DOI 10.14209/sbrt.2022.1570823642
Rafael Martiny, Raoni Alcântara, Rosângela Coelho
This article presents a study of the impact of noise and reverberation on speech intelligibility and quality. This evaluation includes the use of ideal masks IBM, IRM and IQM, and the blind masks BRM and BAM. The objective intelligibiliry measures ESII and STOI and quality measures PEAQ and PESQ are considered in the experiments. The impact of noise and...
InteligibilidadeMáscara acústicaNão-estacionariedade
DOI 10.14209/sbrt.2022.1570823709
Daniel G Silva, Ugo Dias, Anna Beatriz de Souza Perotto, William Batista Aguiar Motta Betker, Eduardo Rocha da Costa
This paper studies the effectiveness of Sentiment Analysis, via the BERTimbau language model, for a consumer complaints dataset from the Consumidor.gov platform. Transfer Learning is employed for the finetuning phase and a manually-labelled test set is designed to evaluate the model. Classification results show a F1-Score of 74% for the "Satisfied" class...
DOI 10.14209/sbrt.2022.1570823724
Mateus R Cruz, Samuel Mafra, Felipe Augusto Pereira de Figueiredo
Agriculture innovation has become essential to increasing the efficacy of food production. Wireless Sensor Networks and the Internet of Things can play an essential role in this innovation process. This paper proposes and validates a LoRa network that applies Machine Learning capabilities on edge following an Internet of Things approach. The Wireless...
Internet of ThingsLoRaMachine LearningWireless Sensors
DOI 10.14209/sbrt.2022.1570823731
Iandra Galdino, Didier Le Ruyet, Marcello Campos, Rostom Zakaria
Quadrature Amplitude Modulation based Filter-Bank Multi-Carrier (QAM-FBMC) is a promising multicarrier modulation technique for communication systems. In this paper, we propose a short prototype filter optimization to improve the QAM-FBMC system performance. The presented filter is obtained by optimizing the weighted sum of discrete prolate spheroidal...
Filter-bankQAM-FBMCSlepian sequencesDPSS
DOI 10.14209/sbrt.2022.1570823732
Matheus A. M. Ferreira, Thiago E. Fernandes, Guilherme P. C. Miranda, Marcos V. G. Silva, Eduardo Pestana de Aguiar
The majority of mechanical components went through a machining process during their manufacturing. Therefore, manufacturing processes with inadequate condition tools are likely to induce unexpected operational interruptions, accidents, product quality, and economic losses. Accordingly, the ability to classify fault imminences can result in cost...
Processamento de SinaisAnálise de DadosAprendizagem Computacional
DOI 10.14209/sbrt.2022.1570823738
Bruno Pompeo, Daniel Nicolalde Rodríguez, José Antonio Apolinário Jr., Marcelo Campos, Wallace Alves Martins
In this paper, the authors investigate the use of feedforward neural networks to estimate the location and velocity of non-cooperative targets in passive radar systems. Time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements between the direct-path signals originated by an illuminator of opportunity and the target's...
passive radarfeedforward neural networktime difference of arrivalfrequency difference of arrival
DOI 10.14209/sbrt.2022.1570823756
Ellen M Giacometti, Gabriel Araujo, Thiago Prego, Amaro de Lima, Cristiano de Carvalho, Fabrício Silva
Persian Lime (Citrus × latifolia) is a citrus fruit commonly called Tahiti lime in Brazil, a major exporter of it. In this work, we propose a computer vision-based system to automatically classify Persian lime according to color, size, and defect. We designed a dataset composed of images from hundreds limes in several conditions to train and validate the...
Random ForestClassificationPersian limeData Augmentation
DOI 10.14209/sbrt.2022.1570823760
Matheus Sêda, Eduardo Saia, Nicola Andriolli, Danilo Spadoti, Felipe Bizerra Fideles, Giampiero Contestabile, Juliano Oliveira, Evandro Conforti, Arismar Cerqueira S. Jr.
Este trabalho relata a transmissão RoF seguido por um enlace baseado em comunicação por luz infravermelha com feixe direcionado (BS-ILC), que utiliza a tecnologia de óptica em espaço livre (FSO). O transmissor é baseado em óptica integrada. No sistema RoF/BS-ILC proposto, um sinal M-QAM foi transmitido por um fronthaul óptico de 12,5 km, seguido por um...
5G6GBS-ILCcircuitos fotônicos integrados
DOI 10.14209/sbrt.2022.1570823771
Wilker de O Feitosa, Pedro Castro, Francisco Rafael Marques Lima
A estratégia de formatação de feixes de energia, do inglês, Energy Beamforming (EB), realizado por uma torre transmissora de energia ou, do inglês, Power Beacon (PB), com múltiplas antenas em redes de comunicações energizadas por ondas de rádio, do inglês, Wireless Powered Communication Network (WPCN), possui um grande potencial de aplicação em redes sem...
Comunicações em redes sem fioColheita de EnergiaSIC imperfeitoEnergy Beamforming
DOI 10.14209/sbrt.2022.1570823776
Gustavo dos Santos Cardoso, Luiz Carlos Branquinho Caixeta Ferreira, Fernando Bauer, Eduardo de Lima, Luís G. Pedroso Meloni, Paulo Cardieri
There are several different IoT middleware platforms available for IoT systems. However, most of these platforms require high computational hardware to be implemented, making their use in low-cost and computationally restricted devices difficult. This motivated us to develop an IoT architecture and template suitable for computationally restrained...
MiddlewareInternet of ThingsFrameworks