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Advanced prognostic predictive modelling in healthcare data analytics / / Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal, editors
| Advanced prognostic predictive modelling in healthcare data analytics / / Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (317 pages) |
| Disciplina | 610.28563 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Artificial intelligence - Medical applications
Medical informatics Information visualization Pronòstic mèdic Simulació per ordinador Intel·ligència artificial en medicina Informàtica mèdica Mineria de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-16-0538-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483684603321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in simulation and digital human modeling : proceedings of the AHFE 2021 virtual conferences on human factors and simulation, and digital human modeling and applied optimization, July 25-29, 2021, USA / / Julia L. Wright [and three others], editors
| Advances in simulation and digital human modeling : proceedings of the AHFE 2021 virtual conferences on human factors and simulation, and digital human modeling and applied optimization, July 25-29, 2021, USA / / Julia L. Wright [and three others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2021] |
| Descrizione fisica | 1 online resource (399 pages) |
| Disciplina | 621.367 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Optical data processing
Computational intelligence - Simulation methods Simulació per ordinador Processament òptic de dades Intel·ligència computacional |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-79763-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Advances in Human Factors and Ergonomics 2021 -- Preface -- Contents -- Modeling and Simulation for Human-Human and Human-Agent Teaming -- Human-Autonomy Teaming with Learning Capable Agents: Performance and Workload Outcomes -- 1 Introduction -- 2 Background -- 2.1 AI/ML -- 2.2 Transparency -- 2.3 Workload -- 3 Current Study -- 4 Methods -- 4.1 Participants -- 4.2 Equipment/Simulator -- 4.3 Study Design -- 4.4 Dependent Measures -- 4.5 Procedure -- 5 Results -- 5.1 Correct Classifications -- 5.2 Response Times -- 5.3 Workload -- 6 Discussion -- References -- Examining Vigilance in a Simulated Unmanned Aircraft System (UAS) Monitoring Task -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Quantifying Survivability via Measurement of Bodily Exposure During Simulated Combat Engagements -- 1 Introduction -- 2 Methods -- 2.1 Measures and Materials -- 2.2 Participants -- 2.3 Test Configurations -- 3 Procedures -- 3.1 Laboratory Validation -- 3.2 Field Demonstration -- 4 Data Processing and Analysis -- 4.1 Image Processing Algorithms -- 4.2 Statistical Analyses -- 5 Results -- 5.1 Laboratory Validation -- 5.2 Field Demonstration -- 6 Discussion -- References -- A User Interface Prototyping Tool for Exploring Supervisory Control of Automation During Event-Paced Scenarios -- 1 Introduction -- 2 Approach -- 3 Event-Paced Scenario Test Plan -- 4 Test Administration -- 5 Analysis -- 6 Results -- 7 Standing Orders Reporting -- 8 Administrator Observations -- 9 Situation Awareness Questions -- 10 Conclusions -- References -- Visualizing Team Trust and Cohesion -- Exploiting Interdependence in Autonomous Human-Machine Systems to Avoid Disaggregation and Vulnerability -- 1 Introduction -- 2 Research Findings -- 3 Future Research Activities -- References.
