Intelligent Information and Database Systems: 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23–26, 2020, Proceedings, Part II (Lecture Notes in Computer Science, 12034)

Preface
Organization
Contents – Part II
Contents – Part I
Application of Intelligent Methods to Constrained Problems
Configuration of Employee Competences in IT Projects
	1 Introduction
	2 Illustrative Example and Problem Description
		2.1 Formalization of the Problem of Employee Competence Configuration
		2.2 Procedure for Verifying the Set of Employee Competences in IT Projects
	3 Computational Examples
	4 Conclusions
	References
Competence-Oriented Recruitment of a Project Team Robust to Disruptions
	1 Introduction
	2 Literature Review
	3 Model
		3.1 Illustrative Example
		3.2 Sufficient Condition
	4 Experiment
	5 Conclusions and Future Works
	References
Constraint Programming for New Product Development Project Prototyping
	1 Introduction
	2 Problem Formulation
	3 A Method of Searching Variants for the Desirable NPD Cost
	4 An Example of the Proposed Approach
		4.1 Estimating the NPD Cost
		4.2 Searching for the Desirable NPD Cost
	5 Conclusion
	References
Automated Reasoning with Applications in Intelligent Systems
A Knowledge Base for Industrial Control Network Security Analysis and Decision-Making with Reasoning Method
	1 Introduction
	2 The Proposed Method
	3 Requirement Analysis of Knowledge Base
	4 Design of Knowledge Base
	5 Implementation of Knowledge Base
	6 Concluding Remarks
	References
An Extension of Formal Analysis Method with Reasoning for Anonymity
	1 Introduction
	2 Basic Notions
	3 An Extension of Formal Analysis Method with Reasoning
		3.1 Overview of Extension Method
		3.2 Formalization of Cryptographic Protocols
		3.3 Forward Reasoning
		3.4 Analysis of the Result
	4 Case Study in Bolignano Protocol
		4.1 Bolignano Protocol
		4.2 Analysis of the Case Study
	5 Concluding Remarks
	References
An Extension of Reciprocal Logics for Trust Reasoning
	1 Introduction
	2 Trust Properties in Previous Works
	3 Reciprocal Logics and Its Limitation
	4 An Extension of Reciprocal Logics for Trust Properties
		4.1 Description of Trust Properties
		4.2 Formal Representation of Extended Predicates
	5 Conclusion
	References
Current Trends in Artificial Intelligence, Optimization, Learning, and Decision-Making in Bioinformatics and Bioengineering
Linear Classifiers with the L1 Margin from a Small Number of High-Dimensional Vectors
	1 Introduction
	2 Linear Separability of the Learning Sets
	3 The Perceptron Penalty Functions and the Criterion Function
	4 The Regularized Criterion Function
	5 Vertices in the Parameter Space
	6 Properties of the Optimal Vertex
	7 Minimization of the Regularized Criterion Function
	8 Experimental Results
	9 Concluding Remarks
	References
A Quantitative and Comparative Analysis of Edge Detectors for Biomedical Image Identification Within Dynamical Noise Effect
	1 Introduction
	2 Biomedical Applications of Edge Detectors
	3 Used Methods of Edge Detectors
		3.1 Roberts Edge Detector
		3.2 Prewitt Edge Detector
		3.3 Sobel Edge Detector
		3.4 Laplacian Operator
		3.5 Canny Edge Detector
	4 Design of Edge Detection Efficiency on the Intensity of Noise
		4.1 Implementation of Edge Operators
	5 Results and Evaluation
	6 Discussion
	References
Monitoring and Statistical Evaluation of the Effect of Outpatient Pleoptic-Orthoptic Exercises
	1 Introduction
		1.1 Simple Binocular Vision and Its Disorders
		1.2 Pleoptics
		1.3 Orthoptics
	2 Web Interface Design for Evaluation of Pleoptic-Orthoptic Exercises
		2.1 Web Interface Design
	3 Database Design and Implementation
		3.1 Database Requirements
		3.2 Implementation of the Database
