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Prediction of hard rock TBM penetration rate using least square support vector machine

IFAC Proceedings Volumes 2013年第13期46卷 347-352页

作者： Yang Ge Jingcheng Wang Kang Li Department of Automation Shanghai Jiao Tong University Shanghai and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiao Tong University Shanghai 200240 China (Tel: 86-21-34205374 ) School of Electronics Electrical Engineering and Computer Science Queen's University Belfast UK

The prediction of tunnel boring machine (TBM) penetration rate is helpful to plan construction time and to control cost. This paper studies on modeling the penetration rate and the rock mass parameters via least square support vector machine (LS-SVM). These rock properties include uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), peak slope index (PSI), distance between planes of weakness (DPW) and the alpha angle. The correlation between the rock parameters and the measured rate of penetration (ROP) is first investigated via LS-SVM. Then the necessity of normalizing the rock parameters is discussed. Finally, comparisons between the LS-SVM and other methods are presented to demonstrate the applicability of LS-SVM for predicting ROP.

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On Variation of Infinite Horizon Performance of Model Predictive Control with Varying Receding Horizon

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IFAC Proceedings Volumes 2013年第20期46卷 701-706页

作者： Xin Cai Shaoyuan Li Ning Li Kang Li Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 P. R. China School of Electronics Electrical Engineering and Computer Science The Queen's University Belfast Belfast BT7 1NN UK

This paper investigates variation of infinite horizon (IH) performance of Model Predictive Control (MPC) without constraints as the optimization horizon changes. By exploring properties of the Difference Riccati Equations (DRE), an upper bound and a lower bound of the ratio between variation of IH performance of MPC and finite horizon (FH) optimal cost are obtained. The result shows the dynamic behavior of IH performance of closed-loop MPC systems as the optimization horizon varies.

关键词： Model predictive control Infinite horizon performance Finite horizon optimal control Optimization horizon

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Wireless sensor networks in application to patients health monitoring

Wireless sensor networks in application to patients health m...

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IEEE Symposium on Computational Intelligence in Healthcare and e-health

作者： Stanislaw Rajba Pawel Raif Teresa Rajba Mufti Mahmud Department of Electrical Engineering and Automation University of Bielsko-Biała Bielsko-Biala Poland Department of Mathematics and Computer Science University of Bielsko-Biała Bielsko-Biala Poland Department of Biosensors and Biomedical Signals Processing Silesian University of Technology Gliwice Poland NeuroChip Laboratory University of Padova Padova Italy

This work presents an application of Wireless Sensor Network (WSN) of random access with one-way transmission to the monitoring of hospital patients. In the paper, we consider WSN single-hop network using one single radio frequency, such that all nodes are divided into several groups depending on the average time between the transmission due to the different state of health of patients. We apply the Poisson Arrivals See Time Averages (PASTA) to modeling of WSN. We present formula for the probability of collisions which has been verified by simulation studies of network.

关键词： Wireless sensor networks Protocols Monitoring Hospitals Wireless networks Mathematical model Ad hoc networks

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Application of a locality preserving discriminant analysis approach to ASR

Application of a locality preserving discriminant analysis a...

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2012 11th International Conference on Information Science, Signal processing and their Applications, ISSPA 2012

作者： Tomar, Vikrant Singh Rose, Richard C. Telecom and Signal Processing Laboratory Department of Electrical and Computer Engineering McGill University Montreal QC Canada

ISBN: (纸本)9781467303828

This paper presents a comparison of three techniques for dimensionally reduction in feature analysis for automatic speech recognition (ASR). All three approaches estimate a linear transformation that is applied to concatenated log spectral features and provide a mechanism for efficient modeling of spectral dynamics in ASR. The goal of the paper is to investigate the effectiveness of a discriminative approach for estimating these feature space transformations which is based on the assumption that speech features lie on a non-linear manifold. This approach is referred to as locality preserving discriminant analysis (LPDA) and is based on the principle of preserving local within-class relationships in this non-linear space while at the same time maximizing separability between classes. This approach was compared to two well known approaches for dimensionality reduction, linear discriminant analysis (LDA) and locality preserving linear projection (LPP), on the Aurora 2 speech in noise task. The LPDA approach was found to provide a significant reduction in WER with respect to the other techniques for most noise types and signal-to-noise ratios (SNRs). © 2012 IEEE.

