
Simulation and Modeling Methodologies, Technologies and Applications
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Content
- Intro
- Preface
- Organization
- Conference Chair
- Program Chairs
- Program Committee
- Invited Speakers
- Contents
- Simulation Tools and Platforms
- Simulation of Surface Plasmon Waves Based on Kretschmann Configuration Using the Finite Element Method
- Abstract
- 1 Introduction
- 2 Theory and Principles
- 2.1 Surface Plasmon Resonance (SPR) Phenomenon
- 3 The Simulated Experiments
- 4 Simulation Results
- 5 Conclusion
- References
- An Object Oriented Approach Towards Simulating Physical Systems with Fluids and Rigid Bodies Based o ...
- Abstract
- 1 Introduction
- 2 Particle Based Fluid Simulations and Rigid Body Physics
- 3 The Physolator Simulation Framework
- 4 Particle Modelling
- 5 Physical Systems with Fluids and Rigid Bodies
- 6 Using the FRB Library to Implement Physical Systems
- 7 Conclusion and Future Work
- References
- Distributed Co-simulation of Embedded Control Software Using INTO-CPS
- 1 Introduction
- 2 Exhaust Gas Water Handling System
- 3 WHS Simulation
- 3.1 The MAN Software Application Framework
- 3.2 The WHS Model
- 3.3 Simulation and Verification Process
- 3.4 Simulation Evaluation
- 4 Targeting Co-simulation
- 4.1 Functional Mock-up Interface
- 4.2 The INTO-CPS Tool Chain
- 5 WHS Co-simulation
- 5.1 Distributed COE Extension
- 5.2 Co-simulation Setup
- 5.3 Co-simulation Evaluation
- 6 Concluding Remarks
- References
- Model Oriented System Design Applied to Commercial Aircraft Secondary Flight Control Systems
- Abstract
- 1 Introduction
- 2 High Lift Systems
- 3 The Aircraft Design Process and System Engineering Approach
- 4 High Lift Functional Architecture
- 5 Mathematical Model
- 5.1 Model Architecture
- 5.2 High Lift Transmission
- 5.3 Power Drive Unit
- 5.4 Secondary Flight System Controller
- 5.5 Model Parameters
- 5.6 Model Verification
- 6 Results
- 6.1 Time Histories
- 6.2 Sensitivity Study
- 6.3 Performance Envelope
- 7 Conclusions
- References
- Simulation, Modeling and Technologies for Drones Coordination Techniques in Precision Agriculture
- 1 Drones Overview
- 2 Precision Agriculture
- 2.1 Video Analysis Systems for Supporting Precision Farming Activities
- 2.2 Use of UAV in Precision Agriculture
- 3 Coordination Techniques Based on Routing
- 3.1 Routing Protocols
- 3.2 Routing Type
- 3.3 Problem Statement for UAVs Coordination
- 3.4 Drones
- 4 UAVs Simulator to Coordinate Drones in Precision Agriculture
- 4.1 UAVS Simulator
- 4.2 Simulator Indicators in the GUI
- 4.3 Simulator Front-End
- 4.4 Proposed Recruitment Protocols
- 4.5 Performance Evaluation Through Simulator
- 5 Conclusions
- References
- Particle Based Blood Pressure Simulation in the Aorta with the Model Generated from CT Images
- 1 Introduction
- 2 Simulation Model
- 3 Simulation Method
- 4 Heart Pulsation
- 5 Simulation Results
- 6 Conclusions
- References
- Formal Methods
- Stochastic Simulation of Meteorological Non-Gaussian Joint Time-Series
- 1 Introduction
- 2 Real Data Analysis
- 3 Model Description
- 4 Extended Model
- 5 Numerical Experiments
- 6 Conclusions
- References
- Approaches to Fault Detection for Heating Systems Using CP Tensor Decompositions
- 1 Introduction
- 2 Preliminaries on Tensors
- 3 Signal-Based Fault Detection for Heating Systems
- 3.1 Fault Detection Based on Factor Matrices
- 3.2 Application Examples
- 4 Model-Based Fault Detection for Heating Systems
- 4.1 System Definition
- 4.2 Identify Parameter Tensor Slices
- 4.3 Construct Full Parameter Tensor
- 4.4 Fault Detection with Parity Equations
- 4.5 Application to Heating System Fault Detection
- 5 Conclusions
- References
- Describing Resource Allocation to Dynamically Formed Groups with Grammars
- 1 Introduction
- 2 Background
- 3 Resource Allocation and Dynamic Group Formation
- 3.1 Resource Supply
- 3.2 Candidate Group Formation
- 3.3 Final Group Formation
- 3.4 Resource Distribution
- 4 Definitions and Preliminaries
- 5 Modelling Resource Allocation to Dynamically Formed Groups
- 5.1 Modelling Resource Supply
- 5.2 Modelling Candidate Group Formation
- 5.3 Modelling Final Group Formation
- 5.4 Modelling Resource Distribution
- 6 Modelling Resource Allocation with only rPcg
- 7 Conclusions and Future Work
- References
- Parallel Simulation of Virtual Testbed Applications
