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A research of heart rate prediction model based on evolutionary neural network

A research of heart rate prediction model based on evolution...

引用

2011 IEEE International conference on intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011

作者： Xiao, Feng Yuchi, Ming Ding, Mingyue Jo, Jun Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Life College of Science and Technology Huazhong University of Science and Technology Wuhan China School of Information and Communication Technology Griffith University QLD Australia

ISBN: (纸本)9780769546230

Heart rate (HR) signal analysis is widely used in the medicine and medical research area. Physical activities (PA) are commonly recognized to greatly affect the changes of heart rate. A method of Evolutionary Neural Network - Neuro-evolution of Augmenting Topologies (NEAT) is used to build a PA-based HR predictor model. Through special coding, crossover and mutation operator, NEAT can implement network topology and connectivity weights evolution simultaneously. The common problem in evolutionary neural network, like competing conventions, how to protect the new innovation are effectively solved. The experimental results demonstrated the application potential of the approach. © 2011 IEEE.

关键词： Neural networks

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RETRACTED ARTICLE: A wearable system for epidural spinal cord stimulation in freely moving rats

RETRACTED ARTICLE: A wearable system for epidural spinal cor...

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作者： Zhou, Hui Xu, Qi He, Jiping Ren, Hangkong Zhou, Houlun Zheng, Kejia Control Department of Control Science and Engineering Key Laboratory of Image Processing and Intelligent Huazhong University of Science and Technology Wuhan China Department of Anatomy Tongji medical college Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424450893

This paper describes a wearable stimulating system to investigate the effects of epidural spinal cord stimulation (ESCS) on the improvement of locomotion performance in rats with incomplete spinal cord injury (ISCI). The preliminary experiment was conducted in a 240 g Sprague Dawley rat. With different spinal cord stimulation intensities, the EMG signal was recorded from hindlimb using needle recording electrode in rats under anesthesia. It is shown that the proposed stimulating system is available for the chronic stimulation in the ISCI rodent model to investigate the mechanism of ESCS on the improvement of locomotion performance for ISCI patients. © 2011 IEEE.

关键词： Rats

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On-line signature verification using wavelet packet

On-line signature verification using wavelet packet

引用

IEEE International Joint Conference on Biometrics (IJCB)

作者： Kaiyue Wang Yunhong Wang Zhaoxiang Zhang Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media Beihang University Beijing China

ISBN: (纸本)9781457713583

In this paper, we propose a novel approach for on-line signature verification using wavelet packet. Signatures are first normalized and resampled, thus they have the same number of sample points. Then, several types of local features are extracted, so that wavelet transform can be applied on them. After that, we conduct experiments to select the best local features, wavelet bases and wavelet packet settings. Also, experiments are carried out to verify the reliability and efficiency of our approach, which performs better than discrete wavelet transform and competes with the state-of-arts.

关键词： Feature extraction Discrete wavelet transforms

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Breaking des in tile assembly models

Breaking des in tile assembly models

引用

4th International Workshop on Advanced Computational Intelligence, IWACI 2011

作者： Chen, Zhihua Xu, Jin Shi, Xiaolong Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China School of Electronics Engineering and Computer Science Peking University Beijing 100871 China

ISBN: (纸本)9781612843735

The potential use of molecular computation in attacking the Data Encryption Standard (DES) is already known, but the used computing models are not autonomous and require many tedious laboratory steps to execute. In this paper, a description of attacking DES using tile self assembly models in Θ(1) distinct tile types is given theoretically. The computation takes advantage of tiles' autonomy and the characteristic of highly distributed parallel computation. Each assembly configuration yields the ciphertext in linear time with respect to the times of the round function included in DES. The feasibility of finding the main key of DES in tile assembly models has been discussed. Analysis indicates that the tile assembly models might succeed by using a little of DNA under low error rate. © 2011 IEEE.

关键词： Self assembly

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Tuning of Auto-Disturbance Rejection Controller based on the invasive weed optimization

Tuning of Auto-Disturbance Rejection Controller based on the...

引用

6th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2011

作者： Chen, Zhihua Wang, Shuo Deng, Zhonghua Zhang, Xuncai Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China School of Electrical and Electronic Engineering Zhengzhou University of Light Industry Zhengzhou 450002 China

ISBN: (纸本)9780769545141

Auto-Disturbance Rejection Controller (ADRC) has been proved to be a capable replacement of PID with unmistakable advantage in performance and practicality. But it is difficult to obtain a set of optimal parameters, for ADRC controller has too many parameters and has no deterministic rules to compute the parameters. In this paper, Objective function is constructed based on the control system performance indexes. Combined with experienced parameters of ADRC, an invasive weed optimization algorithm (IWO) is employed to obtain a set of key parameters. The simulation results show the validity of the IWO algorithm. © 2011 IEEE.