关键词： Speech recognition

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Features for phoneme independent speaker identification

Features for phoneme independent speaker identification

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2012 3rd IEEE/IET International Conference on Audio, Language and Image processing, ICALIP 2012

作者： Wang, Jianglin Ji, An Johnson, Michael T. Speech and Signal Processing Laboratory Department of Electrical and Computer Engineering Marquette University Milwaukee WI United States

ISBN: (纸本)9781467301718

This paper describes a unique cross-phoneme speaker identification experiment, using deliberately mismatched phoneme sets for training and testing. The underlying goal is to identify features that represent broad individually unique characteristics rather than those that represent phonetic differences, as are more typical of modern speaker identification and verification systems. A wide range of features are proposed and evaluated within this context using a Gaussian Mixture Model framework. The results show that log-area ratio has better phonetic independence than MFCCs, that residual phase carries substantial speaker information, and identifies several other features that also have usefulness for speaker identification independent of phonetic content. © 2012 IEEE.

关键词： Gaussian distribution

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REAL-TIME SUPER-RESOLUTION FOR DIGITAL ZOOMING USING FINITE KERNEL-BASED EDGE ORIENTATION ESTIMATION AND TRUNCATED IMAGE RESTORATION

REAL-TIME SUPER-RESOLUTION FOR DIGITAL ZOOMING USING FINITE ...

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IEEE International Conference on Image processing

作者： Wonseok Kang Jaehwan Jeon Eunsung Lee Changhun Cho Junghoon Jung Taechan Kim Aggelos K. Katsaggelos Joonki Paik Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul Korea System LSI Samsung Electronics Co. Ltd Suwon Korea Department of Electrical Engineering and Computer Science Northwestern University Evanston IL 60208 USA

ISBN: (纸本)9781479923427

This paper presents a novel real-time super-resolution (SR) method using directionally adaptive image interpolation and image restoration. The proposed interpolation method estimates the edge orientation using steerable filters and performs edge refinement along the estimated edge orientation. Bi-linear and bi-cubic interpolation filters are then selectively used according to the estimated edge orientation for reducing jagging artifacts in slanting edge regions. The proposed restoration method can effectively remove image degradation caused by interpolation using the directionally adaptive truncated constrained least-squares (TCLS) filter. The proposed method provides high-quality magnified images which are similar to or better than the result of advanced interpolation or SR methods without high computational load. Experimental results indicate that the proposed system gives higher peak-to-peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) values than the state-of-the-art image interpolation methods.

关键词： Super-resolution image interpolation image restoration digital zooming

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FREQUENCY-DOMAIN ANALYSIS OF DISCRETE WAVELET TRANSFORM COEFFICIENTS AND THEIR ADAPTIVE SHRINKAGE FOR ANTI-ALIASING

FREQUENCY-DOMAIN ANALYSIS OF DISCRETE WAVELET TRANSFORM COEF...

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IEEE International Conference on Image processing

作者： Eunjung Chae Eunsung Lee Wonseok Kang Younghoon Lim Junghoon Jung Taechan Kim Aggelos K. Katsaggelos Joonki Paik Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul Korea System LSI Samsung Electronics Co. Ltd Suwon Korea Department of Electrical Engineering and Computer Science Northwestern University Evanston IL 60208 USA

ISBN: (纸本)9781479923427

We present an antialiasing method using combined wavelet-Fourier transform and spatially adaptive shrinkage of the transform coefficients. Traditional antialiasing methods employ a simple low-pass filter onto the entire image, so the resulting image loses not only aliasing artifacts but also high-frequency components such as edges and ridges. The proposed algorithm analyzes the property of the LL subband of the discrete wavelet transform (DWT), and reduces aliasing artifacts using patch-adaptive shrinkage of the DWT coefficients. More specifically, an antialiased LL subband is obtained using adaptive patch-based aliasing reduction. To detect an aliased region, we subtract the discrete Fourier transform (DFT) coefficients of the LL subband from the DFT coefficients of antialiased LL subband. The detected aliasing artifacts in the LH, HL, and HH subbands are reduced by patch-wise adaptive shrinkage of the transform coefficients. The resulting antialiased image is obtained using the inverse DWT. The aliasing artifacts can be efficiently reduced by adaptively shrinking wavelet transform coefficients for preserving high-frequency image details. The proposed antialiasing algorithm is suitable for removing aliasing artifacts which frequently occur in imaging sensors with limited resolution.

