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Effect of Different Diffusion Maps on Registration Results

Effect of Different Diffusion Maps on Registration Results

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Iranian Machine Vision and Image processing (MVIP)

作者： Maryam Afzali Emad Fatemizadeh Hamid Soltanian-Zadeh Department of Electrical Engineering Biomedical Signal and Image Processing Laboratory (BiSIPL) Sharif University of Technology Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Health System Detroit MI USA Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering University of Tehran Tehran Iran

In this paper, we compare registration results obtained using different diffusion maps extracted from diffusion tensor imaging (DTI). Fractional Anisotropy (FA) and Ellipsoidal Area Ratio (EAR) are two diffusion maps (indices) that may be used for image registration. First, we use FA maps to find deformation matrix and register diffusion weighted images. Then, we use EAR maps and finally we use both of FA and EAR maps to register diffusion weighted images. The difference between FA values before deformation and after registration using the FA alone or EAR alone has a median of 0.57 and using both of them has a median of 0.29. Therefore, the results of registration using both of the FA and EAR indices are superior to those obtained using only one of them alone.

关键词： Ear Diffusion tensor imaging Tensile stress Registers Eigenvalues and eigenfunctions Anisotropic magnetoresistance Image registration

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A new semi-supervised algorithm for hyperspectral image classification based on spectral unmixing concepts

A new semi-supervised algorithm for hyperspectral image clas...

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3rd Workshop on Hyperspectral Image and signal processing: Evolution in Remote Sensing, WHISPERS 2011

作者： Villa, Alberto Li, Jun Plaza, Antonio Bioucas-Dias, Jose M. GIPSA-lab Signal and Image Dept. Grenoble Institute of Technology - INPG France Faculty of Electrical and Computer Engineering Iceland University of Iceland Iceland Instituto de Telecomunicações Instituto Superior Técnico TULisbon 1900-118 Lisboa Portugal Hyperspectral Computing Laboratory Department of Technology of Computers and Communications University of Extremadura E-10071 Caceres Spain

Spectral unmixing is a fast growing area in hyperspectral image analysis. Many algorithms have been recently developed to retrieve pure spectral components (endmembers) and determine their abundance fractions in mixed pixels, which dominate hyperspectral images. However, possible connections between spectral unmixing concepts and classification algorithms have been rarely investigated. In this work, we propose a new method to perform semi-supervised hyperspectral image classification exploiting the information retrieved with spectral unmixing. The proposed method integrates a well-established discriminative classifier (multinomial logistic regression) with linear spectral unmixing. Furthermore, the proposed method uses a new active sampling approach which takes into account spatial context when generating new samples. The proposed method is experimentally validated using both simulated and real hyperspectral data sets. © 2011 IEEE.

关键词： Classification (of information)

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Design, fabrication and Helium Ion Microscope patterning of suspended nanomechanical graphene structures for NEMS applications

Design, fabrication and Helium Ion Microscope patterning of ...

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International Conference on Solid State Sensors and Actuators (TRANSDUCERS)

作者： M. Annamalai S. Mathew V. Viswanathan C. Fang D. S. Pickard M. Palaniapan Centre of Integrated Circuit Failure Analysis & Reliability Singapore Plasmonics & Advanced Imaging Technology Laboratory Department of Electrical and Computer Engineering National University of Singapore Singapore Signal Processing & VLSI Lab Singapore

This paper investigates the potential uses of graphene nanomechanical devices for NEMS applications fabricated using Helium Ion Microscope (HIM). Suspended nanomechanical graphene drum structures of diameter (~2 - 3 μm) and thickness ranging from few atomic layers (~10 Å) to about 11 nm have been fabricated and characterized using Atomic Force Microscopy (AFM). The initial suspension profile and the thickness of the fabricated structures have been obtained using AFM. FEM results suggest that these structures can vibrate in the range of several MHz. Their small size and the higher operating frequencies make them well suitable for mass sensing applications with sensitivities greater than 10 -21 g Hz -1 which is more than three orders of magnitude improvement over silicon based structures. The initial suspended graphene membranes have been patterned using HIM to obtain multiple z-axis flexures with sub-10nm feature sizes.

关键词： Silicon Nanoelectromechanical systems Helium Microscopy Nanostructures Gold Fabrication

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On mathematical modeling of cooperative e-learning performance during face to face tutoring sessions (Ant Colony System approach)

On mathematical modeling of cooperative e-learning performan...

