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Introduction to Dynamic Data Driven Applications Systems

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Handbook of Dynamic Data Driven Applications Systems

Abstract

Dynamic Data Driven Application Systems (DDDAS) is a systems design framework that focuses on developments that incorporate high-dimensional physical models, run-time measurements, statistical methods, and computation architectures. One of the foremost applications of DDDAS successes was environmental assessment of natural disasters such as wild fire monitoring and volcanic plume detection. Monitoring the atmosphere with DDDAS principles has evolved into applications for space situational awareness, unmanned aerial vehicle (UAV) design, and biomedical applications. Recent efforts reflect the digital age of information management such as multimedia analysis, power grid control, and biohealth concerns. Underlying a majority of the DDDAS developments are advances in sensor design, signal processing and filtering, as well as computational architectures. The book highlights some of these advances for the reader, with more information available at the DDDAS society’s website: www.1dddas.org.

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Acknowledgements

This work is supported by the DDDAS program of the Air Force Office of Scientific Research (AFOSR).

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Authors and Affiliations

  1. Air Force Office of Scientific Research, Air Force Research Laboratory, Arlington, VA, USA

    Erik Blasch

  2. Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA

    Dennis Bernstein

  3. Air Force Research Laboratory, WPAFB, OH, USA

    Murali Rangaswamy

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  1. Erik Blasch
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Correspondence to Erik Blasch .

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  1. Air Force Office of Scientific Research, Air Force Research Laboratory, Arlington, VA, USA

    Erik Blasch

  2. Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA

    Sai Ravela

  3. Information Directorate, Air Force Research Laboratory, Rome, NY, USA

    Alex Aved

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Blasch, E., Bernstein, D., Rangaswamy, M. (2018). Introduction to Dynamic Data Driven Applications Systems. In: Blasch, E., Ravela, S., Aved, A. (eds) Handbook of Dynamic Data Driven Applications Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-95504-9_1

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