Université de Corse

Pascal Paoli

Université de Corse

Pascal Paoli23/06/2008 23/06/2008

2

HISTORICAL CONTEXTHISTORICAL CONTEXT

• Historical opening : 1765 – 1768

• Re-opening in 1981 : 350 students• in 1988 : 1500 students • in 1998 : 3500 students

• End of the 90’s : Focus on Environnemental studies

• Historical opening : 1765 – 1768

• Re-opening in 1981 : 350 students• in 1988 : 1500 students • in 1998 : 3500 students

• End of the 90’s : Focus on Environnemental studies

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University : TodayUniversity : Today

• 4300 studentss• 234 researchers/teachers• 137 adminstrative people

• More than 240 PhD students

• More than 50 different nationalities on the campus

• More than 100 University partners in the world

• 4300 studentss• 234 researchers/teachers• 137 adminstrative people

• More than 240 PhD students

• More than 50 different nationalities on the campus

• More than 100 University partners in the world

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University : todayUniversity : today

3 sites 33 000 m²

3 sites 33 000 m²

Campus Mariani

Campus Grimaldi

Palazzu Naziunale

Grand Bastia

Carghjese

Vignola

New Campus

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Research : StrategyResearch : Strategy• Research oriented around 6 projects

International Scientific topics Corsica Developemnt problematics

• Research oriented around 6 projects International Scientific topics Corsica Developemnt problematics

ResearchResearch

Identities and CulturesIdentities and Cultures Renewable EnergiesRenewable Energies Natural RessourcesNatural Ressources Technologies of Technologies of

Information and Information and CommunicationCommunication

Forest FiresForest Fires Water Management and Water Management and

ValorisationValorisation Territories Dynamics and Territories Dynamics and

Sustainable DevelopmentSustainable Development

Research organisationResearch organisation

ProjetsProjetsLabsLabs

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Research ValorisationResearch Valorisation

Each project involves a valorisation part :

Project Fire : fire professionals and institutions Project Water Management : aquaculture

(aquarium) Projet TD : Territory management

(tourism,agriculture, etc…) Project Renewable Energies : CAP-ENERGIES

Pôle de Compétitivité Project Natural Resources : Actions ADEC :

PAM Project IdC : InCorsu+ (DVD) and Mediatec Project TIC : environnemental studies

Each project involves a valorisation part :

Project Fire : fire professionals and institutions Project Water Management : aquaculture

(aquarium) Projet TD : Territory management

(tourism,agriculture, etc…) Project Renewable Energies : CAP-ENERGIES

Pôle de Compétitivité Project Natural Resources : Actions ADEC :

PAM Project IdC : InCorsu+ (DVD) and Mediatec Project TIC : environnemental studies

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New Organisation since 1 st January 2008

New Organisation since 1 st January 2008

• CNRS Labelisation UMR SPE « Sciences Pour l’Environnement » UMR LISA « Lieux, Identités, eSpaces, Activités » Fédération de recherche « Environnement et société » UMS Cargèse

• l’INRA, l’INSERM, l’IFREMER Partnerships

• CNRS Labelisation UMR SPE « Sciences Pour l’Environnement » UMR LISA « Lieux, Identités, eSpaces, Activités » Fédération de recherche « Environnement et société » UMS Cargèse

• l’INRA, l’INSERM, l’IFREMER Partnerships

ResearchResearch

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New Organisation since 1st January 2008

New Organisation since 1st January 2008

Bilan du contrat 2004/2007Bilan du contrat 2004/2007

Fédération de recherche CNRSEnvironnement et société

UMR CNRS SPE UMR CNRS LISA

Renewable EnergiesForest FiresNatural RessourcesWater ManagementTechnologies of Information and Communication

Identities and culturesTerritories dynamics

IFREMERIFREMERINRAINRAINSERMINSERM

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UMR LISACentral Topics : IdC et DTDDCentral Topics : IdC et DTDD

Competences: Economical Sciences, Law Studies, anthropology, archaology , linguistics,

Projects: DT and Identities and Cultures

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• Members : 4 research entities from the Corsican Region : UMR CNRS Sciences Pour l’Environnement ; UMR CNRS Lieux, Identités, eSpaces, Activités ; INRA Centre de Corse San GiulianuINRA Centre de Corse Corte) soit plus de 300 chercheurs.

