Modern Approaches for Intelligent Information and Database Systems (Studies in Computational Intelligence (769))

This book offers a unique blend of reports on both theoretical models and their applications in the area of Intelligent Information and Database Systems. The reports cover a broad range of research topics, including advanced learning techniques, knowledge engineering, Natural Language Processing (NLP), decision support systems, Internet of things (IoT), computer vision, and tools and techniques for Intelligent Information Systems. They are extended versions of papers presented at the ACIIDS 2018 conference (10th Asian Conference on Intelligent Information and Database Systems), which was held in Dong Hoi City, Vietnam on 19{u2013}21 March 2018. What all researchers and students of computer science need is a state-of-the-art report on the latest trends in their respective areas of interest. Over the years, researchers have proposed increasingly complex theoretical models, which provide the theoretical basis for numerous applications. The applications, in turn, have a profound influence on virtually every aspect of human activities, while also allowing us to validate the underlying theoretical concepts Preface Contents Part I Knowledge Engineering and Semantic Web 1 A Three-Stage Consensus-Based Method for Collective Knowledge Determination Abstract 1 Introduction 2 Related Work 3 Basic Notions 3.1 Collective of Knowledge States 3.2 Collective Knowledge Determination 3.3 Quality of Collective Knowledge 4 Proposed Method 5 Experiments and Evaluation 5.1 Settings 5.2 Experimental Results and Their Evaluation 6 Conclusions and Future Works Acknowledgements References 2 Fuzzy Ontology Modeling by Utilizing Fuzzy Set and Fuzzy Description Logic Abstract 1 Introduction 2 Fuzzy Ontology Definition 3 A Fuzzy Ontology Modeling Method Using OWL2 3.1 Annotation 3.2 Fuzzy Modifiers 3.3 Fuzzy Datatype 3.4 Fuzzy Concept C 3.5 The Fuzzy Role R 3.6 Fuzzy Axiom Z 4 Fuzzy Ontology Construction with Protégé 4.1 Fuzzy Weather Ontology Construction 4.2 Create Description Logic for Fuzzy Weather Ontology 5 Conclusion An Approach for Recommending Group Experts on Question and Answering Sites 1 Introduction 2 Related Works 3 Group Experts Recommendation Method 3.1 Problem Formulation 3.2 Expert Detection 3.3 Question Topic Modeling 3.4 Group Experts Recommendation 4 Experiments 4.1 Dataset 4.2 Evaluations and Results 5 Conclusion and Future Work References 4 A Method for Uncertainty Elicitation of Experts Using Belief Function Abstract 1 Introduction 2 Materials and Methods 2.1 Theory of Belief Functions 2.2 Expert Elicitation Using the Theory of Belief Functions 3 Results 4 Discussion 5 Conclusions Funding References Storing Hypergraph-Based Data Models in Non-hypergraph Data Storage 1 Introduction 2 Literature Review 3 Mathematical Background 4 Solution and Implementation 4.1 Storing Hypergraph Model in Common Graph-Database 5 Conclusion and Future Work References Part II Natural Language Processing and Text Mining 6 A Fuzzy Logic Approach to Predict the Popularity of a Presidential Candidate Abstract 1 Introduction 2 Related Works 3 Data Set Descriptions 4 Methodology 5 Results and Analysis of Results 6 Conclusions and Future Works References 7 DNA Sequences Representation Derived from Discrete Wavelet Transformation for Text Similarity Recognition Abstract 1 Introduction 2 Fundamental of Haar DWT and Proposed Algorithm for Generating DNA Sequences 3 Text Similarity Recognition: Proposed System Setup 3.1 Preprocessing 3.2 Generating Source DNAs 3.3 Text Similarity Recognition 