DOI 10.14209/sbrt.2021.1570724056
Pedro H. A. Trindade, Leonardo Aguayo, Alexander M. Wyglinski, Renato Iida
This paper introduces a novel algorithm modification for the conventional game theory-based time slot assignment method applied to the Digital Video Broadcast Return Channel via Satellite (DVB-RCS) system. The procedure considers the spectral efficiency as a weighting parameter for the resulting convex optimization problem of the Nash Bargaining...
DVB-RCS2Satellite CommunicationsGame TheoryMF-TDMA Optimization
DOI 10.14209/sbrt.2021.1570724130
Lucas Vasconcelos de Morais, Leonardo Menezes, Pedro Moraes
This paper proposes a case study for estimating rain attenuation from rainfall data collected in Brasilia, Brazil at THz frequencies using Mie Theory and Drop Size Distribution (DSD). To address this goal, we used measured rainfall rate data from the past 19 years collected at the National Institute of Meteorology (INMET). A statistical approach...
Drop Size DistributionTerahertzMie TheoryWeibull
DOI 10.14209/sbrt.2021.1570724136
Raphael Medeiros, Felipe Ximenes, Aurelio Melo, Jose Antonio Fontes de C. Ribeiro Rodrigues, João T Dias, Luciana Faletti, Milena Pinto
The solar power generation is increasing rapidly around the world. These systems are often installed on roofstops and other structures that are difficult to access. Despite this difficulty, regular inspection of the system is a requirement to ensure efficiency. As a result, a challenge arise to develop efficient and low-cost inspection methods to monitor...
UAVImage ProcessingPhotovoltaic CellsMachine Learning
DOI 10.14209/sbrt.2021.1570724141
Emily L Ferreira, Danilo Sousa Rocha, Glendo de Freitas Guimarães
Optical devices have been widely used in telecommunication, information transmission and sensing systems. Among these devices, we have the optical coupler, responsible for dividing the light beams and switching the optical signals. The present work aims to propose a new modeling of optical signals for triple-core couplers, by introducing a transfer...
Tensor modelsOptical device modelingTriple-core optical coupler
DOI 10.14209/sbrt.2021.1570724145
Rafael Augusto Pedriali, Plinio Santini Dester
O objetivo desse trabalho é clusterizar as empresas de capital aberto da bolsa de valores brasileira utilizando uma abordagem fundamentalista, sem envolver o preço das ações na análise, apenas os fundamentos de cada empresa, e.g., indicadores que relacionam as métricas dívida, receita, lucro, fluxo de caixa, patrimônio líquido e ativos de cada...
clusterizaçãomachine learningBovespaanálise fundamentalista
DOI 10.14209/sbrt.2021.1570724159
Daniel Nicolalde Rodríguez, Wallace A. Martins, José Antonio Apolinário Jr., Luiz Caloba
This work addresses the passive coherent location of a target in a scenario with a single transmitter and several receivers. Firstly, a feedforward neural network estimates the target location based on the time differences of arrival among the target-reflected signals acquired by the receivers, whose positions are fixed and known. In a second case, the...
Localização coerente passivapassive coherent locationrede neural feedforwardradar passivo
DOI 10.14209/sbrt.2021.1570724164
Rogério P Junior, Carlos Aurélio Faria da Rocha, Bruno Chang, Didier Le Ruyet
Neste trabalho, avaliamos o cancelamento de interferência iterativa como um método para remover a interferência intrínseca em um sistema de banco de filtros pré-codificado via DFT. Este receptor visa possibilitar a utilização de filtros protótipos mais longos melhorando o confinamento espectral e manter o mesmo desempenho de erro. Os resultados numéricos...
Cancelamento de InterferênciaBanco de Filtros pré-codificadoAlta MobilidadeFator de sobreposição
DOI 10.14209/sbrt.2021.1570724165
Rafael Duarte de Sousa, José Barbosa, Ana Nogueira Rodrigues De Oliveira, Carlos Danilo Miranda Regis
Acute Myocardial Infarction (MI) can be detected through Reconstructed Phase Space (RPS) parameters. The RPS is dependent on a time delay (τ) that can be a fixed or an optimal value based on the mutual information between a vectorcardiogram lead and its delayed version. This paper aims to assess the effect of an optimized time-delay in the detection of...
Reconstructed Phase SpaceAnterior Myocardial InfarctionDeep Neural NetworkVectorcardiogram
DOI 10.14209/sbrt.2021.1570724169
Thaisse Paes, Moisés Felipe Silva, Joao Weyl Costa
Operational modal analysis has been effectively used for video-based structural dynamics identification in recent years. With several different approaches, the ones based on the blind source separation strategy have received increased attention for identifying structural dynamics characteristics. This work presents a comparison study on the blind source...
Video-based Structural DynamicsBlind Source SeparationDimensionality ReductionModal Analysis
DOI 10.14209/sbrt.2021.1570724172
Natália Nagata, Renato Candido, Magno T. M. Silva
In this work, we use multilayer neural networks (MLP), recurrent neural networks, linear discriminant analysis (LDA) and combinations of these methods for automatic classification of cardiac arrhythmias. In order to obtain clinically realistic results for the diagnosis, patients records used during the training phase were not used in the test set. The...
Machine learningNeural networksLinear discriminant analysisElectrocardiogram