• Main Objective : Pluridisciplinary research

1/5

LA FÉDÉRATION DE RECHERCHE ENVIRONNEMENT ET SOCIÉTE : F. R. E. S

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UMR SPE, UMR LISA

FRES, Projets

PhD Students belonging the EDENVIRONNEMENT ET SOCIETE

Drive MASTERS

Grants/year:2 MRT12 from CTC1 autre (CNRS, CIFRE, CEA, ADEME…)6 post doc

RESEARCH-TEACHING

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TeachingTeaching

TeachingTeaching

Six domains , more than 80 diplomassLLASH, SEG, Droit, Sciences et Technologies, STAPS, SantéSix domains , more than 80 diplomassLLASH, SEG, Droit, Sciences et Technologies, STAPS, Santé

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University of Corsica University of Corsica

Increasing results in research (structuration, visibility) and teaching (attractivity)

Corsican society impact (qualification level increasing, corisan language and culture development, environnemental topics)

Contribution to the elaboration of a knowledge corsican society

Increasing results in research (structuration, visibility) and teaching (attractivity)

Corsican society impact (qualification level increasing, corisan language and culture development, environnemental topics)

Contribution to the elaboration of a knowledge corsican society

Conclusion Conclusion

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Computer Sciences : Research at the University of Corsica

Computer Sciences : Research at the University of Corsica

Detailed Presentation of the T.I.C Project

This project involves two aspects : Scientific one : development of generic concepts

and tools for the study of complex systems according to national and international computer sciences problematics :•Modeling and Simulation of systems•Multi representation of spatial data•Wireless sensors networks

Technological one : validation of the previous concepts and tools on concrete applications linked to regional problematics.

Detailed Presentation of the T.I.C Project

This project involves two aspects : Scientific one : development of generic concepts

and tools for the study of complex systems according to national and international computer sciences problematics :•Modeling and Simulation of systems•Multi representation of spatial data•Wireless sensors networks

Technological one : validation of the previous concepts and tools on concrete applications linked to regional problematics.

T.I.C. T.I.C.

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Scientific Aspects 1 Modeling and Simulation

Scientific Aspects 1 Modeling and Simulation

Définition of a generic approach for modleing and simulation from the DEVS (Discrete Event Specification) formalism

DEVS and Fuzzy sets

Multi Layers DEVS

Concurrent DEVS

DEVS models Aided Design (libraries, Web,etc..)

DEVS and MDA (Model Driven Architecture)

DEVS, SMA and GIS

Dynamic DEVS

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DEVS formalism

The DEVS formalism (Discrete EVent system Specification) was introduced by B.P. Zeigler into the 70’s.

DEVS is a multi formalism of modeling and of simulation based on systems theory, it allows the representation of complex systems in a modular and hierarchical form.

This approach uses the concepts of Atomic Model, Coupled Model and Abstract Simulator.

The simulation is drive by event.

Evt => (port, value, time)

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DEVS FormalismDEVS Formalism• Modelling formalism based upon

discret events theory• A system is described using :

A time base Inputs Outputs A set of states Some transition functions

• Coupled model : composed of atomic models

• Modelling formalism based upon discret events theory

• A system is described using : A time base Inputs Outputs A set of states Some transition functions

• Coupled model : composed of atomic models

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DEVS FormalismDEVS Formalism

• This formalism emphasizes on the change of variables : an event is described as a change of the value of a variable

• Simulation : use of a scheduler giving all the events chronologically

• This formalism emphasizes on the change of variables : an event is described as a change of the value of a variable

• Simulation : use of a scheduler giving all the events chronologically

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The purpose of modeling and simulation is to simplify the components of a system, in order to reproduce its behavior.

The purpose of modeling and simulation is to simplify the components of a system, in order to reproduce its behavior.

Real System

Model Simulator

modelling

simulation

validation

Modelling and simulation using DEVS

Three entities of the modeling and simulation

process

(Black box)

(Equation)

(Result)

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DEVS formalism

The atomic model is defined by:

(1) AM = < X, Y, S, ta, δint, δext, λ >

Where :

- X is the input ports set, through which external events are received;

- Y is the output ports set, through which external events are sent;

- S is the states set of the system ;

- ta is the time advance function (or of lifespan of a state) ;

- δint is the internal transition function;

- δext is the external transition function;

- λ is the output function;

1) Atomic Model

2) Coupled Model

3) Abstract Simulator

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DEVS formalism

The coupled model is defined by:

(2) CM = < X, Y, C, EIC, EOC, IC, L >

Where :

- X is the input ports set;

- Y is the output ports set;

- C is the set of all component models;

- EIC is the external input coupling relation which connects the input ports of the coupled model to one or more of the input ports of its internal components;

- EOC is the external output coupling relation which connects the output ports of the internal components to the output ports of the coupled model;

- IC : is the internal coupling relation which connects the output ports of the internal components to the input ports of other components;

- L is the list of priorities between components ;

1) Atomic Model

2) Coupled Model

3) Abstract Simulator

AM1

AM2

CM1X Y

EIC

IC

EOC

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DEVS formalism

B.P. Zeigler define a abstract Simulator.