Visualizing Human-Autonomy Team Dynamics Through the Development of a Global After-Action Review Technology -- 1 Introduction -- 1.1 After-Action Reviews -- 1.2 AARs for Manned-Unmanned Teaming -- 1.3 GAART -- 2 Background: Appropriate Visualization Techniques -- 3 GAART Visualization -- 3.1 Mobility and Maneuver Visualization -- 3.2 Key Metrics Visualization -- 3.3 Autonomy Performance Visualization -- 3.4 Interactive Capabilities of the Technology -- 4 Conclusion -- References -- Development of a Neural Network Algorithm to Detect Soldier Load from Environmental Speech -- 1 Introduction -- 2 Background -- 2.1 Models of Speech Emotion Recognition (SER) -- 3 A 3-D CRNN (LSTM) Model -- 4 Method -- 4.1 Field Exercise -- 4.2 Speech Input -- 5 Results -- 6 Discussion -- 7 Conclusions -- References -- Incorporating Key Leader Engagement into Tactical Simulations -- 1 Introduction -- 2 Cultural Training Building -- 2.1 The Systematic Process -- 2.2 Front-End Analysis -- 2.3 Use of Thurstone Scaling -- 2.4 Building Intelligent Agents -- 3 Building the Interface -- 3.1 The Virtual Human Toolkit -- 3.2 Developing the Intelligent Agent -- 4 Limitations -- 5 Discussion -- References -- Computational Modeling Approaches in Politics and Economics -- Assess Electric Vehicle Adoption Through an Agent Based Approach -- 1 Introduction -- 2 Theoretical Background -- 3 ABM Development -- 3.1 Descriptive Information -- 3.2 Behavior and Decision Rules -- 4 Scenario Analysis -- 4.1 Baseline -- 4.2 Reduction in Price of EV -- 5 Sensitivity Analysis -- 6 Conclusion -- References -- The Impact of Housing Programs on Unsheltered Homeless Population: An Agent-Based Approach -- 1 Introduction -- 2 Literature Review -- 3 Research Design -- 3.1 Model Entities and Variables -- 3.2 Parameterization Verification and Simulation Experiment -- 4 Sensitively Analysis. 4.1 Quasi-Global Sensitivity Analysis -- 5 Scenario Analysis on Two Housing Programs -- 6 Conclusion -- References -- Opening Borders. Peru's Expected Utility on Venezuelan Immigration: A Social Network Analysis -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Unicameral National Parliament -- 3.2 Stakeholders -- 3.3 Level of Analysis and Directed Network -- 4 Model Implementation -- 4.1 Spatial Bargaining -- 4.2 Expected Utility Theory -- 5 Policy Implications and Conclusion -- References -- Optimal Strategy in International Relations -- 1 Introduction -- 2 Literature Review -- 3 Research Design -- 3.1 Model Entities and Variables -- 3.2 Parameterization and Simulation Experience -- 3.3 Sensitivity Analysis -- 4 Scenario Analysis -- 5 Conclusion -- 6 Limitation -- References -- Modeling and Simulation of Disaster Medicine Processes for Resilience Assessment of Hospital BCPs -- 1 Introduction -- 2 Modeling of In-Hospital Disaster Medicine -- 2.1 Process Model -- 2.2 Algorithm -- 2.3 Parameter Setting -- 2.4 Input Scenario -- 3 Results -- 4 Conclusion -- References -- Virtual and Augmented Reality -- Information Ergonomics: Expediting Maintenance Workflow Using Mixed Reality -- 1 Introduction -- 2 Maintenance Workflow -- 2.1 Planning -- 2.2 Parts -- 2.3 Procedure -- 2.4 Summary -- 3 Principles of Information Ergonomics -- 4 Conclusion -- References -- Cybersickness and Its Implications for Using Virtual Reality Head Mounted Displays in Transport Psychology Research -- 1 Introduction -- 1.1 Description of Cybersickness Phenomenon -- 1.2 Prevalence and Severity of Cybersickness -- 1.3 Factors Influencing Prevalence of Cybersickness -- 1.4 Measurement of Cybersickness -- 2 Discussion -- 3 Conclusion -- References -- Learning-Forgetting-Fatigue-Recovery Simulation Model -- 1 Introduction -- 2 Methodology -- 3 Project Design and Routine. 