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A Recursive Local Linear Estimator for Identification of Nonlinear ARX Systems *

IFAC Proceedings Volumes 2012年第16期45卷 1517-1522页

作者： Wen-Xiao Zhao Wei Xing Zheng Er-Wei Bai Key Laboratory of Systems and Control Academy of Mathematics and Systems Science CAS Beijing P. R. China National Center for Mathematics and Interdisciplinary Sciences CAS Beijing P. R. China School of Computing Engineering and Mathematics University of Western Sydney Penrith NSW 2751 Australia Department of Electrical and Computer Engineering University of Iowa Iowa City IA 52242 USA

In this work, we propose a recursive local linear estimator (RLLE) for identification of nonlinear autoregressive systems with exogenous inputs, along with an analysis of its strong consistency and asymptotical mean s... 详细信息

关键词： Nonlinear ARX systems recursive identification local linear estimator almost sure convergence

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Finite-key analysis for measurement-device-independent quantum key distribution

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Physical Review A 2012年第2期86卷 022332-022332页

作者： Ting-Ting Song Qiao-Yan Wen Fen-Zhuo Guo Xiao-Qing Tan State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China Center for Quantum Information and Quantum Control Department of Electrical and Computer Engineering and Department of Physics University of Toronto Toronto Ontario Canada M5S 3G4 Department of Mathematics College of Information Science and Technology Jinan University Guangzhou Guangdong 510632 China

The length of signal pulses is finite in practical quantum key distribution. The finite-key analysis of an unconditional quantum key distribution is a burning problem, and the efficient quantum key distribution protocol suitable for practical implementation, measurement-device-independent quantum key distribution (MDI QKD), was proposed very recently. We give the finite-key analysis of MDI QKD, which removes all detector side channels and generates many orders of key rate higher than that of full-device-independent quantum key distribution. The secure bound of the ultimate key rate is obtained under the statistical fluctuations of relative frequency, which can be applied directly to practical threshold detectors with low detection efficiency and highly lossy channels. The bound is evaluated for reasonable values of the observed parameters. The simulation shows that the secure distance is around 10 km when the number of sifted data is 1010. Moreover the secure distance would be much longer in practice because of some simplified treatments used in our paper.

关键词： QUANTUM measurement DEPENDENCE (Statistics) QUANTUM statistics DETECTORS FLUCTUATIONS (Physics) SIMULATION methods & models ENERGY consumption

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Voxel-based treatment prediction of glioblastoma multiform tumor using diffusion tensor imaging

Voxel-based treatment prediction of glioblastoma multiform t...

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Hadi Sabahi Hamid Soltanian-Zadeh Lisa Scarpace Tom Mikkelsen Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Hospital Detroit MI USA Hermelin Brain Tumor Research Center Neurosurgery Department Henry Ford Health System Detroit MI USA

This paper proposes a method to predict the effect of Bevacizumab therapy on Glioblastoma Multiform (GBM) tumors. The prediction is critical for effective treatment planning. The proposed method is developed and evaluated using Diffusion Tensor Imaging (DTI) and post-contrast T1-weighted Magnetic Resonance Images (pc-T1-MRI) of 14 patients with GBM tumors gathered before and after the treatment. First, the proposed method calculates diffusion anisotropy indices (DAI) of all voxels in the brain. These diffusion anisotropy indices are Fractional Anisotropy (FA), Mean Diffusivity (MD), Relative Anisotropy (RA), and Volume Ratio (VR). Then, it registers post-treatment pc-T1-MRI and pre-treatment DAI maps to pre-treatment pc-T1-MRI. Next, it uses a thresholding method to segment the tumor from pc-T1-MRI studies. Comparing Gd-enhanced voxels of the pre- and post-treatment pc-T1-MRI, the DAIs of the tumor are labeled based on their response to the treatment. The voxels of 7 patients are randomly selected to train 4 classifiers (ANN, SVM, KNN, and ANFIS) and then all voxels of the other 7 patients are used to test them. For each classifier, four performance measures (sensitivity, specificity, positive predictive value, and accuracy) are calculated. Experimental results show that the ANFIS is more accurate than the other classifiers in predicting the treatment response.

