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
Name of institution
: Institut Jožef Stefan Type of institution: State institute Type of cooperation: Joint publishing of scientific papers City: 61000 - Ljubljana, Slovenija Other information about the project.