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13th IEEE Brazilian Power Electronics Conference and 1st Southern Power Electronics Conference, COBEP/SPEC 2016

作者： Bueno, Diego A. Acevedo Leal Da Silva, Juliano C. Da Silva, Edison Roberto C. Andrade, Abinadabe Silva Dias, Tulio Albuquerque Post-graduate Program in Electrical Engineering - PPgEE/COPELE Federal University of Campina Grande Campina Grande PB Brazil Federal University of Campina Grade/LEIAM COPELE Campina Grande PB Brazil Federal University of paraíba/GEPAME CPGEE João Pessoa PB Brazil

ISBN: (纸本)9781479987795

This paper proposes two seven level asymmetric inverter with coupled inductors that enable a reduction in the number of controlled switching devices. However, the lack of redundant states and difference in the maximum pole voltages reduce the performance of the inverters due to higher winding currents and saturation of magnetic core. For mitigating those issues, a coupled inductor with elevated magnetizing inductance is used. The operation principle, conducting states and modulation strategy are described. Simulation and experimental results demonstrate the feasibility of proposed topology. © 2015 IEEE.

关键词： Pulse width modulation

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Seven level asymmetric inverters with coupled inductors

Seven level asymmetric inverters with coupled inductors

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Brazilian Power Electronics Conference, COBEP

作者： Diego A. Acevedo Bueno Juliano C. Leal da Silva Edison Roberto C. da Silva Abinadabe Silva Andrade Tulio Albuquerque Dias Post-graduate Program in Electrical Engineering - PPgEE/COPELE Universidade Federal de Campina Grande Campina Grande PB BR Post-graduate Program in Electrical Engineering - PPgEE/COPELE Federal University of Campina Grande Campina Grande PB Brazil COPELE Federal University of Campina Grade/LETAM Campina Grande PB Brazil

关键词： Topology Inductors Switches Windings Inductance Modulation Capacitors

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A NOVEL APPROACH FOR HOME APPLIANCES IDENTIFICATION USING VECTOR PROJECTION LENGTH AND STOCKWELL TRANSFORM

A NOVEL APPROACH FOR HOME APPLIANCES IDENTIFICATION USING VE...

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Brazilian Power Electronics Conference

作者： Vinicius P. Borin Carlos H. Barriquello Mario L. da Silva Martins Alexandre Campos GEDRE Research Group - Electrical Engineering Post Graduation Program (PPGEE) Federal University of Santa Maria (UFSM)

ISBN: (纸本)9781479987801

Identification of residential electrical appliances has been a highlight area of research in recent years due to increasing energy consumption in the residential sector around the world. This paper addressed a novel method for recognition of electrical appliances. Thus, it is proposed to apply the Stockwell Transform, a time-frequency domain transform, into current data collected from 17 commonly present electrical appliances in our houses. With these data, we applied an image pattern recognition technique, called Vector Projection Length. In this case, the idea is to recognize patterns in the appliances transformed into time-frequency domain. An extensive analysis technique simulation is presented here, showing the variation of the technical parameters and their influence on the results of identification.

关键词： Digital Image Processing Intelligent Systems Load Identification S-Transform Vector Projection Length

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Voice pathology assessment using wavelet based on texture analysis of recurrence plots

Voice pathology assessment using wavelet based on texture an...

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International Workshop on Telecommunications, IWT 2015

作者： Souza, Taciana A. Souza, Micael A. Costa, Silvana C. Costa, Washington C. De A. Correia, Suzete E. N. Vieira, Vinicius J. D. Academic Unity of Industry - IFPB Av. Primeiro de Maio 720 Jaguaribe João Pessoa - PBCEP: 58015-430 Brazil Electrical Engineering Post-graduation Program - UFCG Rua AprigioVeloso 882 Bairro Universitário Campina Grande - PBCEP: 58429-900 Brazil

ISBN: (纸本)9781467376228

This work proposes an efficient texture classification strategy performed in the wavelet domain in order to characterize healthy and pathological speech signals from recurrence plots (RP). The two-dimensional wavelet transform is applied to the recurrence plots at one resolution level. Thirteen Haralick texture features are obtained from each approximation and detail subband coefficients. In classification, multilayer perceptron (MLP) neural networks with cross validation are employed. Classification accuracy is improved and the number of features is reduced by particle swarm optimization (PSO). Results suggest that this method may be useful for pathological voice discrimination. © 2015 IEEE.

