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CORDIS

Transform safety-critical cyber-physical systems into distributed solutions for end-users and partners

Livrables

Solutions for end-to-end security and privacy for distributed CPS v1

Report on developed solutions to preserve endtoend security and privacy in edgecloud computing when deploying running distributed applications for safetycritical applications consistent with the TRANSACT reference architecture and based on the concepts defined in D32 Analysis of the interactions with the solutions for endtoend safety and performance defined in D33 The report due on M33 is a refinementextension of the report of M18 The deliverable further includes a contribution to the PolarSys open ecosystem specifically extensions security assurance and requalification This report will indicate which elements are opensourced and will feed into D65

Selection of concepts for end-to-end security and privacy for distributed CPS solutions

Report on requirements and stateoftheart concepts for endtoend security and privacy for distributed safetycritical CPS Selection of existing concepts and definition of novel concepts to security and privacy consistent with the TRANSACT reference architecture Analysis of the interactions with the concepts for safety and performance defined in D31 This report will integrate input received from our open source community

Solutions for end-to-end safety and performance for distributed CPS v1

Report on developed solutions to monitor predict and manage endtoend safety and performance in distributed CPS including safeguards and graceful degradation techniques and requalification techniques consistent with the TRANSACT reference architecture and based on the concept defined in D31 Analysis of the interactions with the solutions for endtoend security and privacy defined in D33 The report due on M33 is a refinementextension of the report of M18 The deliverable further includes a contribution to the PolarSys open ecosystem specifically extensions for safety assurance and requalification This report will indicate which elements are opensourced and will feed into D65

Selection of concepts for end-to-end safety and performance for distributed CPS solutions

Report on requirements and stateoftheart concepts for endtoend safety and performance for distributed safetycritical CPS Selection of existing concepts and definition of novel concepts to safety and performance consistent with the TRANSACT reference architecture Analysis of the interactions with the concepts for security and privacy defined in D32 This report will integrate input received from our open source community

Reference architectures for SCDCPS v1

A report on stateoftheart architectures for safetycritical distributed cyberphysicalsystems This report will indicate which elements are opensourced and will feed into D65

TRANSACT transition guide to facilitate safety-critical distributed CPS solutions v1

At the end of the TRANSACT project this task will make a report evaluating project results with respect to the effectiveness of the transition to distributed safetycritical CPS solutions given the means and methods developed

Publications

The Effect of Covariate Shift and Network Training Detection

Auteurs: S. Mariani, S. R. Klomp, and P. H. De With.
Publié dans: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5 VISAPP: VISAPP, 2023, ISBN 978-989-758-634-7
Éditeur: SciTePress
DOI: 10.5220/0011725900003417

Modelado de Sistemas IoT para la Industria en Minería Subterránea de Carbón

Auteurs: Iván Alfonso, Kelly Garcés, Harold Castro and Jordi Cabot
Publié dans: Actas de las XXVI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2022), 2022
Éditeur: Sistedes

Response-Time Analysis for Non-Preemptive Periodic Moldable Gang Tasks

Auteurs: Nelissen,  G.,  Marce-i  Igual,  J.,  &  Nasri,  M. 
Publié dans: 34th Euromicro Conference on Real-Time Systems (ECRTS 2022), 2022
Éditeur: Schloss Dagstuhl
DOI: 10.4230/lipics.ecrts.2022.12

Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification

Auteurs: Dogan Altan, Mohammad Etemad, Dusica Marijan, Tetyana Kholodna
Publié dans: 35th Canadian Conference on Artificial Intelligence (Canadian AI 2022), 2022
Éditeur: Caiac
DOI: 10.48550/arxiv.2204.11855

Software-Defined Network Based Secure Internet-Enabled Video Surveillance System

Auteurs: Mathew Del Castillo, Harvey Hermosa, Philip Virgil Astillo, Gaurav Choudhary & Nicola Dragoni
Publié dans: """Conference proceedings- Information Security Applications, 23rd International Conference, WISA 2022""", 2023
Éditeur: Springer
DOI: 10.1007/978-3-031-25659-2_7

Enabling Content Management Systems as an Information Source in Model-driven Projects

Auteurs: Joan Giner-Miguelez, Abel Gómez, Jordi Cabot
Publié dans: 2022
Éditeur: Springer
DOI: 10.1007/978-3-031-05760-1_30

Modeling Self-Adaptative IoT Architectures

Auteurs: Iván Alfonso, Kelly Garcés, Harold Castro and Jordi Cabot
Publié dans: SAM2021: System Analysis and Modelling: Agility and DevOps, 2021
Éditeur: IEEE
DOI: 10.1109/models-c53483.2021.00122

Poster: Improving the Reliability of BLE Communications through Packet-level Adaptations on a Per-Channel Basis

Auteurs: Elisabeth Salomon, Carlo Alberto Boano, and Kay Römer
Publié dans: Proceedings of the 19th International Conference on Embedded Wireless Systems and Networks (EWSN), poster session, 2022
Éditeur: ACM

Data-Age  Analysis  for  Multi-Rate  Task  Chains  under  Timing Uncertainty

Auteurs: Gohari, P., Nasri, M., & Voeten, J.
Publié dans: RTNS '22: Proceedings of the 30th International Conference on Real-Time Networks and Systems, 2022
Éditeur: ACM
DOI: 10.1145/3534879.3534893

Combining conventional and machine learning approaches to predict battery degradation based on connected vehicle fleets

