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Genetic Algorithm-based Testing of Industrial Elevators under Passenger Uncertainty
(IEEE, 2021)
Elevators, as other cyber-physical systems, need to deal with uncertainty during their operation due to several factors such as passengers and hardware. Such uncertainties could affect the quality of service promised by ...
Kooperatibismoaren sustraiak II: sozialista asoziazionistakLanki kuadernoak = Cuadernos Lanki ; 16
(Mondragon Unibertsitatea. Humanitate eta Hezkuntza Zientzien Fakultatea, 2022)
Esku artean duzun liburuxka honekin, kooperatibismoaren sustraietan sakontzeko aukera
duzu. Aurrekoari segida ematera datorren argitalpena da. Orduan, XVIII. eta XIX.
mendeetan, industria-kapitalismoari aurre eginez, ...
Parametric Optimisation of a Direct Liquid Cooling–Based Prototype for Electric Vehicles Focused on Pouch-Type Battery Cells
(MDPI, 2022)
In this work, a numerical optimisation process is applied to improve the fluid dynamical aspect of an innovative direct liquid cooling strategy for lithium-ion–based HEV/EV. First, the thermofluidic numerical model of the ...
Prediction of Surface Roughness of SLM Built Parts after Finishing Processes Using an Artificial Neural Network
(MDPI, 2022)
A known problem of additive manufactured parts is their poor surface quality, which influences product performance. There are different surface treatments to improve surface quality: blasting is commonly employed to improve ...
Participación Familiar en Escuelas con Alta Presencia de Alumnado Inmigrante y en Desventaja Socioeconómica
(Universidad Autónoma de Madrid, 2022)
El presente trabajo busca examinar la percepción de las familias sobre su participación en centros con alta presencia de alumnado inmigrante y escasos recursos económicos. Se examinan las estrategias ...
A novel direct liquid cooling strategy for electric vehicles focused on pouch type battery cells
(Elsevier Ltd., 2022)
In this work, a novel direct liquid cooling strategy for a large-scale lithium-ion pouch type cell is proposed to control the cell working temperature within the optimum range of performance and safety. With a modular ...
Advantages of Arrowhead Framework for the Machine Tooling Industry
(IEEE, 2020)
Immersed in the digital era and fully experiencing the changes introduced by the new industrial revolution of the so-called Industry 4.0, there are still many aspects of industrial digitization to resolve. Interoperability ...
CRESCO Framework and Checker: Automatic Generation of Reflective UML State Machine's C++ Code and Checker
(IEEE, 2020)
Software Systems are becoming increasingly complex leading to new Validation & Verification challenges. Model checking and testing techniques are used at development time while runtime verification aims to verify that a ...
Review of computational parameter estimation methods for electrochemical models
(Elsevier Ltd, 2021)
Electrochemical models are an incipient technique for estimation of battery cells internal variables, useful for cells design or state of function optimization. One of the non-trivial procedures that allow the use of this ...
Static Current Unbalance of Paralleled SiC MOSFET Modules in the Final Layout
(IEEE, 2020)
Silicon Carbide (SiC) MOSFETs enable enhanced performance of power converters in several applications. Parallel connection of SiC MOSFETs become mandatory for medium power applications due to the current rate of existing ...