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Exploring the transformation of user interactions to Adaptive Human-Machine Interfaces
(ACM, 2023)
Human-machine interfaces (HMI) facilitate communication between humans and machines, and their importance has increased in modern technology. However, traditional HMIs are often static and do not adapt to individual user ...
A meta-learning strategy based on deep ensemble learning for tool condition monitoring of machining processes
(Elsevier, 2023)
For Industry 4.0, tool condition monitoring (TCM) of machining processes aims to increase process efficiency and quality and lower tool maintenance costs. To this end, TCM systems monitor variables of interest, such as ...
Simulation based IEEE 802.11ad performance assessment in factory workshop
(IEEE, 2023)
The IEEE 802.11ad standard exploits the millimeter wave (mmWave) spectrum, concretely the license-free frequency band in the 57-71 GHz range. Nowadays, this frequency band is mostly unused for use cases related to communication ...
A comparison between continuous and hairpin windings for electric traction drives
(IEEE, 2023)
Present change in mobility to vehicle electrification involves highly exigent requirements on product performance and production technologies. In the manufacturing of electric machines, the stator winding is the most ...
Industrial eco-productivity tool: a case study of industrial SMEs
(Springer, 2023)
This paper presents a new, unified method to measure and increase production and environmental performance in industrial SMEs (Small and Medium Enterprises), which have very limited resources, by identifying areas to improve ...
Experimental verification of the AC resistance effect in Insulated Metal Substrate based Power Converters
(IEEE, 2023)
Insulated Metal Substrate (IMS) based power converters are an excellent solution for thermal dissipation of power converters, but they suffer for limited layer options generating parasitic elements specially in High ...
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 ...