XLIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais

This article addresses the development of an intelligent system capable of identifying critical situations involving elderly individuals in a home environment. Using Convolutional Neural Networks trained with a database subdivided into relevant sound event classes, the system classifies audio captured from the environment and issues alerts via the MQTT...

This work presents a modular Multiple-Input Multiple-Output (MIMO) framework that is integrated into an existing RAN-level simulator. The MIMO module follows 3GPP specifications (3GPP TR 25.996 v18.0.0 (2024-03)), supporting multiple antenna configurations and spatial channel modeling for enhanced realism. A planar array of dipole elements is implemented...

Este artigo explora abordagens baseadas em redes neurais convolucionais (CNNs) para a classificação de gêneros musicais utilizando o dataset GTZAN. São avaliadas três estratégias principais: (1) VGGish, uma arquitetura CNN desenvolvida para tarefas de áudio; (2) um modelo com transfer learning utilizando MobileNetV2 pré-treinado no ImageNet; e (3) um...

This paper investigate the physical layer security (PLS) of an in-home and broadband multiple-input multipleoutput (MIMO) power line communication (PLC) system under the presence of a passive malicious PLC eavesdropper. To do so, the MIMO multiple eavesdroppers (MIMO-ME) PLC wiretap channel model is adopted and numerical results of secrecy outage...

Este trabalho investiga o impacto da redução do número de canais de eletroencefalograma no desempenho de modelos de classificação do tipo match-mismatch, utilizados em acompanhamento neural da fala. Foi avaliada uma arquitetura baseada em convoluções dilatadas, considerando diferentes números de canais e durações dos segmentos de entrada. Os resultados...

This paper extends the distributed minimum power distortionless response (MPDR) beamformer to 3D virtual arrays with heterogeneous node geometries. We first present a system model of cooperative nodes-each with its own arbitrary array-and generalize the distributed MPDR, originally designed for λ/2-spaced linear arrays, to 3D arrays. We then evaluate...

No paradigma de aprendizado federado, diversas fontes de dados são empregadas para aprender sobre um mesmo problema ou modelo. As instâncias são usadas para aprender/atualizar localmente o modelo. Cada atualização do modelo é enviada a uma central que atualiza o modelo global. O modelo global é reencaminhado para os dispositivos. Esse processo é iterado...

This paper presents the development of NORI (New Open RAN Interface), a modular and scalable solution to integrate the NS-3 simulator with the Near-RT RIC of the Open RAN architecture. NORI supports recent NS-3 versions and enables metric collection via the standardized E2 interface, without requiring modifications to the simulator core. It is compatible...

This paper analyzes the influence of reflectivity in 3D LiDAR and the impact of color differences on the identification of people and distant objects. Experiments were conducted using high-precision LiDAR sensors to measure the reflective response of different materials and clothing colors under various distances from the 3D sensor. The results showed...

The disciplines of the engineering curriculum require mathematical reasoning and a high degree of abstraction, requiring new approaches that increase student stimulation and interest. This article presents a teaching kit for teaching quantization in disciplines that involve the concept of signal digitization. The prototype was manufactured using a...