HERMES Project

A formal framework based on the Web of Things and Edge Computing for the definition, discovery, and data processing of cyber-physical components 

Grant PID2021-124124OB-I00 funded by the Spanish Government MCIN/AEI/10.13039/501100011033 and the "ERDF A way of making Europe”.

Publications


J.A. Llopis, A.J. Fernández-García, J. Criado, L. Iribarne, A. Corral. (2024): A data model for enabling deep learning practices on discovery services of cyber-physical systems. Software: Practice & Experience, First published: 04 March 2024, Wiley. ISSN: 0038-0644. DOI

[Abstract] [BibTeX] [Paper] [Material]


J.Al. Llopis, A.J. Fernández-García, J. Criado, L. Iribarne, R. Ayala, J.Z. Wang. (2023). A deep learning model for natural language querying in Cyber–Physical Systems. Internet of Things, Volume 24, December 2023, 100922 (Elsevier). ISSN: 2543-1536. DOI

[Abstract] [BibTeX] [Paper] [Material]


J.A. Llopis, M. Mena, J. Criado, L. Iribarne, A. Corral. (2023): A faceted discovery model architecture for Cyber-Physical Systems in the Web of Things. Computer Science and Information Systems, Volume 20, Issue 4, Pages: 1639-1659. ISSN: 1820-0214. DOI

[Abstract] [BibTeX] [Paper] [Material]


M. Mena, J. Criado, L. Iribarne, A. Corral, R. Chbeir, Y. Manolopoulos. (2023): Towards high-availability cyber-physical systems using a microservice architecture. Computing, 105:1745–1768, Springer. ISSN: 0010-485X. DOI

[Abstract] [BibTeX] [Paper] [Material]


F. García-García, A. Corral, L. Iribarne, M. Vassilakopoulos. (2023):  Efficient distributed algorithms for distance join queries in spark-based spatial analytics systems. International Journal of General Systems, 52(3):206-250, Taylor & Francis. ISSN: 0308-1079. DOI

[Abstract] [BibTeX] [Paper] [Material]


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