Intelligent Decision Technologies

Name: Intelligent Decision Technologies | Proceedings of the 12th KES International Conference on Intelligent Decision Technologies (KES-IDT 2020)
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Proceedings of the 12th KES International Conference on Intelligent Decision Technologies (KES-IDT 2020)

Ireneusz Czarnowski Robert J. Howlett Lakhmi C. Jain(Editor)

Springer (Publisher)

1st Edition

Published on 11. June 2020

XVII, 546 pages

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978-981-15-5925-9 (ISBN)

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Ireneusz Czarnowski is a Professor at the Gdynia Maritime University. He holds B.Sc. and M.Sc. degrees in Electronics and Communication Systems from the same university. He received his doctorate in Computer Science from the Faculty of Computer Science and Management, Poznan University of Technology, in 2004. In 2012, he completed his postdoctoral degree at Wroclaw University of Science and Technology. His research interests include artificial intelligence, machine learning, evolutionary computations, multi-agent systems, data mining and data science. He is an Associate Editor of the Journal of Knowledge-Based and Intelligent Engineering Systems, published by IOS Press, and a reviewer for several scientific journals.
Dr. Robert Howlett is the Executive Chair of KES International, a non-profit organization that facilitates the dissemination of research results in areas including intelligent systems, sustainability, and knowledge transfer. A Visiting Professor at Bournemouth University, UK, his technical expertise is in the use of intelligent systems to solve industrial problems. He has been successful in applying artificial intelligence, machine learning, and related technologies to sustainability and renewable energy systems; condition monitoring, diagnostic tools, and systems; and automotive electronics and engine management systems. His current research focuses on the use of smart microgrids to achieve reduced energy costs and lower carbon emissions in areas such as housing and protected horticulture.
Dr. Lakhmi C. Jain, Ph.D., M.E., Fellow (Engineers Australia), is affiliated with the University of Technology Sydney, Australia, and Liverpool Hope University, UK. Professor Jain serves with KES International, which provides the professional community with opportunities for publication, knowledge exchange, cooperation, and teambuilding. Involving over 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for the professional community through one of the largest conferences of its kind.

