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作者： Li, Y. Giles, A. Stokes, E. Optical Science and Engineering Graduate Program Department of Physics and Optical Science University of North Carolina at Charlotte 9201 University City Boulevard Charlotte NC 28223 United States Nanoscale Science Graduate Program Department of Chemistry 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

ISBN: (纸本)9781607681908

Wafer bonding technology is applied to the GaN/quantum dots/GaN system, where CdSe/ZnS Quantum Dots serve as both the active layer and the binding layer. Photoluminescence is observed from quantum dots following wafer bonding at various temperatures under ultra high vacuum condition. Temperature dependences of bond strength and photoluminescence properties are characterized. Annealing at elevated temperature to form wafer bonds degrades photoluminescence intensity and slightly blue shifts the wavelength. Transmission Electron Microscopy is applied to study the physical properties of vacuum annealed QDs, in which agglomeration is observed. ©The Electrochemical Society.

关键词： Gallium nitride

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A fuzzy inference system to determine the number of clones in the clonal selection algorithm

A fuzzy inference system to determine the number of clones i...

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World Congress on Nature & Biologically Inspired Computing (NaBIC)

作者： Luiz Antonio Carraro Leandro Nunes de Castro Angelita Maria de Ré Computer and Informatics Faculty & Graduate Program in Electrical Engineering Mackenzie University São Paulo Brazil Computer Science Department State University of West-Center Parana Guarapuava Brazil

Artificial Immune Systems (AISs) are composed of techniques inspired by immunology. The clonal selection principle ensures the organism adaptation to fight invading antigens by an immune response activated by the binding of antigens and antibodies. As an immune response can be elicited even when the binding between an antigen and an antibody is not perfect, an approximate binding might suffice, and a Fuzzy Logic mechanism might be the most appropriate mechanism to control such process. This paper presents a novel hybrid model based on concepts of Immune and Fuzzy Systems with applications to pattern recognition problems. The preliminary results obtained here suggest the proposed model is a promising pattern recognition tool.

关键词： Variable speed drives Animals

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Dilatometric study of ferroelectric Rb2CdI4 monoclinic crystal grown by czochralski method

Dilatometric study of ferroelectric Rb2CdI4 monoclinic cryst...

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12th International Meeting on Ferroelectricity, IMF-12 and the 18th IEEE International Symposium on Applications of Ferroelectrics, ISAF-18

作者： Yamaguchi, T. Gotou, S. Miyoshi, T. Kasano, H. Mitsui, T. Kurihama, T. Shimizu, F. Takashige, M. Department of Electrical Engineering School of Science and Engineering Meisei University Hino-shi Tokyo 191-8506 Japan Electrical Engineering Graduate School of Science and Engineering Meisei University Hino-shi Tokyo 191-8506 Japan Department of Physics Graduate School of Science and Engineering Yamaguchi University Yamaguchi-shi Yamaguchi 753-8512 Japan Laboratory of Developmental Program Faculty of Pharmaceutical Sciences Teikyo University Sagamihara-shi Kanagawa 229-0195 Japan Department of Electronics and Information Engineering College of Engineering Chubu University Kasugai-shi Aichi 487-8501 Japan Department of Electronics and Computer Science College of Science and Engineering Iwaki Meisei University Iwaki-shi Fukushima 970-8551 Japan

Crystal growth of Rb2CdI4 was performed by Czochralski method. Transparent colourless crystals with monoclinic structure were obtained. Temperature dependence of the dielectric constant along the b-axis was measured with variation of frequency. The thermal expansions x i (i = a, b, c and a′;a′ = a + c) along the four independent axes were measured both by clip-type strain-gauge dilatometer and X-ray diffraction methods. These results show distinct anomalies associated with the ferroelectric transition at TC= 210 K. Copyright © 2010 Taylor & Francis Group, LLC.

关键词： X ray diffraction

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Incipient fault detection in induction machine stator-winding using a fuzzy-Bayesian two change points detection approach

Incipient fault detection in induction machine stator-windin...

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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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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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Photonic crystal defects with increased surface area for improved refractive index sensing

Photonic crystal defects with increased surface area for imp...

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Conference on Lasers and Electro-Optics

作者： Kang, Christopher Phare, Christopher Weiss, Sharon M. Vlasov, Yurii A. Assefa, Solomon Interdisciplinary Graduate Program in Materials Science Vanderbilt University Nashville TN 37235 United States Department of Physics and Astronomy Vanderbilt University Nashville TN 37235 United States Department of Electrical Engineering and Computer Science Vanderbilt University 37235 United States IBM. T.J. Watson Research Center Yorktown Heights NY 10536 United States

Photonic crystal cavities with tunable surface area via multiple-hole defects were investigated for increased resonance wavelength shins upon exposure to variable-index analytes. Sensitivity was improved by 10% compar... 详细信息

ISBN: (纸本)9781557528902

关键词： Surface defects

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Photonic crystal defects with increased surface area for improved refractive index sensing

Photonic crystal defects with increased surface area for imp...

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Conference on Lasers and Electro-Optics, CLEO 2010

作者： Kang, Christopher Christopher Phare Weiss, Sharon M. Vlasov, Yurii A. Assefa, Solomon Interdisciplinary Graduate Program in Materials Science Vanderbilt University Nashville TN 37235 United States Department of Physics and Astronomy Vanderbilt University Nashville TN 37235 United States Department of Electrical Engineering and Computer Science Vanderbilt University Tennessee 37235 United States IBM T.J. Watson Research Center Yorktown Heights NY 10536 United States

Photonic crystal cavities with tunable surface area via multiple-hole defects were investigated for increased resonance wavelength shifts upon exposure to variable-index analytes. Sensitivity was improved by 10% compa... 详细信息

ISBN: (纸本)9781557528896

关键词： Refractive index

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

作者： Chi-Huang Chen Sheau-Ling Hsieh Yung-Ching Weng Wen-Yung Chang Feipei Lai Department of Electrical Engineering National Taiwan University Taipei Taiwan EECS International Graduate Program Institute IT Center National Chiao Tung University Hsinchu Taiwan Department of Computer Science and Engineering National Taiwan University Taiwan Institute of Computer Science and Engineering College of Computer Science National Chiao Tung University Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taiwan

Semantic similarity measure plays an essential role in Information Retrieval and Natural Language Processing. In this paper we propose a page-count-based semantic similarity measure and apply it in biomedical domains. Previous researches in semantic web related applications have deployed various semantic similarity measures. Despite the usefulness of the measurements in those applications, measuring semantic similarity between two terms remains a challenge task. The proposed method exploits page counts returned by the Web Search Engine. We define various similarity scores for two given terms P and Q, using the page counts for querying P, Q and P AND Q. Moreover, we propose a novel approach to compute semantic similarity using lexico-syntactic patterns with page counts. These different similarity scores are integrated adapting support vector machines, to leverage the robustness of semantic similarity measures. Experimental results on two datasets achieve correlation coefficients of 0.798 on the dataset provided by A. Hliaoutakis, 0.705 on the dataset provide by T. Pedersen with physician scores and 0.496 on the dataset provided by T. Pedersen et al. with expert scores.

关键词： Semantics Biomedical measurements Correlation Kernel Training Medical services Support vector machine classification

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