Advances in Information and Communication Technology: Proceedings of the 2nd International Conference ICTA 2023, Volume 1 (Lecture Notes in Networks and Systems, 847)

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This book contains four keynote abstracts and 83 best peer-reviewed papers selected from the 179 submissions at the 2nd International Conference on Advances in ICT (ICTA 2023), which share research results and practical applications in ICT research and education. Technological changes and digital transformation that have taken place over the past decade have had significant impacts on all economic and social sectors. Information and Communication Technology (ICT) in general and artificial intelligence (AI) in particular have driven socio-economic growth.

The topics cover all ICT-related areas and their contributions to socio-economic development, focusing on the most advanced technologies, such as AI. Researchers and practitioners in academia and industry use the books as a valuable reference for their research activities, teaching, learning, and advancing current technologies.

The Conference is hosted by Thai Nguyen University of Information and Communication Technology (ICTU).

Author(s): Phung Trung Nghia (editor), Vu Duc Thai (editor), Nguyen Thanh Thuy (editor), Le Hoang Son (editor), Van-Nam Huynh (editor)
Edition: 1st ed. 2023
Publisher: Springer
Year: 2023

Language: English
Pages: 372

Exploitation of Electronic Medical Records
Advancing Slope Land Disaster Monitoring and Alert Systems through Synergistic IoT and AI Integration
Audio/Speech Information Hiding Based on Human Auditory Characteristics
Research on Intrusion Detection on Host Devices
About This Book
About the Editors
Artificial Intelligence
A Combination of Active Learning and Deep Learning for Improving Breast Cancer Prediction
1 Introduction
2 Related Works
3 Proposed Approach
3.1 Sampling Methods
3.2 Fine-Tuned Deep Learning Models
4 Experiments
4.1 Dataset and Hyperparameters
4.2 Evaluate the Experiment Results
5 Conclusion
A Novel Arm Bone Fracture Detection Using Deep Learning
1 Introduction
2 Methodology
2.1 Proposed approach
2.2 YOLOv7-mask Instance Segmentation
2.3 Image Processing Algorithms
2.4 Super Resolution Generative Adversarial Networks
2.5 YOLOv7-E6E Object Detection
3 Experimental Results
3.1 Environment Setup
3.2 YOLOv7-mask Training Results
3.3 SRGAN Training Results
3.4 YOLOv7-E6E Training Results
3.5 Compare with another method
4 Conclusion
A Systematic Review of Artificial Intelligence in Geographic Information Systems
1 Introduction
2 Materials and Methods
2.1 Data Selection
2.2 Data Analysis and Reporting
3 Results
3.1 RQ1: What Is the Trend of Peer-Reviewed Papers on the Application of AI in GIS from 2014 to 2023, and How Has the Number of Publications Changed Over Time?
3.2 RQ2: What Countries Are Most Active in Researching AI in GIS and Is There Any Collaboration Between Them?
3.3 RQ3: Which Journals Are the Most Influential in the Field of AI in GIS?
3.4 RQ4: What Emerging Themes and Trends Can Be Synthesized from Recent Research of AI in GIS?
4 Discussion
5 Conclusion and Future Work
Build an Effective System for Container Code Recognition
1 Introduction
2 Our Approach
2.1 Code Location
2.2 Code Segmentation
2.3 Code Recognition
3 Experiment Results
4 Conclusions
Building an Efficient Retriever System with Limited Resources
1 Introduction
2 Background and Related Works
2.1 The Dual-Encoder Passages Retriever
2.2 The Cross-Encoder Passages Re-ranker
3 Our Proposed Approach
3.1 Fine-Tuning PhoBERT for Domain-based QA Systems
3.2 The Dual-Encoder
3.3 Cross-Encoder
4 Experiments
4.1 Dataset
4.2 Experimental Setup
4.3 Experimental Results
5 Conclusion
Deep Learning Based Coconut Fruit Maturity Classification
1 Introduction
2 Related Works
3 Methodology
3.1 Dataset Acquisition
3.2 Classification Models
3.3 Evaluation Metrics
3.4 Experiments and Results
4 Conclusion
Enhanced Prediction of mRNA Subcellular Localization Using a Novel Ensemble Learning and Hybrid Approach
1 Introduction
2 Material and Methods
2.1 Data Collection
2.2 Feature Engineering
2.3 Model Construction, Learning and Evaluation
3 Results and Discussion
3.1 Impact of Single and Hybrid Features in Predictor of Eukaryotic mRNA Subcellular Localization
3.2 Ensemble Learning of Machine Learning Models
3.3 Independent Testing Performance
4 Conclusion
Improved Approach for Mapping Anthropological Facial Features Based on A Convolutional Neural Network
1 Introduction
2 Methodology
2.1 Creating Data for Data Augmentation in Deep Learning