关键词： Anti-aliasing wavelet-Fourier transform image enhancement patch-adaptive shrinkage antialiasing image enhancement Aliasing shrinkage Artifacts subband domain analysis Coefficients Sensors (image) Frequency-domain analysis discrete Fourier transform

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Cooperative spectrum sharing in relay-trading mode: A fairness view

Cooperative spectrum sharing in relay-trading mode: A fairne...

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4th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2012

作者： Liu, Lixia Hu, Gang Xu, Ming Peng, Yuxing National Key Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha 410073 China Department of Networks Engineering School of Computer National University of Defense Technology Changsha 410073 China

ISBN: (纸本)9780769548104

In the relay-trading mode of wireless cognitive radio networks the secondary user (SU) can achieve a promised spectrum access opportunity by relaying for the primary user (PU). How to utilize the exchanged resource efficiently and fairly is an interesting and practical problem. In this paper we proposed a cooperative spectrum sharing strategy (RT-CSS) for the relay-trading mode from the fairness view. The cooperative SUs are gathered in a cooperative sharing group (CSG), and contribution metric (CM) is proposed to measure each CSG member's contribution to CSG as well as benefit from CSG. The adjustment of CM can guarantee the fairness and efficiency of spectrum sharing. The numerical simulation shows that RT-CSS can achieve better performance than the sense-uncooperative mode. © 2012 IEEE.

关键词： Cognitive radio

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Toward full fluctuation analysis of small FETs

Toward full fluctuation analysis of small FETs

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10th International Meeting for Future of Electron Devices, Kansai, IMFEDK 2012

作者： Li, Yiming Cheng, Hui-Wen Parallel and Scientific Computing Laboratory Department of Electrical and Computer Engineering National Chiao Tung University 1001 Ta-Hsueh Road Hsinchu City Hsinchu 300 Taiwan

ISBN: (纸本)9781467308359

We, for the first time, estimate total fluctuation resulting from random dopants, interface traps and work functions using experimentally calibrated 3D statistical device simulation on 16-nm-gate high-κ/metal gate planar and bulk FinFET devices. The total full 3D simulated threshold voltage fluctuation (σVth), induced by the aforementioned random sources simultaneously, is different from their statistical total sum because the assumption of independently and identically distributed random variables is invalid owing to strong surface potential's interactions among them. Structural innovation using bulk FinFET implies significant fluctuation suppression, which is about 45.6% reduction on σVth. 3D vertical channel-based device provides good capability in fluctuation reduction, compared with process efforts on low interface trap density (e.g., Dit is below 10 11 eV-1 cm-2) and small grain size (e.g., 1x1 nm2) of metal gate on planar one. © 2012 IEEE.

关键词： Work function

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What can an image of a smooth Lambertian surface tell about camera nonlinearity?

What can an image of a smooth Lambertian surface tell about ...

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2012 9th Conference on computer and Robot Vision, CRV 2012

作者： El-Melegy, Moumen T. Farag, Aly A. Computer Vision and Image Processing Laboratory University of Louisville Louisville KY 40292 United States Electrical Engineering Department Assiut University Assiut 71516 Egypt

ISBN: (纸本)9780769546834

This paper investigates the use of a single image of a smooth Lambertian surface to calibrate and remove some image nonlinearities due to the imaging device. To the best of our knowledge, this has not been addressed before in the literature. We show that this is possible, both theoretically and practically, taking advantage of some local shading measures that vary nonlinearly as a function of luminance and geometric nonlinearities (e.g., gamma correction and lens distortion). This can work as a basis for developing a simple method to estimate these nonlinearities from a single image. Several experiments are reported to validate the proposed method. © 2012 IEEE.

关键词： Cameras

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