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Electronic Nose

Electronic Nose

Electronic Nose. Presentation by: Ameer Iqbal Roll No.- 10 EE 64 R 02 M.Tech . (Instrumentation). Contents. Introduction Components Sensors Pattern recognition Wireless electronic nose Advantages & limitations Applications

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5.82k views • 33 slides
Argo Delayed-Mode Process

Argo Delayed-Mode Process

Argo Delayed-Mode Process. Annie Wong University of Washington. Argo data quality control elements. Real-time (RT) data stream Function: Apply agreed RT QC tests to float data. Assign quality flags. Users: Operational centres, data assimilation, researchers needing timely data.

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446 views • 22 slides
HOMS/SOM Design Status 30 Oct 2007

HOMS/SOM Design Status 30 Oct 2007

SM3/4. SM2. SM1. HM1. HM2. HOMS/SOM Design Status 30 Oct 2007. This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.

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151 views • 14 slides
D ETECTION AND I SOLATION OF A S ENSOR D RIFT F AULT

D ETECTION AND I SOLATION OF A S ENSOR D RIFT F AULT

D ETECTION AND I SOLATION OF A S ENSOR D RIFT F AULT. Yilun Zhou Prof. Thomas Parisini Imperial College London. Introduction. Background Complex c ontrol systems and demand for fault tolerance Process fault and sensor fault in nonlinear systems

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172 views • 6 slides
Data Quality Issues

Data Quality Issues

Cabled observatories will produce long time series of real time physical ocean data -- revealing: Trends Long-period fluctuations (>1 year) Events But, without sensor drift histories and laboratory inter-calibration, trends and events will be lost in: Sensor drift Calibration variability.

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115 views • 4 slides

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