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2010 9th IEEE/IAS International Conference on Industry Applications, INDUSCON 2010

作者： Moreira, Fabiano S. D'Angelo, Marcos F. S. V. Palhares, Reinaldo M. Caminhas, Walmir M. Federal University of Minas Gerais Graduate Program in Electrical Engineering Av. Antônio Carlos 6627 31270-901 - Belo Horizonte - MG Brazil Universidade Estadual de Montes Claros Department of Computer Science Av. Rui Braga s/n Vila Mauricéia 39401-089 - Montes Claros - MG Brazil

ISBN: (纸本)9781424480104

In this paper the incipient fault detection problem in induction machine stator-winding is considered. The problem is solved using a new technique of change point detection in time series, based on a three-step formulation. The technique can detect up to two change points in the time series. The first step consists of a Kohonen neural network classification algorithm that defines the model to be used, one change point or two change points. The second step consists of a fuzzy clustering to transform the initial data, with arbitrary distribution, into a new one that can be approximated by a beta distribution. The fuzzy cluster centers are determined by using the Kohonen neural network classification algorithm used in the first step. The last step consists in using the Metropolis-Hastings algorithm for performing the change point detection in the transformed time series generated by the second step with that known distribution. The incipient faults are detected as long as they characterize change points in such transformed time series. The main contribution of the proposed approach in this paper, related to previous one in the Literature, is to detect up to two change points in the time series considered, besides the enhanced resilience of the new fault detection procedure against false alarms, combined with a good sensitivity that allows the detection of rather small fault signals. Simulation results are presented to illustrate the proposed methodology. © 2010 IEEE.

关键词： Time series

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Growth and characteristics of GaInN/GaInN multiple quantum well light-emitting diodes

Growth and characteristics of GaInN/GaInN multiple quantum w...

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作者： Lee, Wonseok Kim, Min-Ho Zhu, Di Noemaun, Ahmed N. Kim, Jong Kyu Schubert, E.F. Future Chips Constellation and Engineering Science Program Rensselaer Polytechnic Institute Troy NY 12180 United States Samsung LED Suwon 443-743 Korea Republic of Future Chips Constellation Department of Physics Applied Physics and Astronomy Rensselaer Polytechnic Institute Troy NY 12180 United States Future Chips Constellation Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY 12180 United States Department of Materials Science and Engineering Pohang University of Science and Technology Pohang 790-784 Korea Republic of

We demonstrate GaInN multiple quantum well (MQW) light-emitting diodes (LEDs) having ternary GaInN quantum barriers (QBs) instead of conventional binary GaN QBs for a reduced polarization mismatch between QWs and QBs and an additional separate confinement of carriers to the MQW active region. In comparison with GaInN LEDs with conventional GaN QBs, the GaInN/GaInN LEDs show a reduced blueshift of the peak wavelength with increasing injection current and a reduced forward voltage. In addition, we investigate the density of pits emerging on top of the MQW layer that are correlated with V-defects and act as a path for the reverse leakage current. The GaInN/GaInN MQW structure has a lower pit density than the GaInN/GaN MQW structure as well as a lower reverse leakage current. Finally, the GaInN/GaInN MQW LEDs show higher light output power and external quantum efficiency at high injection currents compared to the conventional GaInN/GaN MQW LEDs. We attribute these results to the reduced polarization mismatch and the reduced lattice mismatch in the GaInN/GaInN MQW active region. © 2010 American Institute of Physics.

关键词： III-V semiconductors

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Application of block-oriented system identification to modelling paralysed muscle under electrical stimulation

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Lecture Notes in Control and Information Sciences 2010年 404卷 403-419页

作者： Cai, Zhijun Bai, Er-Wei Shield, Richard K. Department of Electrical and Computer Engineering University of Iowa Iowa City IA 52242 United States Graduate Program in Physical Therapy and Rehabilitation Science University of Iowa Iowa City IA 52242 United States

ISBN: (纸本)9781849965125

Most biomedical and biological systems have nonlinear dynamics [25, 27], which bring difficulties in modelling and identification. These systems are usually represented as a series of blocks, and each block stands for a linear or nonlinear subsystem. Among those block-oriented models, Wiener model, Hammerstein model and Wiener-Hammerstein model are very popular. The Wiener model is represented as a linear dynamics followed by a nonlinear static system, while the Hammerstein model is composed in the reversed order, and the Wiener-Hammerstein model is constructed as a nonlinear static system surrounded by two linear dynamics (see Figure 24.1). All those three type of models have been extensively researched, and many identification methods have been proposed (e.g. [2, 3, 4, 6, 11, 23, 31, 39, 40]). In this chapter, we use Wiener-Hammerstein system to model the paralysed muscle under electrical stimulation, and propose an effective identification method specifically for the proposed model. © 2010 Springer London.

