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Computational Science – ICCS 2024 : 24th International Conference, Malaga, Spain, July 2–4, 2024, Proceedings, Part II / / edited by Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
| Computational Science – ICCS 2024 : 24th International Conference, Malaga, Spain, July 2–4, 2024, Proceedings, Part II / / edited by Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot |
| Autore | Franco Leonardo |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (422 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) |
de MulatierClélia
PaszynskiMaciej KrzhizhanovskayaValeria V DongarraJack J SlootPeter M. A |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Artificial intelligence Computer engineering Computer networks Software engineering Computer science - Mathematics Theory of Computation Artificial Intelligence Computer Engineering and Networks Software Engineering Mathematics of Computing |
| ISBN | 3-031-63751-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910869156803321 |
Franco Leonardo
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Science – ICCS 2024 : 24th International Conference, Malaga, Spain, July 2–4, 2024, Proceedings, Part I / / edited by Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
| Computational Science – ICCS 2024 : 24th International Conference, Malaga, Spain, July 2–4, 2024, Proceedings, Part I / / edited by Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot |
| Autore | Franco Leonardo |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (402 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) |
de MulatierClélia
PaszynskiMaciej KrzhizhanovskayaValeria V DongarraJack J SlootPeter M. A |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Artificial intelligence Computer engineering Computer networks Software engineering Computer science - Mathematics Theory of Computation Artificial Intelligence Computer Engineering and Networks Software Engineering Mathematics of Computing |
| ISBN | 3-031-63749-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- ICCS 2024 Main Track Full Papers -- Effects of Wind on Forward and Turning Flight of Flying Cars Using Computational Fluid Dynamics -- 1 Introduction -- 2 Numerical Approach -- 2.1 Fundamental Equation of Fluid -- 2.2 Fundamental Equation of Rigid Body -- 2.3 Moving Computational Domain Approach -- 2.4 Multi-axis Sliding Mesh Approach -- 3 Simulation Summary -- 3.1 Flight Simulation Conditions -- 3.2 Computation Model -- 3.3 Calculation Conditions -- 3.4 Attitude Control -- 4 Simulation Results -- 4.1 Forward Flight Simulation -- 4.2 Acceleration Turning Flight -- 4.3 Constant Velocity Turning Flight -- 5 Conclusions -- References -- DP-PINN: A Dual-Phase Training Scheme for Improving the Performance of Physics-Informed Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Overview of Standard PINN and Motivation of DP-PINN -- 3.2 DP-PINN -- 3.3 Sampling Methods -- 4 Results -- 4.1 Allen-Cahn Equation -- 4.2 1D Viscous Burger's Equation -- 5 Conclusion and Future Works -- References -- Operator Entanglement Growth Quantifies Complexity of Cellular Automata -- 1 Introduction -- 2 A Matrix Product Operator for Elementary Cellular Automata -- 3 Operator Space Entanglement Entropy Growth -- 3.1 Type I Rules: Quick Convergence to Constant Values -- 3.2 Type II Rules: Long Transients and Information Transfer -- 3.3 Type III Rules: Chaotic CAs -- 3.4 Type IV Rules: Domain Walls, Lifeforms and Complexity -- 3.5 Parallel with Quantum Systems -- 4 Conclusion -- References -- HarVI: Real-Time Intervention Planning for Coronary Artery Disease Using Machine Learning -- 1 Introduction -- 2 Methods -- 2.1 Personalized Hemodynamic Analysis Using Reduced-Order Models -- 2.2 Integrating with Harvis and Editing 3D Stenosis Geometry.