The major advantage of such a simulator is that its conception is independent of the model.

1) Atomic Model

2) Coupled Model

3) Abstract Simulator

Nevertheless :

When DEVS formalism is replaced in the specific context of applicability field, it is too often abstract, it is then necessary to enrich its syntax

Example : for the study of fuzzy systems.

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Modeling and Simulation

Modeling and Simulation

:

MSOO : object oriented Modeling and Simulation

RdN : Neural Networks

GIS : Geographic Information Systems

XML et Corba : Libraries of models

:

MSOO : object oriented Modeling and Simulation

RdN : Neural Networks

GIS : Geographic Information Systems

XML et Corba : Libraries of models

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MethodologyMethodology

Principles :Decomposition of the natural systems into interconnection of basic modelsModels representation using object technology Use of Neural Networks Links to GIS

Principles :Decomposition of the natural systems into interconnection of basic modelsModels representation using object technology Use of Neural Networks Links to GIS

Object Oriented Modeling of natural systems

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METHODOLOGYMETHODOLOGY

Principles :Automatic generation of the simulators associated with the models.Use of the Object Oriented Programming and Discrete Event Simulation

Principles :Automatic generation of the simulators associated with the models.Use of the Object Oriented Programming and Discrete Event Simulation

Simulation of the models

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Collaborative Research

Collaborative Research

Collaborative SoftwareCollaborative SoftwareSpecialistof a Domain

PhysicianMathmaticianEconomist…

Modelisator 1Modelisator 2

Responsible for the modeling phase :define the global model from the Reusable components

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How to workHow to work

Acquisition

GPSSatellite

Observation

Simulation MSOO

Data Fusion

GIS

GIS, Simulation, DATA FUSION GIS, Simulation, DATA FUSION

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Scientific Aspects2 Multi Representation of Spatial Data Scientific Aspects2 Multi Representation of Spatial Data

Definition and solving of problems linked to the represention of temporal spatial data at several scales

How to deal with data at different levels of temporality

How to deal with data at different levels of abstraction

How to deal with data coming from differents domains and different semantics

Development of a software allowing : (1) the automatic transformation between levels of abstraction and levels of temporality ; (2) to take into account several kinds of semantics

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2 Multi Representation of Spatial Data 2 Multi Representation of Spatial Data

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Basic Concepts (I)Basic Concepts (I)

• Abstraction hierarchy : a way to describe a system at different levels of details

• Abstraction hierarchy : a way to describe a system at different levels of details

A

A1

A3

A2

1

3.23.1

2.22.1

1.21.1

32

De

co

mp

os

ition

Level N

Level N-1

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Basic Concepts (II)Basic Concepts (II)

• Description hierarchy : a way to subdivide a system

• Description hierarchy : a way to subdivide a system

A

A1

A3

A2

13

2

Des

criptio

n

Level N

Level N-1

3

2

1

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BASIC CONCEPTS (III)BASIC CONCEPTS (III)• Use of Transfer Functions to translate

between a representation More (less) detailed to representation Less (more) detailed

• Use of Transfer Functions to translate between a representation More (less) detailed to representation Less (more) detailed

Representation 1

(more detail)

Representation 2

(less detail)

Transfer Functions

Level N Level N -1

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IMPLEMENTATION (I)IMPLEMENTATION (I)

• Realization of a prototype of a software called GIS-ARCHAEO-ASTRO developed in Visual Basic (three kinds of semantics : archaeology, anthropology and astronomy)

• Validation was carried out starting from a concrete example concerning the archaeological site of Monte Revincu

• The site of Monte Revincu is located in the area of Agriate at the North of Corsica

• Realization of a prototype of a software called GIS-ARCHAEO-ASTRO developed in Visual Basic (three kinds of semantics : archaeology, anthropology and astronomy)

• Validation was carried out starting from a concrete example concerning the archaeological site of Monte Revincu

• The site of Monte Revincu is located in the area of Agriate at the North of Corsica

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#

#

####

#

#

#

#

#

#

#

#

#

Monte Revincu

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IMPLEMENTATION (II)IMPLEMENTATION (II)

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IMPLEMENTATION (III)IMPLEMENTATION (III)• The user use the decomposition to

generate a new representation R2, by using the button “UP”

• The user use the decomposition to generate a new representation R2, by using the button “UP”R1. 1pt R2. 3 pt