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IEEE Education engineering (EDUCON)

作者： Hassan. M. Mustafa Saeed. M. Badran Ayoub Al-Hamadi Turki F. Al-Somani Computer Engineering Department Faculty of Engineering Al-Baha University Al-Baha Saudi Arabia Electrical Engineering Department Faculty of Engineering Al-Baha University Al-Baha Saudi Arabia Institute of Electronics Signal Processing and Communications (IESK) Otto-von-Guericke University of Magdeburg Magdeburg Germany

Investigational analysis and evaluation of cooperative learning phenomenon is a challenging educational issue. Recently, educationalists have adopted interesting research work concerned with realistic modeling of human's cooperative learning phenomenon. That's by investigation of its analogy with natural behavioral learning aspects, observed by swarm intelligence of social insects colonies. Herein, this paper presents a realistic mathematical modeling of cooperative e-learning which inspired from cooperative behavioral learning observed by one type of Ant Colony System (ACS). More specifically, presented modeling motivated by qualitative analysis of observed behavioral learning performance of ACS type namely: Temnothorax albipennis. In nature, this ACS type observed to perform cooperative behavioural learning on the basis of tandem running technique. Objectively, this colony agents (ants) search for optimal algorithmic solution of foraging process by performing interactive technique. That's involves learning by interactive communication (positive feedback) between two ants (Follower/Leader) controlling trade-off between speed and accuracy. Interestingly, the analogy between introduced ACS models and corresponding Artificial Neural Networks models is presented.

关键词： Mathematical model Biological system modeling engineering education Artificial neural networks Lead Neurons Equations

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Upper Limb Joint Angle Tracking with Inertial Sensors

Upper Limb Joint Angle Tracking with Inertial Sensors

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

作者： Mahmoud El-Gohary Lars Holmstrom Jessie Huisinga Edward King James McNames Fay Horak Biomedical Signal Processing Laboartory in the Department of Electrical and Computer Engineering at Portland State University (PSU) Chief Information Officer at APDM Inc. Balance Disorders Laboratory in the Department of Neurology at Oregon Health & Science University (OHSU)

ISBN: (纸本)9781424441211

Wearable inertial systems have recently been used to track human movement in and outside of the laboratory. Continuous monitoring of human movement can provide valuable information relevant to individual's level of physical activity and functional ability. Traditionally, orientation has been calculated by integrating the angular velocity from gyroscopes. However, a small drift in the measured velocity leads to large integration errors that grow with time. To compensate for that drift, complementary data from accelerometers are normally fused into the tracking systems using the Kalman or extended Kalman filter (EKF). In this study, we combine kinematic models designed for control of robotic arms with the unscented Kalman filter (UKF) to continuously estimate the angles of human shoulder and elbow using two wearable sensors. This methodology can easily be generalized to track other human joints. We validate the method with an optical motion tracking system and demonstrate correlation consistently greater than 0.9 between the two systems.

关键词： inertia sensor Human locomotion TRACKING SYSTEM robotic arm kinematics joint angle accelerometers Elbow Upper Extremity inertial systems Motor Activity

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Urban area product simulation for the EnMap hyperspectral sensor

Urban area product simulation for the EnMap hyperspectral se...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： P. Gamba A. Villa A. Plaza J. Chanussot J.A. Benediktsson Department of Electronics University of Pavia Pavia Italy GIPSA-Laboratory Signal & Image Department Grenoble Institute of Technology (INPG) France Faculty of Electrical and Computer Engineering University of Iceland Iceland Department of Technology of Computers and Communications University of Extremadura Spain

Low spatial resolution is a major limitation for remote sensing classification, especially in a urban environment. In this work, we will focus on the simulation of urban area environment at a low spatial resolution, comparable to the new hyperspectral sensors that will be launched in the next few years. The aim is to better understand the possibility offered by the new sensors, in a challenging scenario like the one represented by a highly mixed image. Particular attention is placed on the characteristics of the sensor EnMap, produced by DLR. The experiments conducted on a real data set confirm the challenges posed by low spatial resolution when analyzing a urban environment.

关键词： Spatial resolution Hyperspectral sensors Urban areas Sensors Support vector machines

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Detection of Collagenous Colitis Based on Histopathology Image Segmentation of Colon

Detection of Collagenous Colitis Based on Histopathology Ima...

