ISC 2013, Industrial Simulation Conference, May 22-24, 2013, Ghent University, Ghent, Belgium, Conference Themes

Modelling Methodology

The methodology part of the ISC'2013 conference covers:

Discrete Event Modelling Methodology

Web Based Simulation, Optimization and Response Surfaces, Parallel and Distributed Systems, Virtual Worlds, Methods for Special Applications, Practice, Extensions, XML, Open Source, Model Development, Network Modeling, Distributed Simulation and Industry, Modeling Very Large Scale Systems, Aerospace Operations, Revising Simulations Components, Meta-Knowledge Simulation.

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Discrete Event Analysis Methodology

Advanced Input Modeling, Simulation Optimization, Cross Entropy, Output Analysis, Input Modeling, Simulation Optimization, Input Analysis, Difficult Queueing Problems, New Output Analysis.

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Discrete Simulation Languages and Tools

Discrete simulation languages; Object oriented modeling languages; UML and simulation; Model libraries and modularity; Component-oriented simulation; Special simulation tools and environments; Meta-models and automatic model generation; Graphical simulation environments and simulation software tools; Intelligent simulation environments; Database management of models and results; Java and Web enabled simulations, UML and OO Simulation.

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Ambient Intelligence and Simulation

Ambient Intelligence is an emerging research area that has received much attention in recent years, concerned with the implications of embedding computing devices into the environment, and how human and artificial agents can interact in such technological contexts. The infrastructure for ambient intelligence is coming on line, Computational resources are becoming cheaper, while ubiquitous network access has started to appear.

Different devices equipped with simple intelligence and the abilities to sense, communicate and act, will be unremarkable features of our world. Therefore, one takes the view that ambient intelligence is imminent and inevitable and it may be of great interest in simulation scenarios.

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Application Areas

The application section covers: Automation, CAD/CAM/CAE, Defense Electronics, Design Automation, Simulation in industrial Design, Industrial Engineering, Industrial and Process Simulation, Manufacturing, Simulations, Logistics and Transport, Power Plants, Multibody Systems, Aerospace, etc..

Simulation in Manufacturing

The goal of this track is to exchange ideas, experiences, and research results between practitioners and researchers. It shall offer the opportunity not only for presenting work done but also for discussing new challenges emerging in this area. It focuses on innovative applications of simulation in the field of production and operation management. State-of-the-art applications covering any part of the value adding chain and any aggregation level are encouraged. This track will show the efficient utilization of simulation techniques and hybrid approaches for the optimization of manufacturing processes.

This session covers: Computer Assisted Learning and Simulation Trainers, Customizing of ERP Systems using Simulation, Distributed Simulation Approaches, Hierarchical Simulation, Integrating Process Mapping and Simulation, Manufacturing Consulting, Manufacturing Controls, Model Integration Standards Optimization and Evaluation, Simulation Frameworks, Simulation of (Manufacturing) Processes in Virtual Enterprises, Virtual Factories, and Virtual Manufacturing Simulation Support Tools , Web-Based Workflow Modeling and Simulation , MRP systems; CAD; CAM; CIM; Process design; Process control; Embedded intelligent control systems; Scheduling; Automotive simulation; Robotics and automation. Manufacturing Applications Transportation and Material Handling, Best Modeling Methods, Integrating Simulation and Design, Manufacturing Modeling Architectures, Manufacturing Modeling Methods, Simulation of Manufacturing Operations, Optical Engineering and Thermofluids, Mechanotronics, Reconfigurable Manufacturing Systems: Design and Operational Strategies

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Steel Manufacturing and New Materials Simulation

Steel manufacturing production validation, steel production planning, abrasive surface modelling, surface grinding, profiling and turning processes, welding, friction stir welding and roboforming.

Ceramic, ceramic resins, epoxy, fiberglass, Kevlar, polymer, silicon carbide, Tenslyon, Graphene, Spidrex, Nano Ceramics, Nanometric Steel, High Strength Alloys, titanium and ultra-high-molecular-weight polyethylene production and usage simulation.

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Simulation in Automotive Systems

Automotive simulation of Car Design, car behaviour, vehicle driver interaction, collision tests, on board diagnostics, vision enhancement and collision warning systems, vehicle dynamics and simulation, off-road vehicle design and modelling, engineering propulsion controls simulation, power train and fluid systems simulation, hydrogen and electric engine simulation, homogeneous charge compression ignition, emissions control, brake simulation, MISRA standard Compliance.

