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[null,"1.","Record Nr.",null,"UNISA996503563903316"]
[null,null,"Autore",null,"Fan Wenhui"]
[null,null,"Titolo",null,"Methods and Applications for Modeling and Simulation of Complex Systems : 21st Asia Simulation Conference, AsiaSim 2022, Changsha, China, December 9-11, 2022, Proceedings, Part II"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer, , 2023"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"981-19-9195-2"]
[null,null,"Descrizione fisica",null,"1 online resource (639 pages)"]
[null,null,"Collana",null,"Communications in Computer and Information Science ; ; v.1713"]
[null,null,"Disciplina",null,"003.3"]
[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 -- Contents - Part II -- Contents - Part I -- Application of Modeling/Simulation in Science/Engineering/ Society/Economy/Management/ Energy/Transportation/ Life/Biology/Medicine etc. -- Flux Modelling of Membrane Bioreactor Process Plant Using Optimized-BPNN -- 1 Introduction -- 2 Artificial Neural Network Principle -- 2.1 Data Preprocessing -- 2.2 Performance Evaluation -- 2.3 Back-Propagation Neural Network -- 3 ANN Based MBR Model Development -- 4 Results and Discussion -- 5 Conclusion -- References -- An Efficient Method of Calculating Stress Intensity Factor for Surface Cracks in Holes Under Uni-variant Stressing -- 1 Introduction -- 2 General Weight Function Method -- 3 Construction of the Matrix of Reference Solutions -- 3.1 Sensitivity of Parameters -- 3.2 Influence of Parameters of Hole Shape -- 3.3 Conclusions of Sensitivity Analysis -- 4 Application -- 5 Conclusion -- References -- Modeling and Simulation Based on Concurrent FC-AE-1553 Network -- 1 Introduction -- 2 Topology Modeling of FC-AE-1553 Networks -- 2.1 Bus Topology Model -- 2.2 Switched Topology Model -- 3 Message Modeling of Concurrent FC-AE-1553 Network -- 4 Network Schedule Modeling Based on Priority -- 4.1 Periodic Scheduling Optimization Mechanism -- 4.2 Burst Scheduling Optimization Mechanism -- 5 Simulation and Analysis -- 6 Conclusion -- References -- Research on Modeling and Simulation Method of Laser System for Multi-domain Unified Model -- 1 Introduction -- 2 Modeling and Simulation Method of Laser System for Multi Domain Unified Model -- 2.1 Modeling Method of Laser System Based on Lumped Parameter Method -- 2.2 "]
[{"$nulls":4},"Co-simulation Method of Opto-Mechanical System Based on Multi-domain Unified Model -- 3 Modeling and Simulation Experiment of Laser System -- 3.1 Optical Component Model Based on Modelica."]
[{"$nulls":4},"3.2 Laser System Simulation in Sysplorer -- 4 Conclusion -- References -- Fast Electromagnetic Scattering Modeling of Complex Scenes Based on Multi-scale Coherent Computation -- 1 Introduction -- 2 Integrated Scattering Modeling Principle of Multi-scale Target and Complex Environment -- 3 Bouncing Ray Method Based on Curvature Adaptive Subdivision -- 3.1 Beam Tracking Based on Curvature Adaptive Subdivision -- 3.2 Field Strength Tracking -- 3.3 Far Field Integral -- 4 Scattering Correction of Rough Surface Based on Multi-scale Coherent Superposition -- 5 Simulation Results and Analysis -- 5.1 Typical Target Scattering Calculation -- 5.2 Scattering Calculation of Sea Surface Environment -- 5.3 Application Verification of Coupling Electromagnetic Scattering in Complex Scene -- 6 Summary -- References -- Pixelated Image Abstraction via Power Diagram -- 1 Introduction -- 2 Related Work -- 2.1 Power Diagram -- 2.2 CCCPD -- 2.3 Image Abstraction -- 3 Image Abstraction Based on Power Diagram -- 3.1 Overall Method -- 3.2 Pre-processing and Density Initialization -- 3.3 Image Segmentation Based on the Power Diagram -- 3.4 Color Filling -- 4 Experiment -- 4.1 Results Analysis -- 4.2 Abstract Controlling -- 4.3 Comparison -- 5 Conclusion -- References -- SMT Component Defection Reassessment Based on Siamese Network -- 1 Introduction -- 2 Proposed Method -- 2.1 Siamese Network -- 2.2 Loss Function -- 2.3 Detailed Detection Scheme -- 3 Experiments -- 3.1 Experimental Data -- 3.2 Optimization -- 3.3 Results and Evaluation -- 3.4 Conclusion -- References -- Real Time Traffic Sign Recognition Algorithm Based on SG-YOLO -- 1 Introduction -- 2 Related Work -- 2.1 Traditional Detection Methods -- 2.2 Deep-Learning Based Detection Methods -- 3 Principles of Algorithm -- 4 SG-YOLO Network Model -- 4.1 Ghost-Bottleneck -- 4.2 Channel Attention Mechanism."]