关键词： Biological systems

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Virtual and augmented medical imaging environments: Enabling technology for minimally invasive cardiac interventional guidance

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IEEE Reviews in Biomedical engineering 2010年 3卷 25-47页

作者： Linte, Cristian A. White, James Eagleson, Roy Guiraudon, Grard M. Peters, Terry M. Biomedical Engineering Graduate Program University of Western Ontario Robarts Research Institute London ON N6A 5K8 Canada Imaging Research Laboratories Robarts Research Institute London Health Sciences Centre London ON N6A 5A5 Canada Department of Electrical and Computer Engineering University of Western Ontario Canadian Surgical Technologies and Advanced Robotics London ON N6A 5B9 Canada Canadian Surgical Technologies and Advanced Robotics London ON N6A 5A5 Canada

Virtual and augmented reality environments have been adopted in medicine as a means to enhance the clinician's view of the anatomy and facilitate the performance of minimally invasive procedures. Their value is truly appreciated during interventions where the surgeon cannot directly visualize the targets to be treated, such as during cardiac procedures performed on the beating heart. These environments must accurately represent the real surgical field and require seamless integration of pre- and intra-operative imaging, surgical tracking, and visualization technology in a common framework centered around the patient. This review begins with an overview of minimally invasive cardiac interventions, describes the architecture of a typical surgical guidance platform including imaging, tracking, registration and visualization, highlights both clinical and engineering accuracy limitations in cardiac image guidance, and discusses the translation of the work from the laboratory into the operating room together with typically encountered challenges. © 2008 IEEE.

关键词： Augmented reality

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Diagnosis of psychiatric disorders using EEG data and employing a statistical decision model

Diagnosis of psychiatric disorders using EEG data and employ...

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

作者： Ahmad Khodayari-Rostamabad James P. Reilly Gary Hasey Hubert deBruin Duncan MacCrimmon Electrical and Computer Engineering Department McMaster University Hamilton ON Canada Mood Disorders Program Saint Joseph Hospital Hamilton ONT Canada Department of Psychiatry and Behavioural Neurosciences McMaster University Hamilton ON Canada

An automated diagnosis procedure based on a statistical machine learning methodology using electroencephalograph (EEG) data is proposed for diagnosis of psychiatric illness. First, a large collection of candidate features, mostly consisting of various statistical quantities, are calculated from the subject's EEG. This large set of candidate features is then reduced into a much smaller set of most relevant features using a feature selection procedure. The selected features are then used to evaluate the class likelihoods, through the use of a mixture of factor analysis (MFA) statistical model. In a training set of 207 subjects, including 64 subjects with major depressive disorder (MDD), 40 subjects with chronic schizophrenia, 12 subjects with bipolar depression and 91 normal or healthy subjects, the average correct diagnosis rate attained using the proposed method is over 85%, as determined by various cross-validation experiments. The promise is that, with further development, the proposed methodology could serve as a valuable adjunctive tool for the medical practitioner.

关键词： Electroencephalography Brain modeling Training Data models Analytical models Medical diagnostic imaging Electrodes

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Identification of a deep acceptor level in ZnO due to silver doping

Identification of a deep acceptor level in ZnO due to silver...

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作者： Chai, J. Mendelsberg, R.J. Reeves, R.J. Kennedy, J. Von Wenckstern, H. Schmidt, M. Grundmann, M. Doyle, K. Myers, T.H. Durbin, S.M. Department of Electrical and Computer Engineering University of Canterbury Christchurch New Zealand Department of Physics and Astronomy University of Canterbury Christchurch New Zealand GNS Science Lower Hutt New Zealand Institut für Experimentelle Physik II Universität Leipzig Leipzig Germany Department of Physics West Virginia University Morgantown WV United States Materials Science and Engineering Program Texas State University San Marcos TX United States MacDiarmid Institute for Advanced Materials and Nanotechnology New Zealand

There remains considerable interest in the behavior of acceptors in ZnO, the ultimate goal being the realization of device grade p-type material. Silver is a candidate acceptor, and, in this study, in situ doping of silver was performed during plasma-assisted molecular beam epitaxy. Silver concentrations, as determined by ion beam analysis, ranged between 1018 cm -3and 1020 cm-3, with as much as 94% incorporated substitutionally on Zn lattice sites. Variable magnetic field Hall effect measurements detected no evidence of holes, and 4 K photoluminescence was dominated by donor bound excitons. Transient capacitance measurements, however, suggested that incorporated silver had led to the formation of an acceptor, located approximately 320 meV above the valence band edge, indicating that compensation remains a significant issue in determining the conductivity of ZnO. © 2009 TMS.

关键词： Zinc oxide

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Empirical Studies on Application of Genetic Algorithms and Ant Colony Optimization for Data Clustering

Empirical Studies on Application of Genetic Algorithms and A...

