Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part VI (Lecture Notes in Computer Science Book 12142)

The Seven-volume Set Lncs 12137, 12138, 12139, 12140, 12141, 12142, And 12143 Constitutes The Proceedings Of The 20th International Conference On Computational Science, Iccs 2020, Held In Amsterdam, The Netherlands, In June 2020.* The Total Of 101 Papers And 248 Workshop Papers Presented In This Book Set Were Carefully Reviewed And Selected From 719 Submissions (230 Submissions To The Main Track And 489 Submissions To The Workshops). The Papers Were Organized In Topical Sections Named: Part I: Iccs Main Track Part Ii: Iccs Main Track Part Iii: Track Of Advances In High-performance Computational Earth Sciences: Applications And Frameworks; Track Of Agent-based Simulations, Adaptive Algorithms And Solvers; Track Of Applications Of Computational Methods In Artificial Intelligence And Machine Learning; Track Of Biomedical And Bioinformatics Challenges For Computer Science Part Iv: Track Of Classifier Learning From Difficult Data; Track Of Complex Social Systems Through The Lens Of Computational Science; Track Of Computational Health; Track Of Computational Methods For Emerging Problems In (dis-)information Analysis Part V: Track Of Computational Optimization, Modelling And Simulation; Track Of Computational Science In Iot And Smart Systems; Track Of Computer Graphics, Image Processing And Artificial Intelligence Part Vi: Track Of Data Driven Computational Sciences; Track Of Machine Learning And Data Assimilation For Dynamical Systems; Track Of Meshfree Methods In Computational Sciences; Track Of Multiscale Modelling And Simulation; Track Of Quantum Computing Workshop Part Vii: Track Of Simulations Of Flow And Transport: Modeling, Algorithms And Computation; Track Of Smart Systems: Bringing Together Computer Vision, Sensor Networks And Machine Learning; Track Of Software Engineering For Computational Science; Track Of Solving Problems With Uncertainties; Track Of Teaching Computational Science; Track Of Uncertainty Quantification For Computational Models *the Conference Was Canceled Due To The Covid-19 Pandemic. Front Matter ....Pages i-xix Front Matter ....Pages 1-1 A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication (Tom Vander Aa, Xiangju Qin, Paul Blomstedt, Roel Wuyts, Wilfried Verachtert, Samuel Kaski)....Pages 3-16 Early Adaptive Evaluation Scheme for Data-Driven Calibration in Forest Fire Spread Prediction (Edigley Fraga, Ana Cortés, Andrés Cencerrado, Porfidio Hernández, Tomàs Margalef)....Pages 17-30 Strategic Use of Data Assimilation for Dynamic Data-Driven Simulation (Yubin Cho, Yilin Huang, Alexander Verbraeck)....Pages 31-44 PDPNN: Modeling User Personal Dynamic Preference for Next Point-of-Interest Recommendation (Jinwen Zhong, Can Ma, Jiang Zhou, Weiping Wang)....Pages 45-57 Cyber Attribution from Topological Patterns (Yang Cai, Jose Andre Morales, Guoming Sun)....Pages 58-71 Applications of Data Assimilation Methods on a Coupled Dual Porosity Stokes Model (Xiukun Hu, Craig C. Douglas)....Pages 72-85 Spatiotemporal Filtering Pipeline for Efficient Social Networks Data Processing Algorithms (Ksenia Mukhina, Alexander Visheratin, Denis Nasonov)....Pages 86-99 Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method (Jakub Walczak, Grzegorz Andrzejczak, Rafał Scherer, Adam Wojciechowski)....Pages 100-114 Front Matter ....Pages 115-115 Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach (Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri)....Pages 117-123 Learning Ergodic Averages in Chaotic Systems (Francisco Huhn, Luca Magri)....Pages 124-132 Supermodeling: The Next Level of Abstraction in the Use of Data Assimilation (Marcin Sendera, Gregory S. Duane, Witold Dzwinel)....Pages 133-147 A New Multilayer Network Construction via Tensor Learning (Giuseppe Brandi, Tiziana Di Matteo)....Pages 148-154 Neural Assimilation (Rossella Arcucci, Lamya Moutiq, Yi-Ke Guo)....Pages 155-168 A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities (Vishwas Rao, Romit Maulik, Emil Constantinescu, Mihai Anitescu)....Pages 169-182 Node Classification in Complex Social Graphs via Knowledge-Graph Embeddings and Convolutional Neural Network (Bonaventure C. Molokwu, Shaon Bhatta Shuvo, Narayan C. Kar, Ziad Kobti)....Pages 183-198 Accelerated Gaussian Convolution in a Data Assimilation Scenario (Pasquale De Luca, Ardelio Galletti, Giulio Giunta, Livia Marcellino)....Pages 199-211 On the Complementary Role of Data Assimilation and Machine Learning: An Example Derived from Air Quality Analysis (Richard Ménard, Jean-François Cossette, Martin Deshaies-Jacques)....Pages 212-224 Recursive Updates of Wildfire Perimeters Using Barrier Points and Ensemble Kalman Filtering (Abhishek Subramanian, Li Tan, Raymond A. de Callafon, Daniel Crawl, Ilkay Altintas)....Pages 225-236 Front Matter ....Pages 237-237 Finding Points of Importance for Radial Basis Function Approximation of Large Scattered Data (Vaclav Skala, Samsul Ariffin Abdul Karim, Martin Cervenka)....Pages 239-250 High Accuracy Terrain Reconstruction from Point Clouds Using Implicit Deformable Model (Jules Morel, Alexandra Bac, Takashi Kanai)....Pages 251-265 Solving Non-linear Elasticity Problems by a WLS High Order Continuation (Oussama Elmhaia, Youssef Belaasilia, Bouazza Braikat, Noureddine Damil)....Pages 266-279 Advanced Radial Basis Functions Mesh Morphing for High Fidelity Fluid-Structure Interaction with Known Movement of the Walls: Simulation of an Aortic Valve (Leonardo Geronzi, Emanuele Gasparotti, Katia Capellini, Ubaldo Cella, Corrado Groth, Stefano Porziani et al.)