1 to 10 of 14 Results
Python Source Code - 13.8 KB -
MD5: 54b8ee2fc3c607623a1df744d3968dd3
Here, the respective folders are searched for the results pertaining to the CFD and experimental results. Make sure to have the results from the trajectory data stored in their seperate folders. Eventually, all different Stokes numbers will be calculated.
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Python Source Code - 2.0 KB -
MD5: eef518784b2319f8b61225a79d919bf5
This code combines all the individual floor hit results for the respective experiments. |
Python Source Code - 2.9 KB -
MD5: d3ef538d532367b301e2acf53243be1b
This code is used to determine the amount contacts between the Lagrangian Particle (LP) and the floor of the vat. |
Python Source Code - 1.9 KB -
MD5: 5da0517bb4e1f3f0adc7cab79e414dcd
This code combines all the individual floor hit results for the respective experiments. |
Python Source Code - 4.5 KB -
MD5: 197e6880dbda330977ba1e3532119f9b
This code calculates the heat maps standard deviation and recalculates it to reflect the uncertainty in a 10x10 grid based on the numpy positional data that are saved into one specific directory which is to be defined. It can also be used to actually graph and calculate the norma... |
Python Source Code - 1.8 KB -
MD5: d2610e172cd00ebedbcf442f899e35d5
Very simple bit of code that creates histograms based on all the individual experiments for the positional data. It calculates the histograms for each axis individually, the path to where the numpy files are saved and the directory for where the results are to be saved are define... |
Python Source Code - 1.8 KB -
MD5: 7f71e2283de313d85a0828134e59405b
Very simple bit of code that creates histograms based on all the individual experiments for the positional data. It calculates the histograms for each axis individually, the path to where the numpy files are saved and the directory for where the results are to be saved are define... |
Python Source Code - 9.4 KB -
MD5: 6ab0f22bbd2e4132d9a2b9ae1a9484ef
The first step in the experimental evaluation is the tracking via "opencv". It is important to note that the tracking requires images that are in one directory/folder and sorted in the necessary order through which the algorithm is to run through. Prior to the tracking the images... |
Python Source Code - 3.4 KB -
MD5: 4d6b58cd67bfa90b4530bef226d3101c
This code is used to determine the circulation times and amount of circulations based on the positional results.
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Python Source Code - 3.5 KB -
MD5: ba65fedc1012f5f7daef9ad023d2f30b
This code is fairly simple and just creates a scatter plot for an individual experiment based on the trajectory data which is saved into individual numpy files.
It is important to only access one experiment at a time in this code as a combination of all results would not yield a... |