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Modeling of communications in the safety assessment of nuclear power plants

Modeling of communications in the safety assessment of nucle...

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2008 Winter Meeting and Nuclear Technology Expo: Nuclear Power-Ready, Steady, Go

作者： Mandelli, D. Kirschenbaum, J. Mangan, L.A. Ekici, E. Aldemir, T. Nuclear Engineering Graduate Program Ohio State University Columbus OH 43210 Department of Computer Science and Engineering Ohio State University Columbus OH 43210 Department of Electrical and Computer Engineering Ohio State University Columbus OH 43210

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Design of fuzzy controller for automatic steering

Design of fuzzy controller for automatic steering

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作者： Ko, Sang-Jin Lee, Jun-Woo Choi, Byoung-Suk Lee, Ju-Jang Graduate School of Automobile Technology KAIST Daejeon Korea Republic of Robotics Program KAIST Daejeon Korea Republic of Department of Electrical Engineering and Computer Science KAIST Daejeon Korea Republic of

ISBN: (纸本)9784990288020

Unmanned vehicle is future vehicle technology. Lateral control technology and longitudinal control technology are needed for unmanned vehicle. Automatic steering system is lateral control technology. A automatic steering system automatically controls the steering to keep the vehicle in its land and also to follow the lane as it curves around. This paper proposes automatic steering system based on fuzzy logic. If the fuzzy rules are set properly, the fuzzy controller can control the objective system nicely. To design an automatic steering system, lateral error dynamics of a vehicle is derived. The proposed automatic steering system is evaluated by SIMULINK in MATLAB. The simulation results show that the proposed automatic steering system works satisfactorily for keeping the vehicle in its land and following the lane. ©ISAROB 2008.

关键词： Fuzzy control

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Light scattering by white-emitting CdSe nanocrystals and traditional YAG:Ce3+ phosphor particles

Light scattering by white-emitting CdSe nanocrystals and tra...

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2008 MRS Fall Meeting

作者： Gosnell, Jonathan D. Weiss, Sharon M. Interdisciplinary Graduate Program in Materials Science Vanderbilt University Station B 350106 Nashville TN 37235 United States Department of Electrical Engineering and Computer Science Vanderbilt University Station B 351824 Nashville TN 37235 United States

ISBN: (纸本)9781615677740

In order for solid state lighting technology to become a mainstream technology, one of the major challenges to overcome is increasing the efficiency of these devices while maintaining a proper color balance. A significant source of efficiency loss in commercial phosphor-based white light-emitting diodes (LEDs) is light scattering off large, micron-sized phosphor particles. The use of recently reported single-size CdSe white-light nanocrystals in place of traditional phosphors, such as YAG:Ce3+, could lead to lower scattering losses and higher device efficiencies as a result of the extremely small CdSe core diameter of approximately 1.5 nm. This work theoretically and experimentally investigates the absorption, scattering, and extinction coefficients and cross sections of CdSe white-light nanocrystals in comparison to YAG:Ce3+ phosphor particles. Calculations were performed based on the Rayleigh approximation and Mie theory of scattering. Experiments were carried out using thin films of encapsulated nanocrystals. By measuring the absorbance and thickness of the films, in addition to the concentration of the nanocrystals, extinction coefficients and cross sections were determined using the Beer-Lambert law. A reasonable agreement was obtained between theoretical and experimental data showing that the size of the particle has a significant impact on the extinction, absorption, and scattering properties of thin films. The considerably reduced scattering from the nanocrystals compared to traditional phosphors, along with their inherent high quality white light emission, makes them a promising candidate for future solid state lighting applications. © 2009 Materials Research Society.

关键词： Cadmium compounds

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Nanoscale porous silicon waveguides for biosensing applications

Nanoscale porous silicon waveguides for biosensing applicati...

