notes.txt

PROJECT: drop C ontact A ngle M easurement



Time management / planning:

- 22.2.: test in the lab, on the lab computer with actual measurement.
- 27.2.: program should be basically running, with basic gui or console
- 5.3.: deadline for finished program and gui, beta tested and fully documented.
I didn't keep track of the detailed, actual hours spent on the project, but I supppose I'm around 50-60, I expect ca. 20 more needed...


detailled status:

- Basic algorithms: 2 of 4 done
 * planning / reading / preparations: done
 * design: done
 * implementation: 67%
   + nox / potentiostat data reader: missing
   + webcam reader: done
   + video file reader: done
   + data analyser: done
   + simple output: done
   + plotting function; missing
 * fine tuning / stability tests: 25%

- Back end: 1 of 4 done
 * general: 50%
 * multi threading: done
 * plug in system: 50%
 * helper classes: 75%

- front end / GUI: 1 of 2 done
 * planning / design: done
 * implementation: 0%
   + general process flow: missing
   + load: missing
   + setup: missing
   + config: missing
   + run / working: missing

- Cleaning up / documentation: 0 of 5 done
 * code documentation: 75%
 * end user documentation: 0%
 * plug-in / script development doc: 25%
 * cleaning up code: 0%
 * debugging / beta testing: 25%



Design Principles:

- easy to use:
 * intuitive gui
 * produce publishable results / plots on the fly
 * easy data export to excel, matlab, ...
 * possibly portable (win / linux / mac)

- easy to extend: plug in based design. Easy addition of
 * other data sources (other lab devices)
 * processing routines 
 * output capabilities
 * in c/c++ and python, possibly matlab, IGOR

- languages:
 * gui & basic program in python
 * speed critical parts in C / C++ (using opencv library)

- ideas:
 * all in one: no need for external tools
 * multi threaded for speed
 * life / lab working mode (see life results)
[* real time measurement mode (analyse while recording with full precession)]
 * off line / office working mode: process recorded data streams