	4 Design and Implementation of Graphical User Interface
		4.1 Graphical User Interface Requirements
		4.2 Realization of GUI
	5 Testing of the Resulting Software
	6 Conclusion
	References
Quantitative Analysis and Objective Comparison of Clustering Algorithms for Medical Image Segmentation
	1 Introduction
	2 Related Work
	3 Materials and Methods
		3.1 Implementation of Additive Noise
		3.2 Implementation of Algorithm
		3.3 Implementation of Noise
		3.4 Implementation of Cluster Analysis: k-Means, Fuzzy c-Means
	4 Testing and Evaluation
		4.1 Evaluation Metrics
		4.2 Evaluation of Tested Data
		4.3 Analysis Methods k-Means and Fuzzy c-Means for Every Type of Noise
		4.4 Analysis of Image Distortion Based on Noise Type Selection
		4.5 Difference in the Effect of Noise on the Image Depending on the Dataset Type
	5 Conclusion
	References
Computer Vision and Intelligent Systems
Locally Adaptive Regression Kernels and Support Vector Machines for the Detection of Pneumonia in Chest X-Ray Images
	1 Introduction
	2 Related Literature
		2.1 Image Processing
		2.2 Locally Adaptive Regression Kernels
		2.3 Principal Components Analysis
		2.4 Support Vector Machines
	3 Methodology
		3.1 Work Flow
		3.2 Dataset
		3.3 Metrics
	4 Experimental Results
		4.1 Image Preprocessing
		4.2 Feature Extraction
		4.3 Classification Results
	5 Conclusion and Future Work
	References
Deep Feature Extraction for Panoramic Image Stitching
	1 Introduction
	2 Multiple View Constraint for Image Matching
	3 Feature Extraction for Image Stitching
		3.1 Overview Flowchart of Stitching
		3.2 Learning Approach-Based Feature Extraction
	4 Experimental Results
	5 Conclusion
	References
Video-Based Traffic Flow Analysis for Turning Volume Estimation at Signalized Intersections
	1 Introduction
	2 Literature Review
		2.1 Traffic Monitoring Using Computer Vision
		2.2 Object Detection and Tracking Using Deep Learning
	3 Traffic Flow Analysis Based on Video Resources
		3.1 The Overview System
		3.2 Methodology
	4 Implementation
		4.1 Data Description and Implemented Setup
		4.2 Results Analysis
	5 Conclusion and Future Work
	References
Slice Operator for Efficient Convolutional Neural Network Architecture
	1 Introduction
	2 Related Work and Background
		2.1 Related Work
		2.2 Depthwise Separable Convolutions
	3 Network Architecture
	4 Experiments
		4.1 Experimental Configuration
		4.2 Image Classification
	5 Conclusion
	References
Weighted Stable Matching Algorithm as an Approximated Method for Assignment Problems
	1 Introduction
	2 Methods
	3 Simulation and Experiment Results
		3.1 The Score of the Stable Matching Solution
		3.2 Ranking Structure
		3.3 Computational Time Comparison
		3.4 Application to the Unbalanced Assignment Problem
	4 Discussion
	5 Conclusions
	References
Data Modelling and Processing for Industry 4.0
User-Friendly MES Interfaces: Recommendations for an AI-Based Chatbot Assistance in Industry 4.0 Shop Floors
	1 Introduction
	2 Related Work
		2.1 MES Interfaces
		2.2 Idiosyncrasies of Shop Floor
		2.3 Potentials in Chatbots
	3 Approach
	4 Findings
		4.1 High-Level Goals
		4.2 Low-Level Goals
		4.3 Output and Assessment
	5 Discussion
		5.1 Shop Floors with Virtual Intelligent-Assistant
		5.2 Real-Time AI Techniques for MES
		5.3 In-House Chatbot Solution
	6 Conclusions
	References
Modelling Shipping 4.0: A Reference Architecture for the Cyber-Enabled Ship
	1 Introduction
	2 Related Work
	3 The Extended Maritime Architectural Framework
	4 Putting the Extended MAF in Action
		4.1 C-ES Functional and Operational Requirements
		4.2 Cyber-Physical Systems of the C-ES
		4.3 C-ES Architectural Instances
		4.4 Interconnections, Dependencies and Interdependencies Among CPS