关键词： Support vector machines Noise Magnetic resonance imaging Sensitivity Tumors Biomedical imaging Artificial neural networks

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Evading Quantum Mechanics: engineering a Classical Subsystem within a Quantum Environment

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Physical Review X 2012年第3期2卷 031016-031016页

作者： Mankei Tsang Carlton M. Caves Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore 117583 Department of Physics National University of Singapore 2 Science Drive 3 Singapore 117551 Center for Quantum Information and Control University of New Mexico MSC07-4220 Albuquerque New Mexico 87131-0001 USA Centre for Engineered Quantum Systems School of Mathematics and Physics The University of Queensland St. Lucia Brisbane 4072 Australia

Quantum mechanics is potentially advantageous for certain information-processing tasks, but its probabilistic nature and requirement of measurement backaction often limit the precision of conventional classical information-processing devices, such as sensors and atomic clocks. Here we show that, by engineering the dynamics of coupled quantum systems, it is possible to construct a subsystem that evades the measurement backaction of quantum mechanics, at all times of interest, and obeys any classical dynamics, linear or nonlinear, that we choose. We call such a system a quantum-mechanics-free subsystem (QMFS). All of the observables of a QMFS are quantum-nondemolition (QND) observables; moreover, they are dynamical QND observables, thus demolishing the widely held belief that QND observables are constants of motion. QMFSs point to a new strategy for designing classical information-processing devices in regimes where quantum noise is detrimental, unifying previous approaches that employ QND observables, backaction evasion, and quantum noise cancellation. Potential applications include gravitational-wave detection, optomechanical-force sensing, atomic magnetometry, and classical computing. Demonstrations of dynamical QMFSs include the generation of broadband squeezed light for use in interferometric gravitational-wave detection, experiments using entangled atomic-spin ensembles, and implementations of the quantum Toffoli gate.

关键词： Optics Quantum Physics Quantum Information

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Effects of Improved Adaptive Gamma Correction Method on Wireless Capsule Endoscopy Images: Illumination Compensation and Edge Detection

Effects of Improved Adaptive Gamma Correction Method on Wire...

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Iranian Conference on electrical engineering

作者： Mahdi Alizadeh Alireza Talebpour Hamid Soltanian-Zadeh Seyed Mahmoud Reza Aghamiri Department of Radiation Medicine Engineering Shahid Beheshti University Control and Intelligent Processing Center of Excellence (CIPE) School of Electrical and Computer Engineering University of Tehran

ISBN: (纸本)9781467311496

Several methods for adjusting image contrast have been developed in the field of image processing for image enhancement. Illumination is one of the most significant factors affecting the appearance of an image. Improper illumination causes a variety of problems in practice and thus, it is necessary to compensate for nonuniform illumination. Wireless Capsule Endoscopy (WCE) images suffer from this problem too. We propose an improved Adaptive Gamma Correction Method (AGCM) to compensate for nonuniform illumination in WCE color images. The experiments have shown that the proposed AGCM performs well in improving image quality. The WCE images obtained with AGCM are also better than those obtained with histogram equalization and adaptive histogram equalization in terms of brightness constancy, overall visual rendition and contrast. The Peak Signal to Noise Ratio (PSNR) and Contrast to Noise Ratio (CNR) values are also higher for AGCM than for other correction algorithms. Also, the differences between edge pixels and neighboring pixels in the WCE images are increased. We use a color variant of the canny operator for color edge detection. By using this method, 65% of the borders are detected correctly, while the detection rate is 45% without using this method.

关键词： Adaptive gamma correction method Wireless capsule endoscopy Edge detection Illumination Color variant of canny operator

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Discrete-Time l ∞ and l2 Norm Vanishment and Low Gain Feedback with Their Applications in Constrained control

Discrete-Time l ∞ and l2 Norm Vanishment and Low Gain Feedb...

