Bilatu
49-tik 31-40 emaitza erakusten
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 ...
Integrando los ODS en el grado de Ingeniería Informática
(Universitat d'Alacant, 2023)
El nuevo marco establecido por el Real Decreto 822/2021 estableció que los y las profesionales surgidos de las universidades tienen que ser capaces de liderar transformaciones ’claramente alineadas con los Objetivos de ...
Towards robust defect detection in casting using contrastive learning
(Springer, 2023)
Defect detection plays a vital role in ensuring product quality and safety within industrial casting processes. In these dynamic environments, the occasional emergence of new defects in the production line poses a significant ...
Teaching Model-Based Systems Engineering with MATLAB & Simulink for Smart Energy Systems
(2023)
Developing complex and smart energy systems is a challenge for today's industry. Systems are developed consisting of power hardware, control and communication hardware, and software of all kinds with more and more connectivity. ...
Analyzing Inter-Vehicle Collision Predictions during Emergency Braking with Automated Vehicles
(IEEE, 2023)
Automated Vehicles (AVs) require sensing and perception to integrate data from multiple sources, such as cameras, lidars, and radars, to operate safely and efficiently. Collaborative sensing through wireless vehicular ...
Data-based traffic profile generation tool for electric vehicle charging stations
(IEEE, 2023)
This paper presents a tool to generate realistic traffic profiles in Electric Vehicle (EV) charging stations. The tool emulates non-deterministic traffic cases based on data from similar applications. This obtained data ...
Design and analysis of a voltage ride-through testing solution based on a novel medium-voltage OLTC auto-transformer
(IEEE, 2023)
In this paper, a novel medium-voltage auto-transformer capable of generating under- and over-voltage conditions is introduced. The auto-transformer could emulate grid disturbances at 20kV, 30kV and 35kV, satisfying the ...
Comparison between the ETT and LTT Technologies for Electronic OLTC Transformer Applications
(IEEE, 2023)
This paper introduces a novel electronic tap-changer application for renewables with light-triggered thyristors for medium-voltage transformers. The on-chip functionality and robustness of the thyristor support applications ...
Loss Measurement of Low RDS Devices Through Thermal Modelling - The Advantage of Not Turning it Fully On
(IEEE, 2023)
This paper presents and evaluates a novel method for generating power losses on transistors avoiding high currents. These could heat up the circuit tracks, affecting the accurate thermal modeling of the system. The proposed ...