Data Science and Digital Transformation in the Fourth Industrial Revolution

Preface
Contents
Contributors
A Study on the Intention to Use Korean Telemedicine Services: Focusing on the UTAUT2 Model
	1 Introduction
	2 Theoretical Background
		2.1 The Concept and Definition of Telemedicine Service
		2.2 The Current Status of Overseas Telemedicine Service Businesses at Home and Abroad
		2.3 United Theory of the Acceptance and Use of Technology
		2.4 Perceived Risks
	3 Research Model and Hypotheses
	4 Research Method
		4.1 Data Collection and Analysis Method
		4.2 Operational Definition of Variables
	5 Research Results
	6 Conclusions
	References
A Structural Relationship Between Environmental Uncertainty, Dynamic Capability, and Business Performance in a Smart Supply Chain Environment
	1 Introduction
	2 Theoretical Background and Hypotheses
		2.1 Smart Supply Chains
		2.2 Dynamic Capabilities
		2.3 Dynamic Capabilities and Business Performance
		2.4 Environmental Uncertainty
	3 Research Method
		3.1 Data Collection
		3.2 Measurement
	4 Empirical Analysis
		4.1 Testing the Measurement Model
		4.2 Testing the Structural Model
		4.3 Moderating Effects of Environmental Uncertainty
	5 Conclusions
	References
Analysis of the Relative Importance of Coaching Service Quality
	1 Introduction
	2 Theoretical Background
		2.1 Coaching
		2.2 Coaching Competency
		2.3 Coaching Service Quality
	3 Research Design
		3.1 Research Method
		3.2 Study Model
		3.3 Measurement Tool
	4 Analysis and Results
		4.1 Data Collection and Inspection
	5 Conclusions
	References
Determinants of Technology-Based Self-Service Acceptance
	1 Introduction
	2 Theoretical Background and Hypotheses
		2.1 TBSS (Technology-Based Self-Service)
		2.2 VAM (Value-Based Adoption Model)
		2.3 VAB (Value-Attitude-Behavior) Model
	3 Research Method
		3.1 Sample and Data Collection
		3.2 Measures
		3.3 Analysis Method
	4 Analysis and Results
		4.1 Measurement Model
		4.2 Structural Model
		4.3 Hypotheses Tests
	5 Conclusions
		5.1 Summary and Discussion of Results
		5.2 Implications and Limitations
	References
Pre-verification of Data in Electronic Trade Blockchain Platform
	1 Introduction
	2 Theoretical Background
		2.1 Advent and Features of Blockchain
		2.2 Structure of Blockchain
		2.3 Advanced Research
	3 Empirical Analysis
		3.1 Efficiency of Pre-verification Model for Electronic Document Data
		3.2 The Result of Integrity Verification on Electronic Document Data
	4 Conclusion
		4.1 Summary and Implications of Study
	References
Study on Security and Privacy of E-Government Service
	1 Introduction
	2 Theoretical Background
		2.1 E-Government
		2.2 Factors for Choosing E-Government
		2.3 Information System Success Model (IS Success Model)
		2.4 Technology Acceptance Model (TAM)
	3 Design of Study
		3.1 Research Model
	4 Empirical Analysis
		4.1 Data Collection
		4.2 Exploratory Factor Analysis
		4.3 Confirmatory Factor Analysis
	5 Conclusions
		5.1 Summary of Research Result and Implications
		5.2 Limitations of the Study and Direct of Future Study
	References
Applying Hofstede’s Culture Theory in the Comparison Between Vietnam and Korean E-Government Adoption
	1 Introduction
	2 Literature Review
		2.1 E-Government in Korea
		2.2 E-Government in Vietnam
		2.3 Information System’s Theories
		2.4 Hofstede’s National Culture Theory
	3 Research Model and Hypotheses
	4 Data Analysis
	5 Conclusion
	References
Study on Business Strategy Quantification Using Topic Modeling and Word Embedding: Focusing on ‘Virtual Reality’ and ‘Augmented Reality’
	1 Introduction
	2 Background
		2.1 Business Strategy and Text Analysis
		2.2 Text Analysis and Topic Modeling
		2.3 Word Embedding
	3 Research Methods
		3.1 Data Collection
		3.2 Selecting Topic Title
		3.3 Strategy Axis and Strategy Space
		3.4 Word Embedding and Quantifying Topics
	4 Experiment Result
		4.1 Topic Analysis
		4.2 Change of Topic in Strategic Space
	5 Conclusion
	References
3D Printing Signboard Production Using 3D Modeling Design
	1 Introduction
	2 Related Studies
		2.1 3D Modeling
		2.2 Slicing
		2.3 3D Printing
	3 3D Printing Signboard Production 2D Design and 3D Modeling
		3.1 3D Printing Signboard Production 2D Design
		3.2 3D Printing Signboard Production 3D Modeling
		3.3 Slicing for 3D Printing Signboard Production Printing
	4 3D Printing Signboard Production Printing
		4.1 3D Printing Signboard Production Printing
		4.2 3D Printing Signboard Production Post-processing Method
		4.3 3D Printing Signboard Production, LED, Acrylic
		4.4 3D Printing Signboard Production, LED, Acrylic
		4.5 Comparative Analysis Table
	5 Conclusion
	References