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The 24th Chinese control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Bin Zhou Zhao-Yan Li Zongli Lin Center for Control Theory and Guidance Technology Harbin Institute of Technology P.O. Box 416 Har Department of Mathematics Harbin Institute of Technology Harbin 150001 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box

The existing low gain feedback, which is a parameterized family of stabilizing state feedback gains whose magnitudes approach zero as the parameter decreases to zero, has been designed in very specific ways. In this paper, by recognizing the l∞ and l2 slow peaking phenomenon that exists in discrete-time systems under low gain feedback, more general notions of l∞ and l2 norm vanishment are considered so as to provide a full characterization of the nonexistence of slow peaking phenomenon in some measured signals. Low gain feedback that does not lead to l∞ and l2 slow peaking in the control input are respectively referred to as l∞ and l2 low gain feedback. Based on the notions of l∞ and l2 vanishment, not only can the existing low gain feedback been recognized as an l∞ low gain feedback, but also a new design approach referred to as the l2 low gain feedback approach is developed for discrete-time linear systems. Parallel to the effectiveness of l∞ low gain feedback in magnitude constrained control, the l2 low gain feedback is instrumental in the control of discrete-time systems with control energy constraints. The notions of l∞ and l2-vanishment also result in a systematic approach to the design of l∞ and l2 low gain feedback by providing a family of solutions including those resulting from the existing design methods.

关键词： Slow peaking phenomenon l∞ and l2 norm vanishment l∞ and l2 low gain feedback constrained control.

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Portable noninvasive system for oral cancer diagnosis

Portable noninvasive system for oral cancer diagnosis

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IEEE SENSORS

作者： Chin-Siang Yang Mang Ou-Yang Yao-Fang Hsieh Yu-Ta Chen Jin-Chern Chiou Jeng-Ren Duann Ming-Hsui Tsai Shun-De Wu Cheng-Chung Lee Institute of Electrical Control Engineering National Chiao-Tung University Hsinchu City Taiwan Department of Electrical and Computer Engineering National Chiao-Tung University Hsinchu City Taiwan Department of Optics and Photonics National Central University Chungli City Taiwan Biornedical Engineer Center China Medical University Taichung City Taiwan Department of Otolaryngology China Medical University Taichung City Taiwan Department of Mechatronic Technology Taiwan Normal University Taipei City Taiwan

ISBN: (纸本)9781457717666

This study presents a portable noninvasive detection system which can get the image of specific spectral immediately, that promote to oral cancer diagnosis. According to research literature show the performance called autofluorescence of cells after exciting by specific wave band of light. It is different of the spectrum distribution for lesions of epithelial cells and normal cells after fluorescence excite, that is a basis of diagnosing to oral cancer. The convenient equipment for detection of oral cancer is modified for existing handheld microscope. From Fig.1, the UV LED illuminates to the surface of object and excites the cells which produce fluorescent reaction and showed the image with specific wavelength. The image passes through the central channel and filter out unwanted spectral by the selection of filter, and focused by the focus lens on the image sensor, therefore we can achieve the specific wavelength image via fluorescence reaction.

关键词： Cancer Educational institutions Light emitting diodes Optical filters Cities and towns Fluorescence Information filtering

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Fusion of Spectral Models for Dynamic Modeling of sEMG and Skeletal Muscle Force

Fusion of Spectral Models for Dynamic Modeling of sEMG and S...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Chandrasekhar Potluri Madhavi Anugolu Steve Chiu Alex Urfer Marco P. Schoen D. Subbaram Naidu Measurement and Control Engineering Research Center (MCERC) Idaho State University Pocatello Idaho 83201 USA MCERC Idaho State University Pocatello Idaho 83201 USA Department of Electrical Engineering and Computer Science MCERC Idaho State University Pocatello Idaho 83201 USA Department of Physical and Occupational Therapy Idaho State University Pocatello Idaho 83209 Department of Mechanical Engineering MCERC Idaho State University Pocatello Idaho 83201 USA

