Transactions on Computational Science XXXVI: Special Issue on Cyberworlds and Cybersecurity

✍ Scribed by Marina L. Gavrilova (editor), C.J. Kenneth Tan (editor), Alexei Sourin (editor)

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 139
• Category: Library

✦ Synopsis

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods.

This, the 36th issue of the Transactions on Computational Science, is devoted to the area of Cyberworlds andCybersecurity. The first four papers constitute extended versions of selected papers presented at the 2018 International Conference on Cyberworlds, CW 2018. A further two papers were accepted following an open Call for Papers and cover the areas of fast 3D segmentation using geometric surface features and nature-inspired optimization for face recognition.

✦ Table of Contents

LNCS Transactions on Computational Science
Scope
Editorial
Guest Editor Preface
LNCS Transactions on Computational Science – Editorial Board
Contents
Orion: A Generic Model and Tool for Data Mining
1 Introduction
2 Orion
2.1 Orion Workflow
2.2 Orion Model
3 Application
3.1 Human Players Tracking
3.2 Data Transformation and Visualization
3.3 Prediction
3.4 Behavioral Model
3.5 Results
4 Conclusion and Future Works
References
Environment Estimation for Glossy Reflections in Mixed Reality Applications Using a Neural Network
1 Introduction
2 Related Work
2.1 Illumination Reconstruction
2.2 Stitching
3 Stitching
3.1 Generation
3.2 Stitching Results
4 Neural Network
5 Results
5.1 Visualization
5.2 System
5.3 Performance
6 Discussion and Limitations
7 Conclusion
References
Distance Measurements of CAD Models in Boundary Representation
1 Motivation
2 Related Work
2.1 Triangle-Triangle Distance Function
2.2 Space Partitioning and Data Structures
2.3 Algorithmic Analysis and Benchmarking
3 Benchmark Description
3.1 CAD Test: Tools Data Set
3.2 Scale Difference Test: Rosetta Data Set
3.3 Tessellation Difference Test: Spirit Data Set
3.4 Two Manifold Test: Sphere Data Set
3.5 Worst Case Test: Intersection Data Set
3.6 Summary: Distance Measurement Benchmark
4 Distance Measurement
4.1 Distance Algorithm
4.2 Implementation Details
4.3 Naive Algorithm
5 Analysis
5.1 Elementary Distance Function
5.2 CAD Test: Tools Data Set
5.3 Scale Difference Test: Rosetta Data Set
5.4 Tessellation Difference Test: Spirit Data Set
5.5 Two Manifold Test: Sphere Data Set
5.6 Worst Case Test: Intersection Data Set
6 Discussion
6.1 Conclusion
6.2 Future Work
References
An Immersive Virtual Environment for Visualization of Complex and/or Infinitely Distant Territory
1 Introduction
2 High-Dimensional Data Visualizations
3 Mathematical 4-Space Visualization Preliminaries
4 Immersive Visualization for Mathematics
5 True Colors of the Riemann Sphere
6 Conclusion
References
Fast 3D Scene Segmentation and Partial Object Retrieval Using Local Geometric Surface Features
1 Introduction
2 Related Work
2.1 Segmentation
2.2 Retrieval
2.3 Combined
3 Framework Overview
3.1 Geometric Segmentation
3.2 Patch Pre-processing
3.3 Descriptor Extraction and Matching
3.4 Database Processing
4 Experiments and Discussion
4.1 Experimental Setup
4.2 Limitations and Future Work
5 Conclusion
References
Hybrid Nature-Inspired Optimization Techniques in Face Recognition
1 Introduction
2 Literature Survey
3 Existing Methodologies
4 Proposed Methodology
4.1 Hybrid GSA-BBBC with Chaotic Local Search
4.2 BB BC-GSA-SDS Algorithm (Modified Approach)
5 Face Recognition
6 Experimental Results
6.1 Benchmark Testing
6.2 Face Recognition Problem
7 Conclusion
References
Author Index