SVIBOR - Project code: 2-06-221

MINISTRY OF SCIENCE AND TECHNOLOGY

Strossmayerov trg 4, HR - 10000 ZAGREB
tel.: +385 1 459 44 44, fax: +385 1 459 44 69
E-mail: ured@znanost.hr

SVIBOR

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Project code: 2-06-221


Intelligent instrumentation


Main researcher: BOGUNOVIĆ, NIKOLA (4276)



Assistants
Type of research: applied
Duration from: 01/01/91. to 12/31/93.

Papers on project (total): 61
Papers on project quoted in Current Contents: 2
Institution name: Institut "Ruđer Bošković", Zagreb (98)
Department/Institute: Material Science and Electronics
Address: Bijenička c. 54
City: 10000 - Zagreb, Croatia
Communication
Phone: 385 (0) 1 428-730
Phone: 385 (0) 1 4561-080
Fax: 385 (0) 1 425-497
E-mail: bogunovic@olimp.irb.hr

Summary: Intelligent instrumentation represents a new generation of computer-based instrumentation systems, which, in addition to traditional analytical transformations of input data, provide multiparameter, adaptive, modelling of observed physical phenomena. The main research objective of this project is to investigate and find methods and underpinning architectures, which would sustain process modelling by an efficient integration of procedural and knowledge-based paradigms in measurement and control systems operating in a real-time environment. To achievethis goal, the project focuses on the following main issues: a.) investigation of methods which contribute to the enhancement of sensitivity, selectivity, precision, response time, reliability and autonomy of instrumentation systems. b.) investigation of methods for automatic deduction(inferencing) and induction (learning) from acquired data sets, as a basis for adaptive, interactive, process model building. c.) investigation of methods and procedures for an efficient implementation and automatic reconfiguration of distributed measurement and control systems, founded on adaptive models.

Keywords: artificial intelligence, embedded computer systems, intelligent instrumentation, knowledge based systems

Research goals: The main research objective of this project is to investigate and find methods and underpinning architectures, which would sustain process modelling by an efficient integration of procedural and knowledge-based paradigms in measurement and control systems operating in a real-time environment. The results of this research should contribute to the adoption and systematic growth of knowledge on the application of artificial intelligence methods and procedures in complex, computer based, instrumentation systems, and enable efficient measurement and control of industrial and laboratory processes. The additional goal of the project is a comprehension of physical limits which determine the realisation of enhanced sensitivity, selectivity, precision, response time, reliability and autonomy of instrumentation systems.


COOPERATION - INSTITUTIONS


  1. Name of institution: Institut Jožef Stefan
    Type of institution: State institute
    Type of cooperation: Joint publishing of scientific papers
    City: 61000 - Ljubljana, Slovenija

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Last update: 10/09/95
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