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

作者： Makoto Sekine Hiroyuki Mino Dominique M. Durand Graduate School of Engineering Kanto Gakuin University Yokohama Japan Department of Electrical and Computer Engineering Kanto Gakuin University Yokohama Japan Neural Engineering Center Department of Biomedical Engineering Case Western Reserve University Cleveland OH USA

It has been shown that oscillations can be generated by additive Gaussian white noise in a recurrent Hodgkin-Huxley neuron model. Type 1 oscillation was induced with stochastic resonance (SR) by additive Gaussian noise at lower amplitudes, while Type 2 oscillation was observed at higher amplitudes. However, the mechanism of Type 2 oscillation is not clear. In this article, we test the hypothesis through computer simulations that the period of the Type 2 oscillation can be affected by temperature in a recurrent neural network in which the recurrent model is constructed by four Hodgkin-Huxley (HH) neuron models. Each HH neuron model is driven by Gaussian noise and sub-threshold excitatory synaptic currents with an alpha function from another HH neuron model, and the action potentials (spike firings) of each HH neuron model are transferred to the other HH neuron model via sub-threshold synaptic currents. From spike firing times recorded, the inter spike interval (ISI) histogram was generated, and the periodicity of spike firings was detected from the ISI histogram at each HH neuron model. The results show that the probability of spike firings in the Type1 oscillation is maximized at a specific standard deviation (S.D.) of the Gaussian white noise with SR at 6.3, 15.0 and 25.0degC, while the period of the Type 2 oscillation depends on temperature. It is concluded that the Type1 oscillation can be induced by additive Gaussian white noise on the basis of a synaptic delay in the recurrent HH neuron model, whereas ISIs of the Type 2 oscillation may be determined by refractory periods of HH neuron models.

关键词： Recurrent neural networks Neurons White noise Intersymbol interference Additive white noise Strontium Gaussian noise Histograms Stochastic resonance Additive noise

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Probabilistic structure from sound

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Advanced Robotics 2009年第12-13期23卷 1687-1702页

作者： Wang, Chieh-Chih Lin, Chi-Hao Hu, Jwu-Sheng Department of Computer Science and Information Engineering Graduate Institute of Networking and Multimedia National Taiwan University Taipei 10617 Taiwan Intelligent Robotics Program of Industrial Technology Research Institute Department of Electrical and Control Engineering National Chiao Tung University HsinChu 310 Taiwan

Auditory perception is one of the most important functions for robotics applications. Microphone arrays are widely used for auditory perception in which the spatial structure of microphones is usually known. In practice, microphone array calibration can be tedious and other devices or means are required. The structure from sound (SFS) approach addresses the problem of simultaneously localizing a set of microphones and a set of acoustic events that provides a great flexibility to calibrate different setups of microphone arrays. However, the existing method does not take measurement uncertainty into account and does not provide uncertainty estimates of the SFS results. In this paper, we propose a probabilistic structure from sound (PSFS) approach using the unscented transform in which the uncertainties of the PSFS results are also available. In addition, a probabilistic sound source localization approach using the PSFS results is provided to improve sound source localization accuracy. The ample results of simulation and experiments using low-cost, off-the-shelf microphones demonstrate the feasibility and performance of the proposed PSFS approach. © 2009 VSP.

关键词： Microphone array

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Stochastic resonance can enhance information transmission of supra-threshold neural signals

Stochastic resonance can enhance information transmission of...

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

作者： Minato Kawaguchi Hiroyuki Mino Keiko Momose Dominique M. Durand Graduate School of Human Sciences Waseda University Tokorozawa Japan Department of Electrical and Computer Engineering Kanto Gakuin University Yokohama Kanagawa Japan College of Human Sciences Waseda University Tokorozawa Japan Neural Engineering Center Department of Biomedical Engineering Case Western Reserve University Cleveland OH USA

Stochastic resonance (SR) has been shown to improve detection of sub-threshold signals with additive uncorrelated background noise, not only in a single hippocampal CA1 neuron model, but in a population of hippocampal CA1 neuron models (array-enhanced stochastic resonance; AESR). However, most of the information in the CNS is transmitted through supra-threshold signals and the effect of stochastic resonance in neurons on these signals is unknown. Therefore, we investigate through computer simulations whether information transmission of supra-threshold input signal can be improved by uncorrelated noise in a population of hippocampal CA1 neuron models by supra-threshold stochastic resonance (SSR). The mutual information was estimated as an index of information transmission via total and noise entropies from the inter-spike interval (ISI) histograms of the spike trains generated by gathering each of spike trains in a population of hippocampal CA1 neuron models at N = 3D1, 2, 4, 10, 20 and 50. It was shown that the mutual information was maximized at a specific amplitude of uncorrelated noise, i.e., a typical curve of SR was observed when the number of neurons was greater than 10 with SSR. However, SSR did not affect the information transfer with a small number of neurons. In conclusion, SSR may play an important role in processing information such as memory formation in a population of hippocampal neurons.

