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SBrT2017 · 2017

XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais

270 artigos · página 11 de 27
DOI 10.14209/sbrt.2017.83

Multi-frequency Microstrip Antenna Using Defected Ground Structures With Band-Notched Characteristics

Humberto C. C. Fernandes, José L. da Silva, Almir Souza, S. Neto
This paper presents a design of multi-frequency microstrip antenna using defected ground structure (DGS), etched structure on the ground plane, for C band and X band operations, with band-notched characteristics. Rogers RT/ DUROID 3006 substrate is used with dielectric constant 6.15 and loss tangent 0.0025. The proposed antenna resonates at 4.4...
Defected Ground Structuresband-notched characteristicsmulti-frequency
DOI 10.14209/sbrt.2017.23

Estratégias de Transmissão para uma Rede com Canal Retransmissor Multidirecional

Marcio Henrique Doniak, Richard Demo Souza, Bartolomeu F. Uchôa-Filho
A multiway relay channel (mRC) which is widely employed in the literature is extended to represent a larger num- ber of practical scenarios, such as a vehicular network (VANET). For the proposed system, g-mRC, three transmission strategies are presented and analyzed in terms of maximum effective rate, for different numbers of users. Numerical...
Multiway relay channelEffective RateVANET
DOI 10.14209/sbrt.2017.38

Localizando ponto de impacto de projétil Alto Explosivo (AE), empregando arranjo de microfones

Felipe Gonçalves Serrenho, Juliano Garcia do Carmo Ribeiro, José A. Apolinário Jr
This work presents a way to determine the im- pact position of a high-explosive projectile using microphone arrays. Three distinct arrays are placed in equally spaced and fixed positions. After signals acquisition, the Generalized Cross- Correlation Algorithm is applied to obtain the cross-correlation peak in order to estimate the time-difference of...
Direction of arrivalmicrophone arraytarget localization
DOI 10.14209/sbrt.2017.24

Transfer Entropy Characterization of TBI Cases

Milena M. Arruda, Luciana R. Veloso, Francisco M. de Assis
Traumatic brain injury (TBI) is an important public health problem worldwide. This paper introduces transfer entropy as a measure to identify any standard between arterial blood pressure and electrocardiogram signal for patients diagnosed with TBI. Therefore, we will review the basic definitions of information theory and transfer entropy,...
Arterial blood pressuretransfer entropytraumatic brain injuryelectrocardiogram
DOI 10.14209/sbrt.2017.102

O Impacto do Ataque Hello no Protocolo de Roteamento RPL

Estefania Pianoski, Jeferson Cotrim, João Henrique Kleinschmidt
A Internet das Coisas (IoT) tem atraído a atenção nos últimos anos, tanto da área acadêmica quanto do mundo dos negócios. Por em para o funcionamento da IoT foi necessário o desenvolvimento de novos protocolos, dentre eles o protocolo de roteamento RPL. Este protocolo atende as demandas das redes de baixa potencia e com perdas, sendo também, até o...
Internet das CoisasRPLAtaque HelloSegurança da Informação.
DOI 10.14209/sbrt.2017.36

Redução de profundidade de lógica de hardware para codificação de LDPC

Alexandre Felipe, André L.N. Souza
Low-density Parity-check codes constructed for co- ding with linear computational complexity normally generate encoder hardware with high logical depth. This work indicates strategies to manipulate a triangular equation system in order to reduce the non-parallelizable stages, and consequently lower enconding latency, allowing faster bit rates.
Low-density parity-check codesLDPCLatencyEncoding
DOI 10.14209/sbrt.2017.103

Máquinas de Aprendizado Extremo para Classificação Online de Eventos no detector ATLAS

Marton S. dos Santos, Edmar E. P. de Souza, Eduardo F. Simas Filho, Paulo C. M. A. Farias, Werner S. Freund, José M. de Seixas
ATLAS is one of the LHC (Large Hadron Collider) detectors, and is located at the European Organization for Nuclear Research (CERN). For proper characterization of the particles an accurate measurement of the energy deposition profile is required as interactions with the detector occur. In ATLAS, the calorimeters are responsible for estimating...
ELMNeural NetworkSignal ProcessingATLAS detector
DOI 10.14209/sbrt.2017.39

Classificação de Vagas de Estacionamento usando Aprendizagem de Máquina

Gabriel Rosa e Silva, Walter Antonio Gontijo
In this paper we present contributions to the classification of parking spaces monitored by video cameras, using machine learning with classification by Support Vector Machine. The contributions include the usage of a Radial Basis Function kernel and of a threshold in the decision region. Such contributions lead to better classification accuracy...
Machine learningSVMRBFembedded systems
DOI 10.14209/sbrt.2017.104

Generation of Optimal Almost Blank Frames using Genetic Algorithm

Kadmo T. H. L. Ponte, Yuri Victor L. de Melo, Tarcisio F. Maciel
The interference suffered by users at the CRE area of pico cells is one of the main factors that affects performance of a HetNet. In order to assist pico downlink transmissions, the Macro-eNB can mute all downlink transmissions to its users in certain subframes termed ABS. In this paper, we propose a genetic algorithm to find optimal ABS pattern...
HetNeteICICABSGA
DOI 10.14209/sbrt.2017.40

A New Approach for Electrooculogram Recognition Algorithms

Andrei Borges La Rosa, Virgı́nia Bordignon, Carla Diniz Lopes Becker, Sergio Jose Melo de Almeida
In this work we analyze electrooculogram (EOG) signals’ properties, and propose two recognition algorithms for translating signal patterns into actual eye movements. The ob- jective is to provide a reliable and low cost classification method for Human Machine Interface (HMI) applications. An EOG signal database is generated through an acquisition...
EletrooculogramHuman machine interfacePat- tern recognitionDiscrete Wavelet Transform