Anomaly detection and fault disambiguation in large flight data: A multi-modal deep auto-encoder approach
Flight data recorders provide large volumes of heterogeneous data from arrays of sensors
on-board to perform fault diagnosis. Challenges such as large data volumes, lack of labeled …
on-board to perform fault diagnosis. Challenges such as large data volumes, lack of labeled …
Surveying the hardware trojan threat landscape for the internet-of-things
V Venugopalan, CD Patterson�- Journal of Hardware and Systems�…, 2018 - Springer
The Internet-of-Things (IoT) has emerged as one of the most innovative multidisciplinary
paradigms combining heterogeneous sensors, software architectures, embedded hardware …
paradigms combining heterogeneous sensors, software architectures, embedded hardware …
Multi-modal sensor registration for vehicle perception via deep neural networks
M Giering, V Venugopalan…�- 2015 IEEE High�…, 2015 - ieeexplore.ieee.org
The ability to simultaneously leverage multiple modes of sensor information is critical for
perception of an automated vehicle's physical surroundings. Spatio-temporal alignment of …
perception of an automated vehicle's physical surroundings. Spatio-temporal alignment of …
Deep learning for automated occlusion edge detection in RGB-D frames
Occlusion edges correspond to range discontinuity in a scene from the point of view of the
observer. Detection of occlusion edges is an important prerequisite for many machine vision …
observer. Detection of occlusion edges is an important prerequisite for many machine vision …
Detecting and thwarting hardware trojan attacks in cyber-physical systems
V Venugopalan, CD Patterson…�- 2016 IEEE Conference�…, 2016 - ieeexplore.ieee.org
Cyber-physical system integrity requires both hardware and software security. Many of the
cyber attacks are successful as they are designed to selectively target a specific hardware or …
cyber attacks are successful as they are designed to selectively target a specific hardware or …
Enhancing trust in reconfigurable hardware systems
V Venugopalan - 2017 - vtechworks.lib.vt.edu
A Cyber-Physical System (CPS) is a large-scale, distributed, embedded system, consisting
of various components that are glued together to realize control, computation and …
of various components that are glued together to realize control, computation and …
Evaluating latency and throughput bound acceleration of FPGAs and GPUs for adaptive optics algorithms
V Venugopalan�- 2014 IEEE High Performance Extreme�…, 2014 - ieeexplore.ieee.org
General purpose extremely large aperture optical/infrared telescopes are instrumental in
vastly advancing the astrophysical knowledge on a variety of subjects such as star formation, …
vastly advancing the astrophysical knowledge on a variety of subjects such as star formation, …
GPU acceleration of iterative physical optics-based electromagnetic simulations
V Venugopalan, � Tokg�z�- 2015 IEEE High Performance�…, 2015 - ieeexplore.ieee.org
High fidelity prediction of the link budget between a pair of transmitting and receiving antennas
in dense and complex environments is computationally very intensive at high frequencies…
in dense and complex environments is computationally very intensive at high frequencies…
Occlusion edge detection in RGB-D frames using deep convolutional networks
Occlusion edges in images which correspond to range discontinuity in the scene from the
point of view of the observer are an important prerequisite for many vision and mobile robot …
point of view of the observer are an important prerequisite for many vision and mobile robot …
Architectural refinements for enhancing trust and securing cyber-physical systems
V Venugopalan, CD Patterson�- 2017 IEEE SmartWorld�…, 2017 - ieeexplore.ieee.org
A cyber-physical system primarily defines the interaction of the physical world with a system
built with components drawn from the computational, communication and control system …
built with components drawn from the computational, communication and control system …