Explosion Data Fusion of Acoustic, Barometric, and Accelerometric data collected on
This is a slide deck for a student to use at the annual NA22 program review meeting.
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Results for “infrasound”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Towards Explosive Signal Classification at the Edge
This is a poster for a student to use at the NA22 UPR university meeting.
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Automated Vehicle Detection in a Nuclear Facility Using Low-Frequency Acoustic Sensors
This article presents an analysis of the method of construction and results for a classifier intended to identify vehicles using low-frequency acoustic data collected by a dis-tributed sensor network. This data is collected as part of a venture intended to explore data analytics and multisensor fusion techniques for the monitoring of activities at a test bed nuclear facility located at Oak Ridge National Laboratory in Oak Ridge, Tennessee. We describe the associated target signature and design a classifier based on a multilayer perceptron, followed by an analysis of its results. We discuss how overall accuracy is not the only consideration in constructing this classifier, and how for this application, it is actually desirable to operate at a lower level of accuracy in exchange for a reduction in the false alarm rate, as well as how this relates to the actual deployment of the classifier in practical use.
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