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[null,"1.","Record Nr.",null,"UNINA9910497103603321"]
[null,null,"Autore",null,"Obaidat Mohammad S"]
[null,null,"Titolo",null,"Simulation and Modeling Methodologies, Technologies and Applications : 10th International Conference, SIMULTECH 2020 Lieusaint - Paris, France, July 8-10, 2020 Revised Selected Papers"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing AG, , 2021"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-030-84811-6"]
[null,null,"Descrizione fisica",null,"1 online resource (244 pages)"]
[null,null,"Collana",null,"Lecture Notes in Networks and Systems Ser. ; ; v.306"]
[null,null,"Soggetti",null,"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"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 -- "]
[{"$nulls":4},"2 Process Description -- 3 Sulfuric Acid Plant Simulation -- 3.1 Sulfur Burner Simulation -- 3.2 Catalytic Conversion Reactor Simulation -- 3.3 Absorption Towers Simulation."]
[{"$nulls":4},"3.4 Heat Exchangers Simulation -- 3.5 Reaction Rate Parameters Estimation -- 3.6 Python-Unisim Communication -- 4 Results and Discussion -- 4.1 Model Validation -- 4.2 Parametric Study -- 5 Conclusion -- References -- HUBCAP: A Novel Collaborative Approach to Model-Based Design of Cyber-Physical Systems -- 1 Introduction -- 2 Challenges of Model-Based Design of CPS -- 3 The HUBCAP Collaboration Platform -- 4 The HUBCAP Sandbox Concept -- 4.1 Architecture -- 4.2 Security -- 4.3 Limitations -- 5 Catalogues of Models and MBD Services -- 5.1 Model Catalogue -- 5.2 MBD Services -- 5.3 Collaborate on a Joint HUBCAP Sandbox -- 6 The Open Call Funding Programme -- 7 Conclusion and Future Work -- References -- A Modeling Framework for an Innovative e-Health Service: The Hospital at Home -- 1 Introduction -- 2 Methodological Framework -- 3 The Hospital at Home Service -- 3.1 The As-Is Model of Hospital at Home -- 3.2 As-Is Model Simulations -- 3.3 e-Health Technologies -- 3.4 Simulations and Results -- 4 HaH and Telemedicine for COVID-19 Emergency -- 5 Conclusions -- References -- Dynamics of the Spatial Motion of the Long Boom Manipulator Based on Nonlinear Beam Element -- 1 Introduction -- 2 Methodology -- 2.1 Geometrically Exact Euler-Bernoulli Beam -- 2.2 Discrete Method of the Spline Beam Element -- 2.3 The Virtual Power Equations of the Element -- 3 The Modeling of Long Boom Manipulator: Folding Boom System -- 3.1 The Rigid Body Modeling -- 3.2 The Flexible Body Modeling -- 3.3 The Close Loop Constraints -- 3.4 The Dynamic Equations of the Complete System -- 4 Simulation and Analysis -- 4.1 Numerical Smooth -- 4.2 Initial Configuration and Selected Parameters -- 4.3 The Comparison with NODYA Calculation -- 4.4 The Simulation of the Spatial Motion -- 5 Conclusion and Outlook -- References."]
[{"$nulls":4},"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 "]
[{"$nulls":4},"Directions -- References -- Author Index."]