ESM'2009, October 26-28, 2009, Holiday Inn Leicester, Leicester, United Kingdom, Conference Workshops


Workshop Simulation with Petri Nets

Petri nets were introduced by C.A. Petri as a "finitary combinatorial model of event topology which, is in close correspondence with the models of modern physics, is capable of describing total information flow, and has proven superior to some conventional models both in construction and in analysis of systems of complex organization". Although many other models of concurrent and distributed systems have been developed, Petri nets are still considered "a central model for concurrent systems with respect to both the theory and the applications" due to the natural way they allow to represent reasoning on concurrent active objects which share resources and their changing states.

The huge amount of work invested in making the modelling power of Petri nets formalism more and more intensive, led to a continuous evolution of this area, such that "Petri nets" is currently a generic name for a whole class of models divided into three main layers (ranging from Elementary Net Systems and Place/Transition nets to traditional High Level nets and High Level nets with abstract data types). For the performance evaluation of the modelled system, time execution and/or stochastic processes have also been considered, leading to important extensions to the above general Petri nets classification: Timed and Stochastic Petri nets.

Petri nets are widely considered as an operational (rather than denotational) formalism for Discrete Event Systems. They have proven to be useful in solving difficult discrete-event problems in a variety of application domains such as in software engineering, operating systems, databases, communication and co-operation protocols in distributed systems, manufacturing systems, defence command and control, business processes and telecommunications, etc.
As investigations in this area show, Petri nets also cover a large number of currently active research areas. Despite the great amount of work and achievements, much effort is still to be done to meet the applications requirements.

This workshop is intended to provide a forum for the presentation and discussion of original ideas, recent results and achievements by researchers, students and system developers on issues and challenges related to the above domain.
We invite to submit original contributions addressing, but not limited to one of the following topics:
-- Simulation using Petri Net Systems,
-- Place/Transition nets,
-- High-level Petri nets,
-- Timed and Stochastic Petri nets,
-- Temporal and real-time logics with respect to Petri nets,
-- Analysis methods of High Level nets and their time extensions,
-- Modular Petri nets,
-- Object-oriented Petri nets (OOPNs),
-- Computer tools based on OOPNs,
-- Applications of OOPNs.

Submit your proposal on Petri Nets here

Workshop Modelling and Simulation with Bond Graphs

The Bond Graph Workshop will bring experts together for the purpose of discussing new concepts, methods, techniques, tools and applications of this energy-based modelling methodology. Papers dealing with all aspects of the use of bond graphs in system design, analysis, and control are welcome. The workshop will provide a forum for the presentation and discussion of recent research and applications of the Bond Graph methodology. Research papers are welcome in the following categories of presentation: Tutorials, Panel Discussions, Software and Tools, Bond Graph Theory, Advanced Bond Graph Methodology, Bond Graphs and Block Diagrams, Computer Graphics and Bond Graph Modelling, Qualitative Modelling, Mechatronics Systems, Mechanical Systems and Robotics, Electrical and Power Systems, Control Systems, Thermal and Chemical Systems, Biomechanics and Prosthetics, Ecological Systems, Biological and Medical Systems, Social and Economic Systems, Industrial Applications, Large, Nonlinear Models.

Submit your proposal in bond graph simulation here

DEVS Workshop

The DEVS Workshop will cover: Extensions to the DEVS formalism, DEVS and Distributed DEVS frameworks, DEVS-based next generation VHDL, DEVS standardization, DEVS applications.

Submit your proposal in DEVS here

Fluid Flow Modelling Simulation Workshop

Papers are solicited in:Conventional fluid dynamics, New developments in boundary tracking, adaptive multiscale meshes, algorithm stability, turbulence.

Atomistic methods

Ab-initio and classical molecular dynamics, direct simulation Monte Carlo.

Mesoscopic methods

Lattice gases, lattice-Boltzmann, smoothed particle dynamics, \dissipative particle dynamics, discrete simulation automata, etc.

Hybrid methods

Atomistic-mesoscopic and mesoscopic-continuum: direct simulation Monte Carlo, adaptive-mesh dissipative-particle dynamics, etc.

Multidisciplinary and industrial applications

Chemical and biomedical engineering, automotive, oil extraction and aeronautic industry, flow in porous media, Fluid Dynamics Simulation, Fluid Dynamics Simulation in Turbomachinery Flow Analysis of Pump Turbines, Water, air, vibration analysis through fluid flow modelling, Electromagnetic Field Simulation, Virtual Wind Tunnels, Structural analysis Statics (Stress, Deformation), Dynamics (Vibration), Eigen value, Fatigue, Thermal load Electric power plants, General plant components Computational fluid dynamics Compressible flow, Incompressible flow, Heat transfer, Multiphase/multi component flow, Combustion, Reaction,, Noise (Flow-induced sound) Gas turbines/Steam turbines,Combustors, Nuclear plant components, Hydro turbines, Pumps, Heat exchangers, Piping systems Computational electro-magnetics Static elecromagnetics, Eddy current, Electromagnetic wave, Electric circuit Nuclear fusion reactor, Transformers, Switch gear, Rotating machinery, Inverters/Converters Coupled problems Fluid-structure coupled analysis, (Flow-induced vibration), Fluid-electric field coupled analysis, (Insulation) Heat exchangers, Electric power transmission components.

Submit your proposal in fluid flow simulation here

CoSSoM'09 - Complex systems and self-organization modelling

The aim of this workshop is to concern itself with the use of emergent computing and self-organization modelling within various applications of complex systems. We focus our attention both on the innovative concepts and implementations to model self-organizations, but also the relevant applicative domains which can use them in an efficient way. The first part covers, collective intelligence and dynamic combinatorics are conceptual tools which can be used to model self-organization processes. The second part covers, geographical information systems (GIS), cognitive sciences and natural ecosystems are some relevant applicative domains on which we propose to focus our attention.

Check out the website

Submit your proposal in complex systems simulation here

Models and simulations for Emergency and Risk Management

Multiple and unexpected failures but also catastrophes waiting to happen are built into our "society's complex systems". This is a matter of increasing concern. How should we understand, control or avoid such potential crisis on a local/global scale, where local interactions play a major role?

Simulations are powerful tools in a context where risk is the product of probability of accident by the losses per accident. This risk can be major when it is collective, the occuring frequency is low, the impacts on humans or environment are very important. In this kind of risk, it is necessary to engage exceptional resources to prevent, to forsee and to help. This aspect is very important, but some crises have demonstrated that the problems can be in upstream and it is also necessary to consider the detection, the defects diagnosis and the supervision of risk systems.

We solicit contributions on (not exhaustive):

  • Modeling risk (including technical, environmental and human factors) to prevent and to manage
  • Tools of analysis, detection and early diagnosis
  • Population flow before, during and after the crisis
  • Information flow for the emergency
  • .....

Submit your proposal in Emergency and Risk management here