AI-Based 3D Food Printing Using Standard Composite Materials
	1 Introduction
	2 Related Studies
	3 3D Food Printing System and Process
		3.1 3D Food Printing System and Process
		3.2 Materials
		3.3 Rheological Properties
		3.4 Statistical Analysis
	4 AI-Based Printability Analysis of 3D Food Printing
		4.1 AI Machine Learning Analysis and Algorithm Design
		4.2 Analysis of Print Suitability of 3D Food Printing of AI Result Value
		4.3 AI-Based 3D Food Printing Prospect
	5 Conclusion
	References
Telemedicine AI App for Prediction of Pets Joint Diseases
	1 Introduction
	2 Related Studies
		2.1 Machine Learning
		2.2 Dog Joint Disease
	3 Dog Joint Disease AI Machine Learning Design
		3.1 Big Data Analysis and AI System Design by Dog Joint Disease
		3.2 Smarteck App Machine Learning Design
		3.3 5G Communication Design on Smarteck App
	4 Design of Smarteck App for Determining the Presence of Joint Disease in Dogs
		4.1 Shooting Mode
		4.2 Scan Mode
		4.3 AI Readout Mode
		4.4 Result Mode
	5 Conclusion
	References
Design of Artificial Intelligence for Smart Risk Pre-review System at the KC EMC
	1 Introduction
	2 Analysis of Smart Risk Preview System
		2.1 Digital Documents and Cybersecurity for Smart Risk Preview
		2.2 Analyze the Process of Product Sales Conformity Assessment
	3 AI Design of Smart Risk Pre-review System
		3.1 The Machine Learning Design to Search HS Code
		3.2 Deep Learning AI Design to Search for Technical Regulations and Standards
		3.3 Designing Machine Learning AI for Conformity Check and Quality Labelling Document
	4 Conclusion
	References
AI Analysis of Illegal Parking Data at Seocho City
	1 Introduction
	2 Vehicle Number Recognition System Analysis
		2.1 Data Preprocessing for Seocho City Vehicle Number Recognition and Extraction
	3 AI Machine Learning Analysis on Illegal Parking in Seocho City
		3.1 Process Analysis for Illegal Vehicle Number Recognition
		3.2 AI Machine Learning for Illegal Parking Enforcement
	4 AI Deep Learning Design to Improve Illegal Parking Enforcement Efficiency
		4.1 AI Deep Learning System Design
		4.2 AI Deep Learning Process Improvement Design
		4.3 AI Deep Learning Algorithm Application Design
		4.4 Improvement Effect When Applying AI Deep Learning
	5 Conclusion
	References
Regularized Categorical Embedding for Effective Demand Forecasting of Bike Sharing System
	1 Introduction
	2 Related Works
		2.1 Demand Forecasting for Bike Sharing Systems
		2.2 Categorical Embedding
	3 Proposed Method
		3.1 Categorical Embedding Based Network
		3.2 Model Optimization
		3.3 Demand Forecast and Station Embedding
		3.4 Projection Embedding via UMAP and Clustering Analysis
	4 Experiments
		4.1 Datasets
		4.2 Experimental Setup
		4.3 Evaluation Metrics
		4.4 Baseline
	5 Results
		5.1 Model Performance
		5.2 Station Embedding and Clustering
		5.3 Rental Station Pattern Analysis: Time Information
		5.4 Rental Station Pattern Analysis: Temperature
	6 Conclusion
	References
Development of a Model for Predicting the Demand for Bilingual Teachers in Elementary Schools to Support Multicultural Families—Based on NEIS Data
	1 Introduction
	2 Related Research and Status
		2.1 Academic Achievement Status of Children of Multicultural Families
		2.2 NEIS (National Education Information System)
		2.3 Big Data Analysis Method and Procedure
	3 Analytical Model Development
		3.1 Model Development Process
		3.2 Data Set Design
		3.3 Analysis Model Implementation
	4 Analysis Model Application Result
	5 Conclusion
	References
Research on Implementation of User Authentication Based on Gesture Recognition of Human
	1 Introduction
	2 Background
		2.1 Authentication Factors
		2.2 Single-/Multi-Factor Authentication
		2.3 Biometrics
		2.4 Biometrics
	3 Implementation Method of Gesture Recognition-Based Authentication System
		3.1 Overview
		3.2 Implementation of Dynamic, Static Biometrics
		3.3 Implementation Method of Access Authentication System
	4 Application Scenario
	5 Conclusion
	References
AI TTS Smartphone App for Communication of Speech Impaired People
	1 Introduction
	2 Relevant Research
	3 Motion Recognition of Deaf People Analysis and AI Design
		3.1 Motion Recognition Analysis on Smartphones
		3.2 AI Machine Learning and TEXT Design
		3.3 Designed with AI Machine Learning TEXT and TTS
		3.4 Designed with AI Machine Learning STT
	4 AI App Design for AAC for the Deaf
		4.1 Multi-AAC Development
		4.2 Sign Language Recognition Analysis APP on Smartphones
		4.3 AI Machine Learning String Learning Analysis APP
		4.4 AI Machine Learning Voice Learning Analysis & TEXT Display APP
		4.5 Comparison of Information Transfer for the Deaf
	5 Conclusion
	References
Author Index