Simulation and Modeling Methodologies, Technologies and Applications

Name: Simulation and Modeling Methodologies, Technologies and Applications | 10th International Conference, SIMULTECH 2020 Lieusaint - Paris, France, July 8-10, 2020 Revised Selected Papers
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10th International Conference, SIMULTECH 2020 Lieusaint - Paris, France, July 8-10, 2020 Revised Selected Papers

Mohammad S. Obaidat Tuncer Oren Floriano De Rango(Editor)

Springer (Publisher)

Published on 7. August 2021

XIV, 230 pages

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978-3-030-84811-8 (ISBN)

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Content

Intro
Preface
Organization
Conference Chair
Program Chair
Program Committee
Additional Reviewers
Invited Speakers
Contents
Application of Photogrammetric Object Reconstruction for Simulation Environments in the Context of Inland Waterways
1 Introduction
2 Toolchain
3 Changes for the Application at Inland Waterways
4 Comparison of the Photogrammetric Reconstruction Programs
4.1 Quality
4.2 Computational Effort
5 Conclusion
6 Outlook
References
On-demand Simulation of Future Mobility Based on Apache Kafka
1 Introduction
2 Related Work
3 Architecture
3.1 Communication
3.2 Scenario Description
3.3 Simulation Domain and Layer
3.4 Life-Cycle of a Simulation Scenario
4 Publish/Subscribe Communication
4.1 Quality of Service
4.2 Kafka
4.3 Topic Structure
5 Distributing Simulation Scenarios
5.1 Partitioned Simulations
5.2 Multi-level Simulations
5.3 Co-simulations
6 Time Synchronization
6.1 Time Synchronization Paradigms
6.2 Implemented Synchronization Mechanism
7 Performance Evaluation
8 Conclusion
References
Augmentation of Sunflower-Weed Segmentation Classification with Unity Generated Imagery Including Near Infrared Sensor Data
1 Introduction
2 Related Work
2.1 CNNs in Precision Agriculture
3 Sunflower Dataset
4 Simulated Crop
4.1 Unity Level
5 CNN Deep Learning Training
5.1 Dataset Distribution
5.2 Evaluation Method
6 Results
6.1 Discussion
7 Conclusion
References
Simulation and Optimization of an Industrial Sulfuric Acid Plant with Contact Process Using Python-Unisim Design
1 Introduction
2 Process Description
3 Sulfuric Acid Plant Simulation
3.1 Sulfur Burner Simulation
3.2 Catalytic Conversion Reactor Simulation
3.3 Absorption Towers Simulation
3.4 Heat Exchangers Simulation
3.5 Reaction Rate Parameters Estimation
3.6 Python-Unisim Communication
4 Results and Discussion
4.1 Model Validation
4.2 Parametric Study
5 Conclusion
References
HUBCAP: A Novel Collaborative Approach to Model-Based Design of Cyber-Physical Systems
1 Introduction
2 Challenges of Model-Based Design of CPS
3 The HUBCAP Collaboration Platform
4 The HUBCAP Sandbox Concept
4.1 Architecture
4.2 Security
4.3 Limitations
5 Catalogues of Models and MBD Services
5.1 Model Catalogue
5.2 MBD Services
5.3 Collaborate on a Joint HUBCAP Sandbox
6 The Open Call Funding Programme
7 Conclusion and Future Work
References
A Modeling Framework for an Innovative e-Health Service: The Hospital at Home
1 Introduction
2 Methodological Framework
3 The Hospital at Home Service
3.1 The As-Is Model of Hospital at Home
3.2 As-Is Model Simulations
3.3 e-Health Technologies
3.4 Simulations and Results
4 HaH and Telemedicine for COVID-19 Emergency
5 Conclusions
References
Dynamics of the Spatial Motion of the Long Boom Manipulator Based on Nonlinear Beam Element
1 Introduction
2 Methodology
2.1 Geometrically Exact Euler-Bernoulli Beam
2.2 Discrete Method of the Spline Beam Element
2.3 The Virtual Power Equations of the Element
3 The Modeling of Long Boom Manipulator: Folding Boom System
3.1 The Rigid Body Modeling
3.2 The Flexible Body Modeling
3.3 The Close Loop Constraints
3.4 The Dynamic Equations of the Complete System
4 Simulation and Analysis
4.1 Numerical Smooth
4.2 Initial Configuration and Selected Parameters
4.3 The Comparison with NODYA Calculation
4.4 The Simulation of the Spatial Motion
5 Conclusion and Outlook
References
Malaria Control: Epidemic Progression Calculation Based on Individual Mobility Data
1 Introduction
2 Related Work
2.1 Epidemic Modeling Approaches
2.2 Malaria Modeling Approach
3 Mobility Data Model
3.1 Simulating Individuals Mobility
4 Discrete Malaria Model
4.1 Global Model Overview
4.2 Discrete Patch Model
4.3 Discrete Individuals Model
5 Model Computation
5.1 Overview of the Computation Steps
5.2 Computing State Change Probabilities
5.3 Scalable Model Computation
6 Implementation and Validation
6.1 Experimental Setup
6.2 Experimental Objectives and Method
6.3 Impact of Individual Mobility
6.4 Relevance of the Model to Match the Kedougou Real Case
6.5 Vector Control Efficiency
7 Discussion
8 Conclusion
References
Investigation of Induced Loads, Stresses, Strains and Vibrations in a High Pressure Multistage Centrifugal Pump
1 Introduction
2 Model Description
3 Mathematical Formulation
3.1 Liquid Flow Velocity and Pressure
3.2 Axial and Radial Forces
3.3 Stress and Strains
3.4 Vibration Equations
4 Results and Discussion
4.1 Case Study
4.2 Comparison of the Results
5 Conclusion
References
A Novel Approach to Energy Management in Large Passenger and Cruise Ships: Integrating Simulation and Machine Learning Models
1 Introduction
2 Related Work
3 The Architecture of the Overall Solution
3.1 Example Use Cases
3.2 Architecture Details
3.3 Integration Aspects
4 The Proposed Approach
4.1 Agent-Based Simulation
4.2 ML Algorithms
5 Experimental Evaluation
5.1 Night Club
5.2 Kindergarten
5.3 Casino
5.4 Restaurant
6 Data Analysis and Synthesis
7 Statistical Validation of the Insights Produced by Machine Learning Models
8 Concluding Remarks and Future Work Directions
References
Author Index

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Simulation and Modeling Methodologies, Technologies and Applications

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