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Proceedings of the Computational Methods in Systems and Software

CoMeSySo 2017: Cybernetics Approaches in Intelligent Systems pp 184–195Cite as

Event-Based Methodology for Real-Time Data Analysis in Cyber Physical Systems

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 661))

Abstract

Recent developments in wireless sensors enable a broad range of a new generation of applications, e.g., for health monitoring, environmental monitoring, smart cities, etc. However, the complexity of many signals and the need to process sensor data in real-time makes programming such applications a challenging task. This paper motivates the need to step-wise reduce the complexity of sensor data to enable application domain experts to tailor and develop (parts of) applications without having in depth programming skills. To achieve this goal, a methodology for application development with real-time sensor data processing is presented. The methodology is based on the concepts of physical and logical sensors, which can detect atomic and composite events. The combination of using the declarative approach of Complex Event Processing and modularization allows processing most data in the event space instead of signal processing. A use case for a home care application demonstrates the strength of this methodology.

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Notes

  1. 1.

    The concept of logical sensors has been originally introduced by Henderson et al. [3] (see Sect. 4 for more details).

References

  1. Siebig, S., Kuhls, S., Imhoff, M., Langgartner, J., Reng, M., Schölmerich, J., Gather, U., Wrede, C.E.: Collection of annotated data in a clinical validation study for alarm algorithms in intensive care a methodologic framework. J. Crit. Care 25(1), 128–135 (2010)

    Article  Google Scholar 

  2. Imhoff, M., Kuhls, S., Gather, U., Fried, R.: Smart alarms form medical devices in the OR and ICU. Best Pract. Res. Clin. Anesthesiol. 23(1), 39–50 (2009)

    Article  Google Scholar 

  3. Henderson, T., Shilcrat, E.: Logical sensor systems. J. Robot. Syst. 1(2), 169–193 (1984)

    Article  Google Scholar 

  4. Søberg, J.: CommonSens: a multimodal complex event processing system for automated home care. Ph.D. Thesis, Department of Informatics, University of Oslo, No. 1089 (2011). ISSN 1501-7710

    Google Scholar 

  5. Søberg, J., Goebel, V., Plagemann, T.: Detection of spatial events in CommonSens. In: 2nd International Workshop on Events in Multimedia, at ACM Multimedia, ACM (2010)

    Google Scholar 

  6. Søberg, J., Goebel, V., Plagemann, T.: CommonSens: personalisation of complex event processing in automated homecare. In: Intelligent Sensors, Sensor Networks and Information Processing. IEEE (2010)

    Google Scholar 

  7. Novelda (2015). https://www.xethru.com

  8. Zgheib, R., Conchon, E., Bastide, R.: Engineering IoT healthcare applications: towards a semantic data driven sustainable architecture. In: Giokas, K., Bokor, L., Hopfgartner, F. (eds.) eHealth 360°. LNCS, Social Informatics and Telecommunications Engineering, vol. 181. Springer, Berlin (2017)

    Chapter  Google Scholar 

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Acknowledgements

This work has been funded by the Regional Research Fund Oslofjord (TRIO Project Nr. 217737) and the Research Council of Norway (CESAR Project Nr. 250239).

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Authors and Affiliations

  1. University of Oslo, Oslo, Norway

    Stein Kristiansen, Vera Goebel & Thomas Plagemann

  2. Oslo University Hospital, Oslo, Norway

    Karl Øyri

Authors
  1. Stein Kristiansen
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  2. Vera Goebel
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  3. Karl Øyri
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  4. Thomas Plagemann
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Corresponding author

Correspondence to Stein Kristiansen .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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Kristiansen, S., Goebel, V., Øyri, K., Plagemann, T. (2018). Event-Based Methodology for Real-Time Data Analysis in Cyber Physical Systems. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Cybernetics Approaches in Intelligent Systems. CoMeSySo 2017. Advances in Intelligent Systems and Computing, vol 661. Springer, Cham. https://doi.org/10.1007/978-3-319-67618-0_17

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  • DOI: https://doi.org/10.1007/978-3-319-67618-0_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67617-3

  • Online ISBN: 978-3-319-67618-0

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