université de corse pascal paoli 23/06/2008. 2 historical context historical opening : 1765 –...
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Université de Corse
Pascal Paoli
Université de Corse
Pascal Paoli23/06/2008 23/06/2008
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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
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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