Recent Advances in Information and Communication Technology 2020

Name: Recent Advances in Information and Communication Technology 2020 | Proceedings of the 16th International Conference on Computing and Information Technology (IC2IT 2020)
Brand: Springer
Price: 96.29 EUR
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Proceedings of the 16th International Conference on Computing and Information Technology (IC2IT 2020)

Phayung Meesad Sunantha Sodsee(Herausgeber*in)

Springer (Verlag)

1. Auflage

Erschienen am 21. März 2020

X, 210 Seiten

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Beschreibung

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Inhalt

Intro
Preface
Organization
Program Committee
Organizing Partners
In Cooperation with
Contents
An Empirical Study Towards the Intention to Use QR Code Payment in Champasak Province, Lao People's Democratic Republic
Abstract
1 Introduction
2 Related Literature
2.1 QR Code Payment System
2.2 Technology Acceptance Model
3 Research Methodology
3.1 Research Model
3.2 Data Collection
4 Results
4.1 Validity and Reliability Analysis
4.2 Demographic Variables
4.3 Correlation Analysis
4.4 Multicollinearity Analysis
4.5 Results from Multiple Linear Regression
5 Conclusion and Discussion
Acknowledgment
References
Identifying of Decision Components in Thai Civil Case Decision by Text Classification Technique
1 Background
2 Related Work
3 Dataset
4 The Proposed Method
4.1 Civil Case Decision Document Pre-processing
4.2 Classifier Modeling of Each Civil Case Decision Component
5 The Experimental Results
6 Conclusion
References
Wearable Computing for Dementia Patients
Abstract
1 Introduction
1.1 Dementia
2 Patient Activities Monitoring
3 Our Approach
3.1 Wearable Computing
3.2 Android Application for Data Collection
3.3 Data Preprocessing
3.4 Algorithms
4 Results
5 Conclusion and Future Works
Acknowledgments
References
Supplement Products Data Extraction and Classification Using Web Mining
Abstract
1 Introduction
2 Related Work
2.1 Web Data Extraction
2.2 Word Segmentation
2.3 Term Frequency - Inverse Document Frequency (TF-IDF)
2.4 Cosine Similarity
3 Methodology
3.1 Extraction Stage
3.2 Classification Stage
4 Experimental and Result
4.1 Data Preparation
4.2 Performance Evaluation
5 Conclusion
Acknowledgment
References
Aquaponics Systems Using Internet of Things
Abstract
1 Introduction
2 Literature Review
3 Methodology
4 Results
5 Conclusion
References
Classification of Generation of Thai Facebook Users Using Deep Learning with Probability of Words
Abstract
1 Introduction
2 Related Works
2.1 Research of Using Words in Each Age Range
2.2 Research of Classification Age of Social Network Users
2.3 Research of Classification Thai Language Text
3 Research Experiments
3.1 Data
3.2 Preprocessing
3.3 Word Embedding
3.4 Probability of Words
3.5 Convolution Neural Network
3.6 Long-Short Term Memory (LSTM)
4 Methodology
5 Experiment Result
6 Conclusion
References
Design of an Intelligent, Safe and Secure Transport Unit for the Physical Internet
Abstract
1 Introduction
2 Overview of the Literature
2.1 IATA Strategy and Regulations
2.2 C-ITS Concepts
3 Design of the iTU
3.1 Physical Structure
3.2 Information Model
3.3 Functional Model
3.4 Safety and Security
4 Discussion
5 Conclusion
References
Feature Selection Method Based on Correlation Tree
Abstract
1 Introduction
2 Operation Principle
2.1 KDDCUP'99 Data Set
2.2 Pearson's Correlation and Covariance
2.3 Correlation Tree Feature Selection
3 Experiments and Analysis
3.1 Generate Correlation Tree and Feature List for KDDCUP'99 Data Set
3.2 Data Set from CC and BFS Feature Selection
3.3 Result and Discussion
4 Conclusion
References
Thai Words Segmentation Using an Unsupervised Learning Technique
Abstract
1 Introduction
1.1 Background
1.2 Literature Review
2 Word Distance Concept
