Best-selling in Non-Fiction Books
Save on Non-Fiction Books
- AU $50.71Trending at AU $62.46
- AU $52.98Trending at AU $72.91
- AU $32.59Trending at AU $36.89
- AU $30.05Trending at AU $40.13
- AU $14.93Trending at AU $22.05
- AU $28.02Trending at AU $30.06
- AU $26.84Trending at AU $29.51
About this product
- DescriptionThe first step in combating a chemical weapons threat is contamination avoidance. This is accomplished by the detection and identification of chemical agents. The Air Force has several instruments to detect chemical vapors, but is always looking for lighter, faster, and more accurate techlogy for a better capability. This research is focused on using carbon natube polymer composite sensors for chemical detection. More specifically, models are developed to classify three sets of sensor data according to vapor using various multivariate techniques. Also, prediction models of a mixed sensor output are developed using neural networks and regression analysis. The classifiers developed are able to accurately classify three vapors for a specific set of data, but have problems when tested against data from aged sensors as well as data generated from a different set of new sensors. These results indicate that further research should be conducted to ensure accuracy in identifying chemical vapors using these types of sensors.
- Author(s)Huynh A Hinshaw
- Date of Publication09/10/2012
- FormatPaperback / softback
- SubjectEducation & Teaching
- Country of PublicationUnited States
- Weight318 g
- Width189 mm
- Height246 mm
- Spine9 mm
- Format DetailsTrade paperback (US),Unsewn / adhesive bound
This item doesn't belong on this page.
Thanks, we'll look into this.