(f) Future work by the authors will include the formulation of a refined hollow section confinement model for various section geometries, transverse reinforcement configurations, and axial loads.
The signal model for this section is as follows.
In "The gravity model for trade" section of this paper, we present the gravity model for trade between zones.
"Real‑time data distribution model for robots" section proposes a real-time data distribution model for robots.
The IGMRF prior model and estimation of IGMRF parameters are addressed in the "IGMRF model for disparity" section.
Then in "A reference model for BCS" section we propose the Bella Coles Kemp model as an abstract model to anchor our discussions in BCS.
In "Sparse model for disparity" section, we discuss the sparse autoencoder for learning and inferring the sparse representation of disparities and then discuss the formation of sparsity prior.
To realize this goal, as shown in "Real‑time data distribution model for robots" section, two kinds of topics are strictly distinguished in our data distribution model, and the APIs of the general topic are identical with those in ROS.
We also defined a number of dummy explanatory variables (largely prepared manually, meaning that we coded these variables ourselves for all the zones), see list of variables following Eq. (1) in "The gravity model for trade" section.
