<span>From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research – this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.0 technologie
System Analysis & Intelligent Computing: Theory and Applications (Studies in Computational Intelligence, 1022)
✍ Scribed by Michael Zgurovsky (editor), Nataliya Pankratova (editor)
- Publisher
- Springer
- Year
- 2022
- Tongue
- English
- Leaves
- 414
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
The book contains the newest advances related to research and development of complex intellectual systems of various nature, acting under conditions of uncertainty and multifactor risks, intelligent systems for decision-making, high performance computing, state-of-the-art information technologies for needs of science, industry, economy, and environment. The most important problems of sustainable development and global threats estimation, forecast and foresight in tasks of planning and strategic decision-making are investigated. This monograph will be useful to researchers, post-graduates, and advanced students specializing in system analysis, decision-making, strategic planning or engineering design, fundamentals of computational Intelligence, artificial Intelligence systems based on hybrid neural networks, big data, and data mining.
✦ Table of Contents
Preface
Contents
Part I System Analysis of Complex Systems
1 Cyclic Regularities of the Covid-19 Spread and Vaccination Effect on Its Further Reduction
1 Introduction
2 Cyclic Regularity of the Spread of Pandemic Infectious Diseases at the Beginning of the 21st Century
2.1 The Cyclic Nature of Pandemic Infectious Diseases Over the Past Two Decades
2.2 Analysis of the Cyclic Nature of the COVID-19 Pandemic Spread in Global and Regional Contexts
2.3 The Cyclic Nature of COVID-19 Spread in the Global Extent
3 Analysis of Trends in Pandemic Processes in the World Based on the Use of the Clusterization Method
3.1 Countries Clustering by COVID-19 Incidence Rate
3.2 Clustering by the Mortality Dynamics Level
4 Conclusions
References
2 Cyber-Physical Systems Operation with Guaranteed Survivability and Safety Under Conditions of Uncertainty and Multifactor Risks
1 Introduction
2 Related Work
2.1 Applications of CPS
2.2 Modeling, Simulation, and Verification of CPS
3 Cyber-Physical Systems with Guaranteed Survivability and Safety
3.1 Introduction
3.2 Modified Information Platform for Technical Diagnostics of Functioning CPS
3.3 Case Study
4 Conclusions
References
3 System Approach to Control-Oriented Mathematical Modeling of Thermal Processes of Buildings
1 Introduction
2 Analysis of Research and Publications
3 Goals and Objectives of the Study
4 Systems Approach to Mathematical Modelling of Thermal Processes of a Building
5 Discrete Mathematical Model of Flat Elements of Buildings
5.1 Heat Transferring Elements
5.2 Electrical Analogy
5.3 Chains of Heat Transferring Elements
6 Reduction of a Multizone Mathematical Model
7 Conclusions
References
4 Toward the Mentality Accounting in Large Social Systems Models
1 Introduction
1.1 Setting the Problem
1.2 Purpose of the Article
2 Models with an Internal Structure and Mentality
2.1 One Possible Way to Take into Account the Mentality
2.2 Internal Representation of the External World
2.3 An Important Representation of Some Individual
3 Mentality Accounting in Models
3.1 One Approach to Modeling Mentality
4 Models with Evolutionary Structure
4.1 Types of Mentality Variables in an Individual Representation
4.2 Fast and Slow Variables
4.3 Bonds Between Different Types of Internal Variables of Elements
5 One Simple Example in Modeling with Mentality and with Time-Dependent Bonds
6 Some Qualitative Consequences of the Proposed Methodology of Modeling Large Social Systems