关键词： Wavelet transforms

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Universal active power filters based on nine-leg converter

Universal active power filters based on nine-leg converter

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IEEE Energy Conversion Congress and Exposition

作者： P. L. S. Rodrigues C. B. Jacobina G. A. d. A. Carlos Post-Graduate Program in Electrical Engineering - PPgEE - Copele Department of Electrical Engineering Federal University of Campina Grande (UFCG) Paraiba Brazil Universidade Federal de Campina Grande Campina Grande PB BR

This paper proposed two universal active power filter (UAPF) topologies for reactive power and harmonic compensation. The proposed system is a combination of series and shunt active power filters. They are suitable to improve the harmonic distortion in the grid currents and a voltage compensation. The filters are composed of three three-phase converters resulting in nine legs. The first (configuration I) can operate with floating dc-link capacitor or an auxiliary DC source on the series filter and the second one (configuration II) uses a combination of two series filters and one shunt filter sharing a single dc-link. The complete control system, including the PWM techniques, is developed and a comparison between the configurations is done. Simulation and experimental results are shown for validation purposes.

关键词： Pulse width modulation Voltage control Capacitors Harmonic analysis Power harmonic filters Control systems

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Traditional TCP congestion control algorithms evaluation in wired-cum-wireless networks

Traditional TCP congestion control algorithms evaluation in ...

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： M. C. Dias L. A. Caldeira A. Perkusich Post-graduate Program in Electrical Engineering - PpgEE - COPELE Federal University of Campina Grande - UFCG Campina Grande Brazil Electrical Engineering Coordination Federal Institute of Education Science and Technology of Paraíba - IFPB João Pessoa Brazil

Congestion control algorithms exist for decades to prevent package loss in intense traffic networks. Several solutions developed over the years tried to solve this problem, including the creation of new algorithms. However, hybrid wired and wireless networks, or wired-cum-wireless, common in modern days, bring new challenges to programmers and engineers who try to overcome the numerous new problems that this kind of network presents. This work carries out a performance comparison, in a wired-cum-wireless network, using TCP congestion control algorithms variants: New Reno and CUBIC. The comparison is to determine which of those algorithms performs better in several situations, like multiple disconnections caused by mobility, interference and congested links. The results showed that the CUBIC is a more stable and fair algorithm, but it has a significantly less data flow than New Reno.

关键词： Standards Interference Receivers Mobile handsets Transmitters Wireless communication Algorithm design and analysis

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An automatic voltage disturbance classification system based on Clonal Selection Algorithm

An automatic voltage disturbance classification system based...

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IEEE Instrumentation and Measurement Technology Conference

作者： Bruno Willian de Souza Arruda Raimundo Carlos Silvério Freire Cleonilson Protásio de Souza Post-Graduate Program in Electrical Engineering - PPgEE - COPELE Federal University of Campina Grande - UFCG Campina Grande Paraíba Brazil Department of Electrical Engineering Federal University of Paraíba João Pessoa Paraíba Brazil

ISBN: (纸本)9781479961153

Classification of voltage disturbances in power systems is essential for modern society and can be very demanding according to the used method or the aimed accuracy. This paper presents a new intelligent approach aimed to automatically analyse power quality disturbances including sag, swell, outage, harmonics and normal waveform. The approach is based on Artificial Immune System and focuses on the application of a Clonal Selection Algorithm to extract features from disturbance waveforms and classify the disturbances in each 0.5 cycle of the fundamental frequency. Other important feature of the proposed approach is that it can be embedded since the resulted on-line classification tool achieves very low computational complexity. Comparisons and experimental results obtained from the application of the proposed method validate the approach and achieved a classification accuracy at least better than previous work.

