Search Results - "Birch, Gabriel C"

An Uncertainty Quantification Framework for Counter Unmanned Aircraft Systems Using Deep Ensembles by Sahay, Rajeev, Stubbs, Jaclynn J., Brinton, Christopher G., Birch, Gabriel C.

“…The reliable detection and neutralization of unmanned aircraft systems (UAS), known as counter UAS (cUAS), is pivotal in restricted air spaces. The application…”
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Uncertainty Quantification-Based Unmanned Aircraft System Detection using Deep Ensembles by Sahay, Rajeev, Birch, Gabriel C., Stubbs, Jaclynn J., Brinton, Christopher G.

“…Robust and accurate unmanned aircraft system (UAS) detection is pivotal in restricted air spaces. Deep learning-based object detection has been proposed to…”
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Resilience-Based Performance Measures for Next-Generation Systems Security Engineering by Williams, Adam D., Adams, Thomas, Wingo, Jamie, Birch, Gabriel C., Caskey, Susan A., Fleming, Elizabeth S., Gunda, Thushara

“…Performance measures commonly used in systems security engineering tend to be static, linear, and have limited utility in addressing challenges to security…”
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Depth measurements through controlled aberrations of projected patterns by Birch, Gabriel C, Tyo, J Scott, Schwiegerling, Jim

“…Three-dimensional displays have become increasingly present in consumer markets. However, the ability to capture three-dimensional images in space confined…”
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Temporal Frequency Analysis: Target Isolation and Signal Optimization by Stubbs, Jaclynn J., Birch, Gabriel C., Woo, Bryana L., Kouhestani, Camron, Novick, David

“…Unmanned aircraft systems (UASs) have grown significantly within the private sector with ease of acquisition and platform capabilities far outstretching what…”
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Hyperspectral Shack-Hartmann test by Birch, Gabriel C, Descour, Michael R, Tkaczyk, Tomasz S

“…A hyperspectral Shack-Hartmann test bed has been developed to characterize the performance of miniature optics across a wide spectral range, a necessary first…”
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Optimizing a Compressive Imager for Machine Learning Tasks by Redman, Brian J., Calzada, Daniel, Wingo, Jamie, Quach, Tu-Thach, Galiardi, Meghan, Dagel, Amber L., LaCasse, Charles F., Birch, Gabriel C.

“…Images are often not the optimal data form to perform machine learning tasks such as scene classification. Compressive classification can reduce the size,…”
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A Multiplex Complex Systems Model for Engineering Security Systems by Williams, Adam D., Birch, Gabriel C.

“…Existing security models are highly linear and fail to capture the rich interactions that occur across security technology, infrastructure, cybersecurity, and…”
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Task-specific compressive optical system design through genetic algorithms by Galiardi, Meghan, Quach, Tu-Thach, Birch, Gabriel C., LaCasse, Charles F., Dagel, Amber L.

“…Alternative architectures for imaging devices which fuse the optical design with an algorithmic component enable inexpensive sensing systems optimized for…”
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Multilayer Network Models for Coordinating Orchestration of Systems Security Engineering by Williams, Adam D., Birch, Gabriel C., Caskey, Susan A., Fleming, Elizabeth S.

“…Systems security engineering (SSE) faces new internal (e.g., increased digitization) and external (e.g., adversary capabilities) obstacles as systems increase…”
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Interactive image and video classification using compressively sensed images by Stubbs, Jaclynn J., Pattichis, Marios S., Birch, Gabriel C.

“…The paper investigates the use of compressively sensed images in interactive image classification. To speed-up the classification process and avoid costly…”
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Insights for Systems Security Engineering from Multilayer Network Models by Williams, Adam D., Birch, Gabriel C., Caskey, Susan A., Fleming, Elizabeth S., Gunda, Thushara, Adams, Thomas, Wingo, Jamie

“…Next‐generation approaches for systems security engineering will need to address challenges stemming from complex risk environments, innovative adversaries,…”
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Physical security assessment with convolutional neural network transfer learning by Stubbs, Jaclynn J., Birch, Gabriel C., Woo, Bryana L., Kouhestani, Camron G.

“…Deep learning techniques have demonstrated the ability to perform a variety of object recognition tasks using visible imager data; however, deep learning has…”
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Counter Unmanned Aerial System Security Education by Stubbs, Jaclynn J., Kouhestani, Camron G., Woo, Bryana L., Birch, Gabriel C.

“…Unmanned aircraft system (UAS) technologies have gained immense popularity in the commercial sector and have enabled capabilities that were not available just…”
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Unmanned aerial system detection and assessment through temporal frequency analysis by Woo, Bryana L., Birch, Gabriel C., Stubbs, Jaclynn J., Kouhestani, Camron

“…There is a desire to detect and assess unmanned aerial systems (UAS) with a high probability of detection and low nuisance alarm rates in numerous fields of…”
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Physical Security Assessment Using Temporal Machine Learning by Galiardi, Meghan A., Verz, Stephen J., Birch, Gabriel C., Stubbs, Jaclynn J., Woo, Bryana L., Kouhestani, Camron G.

“…Nuisance and false alarms are prevalent in modern physical security systems and often overwhelm the alarm station operators. Deep learning has shown progress…”
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Human Factors in Security by Speed, Ann E., Woo, Bryana L., Kouhestani, Camron G., Stubbs, Jaclynn J., Birch, Gabriel C.

“…Physical security systems (PSS) and humans are inescapably tied in the current physical security paradigm. Yet, physical security system evaluations often end…”
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Computational optical physical unclonable functions by Birch, Gabriel C., Woo, Bryana L., LaCasse, Charles F., Stubbs, Jaclynn J., Dagel, Amber L.

“…Physical unclonable functions (PUFs) are devices which are easily probed but difficult to predict. Optical PUFs have been discussed within the literature, with…”
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Computational and design methods for advanced imaging by Birch, Gabriel C

“…This dissertation merges the optical design and computational aspects of imaging systems to create novel devices that solve engineering problems in optical…”
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