检索结果-内蒙古大学图书馆

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

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

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

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

Energy dispersive X-ray diffraction research using coherence function

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

Predicting Arterial Stiffness from radial Pulse Waveform using support vector machines

引用

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

来源：评论

学校读者我要写书评

暂无评论

Partial least-squares regression for identification of liquid materials

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

Eye state detection in facial image based on linear prediction error of wavelet coefficients

Eye state detection in facial image based on linear predicti...

引用

2008 IEEE International Conference on robotics and Biomimetics, ROBIO 2008

作者： Cheng, Erkang Kong, Bin Hu, Rongxiang Zheng, Fei Center for Biomimetic Sensing and Control Research Institute of Intelligent Machine Chinese Academy of Science Hefei Anhui Province China Department of Automation University of Science and Technology of China Hefei Anhui Province China Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Anhui Province China

ISBN: (纸本)9781424426799

Eye state detection in facial image is a significant issue in face recognition, human-computer interface and driver fatigue monitoring system. In this paper, we first located the eye region in the upper area of the face region with AbaBoost algorithm. The linear predictor error distribution of wavelet coefficients was proposed as the statistics model to distinguish the eye states. We collected statistics (mean, variance, skewness, and kurtosis) of the prediction error distribution as eye state features. Build on these eye state features and support machine vector (SVM) with radial basis function (RBF) kernel a non-linear classifier is obtained by training samples of eye images. Experiment results with the classifier demonstrated that our method is an effective eye state detection approach which can satisfy various situations. © 2008 IEEE.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

The study and improvement of memory management based on SOS

The study and improvement of memory management based on SOS

引用

2008 IEEE International Conference on robotics and Biomimetics, ROBIO 2008

作者： Wu, Fuqing Meng, Max Q.-H. Wu, Lingfei Zhang, Zhuancheng Chen, Xijun Institute of Intelligent Machines Chinese Academy of Sciences Hefei Anhui Province China Department of Automation University of Science and Technology of China Hefei Anhui Province China Department of Electronic Engineering Chinese University of Hong Kong Sha tian Hong Kong Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Anhui Province China

ISBN: (纸本)9781424426799

the memory management of the embedded operating system has its unique traits. And so SOS operating system should have its own suitable methods for the memory management because of its small memory and resource constraint. This paper analyses the memory management of SOS operating system, and proposes a new data structure with the combination of memory management methods about μ C / OSII, then deeply probes into the memory allocation and recovery mechanisms, which provides an effective solution for memory management of SOS operating system. © 2008 IEEE.

关键词： Data structures

来源：评论

学校读者我要写书评

暂无评论

Design of WSN node based on CC2431 applicable to lunar surface environment

Design of WSN node based on CC2431 applicable to lunar surfa...

引用

2008 IEEE International Conference on robotics and Biomimetics, ROBIO 2008

作者： Zhang, Zhuancheng Meng, Max Q.-H. Wu, Fuqing Chen, Xijun Institute of Intelligent Machines Chinese Academy of Sciences Hefei Anhui Province China Department of Automation University of Science and Technology of China Hefei Anhui Province China Department of Electronic Engineering Chinese University of Hong Kong Shatian Hong Kong Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Anhui Province China

ISBN: (纸本)9781424426799

Firstly, the paper introduces the Wireless Sensor Networks (WSN) simply. It analyses the influence of lunar surface environment on the nodes of WSN and gives corresponding solutions. According to the characteristics of WSN and design requirements of the sensor node, we design a kind of sensor nodes which based on CC2431. Then the processor module, wireless communications module, location engine, power management module and temperature control module are described in detail. Finally, we conduct the localization experiment of blind nodes and robot navigation experiment. © 2008 IEEE.

关键词： Sensor nodes

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：