Methods and Applications for Modeling and Simulation of Complex Systems: 22nd Asia Simulation Conference, AsiaSim 2023, Langkawi, Malaysia, October ... in Computer and Information Science)

✍ Scribed by Fazilah Hassan; Noorhazirah Sunar; Mohd Ariffanan Mohd Basri; Mohd Saiful Azimi Mahmud; Mohamad Hafis Izran Ishak; Mohamed Sultan Mohamed Ali

• Tongue: English
• Leaves: 518
• Category: Library

✦ Table of Contents

Preface
Organization
Contents – Part I
Contents – Part II
FPGA Based Accelerator for Image Steganography
1 Introduction
2 LSB Algorithm for Steganography
3 Field Programmable Gate Array (FPGA)
4 FPGA-Based LSB Algorithm Implementation
4.1 Hiding System
4.2 Recovering System
5 System Evaluation
6 Conclusions
References
Research on Data Acquisition and Real-Time Communication for Intelligent Manufacturing Training Equipment Based on Model of Things and Intranet Penetration
1 Introduction
2 Methods for Data Acquisition and Interface Definition of Training Equipment Based on Model of Things
2.1 Overview of Model of Things
2.2 MoT Framework of IMTE
3 Real-Time Cross-Network Communication Based on Intranet Penetration
3.1 Overview of Frp Intranet Penetration
3.2 Cross-Network Communication Solution for IMTE
4 A Real-Time Communication System Designed for Data Acquisition, Interface Definition and Cross-Network
4.1 The Overall System Framework
4.2 PLC Reads Data from Training Equipment
4.3 Data Acquisition and Communication Platform Based on Modbus TCP and Socket
4.4 Implementation and Validation of the System
5 Conclusion
References
Research on Intelligent Manufacturing Training System Based on Industrial Metaverse
1 Introduction
1.1 Global Development on IMT
1.2 Comparative Analysis of Training Modes
2 Technical Architecture
3 Key Technologies
3.1 Rapid Modeling Technology for Industrial Equipment and Scenarios Based on CAD and BIM
3.2 Industrial Data Visualization and Somatosensory Interaction Technology Based on AR/MR
3.3 The Technology of Real-Time Industrial Data Communication and Sharing Based on Intranet Penetration
3.4 Interactive Training Teaching Technology Based on Virtual Humans
3.5 Industrial Tool Perception Access Technology Based on Inertial Motion Capture
3.6 Industrial Knowledge Retrieval and Quiz Generation Technology Based on AIGC
4 Prototype Construction
5 Conclusion and Perspectives
References
Convolutional Transformer Network: Future Pedestrian Location in First-Person Videos Using Depth Map and 3D Pose
1 Introduction
2 Background
3 Approach
3.1 Network Architecture
3.2 Data Module
3.3 Encoder and Decoder Stacks
3.4 Convolutional Multi-head Self-attention
4 Experiments
4.1 Datasets and Metrics
4.2 Implementation Details
4.3 Comparison with State-of-the-Art Methods
5 Conclusion
References
Conceive-Design-Implement-Operate (CDIO) Approach in Producing Wiring Projects for Domestic Electrical Wiring Course