2.3 Establishing a Real-Time Prediction Model of Post-intervention Hemodynamics Using Machine Learning -- 2.4 Experimental Protocol to Establish and Validate HarVI -- 3 Results and Discussion -- 3.1 Few Samples Are Needed to Capture Post-intervention Fractional Flow Reserve Accurately -- 3.2 Post-intervention Fractional Flow Reserve Predicted Using HarVI Agrees with 1D Ground-Truths -- 3.3 End-to-End Turnaround Time to Enable Intervention Planning Within One Working Day -- 4 Conclusion -- References -- Krylov Solvers for Interior Point Methods with Applications in Radiation Therapy and Support Vector Machines -- 1 Introduction -- 2 Background -- 2.1 Interior Point Methods -- 2.2 Optimization Problems in Radiation Therapy and SVMs -- 3 Prototype Interior Point Method -- 3.1 KKT System Formulation -- 3.2 IPM Implementation -- 4 Experimental Setup -- 5 Results -- 5.1 Krylov Solver Convergence -- 5.2 IPM Solver Convergence -- 5.3 Numerical Stability and Conditioning of KKT System -- 5.4 Performance Analysis -- 6 Related Work -- 7 Conclusions and Future Work -- References -- From Fine-Grained to Refined: APT Malware Knowledge Graph Construction and Attribution Analysis Driven by Multi-stage Graph Computation -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 APT Malware Ontology Mode -- 3.2 Multistage Graph Clustering and Graph Representation Optimization -- 3.3 Threat Actor Groupal Attribution Based on Meta-Path Graph Embedding -- 4 Evaluation and Discussion -- 4.1 Discussion 1: Whether the Key Information of APT Malware Knowledge Graph Attribution Is Reduced After Refining -- 4.2 Discussion 2: What Is the Effect of Refined APT Malware Knowledge Graph Attribution Analysis -- 4.3 Discussion 3: How Meaningful Is Our Research in Comparison with Similar Studies in the Field of APT Malware Analysis -- 5 Conclusion -- References. Flow Field Analysis in Vortex Ring State Using Small Diameter Rotor by Descent Simulation -- 1 Introduction -- 2 Numerical Approach -- 2.1 Governing Equations -- 2.2 Unstructured Moving-Grid Finite-Volume Method -- 2.3 Moving Computational Domain Method -- 2.4 Hovering Induced Velocity -- 3 Descent Simulation of Rotor -- 3.1 Computational Mesh -- 3.2 Computational Mesh -- 4 Numerical Simulation Results -- 4.1 Simple Vertical Descent -- 4.2 Oblique Descent Simulation (Angle of Descent 26.6°) -- 5 Conclusions -- References -- Toward Real-Time Solar Content-Based Image Retrieval -- 1 Introduction -- 2 Related Works -- 3 Proposed Method for Solar Image Hashing -- 3.1 Calculating Solar Image Descriptor -- 3.2 Hash Generation -- 3.3 Retrieval -- 4 Experimental Results -- 5 Conclusions -- References -- Velocity Temporal Shape Affects Simulated Flow in Left Coronary Arteries -- 1 Introduction -- 2 Methods -- 2.1 Quantifying and Varying Temporal Waveform Shape -- 2.2 1D Simulation Approach -- 2.3 3D Simulation Approach -- 2.4 Image-Derived Coronary Geometries -- 2.5 Numerical Experimental Protocol -- 2.6 Calculating Hemodynamic Metrics -- 2.7 Statistical Tests -- 3 Results -- 3.1 1D Quantification of Wall Shear Stress -- 3.2 A Subset of Perturbed Points of Interest Resulted in Significant 3D Simulation Changes -- 3.3 Strong Agreement Between 1D and 3D Wall Shear Stress -- 3.4 Correlation Between Metrics and Inlet Waveform Metrics -- 4 Discussion -- 4.1 1D Linear Changes in Wall Shear Stress -- 4.2 Three Points of Interest Cause 3D Statistically Significant OSI Differences -- 4.3 Inlet Waveforms Are Not Enough to Predict All Metrics -- 4.4 Limitations -- 4.5 Clinical and Research Implications -- 5 Conclusion -- References -- Simulating, Visualizing and Playing with de Sitter and Anti de Sitter Spacetime -- 1 Introduction -- 2 Background -- 3 Preliminaries. 