Note that (ua, va) and (uc, vc) represent the velocity at x and y directions pertaining to the analytical and computational velocity image grid respectively.
Using the same experimental setup in the previous section, we have analyzed the accuracy of profile of computational velocity decline because of the addition of noise to images used in tracking, and try to understand the balance between suppression of noise and loss of signal features due to smoothing.
The accuracy of profile of computational velocities can be increased by more sampling.
For each river cross section along the computational domain, maximum velocity and specific discharge are identified to assist in estimating the stability of the river reach and, thus, the feasibility of installing an in-stream turbine.
The x coordinates for the bottom of all the fences are equal to 0. Boundary-inlet of the computational domain is "velocity inlet" and the distance to the bottom of the fence is 20H.
To reduce the computational complexity the mean velocity estimated at each position is used by taking the sum over all velocities (vx, vy) at one MTModel location where each discrete measure is weighted by its respective activity uxMT.
Having presented the computational process the various velocity, motion and joint constraint force characteristics of the anchor, the ship and the other elements are monitored in the time domain for the duration of the retardation process.
The computational simulation of gas velocity, temperature profile and pressure in the reaction chamber were conducted with varying process variables (i.e. temperature and dilute gas addition).
In the computational space, the Cartesian velocity components and the pressure are defined at the center of a control volume, while the volume fluxes are defined at the mid-point on their corresponding cell faces.
The image and sampling configurations have been set in such a way that the computational profile of the velocity tracking clearly deviates from the analytical one and can provide a good illustration of how the track density can affect the motion estimation algorithm.
