
Information Technology, Systems Research, and Computational Physics
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This book highlights a broad range of modern information technology tools, techniques, investigations and open challenges, mainly with applications in systems research and computational physics. Divided into three major sections, it begins by presenting specialized calculation methods in the framework of data analysis and intelligent computing. In turn, the second section focuses on application aspects, mainly for systems research, while the final section investigates how various tasks in the basic disciplines-mathematics and physics-can be tackled with the aid of contemporary IT methods.
The book gathers selected presentations from the 3rd Conference on Information Technology, Systems Research and Computational Physics (ITSRCP'18), which took place on 2-5 July 2018 in Krakow, Poland. The intended readership includes interdisciplinary scientists and practitioners pursuing research at the interfaces of information technology, systems research, and computational physics.
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Content
- Intro
- Preface
- References
- Associate Editors
- Contents
- Data Analysis and Intelligent Computing
- Using Random Forest Classifier for Particle Identification in the ALICE Experiment
- 1 Introduction
- 2 Particle Identification with TPC and TOF
- 3 Baseline PID Method
- 4 Our Approach
- 4.1 Random Forest Algorithm
- 4.2 Unique Properties of Random Forest
- 4.3 Implementation
- 5 Experiments
- 5.1 Dataset
- 5.2 Attribute Importance
- 5.3 Parameter Tuning
- 5.4 Evaluation Protocol
- 5.5 Results
- 6 Conclusions
- References
- Fault Propagation Models Generation in Mobile Telecommunications Networks Based on Bayesian Networks with Principal Component Analysis Filtering
- 1 Introduction
- 2 Principal Component Analysis
- 3 Bayesian Networks Introduction
- 4 Bayesian Network Fault Propagation Model Generation with PCA Pre-filtering
- 5 Results and Examples
- 6 Summary and Conclusions
- References
- Optimizing Clustering with Cuttlefish Algorithm
- 1 Introduction
- 2 Optimization Metaheurisctics
- 3 Clusterization Procedure
- 4 Numerical Studies
- 5 Conclusions
- References
- A Memetic Version of the Bacterial Evolutionary Algorithm for Discrete Optimization Problems
- Abstract
- 1 Introduction
- 2 The DBMEA Algorithm
- 2.1 Creating the Initial Population
- 2.2 Bacterial Mutation
- 2.3 Local Search
- 2.4 Gene Transfer
- 3 Computational Results
- 3.1 The Traveling Salesman Problem
- 3.2 The Traveling Salesman Problem with Time Windows
- 3.3 The Traveling Repairman Problem
- 3.4 The Time Dependent Traveling Salesman Problem
- 4 Conclusion
- Acknowledgement
- References
- On Wavelet Based Enhancing Possibilities of Fuzzy Classification Methods
- 1 Introduction
- 2 The Fuzzy Component of the Approach
- 2.1 Fuzzy Sets
- 2.2 Fuzzy Inference
- 2.3 Fuzzy Rule Interpolation
- 3 The Wavelet Component of Our Approach
- 3.1 Multiresolution Analysis
- 3.2 Wavelet Analysis in Signal Processing
- 4 Entropies as Compact Descriptions of Two-Dimensional Datasets
- 4.1 Rényi Entropies
- 4.2 Structural Entropies of Probability Distributions
- 5 Telecommunication Lines
- 5.1 Measurements
- 5.2 Characterisation Scheme
- 6 Wear
- 6.1 Measurements
- 6.2 Characterisation Scheme
- 7 Colorectal Polyps
- 8 Conclusion
- References
- On the Convergence of Fuzzy Grey Cognitive Maps
- 1 Introduction
- 2 Mathematical Background
- 2.1 The Contraction Mapping Theorem
- 2.2 Fuzzy Grey Cognitive Maps
- 3 Convergence of Fuzzy Grey Cognitive Maps
- 4 Summary
- References
- Hierarchical Fuzzy Decision Support Methodology for Packaging System Design
- Abstract
- 1 Introduction
- 2 The Fuzzy Signature Model
- 2.1 Definition of the Aggregation Operators
- 2.2 Defining the Main Aspects and the Weights
- 3 Application of the Model
- 3.1 Case Study 1
- 3.2 Case Study 2
- 4 Conclusions and Future Work
- Acknowledgement
- References
- Image Enhancement with Applications in Biomedical Processing
- 1 Nonparametric Density Estimation
