Search Results for author: Jingjing Si

Found 3 papers, 0 papers with code

Hierarchical Temperature Imaging Using Pseudo-Inversed Convolutional Neural Network Aided TDLAS Tomography

no code implementations5 Jun 2021 Jingjing Si, Guoliang Li, Yinbo Cheng, Rui Zhang, Godwin Enemali, Chang Liu

As an in situ combustion diagnostic tool, Tunable Diode Laser Absorption Spectroscopy (TDLAS) tomography has been widely used for imaging of two-dimensional temperature distributions in reactive flows.

Computational Efficiency Image Reconstruction

Target-Dependent Chemical Species Tomography with Hybrid Meshing of Sensing Regions

no code implementations10 Feb 2021 Rui Zhang, Jingjing Si, Godwin Enemali, Yong Bao, Chang Liu

The proposed scheme was both numerically and experimentally validated using a CST sensor with 32 laser beams using a variety of computational tomographic algorithms.

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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