DOI 10.14209/sbrt.2017.105
Monacér E. da Silva, Vinı́cius A. Oliveira, Kenji Nose-Filho, Levy Boccato, João M. T. Romano
The problem of seismic deconvolution, based on the
sparse hypothesis of the reflection profile, requires the optimiza-
tion of a non-linear and multimodal function. In this work, we
investigate the use of different evolutionary algorithms to perform
the search of deconvolution filter parameters that minimize a
normalized pseudo-Huber function, which...
Seismic deconvolutionSparse deconvolutionEvo- lutionary algorithms
DOI 10.14209/sbrt.2017.109
João P. J. V. da Silva, Renato M. de Moraes
Establishing the warm-up period is a recurrent
problem in discrete event simulation. The MSER-5 method for
transient detection is consolidated and one of most cited work in
the literature due to its simplicity and interesting results. This
work suggests adaptations in the method to achieve better error
rates and execution times. These suggestions...
Discrete event simulationM/M/1 queueRWPwarm-up period
DOI 10.14209/sbrt.2017.111
Monira A. Gonçalves, Rafael V. Louredo, Michel P. Tcheou, Lisandro Lovisolo
Neste trabalho, apresenta-se um projeto de modem acústico que transmite dados utilizando modulação multiportadora através do ar livre. A escolha deste tipo de modulação em detrimento da modulação
monoportadora se deve a necessidade de um uso mais eficiente da largura de banda limitada, e a minimização dos efeitos de multipercurso e desvanecimento...
Modem AcústicoOFDMEstimação de Canal
DOI 10.14209/sbrt.2017.110
A. A. Ohashi, G. S. Borges, R. M. Rodrigues, A. L. P. Fernandes, J. C. W. A. Costa
The fronthaul of the future 5G networks is expected to be the bottleneck for coping with the increasing data traffic
demand. Despite optical fiber is the preferred alternative for
fronthaul, technologies like phantom mode has boosted the data
rates over copper lines. Previous works have investigated the
application of phantom mode and its interaction...
Fronthaulnon-uniformitiesphantom modetwisted pairs
DOI 10.14209/sbrt.2017.270
Maria de F. K. B. Couras, Pablo H. U. de Pinho, Silvana L. do N. C. Costa, Suzete E. N. Correia
Neste trabalho, são empregadas técnicas de
processamento digital de sinais, baseadas no modelo linear de
produção da fala, para analisar a qualidade vocal. É avaliado o
potencial discriminativo dos parâmetros obtidos da análise de
predição linear (Linear Predictive Coding - LPC) - coeficientes
LPC, coeficientes cepstrais e mel-cepstrais na...
Modelo Linear de Produção da FalaDesvios vocaisQuantização Vetorial
DOI 10.14209/sbrt.2017.112
R.C. Castro, M. M. da Silva, R. Y. Inamasu
Technological advances have been successfully
achieved in precision agriculture using autonomous agricultural
vehicles. Among these advances, the increase of efficiency and
productivity in field operations can be highlighted. Several
autonomous driving systems are implemented using the GPS
RTK system, which allows operations to centrimetric...
Computational visionImage processingRTK GPS NavigationSmart vehiclesPrecision agriculture
DOI 10.14209/sbrt.2017.113
Victor S. Braz, Ana Claudia S. Souza, Leonardo C. Araújo, Gustavo F. Rodrigues
A decomposição em funções de modo intrínseco e parte da transformada de Hilbert-Huang e nos permite a identificação de parâmetros inerentes ao sinal. Analisaremos esta decomposição que, juntamente com a transformada de Hilbert, possui grande aplicabilidade na analise de sinais neurais relacionados ao reconhecimento de padrões, tais como o sinal evocado P300.
decomposição em modo empíricotransformada Hilbert-Huangidentificação de parâmetros
DOI 10.14209/sbrt.2017.114
Fernanda de Souza Ferreira, Tiago Fernandes Tavares
Isolated Word Recognition (IWR) can be used
in different applications, including home automation and car
device control. These applications often take place in reverberant
environments. Reverberation causes spectral distortion, harming IWR performance. We propose a multi-condition training
method that uses both reverberant and non-reverberant...
Isolated Word RecognitionReverberationMultiCondition Training
DOI 10.14209/sbrt.2017.115
Vitor Hugo Galhardo Moia, Marco Aurelio A. Henriques
Known File Filtering method separates relevant
from non-relevant information in forensics investigations using
white or black lists. Due to limitations on hash functions (inability
to detect similar data), approximate matching tools have gained
focus recently. However, comparing two sets of approximate
matching digests using brute force can be too...
Digital forensicsApproximate matchingsimilarity hashsimilarity searchsdhashssdeep
DOI 10.14209/sbrt.2017.119
R. C. dos Santos, K. Q. da Costa, J. S. Costa, A. F. S. da Cruz
This paper presents a numerical analysis of an
array of gold nanoparticles in a Surface Plasmon Resonance
sensor (SPR) in Kretschmann configuration. This is a study for a
sensor response in function of the distance nanoparticles for two
adjusts in its multilayer structure for the influence analysis in the
sensibility, where we have checked the...
SPR sensorKretschmann ConfigurationGold NanoparticlesFinite Elements MethodPlasmonic