关键词： Histograms Immune system Power quality Harmonic analysis Cloning Adaptive systems Computational complexity

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Performance of Cognitive Spectrum Sensing Based on Energy Detector in Fading Channels

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Procedia Computer Science 2015年 65卷 140-147页

作者： Fabrício B.S. de Carvalho Waslon T.A. Lopes Marcelo S. Alencar Post-Graduate Program in Electrical Engineering – PPgEE – COPELE Federal University of Campina Grande Department of Electrical Engineering Campina Grande-PB 58429-900 Brazil Federal University of Paraíba Department of Electrical Engineering João Pessoa-PB 58051-970 PO BOX 5115 Brazil Institute of Advanced Studies in Communications (Iecom) Campina Grande-PB 58109-970 Brazil

Spectrum scarcity and the inefficient use of the electromagnetic spectrum motivated the development of Cognitive Radio (CR), which aims to extend the spectral efficiency, with opportunistic access to the available frequency bands. Energy Detection (ED) is the most adopted spectrum sensing technique for cognitive radio applications due to its simplicity. However, fading effects are usually simplified or discarded when evaluating the energy detector performance in spectrum sensing. This paper presents the performance evaluation of cognitive spectrum sensing, based on energy detector, for fading channels. The objective is to analyze how the use of various fading models affect the spectral detection in cognitive networks. Rayleigh, Rice, Nakagami-m and Lognormal fading channels are considered, and the results favor the use of ED when the channel is subject to Lognormal fading.

关键词： Cognitive Radio Spectrum Sensing Energy Detector Fading Channels

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Hybrid multilevel inverter system for Open-End Winding (OEW) induction motor drive based on Double-Star Chopper-Cells (DSCC) converter

Hybrid multilevel inverter system for Open-End Winding (OEW)...

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Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)

作者： Italo Roger F. M. P. da Silva Cursino B. Jacobina Alexandre C. Oliveira Gregory A. de Almeida Carlos Maurício B. de R. Corrîa Post-graduate Program in Electrical Engineering PPgEE/COPELE Department of Electrical Engineering (DEE) Federal University of Campina Grande (UFCG) Campina Grande PB Brazil Department of Control and Industrial Process Federal Institute of Alagoas (IFAL) Palmeira dos Indios AL Brazil

ISBN: (纸本)9781479967360

This paper proposes a hybrid multilevel topology for Open-End stator Winding (OEW) induction motor drive based on Modular Multilevel Cascade Inverter (MMCI) with Double-Star Chopper-Cells (DSCC) and 2-Level Voltage Source Inverter (2L-VSI). An efficient Voltage Reference Technique is proposed to generate the pole voltages of both inverters. As a result, the DSCC inverter is commanded in high-switching frequency, while the 2L-VSI operates at the fundamental frequency. A voltage-balancing control of the floating DC capacitors of the DSCC is presented to ensure the energy balance. At last, to investigate the proposed system and control strategy, experimental results are presented.

关键词： Voltage control Inverters Induction motors Topology Capacitors Inductors Logic gates

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Parallel genetic algorithm with social interaction for solving constrained global optimization problems

Parallel genetic algorithm with social interaction for solvi...

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International Conference of Soft Computing and Pattern Recognition (SOCPAR)

作者： Rodrigo Lisbôa Edson Koiti Yasojima Rodrigo M. S. de Oliveira Marco A. Florenzano Mollinetti Otávio Noura Teixeira Roberto C. Limão de Oliveira Pereira Electrical Engineering Post Graduation Program Federal University of Pará (UFPA) Belém Pará Brazil Systems Optimization Laboratory Tsukuba University Tsukuba Ibaraki Japan Electrical Engineering Post Graduation Program Federal University of Pará (UFPA) Belém Pará Brazil Laboratory of Electromagnetics (LeMag) Federal University of Pará (UFPA) Belém Pará Brazil Laboratory of Bionspired Computing (LCBIO) Federal University of Pará (UFPA) Belém Brazil Pará

The following paper introduces a parallel approach to a social variant of the Genetic Algorithm, called Parallel Genetic Algorithm with Social Interaction (PSIGA). The algorithm is based on social games involving game theory, and it is implemented using the OpenMP API, which is based on the shared memory programming model for multiple processor architectures. The main contribution of this approach is the parallelization using the Shared Memory of the Social Interaction Genetic Algorithm (SIGA) in order to achieve faster and better optimality than its nonparallel counterpart for global optimization problems with restrictions. For means of performance assessment, the algorithm is tested on four instances of engineering design problems and the obtained results compared with the Genetic Algorithm with Social Interaction (SIGA) implemented in sequential programming model.

关键词： Genetic algorithms Sociology Statistics Optimization Games Game theory Instruction sets

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