R3 Dolmen

No-dolmenic tombs

Use decomposition

Need more details

Level 1 Level 2

Level 3

Archaeological field

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IMPLEMENTATION (IV)IMPLEMENTATION (IV)

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IMPLEMENTATION (V)IMPLEMENTATION (V)

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3 Wireless Sensors Network3 Wireless Sensors Network

Development of tools dedicated to the control of systems using wireless sensors network

Study of communication protocols

Distant based Monitoring

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3 Wireless Sensors Network3 Wireless Sensors Network

Design and implementation of sensors network

Study of the structure of communication protocols

Design and implementation of sensors network

Study of the structure of communication protocols

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3 Wireless Sensors Network3 Wireless Sensors Network• Possible application of Wireless Sensor

Network (WSN) in several areas (forest fire, wind turbine control, water management, sustainable tourism

• Need to simulate functional behavior of node components and environmental conditions.

• Find routing protocol adapted for different scenarii and analysis of deployment strategies.

• Possible application of Wireless Sensor Network (WSN) in several areas (forest fire, wind turbine control, water management, sustainable tourism

• Need to simulate functional behavior of node components and environmental conditions.

• Find routing protocol adapted for different scenarii and analysis of deployment strategies.

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Project T.I.C. Technological AspectsProject T.I.C. Technological Aspects

These aspects concern the validation of the

previous concepts through concrete

applications

These aspects concern the validation of the

previous concepts through concrete

applications

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Modeling and SimulationModeling and SimulationFires

Electronic Systems Testing

Fires

Electronic Systems Testing

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Modeling and SimulationModeling and SimulationWireless sensor Network Study

Electric Circuits Design

Wireless sensor Network Study

Electric Circuits Design

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Modeling and SimulationModeling and Simulation

• Water Managment

• Computer Aided Design of Agro products

Corsican Cheese fabrication modeling

Fuzzy Data

Résults : 2 golden

medals 2005,2006.

• Water Managment

• Computer Aided Design of Agro products

Corsican Cheese fabrication modeling

Fuzzy Data

Résults : 2 golden

medals 2005,2006.

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Modeling and SimulationModeling and Simulation• Anthropolical systems Myths transformation study from the C. Levi StraussCanonical Formula:fx(a) : fy(b) :: fx(b) : fa-1(y)

• Anthropolical systems Myths transformation study from the C. Levi StraussCanonical Formula:fx(a) : fy(b) :: fx(b) : fa-1(y)

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Multi Representation of Spatial Data Multi Representation of Spatial Data

• Study of the orientations of •megaliths using GIS

•Integration of 3D pictures in anAstronomical softwareExample : 4200BC from Orca dolmen

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Multi Representation of Spatial

Data : GIS for cultural data Multi Representation of Spatial

Data : GIS for cultural data

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Multi Representation of Spatial Data : GIS cultural and environmental dataMulti Representation of Spatial Data : GIS cultural and environmental data

DBMapInfo

GPS

Web Server

  

Client

Client

Client

Client

Spatial data server :

•Géology•Water quality data•Données végétation•Old Maps•Toponymy• remarquable natural sites• folktales• Intervisibility•Archéoastronomy, etc…

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Wireless Sensors NetworkWireless Sensors Network

Sensor Base Station MBI510Sensor Base Station MBI510

Two applications : 1- Fires prevention 2- Wind turbine Parc Management

Collaboration Univ. de Gènes

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Wireless Sensors NetworkWireless Sensors Network

4

The captation of the mimophony gestures and voice synthesis process.

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Wireless Sensors NetworkWireless Sensors Network

• Gesture capture system A receive/transmit wireless system

• Gesture capture system A receive/transmit wireless system

8

53

Wireless Sensors NetworkWireless Sensors Network

• Conception of Two DataGloves Five bend sensors and one accelerometer

• Conception of Two DataGloves Five bend sensors and one accelerometer

9

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Wireless Sensors Network : perspectivesWireless Sensors Network : perspectives

Goals : submarine monitoring

- Implementation of submarine wireless sensors networks

Goals : submarine monitoring

- Implementation of submarine wireless sensors networks

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ConclusionsConclusions

•Team : 10 pemanent researchers : 3 PR+ 2Mcf HDR, 5 McF, 6 PhD

•Contracts :•1996-1999 : BELSIGN European Network- VHDL (as Leader)•2000-2003 : EOARD – VHDL as Leader•1999-2002 : Alcatel-Paris – Telecom Design as leader•2002 -2006 : European Project Water Management (leader) • 2008-2010 : PEPS CNRS Sensors Network (leader) •2005-2008 : ANR Feux (participant)•2002-2005 : Industrial : Fromagerie Ottavi - leader