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High Efficiency Converters Based on Modular Partial Power Processing for Fully Electric Maritime Applications
(MDPI, 2023)
This paper proposes an approach for analyzing the benefits that partial-power-processing-based converters can bring to fully electric maritime applications. With the aim of making the system modular and scalable to different ...
An experience in the implementation of the flipped classroom instructional model in the computer science degree
(Wiley, 2023)
In recent years, education has undergone a profound transformation process, having gone from relying only on the traditional lecture to making full use of digital formats. This gradual process, accelerated by the COVID-19 ...
Improving Programming Learning in Engineering Students Through Discovery Learning
(IEEE, 2023)
Programming is basic to all engineering studies and a complicated subject for many first-year students. Many of the problems stem from the difficulty students have in finding the solution they need on the Internet, which ...
Performance Improvement of a Silicon Partial Power Converter over a Silicon Carbide Full Power Converter
(IEEE, 2023)
This article studies the new benefits that partial power processing brings to Silicon (Si) devices compared to wide-bandgap technologies. To prove this, the proposed case study consists of an on-board charger (OBC) application ...
Effect of near beta-transus forging parameters on the mechanical and microstructural properties of Ti-6Al-4V: Application to hammer forging
(Materials Research Forum LLC., 2023)
Ti-6Al-4V is a widely employed material in the aerospace, power generation and bioengineering industries due to its low density, excellent corrosion resistance and outstanding mechanical properties. Hammer forging is one ...
Measurement Based Stochastic Channel Model for 60 GHz Mmwave Industrial Communications
(IEEE, 2023)
Communications in the mmWave spectrum are gaining relevance in the last years as they are a promising candidate to cope with the increasing demand of throughput and latency in different use cases. Nowadays, several efforts ...
Federated Explainability for Network Anomaly Characterization
(ACM, 2023)
Machine learning (ML) based systems have shown promising results for intrusion detection due to their ability to learn complex patterns. In particular, unsupervised anomaly detection approaches offer practical advantages ...
Search-based Test Case Selection for PLC Systems using Functional Block Diagram Programs
(IEEE, 2023)
Programmable Logic Controllers (PLCs) are the core unit of the production system, which frequently need to implement new processes to address customer needs. These changes must be fully tested to ensure the reliability of ...
Damping characterisation of an elevator rope
(ISMA, 2022)
The ropes of an elevator transmit the vibrations from the motor to the elevator car, and consequently have a great influence on comfort. Therefore, it is of major interest to analyse the dynamic behaviour of these elements. ...
Noise attenuation prediction and analysis in rectangular lined ducts
(ISMA, 2022)
The noise of Heating, Ventilating and Air Conditioning (HVAC) systems is an important aspect when the comfort of the users is compromised. Thus, solutions to attenuate that noise need to be proposed. Linings in ducts are ...