Forschungs- & Entwicklungsinformationsdienst der Gemeinschaft - CORDIS

FP7 iSense project logo

iSense

Project reference: 270428
Funded under

Making Sense of Nonsense

From 2011-01-01 to 2013-12-31

Project details

Total cost:

EUR 3 998 120

EU contribution:

EUR 2 790 000

Coordinated in:

Cyprus

Call for proposal:

FP7-ICT-2009-6See other projects for this call

Funding scheme:

CP - Collaborative project (generic)
The emergence of networked embedded systems and sensor/actuator networks has made possible the collection of large amount of real-time data about a monitored environment. In many cases the collected data may be incomplete, or it may not make sense, thus compromising the sensor-environment interaction and possibly affecting the ability to manage and control key variables of the environment. The main objective of iSense is to develop intelligent data processing methods for analyzing and interpreting the data such that faults are detected (and where possible anticipated), isolated and identified as soon as possible, and accommodated for in future decisions or actuator actions. This project will focus on cognitive system approaches that can learn characteristics of the monitored environment and can adapt their behavior and predict missing or inconsistent data to achieve fault tolerant monitoring and control.

Objective

The emergence of networked embedded systems and sensor/actuator networks has made possible the collection of large amount of real-time data about a monitored environment. Depending on the application, such data may have different characteristics: multidimensional, multi-scale, spatially distributed, time series. Moreover, the data values may be influenced by controlled variables, as well as by external environmental factors. However, in many cases the collected data may be incomplete, or it may not make sense for various reasons, thus compromising the sensor-environment interaction and possibly affecting the ability to manage and control key variables of the environment. Such problems are generally the result of some fault in the sensor/actuator system itself or an abnormality in the monitored environment, which may be either permanent or temporary, developing abruptly or incipiently. These problems become more pronounced as sensing/actuation systems get older. The main objective of this project is to develop intelligent methods for analyzing and interpreting the data such that faults are detected, isolated and identified as soon as possible, and accommodated for in future decisions or actuator actions. The problem becomes more challenging when these sensing/actuation systems are used in a wide range of environments which are not known a priori and, as a result, it is unrealistic to assume the existence of an accurate model for the behavior of various components in the monitored environment. Therefore, this project will focus on cognitive system approaches that can learn characteristics or system dynamics of the monitored environment and can adapt their behavior and predict missing or inconsistent data to achieve fault tolerant monitoring and control.

Related information

Open Access

Coordinator

UNIVERSITY OF CYPRUS
Cyprus

EU contribution: EUR 827 331


KALLIPOLEOS STREET 75
1678 NICOSIA
Cyprus
Administrative contact: Marios Polycarpou
Tel.: +357 22892252
Fax: +357 22892260
E-mail

Participants

UNIVERSITAT POLITECNICA DE CATALUNYA
Spain

EU contribution: EUR 452 705


Jordi Girona
08034 BARCELONA
Spain
Administrative contact: Cristina Costa
Tel.: +34 93 401 71 26
Fax: +34 93 401 71 30
E-mail
STMICROELECTRONICS SRL
Italy

EU contribution: EUR 500 322


VIA C.OLIVETTI
20864 AGRATE BRIANZA
Italy
Administrative contact: Maria Grazia Podestà
Tel.: +39 0396037255
Fax: +39 0396035910
E-mail
POLITECNICO DI MILANO
Italy

EU contribution: EUR 556 116


PIAZZA LEONARDO DA VINCI
20133 MILANO
Italy
Administrative contact: Fabio Conti
Tel.: +39 02 23993431
Fax: +39 02 23993437
E-mail
THE UNIVERSITY OF BIRMINGHAM
United Kingdom

EU contribution: EUR 453 526


Edgbaston
B15 2TT BIRMINGHAM
United Kingdom
Administrative contact: Robert Fekete
Tel.: +44 121 4158202
Fax: +441214146056
E-mail
Record Number: 108028 / Last updated on: 2016-04-01