Same domain
- Computing systems
- Interactions, visualisation and virtual reality
- Programming, Software Engineering and Information Systems
- Hybrid Systems and Sensing Systems
- Decision and Control Systems
See Also
Complements
Sensing systems
A specific approach
The traditional approach in instrumentation follows a linear scheme going from some physical quantity to be measured to signal via transduction and then from this signal to a numerical estimate of the quantity of interest via signal processing. A multitude of new schemes are now possible, thanks to the available computing power and the massive use of modelling, simulation, prior knowledge, data bases and networks. The traditional linear scheme is therefore no longer the only option available and new research avenues open. The key concept of information, and information theory, should be at the core of sensing systems, which are at the boundary between the physical world (where the sciences are physics, chemistry, biology, etc. and the technology is that of sensors) and the digital world (where the sciences are statistics, numerical analysis, etc. and the technology is mainly software).
Research topics
The scientific and technological aspects on the physical and digital sides are more and more interconnected, mixing fundamentals in physics, chemistry, biology, sensor technologies, and mathematics and software technologies. This leads to the multidisciplinary concept of sensing system, where crossover and synergy between instrumentation, information and computer sciences and technologies should be the source of new functionalities and performances.
A generic definition of the scientific program would be:
• Any approach based on information processing that transforms data produced by
sensors (actual or simulated) into estimates of quantities of interest,
• Any approach where sensor design is governed by information-processing issues.
A non-limitative list of topics of interest to Digiteo partners is:
• Inverse problems, coupling physical sensors, physical models and simulations.
• Software sensors to estimate quantities that cannot be measured directly from
available data and prior knowledge.
• Experiment design by statistical approaches to minimise uncertainty.
• Control theory for linear and non linear parameter and state estimation (see the
Decision and Control Systems section).
• Coupling data bases and prior knowledge with physical measurements.
• Sensors networks.
Digiteo partners offer a global expertise in sensing systems, from physics, biology and chemistry to knowledge management and information processing and from generic design to final integration in industrial prototypes.
