The 12th Conference on Information Technology and Its Applications

Name: The 12th Conference on Information Technology and Its Applications | Proceedings of the International Conference CITA 2023
Brand: Springer
Price: 171.19 EUR
Availability: OnlineOnly

Proceedings of the International Conference CITA 2023

Ngoc Thanh Nguyen Hoa Le-Minh Cong-Phap Huynh Quang-Vu Nguyen(Herausgeber*in)

Springer (Verlag)

1. Auflage

Erschienen am 25. Juli 2023

XVI, 406 Seiten

E-Book

PDF mit Wasserzeichen-DRM

Systemvoraussetzungen

978-3-031-36886-8 (ISBN)

171,19 €inkl. 7% MwSt.

Systemvoraussetzungen

für PDF mit Wasserzeichen-DRM

E-Book Einzellizenz

Als Download verfügbar

Beschreibung

Weitere Details

Weitere Ausgaben

Inhalt

Intro
Preface
Conference Organization
Contents
Data Science and Artificial Intelligence
A New ConvMixer-Based Approach for Diagnosis of Fault Bearing Using Signal Spectrum
1 Introduction
2 Related Work
2.1 Conv-Mixer Neural Networks
2.2 Siamese Neural Networks
3 Methodology
3.1 General Architecture for Failure Diagnosis
3.2 The Proposed Siamese-Based Conv-Mixer Model
3.3 Diagnosis Network
4 Experiment
4.1 Datasets
4.2 Training
4.3 Results
4.4 Comparison
5 Conclusion
References
Differentially-Private Distributed Machine Learning with Partial Worker Attendance: A Flexible and Efficient Approach
1 Introduction
1.1 Background
1.2 Our Contributions
1.3 Paper Organization
2 Preliminaries
3 Our Proposed Algorithm
4 Experiments
5 Conclusion
References
Building Legal Knowledge Map Repository with NLP Toolkits
1 Introduction
2 Legal Knowledge Maps
2.1 Modeling
2.2 Hierarchy of Legislation
2.3 Legal Ontology Design
2.4 Legal Knowledge Map Construction
3 Implementation
3.1 Materials
3.2 Vietnamese NLP Toolkits
3.3 Building VLegalKMaps as Linked Data
4 Validations
4.1 Experiment Setup
4.2 Case Study
4.3 Statistics and Discussions
5 Conclusions and Future Works
References
Classification of Ransomware Families Based on Hashing Techniques
1 Introduction
2 Overview of Hashing Techniques in Malware Analysis
3 The Proposed Method
3.1 The Combined Analysis Method of Imphash, File Level Ssdeep Hashing, and Section Level Ssdeep Hashing
3.2 Preparing the Database
3.3 Predictive Model
3.4 Evaluation Criteria
4 Evaluations and Results
4.1 Experiment with Test Set Containing only Ransomware
4.2 Experiment with Test Set Containing both Malicious and Benign Samples
4.3 Advantages and Limitations of the Proposed Method
5 Conclusions
References
Towards a New Multi-tasking Learning Approach for Human Fall Detection
1 Introduction
2 Related Work
2.1 Simulated Falls
2.2 Real Falls
2.3 Multi-task Learning
2.4 Summary
3 Multi-task Deep Neural Network for Fall Detection
3.1 Multiple Classifiers
3.2 Temporal Convolutional Network as a Feature Extractor
3.3 Re-sampling for Class and Task Balance
3.4 Data Augmentation
4 Experiments
4.1 Datasets
4.2 Experiment Settings
4.3 Evaluation and Discussion
5 Conclusion and Future Work
References
A Comparative Study of Wrapper Feature Selection Techniques in Software Fault Prediction
1 Introduction
2 Related Work
3 Feature Selection
3.1 Software Metrics
3.2 Genetic Algorithm
3.3 Particle Swarm Optimization
3.4 Whale Optimization Algorithm
3.5 Cuckoo Search
3.6 Mayfly Algorithm
3.7 Binary Bat Algorithm
3.8 Feature Selection Details
4 Methodology
4.1 Proposed Approach
4.2 VanillaGAN for Handling Imbalanced Data
4.3 Dataset
4.4 Evaluation Measurement
5 Experimental Result
