
Computational Statistics and Mathematical Modeling Methods in Intelligent Systems
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This book presents real-world problems and exploratory research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of the intelligent systems.
This book constitutes the refereed proceedings of the 3rd Computational Methods in Systems and Software 2019 (CoMeSySo 2019), a groundbreaking online conference that provides an international forum for discussing the latest high-quality research results.
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Content
- Intro
- Preface
- Organization
- Program Committee
- Program Committee Chairs
- International Program Committee Members
- Organizing Committee Chair
- Conference Organizer (Production)
- Contents
- Static Compensator for Decentralized Control of Nonsquare Systems
- Abstract
- 1 Introduction
- 2 Gain Matrix Estimation
- 3 Static Compensator Design
- 4 Conclusions
- Acknowledgment
- References
- The Distributed Ledger-Based Technique of the Neuronet Training Set Forming
- Abstract
- 1 Introduction
- 2 Data Labeling Approaches and the Labeling Noise
- 3 Distributed Ledger and Its Applicability to the Data Labeling
- 4 The Analysis and Estimation of DLT Application to the Dataset Forming
- 5 Discussion and Conclusion
- Acknowledgements
- References
- Decision Support Systems for the Oil Fields with Cloud Multiagent Service
- Abstract
- 1 Introduction
- 2 The Cloud Service Architecture
- 3 The Suggested Approach to Creation of Agents Societies of the Cloud Service
- 4 The Algorithm of the Agents Society Creation
- 5 The Results of Experimental Research
- Acknowledgement
- References
- Floating Data Window Movement Influence to Genetic Programming Algorithm Efficiency
- Abstract
- 1 Introduction
- 2 Floating Data Window
- 3 Experiment Design and Obtained Results
- 4 Conclusion
- Acknowledgement
- References
- Performance Analysis of Collaborative Data Mining vs Context Aware Data Mining in a Practical Scenario for Predicting Air Humidity
- 1 Introduction
- 2 Methods
- 2.1 Collaborative Data Mining (CDM)
- 2.2 Context Aware Data Mining (CADM)
- 2.3 Experimental Setup and Implementation
- 3 Results
- 3.1 Collaborative Data Mining (CDM) Results
- 3.2 Context-Aware Data Mining (CADM) Results
- 3.3 CDM vs CADM Results
- 4 Conclusions
- References
- Structuring a Multicriteria Model to Optimize the Profitability of a Clinical Laboratory
- Abstract
- 1 Introduction
- 2 Theoretical Reference
- 2.1 Multi-criteria Support in Decision-Making
- 2.2 Management in Clinical Laboratories
- 3 Methodology
- 4 Results and Analysis
- 5 Conclusion
- References
- Discharge of Lithium-Oxygen Power Source: Effect of Active Layer Thickness and Current Density on Overall Characteristics of Positive Electrode
- Abstract
- 1 Introduction
- 2 Experimental
- 2.1 Electrochemical Measurements
- 2.2 Analysis of Experimental Data
- 3 Computer Simulations
- 3.1 Relationship of Cathode Capacity with Current Density
- 3.2 Method of Calculations
- 3.3 Results of Calculation of Cathode Characteristics
- 4 Conclusions
- Acknowledgement
- References
- Comprehensive Framework for Classification of Abnormalities in Brain MRI Using Neural Network
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Problem Description
- 4 Proposed Methodology
- 5 System Implementation
- 6 Results Discussion
- 6.1 About Database
- 6.2 Analysis Strategy
- 6.3 Visual Results
- 6.4 Numerical Results
- 7 Conclusion
- References
- Application of Value Set Concept to Ellipsoidal Polynomial Families with Multilinear Uncertainty Structure
- Abstract
- 1 Introduction
- 2 Uncertainty Structure
- 3 Uncertainty Bounding Set
