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39th Annual Frontiers in Education Conference: Imagining and engineering Future CSET Education, FIE 2009

作者： Doboli, Alex Doboli, Simona Currie, Edward State University of New York at Stony Brook Department of Electrical and Computer Engineering Stony Brook NY 11794-2350 United States Computer Engineering Program Hofstra University Department of Computer Science Hempstead NY United States Resonance Publications Inc. United States

ISBN: (纸本)9781424447152

This paper discusses our ongoing efforts on developing, and conducting, senior design projects that involve undergraduate students working together on entrepreneurial, innovative projects. The students are from multiple universities, some of which are abroad. The goal is to emulate the main elements of global engineering teams that develop complex, multidisciplinary designs while targeting market-related constraints, such as price, reliability, size and ease-of-use. This paper discusses the goals and organization of the global student teams, and presents our experience in working with such teams. © 2009 IEEE.

关键词： Students

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A neuromorphic head direction cell system

A neuromorphic head direction cell system

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Tarek M. Massoud Timothy K. Horiuchi Electrical and Computer Engineering Department Institute of Systems Research Neuroscience and Cognitive Science Program University of Maryland College Park MD USA

ISBN: (纸本)9781424438273

The head direction (HD) cell system in the brain of mammals is thought to be part of the neural circuitry supporting their spatial navigation capabilities. In this paper we present a neuromorphic VLSI system that mimics the operation of the HD system. Relying on spiking neurons and attractor dynamics, this system can be used to represent and retain the current estimate of head orientation in the environment and integrate angular velocity to update this estimate. The presented system is a first step towards more general odometry systems that could be used for modeling biological navigation systems.

关键词： Neuromorphics Neurons High definition video Navigation Very large scale integration Biological system modeling Brain Neuroscience cognitive science Educational institutions

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Fluidic intraocular lens with a large accommodation range

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IEEE Photonics Technology Letters 2009年第5期21卷 304-306页

作者： Qiao, Wen Tsai, Frank S. Cho, Sung Hwan Yan, Huimin Lo, Yu-Hwa for Optical Instrument Zhejiang University Hangzhou 310027 China Department of Electrical and Computer Engineering Jacobs School of Engineering University of California San Diego CA 92093-0407 United States Materials Science and Engineering Program Jacobs School of Engineering University of California San Diego San DiegoCA 92093-0418 United States

Fluidic lenses with tunable focal distances were experimented in a human eye model as intraocular lenses (IOLs). Fluidic IOL shows superior performance to fixed or optic-shift accommodating IOLs because of their much wider accommodation range. Our results demonstrate that fluidic IOL can achieve an accommodation range of eight diopters, equivalent to the performance of young adults. Finite-element analysis shows that the required force for the fluidic IOL to achieve the desired amount of accommodation is comparable to the force generated from ciliary muscles of human eyes, as an initial indication that an implanted fluidic IOL may be controllable by eye muscles. © 2009 IEEE.

关键词： Intraocular lenses

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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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2009 WRI World Congress on computer science and Information engineering, CSIE 2009

作者： Wu, Shaozhi Xu, Peng Asgari, Shadnaz Bergsneider, Marvin Hu, Xiao Department of Neurosurgery David Geffen School of Medicine University of California Los Angeles CA United States Biomedical Engineering Graduate Program Henry Samueli School of Engineering and Applied Science University of California Los Angeles CA United States School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9780769535074

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. © 2008 IEEE.

关键词： Flow velocity

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Serendipitous discoveries in microarray analysis

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BMC Bioinformatics 2010年第4期11卷 1-1页

作者： Sally R Ellingson Charles A Phillips Michael A Langston Randy Glenn Douglas Swanson Thomas Ha Daniel Goldowitz Genome Science and Technology Program University of Tennessee Knoxville TN 37996 USA Department of Electrical Engineering and Computer Science University of Tennessee Knoxville TN 37996 USA Centre for Molecular Medicine and Therapeutics University of British Columbia Vancouver BC V5Z 4H4 Canada

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LFP beta power predicts cursor stationarity in BMI task

LFP beta power predicts cursor stationarity in BMI task

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2009 4th International IEEE/EMBS Conference on Neural engineering, NER '09

作者： Ranade, Gireeja V. Ganguly, Karunesh Carmena, Jose Department of Electrical Engineering and Computer Sciences University of California Berkeley CA United States Helen Wills Neruoscience Institute University of California Berkeley CA United States Program in Cognitive Science University of California Berkeley CA United States Department of Neurology University of California San Francisco CA United States

ISBN: (纸本)9781424420735

Beta band oscillations in the local field potential (LFP) have been previously related to behavior in motor tasks. We investigated the correlations between beta oscillations and movement state for brain-machine interfaces. Two macaque monkeys were trained to perform a center-out motor task on a computer under normal movement control and under a 'brain control' paradigm, where neural firing directly controls the cursor. In both cases, LFP beta power decreased after movement onset. High beta power was predominantly observed with low movement velocity and vice versa. This observation was used to predict the stationarity of a computer cursor during brain control. ©2009 IEEE.

关键词： Interface states

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System identification of magneto-rheological damper using group method of data handling (GMDH)

System identification of magneto-rheological damper using gr...

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2009 6th International Symposium on Mechatronics and its Applications, ISMA 2009

作者： Assaleh, Khaled Shanableh, Tamer Kheil, Yasmeen Abu Department of Electrical Engineering American University of Sharjah United Arab Emirates Department of Computer Science and Engineering American University of Sharjah United Arab Emirates Mechatronics Graduate Program American University of Sharjah United Arab Emirates

ISBN: (纸本)9781424434817

In this paper Group Method of Data Handling (GMDH) technique is implemented and applied to the system identification problem of a Magneto-Rheological (MR) damper. GMDH networks are used to approximate the forward and inverse dynamic behaviors of a MR damper. The difficulty of this identification problem stems from the inherent hysteretic and highly nonlinear dynamics of MR dampers. The GMDH-based solution exhibits comparable identification accuracy in both the forward and inverse models as compared to state-of-the-art more computationally extensive solutions. © 2009 IEEE.

关键词： Inverse problems

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Microstructural and pinning properties of YBa2Cu 307-δ thin films doped with magnetic nanoparticles

Microstructural and pinning properties of YBa2Cu 307-δ thin...

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作者： Wang, Jie Tsai, Chen-Fong Bi, Zhenxing Naugle, Donald G. Wang, Haiyan Department of Electrical and Computer Engineering Material Science and Engineering Program Texas A and M University College Station TX 77843 United States Department of Physics Texas A and M University College Station TX 77843 United States

In this paper, we report a strong enhancement in the in-field transport properties of the YBa2Cu307-δ (YBCO) thin films doped with magnetic Fe203 nanoparticles. We incorporated magnetic Fe2o3nanoparticles with two different architectures by laser ablation of the YBCO and dopant targets. YBCO film ' thickness was controlled at around 1 μm for all the samples. We conducted a detailed microstructural characterization on all the doped samples by X-ray diffraction (XRD) and cross-sectional transmission electron microscopy (TEM) and compared with the pure YBCO films. A systematic study on the superconducting properties has been conducted on all the thin film samples. The critical current densities at both self-field and in-field (Jcf and j in-field (h//c)) and the critical transition temperature (Tc) of the doped and un-doped YBCO sample were measured by a Superconducting Quantum Interference Device (SQUID). The Tc of the doped YBCO films varies from 84 K-90 K and the Jc is in the range of 1.2-3.9 MA/cm2 (at 65 K) depending on the doping approach. The pinning properties of these doped YBCO films were explored at different temperatures (5 K, 40 K, and 65 K) and correlated with their microstructural characteristics. © 2009 IEEE.

关键词： Nanoparticles

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Comparison of threshold selection methods for microarray gene co-expression matrices

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BMC Research Notes 2009年第1期2卷 1-6页

作者： Borate, Bhavesh Chesler, Elissa Langston, Michael Saxton, Arnold Voy, Brynn Genome Science and Technology Program University of Tennessee Knoxville TN United States Department of Electrical Engineering and Computer Science University of Tennessee Knoxville TN United States Oak Ridge National Laboratory Systems Genetics Group Biosciences Division Oak Ridge TN United States Department of Animal Science University of Tennessee Knoxville TN United States

Background. Network and clustering analyses of microarray co-expression correlation data often require application of a threshold to discard small correlations, thus reducing computational demands and decreasing the number of uninformative correlations. This study investigated threshold selection in the context of combinatorial network analysis of transcriptome data. Findings. Six conceptually diverse methods - based on number of maximal cliques, correlation of control spots with expressed genes, top 1% of correlations, spectral graph clustering, Bonferroni correction of p-values, and statistical power - were used to estimate a correlation threshold for three time-series microarray datasets. The validity of thresholds was tested by comparison to thresholds derived from Gene Ontology information. Stability and reliability of the best methods were evaluated with block bootstrapping. Two threshold methods, number of maximal cliques and spectral graph, used information in the correlation matrix structure and performed well in terms of stability. Comparison to Gene Ontology found thresholds from number of maximal cliques extracted from a co-expression matrix were the most biologically valid. Approaches to improve both methods were suggested. Conclusion. Threshold selection approaches based on network structure of gene relationships gave thresholds with greater relevance to curated biological relationships than approaches based on statistical pair-wise relationships. © 2009 Saxton et al;licensee BioMed Central Ltd.

关键词： Spectral Cluster Maximal Clique Threshold Estimate Biological Relationship Spectral Graph

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Multi-spectrum image fusion algorithm based on weighted and improved wavelet transform

Multi-spectrum image fusion algorithm based on weighted and ...

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IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS)

作者： Zhiwen Wang Shaozi Li Qixian Cai Songzhi Su MeiZhen Liu Cognitive Science Department Xiamen University China Cognitive Science Department Xiamen University Xiamen China Department of Computer Engineering GXUT Liuzhou China Library Guangxi University of Technology Liuzhou China

ISBN: (纸本)9781424447374;9781424447541

A multi-spectrum image fusion algorithm with weighted bi-orthogonal self-adaptive wavelet transform is put forward in this paper, which can make up for defects that there are faintness of image details in multi-spectrum image fusion of lower contrast image. The self-adaptive method of wavelet coefficient local model maximum which is weighted is used to fuse the high frequency components and the syncretism adaptive method is also chosen in the course of fusing low frequency coefficient. The capability of multi-spectrum image fusion is evaluated by calculating mean grads of image. The experimental results show that the fusion rule of our proposed method is more effective.

关键词： Image fusion Wavelet transforms Low pass filters Information filtering Information filters cognitive science Frequency Fuses Phase distortion Libraries

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