Computer Information Systems and Industrial Management: 22nd International Conference, CISIM 2023, Tokyo, Japan, September 22–24, 2023, Proceedings (Lecture Notes in Computer Science)

Preface
Organization
Keynotes
	Berserk Detection in Distributed Ledger Systems
	An Impact of Transformative Artificial Intelligence Research on Biometric Privacy, Security and Ethics
	Data Privacy, Energy Awareness and Credibility: Advances in Machine Learning
	Modeling of Real-Life Problems Using the Graph-Theoretic Approach (Invited Paper)
	Contents
Biometrics and Pattern Recognition Applications
Proposal of Earprint Authentication System Considering Pressing Force
	1 Introduction
		1.1 Background of Earprint Recognition
	2 Earprint Authentication System
		2.1 Device for Acquiring Earprints
		2.2 Preprocessing of Earprint
		2.3 Acquisition of Earprint
		2.4 Actual Usage Scene of Proposed System
	3 Evaluation Experiment
		3.1 Methodology
		3.2 Results
		3.3 Discussion
	4 Conclusion
	References
Performance Improvement of Person Verification Using Evoked EEG by Imperceptible Vibratory Stimulation
	1 Introduction
	2 Person Verification Using Evoked EEG from Imperceptible Vibratory Stimulation
		2.1 Imperceptible Vibratory Stimulation
		2.2 Event-Related Potential
		2.3 Verification
		2.4 Performance Evaluation
	3 Performance Improvement
		3.1 Weighted Content Ratio
		3.2 Change of Bandwidth for Extracting Features
	4 Conclusions
	References
Biometric Gait Analysis Using Wrist-Mounted Wearable Sensors
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Dataset Description
		3.2 Data Augmentation Mechanism
		3.3 Classifier Architecture and Data Validation Method
	4 Results of Experiments
	5 Conclusions
	References
Finger Minutiae Extraction Based on the Use of YOLO-V5*-1pc
	1 Introduction
	2 Related Work
	3 Proposed Method
		3.1 Data Enhancement
		3.2 Data Augmentation
		3.3 Model
	4 Training and Metrics
	5 Results
	6 Conclusion
	References
Computer Information Systems and Security
Towards a Blockchain, Smart Contract, and NFT Based Waste Treatment System for Developing Countries: A Case Study in Vietnam
	1 Introduction
	2 Related Work
		2.1 Waste Sorting and Treatment Solutions Based on Blockchain Technology
		2.2 The Approaches Apply to Specific Regions
		2.3 Analysis of Approaches Based on Blockchain Technology Applied to Vietnam
	3 Approach
		3.1 Traditional Waste Treatment Model in Vietnam
		3.2 Waste Treatment Model Based on Blockchain, Smart Contract and NFT
	4 Implementation
		4.1 Initialize Data/NFT
		4.2 Data Query
		4.3 Data Updated
	5 Evaluation
		5.1 Transaction Fee
		5.2 Gas Limit
		5.3 Gas Used by Transaction
		5.4 Gas Price
	6 Discussion
	7 Conclusion
	References
A New File Format for Binarized Images
	1 Introduction
	2 State of the Art
	3 A New File Format – RLBG
	4 Experiments and Results
		4.1 Applications
		4.2 Conclusions
	References
A New Approach to the Architecture of Hybrid and Multilayer Steganographic Methods*-1pc
	1 Introduction
	2 Related Works
		2.1 Single Message Multiple Cover - Type 1
		2.2 Single Cover Multiple Messages - Type 2
	3 Motivation
	4 Proposed Architecture - From the General to the Specific
		4.1 Example 1 - Hybrid Method
		4.2 Example 2 - Multilayer Method
		4.3 Example 3 - Hybrid - Multilayer Method
	5 Performed Tests
		5.1 Imperceptibility Test
		5.2 Robustness
		5.3 Capacity
		5.4 Tested Methods
		5.5 Results
	6 Conclusions
	References
Towards a Blockchain, Smart Contract, and NFT Based Medical Waste Classification System: A Case Study in Vietnam
	1 Introduction
	2 Related Work
		2.1 Waste Treatment Model to Achieve Circular Economy (CE)
		2.2 Model of Waste Treatment in Medical Environment
	3 Approach
		3.1 Traditional Model of Treatment and Classification of Medical Waste
		3.2 Model of Treatment and Classification of Medical Waste Based on Blockchain Technology, Smart Contract and NFT
	4 Implementation
		4.1 Initialize Data/NFT
		4.2 Data Query
		4.3 Data Updated
	5 Evaluation
		5.1 EVM-Supported Platforms
		5.2 Transaction Fee
		5.3 Gas Limit
		5.4 Gas Used by Transaction
	6 Discussion
	7 Conclusion
	References
A Game-Based Approach for Mitigating the Sybil Attacks on Blockchain Applications