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Iranian Machine Vision and Image processing (MVIP)

作者： Vahid Malekian Mojgan Mokhtari Saeid Sadri Rasoul Amirfattahi Alireza Aghaie Digital Signal Processing Research Laboratory Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan Iran School of Medicine Isfahan University of Medical Sciences Isfahan Iran Isfahan University of Technology Isfahan Isfahan IR

Collagenous colitis is prevalent among pathological diseases. Because of normal radiological and endoscopic appearances, the microscopic image of colon tissue is necessary and important material for investigation of this disease. In this paper, a computerized system is developed for collagenous colitis diagnosis. First, colon tissues are colored with Mason trichrome to make sub-epithelial collagen band to be appeared in blue. Second, preprocessing is done on the microscopic image of colon tissue, and then Color histogram features in HSV color space and Haar Wavelet energy in detail coefficients of sub-band images are implemented to characterize the histological structure representation for tissue classification. KNN Classifier is selected for this classification, which segments the sub-epithelial collagen band from the image, and finally, thickness of sub-epithelial collagen band is determined by morphological operations. Abnormal case will be recognized if the thickness of sub-epithelial collagen band be more than 10 μm. Fifty clinical image samples were employed in the training and testing procedures for the evaluation of system performance. Through the applied classification it was revealed that collagenous colitis can be diagnosed accurately.

关键词： Microscopy Image color analysis Colon Feature extraction Image segmentation Training Histograms

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Traffic speed measurement using Spatio-Temporal model and frequency domain analysis

Traffic speed measurement using Spatio-Temporal model and fr...

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International Conference on electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Arucha Rungchokanun Vutipong Areekul Supakorn Siddhichai Hiroaki Kunieda Kasetsart Signal & Image Processing Laboratory (KSIP Lab) Department of Electrical Engineering Kasetsart University Thailand Image Technology Laboratory National Electronics and Computer Technology Center Pathum Thani Thailand Department of Communication and Integrated Systems Tokyo Institute of Technology Meguro Tokyo Japan

In traffic monitoring applications, traffic speed is an important parameter of traffic management. The method for traffic speed measurement using video based on Spatio-Temporal (ST) model and frequency domain analysis is proposed in this paper. This method is designed to be able to measure the traffic speed in every pattern of road. The novel of proposed method is unfolding the edge information on ST model and analyse them in frequency domain to determine traffic speed. The proposed method is evaluated by compare with actual speed. The traffic speed is measured accurately 97.1%.

关键词： Analytical models Sensors Pixel Image sensors Monitoring

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Developments in the radio search for extraterrestrial intelligence

Developments in the radio search for extraterrestrial intell...

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2011 30th URSI General Assembly and Scientific Symposium, URSIGASS 2011

作者： Siemion, A.P.V. Werthimer, D. Anderson, D. Chen, H. Cobb, J. Cordes, J. Filiba, T. Foster, G. Gowda, S. Korpela, E. Lebofsky, M. Little, A. Mallard, W. Spitler, L. Wagner, M. Department of Astronomy University of California Berkeley Berkeley CA United States Center for Astronomy Signal Processing and Electronics Research University of California Berkeley Berkeley CA United States Space Sciences Laboratory University of California Berkeley Berkeley CA United States Department of Electrical Engineering University of California Los Angeles Los Angeles CA United States Department of Astronomy Cornell University Ithaca NY United States Department of Electrical Engineering and Computer Science University of California Berkeley Berkeley CA United States Department of Physics Oxford University Oxford United Kingdom Department of Physics University of California Berkeley Berkeley CA United States

ISBN: (纸本)9781424451173

We present developments in the search for engineered radio emissions from advanced extraterrestrial life. Our group is currently engaging in both targeted and sky survey searches for extraterrestrial intelligence (SETI), covering a wide variety of narrow-band and pulsed signal types. We are also developing new SETI instrumentation, designed to be flexible, modular and to employ commodity components that lower cost and enhance upgradability. Here we will discuss the status of these observational and engineering projects, as well as prospects for future radio SETI endeavors. © 2011 IEEE.

关键词： Bandwidth Educational institutions Filter banks Physics Planets Telescopes

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Cognitive Radio Resource Management Exploiting Heterogeneous Primary Users

Cognitive Radio Resource Management Exploiting Heterogeneous...

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2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

作者： Anna Vizziello Ian F. Akyildiz Ramon Agusti Lorenzo Favalli Pietro Savazzi Broadband Wireless Networking Laboratory School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Department of Electronics University of Pavia Pavia Italy Telecommunication Engineering School (ETSETB)-Department of Signal Theory and Communications (TSC) Technical University of Catalonia Barcelona Spain

In this paper, a novel Cognitive Radio Resource Management (RRM) is proposed to improve the spectrum utilization efficiency. In this system, heterogeneous Primary Users (PUs) with multiple features are considered where these PU features are exploited to improve the adaptability in Cognitive Radio (CR) networks and, thus, to design an efficient Cognitive RRM. An optimization framework is developed by considering heterogeneous PUs and variable CR demands while assuring interference protection towards PUs. A suboptimal solution is proposed after showing that an optimal solution is computationally infeasible. Simulation results are conducted in terms of total achieved data rate and satisfaction of CRs requirements.

关键词： Resource management Interference OFDM Optimization Feature extraction Cognitive radio Indexes

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