Science, Engineering Management and Information Technology: First International Conference, SEMIT 2022, Ankara, Turkey, February 2–3, 2022, Revised ... in Computer and Information Science, 1808)

This two-volume set constitutes selected papers presented during the First First International Conference on Science, Engineering Management and Information Technology, SEMIT 2022, held virtually in Ankara, Turkey, in February 2–3, 2022 and in September 8-9, 2022. The 37 papers presented were carefully reviewed and selected from the 261 qualified submissions. The papers are organized in the following topical sections: application of computer science and technology in operations and supply chain management; advances of engineering technology and Artificial Intelligence in application management; human factors management systems based on information technology; technology-aided decision-making: systems, applications, and modern solutions. Preface Organization Contents – Part I Contents – Part II Application of Computer Science and Technology in Operations and Supply Chain Management Developing an Optimization Model to Determine Fleet Size of Automated Guided Vehicle 1 Introduction 2 Automated Guided Vehicles 2.1 Characteristics 2.2 Literature Review 3 Problem Definition 3.1 Assumptions 3.2 Mathematical Model 3.3 Constraints 4 Case Study and Results 5 Conclusions References A Multi-objective Optimization Model for Sustainable-Robust Aggregate Production Planning Problem 1 Introduction 2 Related Studies 3 Model Development 3.1 Robust Counterpart Model 4 Improved Multi-Choice Goal Programming 5 Findings 6 Conclusion and Recommendations for Future References Quality-Based Supplier Evaluation and Improvement Using DEA and SQFE 1 Introduction 2 SQFE Approach and the Indices 3 Supplier Selection and Evaluation Methodology 3.1 Supplier Evaluation Model Based on DEA and SQFE 3.2 Potential Improvement 4 Numerical Illustration 5 Conclusions References Airport Situations and Games with Fuzzy Uncertainty 1 Introduction 2 Preliminaries 2.1 Fuzzy Intervals 2.2 Fuzzy Interval Cooperative games 2.3 Airport Situations and the Baker-Thompson Rule 3 Airport Fuzzy Situations and Their Baker-Thompson Rule 4 Discussion 5 An Application 6 Conclusion References Recent Directions of Industry 4.0 Applications in Supplier Ranking Process 1 Introduction 1.1 Cloud Computing (CC) 1.2 Simulation 1.3 Cyber Security (CS) 1.4 Augmented Reality (AR) 1.5 System Integration 1.6 Internet of Things (IOT) 1.7 Autonomous Robots 1.8 Additive Manufacturing 1.9 Big Data 2 Theoretical Basis 2.1 Supply Chain Management (SCM) 2.2 Supplier Ranking 3 Methodology 4 Results Discussions and Findings 4.1 Annual Distribution of Publications and Growth Data 4.2 Summary of Reviewed Publications 4.3 Type of the (I4.0) Technologies Applications 4.4 Criteria Adopted in the (I4.0) Era 4.5 MCDM Approaches 4.6 Optimization-Models of Uncertainty in the I4.0 Era 5 Conclusion, Future Directions and Limitation References A Two-Stage Machine Learning-Based Heuristic Algorithm for Buffer Management and Project Scheduling Optimization 1 Introduction 2 Literature Review 3 Methodology 3.1 The First Stage of the Proposed PBMA 3.2 The Second Stage of the Proposed PBMA 4 Numerical Results 5 Conclusion References Advances of Engineering Technology and Artificial Intelligence in Application Management Measuring the Efficiency of Turkish Energy Distribution Companies Using Data Envelopment Analysis 1 Introduction 2 Literature Review 3 Methodology 4 Case Study 5 Conclusion References Monocular Vision-Based Prediction of Cut-In Manoeuvres with LSTM Networks 1 Introduction 2 Related Work 2.1 Trajectory-Based Maneuver Classification 2.2 Vision-Based Maneuver Classification 3 Methodology 3.1 Vehicle Detection 3.2 Vehicle Tracking 3.3 Feature Extraction and Network Architecture 4 Dataset 4.1 BDD-100K Dataset and Labeling 4.2 Prevention Dataset and Labeling 5 Experimental Results 5.1 Cut-In/Lane-Pass Classification Results on BDD-100K Dataset 5.2 Cut-In/Lane-Pass Classification Results on Prevention Dataset 5.3 Lane Change Prediction Results on Prevention Dataset 5.4 Computational Efficiency 6 Conclusions References Randomized Low-Rank Nonlinear RX Detector 1 Introduction 2 RX Detectors 2.1 RX Anomaly Detector 2.2 Kernel RX (KRX) Anomaly Detector 2.3 Randomized RX (RRX) Anomaly Detector 3 Proposed Method 4 Results 4.1 Synthetic Dataset 4.2 Airport-Beach-Urban (ABU) Dataset 5 Conclusions References Where is Risk Going and Roles of Using Internet Data – A Case Study of Weighted Beta CAPM in Vietnam Listed Banks Under Macro Context 1 Introduction 2 Literature Review 3 Methodology 3.1 Method and Data 4 Main Results 4.1 Overall Results 4.2 OLS Regression Results 5 Discussion 6 Conclusion References The Role of Digital Transformation in the Vietnamese Banking Sector 1 Introduction 2 Literature Review 3 Research Methods 3.1 Research Models 3.2 Data 4 Empirical Analysis 5 Conclusion References The Digital Roles of Technology Management Applications in Digital Economy 1 Introduction 2 Methodology 3 Literature 4 Problems Likely to Occur in Industry 4.0 5 Industry 4.0 Studies in the World and the European Union 6 Results References Emphasizing the Relationship between Scans and Exploits Events’ Data: An Exploratory Data Analysis Over Time 1 Introduction 2 Related Work 3 Model and Dataset 3.1 Data Collection 3.2 Proposed Model 3.3 Data Processing 3.4 Impact Detection Method 4 Results 4.1 EDA 4.2 Exploits Impact Analysis 5 Conclusion References Fire Resistance Analysis Through Synthetic Fire Tests 1 Introduction 2 Database 2.1 Real Data 2.2 Synthetic Data 3 Methodology 3.1 Xgboost Regression Model 3.2 Xgboost Classification Model 4 Results and Discussion 5 Conclusions References Unsupervised Machine Learning for Fire Resistance Analysis 1 Introduction 2 Database 3 Methodology 3.1 Fuzzy C Means Clustering Algorithm 3.2 Silhouette Index 3.3 Principal Component Analysis (PCA) 3.4 Decision Tree as an Interpretable Model 4 Results and Discussion 5 Conclusions References Apriori Algorithm in Market Basket Analysis: A Retailer Example in Turkey 1 Introduction 2 Literature Review 2.1 Customer Relationship Management for Marketing 2.2 Data Mining 2.3 Market Basket Analysis and Association Rule Mining 3 Method 4 Findings of the Research 5 Conclusion and Discussion References Human Factors Management Systems Based on Information Technology A Machine Learning Approach to Detect Infected People to Coronavirus Based on Raman Spectroscopy Data 1 Introduction 2 Related Works 3 Proposed Approach 3.1 Dataset 3.2 Feature Selection 3.3 Neural Networks 3.4 Cross-Validation 4 Results 5 Conclusion References Exploring the Behavioural Factors of Cervical Cancer Using ANOVA and Machine Learning Techniques 1 Introduction 2 Data Set 3 Research Algorithms and Concepts 3.1 k Nearest Neighbors Classification 3.2 Decision Tree Classification 3.3 Naive Bayes Theorem 3.4 ANOVA 3.5 K-Fold Cross Validation Technique 4 Experiments and Results 4.1 Performance Criteria 4.2 Experimental Results 5 Conclusion References Mutual Effect