- 2 Image Enhancement Using Kernel Density Estimation
- 2.1 Theoretical Aspects
- 2.2 Proposed Methodology
- 2.3 Implementation Remarks
- 3 Results and Discussion
- 4 Summary
- References
- Efficient Astronomical Data Condensation Using Fast Nearest Neighbors Search
- 1 Introduction
- 2 Methodological Preliminaries
- 2.1 Data Reduction and Its Use in Astronomy
- 2.2 Approximate Nearest Neighbors
- 3 Proposed Approach
- 4 First Results
- 5 Conclusion
- References
- Similarity-Based Outlier Detection in Multiple Time Series
- 1 Introduction
- 2 Similarity Measures
- 2.1 L-p Norms
- 2.2 Elastic Measures
- 2.3 Threshold Queries Based Similarity
- 2.4 Multidimensional Time Series Data
- 3 Multiple Time Series Outlier Analysis
- 3.1 Distance Distribution Based Method
- 3.2 Angle Based Method
- 3.3 K-Nearest Neighbour Analysis
- 3.4 Local Outlier Factor
- 3.5 Multidimensional Time Series Outlier Analysis
- 4 Experiments
- 5 Discussion and Summary
- References
- Metaheuristics in Physical Processes Optimization
- 1 Introduction
- 2 Neural Networks
- 3 Metaheuristics
- 3.1 Evolutionary Algorithm
- 3.2 Firefly Algorithm
- 4 Experiments
- 4.1 Methodology
- 4.2 Algorithms Tuning
- 4.3 Results
- 5 Discussion
- References
- Crisp vs Fuzzy Decision Support Systems for the Forex Market
- 1 Introduction
- 2 Examples of Technical Indicators
- 3 Crisp Trading System
- 4 Proposed Fuzzy Trading System
- 5 Numerical Experiments
- 6 Conclusions and Future Works
- References
- A Hybrid Cascade Neural Network with Ensembles of Extended Neo-Fuzzy Neurons and Its Deep Learning
- Abstract
- 1 Introduction
- 2 A Structure of the Hybrid Cascade Neural Network with Ensembles of Extended Neo-Fuzzy Neurons
- 3 Nodes of the Hybrid Cascade Neural Network
- 4 A Learning Method for the Hybrid Cascade Neural Network
- 5 Experimental Examples
- 6 Conclusion
- Acknowledgment
- References
- Information Technology and Systems Research
- Recurrent Neural Networks with Grid Data Quantization for Modeling LHC Superconducting Magnets Behavior
- 1 Introduction
- 2 Protection of Large Hadron Collider
- 3 Recurrent Neural Networks
- 4 Proposed Method for Anomaly Detection
- 5 Experiments and the Discussion
- 5.1 Dataset
- 5.2 Quality Assessment Measures
- 5.3 Results
- 6 Conclusions and Future Work
- References
- Two Approaches for the Computational Model for Software Usability in Practice
- Abstract
- 1 Introduction
- 2 Motivation and Background
- 3 Experimental Study
- 3.1 Qualitative Software Efficiency Evaluation
- 3.2 Fuzzy Rules Preparation for Software Usability Evaluation in MATLAB
- 3.3 Experimental Study Conclusion
- 4 Three Levels of Aggregation
- 4.1 The Organization of Questionnaires
- 4.2 Aggregating Values for Respondents
- 4.3 Aggregating Values for Groups
- 4.4 Aggregating Values for Software Tools Among Groups
- 5 Conclusion
- Acknowledgements
- References
- Graph Cutting in Image Processing Handling with Biological Data Analysis
- 1 Introduction
- 2 Segmentation and Graph Cutting
- 3 Program and User Manual
- 4 Application in Biological Data
- 5 Implementation in the Program
- 6 Results
- 7 Conclusion and Remarks
- References
- A Methodology for Trabecular Bone Microstructure Modelling Agreed with Three-Dimensional Bone Properties
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Characteristics
- 2.2 Implementation
- 3 Results and Observations
- 3.1 Case Studies
- 3.2 Parameters Tests
- 3.3 Model Analysis
- 4 Discussion and Conclusion
- 4.1 Validation
- 4.2 Summary
- Acknowledgments
- References
- RMID: A Novel and Efficient Image Descriptor for Mammogram Mass Classification
- 1 Introduction
- 2 Contribution Outline
- 2.1 RMID Principals and Design
- 2.2 Classifiers
- 3 Experiments
- 3.1 Dataset and Pre-processing
- 3.2 Evaluation Metrics
- 3.3 Evaluation Strategy and System Configuration
- 3.4 Results and Analysis
- 4 Conclusions and Future Work
- References
- Instrumentals/Songs Separation for Background Music Removal
- 1 Introduction
- 2 Related Work
- 3 Dataset Development
- 4 Proposed Method
- 4.1 Pre Processing
- 4.2 Feature Extraction
