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24th International Conference on Production Research, ICPR 2017

作者： Rudek, M. Gumiel, Y.B. Canciglieri, O. Carvalho, D.R. Trajanovic, M. Industrial and Systems Engineering Post-Graduate Program PUCPR Imaculada Conceicao Street 1155 zip code CuritibaParana80215-901 Brazil Graduate Program on Health Technology in Pontifical Catholic University of Parana PUCPR Imaculada Conceicao Street 1155 zip code CuritibaParana80215-901 Brazil Faculty of Mechanical Engineering University of Nis Aleksandra Medvedeva 14 Niš18000 Serbia

ISBN: (纸本)9781605955070

Currently the computational modelling tools, expert algorithms for image segmentation and three-dimensional printing devices have improved the process of manufacture of customized pieces in the context of automation of prosthesis modelling. Among several strategies to obtain the correct shape of a missing bone part, we explore a modelling method based on geometric features defined by Bezier cubic curves. The data is obtained from sets of slices of tomographic scans as a reference. From the images, we know about data from the edges in the image but we do not have any information about a missing area in a specific bone region. Thus, the objective is to search patterns for features whose values are known from similar tomographic image which matches to fill a hole in a bone. Due the free form of a bone there are a lot of parameters to be evaluated. Thus, a Data Mining approach is applied for classification and to discover the best features as shape descriptors. In this way, the prosthesis manufacture can be automated in all stages among image scanning and printing. © 2017 DEStech Publications. All rights reserved.

关键词： Image enhancement

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Resolution of one-dimensional bin packing problems using augmented neural networks and minimum bin slack

Resolution of one-dimensional bin packing problems using aug...

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作者： De Almeida, Ricardo Steiner, Maria Teresinha Arns Industrial and Systems Engineering Post-Graduate Program Pontifical Catholic University of Paraná - PUCPR Curitiba Brazil

The objective of this work is to compare the augmented neural network (AugNN) metaheuristic to minimum bin slack (MBS) heuristic to solve combinatorial optimisation problems, specifically, in this case, the one-dimensional bin packing problem (1D-BPP), a class of cutting and packing problems (CPP). CPP are easily found among various industry sectors and its proper treatment can improve the use of stocks in cutting problems or optimise physical space in packing problems. In order to optimise AugNN parameters, a design of experiment (DOE) was applied in order to guide a statistical analysis of different configurations of AugNN. The tests, developed in many benchmark problems found in the literature, showed that MBS heuristic was, in general superior, both in terms of the solution quality, which is about 70% better, and computational time, which is about 90% less. Copyright © 2016 Inderscience Enterprises Ltd.

关键词： Design of experiments

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PV Microgeneration Perspective in Brazil: Approaching Interconnection Procedures and Equipment Certification

PV Microgeneration Perspective in Brazil: Approaching Interc...

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IEEE Green Technologies Conference (IEEE-Green)

作者： A.M.S. Alonso F.P. Marafão F.A.S. Gonçalves H.K.M. Paredes A.C.G. Martins D.I. Brandao Group of Automation and Integrated Systems São Paulo State University (Unesp) Sorocaba Brazil Graduate Program in Electrical Engineering Federal University of Minas Gerais Belo Horizonte Brazil

Considering that distributed microgeneration systems are one of the most prominent trends in adding flexibility to the Brazilian energy matrix, regulation and certification standards become key players on providing well established interconnection procedures to the electrical power system, without degrading power quality and offering fair services to all institutions. Thus, this paper presents relevant information regarding to how the local interconnection procedures occur, as well as it presents different considerations on certification requirements for grid-tied inverters and PV modules available on the Brazilian market. Moreover, an overview of current constraints is raised, based on the comparison with other worldwide known standards and conditions for distributed energy systems.

关键词： Inverters Certification Biological system modeling IEC Standards Power generation Power quality

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A stochastic method for characterization of soft magnetic material with a damped LC circuit 17

A stochastic method for characterization of soft magnetic ma...

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17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016

作者： Eckert, Paulo R. Righi, Luiz A. Filho, Aly F. Flores Kanieski, Joao M. Federal University of Rio Grande do Sul Post-Graduate Program in Electrical Engineering RS Brazil Federal University of Santa Maria Department of Electromechanical and Power Systems RS Brazil

ISBN: (纸本)9781509010325

This paper presents a method to determine hysteresis parameters of an inductor's core with a closed magnetic circuit based on electric current and voltage curves of a damped LC circuit. The proposed procedure makes use of the concept of hysteresis modeling by separating the magnetic field into four components, which can be linearized in terms of its parameters. Thus, curves can be adjusted with a stochastic method in order to match experimental ones, allowing for determination of hysteresis parameters. © 2016 IEEE.

关键词： Hysteresis

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Heuristic methodology for horizontal multilayer soil stratification 16

Heuristic methodology for horizontal multilayer soil stratif...

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16th International Conference on Environment and Electrical engineering, EEEIC 2016

作者： Oliveira, Diogo N. Silva, Carlos L.B. Calixto, Wesley P. Alves, Aylton J. Gomes, Viviane Domingos, Jose Luis Graduate Program in Electronic and Automation Systems Engineering University of Brasilia Brasilia Brazil Experimental Technological Research and Study Group Federal Institute of Education Science and Technology Goiania Brazil

ISBN: (纸本)9781509023196

Soil Stratification methods are used to estimate soil geoelectrical parameters. Several stratification methods are available, but reducing the error estimation introduced by such methods still poses as a challenge. The purpose of this work is to present a heuristic algorithm applied to the optimization of geoelectrical prospection process. The goal is to estimate soil parameters, such as the amount of layers, thickness and resistivity of each layer in an optimal and automated manner. The algorithm consists of analyzing the sensitivity of sampling space parameters. The propose methodology shows error reduction above 75% between the experimental and theoretical curves of the analyzed soils. The results are presented and discussed. © 2016 IEEE.

