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International Workshop on intelligent Systems and Applications, ISA

作者： Haihui Wang Yanli Wang Tongzhou Zhao Miao Wang Mingpeng Wu Hubei Province Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan China School of Computer Science & Engineering Wuhan Institute of Technology Wuhan China

An algorithm of segmentation by using feature extraction techniques of Synthetic Aperture Radar (SAR) images in this paper. The segmentation processor are shown to be of interest for analysing SAR image data. The extracted and selected features are then used to train different neural-network based classifiers. Segmentation makes use of wavelet decomposition and unsupervised clustering based on PCA. The learning approach of neural networks is used for combining various features of different areas of an image. The outcomes of the proposed segmentation techniques are compared to the standard Gaussian discriminant analysis in the case of a real E-SAR image.

关键词： Image segmentation Feature extraction Principal component analysis Neural networks Wavelet analysis Wavelet transforms Image analysis Filtering Speckle Statistical analysis

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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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WRI International Conference on Communications and Mobile Computing, CMC

作者： Pin Lv Wen-bing Yu Nian-sheng Chen Hubei Province Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan Department of Computer Science Hubei Normal College Huangshi China

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.

关键词： Data privacy Publishing Protection Computer science Databases Mobile communication Mobile computing Laboratories intelligent robots Educational institutions

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The influence of X-ray wavelength and the simulative human skin and muscle obstruction on the detection of human body-hidden drugs by non-intrusive X-ray diffraction method

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Procedia Engineering 2010年 7卷 195-202页

作者： Bai Sun Minqiang Li Fang Zhang Yu Zhong Daoyang Yu Wei Lu Guoqiang Pan Jinhuai Liu The Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Anhui Province Institute of Intelligent Machines Chinese Academy of Sciences Hefei 230031 PR China National Synchrotron Radiation Laboratory University of Science and Technology of China Hefei 230029 PR China

In order to detect the body-hidden drugs non-intrusively and rapidly, the influence of the X-ray wavelength and covering of the simulative skin and muscle on the detection of methamphetamine sample by synchrotron radiation X-ray diffraction (SR-XRD) technique have been investigated. Synchrotron radiation based X-ray with three different wavelengths (1.29 Å, 1.54 Å, 1.80 Å) has been chosen as the X-ray source. The results indicate that the intensities as well as the number of the diffraction peaks of methamphetamine sample covered by simulative muscle decreased with the increasing of the X-ray wavelength from 1.29 Åto 1.80 Å. In addition, the intensities of the diffraction peaks for methamphetamine will be seriously affected by the covered simulative skin or muscle due to the X-ray absorption. Furthermore, the absorption of X-ray by the simulative muscle seems much stronger than that of the simulative skin. Moreover, the specific molecular structure of the methamphetamine sample has been obtained by X-ray diffraction method.

关键词： Drug detection SR-XRD Methamphetamine Molecular structure

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Predicting Arterial Stiffness from radial Pulse Waveform using support vector machines

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Procedia Engineering 2010年 7卷 458-462页

作者： Yingying Zheng Yongliang Zhang Zuchang Ma Yining Sun Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Institute of Intelligent machines Chinese Academy of Sciences Hefei 230031 China Department of Automation University of Science and Technology of China Hefei 230027 China

Cardiovascular disease (CVD) is a larger cause of mortality in the developed country; hence, the early detection of its onset is vital for effective prevention. Arterial stiffness as measured by radial augmentation index (AIx) has been shown to be an independent predictor of CVD; however, the measurement of AIx is complex and not easily obtained precisely. A new approach based on the implementation of support vector machine (SVM) is presented for classification of radial pulse waveform. The radial pulse signals was decomposed into time-frequency representations using discrete wavelet transform (DWT) and wavelet scale-energy were calculated to represent the signals. The purpose is to predict an optimum classification scheme. The result demonstrated that the wavelet scale-energy are the features which well represent the radial Pulse Waveforms and the SVM trained on these features achieved high classification accuracies.

关键词： Arterial stiffness Support vector machine Discrete wavelet transform Wavelet packet energy entropy

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Automatic Face Replacement in Video Based on 2D Morphable Model

Automatic Face Replacement in Video Based on 2D Morphable Mo...

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International Conference on Pattern Recognition

作者： Feng Min Nong Sang Zhefu Wang Hubei Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan China Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424475421

This paper presents an automatic face replacement approach in video based on 2D morphable model. Our approach includes three main modules: face alignment, face morph, and face fusion. Given a source image and target video, the Active Shape Models (ASM) is adopted to source image and target frames for face alignment. Then the source face shape is warped to match the target face shape by a 2D morphable model. The color and lighting of source face are adjusted to keep consistent with those of target face, and seamlessly blended in the target face. Our approach is fully automatic without user interference, and generates natural and realistic results.

关键词： Face Shape Lighting Image color analysis Three dimensional displays Facial features Solid modeling

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Identification of liquid materials using energy dispersive X-ray scattering

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Procedia Engineering 2010年 7卷 135-142页

作者： Yu Zhong Bai Sun Daoyang Yu Wei Li Yu Zhang Minqiang Li Jinhuai Liu Key Laboratory of Biomimetric Sensing and Advanced Robot Technology Institute of Intelligent Machines Chinese Academy of Sciences Hefei 230031 PR China Anhui Provincial Laboratory of Biomimetic Sensor and Detecting Technology West Anhui University Anhui Lu’an 237012 237012 PR China

Energy dispersive X-ray scattering (EDXRS) has been successfully applied for the identification of liquid materials for the first time. Three liquid systems of primary alcohols, ketones compounds and acids are carefully investigation and the scattering spectra are described. Based on structural and compositional differences of compounds, the scattering profiles of all samples exhibit characteristic shapes, indicating that EDXRS profile is unique to each specific liquid material. These findings imply that EDXRS would be promisingly applied as a non-invasive inspection for liquid identification.

关键词： Liquid materials Energy dispersive X-ray scattering Detection Identification

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Mesoporous Activated Carbons Derived from Bamboo Solid Wastes: Preparation, Characterization and Applications

Mesoporous Activated Carbons Derived from Bamboo Solid Waste...

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International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Kun Huang Wei Lu Jia Guo Ye Luo Qi-zhe Ye School of Chemical Engineering and Pharmacy Key Laboratory of Green Chemical Process of Ministry of Education Wuhan Institute of Technology Wuhan China School of Science Hubei Provincial Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan China

Feasibility of preparing mesoporous activated carbons from bamboo solid waste was investigated. The effects of activation conditions, e.g. CO 2 flow-rate, activation temperature and retention time, on the characteristics of the activated carbons, i.e. density, porosity, BET surface area, pore size distribution, and surface chemistry were studied. The experimental results showed that it was feasible to prepare mesoporous activated carbon from bamboo solid waste, and to apply for Chinese herb (e.g. Puerarin) separation and purification.

关键词： Mesoporous materials Solids Carbon dioxide Temperature Resins Laboratories Chemical processes Chemical technology Educational technology Furnaces

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Linear Estimation for Multipath Time-delayed Discrete Systems

Linear Estimation for Multipath Time-delayed Discrete System...

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The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

作者： Jie Yan Xiao Lu Qiong Pu Key Laboratory for Robot & Intelligent Technology of Shandong Province Shandong University of Scienc Mechatronic Engineering Department Shandong Agricultural Administrators College Jinan 250100 China

ISBN: (纸本)9781424451814

The paper deals with the Kalman filtering problem for a linear discrete-time system with both instantaneous and time-delayed measurements, where the delayed measurements are from multipath or multi-channel. Different from the standard system, multipath delayed measurements are introduced in the state-space. Projection formulation and reorganized innovation analysis are used to deal with such a problem. The solution to the derived Kalman filter is given in terms of Riccati difference equations.

关键词： Multipath Kalman filtering Delayed measurements

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Partial least-squares regression for identification of liquid materials

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Procedia Engineering 2010年 7卷 130-134页

作者： Wei Li Yu Zhong Yu Zhang Daoyang Yu Bai Sun Minqiang Li Jinhuai Liu Key Laboratory of Biomimetric Sensing and Advanced Robot Technology Institute of Intelligent Machines Chinese Academy of Sciences Hefei 230031 PR China Department of Automation University of Science and Technology of China Hefei 230031 PR China

Partial least-squares (PLS) regression was demonstrated as a promising suitable method to identify quantitatively liquid materials based on the profile of energy dispersive X-ray scattering spectrum in this paper. Methanol, ethanol, sulfuric acid and acetic acid of different concentrations were measured under conditions of the scatter angle of 7°and the count time of 5 min. The results showed that the regression of concentration was effective. This suggests that PLS can be employed in detecting liquid materials.

关键词： Partial least-squares Energy dispersive X-ray scattering Liquid materials Liquid explosives Precursor chemicals

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A novel biometrie recognition system based on ground reaction force measurements of continuous gait

A novel biometrie recognition system based on ground reactio...

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Conference on Human System Interactions, HSI

作者： Zhi-Ming Yao Xu Zhou Er-Dong Lin Su Xu Yi-Ning Sun Department of Automation University of Science and Technology Hefei Anhui China The Key Laboratory of Biomimetic Semsing and Advanced Robot Technology Institute of Intelligent Machines Chinese Academy and Sciences Hefei Anhui China

A novel biometric recognition system is designed in this paper, using ground reaction force (GRF) measurements of continuous gait. Original GRF signals are combined in three directions Respectively. Waveform interpolation and align ment are performed to meet th e demand of feature extraction ba sed on wavelet packet (WP) decomposition, re-sampling approach is utilized to expand valid training sets. Features are s elected u sing a fuzzy set-based features election criterion. Classification is accomplished using a kernel-based support vector machine (SVM). The parameter tuning of the S VM classifier is performed using a grid searching method. The approach is tested on a database comprising GRF records obtained from 103 subjects. Comparative results demonstrate that re-sampling approach and waveform interpolation and alignment can improve the recognition accuracy.

关键词： Force measurement Interpolation Support vector machines Support vector machine classification Biometrics Feature extraction Wavelet packets Fuzzy sets Nominations and elections Virtual manufacturing

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