2.2 Anthropological Face Feature Detector Using Convolutional Neural Network
2.3 Visualizing Feature Maps Generated in a CNN
3 Experiments and Results
3.1 Experimental Setup and Experimental Data Set
3.2 Experimental Results
4 Conclusion
Intrusion Detection System Using Semi-supervised Learning with Hybrid Labeling Techniques
1 Introduction
2 Related Work
3 Hybrid Labeling Techniques for Intrusion Detection Systems
3.1 Overview
3.2 Data Preprocessing
3.3 Deep Learning Model
3.4 Hybrid Labeling Techniques
4 Evaluation
4.1 Experimental Design
4.2 Supervised Learning
4.3 Evaluate Clustering Methods
4.4 Performance Comparison: Baseline Versus Proposed Method
5 Conclusion
Monitor Respiration Rate and Sleep Position Using Multi-task Learning
1 Introduction
2 Methodology
2.1 Multi-task Learning
2.2 Data Collection
2.3 Data Augmentation
2.4 Modeling
2.5 Loss Function
3 Experiments
3.1 Dataset
3.2 Experimental Setup
4 Results
5 Conclusion
Predicting Drug-Disease Associations Based on Integrated Similarities and Weighted Bi-level Network
1 Introduction
2 Materials and Method
2.1 Materials
2.2 Method
3 Experimental Results
3.1 Performance Evaluation
3.2 Ablation Study
3.3 Comparison with other Methods
3.4 Case Studies
4 Conclusion and Discussions
A Real-time Crowd Density Level Detection System
1 Introduction
2 Related works
3 Architecture and Components
4 Implementation and Experimental Results
5 Conclusion and Future Work
An Architecture for More Fine-Grained Hidden Representation in Named Entity Recognition for Biomedical Texts
1 Introduction
2 Related Work
3 Bio Named Entity Recognition
3.1 Problem Formulation
3.2 The Proposed Model
4 Settings and Evaluation Metrics
5 Results and Discussion
5.1 F-Score Comparison
5.2 Performance with Different PLMs
5.3 The Performance with Epochs
6 Conclusion
Application of Deep Learning Methods for Forest Fire Intelligent Image Processing
1 Introduction
2 Methodology
2.1 Preparing the Convolutional Neural Network
2.2 Preparation of Initial Images and Creation of Noisy
2.3 Creating an Output Image
3 Result
4 Conclusion
Choosing Data Points to Label for Semi-supervised Learning Based on Neighborhood
1 Introduction
2 The structure of SS-FMM
2.1 Fuzzy min max hyperbox
2.2 Function belonging to fuzzy hyperbox
2.3 The architecture of the fuzzy min max neural network
3 The proposed method
4 Experimental results
4.1 Data description and Evaluation method
4.2 Evaluation results
5 Conclusion
Classification of Fermentation Levels of Cacao Beans (Theobroma cacao L.) Using Sensing Technology and Neural Networks
1 Introduction
2 Materials and Methods
2.1 Data Used in the Study
2.2 ESP32 Microcontroller
2.3 Gas Sensors
2.4 Cacao Fermentation
3 Results and Discussion
3.1 Data Pre-processing
3.2 Data Modeling
3.3 TabNet Architecture
3.4 Model Evaluation
3.5 Data Modeling using Artificial Neural Network (ANN)
3.6 Modeling Using Deep Neural Network (DNN)
3.7 Modeling Using TabNet
4 Web Application
5 Conclusion and future works
DCDynUnet: Deep Supervision Attention Context for Brain Segmentation
1 Introduction
2 Proposed Method
3 Experiment
3.1 Experiments Setup
3.2 Result
4 Conclusion
Enhancing Wildfire Detection Using Semi-supervised Fuzzy Clustering on Satellite Imagery
1 Introduction
2 Clustering Techniques
2.1 Fuzzy C-Means (FCM) Method
2.2 Semi-supervised Fuzzy C-Means (SSFCM) Method
2.3 Fuzzy Clustering on Advance Fuzzy Set
2.4 Picture Fuzzy Clustering (FC-PFS) Method
2.5 The Flowchart of the Algorithm
3 Application to Wildfire Detection from Satellite Images
3.1 Environmental Setup
3.2 Environmental Results
Evaluating the Performance of Some Deep Learning Model for the Problem of Emotion Recognition Based on EEG Signal
1 Introduction
2 Data Preparation
3 Feature Extraction
3.1 FFT Feature Extraction
3.2 Welch Feature Extraction
4 Network Architecture Selection
5 Some Experimental Results
6 Conclusion
Feature Reduction for Interpretability of Neuro-Fuzzy Classifier
1 Introduction
2 Neuro-Fuzzy Classifier
3 Feature Reduction by Recursive Feature Elimination and Causality Analysis
4 Experiment results
5 Conclusion
Improved Accuracy of Path System on Creating Intelligence Base
1 Introduction
2 Inertial Navigation System
2.1 Inertial Navigation Algorithm
2.2 INS error model
3 Inertial Navigation System
3.1 Integrated INS/GNSS System Based on Kalman Filter
3.2 Inertial Navigation System using AI
4 Simulation Results
5 Conclusion
The Vehicle Routing Problem with Drones for Fresh Agricultural Products
1 Introduction
2 Materials and Methods
2.1 Vehicle Routing Problem with Drones for Agricultural Products