- 4 Ellipsoidal Polynomial Family
- 5 Value Sets
- 6 Illustrative Example
- 7 Conclusion
- Acknowledgments
- References
- Comparison of Methods for Time Series Data Analysis for Further Use of Machine Learning Algorithms
- Abstract
- 1 Introduction
- 2 Background and Methods
- 3 Moving Average
- 4 Exponential Smoothing
- 4.1 Single Exponential Smoothing
- 4.2 Double Exponential Smoothing
- 4.3 Triple Exponential Smoothing
- 5 Conclusion
- Acknowledgments
- References
- Missing Data in Collaborative Data Mining
- 1 Introduction
- 2 Methods
- 2.1 Collaborative Data Mining with Missing Data
- 2.2 Preparation of Data Sources
- 2.3 Missing Data - cMDaa Method
- 2.4 Results - cMDaa Method
- 2.5 Missing Data - cMDimv Method
- 2.6 Results - cMDimv Method
- 3 Conclusions
- References
- A Survey on Program Analysis and Transformation
- Abstract
- 1 Introduction
- 2 Background
- 2.1 Program Transformation
- 2.2 Software Testing
- 2.3 Genetic Algorithms
- 2.4 Program Transformation with Genetic Algorithm
- 3 Challenges
- 3.1 Program Transformation Challenges
- 3.2 Genetic Algorithm Challenges
- 4 Achieving Program Transformation and Software Testing Using Genetic Algorithms
- 4.1 Using Genetic Algorithms to Support Software Testing
- 4.2 Different Implementations of GAs to Support Software Testing
- 4.3 Hybrid Genetic Algorithms
- 4.4 Using Genetic Algorithms to Evolve Transformation Sequences
- 5 Conclusion
- References
- An Improved Location Model for the Collection of Sorted Solid Waste in Densely Populated Urban Centres
- Abstract
- 1 Introduction
- 2 Model Definition and Formulation
- 3 Lagrangian Relaxation Heuristic for Solving P
- 4 Preliminary Numerical Implementation of the Model
- 5 Concluding Remarks
- Acknowledgements
- References
- Atrial Fibrillation for Stroke Detection
- Abstract
- 1 Introduction
- 2 Literature Review
- 3 Methodology
- 3.1 Sensor Module
- 3.2 Microcontroller
- 3.3 Display Module
- 4 Results and Discussion
- 4.1 System Performance Test
- 4.2 User Acceptance Test
- 5 Conclusion and Recommendations
- Acknowledgment
- References
- A Self-adapting Immigrational Genetic Algorithm for Solving a Real-Life Application of Vehicle Routing Problem
- 1 Introduction
- 1.1 Related Work
- 1.2 The Business Case
- 1.3 Notations and Problem Definition
- 2 Vehicle Routing Problem
- 3 Genetic Algorithms for VRP
- 4 Case Study
- 4.1 Experimental Setup
- 4.2 Genetic Algorithm Parameters Setup
- 4.3 Experimental Results
- 5 Conclusions
- References
- Scalable Hypothesis Tests for Detection of Epileptic Seizures
- 1 Introduction
- 2 Methods
- 2.1 EEG Sensors Data Collection
- 2.2 EEG Sensors Data Processing
- 2.3 Features Extraction Based on Scalable Hypothesis Tests
- 2.4 Prediction of Epileptic Seizures
- 3 Results
- 3.1 Features Extraction Results
- 3.2 Classification Results
- 4 Discussions
- References
- The Exact Frequency Domain Solution for the Periodic Synchronous Averaging Performed in Discrete-Time
- Abstract
- 1 Introduction
- 2 Spectral Description of Periodic Averaging
- 3 Simulation
- 4 Distinction Estimation
- 5 Conclusion
- Acknowledgement
- References
- An Adaptive Cognitive Temporal-Causal Model for Extreme Emotion Extinction Using Psilocybin
- Abstract
- 1 Introduction
- 2 Underlying Neurological Principles
- 3 The Temporal-Causal Network Model
- 4 Example Simulation
- 5 Conclusion
- References
- The Simulation Study of Recursive ABC Method for Warehouse Management
- Abstract
- 1 Introduction
- 2 Problem Formulation
- 3 Model of Warehouse and the Objective Function
- 4 Results of Simulation Experiments
- 5 Summary of Results
- 6 Conclusion
- Acknowledgment
- References
- Influence of Digital Transformation on the Customer Relationship
