Difference between revisions of "Chemical Sensors SP 2011"

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- Email Dr. Raman about our research and a possible collaboration.
 
- Email Dr. Raman about our research and a possible collaboration.
 +
 
- Debug Matlab data processing algorithm.
 
- Debug Matlab data processing algorithm.
 +
 
- Ensure that Labview and Matlab data processing algorithms allows updated sensor array to reliably detect the location of the isopropyl alcohol source.
 
- Ensure that Labview and Matlab data processing algorithms allows updated sensor array to reliably detect the location of the isopropyl alcohol source.
 +
 
- Interface the data processing algorithm and sensor array with a robot, and develop a robot motion algorithm.
 
- Interface the data processing algorithm and sensor array with a robot, and develop a robot motion algorithm.
 +
 
- Investigate the effects of using a shorter span of data on the accuracy of the signal processing algorithm.
 
- Investigate the effects of using a shorter span of data on the accuracy of the signal processing algorithm.
  

Revision as of 00:27, 15 February 2011

Weeks 1-4:

We accomplished the following tasks:

- Added to the Matlab data processing algorithm to match peaks between sensor pairs. - Ordered 3 new pairs of sensors, so that each sensor within a pair does not collect data in a biased manner based on age.

Additionally, we made a game plan for the rest of the semester:

- Create new sensor array with new sensors and collect new unbiased data from the updated array.

- Email Dr. Raman about our research and a possible collaboration.

- Debug Matlab data processing algorithm.

- Ensure that Labview and Matlab data processing algorithms allows updated sensor array to reliably detect the location of the isopropyl alcohol source.

- Interface the data processing algorithm and sensor array with a robot, and develop a robot motion algorithm.

- Investigate the effects of using a shorter span of data on the accuracy of the signal processing algorithm.

Week 5:

- Created new sensor array.

Week 6:

Week 7:

Week 8:

Week 9:

Week 10:

Week 11: