Zerrendatu Artikuluak-Ingeniaritza honen arabera: izenburua
592-tik 214-233 emaitza erakusten
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Field Weakening Characteristics Computed with FEM-Coupled Algorithms for Brushless AC Motors
(MDPI AG, 2018)Finite Element Method (FEM) analysis tools are the most adopted in the design of brushless alternating current motors due to the advantage of considering multi-physics effects with dependencies of variables such as ... -
Finite element modeling of fretting wear scars in the thin steel wires : Application in crossed cylinder arrangements
(Elsevier Ltd, 2014)This paper completes a series of two papers in which a FE based methodology for the prediction wear scars in thin steel wires under fretting wear conditions is developed. In the first paper ‘Finite element modeling and ... -
FlexRQC: Model for a Flexible Robot-Driven Quality Control Station
(Elsevier Ltd., 2020)As the investment on a dedicated quality control stations is not desirable for limited production batches. In general, those systems result in very optimised systems and the lack of flexibility since they are designed for ... -
Foveal Pit Morphology Characterization: A Quantitative Analysis of the Key Methodological Steps
(MDPI, 2021)Disentangling the cellular anatomy that gives rise to human visual perception is one of the main challenges of ophthalmology. Of particular interest is the foveal pit, a concave depression located at the center of the ... -
Foveal Remodeling of Retinal Microvasculature in Parkinson’s Disease
(Frontiers, 2021)Background: Retinal microvascular alterations have been previously described in Parkinson’s disease (PD) patients using optical coherence tomography angiography (OCT-A). However, an extensive description of retinal vascular ... -
FPGA-Based Degradation and Reliability Monitor for Underground Cables
(MDPI AG, 2019)The online Remaining Useful Life (RUL) estimation of underground cables and their reliability analysis requires obtaining the cable failure time probability distribution. Monte Carlo (MC) simulations of complex thermal ... -
A Framework For Product Design Based On Semantic Attribution Process
(Taylor & Francis, 2017)Existing brands already have certain products that generate a particular experience in customer minds. Every time a customer’s interacts with of brand’s products and related touchpoints, the customer form an idea about the ... -
Framework to evaluate continuous improvement process efficacy: a case study of a capital goods company
(2020)Purpose: This document describes a continuous improvement process assessment system (CIPAS). A continuous improvement process (CIP) was developed to progress through the levels of continuous improvement (CI) defined by ... -
Frequency-Dependent Pi Model of a Three-Core Submarine Cable for Time and Frequency Domain Analysis
(MDPI AG, 2018-10-16)In this paper, a Frequency-Dependent Pi Model (FDPi) of a three-core submarine cable is presented. The model is intended to be used for the representation of submarine cables in an Offshore Wind Power Plant (OWPP) scenario ... -
Friction Modelling for Tube Hydroforming Processes : A Numerical and Experimental Study with Different Viscosity Lubricants
(MDPI, 2022)The final quality of sheet and tube metal–formed components strongly depends on the tribology and friction conditions between the tools and the material to be formed. Furthermore, it has been recently demonstrated that ... -
Friction Stir Welding of AA2099-T83 and AA2060-T8E30 Aluminium Alloys with New Cr-Free Surface Treatments and Sealant Application
(MDPI, 2021)The feasibility for friction stir welding (FSW) surface-treated AA2099-T83 aluminium extrusions with AA2060-T8E30 aluminium sheets in the overlap configuration and using a sealant at the interface was investigated in this ... -
FTIR as a Powerful Tool for Measurements of Diffusion in Supercritical Carbon Dioxide Using Taylor Dispersion Method
(MDPI, 2022)A new experimental high-pressure setup for measuring diffusion coefficients in supercritical fluids, based on Taylor dispersion method, and using an FTIR detector to operate up to 25.0 MPa was designed and optimized. Tracer ... -
Fully pipelined implementation of tree-search algorithms for vector precoding
(Hindawi, 2013)The nonlinear vector precoding (VP) technique has been proven to achieve close-to-capacity performance in multiuser multipleinput multiple-output (MIMO) downlink channels. The performance benefit with respect to its linear ... -
Functional hub disruption emphasizes consciousness recovery in severe traumatic brain injury
(Oxford Academic, 2023)Severe traumatic brain injury can lead to transient or even chronic disorder of consciousness. To increase diagnosis and prognosis accuracy of disorder of consciousness, functional neuroimaging is recommended 1 month ... -
Fundamentos básicos del acoplamiento inductivo y rol de los condensadores de desacoplo
(Federación de Asociaciones de Ingenieros Industriales de España, 2022)El acoplamiento electromagnético es el mecanismo con el que un circuito induce ruido o interferencia en otro circuito adyacente. Este mecanismo de acople genera Interferencias Electromagnéticas que degradan o incluso ... -
Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview
(Elsevier, 2024)Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds significant promise for capturing expert motor skills through efficient imitation, facilitating adept navigation of complex scenarios. ... -
Fuzzing the Internet of Things: A Review on the Techniques and Challenges for Efficient Vulnerability Discovery in Embedded Systems
(IEEE, 2021)With a growing number of embedded devices that create, transform and send data autonomously at its core, the Internet-of-Things (IoT) is a reality in different sectors such as manufacturing, healthcare or transportation. ... -
Gallium Nitride Power Devices: A State of the Art Review
(IEEE, 2023)Wide Bandgap (WBG) semiconductor materials present promising electrical and thermal characteristics for Power Electronics applications. These WBG devices make it possible the development of more efficient converters with ... -
Gamification and discovery learning: Motivating and involving students in the learning process
(Elsevier, 2023)The widespread use of new technologies by students has forced universities to include active methodologies in their pedagogy. This process has accelerated due to the COVID-19 pandemic, introducing innovative changes in ... -
A Generalization Performance Study Using Deep Learning Networks in Embedded Systems
(MDPI, 2021)Deep learning techniques are being increasingly used in the scientific community as a consequence of the high computational capacity of current systems and the increase in the amount of data available as a result of the ...