4 Simulation Model Description -- 5 Results -- 5.1 First-Order Model -- 5.2 Building a Second First-Order Model -- 5.3 Central Composite Design for the Second-Order Model -- 6 Discussion and Conclusion -- References -- Human Body Posture Recognition in Virtual Reality System for Astronauts Training -- 1 Introduction -- 2 Modeling of Human Body -- 3 CNN-Based Human Body Posture Recognition Algorithm -- 4 Results of the Posture Recognition -- 4.1 Results of the Picture with Single Person -- 4.2 Results in the Picture with Multiple Persons -- 5 The Application of Human Body Posture Recognition in Virtual Reality -- 6 Conclusion and Future Study -- References -- Hospital Escape VR: A Virtual Reality Simulation for Hospital Fire Evacuation Training -- 1 Introduction -- 2 Related Work -- 3 Hospital Escape VR -- 3.1 Software and Hardware -- 3.2 Virtual Environment -- 3.3 Prototype -- 4 Conclusion and Future Work -- References -- Simulation and Human Factors for Nuclear Control Rooms -- Comparing the Sensitivity of Workload Measures for Different Task Types Using Nuclear Power Plant Main Control Room Simulators -- 1 Introduction -- 1.1 Types of NPP Simulated Environments -- 1.2 Workload Assessment -- 2 Methods -- 2.1 Summary of Studies -- 2.2 Quantifying Sensitivity of Workload Measures -- 3 Results -- 3.1 Physiological Metrics -- 3.2 NASA-TLX -- 3.3 MRQ -- 4 Discussion -- References -- Using Qualified On-Site Nuclear Power Plant Simulators in Human Factors Validations of Control Room Upgrades -- 1 Introduction -- 1.1 Nuclear Power Plant Simulators and Simulation -- 2 Using the On-Site Simulator for Human Factors R& -- D -- 3 Workshop Results -- 4 Conclusion -- References -- A Dual Full-Scope and Reduced-Scope Microworld Simulator Approach to Evaluate the Human Factors of a Coupled Hydrogen Production Concept of Operations -- 1 Introduction. 2 Flexible Plant Operation and Generation -- 3 Human Factors Approach for the New Concept of Operations Development -- 4 Simulator-Based Approach to Support Concept of Operations Development -- 5 Conclusions -- References -- Analysis and Validation of the Main Control Room Staffing of the Xe-100 SMR -- 1 Introduction -- 2 Concept of Operations -- 3 Analysis -- 4 Evaluation -- 5 Validation -- 6 Conclusion -- References -- Strategies for Human Factors Validation of Fire-Event Scenarios in a Nuclear Power Plant -- 1 Introduction -- 2 Validation Plan -- 3 Preparation of Fire-Event Scenarios -- 4 Results and Lessons from the Validation Sessions -- 5 Conclusions -- References -- Data Essential for Human Factors Simulation Modeling -- Optimizing Human Performance Data for Enhanced Modeling and Analytics -- 1 Introduction -- 2 General Approach -- 2.1 Design Strategy -- 2.2 Resources and Capabilities -- 2.3 Initial Implementation -- 3 Conclusion -- References -- A Hybrid Simulation Model for an Efficient and Flexible Shop Floor System -- 1 Introduction -- 2 Culture, Diversification and FMS -- 3 Model -- 3.1 Cultural Diversification Model -- 3.2 Process Queuing Model -- 4 Simulation -- 5 Conclusion -- References -- Applying Numerical Simulation to Predict Effect of Brace Wear for Scoliosis -- 1 Introduction -- 2 Methods -- 3 Results and Discussion -- 4 Conclusions -- References -- The Future of Data Standards and Storage: Harnessing Data Generation into a Standardized Repository -- 1 Introduction -- 2 AERDR Overview and Structure -- 3 Human Performance Data -- 4 Adding Data to AERDR -- 5 Future Directions and Considerations -- Human Sensing in Simulation -- Comfortable SCBA Weights from Biomechanical Models for Firefighting Tasks -- 1 Introduction -- 2 Methods -- 2.1 Firefighting Tasks -- 2.2 Biomechanical Models -- 3 Biomechanical Analysis Results. 4 Discussion. |
| Record Nr. | UNINA-9910488711003321 |
| Cham, Switzerland : , : Springer International Publishing, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational physiology : Simula Summer School 2021 -- student reports / / editor, Kimberly J. McCabe
