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Degradation of AlGaN/GaN High Electron Mobility Transistors with Different AlGaN Layer Thicknesses under Strong Electric Field

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Chinese Physics Letters 2010年第2期27卷 243-245页

作者：杨凌马晶晶朱诚郝跃马晓华 Key Laboratory of Wide Band Gap Semiconductor Material and Device Institute of Microelectronics Xidian University Xi'an 710071 Key Laboratory of Intelligent Perception and Image Understanding (Ministry of Education) Institute of Intelligent Information Processing Xidian University Xi'an 710071 National Key Laboratory of Science and Technology on Antennas and Microwaves Xidian University Xi'an 710071

The degradation of AlGaN/GaN high electron mobility transistors （HEMTs） has a close relationship with a model of traps in AlGaN barriers as a result of high electric field. We mainly discuss the impacts of strong electrical field on the AlGaN barrier thickness of AlGaN/GaN HEMTs. It is found that the device with a thin AlGaN barrier layer is more easily degraded. We study the degradation of four parameters, i.e. the gate series resistance RGate, channel resistance R channel, gate current IG,off at VGS=-5 and VDS=0.1 V, and drain current ID,max at VGS=2 and VDS=5 V. In addition, the degradation mechanisms of the device electrical parameters are also investigated in detail.

关键词： Chinese climate network complex systems small world community

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Unified restoration method for different degraded images

Unified restoration method for different degraded images

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2010 International Conference on Optoelectronics and image processing, ICOIP 2010

作者： Hong, Hanyu Li, Liangcheng Yan, Luxin Zhang, Tianxu Laboratory for Image Processing and Intelligent Control Wuhan Institute of Technology Wuhan 430074 China Institute for Pattern Recognition and AI Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780769542522

Blurred images are caused by many factors such as defocus, motion, and atmospheric turbulence. Due to the unknown various factors that cannot be distinguished in the blurred image, it is necessary to propose a unified method for image restoration. In order to solve this problem, a unified restoration method for different degraded images is presented, in which we use edge information of blurred image to predict the blur mode. It operates by locally predicting a sharp image using edge information of blurred image and establishes a nonlinear and spatial anisotropic regularization function from the prediction sharp image and the blurred image. Then we can estimate the point spread function (PSF) and recover the blurred image quickly. A series of restoration experiments for different blured images have been performed to verify the effectiveness of the proposed method. © 2010 IEEE.

关键词： Restoration

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Electron/jet neural discrimination based on nonlinear independent components for ATLAS second-level trigger 13

Electron/jet neural discrimination based on nonlinear indepe...

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13th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, ACAT 2010

作者： Simas Filho, Eduardo F. Seixas, José M. Lima, Danilo E. F. Calôba, Luiz P. Signal Processing Laboratory COPPE/Poli Federal University of Rio de Janeiro Brazil Federal Institute of Education Science and Technology of Bahia Brazil

The Large Hadron Collider at CERN is designed to collide proton bunches at 40 MHz in the ATLAS detector. This event rate must be reduced to about 200 Hz for storage by selecting the most interesting events for physics analysis. This will be achieved in ATLAS with a three level trigger system. This work proposes the application of the Nonlinear Independent Component Analysis model in the ATLAS second-level trigger to estimate underlying factors of calorimeter information. As a pre-processing step, the calorimeter Region of Interest data are transformed into concentric energy deposition rings. In order to take advantage of the full detector segmentation, the feature extraction procedure is performed at calorimeter layer level. The independent features estimated from each layer were concatenated into a single feature vector, which was used to feed the input nodes of a neural network classifier for highly-efficient electron identification. The proposed approach achieved 97.0% of electron identification for 7.7% of background noise (QCD Jets) acceptance. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike Licence.

关键词： Digital storage

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Feature data optimization with LVQ technique in semantic image annotation

Feature data optimization with LVQ technique in semantic ima...

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2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

作者： Jiang, Ziheng He, Jing Guo, Ping School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China

ISBN: (纸本)9781424481354

In order to improve the classifier performance in semantic image annotation, we propose a novel method which adopts learning vector quantization (LVQ) technique to optimize low level feature data extracted from given image. Some representative vectors are selected with LVQ to train support vector machine (SVM) classifier instead of using all feature data. Performance is compared between the methods with and without feature data optimization when SVM is applied to semantic image annotation. Experiment results show that the proposed method has a better performance than that without using LVQ technique. © 2010 IEEE.

关键词： Support vector machines

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Kernel ICA applied to feature extraction for image annotation

Kernel ICA applied to feature extraction for image annotatio...

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2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

作者： Xu, Bingxin Guo, Ping Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781424481354

In automatic image annotation, it is often extracting low-level visual features from original image for the purpose of mapping to high level image semantic information. In this paper, we propose a novel method which integrates kernel independent component analysis (KICA) and support vector machine (SVM) for analyzing the semantic information of natural images. KICA, which contains a nonlinear kernel mapping component, is adopted to extract low-level features from the original image data. Then these feature vectors are mapped to high-level semantic words using SVM to annotate images with labels in a given semantic label set. Comparative studies have done for the performance of KICA with traditional color histogram and discrete cosine transform features. The experimental results show that the proposed method is capable of extracting the components of images as key features, and with these features to map into semantic categories, higher accuracy is achieved. © 2010 IEEE.

关键词： Support vector machines

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2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

作者： Zhang, Zhujin Wang, Shuo Zhang, Xingyi Zhang, Zheng Department of Control Science and Engineering Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China School of Computer and Information Science University of South Australia Adelaide SA 5095 Australia Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)9781424464388

Randí et al. proposed a significant graphical representation for DNA sequences, which is very compact and avoids loss of information. In this paper, we build a fast algorithm for this graphical representation with time complexity O(n2), and find another important advantage in the representation: no degeneracy. Moreover, we propose a new method to do similarity analysis of DNA sequences based on the representation. The approach adopts four elements of covariance matrix as a descriptor, and is illustrated on the first exon of beta-globin genes from 11 different species. © 2010 IEEE.