[{"$nulls":4},"4.3 SG-YOLO Network Architecture -- 4.4 DIoU Loss Function -- 5 Experiments and Analysis -- 5.1 Experimental Environment -- 5.2 Evaluation Metrics -- 5.3 Dataset and Processing -- 5.4 Results and Analysis -- 6 Conclusions -- References -- Research on Task Oriented Reliability Simulation Evaluation and Maintenance Strategy Optimization of Degraded System -- 1 Introduction -- 2 Introduction -- 2.1 Component System -- 2.2 Multi-component System -- 3 Reliability Model of Degraded System -- 3.1 Multi-state Transfer Process -- 3.2 System Availability Model -- 4 Research on Reliability Modeling of Degraded System -- 4.1 Multi Component System Interaction -- 4.2 Simulation Model Design -- 4.3 Simulation Algorithm Design -- 5 Case Analysis -- 5.1 Model Assumptions -- 5.2 Result Analysis -- 6 Summary -- References -- A Campus Scene Navigation Scheme Based on MPCC Dynamic Obstacle Avoidance Method -- 1 Introduction -- 2 System Overview -- 2.1 System Hardware -- 2.2 System Modules -- 3 Proposed Method -- 3.1 Static Obstacle Collision Detection Based on Voxel Grid -- 3.2 MPCC-Based Dynamic Obstacle Avoidance Strategy -- 4 Experiment -- 5 Conclusion and Future Work -- References -- Numerical Simulation of Ship Tank Sloshing Based on MPS Method -- 1 Introduction -- 2 MPS Method -- 2.1 Mathematical Formulation -- 2.2 Procedure of Numerical Simulation -- 3 Validation -- 4 Numerical Results -- 4.1 Description of Test Cases -- 4.2 Snapshots of Flow Field -- 5 Conclusions -- References -- Simulation Study of Dynamic Reactive Power Optimization in Distribution Network with DG Based on Improved Lion Swarm Algorithm -- 1 Introduction -- 2 The RPO Model -- 2.1 The Objective Function -- 2.2 Constraints -- "]
[{"$nulls":4},"2.3 Reactive Power of the Distributed Power Supply -- 3 The Time Division Method -- 4 An Improved LSO Algorithm -- 4.1 Principles of the LSO algorithm."]
[{"$nulls":4},"4.2 The Random Black Hole Mechanism -- 5 Simulation Analysis -- 6 Conclusion -- References -- Observation Geometry Improvement of BDS by Near-Space Balloons in Regional Navigation Augmentation -- 1 Introduction -- 2 Methodology -- 3 Experiment Design and Results -- 3.1 Experiment Design -- 3.2 Experiment Design -- 4 Conclusion -- References -- Application of FE Simulation Method in the Field of Electrical Contact Performance Analysis -- 1 Introduction -- 2 Analysis Method of Electrical Contact Performance Based on FE Simulation -- 2.1 Mechanical Field Simulation -- 2.2 Thermoelectric Coupling Field Simulation -- 3 FE Simulation Results and Discussion -- 3.1 Mechanical Field -- 3.2 Thermoelectric Field -- 4 Conclusion -- References -- Damage Localization and Imaging of Composite Materials Based on Sparse Reconstruction Using Lamb Wave Anisotropy Propagation Model -- 1 Introduction -- 2 Theory -- 2.1 Damage Imaging Problem as a Sparse Reconstruction Problem -- 2.2 Lamb Wave Scattering Model in Composite Fiber Laminate -- 3 Methodology -- 3.1 Damage Dictionary Construction -- 3.2 Sparse Reconstruction Solution and Damage Localization Imaging -- 4 Experimental Research and Result Analysis -- 5 Conclusion -- References -- 5G Wireless Network Digital Twin System Based on High Precision Simulation -- 1 Introduction -- 2 Communication System Simulation -- 2.1 Fundamentals of Communication System Simulation -- 2.2 Wireless Communication Propagation Model -- 3 5G Wireless Network Digital Twin System Construction and Application Research -- 3.1 Construction of 5G Wireless Network Digital Twin System -- 3.2 Application Research of 5G Wireless Network Digital Twin System -- 4 Conclusion -- References -- A Hardware-in-the-Loop Microgrid Simulation Method Based on TwinCAT3-Take Black Start as An Example -- 1 Introduction."]