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21st Annual Meeting of the IEEE Lasers and Electro-Optics Society, LEOS 2008

作者： Rong, G. Wei, X. Kang, C. Liscidini, M. Sipe, J.E. Mernaugh, R.L. Weiss, S.M. 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 Department of Physics Institute for Optical Sciences University of Toronto Toronto ON M5S 1A7 Canada Department of Biochemistry Vanderbilt University Nashville TN 37235 United States

Nanoscale porous silicon waveguides, both on silicon substrates and free-standing membranes, are explored for biosensing applications. Measured detection limits in the nanomolar range are reported for DNA sensing. ... 详细信息

ISBN: (纸本)9781424419326

关键词： Porous silicon

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Using a literature-based NMF model for discovering gene functional relationships

Using a literature-based NMF model for discovering gene func...

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IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)

作者： Elina Tjioe Michael Berry Ramin Homayouni Genome Science and Technology Graduate School University of Tennessee Knoxville TN USA Department of Electrical Engineering and Computer Science University of Tennessee Knoxville TN USA Bioinformatics Program Department of Biology University of Memphis Memphis TN USA

The rapid growth of the biomedical literature and genomic information presents a major challenge for determining the functional relationships among genes. In this study, we develop a Web-based bioinformatics software environment called FAUN or feature annotation using nonnegative matrix factorization (NMF) to facilitate both the discovery and classification of functional relationships among genes. Both the computational complexity and parameterization of NMF for processing gene sets are discussed. We tested FAUN on three manually constructed gene document collections, and then used it to analyze several microarray-derived gene sets obtained from studies of the developing cerebellum in normal and mutant mice. FAUN provides utilities for collaborative knowledge discovery and identification of new gene relationships from text streams and repositories (e.g., MEDLINE). It is particularly useful for the validation and analysis of gene associations suggested by microarray experimentation.

关键词： Bioinformatics Genomics Data mining Matrix decomposition Large scale integration Feature extraction Iterative methods Biological system modeling computer science Computational biology

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Nanoscale porous silicon waveguides for biosensing applications

Nanoscale porous silicon waveguides for biosensing applicati...

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IEEE Photonics Conference (IPC)

作者： G. Rong X. Wei C. Kang M. Liscidini J. E. Sipe R. L. Mernaugh S. M. Weiss Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN USA Interdisciplinary Graduate Program in Materials Science Vanderbilt University Nashville TN USA Department of Physics and Institute for Optical Sciences University of Toronto Toronto ONT Canada Department of Biochemistry Vanderbilt University Nashville TN USA

关键词： Silicon Biosensors Optical waveguides Gratings Biomembranes Resonance DNA Biological materials Optical materials Optical surface waves

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Cooperative university/industry development of a freshman 'introduction to ECE design' course

Cooperative university/industry development of a freshman 'i...

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114th Annual ASEE Conference and Exposition, 2007

作者： Williams, Douglas Butera, Robert Uluagac, Selcuk Clark, Matthew Deck, Andy Torba, Michael Trahan, Steven Georgia Institute of Technology United States Undergraduate Affairs School of Electrical and Computer Engineering Georgia Tech. Georgia Department of Electrical and Computer Engineering Interdisciplinary Bioengineering Graduate Program Georgia Tech. United States Georgia Tech. School of Electrical and Computer Engineering United States National Instruments National Instruments Austin TX United States

Faculty members from Georgia Tech's School of electrical and computer engineering (ECE) have worked jointly with engineers from National Instruments (NI) to develop a new freshman engineering course. This course is entitled 'Introduction to ECE Design' and is constructed around the use of the LEGO MINDSTORMS NXT robotics system. NI partnered with LEGO to jointly develop the programming software for the MINDSTORMS NXT, and their engineers are uniquely positioned to provide insight into the use and functionality of these kits. NI engineers have not only provided technical support but have also conceived and designed most of the laboratories for the course. This course addresses the diverse objectives of providing students with a systems-level design experience at the beginning of their academic programs and introducing them to a broad range of ECE disciplines. A primary goal is to enable students to make better-informed decisions when choosing whether or not to major in electrical engineering or computer engineering. © American Society for engineering Education, 2007.