	1 Introduction
		1.1 Why Sybil Attack is Threat to Blockchain
	2 Literature Review
		2.1 Findings of Literature Review
		2.2 Gap Analysis
		2.3 Problem Statement
	3 Methodology
		3.1 Proposed Solutions
		3.2 The Game Model
		3.3 Simulated Result and Analysis
	4 Conclusion
	References
Industrial Management and Other Applications
Dynamic Adaptive Capacity of Metalworking Companies in Barranquilla - Colombia: Analysis from the Export Process in the 4.0 Era
	1 Introduction
	2 Literature Review
	3 Materials and Method
	4 Results
	5 Discussions
	6 Conclusions
	References
An Ecological Unmanned Hot-Air Balloon for the Agricultural Lands’ Inspection
	1 Introduction
	2 Literature Review
	3 Design of the Oliver
	4 Mathematical Models of the Oliver
	5 Control of the Oliver
	6 Conclusion
	References
SE-Coins System: Software for Supporting Gamification-Based Educational Processes
	1 Introduction
	2 Related Work
	3 Methodology
	4 Proposal’s Planning
		4.1 Requirements Analysis
		4.2 Risk Assessment
	5 Software Design
		5.1 Use Case Diagram
		5.2 State Diagram
		5.3 Collaboration Diagram
		5.4 Components Diagram
	6 Software Architecture
	7 Software Implementation
	8 Conclusions
	References
The Effects of Buyer-Supplier Collaboration on Supply Chain Performance: A Study in the Brazilian Electronics Sector
	1 Introduction
	2 Buyer-Supplier Collaboration
	3 Methodology
	4 Results and Discussions
	5 Conclusions
	References
Relationship Between Degree of Appropriation of ICT and Learning Styles of Teachers in Training
	1 Introduction
	2 Methodology
		2.1 Research Results and Findings
		2.2 Statistical Analysis
	3 Discussion
	4 Conclusion
	References
Efficacy of Flipped Learning in Engineering Education of India
	1 Introduction
	2 Literature Survey
	3 Methodology and Execution
	4 Result Analysis
	5 Conclusions
	References
Hybrid Recommender System Model for Tourism Industry Competitiveness Increment
	1 Introduction
	2 Methodology
		2.1 Literature Review for Theoretical Documentation of the Topic Under Study
		2.2 Identification of the Most Used Techniques and Models of Recommender Systems in Tourism for Tourism Promotion and Security
		2.3 Configuration of the Hybrid Model to Address Tourism Competitiveness Indicators Such as Tourism Promotion and Security
	3 Results
		3.1 Fields of Uses of Recommender Systems in Tourism
		3.2 Identification of the Most Used Techniques and Models of Recommender Systems in Tourism for Tourism Promotion and Security
		3.3 Configuration of the Hybrid Model to Address Tourism Competitiveness Indicators
	4 Conclusion
	References
Machine Learning and Artificial Neural Networks
Insect Detection on High-Resolution Images Using Deep Learning
	1 Introduction
		1.1 A Subsection Sample
		1.2 Usage of Deep Learning in Camera Traps and Insects Detection
		1.3 The Paper Contribution
	2 Materials and Methods
		2.1 Dataset Acquisition
		2.2 Data Processing
		2.3 Deep Learning Architecture
		2.4 Model Training and Validation Process
		2.5 Software and Hardware Used During Experiments
		2.6 Testing of the Model
	3 Results
		3.1 Correct Predictions
		3.2 Incorrect Predictions
		3.3 Validation of the Automatic Counting
	4 Discussion and Conclusions
		4.1 Comparison to Other State-of-the-Art Research Results
		4.2 Challenges in Annotating Data for Model Training
		4.3 Limitations and Considerations for Increasing Model Accuracy and Precision
		4.4 Validation of Automatic Counting
		4.5 Applicability and Potential of the Algorithm for Large-Scale Insect Monitoring
	5. References
Grading Diabetic Retinopathy Using Transfer Learning-Based Convolutional Neural Networks
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Work Environment
		3.2 Dataset Description and Processing
		3.3 Proposed Approach
		3.4 Performance Indicators
	4 Results and discussion
		4.1 Comparative Between Evaluated Models
		4.2 Comparative with Related Works
	5 Conclusions
	6 Funding Statement
	References
Evaluating Techniques Based on Supervised Learning Methods in Casas Kyoto Dataset for Human Activity Recognition
	1 Introduction
	2 Related Research
	3 Methodology
	4 Data Preparation
	5 Experimentation
	6 Conclusions
	References
