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. | ||
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- Debug Matlab data processing algorithm. | - Debug Matlab data processing algorithm. | ||
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- 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: