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Pla general del vestíbul de l'edifici Coderch de l'ETSAB
No full textPla general del vestíbul de l'edifici Coderch de l'ETSAB
Primer pla de l'equip directiu de la FME amb el membre de l'estand Novartis en el Fòrum FME-Empresa 2023
No full textDimecres 10 de maig - vestíbul FME (d'12 a 15 h) Les empreses participants disposen d’un espai on poden interactuar amb els estudiants i recent titulats, responent els seus dubtes, oferint oportunitats de feina, convenis o col·laboracions educatives, i recollint currículums. Addicionalment, us oferim la possibilitat que les empreses ens envieu presentacions breus en vídeo a [email protected] , per tal que les puguem publicar al nostre web i fer-ne difusió a través de LinkedIn
Chaotic masking protocol for secure communication and attack detection in remote estimation of cyber-physical systems
Full text linkIn remote estimation of cyber-physical systems, the sensor measurement transmitted through network may be attacked by adversaries, leading to leakage risk of privacy (e.g., the system state), and/or failure of the remote estimator. To deal with this problem, a chaotic masking protocol is proposed in this paper to secure the sensor measurement transmission. In detail, at the plant side, a chaotic dynamic system is deployed to encode the sensor measurement, and at the estimator side, an estimator estimates both states of the physical plant and the chaotic system. This protocol can deal with multiple types of attacks, i.e., eavesdropping attack, replay attack, and stealthy false data injection attack.This research was in part supported by the National Natural Science Foundation of China under Grant No. 62203386, and Zhejiang Provincial Natural Science Foundation of China under Grant No. LZ23F030008. This research is carried out within the framework of the EU-funded Recovery, Transformation and Resilience Plan (Next Generation) thorugh the project ACROBA and the Spanish Ministry of Universities funded by the European Union - NextGenerationEU (2022UPC-MSC-93823). This work is part of the Project MAFALDA (PID2021-126001OB-C31) funded by MCIN/ AEI /10.13039/501100011033 and by ”ERDF A way of making Europe”. This work is part of the project MASHED (TED2021- 129927B-I00), funded by MCIN/ AEI/10.13039/501100011033 and by the European Union Next GenerationEU/PRTR. This work has been also partially founded by the ANR project Alligator (ANR-22- CE48-0009-01).Peer ReviewedPostprint (published version
The Ohm’s Law for (non-symmetric) three-phase three-wire electrical circuits: from a complex-valued to a geometric algebra approach
No full textThis paper introduces the modelling of three-phase electrical systems using the Geometric Algebra approach and is compared with the complex-valued framework in the case of non-symmetrical conditions. The main benefit of the geometric algebra framework is the possibility of representing the dynamics of unbalanced scenarios by a single-input, single-output relationship. The paper presents step-by-step, building the geometric impedance and revisiting Ohm’s law, and compares the complex-valued modelling widely used in balanced three-phase circuits.This work was partially supported by the Government of Spain through the Agencia Estatal de Investigación Project PID2021- 122821NB-I00 and by the Generalitat de Catalunya, Spain through the Projects 2021-SGR-00098, 2021-SGR-00375 and 2021-SGR00376.Peer ReviewedPostprint (author's final draft
Service placement in the continuum: A systematic literature review
No full textCloud computing plays a crucial role in the Industry 4.0 era, particularly with the rise of Internet of Things (IoT) applications that support domains such as education, healthcare, business, and manufacturing. These applications consist of multiple services with diverse quality of service (QoS) requirements, making their development and deployment complex. While traditional cloud environments provide scalability, they often fail to support latency-sensitive and resource-intensive applications. To overcome these limitations, alternative paradigms such as Cloud–Fog–Edge (CFE), Cloud–Fog (CF), Cloud–Edge (CE), Fog–Edge (FE), and Mobile Edge Computing (MEC) have emerged. These models push computation, storage, and networking closer to end devices, reducing latency and bandwidth usage. However, the heterogeneity, mobility, and dynamic nature of these environments make service placement (a known NP-hard problem) a central challenge. This article presents a systematic literature review of service placement approaches across the compute continuum. Following established SLR methodology, we identified and analyzed 124 peer-reviewed studies published between 2018 and 2024, classifying them by (i) deployment environment, (ii) service placement strategies and algorithms, (iii) adaptability of the solution, (iv) optimization objectives, (v) virtualization/orchestration technologies, (vi) evaluation methodologies, including workloads, testbeds, and simulation tools and (vii) use cases or application types. The novelty of this work lies in providing not only a detailed taxonomy of placement approaches but also this is the first survey that takes all seven aspects into consideration and establishes correlations between them. Our findings reveal that most existing works target smart health applications and favor heuristic-based placement in complex CFE scenarios, while research on scientific and compute-intensive workloads remains limited. We also identify Kubernetes as the most widely used orchestration technology and latency as the dominant optimization metric. Despite significant progress, the field is still maturing, with gaps in real-world validation and adaptive, ML-based placement strategies. By consolidating technical approaches, evaluation practices, and open challenges, this survey offers both researchers and practitioners a structured overview of the state of the art and guidance for advancing service placement in the compute continuum.The work leading to this publication was partially co-funded by the Spanish Ministry of Science and Innovation under grant PID2021-124463OB-I00 funded by MCIN /AEI /10.13039/501100011033 and by the ERDF ‘‘A way of making Europe’’; by the Catalan Government under contract 2021 SGR 00326; and by the EU Horizon programme under grant 101070177 (ICOS project).Peer ReviewedPostprint (published version
