UPCommons (Universitat Politècnica de Catalunya)
Not a member yet
281550 research outputs found
Sort by
L'ús de la bioelectricitat com a eina per determinar la qualitat ambiental en platges
No full textAquest projecte es basa en analitzar la viabilitat de la bioelectricitat produïda per organismes
electrogènics que creixen a les platges de la costa mediterrània com a “proxy” per a la
estimació de la contaminació fecal provinent de la descàrrega d’aigües residuals a partir de
sistemes bioelectroquímics (BES). Per tant, aquest estudi té com a finalitat demostrar que l’ús
de biosensors basats en piles microbianes, més concretament les piles M3C, poden ser una
bona alternativa per la detecció indirecta de contaminació fecal davant el monitoratge
convencional
IKUSA Cybersecurity, l'spin-off UPC que ajuda empreses a protegir-se d'atacs de ciberseguretat
No full textIkusa Cybersecurity, una spin-off de la UPC que ajuda les empreses i institucions a prevenir la filtració de dades personals i a eliminar el rastre d'informació sensible que els seus empleats deixen a Internet, per evitar atacs que afectin la ciberseguretat.
Pere Barlet, professor de la Facultat d'Informàtica de Barcelona (FIB) i de l'Escola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona (ETSETB) i investigadors del Departament d'Arquitectura de Computadors, i Ismael Castell, investigador del mateix Departament, han estat al 4YFN presentant la seva proposta. També han participat en la UPC Pitching Session, on han tingut l'oportunitat de presentar el seu projecte davant d’inversors, representants institucionals i actors clau del sector
09-CCE_Material Acer Armadures Formigó
No full textEn aquesta presentació s'explica com són les armadures d'acer i perquè serveixen. S'indiquen els tipus d'acer, la forma de les barres i la manera d'identificar el material a partir de les corrugues de les barres. Es determina el mètode de càlcul per quanties per establir l'armadura mínima d'una secció de formigó armat a flexió simple i composta.2024/20252n quadrimestr
Estudio para la mejora de la cadena de suministro de una empresa fabricante de tejido cerámico
No full textEfficacy of cognitive rehabilitation in cognition and brain networks: a randomised clinical trial in patients with multiple sclerosis
No full textThis study evaluated the efficacy of the computerised Guttmann, NeuroPersonalTrainer® (GNPT) cognitive rehabilitation (CR) and characterised the induced changes in cerebral networks in patients with multiple sclerosis (MS). This multicentre, double-blind, randomised clinical trial compared upward intensity training (active treatment) to low-intensity static training (static treatment). Cognition was assessed using the Brief Repeatable battery before and after 12 weeks of training and at 10-months follow-up, and patients were classified as having a mild or severe cognitive impairment (CI). Brain MRI pre- and post-CR were analysed using an advanced tractography algorithm, based on multishell diffusion MRI, to obtain node-based graph metrics (local efficiency and strength) from microscopic fractional anisotropy. Seventy MS patients completed the study (age 48.9 ± 8.8, disease duration 16.8 ± 9.0 years); active treatment: 36, static treatment: 34. Verbal memory improved significantly post-CR in both groups (55 % active; 34 % static treatment), accompanied by increases in local efficiency and strength in multimodal regions. At follow-up, verbal memory declined in both groups but remained above the pre-CR assessment (-25 % and -17 %, respectively). Patients with severe-CI (n = 36) showed improvement only with active treatment, while those with mild-CI (n = 34) improved regardless of intensity treatment. Network changes were more pronounced in patients in active treatment and in those with severe-CI. Quality of life did not change at post-CR, and cognitive improvement was influenced by cognitive reserve (p = 0.011). In MS, GNPT temporarily improves verbal memory and increases network connectivity, reinforcing the CR as a valuable tool for enhancing cognitive skills and promoting neuronal plasticity.This work was sponsored by the Instituto Carlos III (ISCIII) and co-funded by the European Union through the Plan Estatal de Investigación Científica y Técnica y de Innovación 2015–2024 (PI15/00587 to SL and AS; PI18/01030 to SL and AS; PI21/01189 to SL and AS), by AGAUR SGR-Cat 2021, by the Red Española de Esclerosis Múltiple (REEM − RD16/0015/0002, RD16/0015/0003), by Bristol-Myers Squibb, the Ayudas Merck de Investigación 2017 from the Fundación Merck Salud and the Proyecto Societat Catalana Neurologia 2017.Peer ReviewedArticle signat per 25 autors/es.Postprint (published version
Parallel reduced-order modeling for digital twins using high-performance computing workflows
No full textThe integration of reduced-order models with high-performance computing is critical for developing digital twins, particularly for real-time monitoring and predictive maintenance of industrial systems. This paper presents a comprehensive, high-performance computing-enabled workflow for developing and deploying projection-based reduced-order models for large-scale mechanical simulations. We use PyCOMPSs’ parallel framework to efficiently execute reduced-order model training simulations, employing parallel singular value decomposition algorithms such as randomized singular value decomposition, Lanczos singular value decomposition, and full singular value decomposition based on tall-skinny QR. Moreover, we introduce a partitioned version of the hyperreduction scheme known as the Empirical Cubature Method to further enhance computational efficiency in projection-based reduced-order models for mechanical systems. Despite the widespread use of high-performance computing for projection-based reduced-order models, there is a