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computer Science Society (SCCC) International Conference Chilean FLAGGED

作者： Thelma Elita Colanzi Wesley Klewerton Guez Assunção Aurora Trinidad Ramirez Pozo Ana Cristina B. Kochem Vendramin Diogo Augusto Barros Pereira Computer Science Postgraduate Program Federal University of Paraná (UFPR) Curitiba Paraná Brazil Graduate School of Electrical Engineering and Computer Science (CPGEI) Federal Technological University of Paraná (UTFPR) Curitiba Paraná Brazil Informatics Department (DAINF)

Cluster analysis is used in several research areas to classify data sets in groups by their similar characteristics. Metaheuristic-based techniques, such as Genetic Algorithms (GAs) and Ant Colony Optimization (ACO), have been applied in order to increase the clustering algorithm performance. GA and ACO-based clustering algorithms are capable of efficiently and automatically forming natural groups from a pre-defined number of clusters. This paper presents a GA and an ACO algorithm to the clustering problem. Both algorithms were refined using local search in order to improve the clustering accuracy. The results are compared on numeric UCI databases.

关键词： Clustering algorithms Search problems Equations Mathematical model Gallium Genetic algorithms Memetics

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A multi-source micro power generator employing thermal and vibration energy harvesting

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Procedia engineering 2010年 5卷 1176-1179页

作者： Hakan Töreyin Emre Topal Haluk Külah Middle East Technical University Department of Electrical and Electronics Engineering Ankara Turkey Middle East Technical University Micro and Nano Technologies Graduate Program Ankara Turkey METU-MEMS Research and Application Center Ankara TURKEY * Currently with School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta U.S.A.

This paper introduces a new cantilever type multi-source energy harvester generating electric power from both ambient heat and vibration. Harvesting energy from vibration was realized by electromagnetic conversion, whereas the energy generation from heat was supplied by making use of Seebeck effect of Cr–Al thermocouples implemented on the microcantilevers. The measured average Seebeck coefficient is 12 μV/K per thermocouple. A total voltage of 3.3 mV was generated from the thermoelectric part and 13.4 mV from the electromagnetic part of the device. Measured total power from the fabricated chip is 1.91 nW (1.12 nW from vibration, 0.79 nW from thermoelectric).

关键词： Energy harvesting Thermoelectric, electromagnetic Vibration Micro power generation

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CdSe-ZnS quantum dot Langmuir films employing thiophene thiol as a capping ligand

CdSe-ZnS quantum dot Langmuir films employing thiophene thio...

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IEEE Southeastcon

作者： Alexander Giles Edward B. Stokes Nanoscale Science Ph.D. Program University of North Carolina Charlotte Charlotte NC USA Department of Electrical and Computer Engineering University of North Carolina Charlotte Charlotte NC USA

ISBN: (纸本)9781424458547

Core-shell CdSe-ZnS quantum dots have been one of the most actively researched nanomaterials in the past decade. In this paper we introduce thiophene thiol (TPT) as a capping ligand on the CdSe-ZnS heterostructure. These conjugated ligands allow for improved carrier transport in comparison to their saturated, long chain hydrocarbon counterparts. By demonstrating a robust and inexpensive method to deposit close packed monolayers of these nanostructures, we hope to open the door for a new family of low cost inorganic devices employing them.

关键词： Quantum dots Nanocrystals Biomedical optical imaging Optical sensors Surface cleaning Robustness Chemical technology Optical saturation Absorption Optical films

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Predicting temporal lobe epileptic seizures based on zero-crossing interval analysis in scalp EEG

Predicting temporal lobe epileptic seizures based on zero-cr...

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

作者： Ali Shahidi Zandi Reza Tafreshi Manouchehr Javidan Guy A. Dumont Department of Electrical & Computer Engineering University of British Columbia Vancouver BC Canada Mechanical Engineering Program Texas A and M University Qatar Doha Qatar MD FRCPC Division of Neurology Department of Medicine University of British Columbia Vancouver BC Canada

A novel real-time patient-specific algorithm to predict epileptic seizures is proposed. The method is based on the analysis of the positive zero-crossing intervals in the scalp electroencephalogram (EEG), describing the brain dynamics. In a moving-window analysis, the histogram of these intervals in each EEG epoch is computed, and the distribution of the histogram value in specific bins, selected using interictal and preictal references, is estimated based on the values obtained from the current epoch and the epochs of the last 5 min. The resulting distribution for each selected bin is then compared to two reference distributions (interictal and preictal), and a seizure prediction index is developed. Comparing this index with a patient-specific threshold for all EEG channels, a seizure prediction alarm is finally generated. The algorithm was tested on ~15.5 hours of multichannel scalp EEG recordings from three patients with temporal lobe epilepsy, including 14 seizures. 86% of seizures were predicted with an average prediction time of 20.8 min and a false prediction rate of 0.12/hr.

关键词： Electroencephalography Histograms Scalp Epilepsy Prediction algorithms Temporal lobe Sensitivity

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