	5 Conclusions
	References
Effective Data Redistribution Based on User Queries in a Distributed Graph Database
	1 Introduction
	2 Background and Related Works
		2.1 Pregel
		2.2 Adaptive Partitioning
		2.3 Other Pregel-Compliant Methods
	3 Query Analysis and Redistribution
		3.1 Redistribution Algorithm
	4 Implementation and Experiments
		4.1 Experiments
		4.2 Results
	5 Conclusion
	References
The Functionalities of Cognitive Technology in Management Control System
	1 Introduction
	2 Related Works
	3 Traditional Functioning of a Management Control System Within the Integrated Management Information System
	4 Functionalities of Cognitive Technology
	5 Conclusions
	References
Towards the Continuous Processes Modeling of Grain Handling in Storage Facility Using Unified Process Metamodel
	1 Introduction
	2 Technological Process of Grain Handling in Trading Company
		2.1 Categorization of Grain Contamination
		2.2 Grain Storage
		2.3 Grain Redistribution
	3 Principles of UPM Process Modelling
	4 UPM Model of Continuous Grain Assessment Process
		4.1 UPM Behavioral Annotation – A Model of Grain Storage Unit
	5 Summary
	References
Intelligent Applications of Internet of Things and Data Analysis Technologies
Applications of Fuzzy Inference System on V2V Routing in Vehicular Networks
	1 Introduction
	2 System Models
	3 Fuzzy Inference Routing Mechanism
	4 Simulation Results
	5 Conclusions
	References
A kNN Based Position Prediction Method for SNS Places
	1 Introduction
	2 Related Work
	3 Proposed Method
		3.1 Place Positioning
		3.2 Place Position Predicting
	4 Experimental Results
	5 Conclusions
	References
Performance of Particle Swarm Optimization on Subcarrier Allocation for Device-to-Device Multicasting in Wireless Communication Systems
	1 Introduction
	2 System Models
	3 Performance of PSO for D2DMs
	4 Simulation Results
	5 Conclusions
	References
Comparative Analysis of Restricted Boltzmann Machine Models for Image Classification
	1 Introduction
	2 Related Work
		2.1 Restricted Boltzmann Machines (RBM)
		2.2 Stack RBM
		2.3 Deep Belief Network (DBN)
	3 Methodology
	4 Experiment and Result
	5 Conclusions
	References
Intelligent and Contextual Systems
AQM Mechanism with Neuron Tuning Parameters
	1 Introduction
	2 AQM Mechanisms with Neuron Tuning Parameters
		2.1 Adaptive Neuron AQM
		2.2 Non-integer PI Controller with Neuron Tuning Parameters
	3 Obtained Results
	4 Conclusions
	References
Deep Reconstruction Error Based Unsupervised Outlier Detection in Time-Series
	1 Introduction
	2 Materials and Methods
		2.1 Subsequence Creation
		2.2 Deep Convolutional Autoencoder Based Outlier Detection
	3 Experimental Study
		3.1 Datasets
		3.2 Evaluation Metrics
		3.3 Experimental Setups
		3.4 Results
	4 Conclusions
	References
VAR-GRU: A Hybrid Model for Multivariate Financial Time Series Prediction
	1 Introduction
	2 Methodology
		2.1 Vector Autoregression
		2.2 Gated Recurrent Unit
	3 The Proposed Framework
	4 Experimental Result
		4.1 Dataset
		4.2 Baselines
		4.3 Experimental Setup
		4.4 Prediction Results
	5 Conclusions
	References
Contextual Anomaly Detection in Time Series Using Dynamic Bayesian Network
	1 Introduction
	2 Preliminaries
		2.1 Bayesian Network (BN)
		2.2 Dynamic Bayesian Network (DBN)
	3 Methodology
		3.1 Contextual Dynamic Bayesian Network (CxDBN)
		3.2 Inference in CxDBN
	4 Experiments and Results
		4.1 Feature Extraction
		4.2 Dataset Description
		4.3 Results
	5 Conclusion
	References
Stochastic Optimization of Contextual Neural Networks with RMSprop
	1 Introduction
	2 Generalized Error Backpropagation Algorithm
	3 Generalized Error Backpropagation with RMSprop
	4 Results of Experiments
	5 Conclusions
	References