significant lack of publications detailing comprehensive workflows for building and deploying end-to-end projection-based reduced-order models in high-performance computing environments. Our workflow is validated through a case study focusing on the thermal dynamics of a motor, a multiphysics problem involving convective heat transfer and mechanical components. The projection-based reduced-order model is designed to deliver a real-time prognosis tool that could enable rapid and safe motor restarts post-emergency shutdowns under different operating conditions, demonstrating its potential impact on the practice of simulations in engineering mechanics. To facilitate deployment, we use the High-Performance Computing Workflow as a Service strategy and Functional Mock-Up Units to ensure compatibility and ease of integration across high-performance computing, edge, and cloud environments. The outcomes illustrate the efficacy of combining projection-based reduced-order models and high-performance computing, establishing a precedent for scalable, real-time digital twin applications in computational mechanics across multiple industries.The authors acknowledge financial support from the Spanish Ministry of Economy and Competitiveness, through the “Severo Ochoa Programme for Centres of Excellence in R&D” (CEX2018-000797-S and CEX2021-001148-S)”, as well as to the project PID2019-107255GB (BSC authors). This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 955558. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Spain, Germany, France, Italy, Poland, Switzerland, Norway. This publication is part of the R&D project PCI2021-121944 and PCI2021-121957, financed by MCIN/AEI/10.13039/501100011033 and by the “European Union NextGenerationEU/PRTR”. Sebastian Ares de Parga Regalado acknowledges financial support from the Generalitat de Catalunya through the FI_SDUR-2021 grant (2021 FISDU 00142), which provided funding for his predoctoral training. BSC authors acknowledge financial support from the Departament de Recerca i Universitats de la Generalitat de Catalunya, research group MPiEDist (2021 SGR 00412). Author Fernando Vázquez is supported by PRE2022-104134 funded by MICIU/AEI /10.13039/501100011033 and by the FSE+.Peer ReviewedPostprint (published version
Durability and impact performance of concrete beam coated with polyurea
No full textPolyurea, a versatile and highly durable elastomeric coating, has gained attention in recent years for its potential to enhance the ductility and strength of concrete structures. This study investigates the durability of polyurea-coated prestressed concrete beams under accelerated aging conditions (chloride-induced corrosion), followed by bending and impact testing to evaluate the mechanical effects of the polyurea coating. Results demonstrate that polyurea significantly enhances load capacity, ductility, and resilience against corrosion, effectively protecting structural integrity over time. Specifically, coated beams show a 16¿% improvement in maximum load and an 81¿% increase in deflection, while uncoated beams experience notable degradation due to corrosion. In impact tests, polyurea-coated beams absorb forces more effectively, showing reduced peak loads, minimized structural damage, and greater post-impact recovery, with a coefficient of restitution of 41–61¿% for the uncoated beams and 71–77¿% for the polyurea-coated beams. These benefits make polyurea a coating material, capable of extending the lifespan of concrete structures in corrosive and impact-prone environments.Peer ReviewedPostprint (published version
Reptes i oportunitats de l’educació al llarg de la vida en un context de canvi
No full textEn les darreres dècades, la globalització i el procés de digitalització han transformat profundament la societat introduint canvis que han modificat la vida quotidiana. Una de les característiques d’aquest procés és que s’ha produït de manera accelera da i ha afectat múltiples esferes de la societat: els sistemes productiu, polític, cultu ral i educatiu. En un període relativament curt de temps, hem presenciat com s’han reconfigurat les característiques i les necessitats dels llocs de treball, com han sorgit noves formes de participació política, social i cultural i com han emergit noves for mes de participació i canals per adquirir coneixement, entre d’altres. Un dels ele ments fonamentals d’aquests canvis és el paper vertebrador del coneixement i com l’educació i la formació continuen essent indispensables per poder participar en nombroses esferes de la vida social. En aquest context, la capacitat d’aprendre i de formarnos en qualsevol moment de la vida esdevé imprescindible per adquirir nous coneixements i competències, per actualitzar el que havíem après i per adaptarnos a les necessitats emergents. És ne cessari, per tant, que els processos formatius i educatius no se centrin exclusivament en les primeres etapes de la vida, sinó que esdevinguin un procés més dinàmic i més extens que abasti diferents contextos socials i vitals i que s’allargui en diverses eta pes vitals. Per tant, un aprenentatge de cap a cap de la vida. En l’escala política, aquest aprenentatge permanent s’ha convertit en un element clau en els discursos i en l’agenda política, tant a escala nacional com internacional i posant un èmfasi especial en el foment de la participació de la població en activitats d’aprenentatge per fer front a les noves demandes emergents. Tot i un lleuger incre ment en la participació els darrers anys, el percentatge de persones en activitats for matives encara és lluny de les recomanacions de les institucions europees. Aquest text vol fer visibles alguns dels reptes actuals en matèria d’educació adulta en el context que ens correspon, així com assenyalar algunes línies d’actuació a escala local.Postprint (published version