Content

Intro
KES-IDT 2020 Conference Organization
Honorary Chairs
General Chair
Executive Chair
Program Chair
Publicity Chair
Special Sessions
International Program Committee
Preface
Contents
Main Track
Solving Job Shop Scheduling with Parallel Population-Based Optimization and Apache Spark
1 Introduction
2 Population-Based Approaches to Solving Difficult Optimization Problems
3 Job Shop Scheduling
4 Parallel Population-Based Optimization in Spark
5 Experiment Results
6 Conclusion
References
Predicting Profitability of Peer-to-Peer Loans with Recovery Models for Censored Data
1 Introduction
1.1 What Is Peer-to-Peer Lending?
2 Literature Review
2.1 Predicting the Profitability Peer-to-Peer Loans
3 Model
4 Data Set
5 Experiments
5.1 Interpreting Loan Profitability and Borrower Characteristics
5.2 Predicting Loan Profitability
6 Conclusion
References
Weighted Network Analysis for Computer-Aided Drug Discovery
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
References
Manufacturing as a Service in Industry 4.0: A Multi-Objective Optimization Approach
1 Introduction
2 Context
3 Methodology
3.1 Data Representation
3.2 Fitness Function and the Pareto Front
3.3 A Word About Metrics
3.4 Benchmark Data
4 Experimentation on the ZDT1 Benchmark
5 Experimentation on a Case Study
5.1 Temporal Overlap Coefficient
5.2 Formalization of the Problem and Analysis of the Results
6 Conclusions
References
Conservative Determinization of Translated Automata by Embedded Subset Construction
1 Introduction
2 Determinization of Finite Automata by Subset Construction
3 Translated Finite Automata
4 Embedded Subset Construction
4.1 Automaton Translation
4.2 Bud Processing
5 Experimental Results
6 Conclusion
References
Explanatory Monitoring of Discrete-Event Systems
1 Introduction
2 Des Modeling
3 Explanation by Temporal Faults
4 Explainer Compilation
5 Monitoring Trace and Explanation Trace
6 Explanatory Monitoring
7 Conclusion
References
Artificial Intelligence Technique in Crop Disease Forecasting: A Case Study on Potato Late Blight Prediction
1 Introduction
2 The Proposed Method
2.1 Dataset
2.2 Labeling Method
2.3 Preprocessing
2.4 Classification
3 Experimental Results
4 Conclusion and Future Works
References
Optimal Quality-Based Recycling and Reselling Prices of Returned SEPs in IoT Environment
1 Introduction
2 Problem Definition and Model
3 Algorithm and Numerical Study
3.1 Algorithm
3.2 Benchmark Example
3.3 Sensitive Analysis
4 Conclusions and Future Works
References
On a Novel Representation of Multiple Textual Documents in a Single Graph
1 Introduction
2 Background Work
2.1 Graph of Words
2.2 Graph-Based Keyword Extraction
2.3 Graph-Based Text Categorization
2.4 Graph Databases
3 Our Approach: Graph of Docs
3.1 Keyword Extraction
3.2 Document Similarity Subgraph
3.3 Text Categorization
4 Experiments
4.1 Dataset
4.2 Implementation
4.3 Evaluation
5 Conclusions
References
Multi-agent Approach to the DVRP with GLS Improvement Procedure
1 Introduction
2 Multi-agent Approach to the DVRP
2.1 Overview
2.2 Collecting the Newly Arriving Requests and Solving the Static Subproblem of the DVRP
2.3 Dispatching Cumulated Requests to the Available Vehicles
3 Computational Experiment
4 Conclusions
References
Intelligent Data Processing and Its Applications
Detecting Relevant Regions for Watermark Embedding in Video Sequences Based on Deep Learning
1 Introduction
2 Related Work
3 The Proposed Method
3.1 Optical Flow Estimates Based on Deep Learning
3.2 Textural Estimates
3.3 Concatenation
4 Experimental Results
5 Conclusions
References
Artificial Neural Network in Predicting Cancer Based on Infrared Spectroscopy
1 Introduction
2 Short Summary of Medical IROS
3 ANN Concept-Basic Definitions
4 Network Training Algorithms
5 Preliminary Practical Results
5.1 Pre-processing
5.2 Number of Inputs Selection
5.3 ANN Design
5.4 Training, Testing, and Validation
5.5 Selection of Training Algorithms and Optimal Amount of Neurons in Hidden Layer
6 Conclusions
References
Evaluation of Shoulder Joint Data Obtained from CON-TREX Medical System
1 Introduction
2 Development of Reconstructive Medicine
3 CON-TREX Medical System Data Description
4 CON-TREX Data Evaluation
4.1 Data Pre-processing and Model Generation
4.2 Data Visualization and Interpretation Based on a Histogram Approach
4.3 Evaluation of Dynamics
5 Conclusions
References
Framework for Intelligent Wildlife Monitoring
1 Introduction
2 Related Work
3 Current State and Ecological Monitoring in Ergaki Natural Park
4 Methods and Materials
4.1 Methods for Data Obtaining and Processing
4.2 Architecture of Information System
4.3 The Results of Ecological Monitoring of Ergaki Natural Park
5 Conclusions
References
Computation the Bridges Earthquake Resistance by the Grid-Characteristic Method
1 Introduction
2 Computational Grids
2.1 Trapezoid with Straight Boundaries