Soft Dropout Method in Training of Contextual Neural Networks
	1 Introduction
	2 Soft Dropout in Training of Neural Networks
	3 Results of Experiments
	4 Conclusions
	References
The Impact of Constant Field of Attention on Properties of Contextual Neural Networks
	1 Introduction
	2 Contextual Neural Networks and GBP Algorithm
	3 Constraining Attention of Contextual Neurons
	4 Results of Experiments
	5 Conclusions
	References
Intelligent Systems and Algorithms in Information Sciences
Soft Computing-Based Control System of Intelligent Robot Navigation
	1 The Issue of Autonomous Robot Control
		1.1 Controlling a Robot Using Neural Networks
		1.2 Use of Fuzzy Logic to Control an Autonomous Robot
		1.3 Model of the Robot
	2 Proposal of a Control System Based on Artificial Neural Networks
	3 Proposal of a Control Fuzzy Logic System
	4 Proposal of the Control Fuzzy Logic System - 2D Mapping of the Environment
	5 Comparative Experimental Study of the Proposed Approaches Using Softcomputing Methods to Control an Autonomous Robot
	6 Conclusion
	References
End-to-End Speech Recognition in Agglutinative Languages
	1 Introduction
	2 Related Work
	3 Proposed Automatic Speech Recognition System
		3.1 CTC
		3.2 Attention-Based Model
	4 Experiments and Results
	5 Conclusion
	References
Approach the Interval Type-2 Fuzzy System and PSO Technique in Landcover Classification
	1 Introduction
	2 Backgrounds
		2.1 Interval Type-2 Fuzzy Logic System
		2.2 Particle Swarm Optimization
	3 Proposal Method
	4 Experimental Results
		4.1 Experiment 1
		4.2 Experiment 2
		4.3 Experiment 3
	5 Conclusion
	References
Intelligent Supply Chains and e-Commerce
Logistics Value and Perceived Customer Loyalty in E-commerce: Hierarchical Linear Modeling Analysis
	1 Introduction
	2 Logistics as a Value
	3 Logistics Value, Closeness to Customer, and Perceived Customer Loyalty
	4 Methodology
	5 Conclusion
	References
Technology-Based Value Index to Outline e-Shopper Characteristics
	1 Introduction
	2 Technology-Resulting e-Shopper’s Value: Theoretical Considerations
	3 Research Methodology
	4 Technology-Based Value Index
	5 Technology-Based Value Index: e-Shopper’s Profiles
	6 Conclusions and Future Work
	References
Visualized Benefit Segmentation Using Supervised Self-organizing Maps: Support Tools for Persona Design and Market Analysis
	1 Introduction
	2 Background
		2.1 Persona Marketing
		2.2 Benefit Segmentation
	3 Market Segmentation Based on Self-organizing Map
	4 Benefit Segmentation Using a Supervised SOM
		4.1 Overview of Supervised SOM
		4.2 Support of Persona Design Based on Benefit Segmentation Using Supervised SOM
	5 Experiments
		5.1 Experimental Settings
		5.2 Experimental Results
		5.3 Discussion
	6 Conclusion
	References
Food Safety Network for Detecting Adulteration in Unsealed Food Products Using Topological Ordering
	1 Introduction
	2 Problem Statement and Objective
	3 Case Study
	4 System Model
	5 Proposed Solution
	6 Analysis
		6.1 Time Complexity
		6.2 Space Complexity
		6.3 Proof
	7 Experiment and Result
		7.1 Experimental Setup
		7.2 Result
	8 Conclusion and Future Work
	References
Privacy, Security and Trust in Artificial Intelligence
A Proof of Concept to Deceive Humans and Machines at Image Classification with Evolutionary Algorithms
	1 Introduction
		1.1 Background
		1.2 Context and Related Work
	2 Strategy and Implementation
		2.1 Image Similarity
		2.2 Our EA
		2.3 Target Dataset and Neural Network Architecture
	3 Running the EA: Parameters, Results and Discussion
	4 Conclusions and Future Work
	References
Scenario Generation for Validating Artificial Intelligence Based Autonomous Vehicles
	1 Introduction
	2 Related Work
	3 Scenario Generation Approach
	4 Implementation Study