A Novel Self-supervised Representation Learning Model for an Open-Set Speaker Recognition
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Self-supervised Network
		3.2 Cluster Criterion
		3.3 Model Architecture
	4 Experimental Results
		4.1 Datasets
		4.2 Experimental Setup
		4.3 Ablation Study
		4.4 Speaker Clustering
		4.5 Speaker Verification
		4.6 Computational Complexity
	5 Conclusion
	References
How to Boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes
	1 Introduction
	2 Related Works
	3 Materials and Methods
		3.1 Encoding Schemes
		3.2 Classifiers
	4 Experiments and Results
		4.1 Datasets
		4.2 Experimental Procedure
		4.3 Metrics
		4.4 Results
	5 Conclusions
	References
Neural Networks and Saliency Maps in Diabetic Retinopathy Diagnosis
	1 Introduction
	2 Related Works
	3 Proposed Approach
	4 Experiments
	5 Conclusions and Future Work
	References
Towards Rough Set Theory for Outliers Detection in Questionnaire Data*-1pc
	1 Introduction
	2 Rough Set Theory for Outliers Detection
		2.1 Rough Set Theory in a Nutshell
		2.2 Proposed Method for Outlier Detection
	3 Overview of the Tested Pipeline
		3.1 HBSC Data Cleaning and Preprocessing
		3.2 Outlier Score Methods
	4 Experiments
		4.1 Model Setup
		4.2 Outlier Scores Distribution and Relation
		4.3 Importance of Outliers
		4.4 Computation Times
	5 Conclusion
	References
Modelling and Optimization
Optimization of Bread Production Using Neuro-Fuzzy Modelling
	1 Introduction
	2 Dough Making Process
	3 Fuzzy Modeling
	4 Fuzzy Logic and ANFIS Applications
	5 Bread Kneading Fuzzy Model
		5.1 Expert Knowledge
		5.2 Fuzzy Model for Changing the Mixing Mode
	6 The Experiments
		6.1 Generated Data
		6.2 Mixing Mode Fuzzy Model for Generated Data
		6.3 Mixing Mode ANFIS Model for Generated Data
		6.4 Real Data
		6.5 Mixing Mode ANFIS Model for Real Data
	7 Conclusions
	References
Applications of Graph Topology in Manufacturing of Anti Cancer Drugs
	1 Introductions
		1.1 Various Neighbourhood Degree Based Topological Indices
		1.2 Hyaluronic Acid-Paclitaxel Conjugates
	2 Main Results
	3 Conclusions
	References
An Approach Toward Congestion Management for Improved Emergency Vehicle Management in Intelligent Urban Traffic Network
	1 Introduction
	2 Related Work
	3 Categorization of the Intersection
	4 Proposed Methodology
		4.1 Traffic Light Scheduling for Emergency Vehicles
		4.2 Traffic Light Scheduling for Normal Vehicles Without the Existence of Emergency Vehicles
	5 Performance Analysis
		5.1 Case Study of the Proposed Method
	6 Conclusion
	References
Proposal of an Algorithm for Solving the Component Assignment Problem of an Adjacent Triangle-(m,n):F Triangular Lattice System
	1 Introduction
	2 Component Assignment Problem for Tri/(m,n):F Systems
		2.1 Formulation of the CAP
		2.2 Birnbaum Importance
	3 Algorithm for Finding the Optimal Arrangement
		3.1 Pruning Based on System Reliability
		3.2 Pruning Conditions for Eliminating Symmetric Arrangements
		3.3 Pruning Conditions Based on Necessary Conditions
		3.4 Overview of the Algorithm
	4 Numerical Experiment
	5 Conclusion
	References
Music Recommender System Considering the Variations in Music Selection Criterion Using an Interactive Genetic Algorithm
	1 Introduction
	2 Related Work
		2.1 Music Recommender Systems
		2.2 Interactive Music Recommender Systems
		2.3 Interactive Genetic Algorithm in Music Recommender System
	3 Proposed Method
		3.1 iGA in Our Research
		3.2 Overview of Our System
	4 Experiment
		4.1 Dataset
		4.2 Music Selection Criteria
		4.3 Simulation
		4.4 Result
	5 Discussion
	6 Conclusion
	References
Fault Detection of Moore Finite State Machines by Structural Models
	1 Introduction
	2 Related Works
	3 The Demonstration Example
	4 Proposed Structural Models of the Moore FSMs
	5 Evaluation of the Area and Performance of the Proposed Structural Models
	6 Experimental Results
	7 Conclusions
	References
Investigation of Subjective Impression Perceived from Agent that Expresses Multiple Opinions Simultaneously
	1 Introduction
	2 Godspeed Questionnaire Series
	3 Styles of Expressing Multiple Opinions Simultaneously
	4 Experiment
		4.1 Hypotheses
		4.2 Method
		4.3 Questionnaires