| Computational physiology : Simula Summer School 2021 -- student reports / / editor, Kimberly J. McCabe |
| Autore | McCabe Kimberly J |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2022 |
| Descrizione fisica | 1 online resource (xi, 109 pages) : illustrations (some color) |
| Altri autori (Persone) | McCabeKimberly J |
| Collana | Simula SpringerBriefs on computing |
| Soggetto topico |
Physiology - Computer simulation
Physiology - Data processing Fisiologia Processament de dades Simulació per ordinador |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| Soggetto non controllato |
Computational Physiology
Scientific computing Electrophysiology Pharmacology Mechanics Machine learning Fluid mechanics Bioengineering Numerical analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- Chapter 1 A Pipeline for Automated Coordinate Assignment in Anatomically Accurate Biventricular Models -- 1.1 Introduction -- 1.2 Methods -- 1.2.1 Semi-Automated Surface Extraction -- Algorithm 1 -- 1.2.2 Biventricular Coordinate System -- 1.2.2.1 Creation of the Coordinate System Cobiveco -- 1.2.3 Mapping Vector Fields -- 1.3 Results -- 1.4 Conclusion -- 1.4.1 Limitations -- References -- Chapter 2 3D Simulations of Fetal and Maternal Ventricular Excitation for Investigating the Abdominal ECG -- 2.1 Introduction -- 2.2 Methods
2.2.1 Geometrical mesh construction -- 2.2.2 Electrophysiological modelling -- 2.2.3 Extracellular potential measurements -- 2.2.4 Fetal ECG extraction using signal processing methods -- 2.3 Results -- 2.4 Discussion -- 2.5 Conclusions -- References -- Chapter 3 Ordinary Differential Equation-based Modeling of Cells in Human Cartilage -- 3.1 Introduction -- 3.2 Methods -- 3.2.1 Mathematical modelling of ATP-sensitive K+ currents -- 3.2.2 Population of Models -- 3.3 Results -- 3.3.1 Validation -- 3.3.2 Results for the ATP-sensitive K+ currents -- 3.3.3 Populations of Models 3.4 Discussion and Conclusion -- References -- Chapter 4 Conduction Velocity in Cardiac Tissue as Function of Ion Channel Conductance and Distribution -- 4.1 Introduction -- 4.2 Models and methods -- 4.2.1 The monodomain model -- 4.2.2 The EMI model -- 4.3 Results -- 4.4 Discussion -- 4.4.1 Influence of ion channel conductance on CV -- 4.4.2 Influence of ion channel distribution -- 4.5 Conclusions -- References -- Chapter 5 Computational Prediction of Cardiac Electropharmacology - How Much Does the Model Matter? -- 5.1 Introduction -- 5.2 Methods -- 5.2.1 Models of Cardiac Electrophysiology 5.2.2 Feature Extraction -- 5.2.3 Sensitivity Analysis and Translation -- 5.3 Results -- 5.3.1 Model Translation -- 5.3.2 Translation Discrepancies -- 5.4 Discussion -- 5.5 Conclusion -- References -- Chapter 6 A Computational Study of Flow Instabilities in Aneurysms -- 6.1 Introduction -- 6.2 Methods -- 6.2.1 Baseflow equations -- 6.2.2 Flow perturbations and instability -- 6.2.3 Discretization -- 6.2.4 Computational Methodology -- 6.3 Results -- 6.4 Discussion -- References Chapter 7 Investigating the Multiscale Impact of Deoxyadenosine Triphosphate (dATP) on Pulmonary Arterial Hypertension (PAH) Induced Heart Failure -- 7.1 Introduction -- 7.2 Methods -- 7.2.1 Cell Level Changes -- 7.2.1.1 The SERCA Pump and Calcium transients -- 7.2.1.2 Cross-bridge cycling kinetics -- 7.2.2 Organ Level Model -- 7.3 Results -- 7.4 Discussion and Conclusion -- 7.5 Acknowledgements -- 7.6 Supplementary Information -- References -- Chapter 8 Identifying Ionic Channel Block in a Virtual Cardiomyocyte Population Using Machine Learning Classifiers -- 8.1 Introduction -- 8.2 Methods 8.2.1 Data |
| Record Nr. | UNINA-9910567787803321 |
McCabe Kimberly J
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| Cham, : Springer International Publishing AG, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational physiology : Simula Summer School 2021 -- student reports / / editor, Kimberly J. McCabe