4 Simulation of the Anti-de Sitter Spacetime -- 5 Simulation of the de Sitter Spacetime -- 6 Visualizations and Insights -- 7 Further Work -- References -- Enhancing the Realism of Wildfire Simulation Using Composite Bézier Curves -- 1 Introduction -- 2 Forest Fire Spread Modelling -- 3 Methodology -- 3.1 Composite Bézier Curves -- 4 Experimental Study and Results -- 4.1 Ideal Cases -- 4.2 Real Case -- 5 Conclusions -- References -- Learning Mesh Geometry Prediction -- 1 Introduction -- 2 Related Work -- 3 Compression Method -- 3.1 Input Features -- 3.2 Optimization -- 3.3 Uncertainty Prediction -- 4 Experimental Results -- 5 Conclusions -- References -- Data-Efficient Knowledge Distillation with Teacher Assistant-Based Dynamic Objective Alignment -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Preliminary -- 3.2 Data Selection (DS) -- 3.3 Teacher Assistant (TA) -- 3.4 Dynamic Objective Alignment (DOA) -- 3.5 Total Loss -- 4 Experiments -- 4.1 Datasets -- 4.2 Baselines -- 4.3 Implementation Details -- 4.4 Evaluation Metrics -- 4.5 Performance Comparison -- 4.6 Ablation Study -- 4.7 Model Analysis -- 5 Conclusion -- References -- MPI4All: Universal Binding Generation for MPI Parallel Programming -- 1 Introduction -- 2 Related Work -- 3 MPI4All -- 3.1 Parser -- 3.2 Generator -- 4 Experimental Evaluation -- 4.1 Java -- 4.2 Go -- 5 Conclusions -- References -- Time Series Predictions Based on PCA and LSTM Networks: A Framework for Predicting Brownian Rotary Diffusion of Cellulose Nanofibrils -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Dimensionality Reduction -- 3.2 Long Short-Term Memory -- 4 Input Data and Experiment Description -- 4.1 LSTM Architecture -- 5 Results -- 6 Discussion and Conclusion -- References -- Cost-Effective Defense Timing Selection for Moving Target Defense in Satellite Computing Systems -- 1 Introduction. 2 Related Work -- 2.1 Time-Driven MTD -- 2.2 Event-Driven MTD -- 2.3 Hybrid-Driven MTD -- 3 System and Threat Model -- 4 Markov Game -- 5 Defense Timing Decision -- 5.1 Decision Equations of Players -- 5.2 Solutions of Decision Equations -- 6 Experiments -- 6.1 Experimental Environment and Settings -- 6.2 Performance Evaluation -- 6.3 Defense Effect Evaluation -- 7 Conclusion -- References -- Energy- and Resource-Aware Graph-Based Microservices Placement in the Cloud-Fog-Edge Continuum -- 1 Introduction -- 2 Background -- 3 Model Formulation -- 3.1 Network Infrastructure -- 3.2 Microservices Applications and Function Paths -- 3.3 Energy Efficiency Placement Problem -- 3.4 Minimum Execution Time of an MFP -- 4 Proposed Solution for Energy Efficiency Microservices Placement -- 4.1 Community Based Selection -- 4.2 Node Inside Community Selection -- 5 Evaluation and Results -- 5.1 Experimental Setup -- 5.2 Results Analysis -- 6 Conclusion and Future Work -- References -- Fast and Layout-Oblivious Tensor-Matrix Multiplication with BLAS -- 1 Introduction -- 2 Related Work -- 3 Background -- 4 Algorithm Design -- 4.1 Baseline Algorithm with Contiguous Memory Access -- 4.2 BLAS-Based Algorithms with Tensor Slices -- 4.3 BLAS-Based Algorithms with Subtensors -- 4.4 Parallel BLAS-Based Algorithms -- 5 Experimental Setup -- 6 Results and Discussion -- 7 Conclusion and Future Work -- References -- Interpoint Inception Distance: Gaussian-Free Evaluation of Deep Generative Models -- 1 Introduction -- 2 Related Work -- 3 Interpoint Inception Distance -- 4 Experiments -- 5 Conclusions -- References -- Elliptic-Curve Factorization and Witnesses -- 1 Introduction -- 2 Separating and Nonseparating Witnesses in (Ell, N) Factorization -- 2.1 Notation and Basic Facts Concerning the Arithmetic in E(ZN) -- 2.2 Admissible Numbers and Witnesses Definitions. 3 Decomposition Witnesses in (Ell,EN) factorization. |
| Record Nr. | UNINA-9910869156403321 |
|
Franco Leonardo
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||