		4.4 Procedure
		4.5 Results
	5 Discussion
		5.1 Approach-Approach Expression
		5.2 Avoidance-Avoidance Expression
		5.3 Approach-Avoidance Expression
	6 Conclusion
	References
ICBAKE 2023 Workshop: Wellbeing and Affective Engineering
Facial Expression Estimation Using Convolutional Neural Network with Upper and Lower Segmented Face Images
	1 Introduction
	2 Related Works
		2.1 Upper, Middle and Lower Region Learning for Facial Action Unit Detection
		2.2 Recognizing Facial Expressions of Occluded Faces Using Convolutional Neural Networks
	3 Proposed Method
		3.1 Face Image Segmentation
		3.2 Squeeze-and-Excitation Block
		3.3 Models
	4 Experiment
		4.1 Dataset and Settings
		4.2 Experimental Results
	5 Discussion
	6 Conclusions
	References
Two-Step Classification Method for Sadness and Fear Facial Expression Classification Using Facial Feature Points and FACS
	1 Introduction
	2 Related Research
		2.1 Detection of Abnormal Facial Expressions Based on Long Short-Term Memory Using the Facial Action Coding System (FACS)
		2.2 Image Preference Estimation Using Facial Expression Features in Multiple Image Domains
	3 Previous Method
		3.1 Facial Expression Intensity
		3.2 Facial Features
		3.3 Problem
	4 Proposed Method
		4.1 Extraction of Facial Feature Points and AUs by OpenFace
		4.2 Setting New Facial Features
		4.3 Facial Expression Classification in Two Steps
		4.4 Careful Selection of Features by Importance
	5 Experiment
		5.1 Dataset
		5.2 Expression Classification Without Consideration of Importance
		5.3 Facial Expression Classification Based on Importance
	6 Consideration
	7 Conclusion
	References
Positiveness Calculation of Japanese POPS Using Music Features Extracted from Acoustic Data
	1 Introduction
	2 Methods
		2.1 Thayer Model
		2.2 Extraction of Music Features
		2.3 Extraction of Music Features Related to the Arousal Axis
		2.4 Extraction of Music Features Related to the Valence Axis
		2.5 Calculation of Values
		2.6 Music Material
		2.7 Evaluation Experiment
	3 Results
		3.1 Relevance of the Selected Songs
		3.2 Determination of Weighting and Membership Values
		3.3 Accuracy of Valence and Arousal Values
		3.4 Positiveness Error Verification for Each Song
	4 Conclusion
	References
Machine Learning Using Biometric Data and Kansei Data
Classification of Programming Logic Understanding Level Using Mouse Tracking Heatmaps and Machine Learning Techniques
	1 Introduction
	2 Related Work
		2.1 Programming Logic Understanding Level
		2.2 Mouse Tracking Heatmap
		2.3 Block Coding Learning Platform
		2.4 Principal Components Analysis
	3 Methodology
		3.1 Proposed Procedure
		3.2 Gathering of Dataset
		3.3 Data Preparation
		3.4 Building Classification Models
		3.5 Evaluating Classification Models
	4 Results and Discussion
	5 Conclusion
	References
Investigating the Use of Machine Learning Methods for Levels of Sense of Presence Classification Based on Eye Tracking Data
	1 Introduction
	2 Related Works
		2.1 Evaluation Models for Immersive Virtual Environments
		2.2 Automatic Methods for Evaluating Immersive Virtual Environments
		2.3 Using Eye Tracking Data for Subjective Measurement in Immersive Virtual Environments
	3 Experimental Design for Data Collection
		3.1 Virtual Environment and Task
		3.2 Participant
		3.3 Questionnaire for Making Ground-Truth Labels
		3.4 Device
		3.5 Experimental Procedure
	4 Sense of Presence Classification Using Machine Learning
		4.1 Preprocessing and Feature Extraction
		4.2 Machine Learning Training and Validation Details
	5 Experimental Results
		5.1 Effect of Object Texture Resolution on Sense of Presence
		5.2 Levels of Sense of Presence Classification Using Machine Learning
	6 Discussion
	7 Conclusion
	References
Personalized Beverage Blending System Using Interactive Genetic Algorithm and Its Search Analysis
	1 Introduction
	2 Beverage Blending System with Interactive Genetic Algorithm
		2.1 Outline of the System
		2.2 Interactive Genetic Algorithm
		2.3 Solution Representation in IGA
		2.4 Experiment Equipment
	3 Subject Experiments
		3.1 Outline of Experiments
		3.2 Five Source Juices Experiments.
		3.3 Eight Source Juices Experiments
	4 Conclusion
	References
Author Index