- 4.3 Classification
- 5 Result and Discussion
- 5.1 Statistical Significance Tests
- 6 Conclusion and Future Work
- References
- Content-Based Recommendations in an E-Commerce Platform
- 1 Introduction
- 2 Dataset
- 3 Methods
- 3.1 Model Building
- 3.2 Evaluation
- 4 Results and Discussion
- 5 Conclusion
- References
- Computational Physics and Applied Mathematics
- Generative Models for Fast Cluster Simulations in the TPC for the ALICE Experiment
- 1 Introduction
- 2 Related Work
- 3 Generative Models
- 3.1 Variational Autoencoder
- 3.2 Generative Adversarial Networks
- 4 Dataset
- 5 Results
- 6 Future Work
- 7 Conclusion
- References
- 2D-Raman Correlation Spectroscopy Recognizes the Interaction at the Carbon Coating and Albumin Interface
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Preparation of Carbon Layers on Titanium
- 2.2 SEM Images Analysis
- 2.3 Wettability Measurements
- 2.4 The Nano Scratch Test
- 2.5 Raman Microspectroscopy
- 2.6 2D Raman Correlation
- 3 Results and Discussion
- 3.1 SEM Images of Carbon Layers
- 3.2 Wettability of Carbon Layers
- 3.3 Nano Scratch Test
- 3.4 Raman Microspectroscopy Characterization of Nanocarbon Layers and Nanocarbon Interaction with Selected Blood Proteins
- 3.5 2D Raman Correlation Spectroscopy Characterization of Carbon Layers Interaction with Selected Blood Proteins
- 4 Summary
- 5 Conclusions
- Acknowledgements
- References
- Effect of Elastic and Inelastic Scattering on Electronic Transport in Open Systems
- 1 Introduction
- 2 Theory
- 3 Method of calculation
- 4 Results and discussion
- 5 Conclusions
- References
- P22-9muhase-Space Approach to Time Evolution of Quantum States in Confined Systems. The Spectral Split-Operator Method
- 1 Introduction
- 2 Theory
- 3 Results and Discussion
- 3.1 Initial Condition and Considered Potential Energies
- 3.2 Harmonic Oscillator Potential
- 3.3 Gaussian Potential
- 3.4 Power-Exponential Potential
- 4 Conclusions
- References
- Probability Measures and Projections on Quantum Logics
- 1 Introduction
- 2 Basic Definitions and Properties
- 2.1 Quantum Logic
- 2.2 Probability Measures of Logical Connectives on QLs
- 3 Special Bivariables Maps on QLs
- 4 Probability Measures of Projections on QLs
- 5 Summary
- References
- Statistical Analysis of Models' Reliability for Punching Resistance Assessment
- 1 Flat Slabs Punching Resistance
- 1.1 Three Normative Forms for Reliability Computation
- 2 Data Description
- 3 Graphical Analysis
- 4 Computational Data Analysis
- 5 Results Interpretation
- 6 Conclusion
- References
- On Persistence of Convergence of Kernel Density Estimates in Particle Filtering
- 1 Introduction
- 2 Preliminaries
- 2.1 Filtering Task
- 2.2 Particle Filtering
- 2.3 Kernel Density Estimates in Particle Filtering
- 3 Sobolev Character of Derivatives of Filtering Densities
- 4 Conclusions
- References
- Multidimensional Copula Models of Dependencies Between Selected International Financial Market Indexes
- 1 Introduction
- 2 Theory
- 2.1 Vine Copulas
- 2.2 Hierarchical Copulas
- 2.3 Methods
- 3 Results
- 3.1 Global Models
- 3.2 Modeling Development Dependencies by Local Models
- 4 Conclusion and Future Work
- References
- New Types of Decomposition Integrals and Computational Algorithms
- 1 Introduction
- 2 Decomposition Integrals
- 3 New Types of Integrals
- 3.1 Chain Integral
- 3.2 Min-Max Integral
- 3.3 Superdecomposition Duals
- 4 Computation Algorithms
- 4.1 Concave Integration as Linear Optimization Problem
- 4.2 Choquet and Chain Integration
- 4.3 Min-Max Integration
- 4.4 Brute Force Algorithms
- 4.5 Special Classes of Capacities
- 5 Concluding Remarks
- References
- Trend Analysis and Detection of Change-Points of Selected Financial and Market Indices
- Abstract
- 1 Introduction
- 2 Statistical Methods
- 2.1 Trend Analysis
- 2.2 Change-Point Analysis
- 2.3 Cluster Analysis
- 3 Analysis of the Development of Selected Stock Indices
- 3.1 Trend Analysis
- 3.2 Change-Point Analysis
- 3.3 Cluster Analysis
- 4 Conclusions
- Acknowledgement
- References
- Author Index
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