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SBrT2023 · 2023

XLI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais

189 artigos · página 11 de 19
DOI 10.14209/sbrt.2023.1570922852

Simultaneous Factorization of Multiple Khatri-Rao and Kronecker Matrix Products in MIMO systems

Walter da Cruz Freitas Jr., Lucas Abdalah, André de Almeida
In this paper, we present a singular value decomposition (SVD)-based rank-one approximation algorithm to estimate simultaneously each symbol matrix of the multiple Khatri-Rao product-based space time (MKRST) coding. We modeled such estimation problem in a multiple input multiple output (MIMO) space-time coding scenario. As shown in our simulation...
TensorPARAFACKhatri-Rao productKronecker product
DOI 10.14209/sbrt.2023.1570922913

Reinforcement Learning Scheduling for URLLC Service Protection in Industry 4.0 Scenario

Cleverson Nahum, Weskley Maurício, Maykon Silva, Michelle Soares Pereira Facina, Marcos Takeda, Aldebaro Klautau
In this work, we study the inter- and intra-slice scheduling of the Industry 4.0 scenario considering three services available: enhanced Mobile Broadband (eMBB), Ultra-Reliable Low-Latency Communication (URLLC), and Massive Machine Type Communication (mMTC). In this context, we proposed inter-slice scheduling with Ultra-Reliable Low-Latency Communication...
Resource SchedulingIndustry 4.0SlicesReinforcement Learning
DOI 10.14209/sbrt.2023.1570922987

Auxiliar Terapêutico Interativo para Desenvolver Habilidades em Crianças Autistas Utilizando Processamento Digital de Imagens

Luiz Eduardo Sales e Silva, Beatriz Silva, Lurdes Vitória Silva, Paulo Henrique Silva, Thiago Costa
This research project aims to develop a novel tool to assist children with Autism Spectrum Disorder (ASD) in enhancing their visual contact abilities. The proposed methodology employs digital image processing techniques and machine learning algorithms to create an interface capable of iris displacement recognition and detection. By identifying the user's...
AutismoProcessamento Digital de ImagensAprendizado de MáquinaFiltros de Haar
DOI 10.14209/sbrt.2023.1570923159

DINO: Dynamic and Intelligent Network Operative for Secure and Efficient Access to the Edge Network Computing Environment

Caio Storni, Diogo M. F. Mattos, Dianne Medeiros
Multi-access Edge Computing (MEC) extends cloud computing to the network's edge, placing MEC servers closer to End Devices (EDs). This paradigm aims to respond locally to computing tasks, reducing the routed data to the core network and the communication latency. Nevertheless, offloaded task requests may congest MEC servers and incur increased waiting...
Multi-access Edge ComputingNetwork SecurityNetwork VirtualizationEdge Network Computing
DOI 10.14209/sbrt.2023.1570923164

System Level Evaluation of Network-Controlled Repeaters: Performance Improvement of Serving Cell and Interference Impact on Neighbor Cells

Gabriel Carlini Monte da Silva, Erik Ray B. Falcão, Victor Farias Monteiro, Darlan C. Moreira, Diego Aguiar Sousa, Tarcisio F. Maciel, Francisco Rafael Marques Lima, Behrooz Makki
Heterogeneous networks have been studied as one of the enablers of network densification. These studies have been intensified to overcome some drawbacks related to propagation in millimeter waves (mmWaves), such as severe path and penetration losses. One of the promising heterogeneous nodes is network-controlled repeater (NCR). It was proposed by the 3rd...
network-controlled repeater (NCR)wireless backhaulcoveragefifth generation (5G)
DOI 10.14209/sbrt.2023.1570923175

Reconhecimento de Cargas em Sistemas Residenciais de Gestão de Energia por meio de Algoritmos Baseados em Árvores de Decisão

Thales Wulfert Cabral, Guto Mendes, Fernando Bauer, Eduardo de Lima, Gustavo Fraidenraich, Luís Geraldo P. Meloni
For the efficient management of domestic energy demand, technology has carried innovative equipment such as the Home Energy Management System (HEMS). As an extension of [5], this article adopts new alternatives for the fast training chain of models to load recognition in HEMS. The contributions are (i) the inclusion of Extreme Gradient Boosting (XGBoost)...
Machine learningLoad RecognitionXGBoost
DOI 10.14209/sbrt.2023.1570923197

Redução de Dimensionalidade para Diagnóstico de Falhas em Transformadores de Potência

Thales Wulfert Cabral, Larissa Almeida, Eduardo de Lima, José Cândido Silveira Santos Filho, Luís Geraldo P. Meloni
Power substations face high operating costs for implementing fault monitoring in power transformers, which requires monitoring equipment installation and signal processing. This work investigates two approaches to alleviate such costs in the context of gas-in-oil-based fault diagnosis: (i) modern dimensionality reduction techniques or (ii) brute-force...
Machine learningdissolved gas analysispower transformer fault diagnosissignal processing
DOI 10.14209/sbrt.2023.1570923223

Impact of ADC Sampling Rate and Number of Bits on the Matched Filter Efficiency in Intrapulse LFM Radar

Andre Martins Kruger, Derek Nogueira, Renato Machado, Dimas Irion Alves, Olympio Coutinho
This paper analyzes the effects of changing the sample rate and the number of bits of a linearly frequency- modulated (LFM) pulse on a matched filter-based radar detector. For this purpose, a radar simulator with close to real parameters is used. Changes in the values of those variables are made separately and in combination, verifying their impacts. A...
QuantizationCompression gainSidelobe level
DOI 10.14209/sbrt.2023.1570923269

Application of YOLOv7 for real-time detection of Aedes Aegypti

Danilo Machado de Oliveira, Samuel Mafra, Felipe Augusto Pereira de Figueiredo, Guilherme Pires Pieadade, Mateus R Cruz, Eduardo Henrique Teixeira
Public health faces significant challenges in combating the Aedes aegypti mosquito, which still threatens Brazilian population. Despite awareness campaigns and control measures, the incidence of diseases such as dengue, zika and chikungunya is still high. However, technological advances have enabled the development of devices capable of detecting Aedes...
IoTLoRa/LoRaWanDengueComputer Vision
DOI 10.14209/sbrt.2023.1570923277

Caracterização Numérica de Células Unitárias com Linhas de Atraso de Fase para Redes Refletoras Impressas

Suyane P. Campos, Marcos V. T. Heckler, Edson R. Schlosser
This paper presents the phase responses of circular-shaped scaterrers with phase-delay lines for operation at 9.6~GHz. The curves indicate a wide range of phase values obtained by varying the length of the phase-delay lines. The behavior of the three analyzed structures is suitable for the integration into a reflectarray in the future.
Redes de antenas refletorasLinhas de atraso de faseEspalhadores impressos