DocumentCode :
859671
Title :
Knowledge-based techniques in instrumentation
Author :
Sztipanovits, J. ; Karsai, G.
Author_Institution :
Dept. of Electr. Eng., Vanderbilt Univ., Nashville, TN, USA
Volume :
7
Issue :
2
fYear :
1988
fDate :
6/1/1988 12:00:00 AM
Firstpage :
13
Lastpage :
17
Abstract :
Opportunities for the application of knowledge-based techniques in Fourier transform infrared (FTIR) spectrometry are examined. Three issues are considered: (1) the new functionalities that can be implemented by artificial intelligence (AI) techniques; (2) the kind of AI techniques that can be used in this specific problem; and (3) how to merge AI techniques with existing, relatively small instruments, such as FTIR systems. The ADVICE facility developed to support the experiment design phase of the FTIR operation is described. Spectrum interpretation is discussed.<>
Keywords :
Fourier transform spectroscopy; artificial intelligence; computerised spectroscopy; physics computing; ADVICE facility; Fourier transform IR spectrometry; artificial intelligence; instrumentation; knowledge-based techniques; spectrum interpretation; Artificial intelligence; Brain modeling; Calibration; Context modeling; Control systems; Current measurement; Electroencephalography; Expert systems; Infrared spectra; Instruments;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/51.1968
Filename :
1968
Link To Document :
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