| Computational physiology : Simula Summer School 2021 -- student reports / / editor, Kimberly J. McCabe |
| Autore | McCabe Kimberly J |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2022 |
| Descrizione fisica | 1 online resource (xi, 109 pages) : illustrations (some color) |
| Altri autori (Persone) | McCabeKimberly J |
| Collana | Simula SpringerBriefs on computing |
| Soggetto topico |
Physiology - Computer simulation
Physiology - Data processing Fisiologia Processament de dades Simulació per ordinador |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| Soggetto non controllato |
Computational Physiology
Scientific computing Electrophysiology Pharmacology Mechanics Machine learning Fluid mechanics Bioengineering Numerical analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- Chapter 1 A Pipeline for Automated Coordinate Assignment in Anatomically Accurate Biventricular Models -- 1.1 Introduction -- 1.2 Methods -- 1.2.1 Semi-Automated Surface Extraction -- Algorithm 1 -- 1.2.2 Biventricular Coordinate System -- 1.2.2.1 Creation of the Coordinate System Cobiveco -- 1.2.3 Mapping Vector Fields -- 1.3 Results -- 1.4 Conclusion -- 1.4.1 Limitations -- References -- Chapter 2 3D Simulations of Fetal and Maternal Ventricular Excitation for Investigating the Abdominal ECG -- 2.1 Introduction -- 2.2 Methods
2.2.1 Geometrical mesh construction -- 2.2.2 Electrophysiological modelling -- 2.2.3 Extracellular potential measurements -- 2.2.4 Fetal ECG extraction using signal processing methods -- 2.3 Results -- 2.4 Discussion -- 2.5 Conclusions -- References -- Chapter 3 Ordinary Differential Equation-based Modeling of Cells in Human Cartilage -- 3.1 Introduction -- 3.2 Methods -- 3.2.1 Mathematical modelling of ATP-sensitive K+ currents -- 3.2.2 Population of Models -- 3.3 Results -- 3.3.1 Validation -- 3.3.2 Results for the ATP-sensitive K+ currents -- 3.3.3 Populations of Models 3.4 Discussion and Conclusion -- References -- Chapter 4 Conduction Velocity in Cardiac Tissue as Function of Ion Channel Conductance and Distribution -- 4.1 Introduction -- 4.2 Models and methods -- 4.2.1 The monodomain model -- 4.2.2 The EMI model -- 4.3 Results -- 4.4 Discussion -- 4.4.1 Influence of ion channel conductance on CV -- 4.4.2 Influence of ion channel distribution -- 4.5 Conclusions -- References -- Chapter 5 Computational Prediction of Cardiac Electropharmacology - How Much Does the Model Matter? -- 5.1 Introduction -- 5.2 Methods -- 5.2.1 Models of Cardiac Electrophysiology 5.2.2 Feature Extraction -- 5.2.3 Sensitivity Analysis and Translation -- 5.3 Results -- 5.3.1 Model Translation -- 5.3.2 Translation Discrepancies -- 5.4 Discussion -- 5.5 Conclusion -- References -- Chapter 6 A Computational Study of Flow Instabilities in Aneurysms -- 6.1 Introduction -- 6.2 Methods -- 6.2.1 Baseflow equations -- 6.2.2 Flow perturbations and instability -- 6.2.3 Discretization -- 6.2.4 Computational Methodology -- 6.3 Results -- 6.4 Discussion -- References Chapter 7 Investigating the Multiscale Impact of Deoxyadenosine Triphosphate (dATP) on Pulmonary Arterial Hypertension (PAH) Induced Heart Failure -- 7.1 Introduction -- 7.2 Methods -- 7.2.1 Cell Level Changes -- 7.2.1.1 The SERCA Pump and Calcium transients -- 7.2.1.2 Cross-bridge cycling kinetics -- 7.2.2 Organ Level Model -- 7.3 Results -- 7.4 Discussion and Conclusion -- 7.5 Acknowledgements -- 7.6 Supplementary Information -- References -- Chapter 8 Identifying Ionic Channel Block in a Virtual Cardiomyocyte Population Using Machine Learning Classifiers -- 8.1 Introduction -- 8.2 Methods 8.2.1 Data |
| Record Nr. | UNISA-996479366103316 |
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McCabe Kimberly J
