Search Results for author: Hugh McCann

Found 2 papers, 0 papers with code

Cost-Effective Quasi-Parallel Sensing Instrumentation for Industrial Chemical Species Tomography

no code implementations20 Nov 2020 Godwin Enemali, Rui Zhang, Hugh McCann, Chang Liu

Although a fully parallel data acquisition (DAQ) and signal processing system can achieve these functionalities with maximised temporal response, it leads to a highly complex, expensive and power-consuming instrumentation system with high potential for inconsistency between the sampled beams due to the electronics alone.

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CSTNet: A Dual-Branch Convolutional Network for Imaging of Reactive Flows using Chemical Species Tomography

no code implementations8 Oct 2020 Yunfan Jiang, Jingjing Si, Rui Zhang, Godwin Enemali, Bin Zhou, Hugh McCann, Chang Liu

Chemical Species Tomography (CST) has been widely used for in situ imaging of critical parameters, e. g. species concentration and temperature, in reactive flows.

Image Reconstruction

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