关键词： Invasive weed optimization

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Research on the optimization of water-cooling control in high-speed steel rolling system based on Bayesian network

Research on the optimization of water-cooling control in hig...

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4th International Workshop on Advanced Computational Intelligence, IWACI 2011

作者： Zhang, Chong Tan, Gangjun Shi, Xiaolong Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China

ISBN: (纸本)9781612843735

The existing high-speed wire production line of Wuhan Iron and Steel Group Corporation has the shortage that reliability of water-cooling control system is poor, the temperature of rolling line fluctuation range is large. Taking these problems into consideration, we build a water-cooling temperature model based on Bayesian network in order to improve the control accuracy. And the optimized system works well in the industrial site. © 2011 IEEE.

关键词： Bayesian networks

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Spectral clustering based unsupervised change detection in SAR images

Spectral clustering based unsupervised change detection in S...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Xiangrong Zhang Zemin Li Biao Hou Licheng Jiao Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an China

An unsupervised change detection method based on spectral clustering and difference image methods for multitemporal single-channel single-polarization synthetic aperture radar (SAR) images is proposed. The difference image is generated by integrating the typical difference image method with Non-Local Filter, which exploits both the spatial neighborhood information and gray similarity information, and can well reduce the speckle noises of SAR images. The spectral clustering algorithm is employed to cluster the difference image into two clusters and get the change map. Compared with traditional clustering algorithms, such as A-means, SC can recognize the clusters of unusual shapes and obtain the globally optimal solutions. Experimental results confirm the effectiveness of the proposed techniques.

关键词： Clustering algorithms Remote sensing Principal component analysis Change detection algorithms Synthetic aperture radar Sensors Noise

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Partial Differential Equation Model Method Based on image Feature for Denoising

Partial Differential Equation Model Method Based on Image Fe...

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International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping

作者： Xiaohua Zhang Ran Wang L. C. Jiao Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an China

For the special different nature images, we could hardly find particularly desirable approach, and there always exist Gibbs-type artifacts in the results of most methods. A novel Partial Differential Equation (PDE) model is proposed based on image feature for images denoising. The PDE model is adaptive within each region according to the details of the image feature to adjust the size of the diffusion coefficient. So it can be disposed the high gradient noise at the same time better to retain the edge information. We also analyze the performance of the PDE model method. Numerical results show that our algorithm competes favorably with state of the-art TV projection methods to eliminate noise and reduce Gibbs-type artifacts.

关键词： Mathematical model TV image edge detection Noise reduction Noise Noise measurement Numerical models

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image Denoising with Non-Local Means in the Shearlet Domain

Image Denoising with Non-Local Means in the Shearlet Domain

引用

International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping

作者： Xiaohua Zhang Qiang Zhang L. C. Jiao Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an China

In this paper, a novel method for image denoising is proposed which adopts multiscale geometry tool. Firstly the image is decomposed by discrete shearlet transform. The shearlet coefficients of each direction approach the generalized Gaussian distribution. We use the principal component analysis (PCA) for every similarity window of shearlet coefficients. Then we use Generalized Gaussian model of non-local means method to handle the shearlet coefficients. Finally, we reconstruct image with the new shearlet coefficients to obtain the result. Numerical results show that our algorithm competes favorably with nonlocal means algorithms in the case of high noise.

关键词： image denoising Transforms Pixel Principal component analysis Algorithm design and analysis Noise reduction Noise

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SAR image Despeckling via Spatially Constrained Multiscale Products

SAR Image Despeckling via Spatially Constrained Multiscale P...

引用

2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

作者： X. L. Tian L. C. Jiao X. H. Zhang Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an China

This paper presents a wavelet-based multiscale products scheme for synthetic aperture radar (SAR) image despeckling. A compactly supported quadratic spline function that approximates the first derivative of Gaussian is employed in the scheme to decompose log-transformed SAR images. The multiplied results of the decomposed coefficients of adjacent scales consist of multiscale products. The multiscale products can sharp the important structures while weakening noise. A spatially selective neighborhood technique by iteratively selecting neighborhood system in the multiscale products is introduced in searching the important structure information. The influence of the spatial information is imposed on the multiscale products, instead of on the wavelet coefficients, which improves the capability of identifying important features. Experiments show that the proposed scheme is better in SAR image despeckling and preserving edges and detail information than other waveletbased multiscale products methods.

关键词： Despeckling synthetic aperture radar multiscale products wavelet transform neighborhood system

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