2.2 Trapezoid with Analytical Parameterized Curved Boundary
3 Mathematical Model
4 Bridge Over a Highway: Simulation Results
5 Bridge Over a River: Influence of Water Level and Design Parameters
6 Conclusions
References
Study the Elastic Waves Propagation in Multistory Buildings, Taking into Account Dynamic Destruction
1 Introduction
2 Mathematical Models
3 Wave Patterns: Influence of P-Wave
4 Wave Patterns: Influence of S-Wave
5 Analysis of Changes in Wavelength, Amplitude, and Dispersion
6 Conclusions
References
Icebergs Explosions for Prevention of Offshore Collision: Computer Simulation and Analysis
1 Introduction
2 Mathematical Models
3 Influence of the Surrounding Water
4 Varying Explosion Parameters
5 Influence of the Geometry of the Iceberg
6 Conclusions
References
Genetic Operators Impact on Genetic Algorithms Based Variable Selection
1 Introduction
2 Variable Selection Approaches
3 Genetic Algorithms Based Variable Selection
4 Genetic Operators for GA-based Variables Selection
4.1 Initialization Operators
4.2 Selection Operators
4.3 Crossover Operators
4.4 Mutation Operators
5 Assessment of Genetic Operators on Variable Selection
6 Conclusions and Future Works
References
Symmetry Indices as a Key to Finding Matrices of Cyclic Structure for Noise-Immune Coding
1 Introduction
2 Quasi-orthogonal Matrices with Two Values of Elements
3 Symmetry and Antisymmetry Indices of a Circulant Matrix
4 Examples of Symmetric Structure Finiteness
5 Symmetries of Circulant Mersenne Matrices
6 Symmetry Indices for Mersenne Matrices of Composite Orders
7 Conclusions
References
Search and Modification of Code Sequences Based on Circulant Quasi-orthogonal Matrices
1 Introduction
2 Background
3 Ways to Form Circulant Quasi-orthogonal Matrices
4 Search for Codes Based on Rows of Quasi-orthogonal Matrices
5 Modified Code Sequences
6 Summary
7 Conclusions
References
Processing of CT Lung Images as a Part of Radiomics
1 Introduction
2 Technique of CT Images Processing
2.1 Pre-processing and Initial Visualization
2.2 Image Segmentation and Data Visualization
3 Experimental Assessment
4 Conclusions
References
High-Dimensional Data Analysis and Its Applications
Symbolic Music Text Fingerprinting: Automatic Identification of Musical Scores
1 Introduction
2 The Concepts of Sound
2.1 The Melody
2.2 The Rhythm
3 The Fingerprint of a Musical Score
4 Application and Analysis: Obtained Results
4.1 Features Extraction
4.2 Storing Fingerprints
4.3 Experiment and Results
5 Discussion and Conclusions
References
Optimization of Generalized C_p Criterion for Selecting Ridge Parameters in Generalized Ridge Regression
1 Introduction
2 Preliminaries
3 Main Results
4 Numerical Study
References
A Fast Optimization Method for Additive Model via Partial Generalized Ridge Regression
1 Introduction
2 New Optimization Method
2.1 Estimation via Partial Generalized Ridge Regression
2.2 Optimization Method for Smoothing Parameters
3 Numerical Study
References
Improvement of the Training Dataset for Supervised Multiclass Classification
1 Introduction
2 Overlapping Classifier Based on k-means Method
3 Numerical Example
4 Conclusion
References
A Constrained Cluster Analysis with Homogeneity of External Criterion
1 Introduction
2 Algorithms
2.1 The First-Stage Cluster Analysis: An Algorithm Applying k-Means Method
2.2 The Second-Stage Cluster Analysis: An Algorithm to Add Constraints
3 Practical Application: Formulating Survey Blocks for the 2019 Economic Census
3.1 Information Available
3.2 The Basic Concepts in Formulating the Survey Blocks
3.3 The Constraint: An Indicator for the Burden of Enumerators
3.4 The First-Stage Cluster Analysis
3.5 The Second-Stage Cluster Analysis
4 Results: A Numerical Example
5 Conclusions
References
Trust-Region Strategy with Cauchy Point for Nonnegative Tensor Factorization with Beta-Divergence
1 Introduction
2 Nonnegative Tensor Factorization
3 Algorithm
4 Experiments
5 Discussion and Conclusions
References
Multi-Criteria Decision Analysis-Theory and Their Applications
Digital Twin Technology for Pipeline Inspection
1 Introduction
1.1 Industry 4.0
1.2 Digital Twin for CPS
2 Relevance of the Topic
2.1 CPS for Technogenic Security
2.2 Fault Detection in CPS
3 Modeling Fault-Tolerance CPS
3.1 Non-destructive Testing Methods
3.2 Fault Diagnosis Supervision
4 Conclusion
References
Application of Hill Climbing Algorithm in Determining the Characteristic Objects Preferences Based on the Reference Set of Alternatives
1 Introduction
2 Fuzzy Logic-Preliminaries
3 The Characteristic Objects Method
4 Hill Climbing Method
5 Study Case
6 Conclusions
References
The Search of the Optimal Preference Values of the Characteristic Objects by Using Particle Swarm Optimization in the Uncertain Environment
1 Introduction
2 The Characteristic Objects Method
3 Particle Swarm Optimization Algorithm
4 Study Case
5 Conclusions
References
