Reference Number: INTAS-97-0606

Overview

The research activities of the INTAS project entitled: "Development of an Intelligent Sensing Instrumentation Structure", reference number INTAS-OPEN-97-606, are presented briefly in this site.

The design of an Intelligent Sensing Instrumentation Structure (I.S.I.S.) based on distributed computing for the processing of the input information is the subject of this project. The term I.S.I.S. is used to describe an instrumentation system capable of performing a number of advanced +intelligent; tasks as it carries out the processing of information from multiple sensing devices of different kinds. The fields of applications of such instrumentation structures include industrial processes, robotics, monitoring of various cases (environmental, autonomous vehicles and systems, etc), "smart buildings", and others.

The main characteristics of an ISIS can be briefly described as follows:

• high accuracy (small deviation of result of physical quantity measurement from its real value)
• reliability (maintenance of a given measurement accuracy during long-time ISIS exploitation in industrial conditions)
• adaptability (initial adaptation of ISIS structure to the requirements of measuring task and adaptation of measurement processing algorithms to the operating conditions)

More specifically the research work has resulted to:

1. the requirements and characteristics of Intelligent Sensing Instrumentation Structures,
2. the design and analysis of an optimum configuration based on distributed processing and neural networks for the realization of an ISIS,
3. the evaluation of the total performance of ISIS (sensing precision and reliability, validation of operation)

The research activities for the implementation of this project are focused in the following subjects (fields of activity): intelligent systems configurations, requirements, characteristics, distributed sensor networks, algorithms and software for distributed processing network structures, compensation of sensors defects, sensor evaluation and calibration - prediction using neural networks, measurement validation, reconfiguration and verification procedures with the use of neural networks and distributed - parallel algorithms, etc.

The project started on December 1998, with a duration of 36 months (till Dec., 2001).

Participating teams in this project are from:

• Greece (Aristotle University of Thessaloniki, Leader: Prof. Theodore Laopoulos),
• Italy (University of Calabria, Leader: Prof. Lucio Grandinetti),
• Ukraine (Institute of Computer Information Technologies, Ternopil, Leader: Prof. Anatoly Sachenko),
• Belarus (Brest State Technical University, Prof. Vladimir Golovko).

The co-ordinator of this project is Prof. Theodore Laopoulos

Contact address: Aristotle University of Thessaloniki, Electronics Lab, Physics Dept.,
54006, Thessaloniki, Greece.
Tel: +3031.0.998215, Fax: +3031.0.998018,
Email: laopoulos@physics.auth.gr

For more information please contact the project coordinator in the above address.

Email contacts of all teams are shown in the participants page of this site.