Auteurs: A. Tuschkan, W. Ratzke, A. Belnarsch, C. Aras, C. Simon
Publié dans: """20. VDI-Kongress mit Fachaustellung SIMVEC 2022 - Aktuelle Herausforderungen bei der Auslegung und Absicherung von Fahrzeugsystemen""", 2022
Éditeur: VDI

Understanding and Mitigating the Impact of Wi-Fi 6E Interference on Ultra-Wideband Communications and Ranging

Auteurs: H. Brunner, M. Stocker, M. Schuh, M. Schuß, C.A. Boano, and K. Römer
Publié dans: 21st International Conference on Information Processing in Sensor Networks (IPSN), 2022
Éditeur: IEEE

Federated Learning for Tabular Data using TabNet: A Vehicular Use-Case

Auteurs: William Lindskog, Christian Prehofer
Publié dans: 2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP), 2023, ISBN 978-1-6654-6437-6
Éditeur: IEEE
DOI: 10.1109/iccp56966.2022.10053975

Predictive Energy Management for Battery Electric Vehicles with Hybrid Models

Auteurs: William Lindskog, Christian Prehofer, Yu-Wen Huang, Ron Puts, Pietro Mosca, Göran Kauermann
Publié dans: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2023
Éditeur: Springer
DOI: 10.1007/978-3-031-30855-0_13

TRANSACT: Towards safe and secure distributed cyber-physical systems

Auteurs: Abel Gómez, Iván Alfonso, Javier Coronel, María Deseada Esclapez, Javier Ferrer
Publié dans: XXVI Jornadas de Ingeniería del Software y Bases de Datos (JISBD), 2022
Éditeur: Sistedes

A Domain-Specific Language for the specification of UCON policies

Auteurs: Antonia M. Reina Quintero, Salvador Martinez Perez, Angel Jesus Varela-Vaca, Maria Teresa Gomez Lopez, Jordi Cabot
Publié dans: Journal of Information Security and Applications, 2022, ISSN 2214-2126
Éditeur: Elsevier
DOI: 10.1016/j.jisa.2021.103006

Software assistants in software engineering: A systematic mapping study

Auteurs: Maxime Savary-Leblanc, Lola Burgueño, Jordi Cabot, Xavier Le Pallec, Sébastien Gérard
Publié dans: Journal of Software: Practice and Experience, 2022, ISSN 0038-0644
Éditeur: John Wiley & Sons Inc.
DOI: 10.1002/spe.3170

Impact of Computational Modeling on Transcatheter Left Atrial Appendage Closure Efficiency and Outcomes

Auteurs: Ole De Backer et al.
Publié dans: JACC Cardiovascular Interventions, 2023, ISSN 1876-7605
Éditeur: Elsevier
DOI: 10.1016/j.jcin.2023.01.008

User-driven diverse scenario exploration in model finders

Auteurs: Robert Clarisó, Jordi Cabot
Publié dans: Science of Computer Programming, 2021, ISSN 0167-6423
Éditeur: Elsevier BV
DOI: 10.1016/j.scico.2021.102745

A model-based infrastructure for the specification and runtime execution of self-adaptive IoT architectures

Auteurs: Iván Alfonso, Kelly Garcés, Harold Castro and Jordi Cabot
Publié dans: Computing, 2023, ISSN 0010-485X
Éditeur: Springer Verlag
DOI: 10.1007/s00607-022-01145-7

Self-adaptive architectures in IoT systems: a systematic literature review

Auteurs: Iván Alfonso, Kelly Garcés, Harold Castro and Jordi Cabot
Publié dans: Journal of Internet Services and Applications, 2021, ISSN 1867-4828
Éditeur: Springer Verlag
DOI: 10.1186/s13174-021-00145-8

Interpolation-Based Inference of Vessel Trajectory Waypoints from Sparse AIS Data in Maritime

Auteurs: Bakht Zaman, Dusica Marijan, Tetyana Kholodna
Publié dans: Journal of Marine Science and Engineering, 2023, ISSN 2077-1312
Éditeur: MDPI
DOI: 10.3390/jmse11030615

SafeWay: Improving the safety of autonomous waypoint detection in maritime using transformer and interpolation

Auteurs: Dogan Altan, Dusica Marijan, Tetyana Kholodna
Publié dans: Maritime Transport Research, 2023, ISSN 2666-822X
Éditeur: Elsevier
DOI: 10.1016/j.martra.2023.100086

IEDA-HGEO: Improved Energy Efficient with Clustering-Based Data Aggregation and Transmission Protocol for Underwater Wireless Sensor Networks

Auteurs: Shubham Joshi, TP Anithaashri, Ravi Rastogi, Gaurav Choudhary, Nicola Dragoni
Publié dans: MDPI-Energies, 2022, ISSN 1996-1073
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en16010353

Dealing with belief uncertainty in domain models

Auteurs: Lola Burgueño, Paula Muñoz, Robert Clarisó, Jordi Cabot, Sébastien Gérard, and Antonio Vallecillo
Publié dans: ACM Transactions on Software Engineering and Methodology, 2022, ISSN 1049-331X
Éditeur: Association for Computing Machinary, Inc.
DOI: 10.1145/3542947

Reference Architectures for Automotive Software

Auteurs: E. K Nakagawa, P. O. Antonino
Publié dans: Reference Architectures for Critical Domains: Industrial Uses and Impacts, 2022
Éditeur: Springer

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