6 Conclusion
References
Incorporating Natural Language-Based and Sequence-Based Features to Predict Protein Sumoylation Sites
1 Introduction
2 Methodology
2.1 Data Preparation and Pre-processing
2.2 Feature Extraction and Encoding
2.3 Model Construction, Learning and Evaluation
3 Results and Discussion
3.1 Impact of Amino Acid Composition and Single Features
3.2 Impact of Hybrid Features
3.3 RSXSUMO Model Construction
3.4 Comparison with Other Predictors
4 Conclusion
References
A Model for Alliance Partner Selection Based on GM (1, 1) and DEA Frameworks - Case of Vietnamese Coffee Industry
1 Introduction
2 Related Works
2.1 Strategic Alliance
2.2 Grey Forecasting Model
2.3 Data Envelopment Analysis
3 Proposal Research
4 Case Study
4.1 DMU Collection
4.2 Inputs and Outputs Selection
4.3 Forecast the Performance of All DMU by GM (1, 1) Model.
4.4 Analysis Performance Before Alliance
4.5 Analysis the Performance After Alliance
5 Conclusions
References
Car Detector Based on YOLOv5 for Parking Management
1 Introduction
2 Related Works
2.1 Traditional Machine Learning-Based Methods
2.2 CNN-Based Methods
3 Methodology
3.1 Proposed Network Architecture
3.2 Loss Function
4 Experiments
4.1 Datasets
4.2 Experimental Setup
4.3 Experimental Results
4.4 Ablation Study
5 Conclusion
References
Deep Learning-Based Approach for Automatic Detection of Malaria in Peripheral Blood Smear Images
1 Introduction
2 Related Works
3 Experiments
3.1 Data Collection
3.2 Exploratory Data Analysis
3.3 Two-Stage Approach
4 Results and Discussions
4.1 Evaluation Metrics
4.2 Results
5 Conclusion
References
An Improved Transfer Learning-Based Approach for Detecting Abnormal Cervical Cells from Pap Smear Microscopic Images
1 Introduction
2 Abnormal Cervical Cells and Preprocessing Data
2.1 Abnormal Cervical Cells
2.2 Exploratory Data Analysis and Preprocessing
3 Transfer Learning and Proposed Approach
3.1 ResNet50v2
3.2 EfficientNetv2L
3.3 Proposed Approach Based on Transfer Learning
4 Experimental Results
5 Conclusion
References
Digital Economy
Emotional Intelligence and Social Media Site Experiences' Effects on College Choice Behavior: The Mediating Role of Brand Attitude
1 Introduction
2 Theoretical Background and Hypotheses
2.1 Website Experiences and Emotional intelligence
2.2 The Attitude Toward Website Model - AWS Model
2.3 The Research Model and Hypotheses
3 Research Method
4 Research Result
4.1 Descriptive Data Statistics
4.2 Reliability Test Results
4.3 Exploratory Factor Analysis (EFA) Results
4.4 Research Model Testing
5 Discussion
6 Conclusion
References
Image and Natural Language Processing
A Multi Context Decoder-based Network with Applications for Polyp Segmentation in Colonoscopy Images
1 Introduction
2 Related Work
2.1 Vision Transformer
2.2 Fusion On Multi Resolution Feature Map
3 Methodology
3.1 Overview
3.2 Generate Context Feature Map (GCF)
3.3 Decoder Block
4 Experiments
4.1 Dataset
4.2 Evaluation Metrics
4.3 Implementation Details
4.4 Representative Results
4.5 Comparative Results
5 Conclusion
References
AMG-Mixer: A Multi-Axis Attention MLP-Mixer Architecture for Biomedical Image Segmentation
1 Introduction
2 Related Work
3 Proposed Network Architecture
3.1 AxialMBConv Token Mix and Mixer Building Block
3.2 Multi-scale Multi-axis MLP Gated (MS-MAMG)
3.3 Decoder Unit
4 Experiments
4.1 Datasets
4.2 Training Strategy
4.3 Evaluation Metrics
4.4 Representative Results
4.5 Comparative Results
