Experimental Techniques: Data Analysis, Bias and Uncertainty

Presentations

• Inferring Physical Laws from Data: Disambiguating Gravity from Fluid Forces on Falling Objects

  ORAL

  Nov. 25, 2019, 5:16 PM – Nov. 25, 2019, 5:29 PM

  Authors

  • Brian De Silva

    • University of Washington, department of Applied Mathematics

  • David Higdon

    • Virginia Polytechnic Institute and State University, department of Statistics

  • Steven Brunton

    • University of Washington
    • University of Washington, Seattle
    • University of Washington, department of Mechanical Engineering

  • J. Nathan Kutz

    • University of Washington
    • University of Washington, department of Applied Mathematics
    • Department of Applied Mathematics, University of Washington, Seattle, WA

  View abstract →

• Data Analysis of Hybrid Rocket Fuels Combustion Tests

  ORAL

  Nov. 25, 2019, 5:29 PM – Nov. 25, 2019, 5:42 PM

  Authors

  • Alexander Ruettgers

    • German Aerospace Center (DLR), Simulation and Software Technology

  • Anna Petrarolo

    • German Aerospace Center (DLR), Institute of Space Propulsion

  • Mario Kobald

    • German Aerospace Center (DLR), Institute of Space Propulsion

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• Data assimilation method to de-noise and de-filter particle image velocimetry data

  ORAL

  Nov. 25, 2019, 5:42 PM – Nov. 25, 2019, 5:55 PM

  Authors

  • Roland Bouffanais

    • Singapore University of Technology and Design

  • Jurriaan J J Gillissen

    • University College London
    • Department of Mathematics, University College London,

  • Dick Yue

    • Massachusetts Institute of Technology

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• State-space Optimized Dynamic Mode Decomposition for Noisy Data

  POSTER

  Nov. 25, 2019, 5:55 PM – Nov. 25, 2019, 6:08 PM

  Authors

  • Taku Nonomura

    • Tohoku University, Presto, JST

  • Kazuyuki Nakamura

    • Meiji University, Presto, JST

  • Naoto Nakano

    • Kyoto University

  • Steven Brunton

    • University of Washington
    • University of Washington, Seattle
    • University of Washington, department of Mechanical Engineering

  • J. Nathan Kutz

    • University of Washington
    • University of Washington, department of Applied Mathematics
    • Department of Applied Mathematics, University of Washington, Seattle, WA

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• 4D Flow MRI Bias Error Estimation

  ORAL

  Nov. 25, 2019, 6:08 PM – Nov. 25, 2019, 6:21 PM

  Authors

  • Sean Rothenberger

    • Weldon School of Biomedical Engineering, Purdue University

  • Jiacheng Zhang

    • School of Mechanical Engineering, Purdue University

  • Melissa Brindise

    • School of Mechanical Engineering, Purdue University

  • Susanne Schnell

    • Feinberg School of Medicine, Northwestern University

  • Pavlos Vlachos

    • School of Mechanical Engineering, Purdue University

  • Vitaliy Rayz

    • Weldon School of Biomedical Engineering, Purdue University

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• Unscented Kalman filter (UKF) based nonlinear parameter estimation for a turbulent boundary layer:a data assimilation framework

  ORAL

  Nov. 25, 2019, 6:21 PM – Nov. 25, 2019, 6:34 PM

  Authors

  • Zhao Pan

    • University of Waterloo

  • Yang Zhang

    • Florida State University
    • Florida Center for Advanced Aero-Propulsion, Tallahassee, Florida

  • Jonas Gustavsson

    • Florida State University

  • Jean-Pierre Hickey

    • University of Waterloo

  • Louis Cattafesta

    • Florida State University
    • Florida Center for Advanced Aero-Propulsion, Tallahassee, Florida

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• Power Law Decay Estimation for Turbulent Spectral Densities

  ORAL

  Nov. 25, 2019, 6:34 PM – Nov. 25, 2019, 6:47 PM

  Authors

  • Carl R. Hart

    • U.S. Army Engineering Research and Development Center, Cold Regions Research and Engineering Laboratory

  • Gregory Lyons

    • U.S. Army Engineer Research and Development Center, Construction Engineering Research Laboratory
    • U.S. Army Engineer Research And Development Center, Construction Engineering Research Laboratory

  • Nathan E. Murray

    • The University of Mississippi, National Center for Physical Acoustics

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• Identification of Dynamic Atmospheric Conditions via Total Variation

  ORAL

  Nov. 25, 2019, 6:47 PM – Nov. 25, 2019, 7:00 PM

  Authors

  • Nicholas Hamilton

    • National Renewable Energy Laboratory

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• Using Machine Learning to Determine the Velocity Information Content in OH-PLIF Images

  ORAL

  Nov. 25, 2019, 7:00 PM – Nov. 25, 2019, 7:13 PM

  Authors

  • Shivam Barwey

    • University of Michigan

  • Malik Hassanaly

    • University of Michigan

  • Venkat Raman

    • University of Michigan
    • University of Michigan, Ann Arbor

  • Adam Steinberg

    • Georgia Institute of Technology

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