1 Introduction
1.1 Research Problem
1.2 Research Objective
2 Methodology
3 Findings
3.1 Descriptive Findings
3.2 “Conceive” Element
3.3 “Design” Element
3.4 “Implement” Element
3.5 “Operate” Element
4 Discussion
5 Conclusion
References
Students’ Digital Readiness in Vocational College for Industrial Revolution 4.0
1 Introduction
2 Problem Statement
3 Objectives
4 Methodology
5 Findings
5.1 Part B Analysis: Vocational College Students’ Digital Readiness for Ir4.0 From the Attitude Aspect
5.2 Part C Analysis: Vocational College Students’ Digital Readiness for Ir4.0 From The Knowledge Aspect
5.3 Part D Analysis: Vocational College Students’ Digital Readiness for Ir4.0 From The Technical Skills Aspect
6 Discussion
7 Conclusion
References
Implementing Blockchain Technology for Accreditation and Degree Verification
1 Introduction
2 Literature Review
3 System Development Methodology
4 Requirement Analysis and Design
4.1 Use Case Diagram
4.2 System Architecture
4.3 User Interface Design
5 Results, Testing, and Discussion
5.1 Algorand Blockchain and Network Implementation
5.2 Security Implementation
5.3 Testing
6 Conclusion
References
Factors Influencing the Digital Skills of Technical Education Students
1 Introduction
2 Problem Background.
3 Objectives
4 Methodology
5 Data Analysis
6 Discussion
7 Conclusion
References
Ballet Gesture Recognition and Evaluation System (Posé Ballet): System Thinking, Design Thinking, and Dynamic Improvement in Three Versions from Laboratory to Art Gallery
1 Introduction, Motivation, and Previous Work
2 State of the Arts
3 Stakeholders’ Requirements
4 System-Thinking: Hardware, Software, and Gesture Recognition and Evaluation Framework
4.1 Hardware Prototype
4.2 Software Structure
4.3 Gesture Recognition and Evaluation Framework
5 Design-Thinking: “Posé Ballet” on Exhibition in the International Dance Festival at BACC
5.1 Features
5.2 Conceptual Ingredients for Designing GUI
6 Experiments, Preliminary Results, Feedback, and Conclusion
6.1 Recognition and Evaluation Function Used in the Experiment
6.2 Experimental Steps
6.3 Preliminary Results
6.4 Feedback Measuring Users’ Situational Interest
6.5 Feedback Measuring Users’ Competition Anxiety
6.6 Feedback Measuring Users’ Exercise Health Belief and Dance Health Belief
6.7 Discussion and Conclusion
References
Structured Teaching Using Drone Simulators for Students' Confidence in Real Flight
1 Introduction
2 Drone Technology Subject
3 Constructivism Learning Approach
4 Methodology
5 Result
5.1 Preliminary Data Before Entering the Course
5.2 Drone Simulator Data
5.3 Real Flight Data
6 Discussion
6.1 Before Entering the Course
6.2 During the Course
6.3 Real Flight Data
7 Conclusion
References
Use of Drone Flight Simulator for Bridging Theories of UAV Systems into Practice: A Pilot Study
1 Introduction
2 Simulation-Based Learning
3 Research Methodology and Pilot Study
4 Research Findings
4.1 Self-awareness
4.2 Contextual Understanding
4.3 Evaluating the Effectiveness of Practice
5 Conclusion
References
Enhancement of System Network Based on Voltage Stability Indices Using FACTS Controllers
1 Introduction
2 Background
2.1 Voltage Stability Assessment
2.2 FACTS Controllers for Voltage Stability Enhancement
3 Methodology
3.1 Voltage Stability Indices
3.2 Voltage Stability Enhancement using FACTS Controllers
4 Results and Analysis
4.1 Analysis for Stability Index Ranked
4.2 Voltage Profile
5 Conclusion and Future Studies
References
Analysis of Multi Criteria Decision Making (MCDM) Techniques for Load Shedding in Islanded Distributed System
1 Introduction
2 Islanding Operation
3 MCDM Method
3.1 AHP Method
3.2 TOPSIS Method
4 Proposed Method
4.1 Test System
4.2 Voltage Stability Index Calculation
4.3 Islanding Operation
4.4 Under Frequency Load Shedding (UFLS)
5 Result and Analysis
6 Conclusion
References
Comparison of Diesel and Green Ship Carbon Emissions with A-Star Route Optimization
1 Introduction
2 Methodology
2.1 Vessel Particulars
2.2 Route Information
2.3 Sea State
2.4 Wind Speed Data Collection
2.5 Estimation of Ship Speed Loss Based on Beaufort Number
2.6 Simulation Conditions
3 Engine Fuel Consumption Calculations
3.1 MDO Engine
3.2 Dual-Fuel 95-5 Ammonia-MDO Engine
4 Carbon Emission Calculations
4.1 Carbon Dioxide (CO2) Emissions
4.2 Sulphur Oxides (SOx) Emissions
4.3 Nitrogen Oxides (NOx) Emissions
4.4 Methane (CH4) Emissions
