Resilience supported system for innovative water monitoring technology

Koorosh Aslansefat, Mohammad Hossein Ghodsirad, José Barata, Javad Jassbi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The level of intelligence in monitoring & controlling systems are increasing dramatically. The critical issue for an autonomous resilient system is detecting the anomalous behavior through standard patterns to react properly and on time. In cyber-physical systems with the interaction of humans and machines, this will be more complicated. Deceptive alarm is a common dilemma in real systems which could reduce awareness and readiness and accordingly resilience of the system. In this paper, Markov modeling technique is used to predict human behaviors patterns to distinguish between human anomalous behavior and system failure. The data is from the real experience of implementing innovative monitoring system in a five-star hotel which was part of the project of gamification for changing guests’ behavior. The idea was to develop Resilience Supported System to decrease the fault error and alarms and to increase the reliability and resilience of the system.

Original languageEnglish
Title of host publicationTechnological Innovation for Resilient Systems - 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, Proceedings
EditorsL. Camarinha-Matos, K. Adu-Kankam, M. Julashokri
Place of PublicationCham
PublisherSpringer
Pages73-80
Number of pages8
ISBN (Electronic)978-3-319-78574-5
ISBN (Print)978-3-319-78573-8
DOIs
Publication statusPublished - 2018
Event9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018 - Costa de Caparica, Portugal
Duration: 2 May 20184 May 2018

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer
Volume521
ISSN (Print)1868-4238

Conference

Conference9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018
CountryPortugal
CityCosta de Caparica
Period2/05/184/05/18

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Keywords

  • Behavior-change systems
  • Deceptive alarm
  • Markov modeling
  • Performance assessment
  • Resilience supported system

Cite this

Aslansefat, K., Ghodsirad, M. H., Barata, J., & Jassbi, J. (2018). Resilience supported system for innovative water monitoring technology. In L. Camarinha-Matos, K. Adu-Kankam, & M. Julashokri (Eds.), Technological Innovation for Resilient Systems - 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, Proceedings (pp. 73-80). (IFIP Advances in Information and Communication Technology; Vol. 521). Cham: Springer. https://doi.org/10.1007/978-3-319-78574-5_7