Between Language Use and Media Technology via Digital Communication 1 Introduction 2 Research Method 2.1 Research Design 2.2 Data Collection and Description 2.3 Data Analysis and Tools 3 Results 3.1 Newly Developed Styles 3.2 Changes in Grammatical Use 3.3 New Trends of Pragmatics 3.4 Lexical Features 3.5 Some Factors Leading to These Newly Developed Ways of Language Use 4 Conclusions and Discussions References Factors Determining Customers’ Intention to Use Digital Banking - The Case of Vietnam 1 Introduction 2 Literature Review 2.1 Digital Banking 2.2 Literature Review 3 Research Hypothesis 4 Research Results 4.1 Descriptive Statistics 4.2 Reliability Test 4.3 Exploratory Factor Analysis (EFA) 4.4 Correlation Coefficient Analysis 4.5 Linear Regression Analysis 5 Conclusion References The Breach is Dead, Long Live the Breach: A Spatial Temporal Study of Healthcare Data Breaches 1 Introduction 2 Related Work 2.1 Healthcare Data Breaches 2.2 Data Breaches’ Impacting Factors 2.3 Healthcare Data Security Issues During COVID-19 3 Dataset 3.1 The Office of Civil Rights (OCR) Data 3.2 Dataset Description 4 Healthcare Data Breach Analysis in US between 2009 and 2021 4.1 Breach Occurrence 4.2 Breach Occurrence by Healthcare Entity Type 4.3 Breach per States 4.4 Data Disclosure Types 4.5 Breached Locations 4.6 Healthcare Data Breach Analysis: A Focus on COVID-19 Era 5 Results and Findings Discussion 6 Limitations and Future Work 7 Conclusion References Technology-Aided Decision-Making: Systems, Applications, and Modern Solutions A Bibliometric Analysis of the Last Ten Years of Fuzzy Min-Max Neural Networks 1 Introduction 2 Data Source and Preprocessing 2.1 Data Collection 3 Bibliometric Analysis Results 3.1 The Analysis of Authors 3.2 Keywords Analysis 3.3 Analysis of Publication Sources 3.4 Country Analysis 3.5 Citation Analysis 4 Discussion and Future Directions 5 Conclusions References Selecting MCDM Criteria for Machining Center Ranking Decisions Using Design of Experiments and TOPSIS Approaches 1 Introduction 2 Methodology 3 Application 4 Selection of Criteria to Be Used in MCDM Methods 5 Conclusions Apeendix A. An Example Appendix References Machine Learning and Fuzzy MCDM for Digital Advertising Effectiveness 1 Introduction and Background 2 Materials and Methods 2.1 Study Area 2.2 Platform and Tools 2.3 Our Approach 3 Results and Discussion 3.1 Fuzzy VIKOR Application for Online Advertising Problems Selection 3.2 Sequence Classification Model For Ad Fraud Detection 4 Conclusion References Performance Measurement of Insurance Company Software Groups by Using Fuzzy-AHP and ELECTRE Method 1 Introduction 2 Literature 3 Methodology 3.1 Fuzzy AHP 3.2 ELECTRE 4 Application 5 Conclusion References A Combined Multi-objective and Multi Criteria Decision Making Approach for Wireless Sensors Location in Agriculture 4.0 1 Introduction 2 Related Works 3 Preliminaries 3.1 Agriculture 4.0 Core Technologies 3.2 Types of Agricultural Sensors 4 Problem Statement and Formulation 4.1 Problem Statement 4.2 Problem Formulation 5 Solution Method: Multi-objective Optimization 5.1 Equal Weights 5.2 Rank Order Centroid (ROC) Weights 5.3 Rank Sum (RS) Weights 5.4 Epsilon-Constraint Method 6 Solution Method: Marcos Method 7 Computational Experiment 8 Conclusion References Toward a Secure Industry 4.0: An SDN-Assisted Approach “SSI4” 1 Introduction 2 Background Study and Literature Review 2.1 Background Study 2.2 Literature Review 3 Proposed SDN-Assisted Approach (SSI4) for Securing Industry 4.0 4 Conclusion References Author Index