Conserved quantities in the ocean surface boundary layer: a fresh perspective on a classical problem
No full textNoether's (1918) (first) Theorem reveals three conservation laws from physical symmetries in the wind-induced ocean's surface boundary layer, as described by the Classical Ekman's (1905) Theory. The Lagrangian function used for the Ekman model is comprised of two terms. A term that accounts for vertical mixing, parametrized by a constant eddy viscosity coefficient, and a second term for the rotation of the current field due to Coriolis force. The derived conservation laws, which involve relationships between the helicity, enstrophy, and kinetic energy within the surface boundary layer, allow recovering and explaining well-known and new features of the Classical Ekman's (1905) Theory. Enstrophy, which is a property of the entire water column, can be readily obtained from the surface deflection angle at the surface alone. Conservation laws provide a theoretical explanation for the Bjerknes experiment, according to which the phase angle grows linearly with depth. Remarkably, a unique symmetry-preserving constant eddy viscosity coefficient can be determined from observations, provided that observations are described by Ekman's Theory. This outcome suggests that the determined value converges more closely to the true physical value compared to crude estimates by statistical fittingM. Díez-Minguito acknowledges support from research projects EPICOS (Plan Andaluz de Investigación, Desarrollo e Innovación, PAIDI 2021. Ref. ProyExcel 00375) and DICHOSO (Ref. PID2021-125783OB-I00). A. Valle-Levinson acknowledges support from US NSF project OCE 1736957. The authors would like to thank the three anonymous reviewers for their valuable comments and suggestions, which have help to improve the manuscriptPostprint (published version
Sensor data-driven decision support system for real-time optimization and impact assessment in concrete construction
No full textThis paper introduces a sensor data-driven decision support system for calculating both economic and environmental impacts of implementing the maturity method. The system integrates data from wireless temperature sensors embedded in concrete with a four-phase workflow and a dedicated Impact Assessment Methodology (IAM). This combination enables construction teams to assess both economic and environmental impacts of early-age concrete behaviour, supporting decisions such as formwork removal timing or concrete mix adjustment. The proposed methodology was applied to a real-world viaduct construction project involving 691 m3 of concrete and 50 wireless sensors. The results demonstrated significant optimization potential compared with the standard method, including cost savings of 48.15 €/m3, 1.59 kg CO2-eq/m3 of avoided emissions, and a reduction of 0.031 m3 of water per cubic meter of concrete. The system provides a transparent and replicable framework with potential applicability to a wide range of construction contexts, from building projects to large-scale infrastructure works.This work was supported by Catalan agency AGAUR trough the Knowledge Industry grants PRODUCTE (2023PROD00058).Peer ReviewedPostprint (published version
Resilience of polygeneration systems for residential buildings in Spain
No full textThis study evaluates polygeneration systems as a strategy to enhance the resilience, economic performance of residential building energy systems across different Spanish climate zones, with the purpose of identifying the most appropriate approximation and the capacity of complying with future environmental regulations. A Mixed-Integer Linear Programming (MILP) model is developed to optimize system design and operation under blackout scenarios ranging from 1 to 24 hours, particularly during peak electricity demand, comparing the results with those from conventional energy systems. The results show that polygeneration systems deliver the highest economic savings and resilience when outages coincide with peak solar production, achieving up to 36 % operational savings and approximately 30 % CO2 reductions in Mediterranean and Continental climate zones. In contrast, North-Atlantic climate zones show limited benefits due to lower solar resources. Moreover, when both resilience and compliance with EU 2030 environmental targets are enforced, feasible solutions are foreseen for the first two climate zones, while the North-Atlantic would require too high investments. Environmental benefits are contingent upon PV penetration, while cogeneration modules are crucial in areas with low solar resources. Overall, polygeneration systems are a promising approach for resilient and sustainable residential energy supply with adequate renewable resources.This work was supported by the Agency for Management of Univer- sity and Research Grants (AGAUR - Generalitat de Catalunya) [grant number 2021 SGR 00226]. Lluc Canals Casals is a Serra Húnter fellow.Peer ReviewedPostprint (published version