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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Yaw-Jiunn Chiou Hsiang-Min Chen Jyh Wen Chai Clayton Chi-Chang Chen Yen-Chieh Ouyang Wu-Chung Su Ching-Wen Yang San-Kan Lee Chein-I Chang Department of Electrical Engineering National Chung Hsing University Taichung Taiwan Department of Radiology College of Medicine China Medical University and Hospital Taichung Taiwan Department of Radiology Taichung Veterans General Hospital Taichung Taiwan Department of Radiological Technology Central Taiwan University of Science and technology Taichung Taiwan Computer Center Taichung Veterans General Hospital Taichung Taiwan Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD USA

The purpose of this study is to present a new method, independent vector analysis (IVA), by extending independent component analysis (ICA) of univariate source signals to multivariate source signals on Magnetic Resonance Imaging (MRI). IVA is utilized to relief the limitation of the conventional ICA approach. The proposed method can resolve the permutation problem during individual ICA runs for group brain MR images. The proposed IVA method in conjunction with support vector machine (SVM), we can effectively separate the different part of gray, white matter and cerebrospinal fluid (CSF) from brain soft tissues. In order to demonstrate the proposed IVA-SVM method, experiments are conducted for performance analysis and evaluation. Simulation results show that using IVA can greatly release from the problem cause from traditional ICA to the situation of analyzing inconsistent results of MR image.

关键词： Brain Image analysis Magnetic analysis Magnetic resonance Independent component analysis Magnetic resonance imaging Support vector machines Signal analysis Image resolution Signal resolution

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NEURO-FUZZY BASED FAULT DIAGNOSIS OF A STEAM GENERATOR

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IFAC Proceedings Volumes 2009年第8期42卷 1180-1185页

作者： Roozbeh Razavi-Far Hadi Davilu Vasile Palade Caro Lucas Department of Nuclear Engineering Amirkabir University of Technology P.O. Box 15875-4413 Tehran Iran (Tel:+98-***) Computing Laboratory Oxford University Wolfson Building Parks Road Oxford OX1 3QD UK Center of Excellence on Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran P.O. Box 14395-1515 Tehran Iran

This paper focuses on the development and application of a Neuro-Fuzzy (NF) networks-based scheme for Fault Detection and Isolation (FDI) in a U-tube Steam Generator (UTSG). First, a NF network is trained with data collected from a full scale UTSG simulator, and residuals are generated for fault detection. To identify the UTSG, a Locally Linear Neuro-Fuzzy (LLNF) model is used. This model is trained using the Locally Linear Model Tree (LOLIMOT) algorithm which is an incremental tree structure algorithm. Then, an evolutionary algorithm is used to train a Mamdani type NF network to classify the residuals. The residuals are analyzed by using this NF classifier for fault isolation purposes.

关键词： Fault Diagnosis Neuro-Fuzzy Networks Locally Linear Neuro Fuzzy Model Locally Linear Model Tree Steam Generator

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plasma-treated surfaces to direct embryonic stem-cell differentiation

Plasma-treated surfaces to direct embryonic stem-cell differ...

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8th World Biomaterials Congress 2008, WBC 2008

作者： Hanley, E. Lauer, J.L. Shohet, J.L. Lyons, G.E. Plasma Processing and Technology Laboratory Department of Electrical and Computer Engineering University of Wisconsin Madison WI 53706 United States Department of Anatomy University of Wisconsin-Madison Madison WI 53706 United States

The positive results seen by ES cells precociously expressing the vWF and PECAM genetic markers on the tetraglyme surfaces suggest a directed differentiation of ES cells into endothelial cells. Surfaces with more cros... 详细信息

ISBN: (纸本)9781615670802

关键词： Endothelial cells

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Effects of plasma-processing conditions on blood-platelet morphology

Effects of plasma-processing conditions on blood-platelet mo...

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8th World Biomaterials Congress 2008, WBC 2008

作者： Shohet, J.L. Hanley, E. Muruges An, R. Albrecht, R.M. Heintz, J.A. Oliver, J.A. Lauer, J.L. Plasma Processing and Technology Laboratory Department of Electrical and Computer Eng Ineering University of Wisconsin Madison WI 53706 United States Dept. of Animal Sciences University of Wisconsin Madison Madison WI 53706 United States Dept. of Biological Sciences University of Wisconsin Milwaukee Milwaukee WI 53201 United States

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Three-dimensional ISAR imaging based on antenna array

Three-dimensional ISAR imaging based on antenna array

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作者： Ma, Changzheng Yeo, Tat Soon Zhang, Qun Tan, Hwee Siang Wang, Jun IEEE School of Electric and Information Engineering Zhongyuan University of Technology Zhengzhou 450007 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Institute of Telecommunication Engineering Air Force Engineering University Xi'an 710071 China National Key Laboratory of Radar Signal Processing Xidian University Shaanxi 710071 China

In this paper, a 3-D inverse synthetic aperture radar (ISAR) imaging method based on an antenna array configuration is proposed. The performance of conventional interferometric ISAR imaging system using three antennas is poor, as the positions of scatterers, which have the same range-Doppler value and projected onto the ISAR plane as a synthesis scatterer, cannot be correctly estimated. However, by using two antenna arrays perpendicular to each other, the system's ability to separate these scatterers can be improved. The criterion for the selection of a range unit that contains an isolated scatterer in the 2-D array domain for doing motion compensation is discussed. If there is no range unit which contains only an isolated scatterer, then radial and cross-range motion compensation has to be carried out by motion parameter estimation. Two cross-range motion parameters measurement algorithms, one based on array processing of the range profile and another based on correlation of ISAR images of different antennas, are proposed. The coordinates registration problem for the scatterers of a synthesis scatterer is also discussed. Simulation results have shown the effectiveness of the proposed methods. © 2008 IEEE.

