Now showing items 1-2 of 2
A Bio-inspired Plume Tracking Algorithm for Mobile Sensing Swarms in Turbulent Flow
(Georgia Institute of Technology, 2013-05)
We develop a plume tracking algorithm for a swarm of mobile sensing agents in turbulent flow. Inspired by blue crabs, we propose a stochastic model for plume spikes based on the Poisson counting process, which captures the ...
Diagnosis and Prognosis of Scrubber Faults for Underwater Rebreathers based on Stochastic Event Models
(Georgia Institute of Technology, 2011-06)
Imperfect CO₂ removal mechanisms of CO₂ scrubbers often lead to the existence of CO₂ in gas inhaled by a diver from underwater rebreathers. This may cause CO₂ related rebreather faults and subsequently would increase ...