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Full-Text Articles in Engineering
Proximal Policy Optimization For Radiation Source Search, Philippe Erol Proctor, Christof Teuscher, Adam A. Hecht, Marek Osiński
Proximal Policy Optimization For Radiation Source Search, Philippe Erol Proctor, Christof Teuscher, Adam A. Hecht, Marek Osiński
Electrical and Computer Engineering Faculty Publications and Presentations
Rapid search and localization for nuclear sources can be an important aspect in preventing human harm from illicit material in dirty bombs or from contamination. In the case of a single mobile radiation detector, there are numerous challenges to overcome such as weak source intensity, multiple sources, background radiation, and the presence of obstructions, i.e., a non-convex environment. In this work, we investigate the sequential decision making capability of deep reinforcement learning in the nuclear source search context. A novel neural network architecture (RAD-A2C) based on the advantage actor critic (A2C) framework and a particle filter gated recurrent unit for …
Intelligent And Secure Fog-Aided Internet Of Drones, Jingjing Yao
Intelligent And Secure Fog-Aided Internet Of Drones, Jingjing Yao
Dissertations
Internet of drones (IoD), which utilize drones as Internet of Things (IoT) devices, deploys several drones in the air to collect ground information and send them to the IoD gateway for further processing. Computing tasks are usually offloaded to the cloud data center for intensive processing. However, many IoD applications require real-time processing and event response (e.g., disaster response and virtual reality applications). Hence, data processing by the remote cloud may not satisfy the strict latency requirement. Fog computing attaches fog nodes, which are equipped with computing, storage and networking resources, to IoD gateways to assume a substantial amount of …