4.5 Carbon Oxide (CO) Emissions
4.6 Nitrous Oxide (N2O) Emissions
5 Results and Discussions
5.1 Voyage Duration
5.2 Fuel Costs
5.3 Carbon Emissions
6 Conclusions
References
A Model Validation Method Based on Convolutional Neural Network
1 Introduction
2 Model Validation
3 CNN Method for Model Validation
3.1 The CNN Solution
3.2 Data Pre-processing
3.3 Activation Function
3.4 Loss Function
3.5 Optimization Algorithm
4 Case Study
4.1 The Model and Credibility Tag
4.2 CNN Establishment and Training
4.3 Same Input Model Validation
4.4 Different Input Model Validation
5 Conclusion
References
A Multiview Approach to Tracking People in Crowded Scenes Using Fusion Feature Correlation
1 Introduction
2 Related Works
3 Proposed Method
3.1 Fusion Feature Extraction and Update
3.2 Calculation of Feature Correlation
3.3 Target Addition and Reappearance Determination
4 Experiments
5 Conclusion
References
Prototype Learning Based Realistic 3D Terrain Generation from User Semantics
1 Introduction
2 Prototype Learning Based 3D Terrain Generation
2.1 The Framework of ProTG-Net
2.2 The Texture Generation Module TGM
2.3 The Prototype Features Extraction and Comparison
2.4 Network Loss Function
3 Implementation Results and Analysis
3.1 Datasets and the Evaluation Method
3.2 Network Hyperparameters
3.3 Experimental Results and Analysis
4 Summary
References
Research on Matrix Factorization Recommendation Algorithm Based on Local Differential Privacy
1 Introduction
2 Preliminaries
2.1 Local Differential Privacy
2.2 Matrix Factorization Algorithm
3 Local Differential Privacy Based Recommendation Algorithm
3.1 Overall Framework
3.2 Local Differential Privacy-Based Recommendation
4 Simulation and Analysis
4.1 Simulation Experiment
4.2 Simulation Results
5 Conclusion
References
Enhancing Face Recognition Accuracy through Integration of YOLO v8 and Deep Learning: A Custom Recognition Model Approach
1 Introduction
2 Literature Review
2.1 Convolution Neural Network
2.2 Deep Learning
2.3 Existing Model
3 Proposed Approach
3.1 Python
3.2 OpenCV
3.3 Roboflow
3.4 Dataset
3.5 YOLO V8
3.6 The Layout of YOLOv8
3.7 Reasons to Use YOLO v8
4 Proposed Methodology
4.1 Capturing Images
4.2 Face Detection
4.3 Face Recognition
4.4 Labelling Images
4.5 Training Phase
4.6 Model Graph Result
5 Results
5.1 Implementation of Face Recognition
6 Conclusion
References
NARXNN Modeling of Ultrafiltration Process for Drinking Water Treatment
1 Introduction
2 Ultrafiltration Drinking Water Treatment Pilot Plant
3 NARXNN Modeling
4 Result and Discussion
5 Conclusion
References
Improvement of Vision-Based Hand Gesture Recognition System with Distance Range
1 Introduction
2 Methodology
2.1 Hand Tracking Module
2.2 Virtual Mouse Algorithm
2.3 Virtual Keyboard Algorithms
2.4 GUI Algorithm
2.5 Range Limitation
3 Results and Analysis
4 Conclusion
References
Synthetic Data Generation for Fresh Fruit Bunch Ripeness Classification
1 Introduction
2 Working Principle
2.1 3D Modelling
2.2 Simulation Setup and Domain Randomisation
2.3 Performance Metrics
3 Result and Discussion
3.1 Dataset Quantity Optimising
3.2 Validation with Real FFBs Dataset
4 Conclusion and Future Work
References
Application of Artificial Intelligence for Maternal and Child Disorders in Indonesia: A Review
1 Introduction
2 Methodology
3 Result
3.1 Caesarian Section
3.2 Health Status
3.3 Preeclampsia
3.4 Pregnancy Disorders
4 Discussion
5 Conclusion
References
Up Sampling Data in Bagging Tree Classification and Regression Decision Tree Method for Dengue Shock Syndrome Detection
1 Introduction
2 Research Method
2.1 Preprocessing Data
2.2 Machine Learning
3 Result and Discussion
4 Conclusion
References
Real-Time Crack Classification with Wall-Climbing Robot Using MobileNetV2
1 Introduction
2 Research Framework
2.1 Mechanics of Wall Climbing Robot
2.2 Tools and Hardware
3 Methods and Definitions
3.1 Dataset Preparation
3.2 Data Processing
3.3 CNN Classifier Model Configuration
3.4 Analysis of the Sensitivity of Hyper-Parameters
4 Results and Discussion
5 Conclusion
References
Estimation of Remaining Useful Life for Turbofan Engine Based on Deep Learning Networks
1 Introduction
1.1 Predictive Maintenance
1.2 Deep Learning System Model
2 Methodology
3 Results
4 Conclusion
References
Simulation Design of Reinforcement-Based Migration System in Software-Defined Networking Using Q-Learning
