Evolutionary Adaptive Discovery of Phased Array Sensor Signal Identification
Abstract
Tomography, used to create images of the internal properties and features of an object, from phased array ultasonics is improved through many sophisiticated methonds of post processing of data. One approach used to improve tomographic results is to prescribe the collection of more data, from different points of few so that data fusion might have a richer data set to work from. This approach can lead to rapid increase in the data needed to be stored and processed. It also does not necessarily lead to have the needed data. This article describes a novel approach to utilizing the data aquired as a basis for adapting the sensors focusing parameters to locate more precisely the features in the material: specifically, two evolutionary methods of autofocusing on a returned signal are coupled with the derivations of the forumulas for spatially locating the feature are given. Test results of the two novel methods of evolutionary based focusing (EBF) illustrate the improved signal strength and correction of the position of feature using the optimized focal timing parameters, called Focused Delay Identification (FoDI).
- Authors:
- Publication Date:
- Research Org.:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1023468
- Report Number(s):
- INL/CON-11-21442
TRN: US201118%%1045
- DOE Contract Number:
- DE-AC07-05ID14517
- Resource Type:
- Conference
- Resource Relation:
- Conference: 4th International Conference on Human System Interaction (HSI 2011),Yokohama, Japan,05/19/2011,05/21/2011
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; FOCUSING; PROCESSING; SENSORS; TOMOGRAPHY; adaptive sensors; computational Intelligence; phased array ultrasonics
Citation Formats
McJunkin, Timothy R, and Manic, Milos. Evolutionary Adaptive Discovery of Phased Array Sensor Signal Identification. United States: N. p., 2011.
Web.
McJunkin, Timothy R, & Manic, Milos. Evolutionary Adaptive Discovery of Phased Array Sensor Signal Identification. United States.
McJunkin, Timothy R, and Manic, Milos. 2011.
"Evolutionary Adaptive Discovery of Phased Array Sensor Signal Identification". United States. https://www.osti.gov/servlets/purl/1023468.
@article{osti_1023468,
title = {Evolutionary Adaptive Discovery of Phased Array Sensor Signal Identification},
author = {McJunkin, Timothy R and Manic, Milos},
abstractNote = {Tomography, used to create images of the internal properties and features of an object, from phased array ultasonics is improved through many sophisiticated methonds of post processing of data. One approach used to improve tomographic results is to prescribe the collection of more data, from different points of few so that data fusion might have a richer data set to work from. This approach can lead to rapid increase in the data needed to be stored and processed. It also does not necessarily lead to have the needed data. This article describes a novel approach to utilizing the data aquired as a basis for adapting the sensors focusing parameters to locate more precisely the features in the material: specifically, two evolutionary methods of autofocusing on a returned signal are coupled with the derivations of the forumulas for spatially locating the feature are given. Test results of the two novel methods of evolutionary based focusing (EBF) illustrate the improved signal strength and correction of the position of feature using the optimized focal timing parameters, called Focused Delay Identification (FoDI).},
doi = {},
url = {https://www.osti.gov/biblio/1023468},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun May 01 00:00:00 EDT 2011},
month = {Sun May 01 00:00:00 EDT 2011}
}