关键词： Stochastic resonance Neurons Strontium Mutual information Signal detection Additive noise Background noise computer simulation Noise generators Entropy

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Controller design to regulate the DC voltage of a VSC converter

Controller design to regulate the DC voltage of a VSC conver...

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IEEE Canada Electric Power Conference, EPEC

作者： Carlos A. Hidalgo Mora Nelson L. Diaz Laboratorio de Investigacion en Fuentes Alternativas de Engergia LIFE of Universidad Distrital F J C Bogota Colombia Department of Electrical and Computer Engineering Graduate Program in Engineering-Industrial Automation LIFAE Universidad Nacional de Colombia Bogota Colombia

ISBN: (纸本)9781424445080;9781424445097

The basic function of VSCs is to convert the DC voltage stored in a capacitor into AC voltages or AC voltages into DC voltage. One of the advantages of the VSC is that this kind of electronic converters allow to control the active and reactive power flow with an ac-grid independently. This paper presents a short analysis of the characteristics and dynamic of VSC-HVDC, identification techniques to find transfer function to DC Voltage and Reactive Power in a rectifier station are explored, and finally controller design to regulate the DC voltage is exposed and tested by simulations using Matlab Simulink and its toolbox SimpowerSystems.

关键词： Voltage control Converters Power conversion Reactive power control Rectifiers Inverters Virtual colonoscopy Reactive power HVDC transmission Power system reliability

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Time Series Mining Approach for Noninvasive Intracranial Pressure Assessment: An Investigation of Different Regularization Techniques

Time Series Mining Approach for Noninvasive Intracranial Pre...

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computer Science and Information engineering, CSIE, WRI World Congress on FLAGGED

作者： Shaozhi Wu Peng Xu Shadnaz Asgari Marvin Bergsneider Xiao Hu Biomedical Engineering Graduate Program Henry Samueli School of Engineering and Applied Science University of California Los Angeles USA Neural Systems and Dynamics Laboratory Department of Neurosurgery the David Geffen School of Medicine University of California Los Angeles USA School of Computer Science and Engineering University of Electronic Science and Technology Chengdu China

A data mining framework has been proposed to estimate intracranial pressure (ICP) non-invasively in our previous work. In the corresponding approach, the feature vector extracted from arterial blood pressure (ABP) and flow velocity (FV) is translated to the estimated errors by the mapping function for each entry in the database. In this paper, three different mapping function solutions, linear least squares (LLS), truncated singular value decomposition (TSVD) and standard Tikhonov regularization (STR) are systemically tested to compare the possible effects of different solutions on the non-invasive ICP estimation. The conducted comparison demonstrated that the selection of mapping function solution actually influences the estimation. Among the tested three solutions for mapping function, TSVD and STR show better ICP estimation performance with smaller ICP errors than LLS.

关键词： Cranial pressure Data mining biomedical engineering Data engineering Spatial databases computer science Feature extraction Arterial blood pressure biomedical measurements Laboratories

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On the Design of Optimization Algorithms for Prediction of Molecular Interactions

On the Design of Optimization Algorithms for Prediction of M...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Darby Tien-Hao Chang Jung-Hsin Lin Chih-Hung Hsieh Yen-Jen Oyang Department of Electrical Engineering National Cheng Kung University Tainan Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Division of Mechanics Research Center for Applied Science Academia Sinica Taipei Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan

This article presents a comprehensive study on the main characteristics of a novel optimization algorithm specifically designed for simulation of protein-ligand interactions. Though design of optimization algorithms has been a research issue extensively studied by computer scientists for decades, the emerging applications in bioinformatics such as simulation of protein-ligand interactions and protein folding introduce additional challenges due to (1) the high dimensionality nature of the problem and (2) the highly rugged landscape of the energy function. As a result, optimization algorithms that are not carefully designed to tackle these two challenges may fail to deliver satisfactory performance. This study has been motivated by the observation that the RAME (Rank-based Adaptive Mutation Evolutionary) optimization algorithm specifically designed for simulation of protein-ligand docking has consistently outperformed the conventional optimization algorithms by a significant degree. Accordingly, it is of interest to conduct a comprehensive investigation on the characteristics of the proposed algorithm and to learn how it will perform in the more general cases. The experimental results reveal that the RAME algorithm proposed in this article is capable of delivering superior performance to several alternative versions of the genetic algorithm in handling highly-rugged functions in the high-dimensional vector space. This article also reports experiments conducted to analyze the causes of the observed performance difference. The experiences learned provide valuable clues for how the proposed algorithm can be effectively exploited to tackle other computational biology problems.