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Race Car Simulation

Aerodynamics simulation, Atmosphere simulation, Lift-Drag Simulation, Wind Tunnel Simulation, Flow Visualization, Computational Fluid Dynamics

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Simulation in Robotics

Methodology and Simulation

Modelling, Identification and Control, Bio-mimetic Robotics and Humanoid Robots, Robot Navigation and Localization, Outdoor Robotics, Networked Robotics, Multi-Robot Systems and Parallel Robots, Telerobotics and Communication, UAV, Robot Swarms, Robot Design and Architecture, Telematics, Human Robot Interaction, Robot Vision and Sensing, Robot Data Processing, Medical Robotics and Healthcare (f.ex.INSEWING, RADHAR, BRACOG, HYFLAM projects), Manipulators.

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Robot Systems

Application of Industrial Robots, Service Robots, Control Technology, Development of Mechatronic Products, Innovation Management. Sensor Simulation, Simulation of Natural Environments Simulation of Agent-Environment Interaction /Intelligent Agents, Neural Networks and Simulation, Simulation of Collective Behaviour and Emergent Phenomena, Simulation of Learning and Adaptation Processes, Assessment Criteria and Assessment Methods for Simulators, Quantitative and Qualitative Comparisons between Originals and their Simulations, Simulation of User-System Interaction. Simulating SLAM (Simultaneous Localisation and Mapping) in robotics.

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Robots in Assembly Systems

Assembly Systems and Components, Processes Product Development and Design, Wiring Technology.

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Robots in Technical Production Planning

Technical Production Planning, Device and Equipment Technology, Production processes and Sequences, Information Technology.

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Autonomous Robot Simulation

This track covers the modelling and simulation of autonomous robots in health care and health care logistics, revalidation robots, service robots (Robosoft, Aldebaran, Gostai and Violet), submersible robots, autonomous transportation robots, autonomous robotic vehicles and military robots (BigDog, LittleDog, Rhex, RiSe, etc...)

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Simulation in Electronics, Computers and Telecommunications

Modeling and simulation of analogue circuits; Modeling and simulation of digital circuits at switch and/or at logic level; Hardware accelerators for circuit-level simulation; Hardware accelerators for logic simulation; Distributed simulation of circuits, components, and systems; Modeling and simulation of computer systems; Fault simulation; Parallel and distributed systems; High-speed networks; Network simulation software; Computer and telecommunication systems; Telecommunication devices and systems; Intelligent telecommunication networks; ISDN; ATM communications, Re-design and re-evaluation of today’s architectural principles, End-to-end virtualization of the network, Programmable network equipment such as routers, Mobile networking technologies, Alternatives to established technologies such as routing, Optical layer networking technologies, Self-management of networks, Media-aware transport services, Extremely heterogeneous edge networks, Machine-to-machine networking, Network Architectures

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Simulation in Electronics Manufacturing

Semiconductor Manufacturing Simulation

Recently, the electronics industry has become the largest industry in the world. One important area of this industry is the manufacturing of integrated circuits (IC) on silicon wafers. Semiconductor wafer fabrication facilities (wafer fabs) are complex manufacturing systems that contain hundreds of machines and thousands of lots. Currently, it seems that the improvement of operational processes creates the best opportunity to realize necessary cost reductions. Therefore, the development of efficient planning and control strategies is highly desirable in the semiconductor domain.

In order to create, implement and test the required novel strategies, it is necessary to take new opportunities of information technology into account. Modelling and Simulation are widely accepted tools in planning and production control in wafer fabs because they are able to deal with the huge complexity of modern wafer fabs.

The aim of the session consists in collecting papers from both industry and academia that deal with interesting applications and new methodologies in modelling and simulation of manufacturing systems in the electronics industry.

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Cleanroom Manufacturing

Cleanroom suitability test, microsystem technology, cleaning technology, manufacturing technology for clean environments, information systems.

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Manufacturing Technologies, Information Technology

Information Processing, Metrology and Testing Technology, Production Methods, Rapid Prototyping

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Surface Engineering

Development, optimisation and modelling of coating processes, integrated process development and management, production-orientated equipment, development, integration of coating processes into production, quality concepts for complex coating processes, surface characterization.

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Coating Technology

Simulation Based Scheduling, Supply Chain Planning Semiconductor Manufacturing, Maintenance and Repair, Scheduling and Control and Schedule Evaluation.