....Pages 280-293 Radial Basis Functions Mesh Morphing (Marco Evangelos Biancolini, Andrea Chiappa, Ubaldo Cella, Emiliano Costa, Corrado Groth, Stefano Porziani)....Pages 294-308 Radial Basis Function Approximation Optimal Shape Parameters Estimation (Vaclav Skala, Samsul Ariffin Abdul Karim, Marek Zabran)....Pages 309-317 Front Matter ....Pages 319-319 Projective Integration for Moment Models of the BGK Equation (Julian Koellermeier, Giovanni Samaey)....Pages 321-333 Open Boundary Modeling in Molecular Dynamics with Machine Learning (Philipp Neumann, Niklas Wittmer)....Pages 334-347 Microtubule Biomechanics and the Effect of Degradation of Elastic Moduli (Sundeep Singh, Roderick Melnik)....Pages 348-358 Formation of Morphogenetic Patterns in Cellular Automata (Manan’Iarivo Rasolonjanahary, Bakhtier Vasiev)....Pages 359-373 Multilevel Monte Carlo with Improved Correlation for Kinetic Equations in the Diffusive Scaling (Emil Løvbak, Bert Mortier, Giovanni Samaey, Stefan Vandewalle)....Pages 374-388 Development and Application of the Statistically Similar Representative Volume Element for Numerical Modelling of Multiphase Materials (Łukasz Rauch, Krzysztof Bzowski, Danuta Szeliga, Maciej Pietrzyk)....Pages 389-402 A Heterogeneous Multi-scale Model for Blood Flow (Benjamin Czaja, Gábor Závodszky, Alfons Hoekstra)....Pages 403-409 Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources (Sergiy Gogolenko, Derek Groen, Diana Suleimenova, Imran Mahmood, Marcin Lawenda, F. Javier Nieto de Santos et al.)....Pages 410-424 Easing Multiscale Model Design and Coupling with MUSCLE 3 (Lourens E. Veen, Alfons G. Hoekstra)....Pages 425-438 Front Matter ....Pages 439-439 Simulations of Quantum Finite Automata (Gustaw Lippa, Krzysztof Makieła, Marcin Kuta)....Pages 441-450 Open image in new window: A Cross-Platform Programming Framework for Quantum-Accelerated Scientific Computing (Matthias Möller, Merel Schalkers)....Pages 451-464 Generalized Quantum Deutsch-Jozsa Algorithm (Tomasz Arodz)....Pages 465-472 Revisiting Old Combinatorial Beasts in the Quantum Age: Quantum Annealing Versus Maximal Matching (Daniel Vert, Renaud Sirdey, Stéphane Louise)....Pages 473-487 A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games (Christoph Roch, Thomy Phan, Sebastian Feld, Robert Müller, Thomas Gabor, Carsten Hahn et al.)....Pages 488-501 Hybrid Quantum Annealing Heuristic Method for Solving Job Shop Scheduling Problem (Krzysztof Kurowski, Jan Wȩglarz, Marek Subocz, Rafał Różycki, Grzegorz Waligóra)....Pages 502-515 Foundations for Workflow Application Scheduling on D-Wave System (Dawid Tomasiewicz, Maciej Pawlik, Maciej Malawski, Katarzyna Rycerz)....Pages 516-530 A Hybrid Solution Method for the Multi-Service Location Set Covering Problem (Irina Chiscop, Jelle Nauta, Bert Veerman, Frank Phillipson)....Pages 531-545 New Hybrid Quantum Annealing Algorithms for Solving Vehicle Routing Problem (Michał Borowski, Paweł Gora, Katarzyna Karnas, Mateusz Błajda, Krystian Król, Artur Matyjasek et al.)....Pages 546-561 Multi-agent Reinforcement Learning Using Simulated Quantum Annealing (Niels M. P. Neumann, Paolo B. U. L. de Heer, Irina Chiscop, Frank Phillipson)....Pages 562-575 Quantum Hopfield Neural Networks: A New Approach and Its Storage Capacity (Nicholas Meinhardt, Niels M. P. Neumann, Frank Phillipson)....Pages 576-590 A Variational Algorithm for Quantum Neural Networks (Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori)....Pages 591-604 Imperfect Distributed Quantum Phase Estimation (Niels M. P. Neumann, Roy van Houte, Thomas Attema)....Pages 605-615 Optimal Representation of Quantum Channels (Paulina Lewandowska, Ryszard Kukulski, Łukasz Pawela)....Pages 616-626 Perturbation of the Numerical Range of Unitary Matrices (Ryszard Kukulski, Paulina Lewandowska, Łukasz Pawela)....Pages 627-637 Design of Short Codes for Quantum Channels with Asymmetric Pauli Errors (Marco Chiani, Lorenzo Valentini)....Pages 638-649 Simulation Methodology for Electron Transfer in CMOS Quantum Dots (Andrii Sokolov, Dmytro Mishagli, Panagiotis Giounanlis, Imran Bashir, Dirk Leipold, Eugene Koskin et al.)....Pages 650-663 Back Matter ....Pages 665-667 The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis- )Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic