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Energy dispersive X-ray diffraction research using coherence function

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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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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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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RETRACTED ARTICLE: A dynamic simulation of force in the movement of ameba based on COSMOS

RETRACTED ARTICLE: A dynamic simulation of force in the move...

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作者： Chen, Lei Luo, Minzhou Mei, Tao Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Hefei Institute of Intelligent Machines CAS Hefei 230031 China Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei 230026 China

ISBN: (纸本)9780769540467

Imitation amoeba robot entering the space whose nominal size is smaller than itself can complete can perform many tasks inaccessible to other robots or humans such as surveillance, inspection, repair, cleaning, and exploration. Parameterized solid models of amoeba are established by using *** simulation analysis of the movement and the force situation in the movement is completed by using the software of COSMOS. The change of Amoeba entities that based on deformation of the ipmc material in effect ofthe control unit is researched. © 2010 IEEE.

关键词： Computer software

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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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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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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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3rd International Joint Conference on Computational Sciences and Optimization, CSO 2010: Theoretical Development and Engineering Practice

作者： Zheng, Yingying Zhang, Yongliang Liu, Yanli Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Institute of Intelligent Machines Chinese Academy of Science 230031 China Department of Automation University of Science and Technology of China 230027 China Anhui Institute of Architecture and Industry Hefei 230601 China

ISBN: (纸本)9780769540306

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. © 2010 IEEE.

关键词： Empirical mode decomposition

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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

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

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Performance of optimized TVOCs sensor

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Procedia Engineering 2010年 7卷 392-398页

作者： Fumin Peng Tao Luoa Yupeng Yuan Lingguang Qiu Laboratory of Advanced Porous Materials and College of Chemistry and Chemical Engineering Anhui University Anhui Hefei 230039 China Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Hefei Institute of Intelligent Machines Chinese Academy of Sciences Anhui Hefei 230031 China

In this paper, an improved TVOCs (total volatile organic compounds) sensor construction was studied. Base on this new construction, the optimized flow rate, the responding character and the linear range of detector were studied. The effect of different electrode positions on the signal intensity was tested at different voltages. Compared with traditional PID — axial PID3, the construction of this perpendicular PID could make the sensitivity loss decreased by a factor of 40%. Especially, a newly adopted automatic cleaning technique was tested, which could decrease the drift greatly and make the signal of the detector almost unchanged after two weeks of continuous detection. Due to this new construction, the response time was decreased and the accuracy consequently was improved. When coupled with automatic cleaning technique, labor intensive daily calibration and frequent lamp cleaning were eliminated. The improvements in this new design made the detector more compatible with field uses.

关键词： Photoionization detector Direct-reading and automated cleaning Total volatile organic compounds

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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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