DOI 10.14209/sbrt.2017.211
Clarice Dias de Albuquerque, Reginaldo Palazzo Junior
Neste artigo apresentamos as construções de três classes de códigos coloridos em superfícies compactas com
gênero g ≥ 2. Tais classes derivam das tesselações hiperbólicas,
{8, 3}, {10, 3} e {12, 3} e possuem taxas de codificação assintoticamente iguais a 1/4,
2/5 e 1/2, respectivamente. Além disso, a distância mínima dos códigos cresce com o gênero da...
Códigos ColoridosCódigos de SuperfícieTesselações HiperbólicasCódigos Quânticos
DOI 10.14209/sbrt.2017.212
Lucas Freitas Ximenes, Antônio Alan Rodrigues de Araújo, Ismael Araújo Ramos, Edmar Miranda Ávila Júnior, Múcio Costa Campos Filho, Guilherme Francisco de Morais Pires Júnior
With the recent advances of the telecommunications industry, it is becoming increasingly necessary to develop materials that have high values of dielectric constant, low dielectric loss and good thermal stability. This paper presents the development and characterization of ceramics CaBi4T i4O15
(CBT), material known for its excellent dielectric...
CaBi4T i4O15X-Ray DiffractionMicrowaveRadiofrequencySintering
DOI 10.14209/sbrt.2017.213
Luisa Fernanda Suárez Uribe, Carlos Alberto Stefano Filho, Vanessa Brischi Olivatto, Levy Boccato, Gabriela Castellano, Romis Attux, Vinícius Alves de Oliveira, Diogo Coutinho Soriano
This work presents a comparative analysis of correlation and correntropy in the context of graph-based braincomputer interfaces using motor imagery. These two statistical
entities are used in the construction of the graphs, from which
features are extracted. The results indicate that correntropy
has a more consistent performance over the different...
Brain-computer interfacesinformation-theoretic learningcorrentropygraph measuresmotor imagery
DOI 10.14209/sbrt.2017.214
A. W. M. Pinto, F. E. M. Borges, D. A. Pereira, B. H. G. Barbosa, R. R. Magalhães, D. D. Ferreira, T. S.
Barbosa
Neste artigo é proposto um método de detecção
de falhas ou danos estruturais usando Estatística de Ordem
Superior (EOS). A partir de sinais de vibração medidos por
um acelerômetro, características são extraídas por cumulantes
e selecionadas com o Discriminante de Fischer.
Posteriormente é realizada a classificação com o auxílio de
Máquinas de...
Análise de VibraçõesReconhecimento de PadrõesMonitoramento da Saúde EstruturalEOS
DOI 10.14209/sbrt.2017.215
Gustavo Baracat, José Marcos Camara Brito
Narrowband Internet of Things (NB-IoT) is a
cellular technology that will provide connection for a massive
number of low-cost and low-power devices. This paper
describes the analysis of delay bounds for the NB-IoT,
calculating minimum delay and maximum delay in the random
access procedure, aiming at the best solution in the
configuration of...
NB-IoTRandom AccessNPRACHparametersdelay
DOI 10.14209/sbrt.2017.209
Wagner Wispel, Renato Machado, Andrei P. Legg, Fábio M. Bayer
Sistemas de scanning tridimensional (3D) são utilizados em um grande número de aplicações, tais como na
digitalização de quadros, esculturas e patrimônios culturais, engenharia reversa e computação gráfica. A maioria dos scanners 3D
disponíveis no mercado são projetados para uma alta resolução
e precisão. Isso requer o uso de equipamentos...
Triangulação a laserscanning 3Dcalibração
DOI 10.14209/sbrt.2017.150
Joao Paulo Lemos Escola, Rodrigo Capobianco Guido, Ivan Nunes da Silva, Alexandre Moraes Cardoso, Douglas ˜
Henrique Bottura Maccagnan, Artur Kenzo Dezotti, Igor de Moraes Sampaio, Lucas Exposto Soares
The cicada is one of the key crop pests and the only
way to combat application of insecticides. However, the sounds
emitted by the male, in order to attract females, are peculiar
and can be employed for digital detection and classification of
species. This work presents an algorithm of signal processing and
recognition of patterns to detect and...
CicadidaeWaveletsSuport Vector Machine
DOI 10.14209/sbrt.2017.193
Tito Caco Curimbaba Spadini, Ricardo Suyama
This work aims to investigate different techniques
for the classification of atypical sound events, considering the
accuracy and classification time, in order to find which of these
techniques are most advantageous for surveillance scenarios,
minimizing the possibility of relevant events to go unnoticed.
LDA, QDA, Decision Tree and KNN techniques...
Digital Signal ProcessingDigital Audio ProcessingMachine LearningPattern RecognitionSurveillance System
DOI 10.14209/sbrt.2017.216
Renan D. B. Brotto, Joao M. T. Romano
This paper presents the results of a study in sepa-
ration of convolutive mixtures by means of linear and nonlinear
decorrelation. These techniques have also been applied to the
problem of channel deconvolution, exploring the duality between
these two fields.
Unsupervised signal processingConvolutive mix- turesDeconvolution. I. IN
DOI 10.14209/sbrt.2017.217
Jorge Pedraza Arpasi
In this work we study group codes over non-Abelian
groups which are extensions. Extension of groups is a general-
ization of semi-direct product and direct product of groups. For
channels having as its input alphabet a signal set, one-to-one
matched to a non-Abelian group which is an extension, is given a
definition of encoding capacity adapted from...
Symmetric channelsnon-Abelian group codesEn- coding capacity