3 Genetic Algorithms for Determining Word Boundary
4 Implementation and Experimentation
5 Causes of Mis-segmentation
6 Improving Accuracy of the Model
7 Summary and Conclusion
References
A Framework for Designing and Evaluating Persuasive Technology in Education
Abstract
1 Introduction
2 Literature Reviews
2.1 Persuasive Technology
2.2 Persuasive Technology in Education
3 Proposed Research Framework
4 Research Methodology
5 Data Analysis and Results
5.1 Users Requirements of Persuasive Technology Elements
5.2 Designing Persuasive Technology Based on Users Requirements
5.3 Evaluating User Performance of Using Persuasive Technology
6 Discussion and Conclusion
6.1 Hypotheses Testing Results
6.2 Discussion
References
Effectiveness of Six Text Classifiers for Predicting SET Stock Price Direction
Abstract
1 Introduction
2 Related Work
2.1 Predictive Data Mining Algorithms
2.2 Performance Evaluation
3 Methodology
3.1 Assumptions
3.2 Text Processing
4 Result and Evaluation
4.1 Effectiveness of Each Classifier
4.2 Comparing the Six Classifiers
5 Conclusion
Acknowledgement
References
Biomarker Identification in Colorectal Cancer Using Subnetwork Analysis with Feature Selection
Abstract
1 Introduction
2 Materials and Methods
2.1 Materials
2.2 Methodology
3 Results and Discussion
4 Conclusion
Acknowledgements
References
Smartphone Information Extraction and Integration from Web
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 Extraction Web Extraction Layer
3.2 Integration Layer
3.3 Application Layer
4 Experimental and Result
5 Conclusion
Acknowledgment
References
A Comparative Study on Artificial Neural Network and Radial Basis Function for Modelling Output Response from Computer Simulated Experiments
Abstract
1 Introduction
2 Research Methods
2.1 Kriging Model
2.2 Radial Basis Function
2.3 Artificial Neural Network
2.4 Test Problems
2.5 Model Validation
3 Results
4 Conclusions
References
Mutation Variations in Improving Local Optima Problem of PSO
Abstract
1 Introduction
2 Previous Works
2.1 Particle Swarm Optimization (PSO)
2.2 Enhance Particle's Exploration of Particle Swarm Optimization with Individual Particle Mutation (IMPSO) [6]
3 Proposed Mutation Variations
4 Experiments
4.1 Benchmark Functions
4.2 Experiments Setup
4.3 Experiments Results
5 Conclusion
References
Intruder Detection by Using Faster R-CNN in Power Substation
Abstract
1 Introduction
2 Methodology
2.1 Faster Region Convolution Neural Network (Faster R-CNN)
2.2 Overall Process
2.3 Object Detection System
2.4 Line Notification System
2.5 Mean Average Precision
3 Experiments and Results
4 Conclusion
Acknowledgments
References
Super-Resolution Image Generation from Enlarged Image Based on Interpolation Technique
Abstract
1 Introduction
2 Literature Review
2.1 Super-Resolution (SR)
2.2 Interpolation
2.3 Bicubic Interpolation
2.4 Performance Measure
2.4.1 Peak Signal to Noise Ratio (PSNR)
2.4.2 Root Mean Square Error (RMSE)
3 Research Methodology
3.1 Material and Method
3.2 Super-Resolution Image (SRG)
4 Experimental Results
5 Conclusion
Smart Telematics System with Beacon and Global Positioning System Technology
Abstract
1 Introduction
2 Literature Review
3 Methodology
4 Results
5 Conclusion
Acknowledgement
References
Incremental Object Detection Using Ensemble Modeling and Deep Transfer Learning
Abstract
1 Introduction
2 Object Detection using Deep Learning
3 Proposed Model
3.1 Pre-trained Model
3.2 Transferred-Model
3.3 Ensemble Model
4 Results
5 Conclusion
References
Application of Deep Learning to Fairness-Based Power Allocation for 5G NOMA System with Imperfect SIC
1 Introduction
2 System Model and Problem Formulation
2.1 System Model
2.2 Problem Formulation
3 Application of Deep Learning to Fairness-Based Power Allocation
4 Simulation Results
5 Conclusion
References
Author Index

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