Recent Advances in Information and Communication Technology 2021: Proceedings of the 17th International Conference on Computing and Information ... 2021) (Lecture Notes in Networks and Systems)

This book contains the proceedings of the 17th International Conference on Computing and Information Technology (IC2IT2021) that was held during May 13–14, 2021, in Bangkok, Thailand. The research contributions include machine learning, natural language processing, image processing, intelligent systems and algorithms, as well as network and cloud computing. These lead to the major research directions for emerging information technology and innovation, reflecting digital disruption in the world. Preface Organization Program Committee Organizing Partners Contents DB2SM: An Efficient Resampling Technique for Imbalanced Data Classification 1 Introduction 2 Related Works 3 DB2SM Methodology 4 Experiment and Result 4.1 Datasets 4.2 Experimental Design and Evaluation 4.3 Results 5 Conclusion and Discussion 6 Future Work References Intelligent Fruit Recognition System Using Deep Learning 1 Introduction 2 Related Works 3 Design and Implementation 3.1 Fresh Fruit Recognition 3.2 Improved ResNet50 Fruit Recognition Model 4 Performance Evaluation 5 Conclusion References Design and Development of a Dynamic and Efficient PII Data Loss Prevention System 1 Introduction 2 Related Work 3 Our Proposed System 4 Evaluation and Implementation 4.1 System Functionality Comparison 4.2 System Implementation 5 Conclusion and Future Work References Herb Suggestion Model for Treat Disease by Symptoms Using Decision Tree Techniques 1 Introduction 2 Backgrounds and Related Works 2.1 Herb 2.2 Data Mining 2.3 Decision Tree 2.4 J48 Algorithm 2.5 K-Fold Cross Validation 2.6 Evaluation Model 2.7 Related Works 3 Research Method 3.1 Data Collection and Preparation 3.2 Model Construction 3.3 Evaluation Decision Tree Model 4 Research Results 5 Conclusions 6 Suggestion and Future Works References Enhancing Forex Rates Prediction with Machine Learning on EUR to USD with Moving Average Methods and Financial Factors 1 Introduction 2 Literature Survey 3 Background 3.1 Financial Factors 3.2 Simple Moving Average 3.3 Weighted Moving Average 3.4 Exponential Moving Average 4 Data Description 5 Algorithms Used 5.1 Linear Regression Model 5.2 MultiLayer Perceptron 5.3 Recurrent Neural Networks 6 Research Methodology and Design 6.1 Machine Learning Libraries 6.2 Design and Experiment 7 Result 8 Conclusion References A Recommendation Model Based on User Behaviors on Commercial Websites Using TF-IDF, KMeans, and Apriori Algorithms 1 Introduction 2 Literature Review 3 Methodology 4 Experimental Results 5 Conclusion and Suggestions References On the Utility of Combining Topic Models and Recurrent Neural Networks 1 Introduction 2 Preliminaries 2.1 Recurrent Neural Networks 2.2 Topic Models 3 Related Work 3.1 Deep Learning Sequence Generation 3.2 Topic and Document Modeling RNNs 4 Proposed Approach 4.1 RNNs with Topic Models 5 Evaluation 5.1 Perplexity 5.2 Word Prediction 6 Discussion 7 Conclusion References Detection of Depression-Positive Thai Facebook Users Using Posts and Their Usage Behavior 1 Background 2 Method 2.1 Data Preparation 2.2 Depression Prediction 2.3 Key Feature Detection 3 Experiments 3.1 Participants and Experimental Data 3.2 Evaluation Results of Depression Detection 3.3 Key Features Indicating Depression from Models 4 Conclusions and Future Works References Abusive Language and Hate Speech Detection for Indonesian-Local Language in Social Media Text 1 Introduction 2 Method 2.1 Annotation 2.2 Pre-processing 2.3 Feature Extraction 2.4 Classifiers 3 Conclusion References English-Vietnamese Machine Translation Using Deep Learning 1 Introduction 2 Literature Reviews 2.1 Machine Translator 2.2 Deep Learning 2.3 Recurrent Neural Network (RNN) 2.4 Long Short-Term Memory (LSTM) 2.5 Gated Recurrent Unit (GRU) 2.6 Attention Mechanism 2.7 Pre-training of Deep Bidirectional Transformers (BERT) 3 Research Methodology 3.1 