Finding an Approximate Global Optimum of Characteristic Objects Preferences by Using Simulated Annealing
1 Introduction
2 Fuzzy Logic-Preliminaries
3 The Characteristic Objects Method
4 Simulated Annealing Method
5 Study Case
6 Conclusions
References
Large-Scale Systems for Intelligent Decision-Making and Knowledge Engineering
Digital Systems for eCTD Creation on the Pharmaceutical Market of the Eurasian Economic Union
1 Introduction
2 Methods
3 Results
4 Discussion
5 Conclusions
References
Scientific Approaches to the Digitalization of Drugs Assortment Monitoring Using Artificial Neural Networks
1 Introduction
2 Methods
3 Results
4 Discussion
5 Conclusions
References
The Geographic Information System of the Russian Ministry of Health
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusion
References
Creation of a Medical Decision Support System Using Evidence-Based Medicine
1 Introduction
2 Materials and Methods
3 Relevance
4 Scientific Novelty
5 Research Problem
6 Expected Results
7 Conclusion
References
Improve Statistical Reporting Forms in Research Institutions of the Health Ministry of Russia
1 Introduction
2 Materials and Methods
3 Outcomes
4 Discussion
5 Summary
References
Chat-Based Approach Applied to Automatic Livestream Highlight Generation
1 Introduction
2 Background
3 Related Work
4 The Problem and Approaches in General
4.1 Twitch.tv Architecture
4.2 The Problem Definition
4.3 Suggested Approaches
5 Frequency Statistics-Based Approach
6 Implementing a Highlight Generator
6.1 Web Interface
6.2 Video Compiler
6.3 Highlight Tracker
7 Conclusion
References
Decision Technologies and Related Topics in Big Data Analysis of Social and Financial Issues
What Are the Differences Between Good and Poor User Experience?
1 Introduction
2 Related Work
3 Method of This Study
3.1 Lecture on HCD and UX
3.2 Questionnaire
3.3 Methodology of Analyses
4 Results and Discussion
4.1 Top 10 of Good UX and Poor UX
4.2 Notable Answers
4.3 Discussions of the Results
5 Conclusions and Future Work
References
Two-Component Opinion Dynamics Theory of Official Stance and Real Opinion Including Self-Interaction
1 Introduction
2 Theory
3 Results
3.1 Setting of Calculation
3.2 Self-interaction of Official Stance and Real Opinion
3.3 Asymmetric Case
3.4 Romeo and Juliet
4 Discussion
5 Conclusion
References
Theory of Opinion Distribution in Human Relations Where Trust and Distrust Mixed
1 Introduction
2 Method
3 Results
4 Discussion
5 Conclusion
6 Future Works
References
Is the Statistical Property of the Arrowhead Price Fluctuation Time Dependent?
1 Introduction
2 Statistical Distribution of Price Fluctuation: Gaussian or not?
3 Making Use of Scale Invariance of Levy's Stable Distribution
3.1 Scale Invariance of Stable Distribution
3.2 The First Method
3.3 The Second Method
4 Possible Source of Variations in a
5 Time Dependence of the Statistical Properties
6 Conclusion and Future Works
References
Decision-Making Theory for Economics
History of Mechanization and Organizational Change in the Life Insurance Industry in Japan (Examples from Dai-ichi Life, Nippon Life, Imperial Life, Meiji Life)
1 Introduction
2 Establishment of Life Insurance Companies and Management Mechanization
2.1 Life Insurance and Management Mechanization
2.2 The Japanese Life Insurance Industry
3 History of Management Mechanization in Japan
4 History of Life Insurance Business and Mechanization
4.1 Nippon Life Insurance
4.2 Dai-ichi Life Insurance
4.3 Asahi Mutual Life Insurance (Former Imperial Life)
4.4 Meiji Life Insurance
5 Consideration
6 Conclusion
References
A Diagram for Finding Nash Equilibria in Two-Players Strategic Form Games
1 Introduction: Strategic Form and Nash Equilibrium
2 A Diagram to Find Nash Equilibria
3 For Pure Nash Equilibrium
4 For Mixed Nash Equilibrium
5 Discussion and Future Works
References
An AHP Approach for Transform Selection in DHCT-Based Image Compression
1 Introduction
2 Method for Determining Parameter p by AHP
2.1 Reference Noise-Weight Vector
2.2 Weight Vector with Parameter p About Noise
2.3 Determining the Parameter p
3 Effectiveness of Determined Parameter p
4 Conclusions
References
SPCM with Improved Two-Stage Method for MDAHP Including Hierarchical Criteria
1 Introduction
2 SPCM
3 Improved Two-Stage Method
4 Numerical Example of Using SPCM for Calculation of MDAHP
5 Conclusion
References
Tournament Method Using a Tree Structure to Resolve Budget Conflicts
1 Introduction
2 Our Method
3 A Numerical Example
4 Evaluation Cost
5 Discussion
References
Upgrading the Megacity Piloting a Co-design and Decision Support Environment for Urban Development in India
1 Introduction
2 Related Work
3 Local Pilot Test-Methodology
4 Technology
5 Results Discussion
6 Conclusions and Outlook on Future Research
References
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Intelligent Decision Technologies

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