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| Cham, : Springer International Publishing AG, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Computational Statics and Dynamics : An Introduction Based on the Finite Element Method / / by Andreas Öchsner
| Computational Statics and Dynamics : An Introduction Based on the Finite Element Method / / by Andreas Öchsner |
| Autore | Öchsner Andreas |
| Edizione | [3rd ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (723 pages) |
| Disciplina |
620.00151535
620.00151825 |
| Soggetto topico |
Mathematics - Data processing
Mechanics, Applied Solids Condensed matter Numerical analysis Mechanics Computational Mathematics and Numerical Analysis Solid Mechanics Condensed Matter Physics Numerical Analysis Classical Mechanics Mètode dels elements finits Mecànica Simulació per ordinador |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-09673-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to the Finite Element Method -- Rods and Trusses -- Euler-Bernoulli Beams and Frames -- Timoshenko Beams -- Plane Elements -- Classical Plate Elements -- Three-Dimensional Elements -- Principles of Linear Dynamics -- Integration Methods for Transient Problems -- Appendix A: Mathematics -- Appendix B: Mechanics -- Appendix C: Units and Conversion -- Appendix D: Summary of Stiffness Matrices. |
| Record Nr. | UNINA-9910659478703321 |
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Öchsner Andreas
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Getting started in mathematical life sciences : from MATLAB programming to computer simulations / / Makoto Sato
| Getting started in mathematical life sciences : from MATLAB programming to computer simulations / / Makoto Sato |
| Autore | Satō Makoto |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (211 pages) |
| Disciplina | 780 |
| Collana | Theoretical Biology |
| Soggetto topico |
Mathematics
Biomatemàtica Simulació per ordinador Models matemàtics |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9789811982576
9789811982569 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Preparation -- 2. Introduction to MATLAB programming -- 3. Simulating time variations in life phenomena -- 4. Simulating temporal and spatial changes in biological phenomena. |
| Record Nr. | UNISA-996508570603316 |
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Satō Makoto
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| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Handbook of Materials Modeling [[electronic resource] ] : Methods: Theory and Modeling / / edited by Wanda Andreoni, Sidney Yip
| Handbook of Materials Modeling [[electronic resource] ] : Methods: Theory and Modeling / / edited by Wanda Andreoni, Sidney Yip |
| Edizione | [2nd ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (470 illus., 403 illus. in color. eReference.) |
| Disciplina | 620.11015118 |
| Soggetto topico |
Physics
Nanotechnology Mechanics Mechanics, Applied Chemistry, Physical and theoretical Condensed matter Numerical and Computational Physics, Simulation Solid Mechanics Theoretical and Computational Chemistry Condensed Matter Physics Ciència dels materials Models matemàtics Simulació per ordinador |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-319-44677-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996418167403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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High performance simulation for industrial paint shop applications / / Kevin Verma, Robert Wille
| High performance simulation for industrial paint shop applications / / Kevin Verma, Robert Wille |
| Autore | Verma Kevin |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (145 pages) |
| Disciplina | 620.106 |
| Soggetto topico |
Fluid mechanics - Computer simulation
