hubei China

Sequential mining is the process of applying data mining techniques to a sequential database for the purposes of discovering the correlation relationships that exist among an ordered list of events. An important application of sequential mining techniques is web usage mining, for mining web log accesses, which the sequences of web page accesses made by different web users over a period of time, through a server, are recorded. Web access pattern tree (WAPtree) mining is a sequential pattern mining technique for web log access sequences. This paper proposes a more efficient approach for using the BFWAP-tree to mine frequent sequences, which reflects ancestordescendant relationship of nodes in BFWAP tree directly and efficiently. The proposed algorithm builds the frequent header node links of the original WAP-tree in a Breadth-First fashion and uses the layer code of each node to identify the ancestordescendant relationships between nodes of the tree. It then, finds each frequent sequential pattern, through progressive Breadth-First sequence search, starting with its first Breadth-First subsequence event Experiments show huge performance gain over the WAP-tree technique.

关键词： sequential patterns Web usage mining BFWAP-tree mining layer codes

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The research of pulse wave signal denosing based on EMD and ICA

The research of pulse wave signal denosing based on EMD and ...

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The Third International Joint Conference on Computational Science and Optimization(第三届计算科学与优化国际大会 CSO 2010)

作者： Yingying Zheng Yongliang Zhang Yanli Liu Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Institute of Intelligent Machine Anhui institute of Architecture & Industry Hefei 230601 China

Pulse wave is easily contaminated by noise when being sampled and processed. In order to extract and analyze the useful information involved, the paper presents a novel denoising algorithm based on empirical mode decomposition (EMD) and independent component analysis (ICA).First, the signal is decomposed by EMD ,then a series of intrinsic mode functions (IMFs) and the remainder can be obtained. Second, ICA will be performed to separate independent components from IMFs. At last, these independent components will be used to reconstruct the pulse wave signal. By using the method, we are able to separate noise and estimate desired source signals from pulse wave signal. Experimental results substantiate the strong potential of the proposed method for pulse wave signal noise separation.

关键词： Empirical mode decomposition independent component analysis pulse wave signal

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Analysis of skin influence in identification of heroin using singular value decomposition

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Procedia Engineering 2010年 7卷 185-189页

作者： Yu Zhang Minqiang Li Yu Zhong Wei Li Bai Sun Daoyang Yu Jinhuai Liu Department of Automation University of Science and Technology of China Hefei 230027 China Key Laboratory of Biomimetric Sensing and Advanced Robot Technology Institute of Intelligent Machines Chinese Academy of Sciences Hefei China

In this paper, the influence of skin in energy-dispersive X-ray diffraction (EDXRD) spectrum of heroin was studied using singular value decomposition (SVD). The spectra of pure heroin, skin and heroin covered by skin were organized as matrices for SVD after truncation and smoothing. It was demonstrated that the two largest singular values and their corresponding left and right singular vectors of each matrix could reconstruct the matrix in the permissible error and contained enough information of the matrix. We extracted the two largest singular values of each matrix as two dimensions of the feature point of the corresponding spectrum. The feature points of different samples were clustered and a linear relationship was proved to be between and movement of feature point and thickness of component of skin, such as fat and muscle. This indicated that the method of SVD may be suitable for identification of heroin covered by skin.

关键词： Heroin identification Singular value decomposition Energy-dispersive X-ray scattering

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