7 Conclusions
References
5 The Strategy of Underground Construction Objects Planning Based on Foresight and Cognitive Modelling Methodologies
1 Introduction
2 Description of the Underground Construction Problem
3 The System Approach to the Study of Underground Development Planning Based on Foresight and Cognitive Modelling Methodologies
3.1 Methodology of Foresight
3.2 Methodology of Cognitive Modelling
4 Modelling of Underground Communications
5 Conclusion
References
6 Assessing Territories for Urban Underground Objects Using Morphological Analysis-Based Model
1 Introduction
1.1 System Approach to Urban Underground Construction
1.2 Objects of Study
2 Methods
3 Models
4 Results
5 Discussion
6 Conclusions
References
7 Application of Impulse Process Models with Multirate Sampling in Cognitive Maps of Cryptocurrency for Dynamic Decision Making
1 Introduction
2 Materials and Methods
2.1 Building an Improved Cognitive Map of Cryptocurrency Applications in the Financial Market
2.2 Development of Subsystem Models with Slow-Measured and Fast-Measured CM Coordinates with Multirate Sampling
2.3 Suppression of External and Internal Constrained Disturbances in CM Subsystems with Fast-Measured Coordinates with Multirate Sampling
3 Results
3.1 Experimental Studies of the System of Suppression of Constrained Internal and External Disturbances in a CM Subsystem with Fast-Measured Node Coordinates
3.2 Experimental Studies of Suppression of Constrained Internal and External Disturbances in a CM Subsystem with Slowly Measured Node Coordinates
4 Conclusion
References
8 Systemic Approach to Risk Estimation Using DSS
1 Introduction
2 Problem Statement
3 Data, Model and Forecasts
4 Generalized Classification of Risks
5 Bayesian Network Adaptation
6 Discussion
7 Conclusions
References
9 An Approach to Reduction of the Number of Pair-Wise Alternative Comparisons During Individual and Group Decision-Making
1 Introduction
2 Cognitive Biases, Associated with Expert Estimation Process
2.1 Sources of Cognitive Biases
3 Quality of DSS Recommendations in Weakly-Structured Subject Domains
3.1 Expert Pair-Wise Comparisons
3.2 Psychological Aspects of Pair-Wise Comparisons
4 A Method of Expert Pair-Wise Comparisons, Taking the Order of Alternatives into Consideration
5 Experimental Research of the Method
6 Usage of the Approach for Reduction of the Number of Expert Pair-Wise Comparisons During Estimation
6.1 Reducing the Number of Pair-Wise Comparisons
6.2 Implementation of the Suggested Approach
6.3 Idea and Formal Description of Group Estimation Procedure
7 Further Research
8 Conclusions
References
Part II Computational Intelligence and Intelligent Computing Technologies
10 Enhancing the Relevance of Information Retrieval in Internet Media and Social Networks in Scenario Planning Tasks
1 Introduction
2 Reduction of Inconsistency Between User’s Information Needs and the Results of User’s Inquiry in Search Engine
2.1 Operations on DWNT
2.2 DWNT Manipulation Algorithms
2.3 Information Message Search Method Using DWNT
3 Design of the Data Collection and Mining System for the Data Obtained from Internet Media and Social Networks
3.1 Defining Data-Driven Workflows
3.2 Implementation of Workflows
4 Example of Information Retrieval System Application
5 Conclusions
References
11 Breathmonitor: AI Sleep Apnea Mobile Detector
1 Introduction
2 Proposed Solution
3 Testing Results
4 Implementation
5 Conclusions
References
12 Structure Optimization and Investigations of the Hybrid GMDH-Neo-fuzzy Neural Networks in Forecasting Problems
1 Introduction
2 The Description of the Evolving Hybrid GMDH-Neo-Fuzzy Network
3 Neo-fuzzy Neuron with Small Number of Adjusted Parameters as a Node of Hybrid GMDH-System
3.1 The Neo-fuzzy Neuron Learning Algorithm