关键词： Algorithm design and analysis Design optimization Prediction algorithms Proteins Computational modeling Application software Bioinformatics computer simulation Genetic mutations Genetic algorithms

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Web Services Based Bio-signal System Leveraging Support Vector Machines

Web Services Based Bio-signal System Leveraging Support Vect...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Sung-Huai Hsieh Sheau-Ling Hsieh Chia-Ping Shen Wei-Hsin Chen Po-Hsun Cheng Kai-Ping Hsu Chi-Huang Chen Feipei Lai Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Information Systems Office National Taiwan University Hospital Taipei Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taiwan Department of Software Engineering National Kaohsiung Normal University Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan National Taiwan University Hospital Taipei TW

Bio-signal analysis is one of the most important approaches to biomedical engineering. The health information such as ECG, PCG, EMG and EEG are often recorded in digital format to be analyzed. In this paper, a bio-signal analyzing Web service system using Support Vector Machines (SVM) classifier technique is proposed. The bio-signals are recorded in digital format as the input of the system. In addition, based on the concept of Service-Oriented Architecture (SOA), the system under Web services .NET is designed. The system provides features including heterogeneous platform, protocols, as well as applications. The system has been designed with the purpose of seamless integration into the Health Information System.

关键词： Web services Support vector machines Support vector machine classification Service oriented architecture biomedical engineering Electrocardiography Electromyography Electroencephalography Information analysis Protocols

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Gratings on porous silicon structures for sensing applications

Gratings on porous silicon structures for sensing applicatio...

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Conference on Lasers and Electro-Optics, CLEO 2009

作者： Liscidini, M. Wei, X. Kang, C. Rong, G. Retterer, S.T. Patrini, M. Sipe, J.E. Weiss, S.M. Department of Physics University of Toronto 60 St. George St Toronto M5S 1A7 ON Canada Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN 37235 United States Interdisciplinary Graduate Program in Materials Science Vanderbilt University Nashville TN 37235 United States Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak Ridge TN 37831 United States CNISM and Dipartimento di Fisica 'A. Volta' Università degli Studi di Pavia via Bassi 6 27100 Pavia Italy

We investigate the use of gratings on porous silicon structures for sensing applications. Examples of two classes of systems are studied: grating-coupled waveguide biosensors, and diffraction-based biosensors. © ... 详细信息

ISBN: (纸本)9781557528698

关键词： Biosensors

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Assembly of CdSeS(ZnS) quantum dots in langmuir films with tertiary alkyl phosphine ligands

Assembly of CdSeS(ZnS) quantum dots in langmuir films with t...

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Nanotechnology - General - 214th ECS Meeting/PRiME 2008

作者： Giles, Alexander J. Pagan, J. Patel, K. Stokes, E.B. Nanoscale Science Graduate Program Department of Chemistry University of North Carolina at Charlotte 9201 University City Boulevard Charlotte NC 28223 United States Dot Metrics Technologies Charlotte Research Institute University of North Carolina at Charlotte 9201 University City Boulevard Charlotte NC 28223 United States Department of Electrical and Computer Engineering University of North Carolina at Charlotte 9201 University City Boulevard Charlotte NC 28223 United States Center for Optoelectronics and Optical Communications University of North Carolina al Charlotte 9201 University City Boulevard Charlotte NC 28223 United States

ISBN: (纸本)9781615672998

The focus of this paper is to describe studies on pre-prepared hydrophobic CdSeS(ZnS) quantum dots (QDs) at the air-water interface. Surface pressure-area (π-A) isotherms were extensively studied using QDs capped with either trioclylphosphine oxide or triethylphosphine oxide. The role of these two different ligands on monolayer behavior and thin film quality has been investigated using the Langmuir-Blodgett (LB) technique. The thin films were characterized by scanning electron microscopy (SEM), fluorescence spectroscopy, and UV-vis spectroscopy. ©The Electrochemical Society.

关键词： Cadmium compounds

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Comparison of Different Approaches to ICP Dominated Pulse Extraction

Comparison of Different Approaches to ICP Dominated Pulse Ex...

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International Conference on Bioinformatics and biomedical engineering (ICBBE)

作者： Peng Xu Shaozhi Wu Shadnaz Asgari Magdalena Kasprowicz Marvin Bergsneider Xiao Hu Center of Neuroinformatics School of Life Science and Technology University of Electronic Science and Technology Chengdu China Neural Systems and Dynamics Laboratory Department of Neurosurgery the David Geffen School of Medicine University of California Los Angeles USA School of Computer Science and Engineering University of Electronic Science and Technology Chengdu China Biomedical Engineering Graduate Program Henry Samueli School of Engineering and Applied Science University of California Los Angeles USA University of California Los Angeles Los Angeles CA US

Changes of ICP waveform morphology are characterized with different patients' states like hypertension, hydrocephalus and traumatic brain injury etc. Morphological clustering and analysis of ICP pulse (MOCAIP) approach is recently developed to extract ICP morphology feature, in which hierarchical clustering is used to extract the dominated pulse. In this paper, we evaluate the feasibility of using principle component analysis (PCA) and independent component analysis (ICA) to extract dominated pulse. The comparative study among clustering, PCA and ICP based approaches shows that PCA approach may be an alternative of clustering approach to extract dominated pulse in a faster fashion when dataset is of large size.

关键词： Independent component analysis Morphology Principal component analysis biomedical engineering Feature extraction Electrocardiography Tellurium Hypertension Data mining Laboratories

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