Coating processes - Computer simulation High performance computing Càlcul intensiu (Informàtica) Mecànica de fluids Superfícies (Tecnologia) Simulació per ordinador |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-71625-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Part I Introduction and Background -- 1 Introduction -- -- 2 Background -- 2.1 Computational Fluid Dynamics -- 2.1.1 Fundamentals -- 2.1.2 Governing Equations -- 2.1.3 Discretization Techniques -- 2.1.3.1 Grid-Based Methods -- 2.1.3.2 Particle-Based Methods -- 2.2 High Performance Computing -- 2.2.1 Fundamentals -- 2.2.2 Shared Memory Parallelism -- 2.2.3 Distributed Memory Parallelism -- 2.2.4 General-Purpose Computing on Graphics Processing Units -- 2.3 Automotive Paint Shop -- 2.3.1 Overview -- 2.3.2 Challenges -- Part II Grid-Based Methods -- 3 Overview -- 3.1 Finite Difference Method -- 3.1.1 Formulation -- 3.1.2 Grid Discretization -- 3.2 Electrophoretic Deposition Coatings -- 4 Simulation of Electrophoretic Deposition Coatings -- 4.1 Background -- 4.1.1 State of the Art -- 4.1.2 Formulation -- 4.2 General Idea -- 4.2.1 Numerical Modeling of EPD -- 4.2.2 Grid Discretization -- 4.3 Simulation of EPD Coatings -- 4.3.1 Implementation of Numerical Model -- 4.3.2 Overset Grid Implementation -- 4.3.2.1 Grid Ω16h -- 4.3.2.2 Grid Ω8h -- 4.3.2.3 Grid Ω2h -- 4.3.2.4 Grid Ωh -- 4.3.2.5 Discussion and Resulting Overall Algorithm -- 4.4 Experimental Evaluations -- 4.4.1 Validation with Analytical Data -- 4.4.2 Validation with Industrial Data -- 4.4.3 Performance Discussion -- 4.5 Summary -- Part III Volumetric Decomposition Methods -- 5 Overview -- 5.1 Fundamentals -- 5.2 Drawback -- 6 Volumetric Decomposition on Shared Memory Architectures -- 6.1 Background -- 6.1.1 State of the Art -- 6.1.2 Basic Architecture -- 6.2 Parallel Simulation of Electrophoretic Deposition -- 6.2.1 Outer Parallel Layer -- 6.2.2 Inner Parallel Layer -- 6.2.2.1 Identifying Critical Vertices -- 6.2.2.2 Constructing the Volume Decomposition -- 6.2.2.3 Integrating Bottlenecks -- 6.3 Experimental Evaluations.
6.3.1 Speedup for the Reeb Graph Construction -- 6.3.2 Speedup for the Entire Simulation -- 6.4 Summary -- 7 Volumetric Decomposition on Distributed Memory Architectures -- 7.1 Basic Architecture -- 7.2 Implementation of the Distributed Algorithm -- 7.2.1 Workload Distribution -- 7.2.2 Memory Optimization -- 7.2.3 Load Balancing -- 7.3 Experimental Evaluations -- 7.3.1 Test Environment and Considered Data Set -- 7.3.2 Speedup in the Reeb Graph Construction -- 7.3.3 Speedup in the Entire Simulation -- 7.4 Summary -- Part IV Particle-Based Methods -- 8 Overview -- 8.1 SPH Fundamentals -- 8.1.1 Formulation -- 8.1.2 Internal Forces -- 8.1.3 External Forces -- 8.2 SPH Variants -- 8.2.1 Basic Variants -- 8.2.2 Predictive-Corrective Incompressible SPH -- 8.3 SPH and High Performance Computing -- 8.3.1 CPU Parallelization -- 8.3.2 GPU Parallelization -- 9 SPH on Multi-GPU Architectures -- 9.1 Background -- 9.1.1 Basic Architecture -- 9.1.2 Motivation -- 9.2 Advanced Load Balancing -- 9.2.1 General Idea -- 9.2.2 Using Internal Cache -- 9.2.3 Using Pointers -- 9.3 Experimental Evaluations -- 9.3.1 Experimental Setup -- 9.3.2 Dam Break Simulation -- 9.3.3 Spray Wash Simulation -- 9.4 Summary -- 10 SPH Variants on Multi-GPU Architectures -- 10.1 Background -- 10.2 Distributed Multi-GPU Architecture -- 10.3 Optimization Techniques -- 10.3.1 Load Balancing -- 10.3.2 Overlapping Memory Transfers -- 10.3.3 Optimizing Particle Data Representation -- 10.3.4 Optimizing Exchange of Halos -- 10.4 Experimental Evaluations -- 10.4.1 Experimental Setup -- 10.4.2 Dam Break Simulation -- 10.4.3 Water Splashing Simulation -- 10.5 Summary -- Part V Conclusion -- 11 Conclusion -- References -- Index. |
| Record Nr. | UNINA-9910483851303321 |
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Verma Kevin
