Mr. Joud N. Satme Profile

Joud N. Satme

at Univ. of South Carolina

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Author

Publications (6)

Proceedings Article | 7 June 2024 Presentation + Paper

Edge processing for frequency identification on drone-deployed structural health monitoring sensor nodes

Ryan Yount, Joud Satme, David Wamai, Austin R. Downey

Proceedings Volume 13055, 130550L (2024) https://doi.org/10.1117/12.3013712

KEYWORDS: Sensors, Structural health monitoring, Vibration, Data processing, Detection and tracking algorithms, Computer hardware, Unmanned aerial vehicles, Bridges, Structural monitoring, Profiling

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For rapid civil infrastructure assessment following natural and man-made emergencies, the utilization of minimally invasive and cost-effective drone deployable sensor packages has the potential to become a valuable tool. Although compact sensors with wireless data transfer capabilities have proven effective in monitoring the structural dynamics of infrastructure, these systems require data processing to occur externally, frequently off-site. These extra steps impede the high-speed assessment of a structure’s state. Difficulties can arise when the transmission is unfeasible due to degraded communication links during natural or man-made emergencies. Additionally, off-site data processing can add unneeded interruptions to actions that can be taken by emergency personnel after infrastructure damage. To enhance the effectiveness of sensor packages in expediting infrastructure assessment, incorporating real-time data analysis through embedded edge computing techniques emerges as a promising solution. The objective of this work is to demonstrate on-device data processing for frequency-based structural health monitoring techniques using drone-deployable sensors. This approach advances the effectiveness of drone-deployable sensors in rapid infrastructure assessment by mitigating their susceptibility to errors or delays in data communications. The proposed approach computes the frequency components of vibration measurements taken from a structure of interest, for example, the monitoring of a bridge immediately following a damaging event such as a flood. This work presents contributions in terms of outlining a methodology that emphasizes the hardware-based implementation of edge computing algorithms and examines the required on-device performance and resource utilization for structural health monitoring at the edge. The execution time for the sensor’s edge computing functions was profiled, resulting in an additional 9.77 seconds per test, an advancement over traditional transmit and analyze methods.

Proceedings Article | 9 May 2024 Presentation + Paper

Online model-based structural damage detection in electronic assemblies

Emmanuel Ogunniyi, Joud Satme, Austin R. Downey

Proceedings Volume 12946, 129461G (2024) https://doi.org/10.1117/12.3010987

KEYWORDS: Finite element methods, Vibration, Model based design, Damage detection, Performance modeling, Matrices, Printing, Modal analysis, Error analysis, Aerospace engineering

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Proceedings Article | 18 April 2023 Presentation + Paper

Non-linear vibration signal compensation technique for UAV-deployable sensor packages with edge computing

Joud Satme, Daniel Coble, Hung-Tien Huang, Austin R. Downey, Jason Bakos

Proceedings Volume 12486, 124861M (2023) https://doi.org/10.1117/12.2658563

KEYWORDS: Sensors, Education and training, Data modeling, Vibration, Structural health monitoring, Performance modeling, Accelerometers, Systems modeling, Signal to noise ratio, Signal attenuation

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Proceedings Article | 18 April 2023 Presentation + Paper

Stand-alone geophone monitoring system for earthen levees

Puja Chowdhury, Joud Satme, Malichi Flemming, Austin R. Downey, Mohamed Elkholy, Jasim Imran, Mohammad Sadik Khan

Proceedings Volume 12486, 124860T (2023) https://doi.org/10.1117/12.2658552

KEYWORDS: Sensors, Moisture, Humidity, Environmental sensing, Environmental monitoring, Data storage, Batteries, Vibration, Equipment, Air temperature

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Proceedings Article | 20 April 2022 Poster + Paper

Deterministic and low-latency time-series forecasting of nonstationary signals

Puja Chowdhury, Vahid Barzegar, Joud Satme, Austin R. Downey, Simon Laflamme, Jason Bakos, Chao Hu

Proceedings Volume 12043, 120431D (2022) https://doi.org/10.1117/12.2629025

KEYWORDS: Field programmable gate arrays, Clocks, Neurons, Signal to noise ratio, Structural health monitoring, Sensors, Detection and tracking algorithms, Data acquisition, Damage detection, Algorithm development

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Proceedings Article | 18 April 2022 Presentation + Paper

A compensation technique for accurate acceleration measurements using a UAV deployable and retrievable sensor package

Joud Satme, Corinne Smith, Austin R. J. Downey, Jason Bakos, Nikolaos Vitzilaios, Dimitris Rizos

Proceedings Volume 12046, 120460T (2022) https://doi.org/10.1117/12.2612945

KEYWORDS: Sensors, Unmanned aerial vehicles, Signal to noise ratio, Electronic filtering, Structural health monitoring, Signal detection, Process modeling, Microelectromechanical systems, Magnetic sensors, Algorithm development

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Showing 5 of 6 publications

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