• DocumentCode
    1395569
  • Title

    Artificial intelligence for instruments and measurement applications

  • Author

    Alippi, Cesare ; Ferrero, Alessandro ; Piuri, Vincenzo

  • Author_Institution
    Italian Nat. Res. Council, Italy
  • Volume
    1
  • Issue
    2
  • fYear
    1998
  • fDate
    6/1/1998 12:00:00 AM
  • Firstpage
    9
  • Lastpage
    17
  • Abstract
    The use of artificial intelligence techniques introduces a new set of problems related to the characterization of the new instrumentation and measurement procedures, incorporating some components based on these instrumentation-processing technologies. Research is needed to define and evaluate suitable methodologies and techniques in order to identify and specify the accuracy, the precision, and the confidence of the measurements performed by using these advanced instrumentation and measurement procedures, in particular with respect to the algorithmic choices embedded in the related software and the computing system itself. For the near future, these are the challenges of the research communities in the areas of instrumentation and measurement as well as in computer science and engineering
  • Keywords
    artificial intelligence; computerised instrumentation; expert systems; accuracy; adaptive technology; algorithmic choices; artificial intelligence; computer engineering; computer science; confidence; expert systems; fuzzy logic; instruments; measurement applications; precision; research communities; software; Artificial intelligence; Embedded computing; Embedded software; Instrumentation and measurement; Instruments; Particle measurements; Performance evaluation; Software algorithms; Software measurement; Software performance;
  • fLanguage
    English
  • Journal_Title
    Instrumentation & Measurement Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1094-6969
  • Type

    jour

  • DOI
    10.1109/5289.685492
  • Filename
    685492