Data Preparation 3.2 Model Settings 3.3 Model Training and Evaluation 4 Experimental Results 5 Conclusion References Natural Language Processing with ``More Than Words – BERT'' 1 Introduction 2 Related Work 2.1 Question Classification 2.2 Bidirectional Encoder Representations from Transformers 2.3 Natural Language Processing (NLP) 3 Research Methodology 3.1 Data 3.2 Pre-processing 3.3 Classification 4 Experimental Results 5 Conclusion and Future Work References Automatically Retrieving of Software Specification Requirements Related to Each Actor 1 Introduction 2 Literature Review 2.1 Related Work 2.2 Understanding of Software Requirement Sentence 3 Dataset 4 Research Method 4.1 Searching for the System’s Users (or Actors) 4.2 Using ‘Actors’ for Searching Their Relevant Software Requirement Sentences 4.3 Retrieving Relevant Software Requirement Sentences of Each Actor 4.4 Extracting of ‘Actors’ and Their ‘Actions’ 5 The Experimental Results 5.1 The Evaluation of Extracting All Actors from the Software Requirement Collection 5.2 The Results of Retrieving Relevant Software Requirements of Each Actor 6 Conclusion References Reservoir Inflow Time Series Forecasting Using Regression Model with Climate Indices 1 Introduction 2 Machine Learning Techniques 2.1 Support Vector Regression (SVR) 2.2 Random Forests (RF) 3 Method 3.1 Research Framework 3.2 Study Area 3.3 Data Used 3.4 Experimental Setup 3.5 Performance Evaluation 4 Results and Discussion 5 Conclusions References ADGAS: An Advanced Data Generation for Anomalous Signals 1 Introduction 2 Related Works 2.1 Typical Data Augmentation 2.2 DAGAT Framework 3 Proposed Method 3.1 Time Window Slicing 3.2 Time Series Data Augmentation 3.3 Upsampling and Downsampling 3.4 Fast Fourier Transform and Its Inverse 3.5 Time Series Decomposition and Its Recomposition 3.6 Signal Fragment Assembler 3.7 Quality Classifier 3.8 Variational Autoencoder (VAE) 3.9 Data Picker 4 Experiments and Results 4.1 Dataset Explanation 4.2 Experimental Setup 4.3 Experimental Results 5 Conclusion References Object Detection with Convolution Neural Networks and Custom-SmallerVGGNet 1 Introduction 2 Related Works 2.1 Compare the Process Between Traditional and Modern CNN Methodologies 2.2 Method 1: The Traditional Object Detection Pipeline 2.3 Method 2: Based Network of an Object Detection Framework 3 Proposed Framework 4 Conclusion References HFMD Skin Rash Detection Using Convolutional Neural Networks 1 Introduction 2 Related Work 3 Material and Architectures 3.1 Data Collection 3.2 Preprocessing 3.3 General Architecture of Convolutional Neural Networks 3.4 Classification 3.5 Metrics 3.6 Results 3.7 Evaluation of Images that Were Classified Incorrectly 4 Conclusions 5 Future Work References Comparative Study Considering Garbage Classification Using In-Depth Learning Techniques 1 Introduction 2 Experimental Setup and Evaluation Schemes 2.1 Garbage Image Data Collections 2.2 The In-Depth Transfer Learning Parameters 2.3 Performance Metrics 3 Garbage Classification Using In-Depth Learning Techniques 3.1 The Classification Model Based on Deep Learning Algorithm 4 Experimental Results and Discussions 4.1 Numerical Results 4.2 Discussions 5 Conclusions 5.1 Future Works References A Sequenced Edge Grid Image Technique for Sign Language Recognition 1 Introduction 2 Related Work 2.1 Data Preprocessing/Sequence Images 2.2 Edge Detection 2.3 CNN 3 The Proposed SEGI 4 Performance Evaluation 4.1 SEGI Dataset vs Sequenced Grid Images 4.2 Optimal SEGI for Thai Sign Language Recognition 5 Conclusion References A Unified Framework for Saliency Segmentation 1 Introduction 2 Problem Statement 3 Proposed Method 3.1 Saliency Feature Extraction 3.2 Saliency Map Selection 3.3 Iterative Saliency Segmentation 4 Experiment 4.1 Experimental Setup 4.2 Results and Discussion 5 Conclusion References Intelligent Interface for Blind Users to Perform Collaborative Activities 1 Introduction 2 Literature Review 3 An Intelligent Interface for Blinds (II4B) 3.1 Web Based Document Access