- Abstract
- 1 Introduction
- 2 Influence of Digital Transformation
- 2.1 ASIDAS-Model
- 2.2 Touchpoints Customer Journey
- 2.3 Automatization of Data Processing
- 3 Conclusion
- References
- The Comparison of Machine-Learning Methods XGBoost and LightGBM to Predict Energy Development
- Abstract
- 1 Introduction
- 2 Feature Analysis
- 2.1 Computation of Pearson Correlation Coefficient
- 3 Building the Prediction Model
- 3.1 XGBoosST Method
- 3.2 LigthGBM Method
- 4 Conclusion
- Acknowledgments
- References
- C4.5 Decision Tree Enhanced with AdaBoost Versus Multilayer Perceptron for Credit Scoring Modeling
- Abstract
- 1 Introduction
- 2 Related Works
- 3 The Proposed Methods
- 3.1 C4.5
- 3.2 AdaBoost
- 3.3 Multilayer Perceptron
- 3.4 Proposed Techniques
- 3.5 Performance Evaluation
- 3.6 Datasets
- 4 Experimental Results
- 5 Conclusions
- References
- Stability and Dissipativity of Multistep Runge-Kutta Methods for Nonlinear Delay Differential Equations with Constrained Grid
- Abstract
- 1 Introduction
- 2 The Description of the Problem and Numerical Methods
- 3 Finite-Dimensional Numerical Dissipativity
- 4 Infinite-Dimensional Numerical Dissipativity
- 5 Comparison with Existing Results
- 6 Numerical Examples
- Acknowledgments
- References
- Monophonic Distance Based Indices of Graphs
- Abstract
- 1 Introduction
- 2 Monophonic Index of Cn and Wn
- 3 Monophonic Index of Cartesian Product of {\varvec P}_{2} with {\varvec P}_{{\varvec n}} and {\varvec C}_{{\varvec n}}
- 4 Monophonic Index of Corona Product of Graphs
- 5 Conclusion
- References
- A Novel Schema for Secure Data Communication over Content-Centric Network in Future Internet Architecture
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Problem Description
- 4 Proposed Methodology
- 5 System Implementation
- 5.1 Design Attributes/Components
- 5.2 Design Methodology
- 5.3 Execution Flow
- 6 Results and Discussion
- 7 Conclusion
- References
- Computational Processes Management Methods and Models in Industrial Internet of Things
- 1 Introduction
- 1.1 Stages of Production Management Automation
- 1.2 The Industrial Internet
- 2 Computational Processes Management
- 2.1 Logical-Dynamic Models for Computation Planning
- 3 Way to Implement the Suggested Approach
- 4 Conclusion
- References
- Applied Quadratic Programming with Principles of Statistical Paired Tests
- Abstract
- 1 Introduction
- 2 Multivariable Model Predictive Control
- 3 Applied Quadratic Programming Technique
- 4 Paired Tests Applied in Quadratic Programming in MPC
- 5 Results
- 6 Conclusion
- References
- Migration and Self-selection: An Agent-Based Model
- Abstract
- 1 Introduction
- 2 Global Structure of the Model
- 2.1 Conceptual Model
- 3 Simulation and Results
- 3.1 Simulations
- 3.2 Scenarios Tested
- 3.3 Results
- 4 Conclusion
- References
- Analysis of Independences of Normality on Sample Size with Regards to Reliability
- Abstract
- 1 Introduction
- 2 Testing Normality of Data in Context of Testing Hypotheses
- 3 Consequences of Data Normality Supported by Reliability
- 4 Results
- 5 Conclusion
- References
- Novel Analytical Model for Resource Allocation Over Cognitive Radio in 5G Networks
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Problem Description
- 4 Proposed Methodology
- 5 System Implementation
- 5.1 Implementation Strategy
- 5.2 Execution Flow
- 6 Results Discussion
- 7 Conclusion
- References
- Numerical Analysis of Discrete Lp-norm Error for Rayleigh-Ritz Variational Technique and Its Application to Groundwater Flows Model
- 1 Introduction
- 2 Semi-discrete Model
- 3 Rayleigh-Ritz for Boundary Value Problem
- 4 Numerical Computation
- 4.1 Accuracy
- 4.2 Groundwater Flow