ISBN: (纸本)9781424441198

In this paper, we present a method of combining spectral models using a Kullback Information Criterion (KIC) data fusion algorithm. Surface Electromyographic (sEMG) signals and their corresponding skeletal muscle force signals are acquired from three sensors and pre-processed using a Half-Gaussian filter and a Chebyshev Type- II filter, respectively. Spectral models - Spectral Analysis (SPA), Empirical Transfer Function Estimate (ETFE), Spectral Analysis with Frequency Dependent Resolution (SPFRD) - are extracted from sEMG signals as input and skeletal muscle force as output signal. These signals are then employed in a System Identification (SI) routine to establish the dynamic models relating the input and output. After the individual models are extracted, the models are fused by a probability based KIC fusion algorithm. The results show that the SPFRD spectral models perform better than SPA and ETFE models in modeling the frequency content of the sEMG/skeletal muscle force data.

关键词： spectral models using Kullback Information sEMG signals

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Impaired Resting State Networks in Temporal Lobe Epilepsy: A Resting State fMRI Study

Impaired Resting State Networks in Temporal Lobe Epilepsy: A...

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Iranian Conference of Biomedical engineering

作者： Marzie Fereidouni Hamid Soltanian-Zadeh Quan Jiang Kost V. Elisevich Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering University of Tehran Tehran Iran NMR Laboratory Department of Neurology Henry Ford Hospital Detroit Michigan USA epartment of Clinical Neurosciences Spectrum Health System Grand Rapids Michigan USA

ISBN: (纸本)9781467331289

Temporal lobe epilepsy (TLE) is the most common type of human refractory epilepsy and can cause widespread impairments in brain functionality. Previous studies show functional and structural abnormalities in different regions of TLE patients' brain in comparison with normal subjects. However, limited studies have been done on connectivity abnormalities of resting state networks (RSN) in TLE patients and most of them studied default mode network (DMN) only. In this paper, nine independent spatial maps of the brain were identified by applying independent component analysis (ICA) on functional magnetic resonance images (fMRI) of the subjects. These maps were classified into four resting state networks: visual network, auditory network, default mode network, and attention network (including right and left fronto-parietal networks and core network). Functional connectivity between time courses of the nine components were computed and then compared between TLE patients and healthy subjects. Results show that there are significant between-group differences in functional connectivity among different brain networks including decrease in functional connections of visual cortex with two other networks, DMN and attention network, and decrease in functional connectivity between DMN and left fronto-parietal network. An increase in functional connectivity between DMN and core network and also between right fronto-parietal network and auditory network is observed.

关键词： Temporal lobe epilepsy Functional connectivity Resting state networks

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Preventing Lapse in Performance using a Drowsiness Monitoring and Management System

Preventing Lapse in Performance using a Drowsiness Monitorin...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Kuan-Chih Huang Tzyy-Ping Jung Chun-Hsiang Chuang Li-Wei Ko Chin-Teng Lin Institute of Electrical Control Engineering and Brain Research Center National Chiao-Tung University 1001 University Rd. Hsinchu 300 Taiwan Institute of Engineering in Medicine and Institute for Neural Computation and Swartz Center for Computational Neuroscience University of California San Diego 9500 Gilman Dr.#0559 La Jolla CA 92093-0559 USA Department of Biological Science and Technology and Brain Research Center National Chiao Tung University 1001 University Rd. Hsinchu 300 Taiwan

ISBN: (纸本)9781424441198

Research on public security, especially the safe manipulation and control of vehicles, has gained increasing attention in recent years. This study proposes a closed-loop drowsiness monitoring and management system that can estimate subjects’ driving performance. The system observes electroencephalographic (EEG) dynamics and behavioral changes, delivers arousing feedback to individuals experiencing momentary cognitive lapses, and assesses the efficacy of the feedback. Results of this study showed that the arousing feedback immediately improved subject performance, which was accompanied by concurrent theta- and alpha-power suppression in the bilateral occipital areas. This study further demonstrated the feasibility of accurately assessing the efficacy of arousing feedback presented to drowsy participants by monitoring the changes in their EEG power spectra.

关键词： public security drowsiness monitoring accurately assessing

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