and Reporting 3.2 Speech Recognizer and Synthesis 3.3 Intent Extraction 3.4 Event Manager 3.5 Knowledge Base 4 Results and Discussion 5 Conclusion and Future Work References Graph NLU Enabled Question Answering System 1 Introduction 2 Related Works 3 Dataset 4 Methodology 5 Generating Triples for Graph Modelling 6 Extracting Entities and Classes 7 Graph Algorithm 7.1 Entity Matching with Triples 7.2 Creation of Sub-graph 7.3 Shortest Path Traversal 8 Results 9 Conclusion References Integrating Graph-Based Document Recommendation in Digital Libraries of Theses Collection 1 Introduction 2 Related Works 3 Proposed Framework 3.1 Collection Preparation and Preprocessing 3.2 Document Indexing Graph 3.3 Similar Document Recommendation 4 Evaluation 5 Conclusion References Modeling of Aluminum Profile Extrusion Yield: Online Billet Cutting 1 Introduction 2 Literature Review 3 Research Methodology 3.1 Problem Formulation 3.2 Optimization Model for Multiple Extrusions per Billet 3.3 Optimization Model for Multiple Billets per Extrusion 3.4 Solution Procedure 4 Case Study 5 Conclusion References Enhanced Hydrozoan Algorithm with Local Searches for Job-Shop Scheduling Problems 1 Introduction 2 Theories and Background 2.1 Job Shop Scheduling Problems 2.2 Hydrozoan Algorithm (HA) 3 The Proposed Algorithm 3.1 Chromosome Representation 3.2 Objective Function 3.3 Local Search Strategy 3.4 Crossover Operation 3.5 Mutation Operation 4 Experimental Results 5 Conclusion References Model Predictive Control of a Fed-Batch Enzymatic Hydrolysis Reactor for Processing Lignocellulosic Feedstock 1 Introduction 2 Nomenclature 3 Descriptions of Enzymatic Hydrolysis Process 4 Kinetic Modelling of Enzymatic Hydrolysis Process 4.1 Hydrolysis Rate Equation 4.2 Enzyme Adsorption 5 Model Predictive Control of Enzymatic Hydrolysis Process 6 Results and Discussion 7 Conclusion References Split-Match-Merge Method with Multi-matcher Algorithm to Handle Data Interoperability Problems in Small Farm Management Information System 1 Introduction 2 Previous Works and Problem Statement 3 Material and Methods 4 Results and Discussion 4.1 Extraction Database and Ontology into a Schema 4.2 Concept Matching 4.3 Split, Match and Merge Method 4.4 Multi-matcher Algorithm Based on Decision Tree 4.5 Evaluation of the Algorithm and Method 5 Conclusion References Intelligent Triage Assistant 1 Introduction 2 Literature Reviews 2.1 Expert Systems 2.2 Chatbots 2.3 Triage Process 2.4 Previous Related Research 3 Current Triage Process 4 System Work Flow 5 Developing a Knowledge Base for the Intelligent Triage Assistant 6 Implementation of Automated Intelligent Triage Assistant 7 Conclusions References Development of Physical and Mental Support System Using Communication Robot for Isolated COVID-19 Patients 1 Introduction 2 Communication Robot Unibo 3 System Configuration 4 Feasibility Verification Method 5 Result 6 Conclusion and Future Works References A Cloud Based Knowledge Sharing System for Traditional Medicines 1 Introduction 2 Literature Survey 3 Cloud Based Knowledge Sharing System Design 4 System Architecture of Developed Cloud Based Knowledge Sharing System 4.1 TM Ontology 4.2 Feature-based Comparison of CK-System4TM and Existing Systems 4.3 Validation of CK-System4TM by Technology Acceptance Model 5 Conclusion References An Analytical Review of Data Access Control Schemes in Mobile Cloud Computing 1 Introduction 2 CP-ABE Background 3 Data Outsourcing Scenario in Mobile Cloud Computing 3.1 Overview 3.2 Outsourcing CP-ABE Encryption/Decryption to a Proxy Server 3.3 Outsourcing CP-ABE Decryption to a Proxy with Symmetric Encryption Combination 4 Comparative Analysis 4.1 Cryptographic Features 4.2 Storage Cost 4.3 Communication Cost 4.4 Computation Cost 5 Discussion on Possible Research Direction 6 Conclusion References Integration of MANET with In-Band SDN Controller 1 Introduction 2 Literature Reviews 3 Proposed Work 3.1 System Components 3.2 Proof of Work 4 Simulation and Analysis 5 Conclusion References Author Index