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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 ...
Enhancing Flexibility in Industry 4.0 Workflows: A Context-Aware Component for Dynamic Service Orchestration
(Elsevier, 2024)
Manufacturing processes of the future will rely on standards for asset interoperability and service orchestration. The Asset Administration Shell (AAS) facilitates information exchange among Industry 4.0 assets, while ...
Impact behaviour of bio-inspired sandwich panels integrally manufactured from 3D printed continuous carbon fibre reinforced polyamide
(2024)
This paper studies the effect of several design parameters on the impact performance of fully 3D printed sandwich panels with a core cell unit inspired by the trabecular structure of the forewing of a beetle. The key finding ...
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 ...
PEM motako erregai-pilen zenbakizko analisia eta balioztatze esperimentala
(Udako Euskal Unibertsitatea (UEU), 2023)
Gaur egungo aldaketa klimatikoa dela medio, energia elektrikoa lortzeko alternatiba berri ugari sortzen ari dira. Horien artean erregai-pilek abantaila suposatzen dute hainbat esparrutan. Ikerketa honetan gaur egun garapen ...
Geometry optimisation of highly crowned gear couplings working in high misalignment applications to reduce tooth root stresses
(EDP Sciences, 2023)
Crowned gear couplings are mechanical components used to transmit power between misaligned rotating shafts. Their geometry is characterised by a significant longitudinal crowning to accommodate angular misalignment. Recent ...
Digital twin development for the sensitivity analysis of near solidus forming process
(Materials Research Forum LLC, 2023)
Near Solidus Forming (NSF) process, performed at semi-solid material state is gaining popularity due to its good physical properties, low manufacturing cost and material waste. Although the process possesses many advantages ...
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. ...
Evaluación del potencial de las imágenes OCT maculares para el diagnóstico de la enfermedad de Parkinson
(Universidad de Valladolid, 2022)
Methodology for assessing the in-service behaviour of glass plates considering the effect of residual stresses
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)
The structural performance of glass mainly depends on the surface quality and the residual stress state. Surface damage produced during the manufacturing process or subsequent handling, might lead to the presence of ...
Diffusion of hydrocarbons diluted in supercritical carbon dioxide
(Springer Nature, 2023)
Mutual diffusion of six hydrocarbons (methane, ethane, isobutane, benzene, toluene or naphthalene) diluted in supercritical carbon dioxide ( CO2 ) is studied by molecular dynamics simulation near the Widom line, i.e., in ...
Three-dimensional effects during thermocapillary-driven melting of PCMs in cuboidal containers in microgravity
(Elsevier, 2024)
The melting of a phase change material (PCM) in a cuboidal domain under microgravity conditions is investigated numerically. The upper surface of the PCM is free (in contact with air, for example) and variations in its ...
A Methodology for Advanced Manufacturing Defect Detection through Self-Supervised Learning on X-ray Images
(MDPI, 2024)
In industrial quality control, especially in the field of manufacturing defect detection, deep learning plays an increasingly critical role. However, the efficacy of these advanced models is often hindered by their need ...
Periodontitis and Outer Retinal Thickness: a Cross-Sectional Analysis of the United Kingdom Biobank Cohort
(Elsevier, 2024)
Purpose
Periodontitis, a ubiquitous severe gum disease affecting the teeth and surrounding alveolar bone, can heighten systemic inflammation. We investigated the association between very severe periodontitis and early ...
Sensitivity Analysis of Near Solidus Forming (NSF) Process with Digital Twin Using Taguchi Approach
(Springer Nature, 2024)
Forging at near solidus material state takes advantage of the high ductility of the material at the semi solid or soft-solid state while keeping most of the mechanical properties of a forged part. The technology is at ...
Non-invasive Thermohydrodynamic Approach for Fast Cell Manipulation at the Microscale
(Springer, 2024)
Thermal gradients have emerged as a promising technique for manipulating and sorting biological material at the microscale, holding considerable potential in lab-on-a-chip technology. Herein, we propose a non-invasive ...
Euskarazko komunikabideen balio soziala: Argia-ren eta Alea-ren kasu azterketak
(Behategia, 2024)
Euskarazko hedabide batek gizarteari ekartzen
diona dirutan neur litekeena baino askoz
handiagoa da. Ikerketa honek erakusten
duena da, izan Alea-n edo izan Argia-n (eta gauza
bera euskarazko beste hedabideetan), jartzen ...