A5028470700- Optical Network Technologies
- Optical Wireless Communication Technologies
- Advanced Photonic Communication Systems
- Power Line Communications and Noise
- Smart Grid Energy Management
- Advanced Optical Network Technologies
- Semiconductor Lasers and Optical Devices
- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- PAPR reduction in OFDM
- Power System Optimization and Stability
- Energy Load and Power Forecasting
- Electricity Theft Detection Techniques
- Advanced Fiber Optic Sensors
- Photonic Crystal and Fiber Optics
- Photonic and Optical Devices
- Electric Power System Optimization
- Building Energy and Comfort Optimization
- Islanding Detection in Power Systems
- Smart Grid Security and Resilience
- Energy Harvesting in Wireless Networks
- IoT and Edge/Fog Computing
- IoT Networks and Protocols
- Business and Management Studies
- Power Quality and Harmonics
Universidade Federal do Espírito Santo
2016-2025
University of Wisconsin–Madison
2024
University of Finance and Economics
2018
University of Jordan
2018
Polytechnic Institute of Porto
2017
Universidade Federal Fluminense
2013
A resource optimization methodology is proposed for application in long range wide area networks (LoRaWANs). Using variable neighborhood search (VNS) and a minimum-cost spanning tree algorithm, it reduces the implementation maintenance costs of such low power networks. Performance evaluations were conducted LoRaWANs with LoRa repeaters to increase coverage, scenario where number location are determined by VNS metaheuristic. Parameters as spread factor (SF), bandwidth transmission adjusted...
A theoretical study and an experimental evaluation on the performance of long-range (LoRa) technology are presented in this paper. After instructive mathematical review important concepts, we assess LoRa additive white Gaussian noise (AWGN) channels through a numerical model, to elucidate its communication capabilities negative signal-to-noise ratio (SNR) conditions and, as consequence, long distances promised by such low power narrowband technology. Because significance forward error...
Photonic technology combined with artificial intelligence plays a key role in the development of latest smart system trends, integrating cutting-edge machine learning models. This paper proposes transmission-reflection analysis based using dielectric nanoparticle-doped fiber to address one major problems distributed sensing approach: reducing cost while maintaining high spatial resolution close gap between sensors and general public. Machine learning-based models are designed classify...
We report the development of an optimization approach for diaphragm-embedded optical fiber sensors, which was applied on pressure, force and liquid level assessment using chirped Bragg gratings (CFBGs) inscribed in cyclic transparent polymer (CYTOP) fibers. The inscription performed plane-by-plane method with a femtosecond laser, whereas diaphragm through multi-objective particle swarm (MOPSO). objective functions were obtained from numerical simulation finite element diaphragms different...
This paper presents a comprehensive study of parameter estimation for three-phase induction motors (IMs) using hybrid optimization methods and comparative evaluation static dynamic modeling approaches. A metaheuristic combining the Sine Cosine Algorithm (SCA) Particle Swarm Optimization (PSO) is developed to identify optimal motor parameters efficiently. The approach utilizes model rapid estimation, with final values validated against ensure accuracy in operational predictions. Results...
Timing of mobilization after chronic subdural hematoma (cSDH) surgery is highly heterogeneous among neurosurgical centers. Past studies have suggested that early may reduce medical complications without increasing recurrence, but evidence remains scarce. The purpose this study was to compare an protocol with a 48-hour bed rest practice, focus on the occurrence complications.The GET-UP Trial prospective, randomized, unicentric, open-label intention-to-treat primary analysis designed evaluate...
This article presents the development and analysis of a hydroxypropyl cellulose (HPC)-based sensor for force estimation. The is based on mixture between HPC deionized water with different concentrations. red-green-blue (RGB) components sensors responses are analyzed as function concentration HPC, which indicate relation stable color concentration. In addition, experiments variation system correlation performance, where sample 63% (in weight) demonstrated higher sensitivity red green...
This paper introduces a pioneering hybrid topology tailored for Internet of Things (IoT) applications, integrating mesh and star wireless sensor configurations. hybridized approach aims to optimize energy consumption efficiency while ensuring comprehensive network coverage deployment. The formulation the strategy is rooted in empirical data collected from real sensors deployed across two neighboring municipalities within State Espírito Santo, Brazil. Specifically, our analysis encompasses...
The efficient use of the photovoltaic power requires a good estimation PV generation. That is why techniques for forecast necessary. In this research paper, Long Short-Term Memory, Bidirectional Memory and Temporal convolutional network are studied in depth to power, voltage efficiency 1320 Wp amorphous plant installed Technology Support Centre University Rey Juan Carlos, Madrid (Spain). accuracy these compared using experimental data along one year, applying 1 timestep or 15 min 96 step...
This work proposes the development of a computational tool that goal at forecasting daily generation capacity electric power in distributed system based on micro generators use renewable and seasonal sources. In specific case, wind photovoltaic microgenerators are used, which can be found smart homes. The is Extreme Learning Machine (ELM) an artificial neural network model. parameter selection implemented for ELM Particle Swarm Optimization (PSO). used mathematical models micro-generators...