关键词： DNA sequences

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An accurately located method and secure scheme for image authentication

An accurately located method and secure scheme for image aut...

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International Conference on Multimedia technology

作者： Wang, Zuxi Wang, Wenzong Dong, Liefeng Ye, Peng Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control Wuhan China Ningbo Polytechnic Ningbo China

ISBN: (纸本)9781424478743

A novel authentication watermarking scheme for images is proposed in this paper, which holds accuracy location and high security at the same time. In the scheme, different keys are selected for different host data, and the generation and insertion of watermark is dependent on the selected key. Analyzing different pieces of watermarked data in order to launch an attack becomes impossible because of the lack of common characteristics in these pieces. Beside, to increase the security of system, the chaos technology is used to encrypt the watermark and shuffle the location of embedding. A method for tamper detecting based on the running window is proposed in the scheme. Not only can it distinguish malicious attacks from unintentional attacks, but also it can locate the tampered area accurately. Experimental results show this semi-fragile watermarking algorithm is effective and practical for content authentication. ©2010 IEEE.

关键词： Authentication

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Slowing and loss of complexity in Alzheimer's EEG: Two sides of the same coin?

International Journal of Alzheimer's Disease

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International Journal of Alzheimer's Disease 2011年第1期2011卷 539621页

作者： Dauwels, Justin Srinivasan, K. Ramasubba Reddy, M. Musha, Toshimitsu Vialatte, Franois-Benot Latchoumane, Charles Jeong, Jaeseung Cichocki, Andrzej School of Electrical and Electronic Engineering (EEE) Nanyang Technological University (NTU) Singapore 639798 50 Nanyang Avenue Singapore Department of Applied Mechanics Indian Institute of Technology Madras Chennai 600 036 India Brain Functions Laboratory Inc. Yokohama 226-8510 Japan Laboratoire SIGMA ESPCI ParisTech 75231 Paris Cedex 05 France Center for Neural Science Korea Institute of Science and Technology (KIST) Seongbuk-Gu Seoul 136-791 39-1 Hawolgok-Dong South Korea Department of Bio and Brain Engineering KAIST Daejeon 305-701 South Korea Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute Wako-Shi Saitama 351-0106 Japan

Medical studies have shown that EEG of Alzheimer's disease (AD) patients is "slower" (i.e., contains more low-frequency power) and is less complex compared to age-matched healthy subjects. The relation between those two phenomena has not yet been studied, and they are often silently assumed to be independent. In this paper, it is shown that both phenomena are strongly related. Strong correlation between slowing and loss of complexity is observed in two independent EEG datasets: (1) EEG of predementia patients (a.k.a. Mild Cognitive Impairment;MCI) and control subjects;(2) EEG of mild AD patients and control subjects. The two data sets are from different patients, different hospitals and obtained through different recording systems. The paper also investigates the potential of EEG slowing and loss of EEG complexity as indicators of AD onset. In particular, relative power and complexity measures are used as features to classify the MCI and MiAD patients versus age-matched control subjects. When combined with two synchrony measures (Granger causality and stochastic event synchrony), classification rates of 83 (MCI) and 98 (MiAD) are obtained. By including the compression ratios as features, slightly better classification rates are obtained than with relative power and synchrony measures alone. Copyright © 2011 Justin Dauwels et al.

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Musical features extraction for audio-based search

Musical features extraction for audio-based search

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IEEE Convention of the Electrical and ELectronic Engineers in Israel

作者： Ofir Lindenbaum Shai Maskit Ophir Kutiel Gideon Nave Signal and Image Processing Laboratory (SIPL) Technion-Israel Institute of Technology Haifa Israel

Mixing unrelated musical sessions is a new form of music creation, driven by the increasing popularity of media-sharing web sites such as YouTube and MySpace. The basic questions addressed in the present paper are which musical features are required for matching two musical pieces, how to decide if two musical pieces are compatible and how to measure the degree of compatibility. We present a system designed for content-based audio search that extracts musical features and finds audio tracks which are compatible to a given musical query in a music database.

关键词： Harmonic analysis Databases Music Feature extraction Instruments Correlation YouTube

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OBJECT REIDENTIFICATION IN REAL WORLD SCENARIOS ACROSS MULTIPLE NON-OVERLAPPING CAMERAS

OBJECT REIDENTIFICATION IN REAL WORLD SCENARIOS ACROSS MULTI...

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European signal processing Conference

作者： Guy Berdugo Omri Soceanu Yair Moshe Dmitry Rudoy Itsik Dvir Signal and Image Processing Laboratory (SIPL) Dept. of Electrical Engineering Technion - Israel Institute of Technology

In a world where surveillance cameras are at every street corner, there is a growing need for synergy among cameras as well as the automation of the data analysis process. This paper deals with the problem of reidentification of objects in a set of multiple cameras inputs without any prior knowledge of the cameras distribution or coverage. The proposed approach is robust to change of scale, lighting conditions, noise and viewpoints among cameras, as well as object rotation and unpredictable trajectories. Both novel and traditional features are extracted from the object. Light and noise invariance is achieved using textural features such as oriented gradients, color ratio and color saliency. A probabilistic framework is used incorporating the different features into a human probabilistic model. Experimental results show that textural features improve the reidentification rate and the robustness of the recognition process compared with other state-of-the-art algorithms.

关键词： image color analysis Cameras Feature extraction Color Robustness Lighting Trajectory

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