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Identification and Prioritisation of Professional Transitions in Manufacturing Operations in the New Context of Industry 4.0
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)
This paper examines the results from the identification and prioritisation phase of professional transitions towards the requalification of digital job operators. It was developed as part of the ‘Learning Solutions for ...
Exploring multilingual writers in secondary education: insights from a trilingual corpus
(2023-12-16)
This study aims at contributing to the field of multilingual writing and providing evidence for Cummins’ Common Underlying Proficiency Hypothesis (CUP) through analysing trilingual writing among secondary education students ...
The impact of protective capacity in implementing drum-buffer-rope methodology in make-to-order environments: an assessment by simulation
(Publicaciones DYNA, 2022)
This study uses simulation to analyse the impact of protective capacity in the implementation of the step 3 of the theory of constraints (TOC) methodology in make-to-order (MTO) environments. The results suggest that at ...
Development and validation of an automatic manufacturing process for fiberglass compositesDesarrollo y validación de un proceso automático de fabricación de composites de fibra de vidrio
(Dyna Publishing, 2023)
Fiberglass reinforced polymeric composites are ideal for various applications due to their mechanical properties and lightweight. However, nowadays many fiberglass reinforced composite manufacturing processes are manual, ...
Capacity buffer management in implementing drum-buffer-rope methodology in make-to-order environments
(Federación de Asociaciones de Ingenieros Industriales de España, 2022)
The research work conducted by Orue et al. [1] aims to analyze the impact of protective capacity on the application of the third step of the drum-buffer-rope methodology of the theory of constraints (subordinate everything ...
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 ...
Influencia de los datos biográficos y experiencia deportiva de los estudiantes universitarios de educación fisíco-deportiva sobre sus creencias, actitudes y autoconcepto físicoInfluence of biographical data and sports experience of university students of physical-sports education on their beliefs, attitudes and physical self-concept
(University of Almeria, 2023-03-06)
El propósito de este estudio fue examinar cómo influyen las experiencias deportivas y su biografía en cada sujeto, con respecto a sus creencias y actitudes de cara a la educación física y su autoconcepto físico. Se utilizaron ...
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 ...
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 ...