关键词： Systems engineering

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General Type-2 Fuzzy Inference Systems: Analysis, Design and Computational Aspects

General Type-2 Fuzzy Inference Systems: Analysis, Design and...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Luis Alberto Lucas Tania Mezzadri Centeno Myriam Regattieri Delgado Graduate School of Electrical Engineering and Applied Computer Science Federal University of Technology of Paraná (UTFPR) Curitiba Pernambuco Brazil

The aim of this work is to handle non-interval type-2 fuzzy logic systems (NIT2 FLS) in a simple manner. We retrieve an alternative representation of Type-2 fuzzy sets (T2 FS) that we call general footprint of uncertainty. Such representation, not only lets us easily visualize T2 FS in two-dimensions but also makes the understanding of basic operations and the inference procedure easier. We introduce the concept of supremum of a T2 FS and translation and cylindric extension for vertical slices to support the adopted inference mechanism, based on the scaled inference mechanism of Type-1 FIS. Finally, we propose a new defuzzification method, the vertical slice centroid type reduction, which requires low computational effort. Some calculations are presented to illustrate that the theory and simplifications proposed in this paper make NIT2 FLS, referred here as general type-2 fuzzy inference systems, much more accessible to FIS designers.

关键词： Fuzzy systems Fuzzy sets Fuzzy logic Uncertainty Inference mechanisms Equations Fuzzy set theory Visualization computer science Plasma welding

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New Neurofuzzy Training Procedure Based on Participatory Learning Paradigm

New Neurofuzzy Training Procedure Based on Participatory Lea...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Michel Hell Pyramo Costa Fernando Gomide Department of Computer Engineering and Automation (DCA) Faculty of Electrical and Computer Engineering (FEEC) State University of Campinas Sao Paulo Brazil Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Belo Horizonte Minas Gerais Brazil

In this paper we introduce a new approach to train neurofuzzy networks using the participatory learning concept. The participatory learning paradigm tends to emulate the human learning mechanism where an acceptance mechanism determines which observation is used for learning based upon their compatibility with the current beliefs. The performance of the proposed learning scheme is illustrated by an example involving a nonlinear system modeling problem: the thermal modeling of power transformers. Comparisons with other methods reported in the literature and between two dual network structures are also included. The experimental results show the effectiveness of participatory learning in neurofuzzy networks training.

关键词： Power system modeling Fuzzy systems Power transformers Training data Humans Nonlinear systems Neural networks Fuzzy sets Power engineering computing Power engineering and energy

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Decision fusion of circulating markers for breast cancer detection in premenopausal women

Decision fusion of circulating markers for breast cancer det...

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Jesneck, Jonathan L. Mukherjee, Sayan Nolte, Loren W. Lokshin, Anna E. Marks, Jeffrey R. Lo, Joseph Department of Biomedical Engineering Department of Statistical Science Computational Biology and Bioinformatics Program Duke Advanced Imaging Labs. Institute for Genome Sciences and Policy Department of Computer Science Duke University Department of Electrical and Computer Engineering Division of Hematology/Oncology University of Pittsburgh School of Medicine University of Pittsburgh Cancer Institute Pittsburgh PA 15213 United States Department of Experimental Surgery Duke University Medical Center Medical Physics Graduate Program Duke University Durham NC 27708 United States

ISBN: (纸本)1424415098

Current mammographic screeningfor breast cancer is less effective for younger women. To complement mammography for premenopausal women, we investigated the feasibility screening test using 98 blood serum proteins. Because the data set was very noisy and contained only weak features, we used a classifier designed for noisy data: decision fusion. Decision fusion outperformed both a support vector machine (SVM) and linear regression with forward stepwise feature selection on all three two-class classification tasks: normal tissue vs. cancer, normal tissue vs. benign lesions, and benign lesions vs. cancer. Decision fusion detected cancer moderately well (AUC=0.84 on normal vs. cancer), demonstrating promise as a screening tool. Decision fusion also detected benign lesions similarly well (AUC=0.83 on normal vs. benign lesions) and was the only classifier to achieve any success in separating benign from malignant lesions (AUC=0.64 on benign vs. cancer). The classification results suggest that the assayed proteins are more indicative of a secondary effect, such as immune response, rather than specific for breast cancer. In conclusion, the decision fusion classifier demonstrated some promise in detecting breast lesions and outperformed other classifiers, especially for the very noisy classification problem of distinguishing benign from malignant lesions. ©2007 IEEE.

关键词： Tissue

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