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning Applied to Composite Materials [[electronic resource] /] / edited by Vinod Kushvaha, M. R. Sanjay, Priyanka Madhushri, Suchart Siengchin
| Machine Learning Applied to Composite Materials [[electronic resource] /] / edited by Vinod Kushvaha, M. R. Sanjay, Priyanka Madhushri, Suchart Siengchin |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (202 pages) |
| Disciplina | 006.31 |
| Collana | Composites Science and Technology |
| Soggetto topico |
Composite materials
Machine learning Computational intelligence Materials science - Data processing Composites Machine Learning Computational Intelligence Computational Materials Science Materials compostos Simulació per ordinador Aprenentatge automàtic |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-19-6278-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Importance of machine learning in material science -- Machine Learning: A methodology to explain and predict material behavior -- Effect of aspect ratio on dynamic fracture toughness of particulate polymer composite using artificial neural network -- Methodology of K-Nearest Neighbor for predicting the fracture toughness of polymer composites -- Forward machine learning technique to predict dynamic fracture behavior of particulate composite -- Predictive modelling of fracture behavior in silica-filled polymer composite subjected to impact with varying loading rates -- Machine learning approach to determine the elastic modulus of Carbon fiber-reinforced laminates -- Effect of weight ratio on mechanical behaviour of natural fiber based biocomposite using machine learning -- Effect of natural fiber’s mechanical properties and fiber matrix adhesion strength to design biocomposite -- Comparison of various machine learning algorithms to predict material behavior in GFRP. |
| Record Nr. | UNISA-996499867603316 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Machine Learning Applied to Composite Materials / / edited by Vinod Kushvaha, M. R. Sanjay, Priyanka Madhushri, Suchart Siengchin
| Machine Learning Applied to Composite Materials / / edited by Vinod Kushvaha, M. R. Sanjay, Priyanka Madhushri, Suchart Siengchin |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (202 pages) |
| Disciplina | 006.31 |
| Collana | Composites Science and Technology |
| Soggetto topico |
Composite materials
Machine learning Computational intelligence Materials science - Data processing Composites Machine Learning Computational Intelligence Computational Materials Science Materials compostos Simulació per ordinador Aprenentatge automàtic |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-19-6278-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Importance of machine learning in material science -- Machine Learning: A methodology to explain and predict material behavior -- Effect of aspect ratio on dynamic fracture toughness of particulate polymer composite using artificial neural network -- Methodology of K-Nearest Neighbor for predicting the fracture toughness of polymer composites -- Forward machine learning technique to predict dynamic fracture behavior of particulate composite -- Predictive modelling of fracture behavior in silica-filled polymer composite subjected to impact with varying loading rates -- Machine learning approach to determine the elastic modulus of Carbon fiber-reinforced laminates -- Effect of weight ratio on mechanical behaviour of natural fiber based biocomposite using machine learning -- Effect of natural fiber’s mechanical properties and fiber matrix adhesion strength to design biocomposite -- Comparison of various machine learning algorithms to predict material behavior in GFRP. |
| Record Nr. | UNINA-9910633937803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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