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Design-dimensioning model for grid-connected photovoltaic systems

Design-dimensioning model for grid-connected photovoltaic sy...

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IEEE Canada Electric Power Conference, EPEC

作者： Johann Hernandez Nelson L. Diaz Gerardo Gordillo Laboratorio de Investigacion en Fuentes Alternativas de Energia LIFAE of Universidad Distrital F.J.C. and Grupo de Materiales Semiconductores & Energia Solar GNS&ES Universidad Nacional de Colombia Bogota Colombia Department of Electrical and computer Engineering Graduate Program in Engineering Industrial AutomationLIFAE GMS&ES Universidad Nacional de Colombia Bogota Colombia Grupo de Materiales Semiconductores & Energia Soolar GMS&ES Universidad Nacional Bogota Colombia

ISBN: (纸本)9781424445080;9781424445097

The main goal in design of grid connected photo voltaic systems is to maximize the energy generation based on local energy requirements, weather conditions, economic and social impact. These factors ought to be taken into account to perform a model that allow design grid-connected photo voltaic systems. In this paper a design-dimensioning model for a small grid-connected photo voltaic systems is developed. This model is based on energy conditions instead of power conditions. There are shown the two main trends that are typically used in the design process and the calculation of the two main components of the system (generator and inverter). An example of the design for a system located in Bogota-Colombia is studied.

关键词： Photovoltaic systems Power grids Power system modeling Mesh generation Inverters Solar power generation Power generation Power system economics Power generation economics DC generators

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Virtual instrumentation interfaces for real-time control and display of electric machine drives

Virtual instrumentation interfaces for real-time control and...

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2008 ASEE Annual Conference and Exposition

作者： Sundaram, Ramakrishnan Mak, Fong Tandle, Sunil Gannon University Department of Electrical and Computer Engineering Gannon University Gannon/GE Transportation Embedded System Graduate Program

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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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Power Quality survey factor analysis using Multivariable Linear Regression (MVLR)

Power Quality survey factor analysis using Multivariable Lin...

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International Conference on Harmonics and Quality of Power

作者： H.M.S.Chandana Herath V.J. Gosbell S. Perera D. Stirling Energy Australia and a Post graduate Student University of Wollongong NSW Australia School of Electrical Computer & Telecommunications Engineering University of Wollongong NSW Australia

ISBN: (纸本)9781424417711

During the past two decades, there has been a considerable number of power quality (PQ) monitoring programs completed throughout the world. The information collected during these surveys can provide a detailed picture of the expected electrical environment help utilities to plan their future networks in relation to power quality performance. The mass of data gathered for a sample of sites of a large-scale power quality (PQ) survey of this nature has the potential to reveal good and bad influences on power quality if an appropriate procedure for analysis can be determined. If it is known which characteristics are more important in determining the levels of particular PQ disturbances, it could be expected that other sites with similar characteristics would also present similar PQ levels. This paper aims to assess the levels of PQ disturbances and factors that influence good or bad PQ levels in a large scale PQ survey. For this, the Australian National power quality benchmark survey data has been analysed and compared for the dominant factors in long term PQ data. In this analysis, multivariable linear regression (MVLR) has been identified as a useful tool for factor analysis of complex power quality data.

关键词： Power quality Linear regression Data analysis Monitoring Large-scale systems Australia Energy management Environmental management Quality management Particle measurements

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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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A neural network modelling of steel joint block shear capacity

A neural network modelling of steel joint block shear capaci...

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9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental engineering, AICivil-Comp 2007

作者： Rodrigues, F. Neto, L. Biondi Da S. Vellasco, P.C.G. De Lima, L.R.O. Vellasco, M.M.B.R. Post-Graduate Program in Civil Engineering Brazil Electronic Engineering Department Brazil Structural Engineering Department State University Rio de Janeiro Brazil Electrical Engineering Department Pontifical Catholic University Rio de Janeiro Brazil

ISBN: (纸本)9781905088201

Despite the multiple failure modes associated to bolted steel joints the block shear failure is frequently the controlling limit state of gusset plates, tension members and coped beam joints. The block shear rupture is characterised by a condition where a steel block area, nearby the holes of bolted joint region, reaches its maximum capacity dictated by a tension to shear interaction. If the joint is loaded beyond this limit a steel block is eventually separated from the main structure. Many models have been proposed to avoid shear block failure in steel design. These models incorporate a combination of the various hypotheses that control the structural rupture. In the majority of cases, it involves a combination of rupture and yielding in the tension and shear planes of the designed joint. Various design formula for this structural engineering problem were proposed all over the years but a closed solution has not yet been reached, due to the influence of several independent parameters. Many studies have already been carried out with the available experimental data, however, non negligible errors are still present in the current design formulae. The main objective of the present paper is to present a back propagation neural network evaluation of the block shear phenomenon. The main neural network input parameters were the geometrical and material variables that control the block shear design. The neural network output parameter was the block shear capacity. The neural network training was based on experimental results present in literature and adopted cross validation techniques to avoid the neural network overfitting. The neural network results were promising, with reduced associated errors and confirmed the possibility of using this methodology to generate trustworthy data. These new data, coupled with the existent experiments, can help the production of more accurate design formulae. © Civil-Comp Press, 2007.

关键词： Neural networks

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