5 Conclusion
References
Investigating YOLO Models for Rice Seed Classification
1 Introduction
2 Methodology
2.1 YOLOv5
2.2 YOLOv6
2.3 YOLOv7
3 Experiments and Results
3.1 Data Description
3.2 Performance Indicator
3.3 Result and Discussion
4 Conclusion
References
Extending OCR Model for Font and Style Classification
1 Introduction
2 Related Works
3 Methods
3.1 Problem Formulation
3.2 Overview
3.3 Encoder
3.4 Decoder
3.5 Image-wise Font Clsasification
3.6 Style Classification
3.7 Loss Function
4 Experiments
4.1 Experiment Setting
4.2 Benchmarks
4.3 Experiment Result and Discussion
5 Conclusion
References
STG-SimVP: Spatiotemporal GAN-Based SimVP for Video Prediction
1 Introduction
2 Related Work
2.1 Video Frame Synthesis
2.2 Generative Adversarial Networks - GAN
2.3 SimVP
3 Proposed Methods
3.1 STG-SimVP
3.2 Dual Discriminators
3.3 Objective Function
4 Experiments
4.1 Datasets
4.2 Training Details
4.3 Comparisons With State-of-the-Art Methods
5 Ablation Study
6 Limitations
7 Conclusion
References
Tritention U-Net: A Modified U-Net Architecture for Lung Tumor Segmentation
1 Introduction
2 Tritention U-Net Architechture (TU-Net)
2.1 Architechture Overview
2.2 Backbone U-Net Architecture
2.3 Tritention Gate
3 Experimental and Results
3.1 Dataset
3.2 Experimental Setup
3.3 Results
4 Conclusion
References
Multi-modal with Multiple Image Filters for Facial Emotion Recognition
1 Introduction
2 Multiple Filter Levels for FER
2.1 Multiple Model
2.2 Dropping Pixels - Processor
2.3 Blurring Image - Processor
3 Experimental and Results
3.1 Dataset
3.2 Experimental Setup
3.3 Results
4 Conclusion
References
Few-Shots Novel Space-Time View Synthesis from Consecutive Photos
1 Introduction
2 Related Work
3 Proposed Methods
3.1 Background: Neural Scene Flow Fields (NSFF)
3.2 NSFF with Encoder
4 Experiments
4.1 Implement Details
4.2 Evaluations
5 Limitations
6 Conclusion
References
Information Technology Skills Extractor for Job Descriptions in vku-ITSkills Dataset Using Natural Language Processing
1 Introduction
2 Preliminary
3 Construct IT Skills Dictionary and vku-ITSkills Dataset
4 The Proposed NLP Pipeline for IT Skills Extractor
4.1 Tokenizer
4.2 Transformers Based Token Embedding
4.3 Part of Speech (POS) Tagging, Noun Phrases and Combination Rules
4.4 Named Entity Recognition
4.5 Training NER Model and Fine-Tuning RoBERTa
4.6 Comma Rule
5 Experimental Results
6 Conclusions
References
Comprehensive Study on Semantic Segmentation of Ovarian Tumors from Ultrasound Images
1 Introduction
2 Related Works
3 Segmentation of Ovarian Tumor Ultrasound Image by CNNs
3.1 Background
3.2 Segmentation of Ovarian Tumor Ultrasound Images
4 Experimental Results
4.1 Data Collection
4.2 Evaluation Metrics
4.3 Results and Discussion
5 Conclusion and Future Works
References
VR VanMieu: The Interactively Virtual Temple of Literature
1 Introduction
2 Background and Related Works
2.1 Virtual Reality
2.2 Unity
3 A Process of Building VR VanMieu Application
4 Architecture and Campus of the Temple of Literature
5 Interactive Design
6 Experiment and Evaluation
6.1 Experiment
6.2 Practical Experience
7 Conclusion
References
Neural Sequence Labeling Based Sentence Segmentation for Myanmar Language
1 Introduction
2 Related Works
3 Corpus Development
3.1 Corpus Information
3.2 Word Segmentation
3.3 Corpus Annotation
4 Methodology
4.1 Character Sequence Layer
4.2 Word Sequence Layer
4.3 Inference Layer
5 Experimental Setup
5.1 Data Preparation