		4.1 Road Pieces
		4.2 Actors
		4.3 Example Scenario
	5 Conclusion
	References
Privacy Protection in Location Based Service by Secure Computation
	1 Introduction
	2 Related Works
		2.1 Methods with TTP
		2.2 Methods Without TTP
		2.3 Methods with Untrusted Intermediate Party
	3 Asymmetric Scalar-Product Preserving Encryption
	4 Proposed Method
	5 Experiment
	6 Conclusion
	References
Interactive Analysis of Image, Video and Motion Data in Life Sciences
Exploration of Explainable AI in Context of Human-Machine Interface for the Assistive Driving System
	1 Background
		1.1 Implemented Convolutional Neural Network
	2 System Design
	3 Results and Evaluation
		3.1 Quantitative Results
		3.2 Qualitative Results
	4 Conclusion
	References
Combining Results of Different Oculometric Tests Improved Prediction of Parkinson\'s Disease Development
	1 Introduction
	2 Methods of the Experiment
	3 Computational Basis
	4 Results
	5 Discussion and Conclusions
	References
In Your Face: Person Identification Through Ratios of Distances Between Facial Features
	1 Introduction
		1.1 Background
		1.2 Related Work
	2 The Algorithm of the Proposed Method
		2.1 Overview and Setup
		2.2 Population and Sampling
		2.3 Results
	3 Case Studies: In Progress
		3.1 Case Study - Patient Identification System in Hospitals: Verification of Identity Before Medical Procedure
		3.2 Case Study - Assisted Driving System: Verification of Drivers\' Identities Before Authorizing Them to Use or Drive Special Vehicles
	4 Conclusion and Future Work
	References
Eye-Tracking and Machine Learning Significance in Parkinson’s Disease Symptoms Prediction
	1 Introduction
	2 Methods
		2.1 The Subject of the Study
		2.2 Eye Movements
		2.3 Dataset
		2.4 Computational Learning Theory
		2.5 Hypothesis
	3 Results
		3.1 Profiling
		3.2 Pre-processing
		3.3 Machine Learning
	4 Discussion
	5 Conclusions
	References
IGrC: Cognitive and Motor Changes During Symptoms Development in Parkinson’s Disease Patients
	1 Introduction
	2 Methods
		2.1 Theoretical Basis
	3 Results
		3.1 IGrC for Reference Gr2 Group
		3.2 IGrC for Estimation of General Disease Progression for Gr1 Group
		3.3 IGrC for Estimation of Motor Disease Progression for Gr1 Group
		3.4 IGrC for Estimation of Cognitive Disease Progression for Gr1 Group
	4 Discussion
	References
A New Facial Expression Recognition Scheme Based on Parallel Double Channel Convolutional Neural Network
	1 Introduction
	2 Related Work
	3 Refining PDC-CNN
		3.1 CNN
		3.2 Maxout
		3.3 Feature Fusion
		3.4 PDC-CNN
	4 Experimental Results and Analysis
		4.1 Experimental Data Preprocessing
		4.2 Experimental Results
	5 Conclusion
	References
Reversible Data Hiding Based on Prediction Error Histogram Shifting and Pixel-Based PVO
	1 Introduction
	2 Related Notions and Works
		2.1 PEHS-MED Method
		2.2 PPVO Method
	3 Proposed Method
		3.1 Motivation
		3.2 Location Map
		3.3 Determining the Auxiliary Information
		3.4 Embedding Procedure
		3.5 Extraction Algorithm
	4 Experimental Results
	5 Conclusions
	References
An Improved Reversible Watermarking Based on Pixel Value Ordering and Prediction Error Expansion
	1 Introduction
	2 GePVOK
		2.1 Embedding Process
		2.2 Extraction Process
	3 The Proposed Scheme
		3.1 The Embedding Procedure
		3.2 The Extracting Procedure
		3.3 Analysis
	4 Experimental Results
	5 Conclusion
	References
Early Detection of Coronary Artery Diseases Using Endocrine Markers
	1 Background
	2 Endocrine Markers and Cardiovascular Systems
		2.1 Thyroid Hormone
		2.2 Thyroid Action on Cardiac Muscles and Vasculature
		2.3 Thyroid Hormones Disorders
		2.4 Parathyroid Hormone
		2.5 Adrenocorticotropic Hormone
	3 Conclusions
	References
Author Index