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Edward Eskew
Doctoral Candidate
SPIE Involvement:
Author
Publications (5)
Proceedings Article | 5 April 2017 Presentation + Paper
Optimal sensor placement for parameter estimation of bridges
Proceedings Volume 10170, 101702F (2017) https://doi.org/10.1117/12.2261244
KEYWORDS: Sensors, Bridges, Structural health monitoring, Genetic algorithms, Modal analysis, Sensor networks, Error analysis, Shape analysis, Lithium, Signal to noise ratio, Condition numbers
Proceedings Article | 5 April 2017 Paper
Automated vehicle counting using image processing and machine learning
Sean Meany, Edward Eskew, Rosana Martinez-Castro, Shinae Jang
Proceedings Volume 10170, 101703G (2017) https://doi.org/10.1117/12.2261251
KEYWORDS: Video, Image processing, Machine learning, Roads, Sensor networks, Cameras, Binary data, Image analysis, Detection and tracking algorithms, Algorithm development
Proceedings Article | 20 April 2016 Paper
Progressive collapse analysis using updated models for alternate path analysis after a blast
Edward Eskew, Shinae Jang, Kelly Bertolaccini
Proceedings Volume 9803, 98033Y (2016) https://doi.org/10.1117/12.2219302
KEYWORDS: Performance modeling, Structural engineering, Defense and security, Vibrometry, Computer simulations, Failure analysis, Buildings, Numerical simulations, Sensor performance, Structural health monitoring, Genetic algorithms, Safety, Analytical research, Structural design, Nonlinear dynamics
Proceedings Article | 1 April 2015 Paper
Rapid condition assessment of structural condition after a blast using state-space identification
Proceedings Volume 9437, 94372B (2015) https://doi.org/10.1117/12.2084278
KEYWORDS: Performance modeling, Vibrometry, Error analysis, Numerical simulations, Optical inspection, Visual process modeling, Visualization, Sensors, Computing systems, System identification
Proceedings Article | 8 March 2014 Paper
Experimental validation of a modal flexibility-based damage detection method for a cyber-physical system
Rosana Martinez-Castro, Edward Eskew, Shinae Jang
Proceedings Volume 9061, 90612E (2014) https://doi.org/10.1117/12.2045241
KEYWORDS: Damage detection, Matrices, Control systems, Environmental sensing, Bridges, Sensors, Actuators, Environmental monitoring, Computing systems, Machine learning
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