关键词： Synthetic aperture radar

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Numerical simulation of two-dimensional photonic crystal with FDTD method

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Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of technology 2008年第3期30卷 5-7页

作者： Zhou, Jian Jiang, Hong-Zhou Zhang, Lin Wang, Lin Zeng, Chun-Nian Chen, Ji State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan 430070 China School of Information Engineering Wuhan University of Technology Wuhan 430070 China School of Automotive Engineering Wuhan University of Technology Wuhan 430070 China Department of Electrical and Computer Engineering University of Houston Houston United States

Based on the theory of photonic crystal and its characteristic, which was known as photonic band gap (PBG), the finite-difference time-domain (FDTD) method, including absorbing boundary condition and periodic boundary condition, was used to simulate transmission characteristic of two-dimensional photonic crystal, which has periodic Al2O3 cylinder array structure. Incident wave was presumed as s-polarized wave. In two incident angles which were 0° and 30°, electric field, phase and transmissivity in the range of 1-30 μm were calculated. Numerical simulation results showed that PBG of photonic crystal existed in the range 12-18 μm (infrared waveband), and it may be used to develop infrared wave-guide.

关键词： FDTD Periodic structure Photonic band gap Photonic crystal

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Fundamental Uncertainty Rotationally Symmetric and Anamorphic Laser Triangulation

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电子学报(英文版) 2008年第1期17卷 8-11页

作者： WANG Lei GAO Jun WANG Xiaojia Johannes Eckstein Peter Ott Laboratory of Image Information Processing School of Computer and Information Hefei University of Technology Hefei 230009 China Optical Engineering Laboratory Heilbronn University Heilbronn 74081 Germany Department of Mechanical and Electrical Engineering Xiamen University Xiamen 361005 China

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Expression-Compensated 3D Face Recognition with Geodesically Aligned Bilinear Models

Expression-Compensated 3D Face Recognition with Geodesically...

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IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS)

作者： Iordanis Mpiperis Sotiris Malassiotis Michael G. Strintzis Informatics and Telematics Institute Centre for Research and Technology Hellas Thessaloniki Greece Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

In this paper, we present a technique for addressing 3-dimensional face recognition in presence of facial expressions using a bilinear model. The bilinear model allows decoupling the impact of identity and expression on face appearance and encoding their contribution in separate control parameters. This is achieved by first representing faces as parametric surface models described by a fixed length parameter vector. A generic face model is fitted to each face based on a novel technique that relies on geodesic distances to find implicitly corresponding facial landmarks between the model and the face in hand. Model parameters are then used for bilinear decomposition. The experimental results on the publicly available BU-3DFE face database demonstrate the effectiveness of our technique.

关键词： Face recognition Deformable models Face detection Databases Iterative closest point algorithm Surface fitting Encoding Wavelet coefficients Nose Skin

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Fabrication and characterization of microwave immunosensors based on organic semiconductors with nanogold-labeled antibody

Fabrication and characterization of microwave immunosensors ...

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

作者： Feng Li David P. Klemer John K. Kimani Shun Mao Junhong Chen Douglas A. Steeber BARD Laboratory in the Department of Electrical Engineering and Computer Science University of Wisconsin Milwaukee Milwaukee WI USA Plasma Processing and Nanotechnology Group Department of Mechanical Engineering University of Wisconsin Milwaukee Milwaukee WI USA Department of Biological Sciences University of Wisconsin Milwaukee Milwaukee WI USA

Microelectronic biosensors hold great promise for rapid, sensitive and specific in vitro point-of-care immunodiagnostics. In particular, sensors fabricated using organic semiconductors have attractive advantages—such as ease of manufacture and low cost—in the design and implementation of such devices. Furthermore, immobilization of an antibody or protein antigen as a biorecognition element onto an organic semiconducting film allows for direct transduction of biomolecular binding events into an electronic signal which is readily measured and processed. In previous work, we have demonstrated that an antigen can be bound to organic semiconducting films while retaining enzymatic activity after immobilization. The present work considers organic semiconducting films which are spin-cast onto an interdigitated electrode; antibodies labeled with gold-nanoparticles are applied to the organic semiconducting film and serve as a biorecognition element. The sensor geometry includes a high-frequency coplanar waveguide contact metallization to facilitate direct measurement using microwave wafer probes. Equivalent circuit models are derived from microwave measurements over the frequency range 0.3 MHz to 8.5 GHz.

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A Comparative Study of Classification Techniques for Knowledge-Assisted Image Analysis

A Comparative Study of Classification Techniques for Knowled...

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International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS

作者： G. T. Papadopoulos K. Chandramouli V. Mezaris I. Kompatsiaris E. Izquierdo M. G. Strintzis Informatics and Telematics Institute Centre for Research and Technology Hellas Thessaloniki Greece Information Processing Laboratory Electrical & Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece Multimedia and Vision Research Group Queen Mary University of London London UK

In this paper, four individual approaches to region classification for knowledge-assisted semantic image analysis are presented and comparatively evaluated. All of the examined approaches realize knowledge-assisted analysis via implicit knowledge acquisition, i.e. are based on machine learning techniques such as support vector machines (SVMs), self organizing maps (SOMs), genetic algorithm (GA)and particle swarm optimization (PSO). Under all examined approaches, each image is initially segmented and suitable low-level descriptors are extracted for every resulting segment. Then, each of the aforementioned classifiers is applied to associate every region with a predefined high-level semantic concept. An appropriate evaluation framework has been employed for the comparative evaluation of the above algorithms under varying experimental conditions.

关键词： Image analysis Image segmentation Algorithm design and analysis Knowledge acquisition Machine learning Support vector machines Support vector machine classification Self organizing feature maps Genetic algorithms Particle swarm optimization

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