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El. knyga: Computational Science - ICCS 2018: 18th International Conference, Wuxi, China, June 11-13, 2018, Proceedings, Part II

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The three-volume set LNCS 10860, 10861 and 10862 constitutes the proceedings of the 18th International Conference on Computational Science, ICCS 2018, held in Wuxi, China, in June 2018.





The total of 155 full and 66 short papers presented in this book set was carefully reviewed and selected from 404 submissions. The papers were organized in topical sections named:





Part I: ICCS Main Track





Part II: 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 Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging ManYcore Systems; Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Data, Modeling, andComputation in IoT and Smart Systems; Track of Data-Driven Computational Sciences; Track of Mathematical-Methods-and-Algorithms for Extreme Scale; Track of Multiscale Modelling and Simulation





Part III: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Papers
Track of Advances in High-Performance Computational Earth.- Sciences:
Applications and Frameworks Development of scalable three-dimensional
elasto-plastic nonlinear wave propagation analysis method for earthquake
damage estimation of soft grounds.- A New Matrix-free Approach for
Large-scale Geodynamic Simulations and its Performance.- Viscoelastic Crustal
Deformation Computation Method with Reduced Random Memory Accesses for
GPU-based Computers.- An Event Detection Framework for Virtual Observation
System: Anomaly Identification for An Acme Land Simulation.- Enabling
Adaptive Mesh Refinement for Single Components of ECHAM6.- Efficient and
accurate evaluation of Bezier tensor product surfaces.- Track of Agent-based
simulations, adaptive algorithms and solvers Agent-Based Simulations,
Adaptive Algorithms and Solvers.- Hybrid Swarm and Agent-based Evolutionary
Optimization.- Data-driven Agent-based Simulation for Pedestrian Capacity
Analysis.- A Novel Agent-based Modeling Approach forImage Coding and Lossless
Compression Based on the Wolf-Sheep Predation Model.- Planning Optimal Path
Networks Using Dynamic Behavioral Modeling.- Multiagent contextdependent
model of opinion dynamics in a virtual society.- An algorithm for tensor
product approximation of three-dimensional material data for implicit
dynamics simulations.- Track of Applications of Matrix Methods in Artificial
Intelligence and Machine Learning Applications of Matrix Methods in
Artificial Intelligence and Machine Learning.- On Two Kinds of Dataset
Decomposition.- A Graph-based Algorithm for Supervised Image Classification.-
An Adversarial Training Framework for Relation Classification.- Topic-Based
Microblog Polarity Classification Based on Cascaded Model.- An Efficient Deep
Learning Model for Recommender Systems.- Standardization of Featureless
Variables for Machine Learning Models using Natural Language Processing
(NLP).- Generalized Variable Conversion using K-means Clustering and Web
Scraping.- Parallel Latent Dirichlet Allocation on GPUs.- Improving Search
through A3C Reinforcement Learning based Conversational Agent.- Track of
Architecture, Languages, Compilation and Hardware support for Emerging
ManYcore systems Architecture Emulation and Simulation of Future Many-Core
Epiphany RISC Array Processors.- Automatic mapping for OpenCL-Programs on
CPU/GPU Heterogeneous Platforms.- Track of Biomedical and Bioinformatics
Challenges for Computer Science, 11th Workshop on Biomedical and
Bioinformatics Challenges for Computer Science: new computational models,
algorithms and computer architectures.- Combining Data Mining Techniques to
Enhance Cardiac Arrhythmia Detection.- CT medical imaging reconstruction
using direct algebraic methods with few projections.- On blood viscosity and
its correlation with biological parameters.- Development of Octree-Based
High-Quality Mesh Generation Method for Biomedical Simulation.- 1,000x Faster