关键词： Heuristic algorithms

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Resolution of one-dimensional bin packing problems using augmented neural networks and minimum bin slack

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International Journal of Innovative Computing and Applications 2016年第4期7卷 214-224页

作者： de Almeida, Ricardo Steiner, Maria Teresinha Arns Industrial and Systems Engineering Post-Graduate Program Pontifical Catholic University of Paraná - PUCPR Curitiba Brazil

关键词： Design of experiments

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Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resources

Multiobjective approach for power flow and unbalance control...

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Brazilian Power Electronics Conference, COBEP

作者： W. M. Ferreira D. I. Brandao F. G. Guimarães E. Tedeschi F. P. Marafão Graduate Program in Electrical Engineering Federal University of Minas Gerais Belo Horizonte MG Brazil Federal Institute of Education Science and Technology of Minas Gerais Ipatinga MG Brazil Department of Electric Power Engineering Norwegian University of Science and Technology Trondheim Norway Group of Automation and Integrated Systems Universidade Estadual Paulista Sorocaba SP Brazil

This paper proposes a multiobjective optimization technique that maximizes the active power generation from single-phase distributed generators, and minimizes the unbalance factor at the point of common coupling of the network. Such technique is incorporated into a centralized control strategy for optimal power flow control purpose. The centralized control strategy used herein is the Power-Based Control that coordinates the distributed units to contribute to the network's active and reactive power needs, per phase, in proportion of their power capacity. The simulation results of a simplified network with three single-phase distributed generators validate the proposal in terms of power flow control, voltage regulation and power quality.

关键词： Reactive power Optimization Power generation Genetic algorithms Load flow Voltage control Decision making

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Computation of resistance and potential of grounding grids in any geometry 16

Computation of resistance and potential of grounding grids i...

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16th International Conference on Environment and Electrical engineering, EEEIC 2016

作者： Pires, Thyago G. Nerys, Jose W. L. Silva, Carlos L. B. Oliveira, Diogo N. Filho, Antonio M. Silva Calixto, Wesley P. Alves, Aylton J. School of Electric and Computing Engineering Federal University of Goias Goiania Brazil Graduate Program in Electronic and Automation Systems Engineering University of Brasilia Brasilia Brazil Experimental and Technologic Research and Study Group Federal Institute of Education Science and Technology Goiania Brazil

ISBN: (纸本)9781509023196

This paper deals with the computation of ground resistance, surface voltage, touch voltage and step voltage, to mesh with horizontal wires arranged in different angles. The computer program implemented used in the mathematical modeling is based on the method proposed by Heppe, which allows obtaining the grounding parameters for homogeneous soil and soil stratified in two layers. The results obtained with the proposed method will be compared with other methods in literature. Also will be presented the results of a grounding grid using wires at various angles. © 2016 IEEE.

关键词： Mesh generation

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Optimization of grounding grid's multidesign geometry 16

Optimization of grounding grid's multidesign geometry

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16th International Conference on Environment and Electrical engineering, EEEIC 2016

作者： Silva, Carlos L. B. Oliveira, Diogo N. Pires, Thyago G. Nerys, Jose W. L. Barbosa, Paulo H. S. Calixto, Wesley P. Alves, Aylton J. Graduate Program in Electronic and Automation Systems Engineering University of Brasilia Brasilia Brazil School of Electric and Computing Engineering Federal University of Goias Goiania Brazil Experimental Technologic Research and Study Group Federal Institute of Education Science and Technology Goiania Brazil

ISBN: (纸本)9781509023196

This paper deals with the optimization of grounding grids geometry. The goal is to reduce the amount of material to deploy a grounding grid, while keeping the system security. The touch voltages, step voltages, GPR and ground resistance are parameters of grounding grids and are related to safety aspect. Also discussed is a genetic algorithm used for optimizing ground grids, which can assume any form in a limited space of the project. The simulation is based in images method. The results are presented and discussed. © 2016 IEEE.

关键词： Ground penetrating radar systems

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Biological responses of fibroblasts and osteoblasts on modified bioactive titanium implant surfaces

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Clinical Oral Implants Research 2018年第S17期29卷

作者： Beatriz Ferreira Mariana Cruz Gabriella Peñarrieta-Juanito Joana Marques Filipe Silva João Caramês Júlio Souza Ricardo Magini Mafalda Costa Georgina Miranda António Mata Faculty of Dental Medicine Universidade de Lisboa Portugal Center for Research on Dental Implants Post-graduate program in dentistry (PPGO) School of Dentistry Federal University of Santa Catarina (UFSC) Brazil Oral Biology and Biochemistry Research Group LIBPhys Faculty of Dental Medicine University of Lisbon Portugal Center for Microelectromechanical Systems (CMEMS) Dept. of Mechanical Engineering University of Minho Portugal Bone Physiology Research Group LIBPhys Faculty of Dental Medicine University of Lisbon Portugal Center for Research on Dental Implants Post-graduate program in dentistry (PPGO) School of Dentistry Federal University of Santa Catarina (UFSC) Portugal

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