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Simulation of Complex Multiprocessor Systems

Multi processor systems are prone to failures. Various repair strategies can be used for such systems. This track will concentrate on the performance evaluation of complex multi-processor systems using f.ex carbon nanotubes.

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Simulation in Computer Science

Systems research, Operating systems, File System, Storage, data warehousing, in-memory computing.

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Simulation in Logistics, Traffic, Transport, Port, Airport and Hospital Logistics Simulation

Factory and Logistics Planning

Strategies and Concepts for Production and Logistics, Technical and Organizations Planning of Production and Logistics Systems, Value Stream Mapping, In-Plant Logistics, Integrated Factory and Logistics Planning, Innovative Planning Methods, tools and systems.
Production Scheduling and sequencing, Optimization of Production and Assembly Lines Design, Robust Supply Chain Management, Demand Driven Supply Networks, Inventory and routing

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Supply Chain Optimization and Network Design, Logistics supply chains, inbound logistics, materials management, Manufacturing Supply Chain Management, physical distribution, production planning and control, outbound and inbound logistics, Simulation of regional logistic systems, distribution centres, inventory theory and management, warehousing decisions, strategic inventory management, materials management, handling and packaging, logistics information systems, information management in logistics systems, logistics network design and facility location, cost modelling, Merge-in-Transit and Consolidation Centers, Inter-Firm Collaborations for Logistics, Web based logistics, Military Logistics, Strategic and Operational Carrier Selection in Transportation Auctions

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Traffic flows, multi-modal systems, transit, transportation modes, urban city transport, transportation in logistics, transportation management, traffic demand, traffic control, traffic telematics, traffic performance, safety, macroscopic, mesoscopic and microscopic simulations. Tools for risk assessment analysis and monitoring of container traffic.

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Port Simulation

Bulk Terminals, Container Terminals, Harbour Services, Industrial Facilities, Navigation Lines, Multimodal Transports, Oil Terminals, Passenger Terminals, Railways, Ro-Ro Terminals, Ships and Platforms, Supply Chains and Warehouses, Harbour Management, Safety in Maritime Environments, Vessel Traffic Systems.

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Simulation in the aviation sector

The aviation sector knows many logistic processes that are stochastic by nature. Varying from the arrival pattern of passengers, the timetable of flights affected by the weather, the technical condition of aircraft, the variability of the execution of the flight schedule of an airline or airport differs every single day. To assist in the prediction/study of the response of a logistic process in the aviation sector on disturbances simulation is a very valuable tool. This track focuses on the application of simulation in the aviation sector. Papers on case studies as well as simulation tools developed specifically for the aviation sector are welcome such as; Airport logistics simulation, passenger traffic throughput simulation, Aircraft traffic and airport capacity optimization

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Hospital Logistics

Decision support systems in medicine (diagnosis, prognosis, therapeutic, treatment follow-up...) which are based on medical knowledge representation, ontologies and cooperation of different knowledge sources. Organisation of health care units (hospital, ...) which involves management, economics, law, deontology, ethics, social and information technology aspects...f ex. Patient waiting time simulation, Emergency evacuation simulation, Brancardage, hospital occupation simulation and optimization. Healthcare Networks, Modelling of Clinical Environments, Clinical Information Flows, Patient Flows in Hospitals, Wards Planning, Drugs Inventory Management, Logistics Flow, Long and Short Time Tables of Personnel, Utility and Case Analysis of Helicopter Usage, Information and Surveillance Systems.

Humanitarian and Sustainable Logistics

Humanitarian Logistics Simulation, Sustainable Logistics and Supply Chains, Disruptions Management in Sustainable Supply Chains, Green Logistics.

Simulation in Biology, Medicine and Health Care Management

Health Care Management, Strategic Management & Resource Planning in Health Care, Operational Management in Health Care, Decision Support in Health Care, Disease Management and Emergency and Disaster Organization, Case Studies: Success Stories and Failures, Medical Informatics, Medical Instruments and Devices, Fluid Flow and Transport Processes in Biological Systems, Drug Delivery Systems.

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Call Centre and Supermarket Logistics and Services

Using stochastic models to plan call center operations, schedule call center staff efficiently, and analyze projected performance is not a new phenomenon. However, several factors have recently conspired to increase demand for call center simulation analysis. The use of in-memory computing for retail logistics.

