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Hae Young Noh ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Dong, Yiwen / Wu, Yuyan / Kim, Sung Eun / Schadl, Kornél / Rose, Jessica / Noh, Hae Young (2025): Modeling Foot–Floor Interactions during Walking for Normal and Abnormal Gaits. In: Journal of Engineering Mechanics (ASCE), v. 151, n. 1 (Januar 2025).

    https://doi.org/10.1061/jenmdt.emeng-7639

  2. Liu, Jingxiao / Yuan, Siyuan / Luo, Bin / Biondi, Biondo / Noh, Hae Young (2023): Turning Telecommunication Fiber-Optic Cables into Distributed Acoustic Sensors for Vibration-Based Bridge Health Monitoring. In: Structural Control and Health Monitoring, v. 2023 (Februar 2023).

    https://doi.org/10.1155/2023/3902306

  3. Liu, Jingxiao / Xu, Susu / Berges, Mario / Noh, Hae Young (2022): HierMUD: Hierarchical multi-task unsupervised domain adaptation between bridges for drive-by damage diagnosis. In: Structural Health Monitoring, v. 22, n. 3 (September 2022).

    https://doi.org/10.1177/14759217221081159

  4. Noh, Hae Young / Nair, Krishnan K. / Kiremidjian, Anne S. / Loh, C. H. (2009): Application of time series based damage detection algorithms to the benchmark experiment at the National Center for Research on Earthquake Engineering (NCREE) in Taipei, Taiwan. In: Smart Structures and Systems, v. 5, n. 1 (Januar 2009).

    https://doi.org/10.12989/sss.2009.5.1.095

  5. Fagert, Jonathon / Mirshekari, Mostafa / Pan, Shijia / Lowes, Linda / Iammarino, Megan / Zhang, Pei / Noh, Hae Young (2021): Structure- and Sampling-Adaptive Gait Balance Symmetry Estimation Using Footstep-Induced Structural Floor Vibrations. In: Journal of Engineering Mechanics (ASCE), v. 147, n. 2 (Februar 2021).

    https://doi.org/10.1061/(asce)em.1943-7889.0001889

  6. Velibeyoglu, Irem / Noh, Hae Young / Pozzi, Matteo (2019): Empirical investigation of regression models for predicting system behavior in air handling units. In: Science and Technology for the Built Environment, v. 25, n. 3 (März 2019).

    https://doi.org/10.1080/23744731.2018.1523660

  7. Velibeyoglu, Irem / Noh, Hae Young / Pozzi, Matteo (2019): A graphical approach to assess the detectability of multiple simultaneous faults in air handling units. In: Energy and Buildings, v. 184 (Februar 2019).

    https://doi.org/10.1016/j.enbuild.2018.12.008

  8. Falcão, João / Ruiz, Carlos / Pan, Shijia / Noh, Hae Young / Zhang, Pei (2020): FAIM: Vision and Weight Sensing Fusion Framework for Autonomous Inventory Monitoring in Convenience Stores. In: Frontiers in Built Environment, v. 6 (Januar 2020).

    https://doi.org/10.3389/fbuil.2020.568372

  9. Pan, Shijia / Berges, Mario / Rodakowski, Juleen / Zhang, Pei / Noh, Hae Young (2020): Fine-Grained Activity of Daily Living (ADL) Recognition Through Heterogeneous Sensing Systems With Complementary Spatiotemporal Characteristics. In: Frontiers in Built Environment, v. 6 (Januar 2020).

    https://doi.org/10.3389/fbuil.2020.560497

  10. Mirshekari, Mostafa / Fagert, Jonathon / Pan, Shijia / Zhang, Pei / Noh, Hae Young (2020): Step-Level Occupant Detection across Different Structures through Footstep-Induced Floor Vibration Using Model Transfer. In: Journal of Engineering Mechanics (ASCE), v. 146, n. 3 (März 2020).

    https://doi.org/10.1061/(asce)em.1943-7889.0001719

  11. Drira, Slah / Reuland, Yves / Pai, Sai G. S. / Noh, Hae Young / Smith, Ian F. C. (2019): Model-Based Occupant Tracking Using Slab-Vibration Measurements. In: Frontiers in Built Environment, v. 5 (November 2019).

    https://doi.org/10.3389/fbuil.2019.00063

  12. Xu, Susu / Zhang, Lin / Zhang, Pei / Noh, Hae Young (2018): An Information-Theoretic Approach for Indirect Train Traffic Monitoring Using Building Vibration. In: Frontiers in Built Environment, v. 3 (Februar 2018).

    https://doi.org/10.3389/fbuil.2017.00022

  13. Pan, Shijia / Xu, Susu / Mirshekari, Mostafa / Zhang, Pei / Noh, Hae Young (2018): Collaboratively Adaptive Vibration Sensing System for High-fidelity Monitoring of Structural Responses Induced by Pedestrians. In: Frontiers in Built Environment, v. 3 (Februar 2018).

    https://doi.org/10.3389/fbuil.2017.00028

  14. Park, Seung-Keun / Noh, Hae Young (2017): Updating Structural Parameters with Spatially Incomplete Measurements Using Subspace System Identification. In: Journal of Engineering Mechanics (ASCE), v. 143, n. 7 (Juli 2017).

    https://doi.org/10.1061/(asce)em.1943-7889.0001226

  15. Eybpoosh, Matineh / Berges, Mario / Noh, Hae Young (2016): Sparse representation of ultrasonic guided-waves for robust damage detection in pipelines under varying environmental and operational conditions. In: Structural Control and Health Monitoring, v. 23, n. 2 (Februar 2016).

    https://doi.org/10.1002/stc.1776

  16. Noh, Hae Young / Lallemant, David / Kiremidjian, Anne S. (2015): Development of empirical and analytical fragility functions using kernel smoothing methods. In: Earthquake Engineering and Structural Dynamics, v. 44, n. 8 (10 Juli 2015).

    https://doi.org/10.1002/eqe.2505

  17. Noh, Hae Young / Lignos, Dimitrios G. / Nair, K. Krishnan / Kiremidjian, Anne S. (2012): Development of fragility functions as a damage classification/prediction method for steel moment-resisting frames using a wavelet-based damage sensitive feature. In: Earthquake Engineering and Structural Dynamics, v. 41, n. 4 (10 April 2012).

    https://doi.org/10.1002/eqe.1151

  18. Noh, Hae Young / Nair, K. Krishnan / Lignos, Dimitrios G. / Kiremidjian, Anne S. (2011): Use of Wavelet-Based Damage-Sensitive Features for Structural Damage Diagnosis Using Strong Motion Data. In: Journal of Structural Engineering (ASCE), v. 137, n. 10 (Oktober 2011).

    https://doi.org/10.1061/(asce)st.1943-541x.0000385

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