I know that NS2 runs its core engine and generates the trace file. But in which files are the calculations for generating this trace file done? Also, what are the units (like second, Joule etc) of the parameters we get in the trace file?
Related
I have already installed the both plugins but don't know how to use them for pod analysis. Need help in that as i don't have programming background. Also can we use it for batch processing of images, in case i have more than 100 images?
Another approach per specially coded ImageJ-macro gives reasonable estimates of the widths and lengths of all pods in the sample image. You can access the macro code from here. Unzip the zip-archive and drop the file "plantPodDimensions.ijm" onto the ImageJ main window. Then open the sample image and run the macro. The estimated pod dimensions appear in a table.
Specimen [right to left] Mean Pod Width [cm] Pod Length [cm]
OHiI7_pod-1 0.70±0.11 23.6
OHiI7_pod-2 0.59±0.09 22.3
OHiI7_pod-3 0.64±0.05 20.7
OHiI7_pod-4 0.41±0.04 20.5
OHiI7_pod-5 0.66±0.07 22.9
OHiI7_pod-6 0.68±0.10 24.4
OHiI7_pod-7 0.60±0.07 20.5
Of course it couldn't be tested, if the macro works as expected for other images than the sample image.
With the download of the plugins come documents that explain the use of the plugins. Batch processing is possible, if the starting points of the traces are known or can somehow be determined by additional pre-processing steps (not trivial). Both plugins are macro-recordable. In any case, batch processing will require some macro code.
For the use case in question I would recommend to perform the analyses via the GUI, not per batch processing. The coding of a suitable macro would take more time than the processing of 100+ images.
I have FilePulse correctly configured, so that when I create a file inside the reading folder, it reads it and ingests it in the topic.
Now I need to do continuous reading of each of the files in that folder, since they are continually being updated.
I have to change any property of properties file?
My filePulseTxtFile.properties:
name=connect-file-pulse-txt
connector.class=io.streamthoughts.kafka.connect.filepulse.source.FilePulseSourceConnector
topic=lineas-fichero
tasks.max=1
File types
fs.scan.filters=io.streamthoughts.kafka.connect.filepulse.scanner.local.filter.RegexFileListFilter
file.filter.regex.pattern=.*\\.log$
task.reader.class=io.streamthoughts.kafka.connect.filepulse.reader.RowFileInputReader
File scanning
fs.cleanup.policy.class=io.streamthoughts.kafka.connect.filepulse.clean.LogCleanupPolicy
fs.scanner.class=io.streamthoughts.kafka.connect.filepulse.scanner.local.LocalFSDirectoryWalker
fs.scan.directory.path=/home/ec2-user/parser/scanDirKafka
fs.scan.interval.ms=10000
Internal Reporting
internal.kafka.reporter.bootstrap.servers=localhost:9092
internal.kafka.reporter.id=connect-file-pulse-txt
internal.kafka.reporter.topic=connect-file-pulse-status
Track file by name
offset.strategy=name
Thanks a lot!
Continious reading is only supported by the RowFileInputReader that you can configure with the read.max.wait.ms property - The maximum time to wait in milliseconds for more bytes after hitting end of file.
For example, if you configure that property to 10000 then the reader will wait 10 seconds for new lines to be added to the file before considering it completed.
Also, you should note that as long as there are task processing files, then new files that are added to the source directory will not be selected. But, you can configure the allow.tasks.reconfiguration.after.timeout.ms to force all tasks to be restarted after a given period so that new files will be scheduled.
Finally, you must take care to correctly set the max.tasks property so that all files can be processed in parallel (a task can only process one file at a time).
I'm currently trying to find a way to automate the clearing of the trace window in CANoe.
I've had a look on the help menu within CANoe but there's nothing apart from a manual x option available on the Trace window itself. Does anyone have any ideas?
Syntax
void traceWindowClear(char[] windowName);
Function
Clears the contents of the Trace Window.
Parameters
windowName - The name of the Trace Window.
Return Values
—
Availability
Since Version 11.0 In Measurement Setup and Simulation / Test Setup.
Here
I have added this
But my tomcat7 console still shows all this...
I flipped back and forth between SEVERE and ALL and noticed no difference in the console output.
What step am I missing?
Set level to OFF
in your example
level=OFF
Levels used for identifying the severity of an event. Levels are
organized from most specific to least:
OFF (most specific, no logging)
SEVERE (highest value)
WARNING
INFO
CONFIG
FINE
FINER
FINEST (lowest value)
I'm a student learning to use MATLAB. For an assignment, I have to create a simple state machine and collect some results. I'm used to using Verilog/Modelsim, and I'd like to collect data only when the state machine's output changes, which is not necessarily every time/sample period.
Right now I have a model that looks like this:
RequestChart ----> ResponseChart ----> Unit Delay Block --> (Back to RequestChart)
| |
------------------------> Mux --> "To Workspace" Sink Block
I've tried setting the sink block to save as "Array" format, but it only saves 51 values. I've tried setting it to "Timeseries", but it saves tons of zero values.
Can someone give me some suggestions? Like I said, MATLAB is new to me, please let me know if I need to clarify my question or provide more information.
Edit: Here's a screen capture of my model:
Generally Simulink will output a sample at every integration step. If you want to only output data when a particular event occurs -- in this case only when some data changes -- then do the following,
run the output of the state machine into a Detect Change block (from the Logic and Bit Operations library)
run that signal into the trigger port of a Triggered Subsystem.
run the output of the state machine into the data port of the Triggered Subsystem.
inside the triggered subsystem, run the data signal into a To Workspace block.
Data will only be saved at time point that the trigger occurs, i.e. when your data changes.
In your Simulink window, make sure the Relative Tolerance is small so that you can generate many more points in between your start and ending time. Click on the Simulation option at the top of the window, then click on Model Configuration Parameters.
From there, change the Relative Tolerance to something small... like 1e-10. After that, try running your simulation again. You should have a lot more points in your output array that you can now save.