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Development of a novel method to characterize mean surface peak curvature as a signature of tribological performance of dental implant surfaces
(IOP Publishing, 2020)
The integrity of dental implant surfaces might be compromised during surgical insertion. Wear and topographical modifications can occur during implant insertion, which can potentially have clinical implications. Accordingly, ...
Data-driven energy resource planning for Smart Cities
(IEEE, 2020)
Cities are growing and, therefore, the primary needs, such as the energy resources. Hence, managing them in the proper way becomes essential for a sustainable growth. This paper proposes a data-driven tool based on IoT ...
Factores clave para la competitividad de las empresas tecnológicas de servicios avanzados, T- KIBS
(Mondragon Unibertsitatea. Enpresagintza Fakultatea., 2023)
Hoy en día, se da un fenómeno económico a nivel global, denominado terciarización,
por el cual el peso de los servicios es cada vez mayor con respecto al resto de sectores
económicos. Si bien en general el sector servicios ...
A method to extract lumped thermal networks of capacitors for reliability oriented design
(Elsevier, 2020)
In this work we propose a procedure based on finite element simulations to compute a lumped-parameter thermal model of capacitors. The extracted Foster or Cauer network coupled to the electrical model can be useful to ...
Towards an Asset Administration Shell scenario: a use case for interoperability and standardization in Industry 4.0
(IEEE, 2020)
The new paradigm of the Industry 4.0 centers on the digitalization of assets to realize a new industrial revolution. Standardization and interoperability are key for the successful implementation of this digitalization ...
Addressing the Patient Experience through Human-Centred Design: A Scoping Review
(Ubiquity Press, 2023)
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 ...
Matematikaren eta euskararen trataera integrala: zein elkarrekintza didaktiko dira lagungarri arloko ikaskuntzan sakontzeko?
(Euskal Herriko Unibertsitatea (UPV/EHU), 2023)
Artikulu honek helburu du bi eremu soziolinguistiko desberdinetako Lehen Hezkuntzako bi irakasleren gelaratzeak aztertzea matematikako buruketak langai diren saioetan. Azterketa horretan hizkuntza eta arloa uztartuta ...
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 ...
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 ...
Integral Design and Manufacturing Methodology of a Reduced-Scale Servo Press
(IEEE, 2021)
In a context where industrial production boosts both the society and the economy of a country, improvements in industrial processes are key factors for efficient and reliable development of goods and products. New industrial ...
Mondragon ZTIM-HUB: the collaborative network for the development of stem vocations
(2022)
It is well known that STEM (Science, Technology, Engineering & Mathematics) is one of the most heard concepts both in the field of education and in the business sphere, when talking about the socio-economic needs of the ...
Application of Computer Vision and Deep Learning in the railway domain for autonomous train stop operation
(IEEE, 2020)
The purpose of this paper is to present the results of the analysis of the application of Deep Learning in the railway domain with a particular focus on a train stop operation. The paper proposes an approach consisting of ...
Model Predictive Control for EV Chargers Coupling Electro-Thermal and Degradation Battery Models
(IEEE, 2023)
This paper presents an energy management algorithm for an Electric Vehicle (EV) charging station equipped with solar energy generation and local battery-based storage. For this purpose, a practical electric, thermal, and ...
"Gehiegitan galdetzen didate nongoa naizen". Murgiltze programako ikasle etorri berriak eta identitatearen auzia
(Euskaltzaindia, 2023)
Artikulu honetan ikerketa baten berri emango dugu, ume eta gazte etorri berriekin (10-14 urte) lan egiten duten 32 irakasleren adierazpenak oinarri hartuta; euskara irakasleak dira murgiltze programan (“Eusle”1 eta ...
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 ...
Fear Field: Adaptive constraints for safe environment transitions in Shielded Reinforcement Learning
(CEUR-WS.org, 2023)
Shielding methods for Reinforcement Learning agents show potential for safety-critical industrial applications. However, they still lack robustness on nominal safety, a key property for safety control systems. In the case ...