2.2 Total Quality Deterioration Value
2.3 Mathematical Model
2.4 Large Neighborhood Search Algorithm for VRPD-AP
3 Results and Discussion
4 Conclusion
ViT-SigNet: Combining Deep CNN and Vision Transformer for Enhanced Signature Verification
1 Introduction
2 Related work
3 Data and Methods
3.1 Data
3.2 Methods
4 Results and Discussion
4.1 Strategy 1: Signature Classification
4.2 Strategy 2: Signature verification
5 Conclusions
Mathematical Foundations in Informatics
Combining Local Search and Multi-objective Optimization Algorithm in Signalized Intersection Optimization
1 Introduction
2 Traffic Light Signaling Optimization using MOEAs
3 Methodology
3.1 Neighbour Set Discovery Strategy
3.2 Local Search Algorithm
4 Performance Evaluation
4.1 Experimental Scenario
4.2 Experimental Results
5 Conclusions
Comparative Evaluation of PRR and PODA Methods for Model Order Reduction in Electrical Circuits
1 Introduction
2 Positive-Real Truncated Balanced Realization Algorithm
3 Proper Orthogonal Decomposition Algorithm
4 Comparative Analysis of PRR and PODA Methods for Model Order Reduction
5 Conclusion
Data-Driven Narratives: Unleashing the Potential of R for Journalistic Storytelling
1 Introduction
2 Literature Review
2.1 Data Journalism: Review Existing Literature on Data Journalism and Data-Driven Narratives
2.2 R in Journalism: Discuss Previous Studies That Have Used R in Journalistic Contexts
3 The Potential of R for Data-Driven Journalism
3.1 R and Data Analysis: Discuss How R Can Be Used for Data Cleaning, Analysis, and Visualization, Which Are Crucial for Data-Driven Storytelling
3.2 Case Study
4 Conclusion
Dynamic Analysis of Capsubot Model in Liquid Environment by Numerical Method
1 Introduction
2 Modelling of Capsule Robot in the Liquid Environment
2.1 Physical and Mathematical Models
2.2 Determine Numerical Solutions and Dynamic Analysis
3 Results and Discussion
3.1 Effect of Excitation Signal Form and Frequency
3.2 Effect of the Coefficient of Friction
3.3 Effect of Fluid Viscous Resistance
3.4 Effect of Capsubot Size (R)
3.5 Effect of the Impact Gap (G) and Current (I)
4 Conclusions
Genetic Programming–A Preliminary Study of Knowledge Transfer in Mutation
1 Introduction
2 Background
2.1 Transfer Learning
2.2 Genetic Programming (GP)
3 Our Methods
3.1 FullTree.CM1
3.2 FullTree.CM2
4 Experimental Settings
4.1 Dynamic Problems
4.2 GP Setting
5 Experimental Results and Discussion
5.1 Training Error Analysis
5.2 Generalization Ability Analysis
5.3 Computation Complexity Analysis
6 Conclusions and Future Works
Improvement of Spectral Clustering Method in Social Network Community Detection
1 Introduction
2 Recommended Algorithms
2.1 Distance Between Objects
2.2 Reduce the Graph
2.3 Proposing a Community Detection Algorithm Based on Spectral Clustering
3 Experimental Results
4 Conclusion
Probable Characteristics of Multi-channel Queuing Systems with “Impatient” and “Patient” Claims
1 Introduction
1.1 The Queuing Systems with “Patient” and “Impatient” Claims
1.2 The Characteristic Parameters of a Multi-channel Queuing System
2 Average Number of Claims with Impatient Queues
2.1 General Formula for Calculation
2.2 The Kummer Confluent Hypergeometric Function
3 Probability of System State
4 Simulation
5 Conclusion
Processing Overlapping Communities Using the Gradient Descent Optimization Method
1 Introduction
2 Related Works
3 Recommended Algorithms
3.1 Problem Analysis
3.2 Algorithm CEF (Comput Exponent for Facter)
3.3 Calculate the Derivative by the Difference Method
3.4 Probability for the Expression to Maximize
3.5 Approach How to Process Overlapping Communities
4 Experimental Results
5 Conclusion
Scheduling Production of High Economic Values Crops in Plant Factory
1 Introduction
2 Preliminaries
2.1 Problem Definition
2.2 MILP Model Formulation
3 Proposed Method
3.1 Optimize Scheduling with Dynamic Planning
3.2 Shuffled Racks Plant Scheduling
4 Experiments and Results
5 Conclusion
Sixth Order Numerical Method for Solving Second Order Nonlinear Boundary Value Problem
1 Introduction
2 Construction of Sixth Order Numerical Method
3 Numerical Examples
4 Conclusion
Solving the Dirichlet Problem for Fully Sixth Order Nonlinear Differential Equation
1 Introduction
2 The Existence and Uniqueness of a Solution
3 Solution Method
4 Some Examples
5 Conclusion
The Minmax Regret Longest Path of a Tree with Interval Edge Lengths
1 Introduction
2 Preliminaries and Problem Formulation
2.1 Longest Path on a Tree
2.2 Minmax Regret Longest Path on a Tree
3 A Combinatorial Algorithm
4 Conclusions
Author Index