[{"$nulls":4},"2 Construction of Microgrid Equipment Model -- 2.1 Equipment Modelling -- 2.2 From MATLAB/Simulink to TwinCAT3 -- 3 Construction of the Simulation Environment -- 4 Verification of Hardware-in-the-Loop Simulation Method for Microgrid Based on TwinCAT3 -- 5 Conclusion -- References -- Day-Ahead Scheduling of PV Consumption in Distribution Networks Based on Demand Response of Multiple Types of Customer-Side Loads -- 1 Introduction -- 2 User-Side Load Modeling -- 2.1 Distributed PV Output Load Modeling -- 2.2 Residential Customer Load Model -- 2.3 Commercial User Load Model -- 2.4 Electric Vehicle Charging Load Model -- 3 Day-Ahead Dispatch Model of a Distribution Network Based on Customer-Side Demand Response -- 3.1 Demand Response Incentive Costs -- 3.2 Customer Satisfaction Assessment and Demand Response Balance Point Modeling -- 3.3 Demand Response Day Dispatch Model -- 3.4 Binding Conditions -- 3.5 Demand Response Day Dispatch Model -- 3.6 Model Solving Method -- 4 Algorithm Simulation -- 4.1 Algorithm Parameters -- 4.2 The Role of Demand Response in Suppressing Node Voltage Fluctuations -- 4.3 Analysis of Incentive Cost Results for Scenario 2 -- 4.4 Analysis of User Satisfaction Results for Scenario 3 -- 4.5 Demand Response Balance Point Analysis -- 5 Conclusion -- References -- A Simulink-Based Control Method for Energy Storage Assisted Black-Start -- 1 Introduction -- 2 Architecture of Energy Storage Assisted Black-Start -- 2.1 Microgrid System Structure -- 2.2 Analysis of Black Start Capability of Energy Storage Devices -- 2.3 Energy Storage Assisted Black Start Strategy -- 3 Microgrid System Modeling and Control Implementation -- 3.1 Microgrid Simulink "]
[{"$nulls":4},"Simulation Model Building -- 3.2 Black Start Control Strategy Implementation -- 4 Simulation Results Analysis -- 4.1 Simulink Simulation Results Analysis -- 4.2 Practical Engineering Applications."]
[{"$nulls":4},"5 Conclusion."]
[null,null,null,"Sommario/riassunto","The two-volume set CCIS 1712 and 1713 constitutes the proceedings of the 21st Asian Simulation Conference, AsiaSim 2022, which took place in Changsha, China, in January 2023. Due to the Covid pandemic AsiaSim 2022 has been postponed to January 2023.The 97 papers presented in the proceedings were carefully reviewed and selected from 218 submissions.The contributions were organized in topical sections as follows: Modeling theory and methodology; Continuous system/discrete event system/hybrid system/intelligent system modeling and simulation; Complex systems and open, complex and giant systems modeling and simulation; Integrated natural environment and virtual reality environment modeling and simulation; Networked Modeling and Simulation; Flight simulation, simulator, simulation support environment, simulation standard and simulation system construction; High performance computing, parallel computing, pervasive computing, embedded computing and simulation; CAD/CAE/CAM/CIMS/VP/VM/VR/SBA; Big data challenges and requirements for simulation and knowledge services of big data ecosystem; Artificial intelligence for simulation; Application of modeling/simulation in science/engineering/society/economy /management/energy/transportation/life/biology/medicine etc; Application of modeling/simulation in energy saving/emission reduction, public safety, disaster prevention/mitigation; Modeling/simulation applications in the military field; Modeling/simulation applications in education and training; Modeling/simulation applications in entertainment and sports."]