Time Line View of Entire Data
Time line view is the idea to show the overview of data along the entire time frame.User can filter the entire date by providing the constraints in the table below.In order to view time line please prodived the range of each parameter.
For example : If you wan to constraint heading with in the range of 100 and 300. The input will be as below.The first argument should be lowest value and second as highest value.
Example for input format of Heading = [100,360]
If you donot provide any constraint the plot will show entire data in single time frame.
Now to start the filling the arguments in the table below. Once you finished Press the Filter Button at the end of table.
Example for input format of Heading = [100,360]
If you donot provide any constraint the plot will show entire data in single time frame.
Now to start the filling the arguments in the table below. Once you finished Press the Filter Button at the end of table.
| Parameters | Input Filters | Range Values of Dataset |
|---|---|---|
| Surge Velocity [m/s] | Surge Ranges | |
| Sway Velocity [m/s] | Sway Ranges | |
| Yaw Veloctiy [deg/s] | Heading Ranges | |
| Roll Velocity [deg/s] | Roll Velocity | |
| Pitch Velocity [deg/s] | Pitch Velocity | |
| Position East[m] | Position East | |
| Position North[m] | Position North | |
| Heading[deg] | Heading | |
| Roll[deg] | Roll | |
| Pitch [deg] | Pitch | |
Matlab Will run background after you start constraint filtering.The Result is stored in JSON files. Now Click on Display Time Button to see the time line view of filtered data.
Note: To see the effect of modification, Please refresh the page and choose your modification.
For Training and Testing purpose for Neural Network You can provide the block of data which you have filtered. Simply input the name of the block in text field for training and Testing in the below Textboxes which will be later used in Neural Network Modeling phase.
For example: Training = 1 (Without any special character. Only Numbers are allowed).
If you donot provide any specific data set then Matlab will divide the entire data into randomly by default.