- 5 Conclusion
- References
- Parallel Computing Application for Testing of Parameters of Active Phased Antenna Array Noise Modules
- Abstract
- 1 Introduction
- 2 Researching of the Scenario of the Shift of Microwave Modulators from Deterministic to Chaotic Mode and the Model for Calculating of Modulator's Parameters
- 3 The Parallelization of Computing of Parameters of Optical Microwave Modulators and the Application of Distributed Computing Systems
- 4 Conclusions
- References
- Lifetime Adaptation in Genetic Programming for the Symbolic Regression
- Abstract
- 1 Introduction
- 2 Background
- 2.1 Genetic Programming
- 2.2 Symbolic Regression
- 2.3 Hybrid Evolutionary Methods
- 2.4 Lamarckian Evolution
- 2.5 Baldwin Effect
- 2.6 Stochastic Hill-Climbing Search Algorithm
- 3 Methodology
- 4 Results
- 5 Discussion
- 6 Conclusion
- Acknowledgments
- References
- Forecasting of Migration Processes by Integrating Probabilistic Methods and Simulation
- Abstract
- 1 Introduction
- 2 Background
- 3 Approaches and Methods
- 4 Analytical Entropy and Simulation Models of Migration
- 5 Results
- 6 Conclusion
- Acknowledgements
- References
- Social Networking Services as a Tool for State and Regional Governance (On the Example of the Arctic Region)
- Abstract
- 1 Introduction
- 2 The Specifics of SNS in State and Regional Governance
- 3 Organizational Experience of the Governmental Services in SNS
- 4 The Experience of Legal State Regulation Use of SNS by the Officials
- 5 Technical and Ethical Difficulties in Monitoring Legislation Compliance
- 6 Study of SNS Use in Arctic Region Governance
- 7 Conclusion
- Acknowledgements
- References
- Discrete Synthesis of a Stochastic Regulator for Adaptation of a Discrete Economic Object on a Target Manifold
- Abstract
- 1 Introduction
- 2 Formulation of the Problem
- 3 Problem Solution of Synthesizing a Robust Regulator for a Discrete Model
- 4 Technique Applications of Stochastic Control Synthesis for a Stochastic, Discrete Problem of Inventory Control
- 5 Comparative Simulation Results
- 6 Conclusion
- References
- Integrated Model of Bandwidth Optimization and Energy Efficiency in Internet-of-Things
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Problem Description
- 4 Proposed Methodology
- 5 System Design Implementation
- 5.1 Implementation Strategy
- 5.2 Essential Parameters Involved
- 5.3 Execution Flow
- 6 Results Discussion
- 7 Conclusion
- References
- Modeling of Secure Communication in Internet-of-Things for Resisting Potential Intrusion
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Problem Description
- 4 Proposed Methodology
- 5 System Implementation
- 5.1 Network Setup
- 5.2 Key Management
- 5.3 Confirming System Set-up
- 5.4 Key & Signature Generation
- 5.5 Secure Group Communication in IoT
- 6 Results Discussion
- 7 Conclusion
- References
- A Review of the Regression Models Applicable to Software Project Effort Estimation
- Abstract
- 1 Introduction
- 2 Linear Regression
- 3 Variants of Models
- 3.1 Multiple Linear Regression (MLR)
- 3.1.1 AOM
- 3.1.2 The Stepwise Approach
- 3.2 Whale-Crow Optimisation (WCO)
- 4 Discussion
- 5 Conclusion
- Acknowledgment
- References
- A Review of Software Effort Estimation by Using Functional Points Analysis
- Abstract
- 1 Introduction
- 2 Problem Statement
- 2.1 Research Questions and Goals
- 2.2 Evaluation Criteria
- 3 Background
- 3.1 Functional Points Analysis
- 3.2 Method Standards
- 4 Methods Used
- 4.1 Weights and Complexities
- 4.2 Technological Independences
- 4.3 Adjusted Function Size Calculation
- 5 Discussion and Conclusion
- Acknowledgment
- References
- Author Index
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