5.2 Hyperparameters
5.3 Evaluation
6 Results and Discussion
7 Error Analysis
8 Conclusion
References
A Compact Version of EfficientNet
1 Introduction
2 Related Work
2.1 Efficient Architecture for CNNs
2.2 Mobile Inverted Bottleneck Convolution Block
3 Network Architecture
3.1 Architecture of EfficientNet-B0-lite
3.2 Architecture of Proposed Compact Version of EfficientNet-B0-compact
4 Experiments on ImageNet Dataset
4.1 Dataset
4.2 Implementation Details
4.3 Performance Evaluation
4.4 Ablation Study for Compact Architecture
5 Conclusion
References
Using Deep Learning for Obscene Language Detection in Vietnamese Social Media
1 Introduction
2 Related Works
3 Proposed Approach
3.1 Pre-processing
3.2 Word Embeddings
3.3 Deep Learning (DL)
4 Experiments and Evaluation
4.1 Creating the Dataset
4.2 Experiment Setup
4.3 Experimental Results
5 Conclusions
References
Network and Communications
A New Approach for Enhancing MVDR Beamformer's Performance
1 Introduction
2 MVDR Beamformer
3 The Proposed Method
4 Experiments
5 Conclusion
References
A Spectral Mask - Based on Method for Applying into Generalized Sidelobe Canceller Beamformer
1 Introduction
2 Generalized Sidelobe Canceller Beamformer
3 The Suggested Spectral Mask
4 Experiments
5 Conclusion
References
An Integrated Model of Placement Optimization and Redundancy Elimination in RFID Network Planning
1 Introduction
2 Related Works
3 Integrated Model of Placement Optimization and Redundancy Elimination
3.1 Description of RFID Network Planning
3.2 Formulation
4 Simulation and Analysis
4.1 Determining the Optimal Cell Size
4.2 Reducing the Number of Used Readers
5 Conclusion
References
Software Engineering and Information System
Conjunctive Query Based Constraint Solving for Feature Model Configuration
1 Introduction
2 Example Feature Model
3 Conjunctive Query Based Configuration
4 New Approaches to Conflict Resolution
5 Performance Analysis
6 Threats to Validity and Open Issues
7 Conclusions and Future Work
References
ESpin: Analyzing Event-Driven Systems in Model Checking
1 Introduction
2 The DSL for Event-Driven Systems
2.1 Specifying Event-Driven Systems
2.2 The Translation Approach
3 Model Checking Event-Driven Systems
3.1 Exploring the State Space
3.2 The Properties
3.3 Model Checking Algorithm
4 Experiments
4.1 Implementation
4.2 The Heater System
4.3 A Vending Machine
4.4 Discussion
5 Related Works
6 Conclusion
References
Blockchain Solution for Electronic Health Records Using Hyperledger Fabric
1 Introduction
2 Related Works
3 Proposed Solution
3.1 Hyperledger Fabric
3.2 System Architecture
3.3 Use Case Diagram
4 Implementation
4.1 Fabric SDK
4.2 Smart Contracts
4.3 Homomorphic Encryption
4.4 Zero-Knowledge Proof
4.5 Results
5 Conclusion
References
Test Criteria for Context-Aware Mobile Applications
1 Introduction
2 Background
3 Case Study
4 Test Model for Context-Aware Mobile Apps
4.1 Modeling the Environment of the Context-Aware Mobile Application
4.2 Modeling Middleware and Services
4.3 Combining Two Models to Verify the Interaction Between the Environment and the Application
5 Test Criteria for Context-Aware Mobile Apps
5.1 Test Strategy Based on Bigraphical Pattern-Flow Testing
5.2 Test Strategy Based on Boundary Values Testing
5.3 A Novel Coverage Criterion Based on Pattern-Flow and Boundary Values
6 Experiment
7 Conclusion and Future Work
References
Author Index

Systemvoraussetzungen

Als PDF speichern Als Link merken