Increasing complexity in call traffic, coupled with the almost ubiquitous use of Skill-Based Routing. Rapid change in operations due to increased merger and acquisition activity, business volatility, outsourcing options, and multiple customer channels (inbound phone, outbound phone, email,web, chat) to support. Cheaper, faster desktop computing, combined with specialized call center simulation applications that are now commercially available.

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Urban Simulation

Urban simulations for supporting planning and analysis of urban development, incorporating the interactions between land use, transportation, the economy, and the environment. This track is aimed at Metropolitan Planning Organizations (MPOs), cities, counties, non-governmental organizations, researchers and students interested in exploring the effects of infrastructure and policy choices on community outcomes such as motorized and non-motorized accessibility, housing affordability, greenhouse gas emissions, and the protection of open space and environmentally sensitive habitats.

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Complex Systems Modelling

Design and Simulation, Process Control and Optimization, Information Technology Systems, Space and Airborne Systems, Communication Networks, Cybernetics and Control, Building Engineering and Urban Infrastructures - Nonlinear Systems) Integration of AI Techniques and Simulation, Knowledge Elicitation and Representation for Complex Models, Drawing Understanding and Pattern Recognition, Machine Learning, Neural Networks and Genetic Algorithms, Simulation in Robotics and Automation, Continuous Simulation of Technical Processes, Fuzzy Models in Simulation, Wireless Communication, Mobile Communication Networks, Satellite Communication, LAN and WAN Protocols, Simulation of Switching Equipment, Design and Coding of Communication Handling Software.

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Simulation in Aerospace

Aerospace Simulation Methodology

Low Cost Simulation Environments, Rapid Simulation Prototyping, Simulation Based Design, Simulation of Satellite Navigation, systems (space segment and terrestrial applications) simulation of satellite constellations, real-time hardware-in-the-loop nab-in-the-loop simulation, flight simulation, distributed interactive simulation and HLA standards, Graphical simulation (virtual environments and virtual reality) applied to aerospace. Modelling and Simulation standards, rationalisation efforts, repositories and reuse. Simulation in support of system specification and design, simulation in support of system assembly, integration and testing. Simulation in support of flight software validation, structural dynamics of Pylon Store Coupling, Flutter Prediction, volterra kernels to model nonlinear aero-elasticity.

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Aircraft Simulation

Air Systems Simulation Modelling and Design (Airframe, Wing, Lift Coefficient, Parasitic Drag, Aircraft Stabilization, Aero-Acoustics and Vibration, Impact Dynamics, Flight Controls and Aerodynamics, Avionics, Fit Control, Landing Gear, Electric Steering Systems, Large Eddy Simulation), Control Surface Shaping, Active wing Morphing Control and Self-repair, Structures technology for future aerospace systems, Aerospace Vehicle Systems Technology (AVST), Aviation Safety Analysis Software within the Intelligent Synthesis Environment, Aviation Systems Capacity, Bio-nanotechnology simulation, Aerospace Propulsion and Power (Combustion and Energy Conversion, Fluid Flow and Mass Transport behaviour in Engines, Ultra Efficient Engine Technology, Fuel Cells, Hypersonic Craft Simulation, Ramjet Simulation, Aerothermoelastic Effects in Hypersonic Vehicles, Micro Air Vehicles Simulation, Small Aircraft Transportation Systems, Quiet Aircraft and Noise Reduction Technology, CICT Simulation, Vision-Based Autonomous Flight, Aircraft-UAV-UCAV networked flight simulation , Stealth and radar evasion technology, Thrust vectorization simulation. Applications for future flight (f.ex.. Super Jumbos, Air-Taxis, All-electric Aircraft, Scramjets, Flying Wings....), Decreasing Systems Risk and Improving Reliability

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Space Flight Simulation

Next generation launchers (f.ex future X-Pathfinder), reusable launch vehicles (RLV), Aerospace Vehicle Systems, Technology, Payload Launch Simulation, Aerospace Autonomous Operations, System studies for future space transport architectures, Rocket propulsion simulation, Space materials and structures, Aerothermodynamics, launcher health management systems, avionics and in-flight experimentation. Space Cryo Electronics, Innovative Concepts and Technologies for lunar exploration (in-situ resource utilization, nuclear propulsion, habitation, nano-technology, modular architecture.

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Marine and Maritime Simulation

Simulation in ship design, propulsion unit simulation, high speed design, water turbulence simulation, control of supercavitating underwater vehicles. Underwater detection systems simulation. Decision support Systems and maritime simulators. Furthermore this session will look at trends in marine safety and productivity through simulation training, maneuvering, channel designs and control system.

