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Simulation and Modeling Methodologies, Technologies and Applications : 10th International Conference, SIMULTECH 2020 Lieusaint - Paris, France, July 8-10, 2020 Revised Selected Papers
| Simulation and Modeling Methodologies, Technologies and Applications : 10th International Conference, SIMULTECH 2020 Lieusaint - Paris, France, July 8-10, 2020 Revised Selected Papers |
| Autore | Obaidat Mohammad S |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (244 pages) |
| Altri autori (Persone) |
OrenTuncer
RangoFloriano De |
| Collana | Lecture Notes in Networks and Systems Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-030-84811-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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. |
| Altri titoli varianti | Simulation and Modeling Methodologies, Technologies and Applications |
| Record Nr. | UNINA-9910497103603321 |
Obaidat Mohammad S
|
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simulation and Modeling Methodologies, Technologies and Applications : 10th International Conference, SIMULTECH 2020 Lieusaint - Paris, France, July 8-10, 2020 Revised Selected Papers / / edited by Mohammad S. Obaidat, Tuncer Oren, Floriano De Rango
| Simulation and Modeling Methodologies, Technologies and Applications : 10th International Conference, SIMULTECH 2020 Lieusaint - Paris, France, July 8-10, 2020 Revised Selected Papers / / edited by Mohammad S. Obaidat, Tuncer Oren, Floriano De Rango |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (244 pages) |
| Disciplina | 003.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Engineering mathematics Computational Intelligence Engineering Mathematics |
| ISBN | 3-030-84811-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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. |
| Record Nr. | UNINA-9910523893703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simulation and Modeling Methodologies, Technologies and Applications : 8th International Conference, SIMULTECH 2018, Porto, Portugal, July 29-31, 2018, Revised Selected Papers / / edited by Mohammad S. Obaidat, Tuncer Ören, Floriano De Rango
| Simulation and Modeling Methodologies, Technologies and Applications : 8th International Conference, SIMULTECH 2018, Porto, Portugal, July 29-31, 2018, Revised Selected Papers / / edited by Mohammad S. Obaidat, Tuncer Ören, Floriano De Rango |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (211 pages) |
| Disciplina | 003.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computer simulation Computational Intelligence Artificial Intelligence Simulation and Modeling |
| ISBN | 3-030-35944-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Atomistic Modelling and Simulation of Transmission Electron Microscopy Images: Application to Intrinsic Defects of Graphene -- Using Simulation in Business Process Analysis and Risk Management: The Blood Bank Case Study -- An SDN/NFV Based Approach for Mobility Management in 5G Networks -- Dockemu: An IoT Simulation Framework based on Linux Containers and the ns-3 Network Simulator - Application to CoAP IoT Scenarios -- Iterative Construction of Complete Lyapunov Functions: Analysis of Algorithm Efficiency -- A Pre-step Stabilization Method for Non-iterative Co-simulation and Effects of Interface-jacobians Identification -- A Heating Systems Application of Feedback Linearization for MTI Systems in a Tensor Framework -- Syntactic Generation of Similar Pictures -- Mathematical Modeling of Alkaline Methanol Oxidation for Design of Efficient Fuel Cells. |
| Record Nr. | UNINA-9910484607003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simulation and Modeling Methodologies, Technologies and Applications : 7th International Conference, SIMULTECH 2017 Madrid, Spain, July 26–28, 2017 Revised Selected Papers / / edited by Mohammad S. Obaidat, Tuncer Ören, Floriano De Rango
| Simulation and Modeling Methodologies, Technologies and Applications : 7th International Conference, SIMULTECH 2017 Madrid, Spain, July 26–28, 2017 Revised Selected Papers / / edited by Mohammad S. Obaidat, Tuncer Ören, Floriano De Rango |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (376 pages) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computer simulation Computational Intelligence Artificial Intelligence Computer Modelling |
| ISBN | 3-030-01470-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484767503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||