Proceedings of Asia Pacific Computer Systems Conference 2021: APCS 2021

Description

This book contains select proceedings papers from the Asia Pacific Computer Systems Conference (APCS 2022). The contents focus on the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems. The chapters also include contributions on data mining and knowledge discovery addressing detailed descriptions of significant applications. This book proves a valuable resource for those in academia and industry interested in computational intelligence, artificial intelligence and automation. Organizing Committee Preface Contents About the Editors Computer and Automation Systems Optimal Design of Rail Support Structure for Mountain Rail Transport Vehicle 1 Introduction 2 Finite Element Theory 2.1 Establishment of Finite Element Models 2.2 Simulation Analysis of Support Mode 2.3 Simulation Analysis of Support Height 2.4 Simulation Analysis of High-Strength Materials 3 Conclusion References Hazardous Behavior Recognition Based on Multi-Model Fusion 1 Introduction 2 Ease of Use 3 Dataset 4 Proposed Method 5 Experiments 6 Conclusion References A Study on Intelligent Agricultural Monitoring System Based on Internet of Things 1 Introduction 2 Theoretical Basis 2.1 The Concept of IoT 2.2 The Concept of Smart Agriculture 2.3 Smart Agriculture System Structure 2.4 Key Technologies of Smart Agriculture 3 Research Status at Home and Abroad 3.1 Current Status of Foreign Research 3.2 Domestic Research Status 4 The Overall Scheme Design of the System 4.1 Analysis of System Requirements 4.2 System Functions 4.3 System Scheme and Architecture Design 5 Conclusion References Design of Ship Abnormal Behavior Recognition System for Intelligent Maritime Supervision 1 Introduction 2 Monitoring Technology of Intentional Shutdown of Ship-Borne AIS Radio Station 2.1 Shutdown Identification Based on the Distribution Rule of Ship-Borne AIS Signal Strength 2.2 Anomaly Identification Based on Ship-Borne AIS “Shutdown Event” Model 3 The Reconnaissance Technology of Illegally Occupying the Working Channel of the Ship-Borne AIS 3.1 Communication Status of Working Channel of Ship-Borne AIS Equipment 3.2 Abnormal Identification of Ship-Borne AIS Working Level Signal 4 Conclusion References Phase Recovery Algorithm Based on Intensity Transport Equation and Angular Spectrum Iteration 1 Introduction 2 Phase Retrieval Algorithm 2.1 Intensity Transport Equation (TIE) 2.2 Iterative Angular Spectrum Algorithm (IASA) 2.3 Improved Algorithm 3 Simulation Experiment Results 3.1 IASA Simulation Experiment 3.2 Improved Algorithm Simulation Experiment 4 Conclusion References Advanced Computer Science and Information Management Debias in Deep Learning Recommender System 1 Introduction 2 Application of Statistical Learning in Recommendation System 2.1 Collaborative Filtering (CF) 2.2 Matrix Factorization (MF) 2.3 Factorization Machine (FM) 2.4 Field-Aware Factorization Machine (FFM) 2.5 Gradient Boosting Decision Tree (GBDT) with Logistic Regression (LR) 3 Application of Deep Learning in Recommendation System 3.1 The AutoRec Model 3.2 The NeuralCF Model 4 Debiasing on Recommender System 4.1 Propensity Score 4.2 Inverse Propensity Score (IPS) 4.3 Doubly Robust Model 5 Conclusion References Entity Relationship Extraction Based on Knowledge Graph Knowledge 1 Introduction 2 Related Research 3 Model of This Paper 4 Technical Route 4.1 Named Entity Recognition by Fusing Multi-feature Embedding 4.2 Entity Relationship Extraction Research in Novel Scenes 4.3 Research on Novel Character Relationships Based on Knowledge Graph 5 Conclusion References Algorithm Research and Program Implementation of Q Matrix Eigenvalue 1 Introduction 2 Definition and Lemma 3 Eigenvalue Dichotomy Method for Solving Q Matrix 4 Numerical Experiment and Programming 4.1 Using Python Command to Find the Eigenvalue of Q Matrix 4.2 Using Java Language to Design Q Matrix Dichotomy Program 5 Conclusions References Proposal for an Employee Management Support System for Regional Public Transportation Based on Health Data 1 Introduction 2 Regional Public Transport in Japan 2.1 Major and Regional Public Transport 2.2 Aging of Employees 2.3 Operation Management 3 Related Works 3.1 Employee Health Care 3.2 Privacy Data Management 4 Proposal of the System 4.1 Encryption of Personal Data 4.2 Design of the Applications 4.3 Application for Roll Callers 4.4 Application for Managers 4.5 Application for Employees 4.6 Design of the Backend System 5 Implementation and Evaluation 5.1 Implementation of the System 5.2 Evaluation 6 Conclusion References Gamification to Grow Motivation for Interactive Engagement of Health Nurses in Using Health Information Systems: A Conceptual Framework 1 Introduction 2 Literature Study 2.1 Health Information System 2.2 Required Use of the System 2.3 Motivation and Gamification Strategy 3 Research Method 4 Results 4.1 Game Features and Motivating Needs 4.2 Drivers of Nurse Motivation 4.3 Gamification Effect 4.4 Nurse Involvement in Information System as a Gamification 4.5 Patient-Centered Healthcare and Quality Improvement 5 Conclusions 6 Limitations References Analysis of the Influence of System Quality, Information Quality, and Service Quality of PBB 1 Introduction 2 Literature Review 2.1 Local Tax 2.2 Rural and Urban Land and Building Tax 2.3 Tax Compliance 2.4 DeLone and McLean 2.5 Application 2.6 System Quality 2.7 Information Quality 2.8 Service Quality 2.9 Hypothesis 3 Method 3.1 Outer Model 3.2 Inner Model 3.3 Variable Operations 4 Results and Discussions 4.1 Results 4.2 Discussions 4.3 The Effect of IPBB Application Service Quality on Taxpayer Compliance 5 Conclusions References Effects of Different Normalization on the ESRGAN 1 Introduction 2 Method 2.1 ESRGAN 2.2 Batch Normalization (BN) 2.3 Layer Normalization (LN) 2.4 Instance Normalization (IN) 2.5 Group Normalization (GN) 2.6 Representative Batch Normalization (RBN) 3 Experiment 4 Conclusion References Early Detection of Mental Disorder Via Social Media Posts Using Deep Learning Models 1 Introduction 2 Data Collection and Preprocessing 3 Methods 3.1 Random Predictor Model 3.2 Sentence2vec 3.3 Deep Learning LSTM Model 3.4 Pre-trained BERT 3.5 Fine-Tuned BERT 4 Experiments 4.1 Quantitative Evaluations 4.2 Qualitative Analysis 5 Conclusions and Future Work References Design of PLC Training Platform Based on Digital Twin 1 Introduction 2 Current Situation of PLC Course Training Teaching 2.1 Large Investment in Training Equipment 2.2 Training Space and Time Are Limited 2.3 Lack of Learning Initiative 3 Construction and Exploration of Digital Twin PLC Course 3.1 To Meet the Upgrading Requirements of Manufacturing Industry 3.2 Online and Offline Teaching Mode 3.3 Establish a Whole-Process Evaluation Mechanism 4 Design and Construction of Digital Twin Platform 4.1 Platform Tool Selection 4.2 NX MCD to Create 3D Scene 4.3 Connection Between PLC Program and MCD 5 Summary References