Generic semantics-based task-oriented dialogue system framework for human-machine interaction in industrial scenarios
In Industry 5.0, in which automatization has an increasingly important role, human workers and their well-being are placed at the centre of the production process. Task-oriented dialogue systems allow workers to delegate simple tasks to industrial assets while working on more complex ones.
This work presents a study of the surface hardening and tempering processes using an oscillating laser beam, shaped by means of a high-dynamic galvanometric mirror scanner and generated by a continuous wave diode laser.
Desarrollo de un sistema de monitorización y control para el proceso de aporte metálico por láser basado en la digitalización tridimensional de la geometría
El principal objetivo de esta tesis es desarrollar una metodología robusta de monitorización y control del proceso de aporte, Laser Metal Deposition (LMD), que permita reducir el tiempo y coste de fabricación y aumente la calidad de las piezas fabricadas.
Kerman Lopez de Calle, a researcher working for the Smart Information Systems Unit at the technology centre, has submitted his thesis entitled “On the use of context information for an improved application of data-based algorithms in condition monitoring”, whose main aim is to analyse the role played by context in terms of monitoring algorithms in the field of machine condition monitoring.
The main objective of this research work is to demonstrate the potential for improvement that techniques and methodologies related to prescriptive analytics can provide in industrial maintenance applications.
Context- and Template-Based Data Compression Approach to Improve Resource-Constrained IoT Systems Interoperability
In this thesis, we present a novel data compression approach for text-based data formats, namely Context- and Template-based Compression (CTC), which is specially designed taking into account the limitations of resource-constrained devices and networks.