A5022619896- Building Energy and Comfort Optimization
- Semiconductor Lasers and Optical Devices
- GaN-based semiconductor devices and materials
- Air Quality Monitoring and Forecasting
- Terrorism, Counterterrorism, and Political Violence
- Thermal Radiation and Cooling Technologies
- Urban Heat Island Mitigation
- Thin-Film Transistor Technologies
- Refrigeration and Air Conditioning Technologies
- Radioactive Decay and Measurement Techniques
- Business Strategy and Innovation
- BIM and Construction Integration
- Heat Transfer and Optimization
- Indoor and Outdoor Localization Technologies
- Microwave and Dielectric Measurement Techniques
- UAV Applications and Optimization
- Advanced Electrical Measurement Techniques
- Railway Engineering and Dynamics
- Infrastructure Maintenance and Monitoring
- Millimeter-Wave Propagation and Modeling
- IoT Networks and Protocols
- Fluid Dynamics and Thin Films
Universidade de Vigo
2023-2025
Complejo Hospitalario de Ourense
2016
Thermal coating paints offer a passive strategy to reduce heat gain in buildings, improve ventilation, and lower energy consumption. This study investigates the effectiveness of these technologies by comparing different housing structures environmental conditions. Specifically, it examines thermal envelope solutions for cool roofs homes along Colombian Caribbean Coast. We quantify impacts using experimental data collected from 120 houses across eight municipalities Magdalena Department,...
In this paper we present a numerical analysis and experimental measurements of the temperature stabilization high-power LED chips that have obtained by employing an aluminum passive heat sink, designed to be used in compact light bulb configuration. We demonstrate our system keeps chip well-below 70° C yielding long-term operation device. Our simulations been performed for low-cost device ready install public streetlights. The different configurations show nice agreement with calculations.
In the pursuit of energy efficiency and reduced environmental impact, adequate ventilation in enclosed spaces is essential. This study presents a hybrid neural network model designed for monitoring prediction variables. The system comprises two phases: An IoT hardware–software platform data acquisition decision-making combining short-term memory convolutional recurrent structures. results are promising hold potential integration into parallel processing AI architectures.
In the context of energy efficient lighting, we present a mathematical study heating and cooling processes common type luminaires, consisting single light-emitting diode source in thermal contact with an aluminum passive heat sink. First, stationary temperature distributions by addressing appropriate system partial differential equations commercial finite element solver. Then, temporal evolution chip find that it is well approximated fractional derivative generalization Newton’s law. The...
The age of the Internet Things (IoT) and smart cities calls for low-power wireless communication networks, which Long-Range (LoRa) is a rising star. Efficient network engineering requires accurate prediction Received Signal Strength Indicator (RSSI) spatial distribution. However, most commonly used models either lack physical accurateness, resolution, or versatility cityscape real-world building distribution-based RSSI predictions. For this purpose, we apply 2D electric field...
This work provides an overview of the growing use drones in both civilian and military domains, highlighting associated risks to public safety privacy. It discusses development counter-drone systems mitigate these risks, focusing on detection, tracking, classification, neutralization technologies. Various sensors such as passive radar, acoustic sensors, electro-optical infrared radiofrequency analyzers, active LiDAR are detailed, along with algorithms for data fusion. Mitigation strategies...
In the pursuit of energy efficiency and reduced environmental impact, adequate ventilation in enclosed spaces is essential. This study presents a hybrid neural network model designed for real-time monitoring prediction variables. The system comprises two phases: An IoT hardware-software platform data acquisition decision-making, combining short-term memory convolutional recurrent structures. results are promising hold potential integration into parallel processing AI architectures.
We present a detailed study of heating and cooling processes in LED luminaires with passive heat sinks. Our analysis is supported by numerical simulations as well experimental measurements, carried on commercial systems used for outdoor lighting. have focused our the common case single source thermal contact an aluminum sink, obtaining excellent agreement measurements performed. results can be easily expanded, without loss generality, to similar systems.
This study presents experimental results on capacitance fluctuations in several devices located within an interleaving structure. Specifically, it examines the behavior of between anode and cathode a photomultiplier, comparing with characteristics ultra-stable capacitor analyzed via measurements inside outside modified Faraday cage. The cover spectral correlation analyses both box, confirming differences spectrum using periodograms. In particular, confidence intervals for mean values show...