- 1 Introduction
- 2 Related Work
- 2.1 Multi-threading in Modern 3D Simulators
- 3 Active Real-Time Simulation Database
- 3.1 Meta Information
- 3.2 Instances and Properties
- 3.3 Active Database
- 4 Scheduling
- 4.1 Task Scheduler and Event Queue
- 4.2 Time Controller
- 5 Modular Parallel Simulation of Virtual Testbeds
- 5.1 Simulation Thread
- 5.2 Simulation Architecture
- 5.3 Simulation Database Copies
- 5.4 Configuration of Simulation Threads
- 6 Synchronization
- 6.1 Synchronization Architecture
- 6.2 Synchronization Algorithm
- 7 Results/Validation
- 8 Conclusion/Future Work
- References
- Complete Lyapunov Functions: Computation and Applications
- 1 Introduction
- 2 Preliminaries
- 2.1 Complete Lyapunov Functions
- 2.2 Mesh-Free Collocation
- 3 Algorithm
- 4 Examples
- 4.1 Two Circular Periodic Orbits
- 4.2 Van-der-Pol Oscillator System
- 4.3 Homoclinic Orbit
- 4.4 Application to Biology
- 5 Conclusions and Outlook
- References
- Path Bundling in Modular Bipartite Networks
- 1 Introduction
- 1.1 Related Works
- 1.2 Contributions
- 2 Computing Modular Path Bundles
- 2.1 Basic Idea
- 2.2 Bundle Representation
- 2.3 Optimization Problem
- 3 Computational Experiments
- 3.1 Experimental Settings
- 3.2 Results and Discussion
- 4 Conclusion
- References
- Complex Systems Modeling and Simulation
- Using Gazebo to Generate Use Case Based Stimuli for SystemC
- 1 Introduction
- 2 Related Work
- 3 Design and Implementation
- 4 Evaluation
- 5 Future Work
- 6 Conclusions
- References
- Modeling Performance and Energy Efficiency of Virtualized Flexible Networks
- Abstract
- 1 Introduction
- 2 Energy-Efficiency Modelling and Control Aspects
- 3 Managing the QoS-Energy Trade-off in Virtualised Networks
- 4 The Experience of Two H2020 European Projects
- 4.1 INPUT - In-Network Programmability for Next-Generation Personal Cloud Service Support
- 4.2 MATILDA - A Holistic, Innovative Framework for Design, Development and Orchestration of 5G-Ready Applications and Network Services Over Sliced Programmable Infrastructure
- 5 Conclusions
- References
- Fast Algorithms for Computing Continuous Piecewise Affine Lyapunov Functions
- 1 Introduction
- 1.1 Notation
- 2 The Simplicial Complex TstdN,K
- 2.1 Added Functionality in [basicstyle=]| T_std_NK|
- 3 The Simplicial Complex TF
- 3.1 Implementation of [basicstyle=]| class FT|
- 3.2 Fast Search for SF Such that xSF
- 4 Computing Values of V() for VTF Directly
- 5 Summary
- References
- A Resource Flow Based Multistage Dynamic Scheduling Method for the State-Dependent Work
- Abstract
- 1 Introduction
- 2 Related Work
- 3 A Multistage Model for the State-Dependent Work
- 4 Resource Flow Based Dynamic Scheduling
- 4.1 Resource Flow Based Order Selection Method
- 4.2 Man-Hour Allocation Method
- 5 Multistage Model of Project Cost Estimation Process
- 6 Numerical Examples in Project Cost Estimation Process
- 6.1 Design of Simulation Experiments
- 6.2 Results of Simulation Experiments
- 7 Conclusion
- Acknowledgements
- References
- Application Domains
- Simulation Based Behavior for a Welfare Robot
- 1 Introduction
- 2 Related Work
- 3 Experimental Setup and Methodology
- 3.1 Tracking and Visual Servoing
- 3.2 Action Parametrization
- 3.3 Action Simulation
- 3.4 Action Learning
- 4 Results
- 4.1 Optimal Action for Pick-Up
- 4.2 Pick-Up Action Verification on the Real System
- 4.3 Optimal Action for Peg-in-Hole
- 4.4 PiH Action Verification on the Real System
- 5 Conclusions
- References
- Applying Deep Learning for Surrogate Construction of Simulation Systems
- 1 Introduction
- 2 Material and Method
- 3 Results
- 4 Conclusion and Discussion
- References
- A General Method to Compare Different Co-simulation Interfaces: Demonstration on a Case Study
- 1 Introduction
- 1.1 Motivation and Background
- 1.2 Tools and Interfaces
- 2 Method
- 2.1 Comparison with a Reference Simulation
- 2.2 Case Study
- 3 Model
- 3.1 Heat Storage Modelled in Trnsys
- 3.2 Heat Sink Modelled in Simulink
- 3.3 Co-simulation
- 4 Settings
- 4.1 Type155
- 4.2 BCVTB and FMI
- 5 Results
- 5.1 System Behaviour
- 5.2 Monolithic Simulation
- 5.3 Strong Coupling
- 5.4 Loose Coupling: Sequential
- 5.5 Loose Coupling: Parallel
- 6 General Method for Accuracy Estimation
- 7 Discussion
- 8 Conclusions
- References
- Author Index
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