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Neural net device for IED gas identification
conference contribution
posted on 2010-01-01, 00:00 authored by R Kennedy, Saeid NahavandiMost of the embedded systems that detect gases today are for specific types and indicate the levels of the gas present with their standard sensors. We introduce here an adaptable system that can detect and distinguish the type of gas in a volatile environment such as searching for Improvised Explosive Devices (IEDs). This is achieved with a small device mounted on a mobile robot through the use of an algorithm that is an Artificial Neural Network (ANN). The input layer to the ANN is an array of environmental and gas sensors. The small device, comprising of a multilayer circuit board with sensors in a rugged lightweight case, mounts on the mobile robot and communicates the gaseous data to the robot.
The ANN is implemented in the hardware of a FPGA with the control of the ANN being achieved through the configurable processor and memory. Calibration and testing of the device involves the training of device and the ANN with specific target gases. The Accuracy of the device is validated through lab testing against high-end gas test instruments with known concentrations of gases.
The ANN is implemented in the hardware of a FPGA with the control of the ANN being achieved through the configurable processor and memory. Calibration and testing of the device involves the training of device and the ANN with specific target gases. The Accuracy of the device is validated through lab testing against high-end gas test instruments with known concentrations of gases.
History
Event
IEEE Symposium on Industrial Electronics and Applications (3rd : 2010 : Penang, Malaysia)Pagination
727 - 732Publisher
IEEELocation
Penang, MalaysiaPlace of publication
Piscataway, N.J.Start date
2010-10-03End date
2010-10-05ISBN-13
9781424476473Language
engNotes
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E1 Full written paper - refereedCopyright notice
2010, IEEEEditor/Contributor(s)
M [SerojiTitle of proceedings
ISIEA 2010 : 2010 IEEE Symposium on Industrial Electronics and ApplicationsUsage metrics
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