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SBrT2022 · 2022

XL Simpósio Brasileiro de Telecomunicações e Processamento de Sinais

167 artigos · página 17 de 17
DOI 10.14209/sbrt.2022.1570825022

Desenvolvimento de um middleware IoT distribuído com foco em smart grids

Marcio da Silva Maciel, Alan Petrônio Pinheiro, Daniel de Oliveira Ferreira, Alailton José Alves
Os sistemas elétricos de potência vem passado por um processo de modernização conhecido como smart grids. Ele está associado à digitalização da rede elétrica e monitoramento em larga escala. E a tecnologia de internet das coisas promete ajudar neste processo. Neste artigo é proposto um middleware distribuído para as redes elétricas com foco em...
MiddlewareRedes ElétricasInternet das coisassmart grids
DOI 10.14209/sbrt.2022.1570825025

Laser-1550 nm à Fibra em Mode-Locking Harmônico Passivo na Cavidade de Figura-de-8

Laila Jorge de Sousa Souto, Ricardo Marques Ribeiro, Claudia Barucke Marcondes, Filipe Lopes Tenreiro da Silva
This article describes the assembly and characterization of a fiber optic laser device in a figure-of-eight (F8L) ring configuration using a semiconductor optical amplifier (SOA) as medium of gain. The assembled F8L device consists of a laser operating in the harmonic mode-locking. Longitudinal modes locking were obtained with a repetition rate of short...
harmonic mode-lockingLaserSemiconductor optical amplifieroptical communications
DOI 10.14209/sbrt.2022.1570825026

HIGEIA-DA: reconHecimento de neuroImagens para diaGnóstico antEcIpAdo da Doença de Alzheimer com base em redes neurais

Nathalia C dos Santos, Matheus Henrique Vieira, Dianne Medeiros
O diagnóstico antecipado da Doença de Alzheimer (DA) permite retardar seu efeito degenerativo progressivo. Esse diagnóstico é desafiador devido à grande semelhança entre o cérebro de uma pessoa saudável com envelhecimento natural e o de uma pessoa em estágio muito inicial da doença. Este artigo propõe o HIGEIA-DA, um classificador multiclasse que tem o...
DOI 10.14209/sbrt.2022.1570825033

Link-length Analysis for First-neighbor Optical ISLs in Ultra-dense LEO Constellations

Igor P. Vieira, Thiago C. Pita, Darli Mello
In this work, we performed a detailed study of first-neighbor type connections for ultra-dense next-generation low-Earth orbit (LEO) constellations. The link lengths and their corresponding free-space path losses (FSPLs) are quantified for both intraorbital and interorbital connections (the latter in two distinct topologies). Each of the inter-satellite...
Satellite CommunicationsLEO constellationsLEO-LEOISL
DOI 10.14209/sbrt.2022.1570825034

Performance Evaluation of ESP32 in Outdoor Links

Pedro Rendeiro, Jamile L Leite, Lucas Silva, Marcos Silva, George Sales, Leonardo Ramalho
The purpose of this paper is to evaluate WiFi performance of the ESP32 module in outdoor scenarios. This was done by measuring the received signal strength indicator (RSSI) at different point of a relatively open area, prone to possible sources of interference, in order to simulate a real-life usage situation. The results show that it is possible to use...
IoTESP32WiFiRSSI
DOI 10.14209/sbrt.2022.1570825063

Design of Interdigital Bandpass Filters for Millimeter Wave Applications

Luis Alexandre S Tapia, Elígia Simionato, Ivan Aldaya, Jose Augusto de Oliveira, Rafael Abrantes Penchel
This work presents the design of a third-order band-pass interdigital filter with Butterworth response designed to operate in the ISM band from 57 to 66 GHz. The project adopted an aluminum oxide (alumina) substrate, copper microstrip transmission lines and a CPW interface. We performed electromagnetic analysis in Ansys EM using the Finite Element Method...
DOI 10.14209/sbrt.2022.1570825065

Detection of Zika virus infection on mosquitoes using spectroscopy and machine learning

Leonardo Reigoto, Rafael Freitas, Gabriel Araujo, Amaro de Lima
This work shows a method to classify mosquitoes infected with the Zika virus. We accomplish that by using spectroscopy and machine learning. Our model takes the light absorbance of wavelengths from 350 to 1000 nm as inputs. It employs a combination of Linear Discriminant Analysis (LDA) of the windowed version of the signal (to take advantage of...
Zika virusMachine LearningLinear Discriminant AnalysisSupport Vector Machine