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Simulation in Industrial and Product Design

Simulation of product design; Planning and control; Reconfigurable responsive computing and process re-engineering; Integrated product and process modelling; Modelling and simulation in virtual global enterprises; Simulation based design; Qualitative and fuzzy modelling and simulation in engineering design; Modal logistics in systems design; Simulation in support of system specification and design.

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Simulation in Engineering Processes

The Modelling in Engineering Processes track focuses on the application of simulation in mechanical and structural engineering. Oscillations and Waves, Stability and Control, Computational Mechanics, Numerical Analysis, Mathematical Methods in Engineering Sciences, Optimization Advanced simulation of dynamic systems, Simulation-based design, Qualitative modelling and simulation in engineering, Fuzzy modelling and simulation, Evolutionary synthesis and evolutionary methods in design, Rapid prototyping, CASE systems in engineering design, Modal Logic systems in design, Simulation in support of system specification and design, Construction Engineering and Project Management.

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Model Driven Engineering

This track covers, requirements modeling for simulation, domain specific languages for modeling and simulation, model transformations for simulation model building, model transformations for simulation model implementation, model-driven engineering of distributed simulation systems, relationship between metamodeling standards (e.g., MOF, Ecore) and distributed simulation standards (e.g., HLA, DIS), metamodels for simulation reuse and interoperability, model-driven technologies for different simulation paradigms
(discrete event simulation, multi-agent simulation, sketch-based simulation, etc.), model-driven methods and tools for performance engineering of simulation systems, simulation tools for model-driven software performance engineering, model-driven technologies for simulation verification and validation, model-driven technologies for data collection and analysis, model-driven technologies for simulation visualization, Executable UML, Executable Architectures, SysML / Modelica integration, Simulation Model Portability and reuse, model-based systems verification and validation and simulation for model-based systems engineering

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Simulation in Civil and Building Engineering

Construction Technologies, Flooding and Erosion, Infrastructure Engineering, Measurement and Control of Building Performance, Solid Waste Management, Subsurface flow and transport and Water Supplies. Physical Vulnerability Assessment of Critical Structures using computer simulation.

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Simulation in Energy and Power Systems

Simulators: Real-Time simulation methods, GUI, Advanced modelling tools, Trainees' performance evaluation, Simulator Projects Simulation Studies: Simulation during design, Safety and environmental hazard estimation, Production optimisation. Methodology: Real-time simulation and visualisation tools, Parallel and distributed simulation. Nuclear Fuel Cycle Simulations based on Monte Carlo techniques to simulate the behaviour of Non Destructive Assay (NDA) instruments used in nuclear safeguards.

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Simulation in Multibody Systems

General: FE-Methods and Modelling of Flexible Bodies, Non-holonomic Systems and Geometrical Concepts in Multibody Dynamics, Numerical Aspects of Multibody Dynamics, Optimization and Control of Mechanisms, Articulated and Telescopic Multibody Systems, Air, Land and Sea Multibody Systems Applications.

Multibody Systems in Space: Flexible Body Systems, Orbital Injection, Satellite Injection, Rendezvous and Docking of Spacecraft, Simulation of Space Station Construction and Assembly.

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Simulation in Chemical, Petroleum and Mining Engineering

Adsorption processes, Colloidal processes, Control and Optimization Methods in Chemical Engineering, Crystallization processes, Electrochemical processes,Ion Exchange, Membrane Seperation, Micro-fluidics in Chemical processes, Multiphase Reactors, Particle Technology, Polymerisation Reactions, Scale up in Chemical Processes and Fuel Cells.

Simulation of Chemical Plants, Flow simulation, Plant control systems, network simulation, geological simulations, drilling simulations, oil transport simulations, mining simulations.