than PLINK: Genome-Wide Epistasis Detection with Logistic Regression Using
Combined FPGA and GPU Accelerators.- Track of Computational Finance and
Business Intelligence.- Deep Learning and Wavelets for High-Frequency Price
Forecasting.- Kernel Extreme Learning Machine for Learning from Label
Proportions.- Extreme Market Prediction for Trading Signal with Deep
Recurrent Neural Network.- Multi-view Multi-task Support Vector Machine.-
Research on Stock Price Forecast Based on News Sentiment Analysis A Case
Study of Alibaba.- Parallel Harris Corner Detection on Heterogeneous
Architecture.- A New Method for Structured Learning with Privileged
Information.- An Effective Model between Mobile Phone Usage and P2P Default
Behavior.- A Novel Data Mining Approach towards Human Resource Performance
Appraisal.- Word Similarity Fails in Multiple Sense Word Embedding.- Track of
Computational Optimization, Modelling and Simulation A hybrid optimization
algorithm for electric motor design.- Dynamic Current Distribution in the
Electrodes of Submerged Arc Furnace using Scalar and Vector Potentials.-
Optimizing Deep Learning by Hyper Heuristic Approach for Classifying Good
Quality Images.- An Agent-based Distributed Approach for Bike Sharing
Systems.- A fast vertex-swap operator for the prize-collecting Steiner tree
problem.- Solving CSS-Sprite Packing Problem using a Transformation to the
Probabilistic Non-Oriented Bin Packing Problem.- Optimization of Resources
Selection for Jobs Scheduling in Heterogeneous Distributed Computing
Environments.- Explicit Size-Reduction-Oriented Design of a Compact
Microstrip Rat-Race Coupler Using Surrogate-Based Optimization Methods.-
Stochastic-Expansions-Based MAPOD Analysis of the Spherically-Void-Defect
Benchmark Problem.- Accelerating Optical Absorption Spectra and Exciton
Energy Computation via Interpolative Separable Density Fitting.-
Model-Assisted Probability of Detection for Structural Health Monitoring of
Flat Plates.- Track of Data, Modeling, and Computation in IoT and Smart
Systems Anomalous Trajectory Detection between Regions of Interest Based on
ANPR System.- Dynamic real-time infrastructure planning and deployment for
disaster early warning systems.- Calibration and Monitoring of IoT Devices by
Means of Embedded Scientific Visualization Tools.- Gated Convolutional LSTM
for Speech Commands Recognition.- Enabling machine learning on resource
constrained devices by source code generation of the learned models.- Track
of Data-Driven Computational Sciences Fast Retrieval of Weather Analogues in
a Multi-petabytes Archive using Wavelet-based Fingerprints.- Assimilation of
fire perimeters and satellite detections by minimization of the residual in a
fire spread model.- Analyzing Complex Models using Data and Statistics.-
Research on Technology Foresight Method Based on Intelligent Convergence in
Open Network Environment.- Prediction of Blasting Vibration Intensity by
Improved PSO-SVR on Apache Spark Cluster.-
Bisections-weighted-by-element-size-and-order algorithm to optimize direct
solver performance on 3D hp-adaptive grids.- Establishing EDI for a Clinical
Trial of a Treatment for Chikungunya.- Deadlock Detection in MPI Programs
Using Static Analysis and Symbolic Execution.- Track of
Mathematical-Methods-and-Algorithms for Extreme Scale Reproducible Roulette
Wheel Sampling for Message Passing Environments.- Speedup of Bicubic Spline
Interpolation.- Track of Multiscale Modelling and Simulation Multiscale
Modelling and Simulation, 15th International Workshop.- Optimized Eigenvalue
Solvers for the Neutron Transport Equation.- Multi-scale homogenization of
pre-treatment rapid and slow filtration processes with experimental and
computational validations. - The solution of the lambda modes problem using
block iterative eigensolvers.- A Versatile Hybrid Agent-Based, Particle and
Partial Differential Equations Method to Analyze Vascular Adaptation.-
Development of a multiscale simulation approach for forced migration.