Zerrendatu Kongresuak-Ingeniaritza honen arabera: izenburua
316-tik 184-203 emaitza erakusten
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Integrando las dimensiones de la experiencia de paciente en proyectos de diseño centrado en las personas
(AEIPRO, 2020)Diversas investigaciones apuntan que una eXperiencia de Paciente (PX) positiva mejora los resultados de salud y la rentabilidad de los centros médicos. Uno de los enfoques utilizados para mejorar la PX es el diseño centrado ... -
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 ... -
Interferentzia elektromagnetikoaren azterketa potentzia-elektronikako sistemetan Si-WBG trantsizio teknologikoaren testuinguruan
(UEU, 2021)This research project has analysed the effect of electromagnetic interference (EMI) on power electronics systems, as well as the effect of the transition from silicon-based devices to WBG-based devices. The main goal has ... -
An Interoperable EMS for the Provision of Grid Services with Hybrid Energy Storage Systems
(IEEE, 2022)This paper proposes an interoperable energy management system (EMS) for grid-connected HESSs, enabling the provision of ancillary services to the grid. Power systems are evolving towards a more renewable and decentralised ... -
Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery
(IEEE, 2020)This paper presents the implementation and explanations of a remaining life estimator model based on machine learning, applied to industrial data. Concretely, the model has been applied to a bushings testbed, where fatigue ... -
Kernel hautapen dinamikoa Optimizazio Bayesiarrean
(UEU, 2015)In Bayesian Optimization, when using a Gaussian Process prior, some kernels adapt better than others to the objective function. This research evaluates the possibility of dynamically changing the kernel function based on ... -
Labor Induction failure prediction based on B-Mode Ultrasound Image Processing using Multiscale Local Binary Patterns
(IEEE, 2016)Labor induction is defined as the artificial onset of labor for the purpose of vaginal birth. Cesarean section is one of the potential risks of labor induction as it occurs in about 20% of the inductions. A ripe cervix ... -
Labor Induction failure prediction using Gabor filterbanks and Center Symmetric Local Binary Patterns
(IEEE, 2018)Labor induction is defined as the artificial stimulation of uterine contractions aimed to induce vaginal birth. Occurring in about 20% of pregnancies labor induction has become one the most commonly practiced procedures ... -
Latentziarik gabeko sareko identifikatzaileen aleatorizazioa kontrol industrialerako sistemetan proaktiboki errekonozimendu erasoak mitigatzeko
(UEU, 2023)Kontrol industrialerako sistemak askotariko instalazio industrialetan erabiltzen dira, azpiegitura kritikoetan barne, segurtasun-eraso anitzen helburu nagusi bihurtuz. Sare industrialen konfigurazio eta topologia estatikoek, ... -
Li-ion Battery State-of-Charge estimation algorithm with CNN-LSTM and Transfer Learning using synthetic training data
(2022)The development of State-of-Charge (SoC) algorithms for Li-ion batteries involves carrying out different laboratory tests with the money and time that this entails. Furthermore, such laboratory labours must typically be ... -
Lithium-ion Battery Aging Prediction with Electrochemical Models: P2D vs SPMe
(IEEE, 2023)Battery aging models are essential tools when predicting how much a battery will age under certain working conditions, which is key when sizing a battery pack and controlling its operation. Nowadays, mostly empirical battery ... -
Loss Measurement of Low RDS Devices Through Thermal Modelling - The Advantage of Not Turning it Fully On
(IEEE, 2023)This paper presents and evaluates a novel method for generating power losses on transistors avoiding high currents. These could heat up the circuit tracks, affecting the accurate thermal modeling of the system. The proposed ... -
Machining behaviour of Ti-6Al-4V and Ti-5553 alloys in interrupted cutting with PVD coated cemented carbide
(Elsevier, 2012)Machining behaviour of Ti-5553, Ti-6Al-4 V mill-annealed (MA) and Ti-6Al-4 V solution treated and aged (STA) alloys was studied in different interrupted cutting operations using PVD coated cemented carbide tools. Single ... -
Magnet eddy current loss calculation method for segmentation analysis on permanent magnet machines
(IEEE, 2011)Eddy current losses generated in the rotor of permanent magnet machines may lead to an excessive magnet heating. This can cause the magnets to get fully demagnetized so it is very important to analyze the losses on them. ... -
Makina Elektrikoen Portaera Bibroakustikoaren Neurketa eta Simulazioa
(UEU, 2015)Noise and vibration of electrical machines is a major concern. Changes in the machine design to improve its ef f iciency can lead to unacceptable vibrations. Tools to predict its vibratory and acoustic performance at the ... -
Mapping human factors in virtual reality: VRUX
(AEIPRO, 2023)Industry 5.0 addresses the technocentric limitations of Industry 4.0 and opts for a more humancentred industry. This affects the different technologies that are already being implemented in manufacturing such as exoskeletons, ... -
El marco de la formación dual universitaria en MU: la transición del modelo de alternancia a la formación dual
(Universidade de Santiago de Compostela, 2018) -
MDE based IoT Service to enhance the safety of controllers at runtime
(Aachen University, 2019)One of the challenges for complex IoT software systems is toincrease their safety. A Model Driven Development approach helps in the design and development phase of these systems while runtime checkin gtechniques help to ... -
Mechanical and electrical properties of additively manufactured copper
(IOP Publishing, 2021)Additive Manufacturing (AM) has become the new paradigm of design and production strategies. While structural and functional materials are the most implemented ones, it is also possible to manufacture parts using precious ... -
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 ...
