Universit

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Université de CorsePascal Paoli
23/06/2008
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HISTORICAL CONTEXT

• Historical opening 1765 1768
• Re-opening in 1981 350 students
• in 1988 1500 students
• in 1998 3500 students
• End of the 90s Focus on Environnemental
  studies

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University 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

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University today

• 3 sites
• 33 000 m²

Grand Bastia
Palazzu Naziunale
Campus Mariani
Carghjese
Campus Grimaldi
Vignola
New Campus
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Research Strategy

• Research

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

Projets
Labs
Research organisation

• Identities and Cultures
• Renewable Energies
• Natural Ressources
• Technologies of Information and Communication

• Forest Fires
• Water Management and Valorisation
• Territories Dynamics and Sustainable Development

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Research 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

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New Organisation since 1 st January 2008

• Research

• CNRS Labelisation
• UMR SPE  Sciences Pour lEnvironnement 
• UMR LISA  Lieux, Identités, eSpaces, Activités 
• Fédération de recherche  Environnement et
  société 
• UMS Cargèse
• lINRA, lINSERM, lIFREMER Partnerships

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New Organisation since 1st January 2008

• Bilan du contrat 2004/2007

IFREMER
INRA
INSERM
Fédération de recherche CNRSEnvironnement et
société
UMR CNRS SPE
UMR CNRS LISA
Renewable Energies Forest Fires Natural
Ressources Water Management Technologies of
Information and Communication
Identities and cultures Territories dynamics
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UMR LISA

• Central Topics IdC et DTDD

Competences Economical Sciences, Law Studies,
anthropology, archaology , linguistics,
Projects
DT and Identities and Cultures
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LA FÉDÉRATION DE RECHERCHE ENVIRONNEMENT ET
SOCIÉTE F. R. E. S

• Members 4 research entities from the Corsican
  Region
• UMR CNRS Sciences Pour lEnvironnement 
• UMR CNRS Lieux, Identités, eSpaces, Activités 
• INRA Centre de Corse San Giulianu
• INRA Centre de Corse Corte) soit plus de 300
  chercheurs.
• Main Objective Pluridisciplinary research

1/5
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RESEARCH-TEACHING
UMR SPE, UMR LISA FRES, Projets
PhD Students belonging the ED ENVIRONNEMENT ET
SOCIETE
Grants/year 2 MRT 12 from CTC 1 autre (CNRS,
CIFRE, CEA, ADEME) 6 post doc
Drive MASTERS
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Teaching

• Teaching

• Six domains , more than 80 diplomass
• LLASH, SEG, Droit, Sciences et Technologies,
  STAPS, Santé

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University of Corsica

• Conclusion

• 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

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Computer Sciences Research at the University of
Corsica

• T.I.C.

• 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.

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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 70s.
• 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 gt (port, value, time)

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DEVS 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

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DEVS 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

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Modelling and simulation using DEVS

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

Real System
modelling
validation
Model
Simulator
simulation
(Black box)
(Result)
Three entities of the modeling and simulation
process
(Equation)
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DEVS formalism

• The atomic model is defined by
• AM lt X, Y, S, ta, dint, dext, ? gt
• 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)
• - dint is the internal transition function
• - dext is the external transition function
• - ? 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 lt X,
Y, C, EIC, EOC, IC, L gt 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 
IC
AM1
CM1
X
1) Atomic Model 2) Coupled Model 3) Abstract
Simulator
Y
AM2
EOC
EIC
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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

• MSOO object oriented Modeling and Simulation
• RdN Neural Networks
• GIS Geographic Information Systems

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Methodology

• Principles
• Decomposition of the natural systems into
  interconnection of basic models
• Models representation using object technology
• Use of Neural Networks
• Links to GIS

Object Oriented Modeling of natural systems
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METHODOLOGY

• 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
Physician Mathmatician Economist

• Collaborative Software

Specialist of a Domain
Modelisator 1
Modelisator 2
Responsible for the modeling phase define the
global model from the Reusable components
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How to work

• GIS, Simulation, DATA FUSION

AcquisitionGPS
Satellite
Observation
Data Fusion GIS
Simulation MSOO
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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
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Basic Concepts (I)

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

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Basic Concepts (II)

• Description hierarchy a way to subdivide a
  system

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BASIC CONCEPTS (III)

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

Representation 2 (less detail)
Representation 1 (more detail)
Level N -1
Level N
Transfer Functions
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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

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Monte Revincu
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IMPLEMENTATION (II)
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IMPLEMENTATION (III)

• The user use the decomposition to generate a new
  representation R2, by using the button UP

Use decomposition
R1. 1pt
R2. 3 pt
Need more details
Level 1
Level 2
Archaeological field
R3
Dolmen No-dolmenic tombs
Level 3
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IMPLEMENTATION (IV)
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IMPLEMENTATION (V)
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3 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 Network

• Design and implementation of sensors network
• Study of the structure of communication protocols

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3 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.

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Project T.I.C. Technological Aspects

• These aspects concern the validation of the
• previous concepts through concrete
• applications

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Modeling and Simulation

• Fires
• Electronic Systems Testing

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Modeling and Simulation

• Wireless sensor Network Study
• Electric Circuits Design

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Modeling and Simulation

• 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 Simulation

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

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Multi Representation of Spatial Data

• Study of the orientations of
• megaliths using GIS
• Integration of 3D pictures in an
• Astronomical software
• Example 4200BC from Orca
• dolmen

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Multi Representation of Spatial Data GIS for
cultural data
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Multi Representation of Spatial Data GIS
cultural and environmental data

• 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 Network

• Sensor Base Station MBI510

• Two applications
• 1- Fires prevention 2- Wind
  turbine Parc Management
• Collaboration Univ. de Gènes

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Wireless Sensors Network
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Wireless Sensors Network

• Gesture capture system
• A receive/transmit wireless system

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Wireless Sensors Network

• Conception of Two DataGloves
• Five bend sensors and one accelerometer

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Wireless Sensors Network perspectives

• Goals submarine monitoring
• - Implementation of submarine wireless sensors
  networks

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Conclusions

• 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