4 Results
4.1 Problem Of Industrial Prices Forecast
4.2 Problem Share Prices Forecasting
4.3 Forecasting Index NASDAQ
5 Conclusion
References
13 The Method of Deformed Stars as a Population Algorithm for Global Optimization
1 Introduction
2 Method of Deformed Stars for Multi-extremal Optimization. Two-Dimensional Case
2.1 Problem Formulation for One-, Two-Dimensional Cases
2.2 The Method of Triangular Deformed Stars (MODS-3)
2.3 The Method of Quadrangular Deformed Stars (MODS-4)
3 Method of Deformed Stars for Global Optimization, n-Dimensional Case
3.1 Formulation of the Problem
3.2 The Idea of MODS in n-Dimensional Case
3.3 Algorithm of the Method of Deformed Stars
4 The Experimental Results
4.1 The Two-Dimensional Case. MODS-3, MODS-4, MODS-5
4.2 The n-Dimensional Case
5 Conclusions
References
14 Guaranteed Estimation of Solutions to First Order Compatible Linear Systems of Periodic Ordinary Differential Equations with Unknown Right-Hand Sides
1 Introduction
2 Preliminaries and Auxiliary Results
3 Problem Statement
4 Main Results
References
15 Application of the Theory of Optimal Set Partitioning for Constructing Fuzzy Voronoi Diagrams
1 Introduction
2 Materials and Methods
2.1 Definition and Basic Properties of the Voronoi Diagram
2.2 Some Variations of the Voronoi Diagram
2.3 Continuous Problems of Optimal Set Partitioning. Voronoi Diagrams as a Result of Solving Continuous OSP Problems
3 Results
3.1 Statement of Problems for Constructing Voronoi Diagrams with Fuzzy Cells
3.2 Algorithm for Constructing a Voronoi Diagram with Fuzzy Cells with Given Coordinates of Generating Points
3.3 Examples of Constructing a Voronoi Diagram with Fuzzy Cells with Given Coordinates of Generating Points
4 Discussion and Conclusion
References
16 Integrated Approach to Financial Data Analysis, Modeling and Forecasting
1 Introduction
2 Materials and Methods
2.1 The Idea of an Integrated Approach
2.2 Integrated Models Construction
2.3 An Example of Applying an Integrated Approach to Credit Risk Analysis
2.4 Experimental Modeling of the Company's Profitability Based on Integrated Models
3 Integrated Dynamic Approach to Financial Risk Assessment
3.1 Methodology of Financial Risk Processing
3.2 Algorithms for Predicting the Time of Risk Onset
3.3 Method of Dynamic Risk Assessment
4 Credit Risks Dynamic Modeling Example
4.1 Results and Discussion
5 Conclusions
References
17 Unranked Fuzzy Logic and Reasoning
1 Introduction
2 Unranked Fuzzy Logic
2.1 Syntax
2.2 Semantics
3 Unranked Fuzzy Tableaux
4 Unranked Fuzzy Unification
5 Conclusions and Future Work
References
18 Fractal Analysis and Its Applications in Urban Environment
1 Introduction
2 Applications of Fractal Analysis
3 Computing Fractal Dimension
3.1 Box Counting Method
3.2 Walker's Ruler Method
4 Case Studies
4.1 Study 1: The Parks of Kyiv
4.2 Study 2: Kyiv Street Networks
4.3 Study 3: Urban Infrastructure Planning
5 Conclusions
References
19 Fractal Analysis Usage Areas in Healthcare
1 Introduction
2 Fractal
2.1 The Properties of Fractal
2.2 Fractal Dimension
3 Fractal Geometry
4 Fractal Analysis
5 Most Known Methods Used in Fractal Analysis
5.1 Box Counting Method
5.2 Richardson’s (Ruler/Caliper/Divider) Method
5.3 Dilation (Pixel Dilation) Method
5.4 Mass (Mass-Radius) Method
6 Fractal Analysis Usage Areas in Healthcare
6.1 Covid-19 Disease
6.2 Oncology
6.3 Cardiology
6.4 Brain Imaging
6.5 Neuroscience
6.6 Dental
6.7 Osteoporosis
6.8 Ophthalmology
6.9 Dermatology
7 Discussion
8 Conclusion
References
20 Program Code Protecting Mechanism Based on Obfuscation Tools
1 Introduction
2 Methods of Obfuscation of the Server Part
3 Methods of Obfuscation of the Client's Part
4 Conclusion
References
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