1 Introduction
2 Reinforcement-Learning Related Works in SDN
3 Research Analysis and Challenges of SDN Migration
4 The Proposed Design of Reinforcement-Based SDN Migration
5 Conclusion
References
A Preliminary Study on the Possibility of Scene Captioning Model Integration as an Improvement in Assisted Navigation for Visually Impaired Users
1 Introduction
2 Related Work
3 Proposed Model
4 Discussion
5 Conclusion
References
Smart Agriculture: Transforming Agriculture with Technology
1 Introduction
2 Methodology
2.1 Types of Data and Data Resources
2.2 Network Organization
2.3 Data Center
2.4 IoT in Smart Agriculture
2.5 Machine Learning Models
3 Application of Smart Agriculture
3.1 Data Center in Chanthaburi
3.2 Smart Agriculture Management System (SAMs)
4 Discussion
5 Conclusion
References
WebGIS Visualization of Infectious Disease Clustering with a Hybrid Sequential Approach
1 Introduction
2 Related Work
3 Research Methodology
3.1 Data Collection
3.2 Data Preprocessing
3.3 Hybrid Sequential Clustering Algorithm
3.4 WebGIS Visualization
4 Result
4.1 Clustering Result
4.2 Evaluation Result
4.3 WebGIS Visualization Result
5 Conclusion
References
Research on Security Assets Attention Networks for Temporal Knowledge Graph Enhanced Risk Assessment
1 Introduction
2 Related Work
3 Methodology
3.1 Structural Attention Network
3.2 Temporal Self-attention Network
3.3 Asset Risk Classful Network
4 Experiments
4.1 Experimental Setup
4.2 Experimental Results
4.3 Ablation Study
4.4 Visualization of Security Asset Node Representations
5 Conclusion
References
Parameter Study on the Use of Artificial Intelligence to Optimize Response to Unattended Bags to Increase Airport Security
1 Introduction
2 Methodology
2.1 Reinforcement Learning Method
2.2 Description of the Environment
2.3 Description of the Algorithm
2.4 Realization of the Parameter Study
3 Results/Discussion
4 Conclusion
References
Revolutionizing Plant Disease Detection with CNN and Deep Learning
1 Introduction
2 Literature Review
3 Proposed Methods
4 Convolutional Neural Network
5 Experimental Result
6 Limitation and Future Work
7 Conclusion
References
Comparative Analysis of Machine Learning Algorithms in Vehicle Image Classification
1 Introduction
2 Materials and Methods
2.1 Data Description
2.2 Feature Extraction
2.3 Vehicle Image Classification
2.4 Evaluation Metrics
3 Results and Discussion
3.1 Color Layout Feature Descriptor
3.2 Edge Histogram Feature Descriptor
3.3 Pyramid Histogram Oriented Gradient (PHOG) Feature Descriptor
3.4 Receiver Operating Characteristic (ROC)
4 Conclusions
References
Evaluation of Linear Imputation Based Pediatric Appendicitis Detection System Using Machine Learning Algorithm
1 Introduction
2 Literature Review
3 Dataset Overview
3.1 Properties of Pediatric Appendicitis Dataset
3.2 Response Feature Information
3.3 Features Exploration
4 Methodology
4.1 Data Preprocessing
4.2 Data Transforming
4.3 Exploratory Data Analysis (EDA)
5 Feature Selection and Model Implementation
5.1 Model Building
5.2 Feature Selection:
6 Experimental Setup
6.1 Data Splitting
6.2 Mean Absolute Error (MAE) and Mean Squared Error (MSE)
6.3 R-squared
7 Result and Discussion
7.1 Result Analysis:
7.2 Discussion
8 Conclusion
References
MMoE-GAT: A Multi-Gate Mixture-of-Experts Boosted Graph Attention Network for Aircraft Engine Remaining Useful Life Prediction
1 Introduction
2 Preliminary
2.1 MMoE
2.2 GAT
3 Methodology
4 Experiment and Discussion
4.1 Dataset Description
4.2 Sensor Selection and Data Normalization
4.3 Sliding Window Processing and Sensor Graph Construction
4.4 Evaluation Indicators
4.5 Hyperparameters
4.6 RUL Prognostics Results
5 Conclusion
References
Integrating Dynamic Limiting Mechanism in Electric Scooters to Mitigate Range Anxiety via SoC-Tracking Range-Enhancement Attachment (STRETCH)
1 Introduction
2 Literature Review
3 Methodology
4 Results and Discussion
4.1 Datalogging
4.2 Hard Limiting Discussion
4.3 Dynamic Limiting Algorithms
5 Conclusion
References
Atrial Fibrillation Detection Based on Electrocardiogram Features Using Modified Windowing Algorithm
1 Introduction
2 Materials and Method
2.1 Proposed Study
2.2 Database
2.3 ECG Signal Preprocessing
2.4 Feature Extraction
2.5 Signal Classification
3 Results and Discussion
3.1 Result Modified Windowing Algorithm
3.2 Result Holdout Validation
4 Conclusion
References
Author Index