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Simulation in Military and Defense

Simulation and Visualization (2D and 3D visualization of simulations). Advanced concepts and Requirements (simulation of new concepts, requirements development, predicted impacts of technology integration, intelligent systems simulation). Advanced Integrative Multiscale Modelling. Military Entertainment Convergence (wargaming, serious games). Research, Development and Acquisition (Design, development and acquisition for new weapons systems and equipment, Simulation and Modeling for acquisition, requirements, and training (SMART), Simulation-based acquisition). Training, Exercises and Military Operations (simulation in training, simulator/exercise Integration and Management, Mission Planning and Rehearsal, Embedded Training, Assessment. Physical Modelling and Effects (Lethality, vulnerability and survivability, impact and penetration modelling, computational fluid and molecular dynamics, structural and solid mechanics modelling, ballistics and propellant simulation). Entity and System Modelling and Behaviours (human performance modelling, entity behaviours, computer generated forces, agent-based combat modelling, flock modelling and behaviour). Domains (sea, Land, Air and Space (synthetic environments (f ex.DAWARS, JWARS), virtual realities, surface and sub-surface warfare, unmanned robotic land, sea and aerial vehicle simulation (UAV, UCAV), avionics, flight control, flight simulation, simulation and control for spacecraft). Operations, Command and Control and Interoperability (battle field, battle theatre simulation, simulation during operations, CAI simulation, counterforce operations, airspace management, campaign analysis). Military Networking (network modelling and simulation, network centric warfare, information assurance modelling and simulation, simulations and the Global Information Grid). Terrain Recognition and Analysis Simulation Software, Image Analysis and Image Recognition, Asymmetric Warfare and threats. Modelling the "Cloud" concept of ever ready "orbital" units.

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Virtual Reality and Graphical Simulations in Industrial Applications

Virtual reality and computer graphics simulations applied to industrial applications in production processes and on the factory floor in the context of operator training and digital factory applications.

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Simulation of Complex Multiprocessor Systems

CUDAT is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU). Developers are using the GPU to do general-purpose scientific and engineering computing across a range of platforms.
GPU computing is possible implemented: in modeling real or virtual environment - word, simulation how powerful system - HPC, with a teraflop of floating point performance. The crunches application task designed for anything from different domain of science, finance, medicine, etc....

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Verification, Validation and Accreditation

The term validation is applied to those processes, which try to determine whether or not a simulation is correct with respect to the "reality". More prosaically, validation is concerned with the question "Are we building the right system?" Verification, on the other hand, seeks to answer the question "Are we building the system right?" Accreditation considers efforts to meet use case criteria. Here the question to answer is "Are the model and the system acceptable for use for a specific purpose?"

This track focuses general modelling aspects: model design methods, model representation forms and languages, model interpretation for verification, efforts and approaches for validation of model itself and as a part of simulation system. Application areas may range from archiving and communication technologies over industrial solutions to scientific systems.

Special attention is paid to formal approaches for verification and validation. Here, algebraic methods for the model constructing and generating as well as semantic dependent model interpreting are considered. In this context, XML-based model specification, transformation, and interpretation techniques are also significant.

The track handles VV&A methodology (VV&A planning, confidence levels, risk estimation, organisation, documentation, standards, cost estimation, technique application, result presentation, subject matter expert selection, fidelity, automation potential) as well as VV&A technology (documentation, CASE-tools, cross checking, requirements specification, knowledge based systems, configuration management, tool overview, simulation environments).


Last but not least this track also looks at:
Security Testing
- Security testing in IT and industry
- Research of existing processes for the purpose of their analysis and transformation
- New methods for effective dynamic and static process analysis either during its runtime or without necessity to run the process.
- Emulation of operating systems and virtual platforms

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Simulation and Training

Motivation & Objectives

Highly skilled staff is an essential prerequisite for the safe and effective operation of industrial production systems. Simulation-based training plays an increasingly important role in qualification of plant personnel. In specific sectors such as aerospace or power stations, training simulators have already been successfully employed for many years. Latest developments in industrial information technology as well as the introduction of virtual product and process engineering provide a new technological basis for the cost-effective implementation of training simulators. Therefore, in near future the general spread of these technology in a variety of industrial sectors and applications is expected. Today ?s best practice, latest developments, and future concepts of simulation-based training in industry will be presented.


Training simulator technology. Scenarios and procedures for operator training. Modelling approaches, tools and virtual environments for training. e-Training in distributed environments. HMI and cognitive performance. Certification and standardisation issues. Industrial applications and best practice. Requirements on R&D.

Specific High-End and Low-Cost PC-Based Simulators

Driver simulators for cars, trucks and trains, robotic vehicle driving simulators, ship and other maritime simulators, plane and space plane simulators, UAV/UCAV simulators

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The Future of Industrial Simulation: Roundtable

Simulation Standards, Future of Simulation Software, What's Virtually Possible, Real-Time Control, Equipment Interface, Supply Chain Opportunities, Customer Focus, Making Simulation relevant.

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