4 Experimental Results 4.1 Datasets Acquisition 4.2 Evaluation Method and Experimental Results 5 Conclusion Acknowledgements References Tweet Integration by Finding the Shortest Paths on a Word Graph 1 Introduction 2 Related Works 3 Tweet Integration Method 3.1 Tweet Preprocessing 3.2 Topic Modeling 3.3 Sentiment Analysis of Tweets 3.4 Word Graph Construction 3.5 Find-Shortest-Paths Method on a Word Graph 4 Experiment 4.1 Dataset 4.2 Performance Evaluation 4.3 Results and Discussion 5 Conclusion and Future Work References 9 Event Detection in Twitter: Methodological Evaluation and Structural Analysis of the Bibliometric Data Abstract 1 Introduction 2 Problem Definition 3 Related Work 3.1 Comparing Event Detection Technique 3.2 Bibliometric Analysis 4 Research Methods 4.1 Bibliometric Analysis 4.2 Comparing the Methods 5 Open Issues 6 Conclusions Acknowledgements References Combination of Inner Approach and Context-Based Approach for Extracting Feature of Medical Record Data 1 Introduction 1.1 Context of Problem 1.2 Problem of Migration in Electronic Health Records 1.3 Problem to Solve 2 Related Work 3 Proposition 3.1 Naive 3.2 Re-using Word2vec 3.3 Character2vec 3.4 Combination of Inner Approach and Context-Based Approach 4 Experiments 4.1 Datasets 4.2 Implementation Details 5 Evaluation 5.1 Compare Naive with Character2vec 5.2 Compare Word2vec with Word2vec Combines Character2vec 6 Conclusion References A Novel Method to Predict Type for DBpedia Entity 1 Introduction 2 Related Work 3 The Consistency of Type 3.1 The Statements of Mappings in DBpedia 3.2 The Analysis of Type Consistency 4 Type Prediction 5 Results and Evaluation 6 Conclusion and Future Work References 12 Context-Based Personalized Predictors of the Length of Written Responses to Open-Ended Questions of Elementary School Students Abstract 1 Introduction 2 Methods 3 Results 4 Conclusions Acknowledgements References Part III Machine Learning and Data Mining 13 Robust Scale-Invariant Normalization and Similarity Measurement for Time Series Data Abstract 1 Introduction 2 Background and Related Works 2.1 Longest Common Subsequence Similarity (LCSS) 3 Our Proposed Algorithm 3.1 Local Scaling Feature (LSF) and Local Feature Normalization (LFN) 3.2 Longest Common Local Scaling Feature (LCSF) 4 Experiments and Results 4.1 Local Features Normalization (LFN) 4.2 Longest Common Local Scaling Feature (LCSF) on Synthetic Data 4.3 LCSF on Real World Data and Applications 5 Conclusion and Future Works References 14 Perceiving Attributes of Game AI Using Fuzzy Logic Abstract 1 Introduction 2 Background 3 Methodology 3.1 Reasoning—Summary 3.2 Inputs—Explanation 3.3 Reasoning—Explanation 4 Findings 5 Conclusion and Future Work References Approaches to Building a Detection Model for Water Quality: A Case Study 1 Introduction 2 Related Work 3 Dataset 4 Preprocessing 5 Features Selection 6 Modeling Tools 7 Evaluation of Models 7.1 Problems with Accuracy 7.2 Precision, Recall and F1 8 Experimental Results 9 Conclusion and Future Work References 16 A Deep Learning Approach to Case Based Reasoning to the Evaluation and Diagnosis of Cervical Carcinoma Abstract 1 Introduction 2 Background 2.1 Cervical Squamous Cell Carcinoma 2.2 Deep Learning Versus Knowledge Representation and Reasoning 2.3 Case Based Reasoning 2.4 Pre-processing and Segmentation 2.5 Feature Extraction 3 Case Study 4 Conclusions Acknowledgements References 17 A Fuzzy Approach for the Diagnosis of Depression Abstract 1 Introduction 2 Literature Review 3 Methodology 3.1 Dataset 3.2 Designing Fuzzy Inference System (1st Phase) 3.3 Designing Fuzzy Inference System (2nd Phase) 4 Results and Analysis of Results 5 Conclusion and Future Work Acknowledgements References 18 A Weighted Approach for Class Association Rules Abstract 1 Introduction 2 Preliminary Concepts 3 Related Work 4 Mining Class Association Rules with Weighted 5 Experimental Results 6 Conclusion and Future Works Acknowledgements References Fast and Memory Efficient Mining of Periodic Frequent Patterns 1 Introduction 2 Related Work 3 Proposed Periodicity Evaluation Measures 4 Experimental Results 4.1 Execution Time Comparison 4.2 Memory Usage Comparison 5 Conclusion References A Coupling Support Vector Machines with the Feature Learning of Deep Convolutional Neural Networks for Classifying Microarray Gene Expression Data 1 Introduction 2 Methods 2.1 Deep Convolutional Neural Networks 2.2 Support Vector Machines 2.3 Support Vector Machines Using the Feature Extraction from Deep Convolutional Neural Networks 3 Evaluation 3.1 Experiments Setup 3.2 Experiments Results 4 Conclusion and Future Works References Development of Seawater Temperature Announcement System for Quick and Accurate Red Tide Estimation 1 Introduction 2 Seawater Temperature Announcement System 2.1 Required Items 2.2 Implemented Functions and Web Page Structure 2.3 Function Details 3 Conclusion Reference Part IV Decision Support Systems 22 Support Product Development Framework by Means of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA Abstract 1 Introduction 2 Background 2.1 Product Development 2.2 Set of Experience Knowledge Structure and Decisional DNA 2.3 Virtual Engineering Objects, Virtual Engineering Processes and Virtual Engineering Factory 3 Product Development by Using SOEKS and Decisional DNA 3.1 Smart Products in Industry 4.0 3.2 Framework for Product Development Process 3.3 Process Flow Chart of Framework to Support Product Development by Using Decisional DNA 4 Conclusion and Future Work References 23 Actual Situation and Development in Online Shopping in the Czech Republic, Visegrad Group and EU-28 Abstract 1 Introduction 2 Literature Review 3 Methodology and Goal 4 Results 4.1 Selected Activities Carried Out by Individuals on the Internet 4.2 Individuals Making Purchases on the Internet 4.3 Individuals Who Ordered Goods or Services Over the Internet for Private Use in Visegrad Group and EU-28 5 Discussion and Conclusion Acknowledgements References 24 How Product Brand Effects Consumer Decision Abstract 1 Introduction 1.1 Czech Republic 1.2 Taiwan 2 Methodology 3 Results 3.1 Evaluation of the Research Questions 4 Discussion 5 Conclusion Acknowledgements References 25 Investments Decision Making on the Basis of System Dynamics Abstract 1 Introduction 2 Prehistory and Related Work 2.1 Modeling in the Oil Industry 2.2 Tools for Modelling and Simulation 3 System Dynamics Model of Oil Company 3.1 Model Development Methodology 3.2 Description of Oil Company and Its Structural Model 3.3 Development of Causal Loop Sub-models 4 The Problem of Data Extraction in Intellectual Information Systems 5 Conclusions and Future Work References 26 Dynamic Configuration of Same-Day Delivery in E-commerce Abstract 1 Introduction 2 Logistic Source of Value in E-commerce 3 Models of Same-Day Delivery 4 Assumptions of the Same-Day Delivery Platform 5 Exemplification of the Model 6 Conclusions Acknowledgements References 27 Lean and Agile Supply Chains of E-commerce in Terms of Customer Value Creation Abstract 1 Introduction 2 Lean and Supply Chain 3 Research Methodology 4 Nature of Supply Chains—Research Results 5 Smart E-commerce Solutions in Lean and Agile Supply Chains 5.1 Product in E-commerce 5.2 Logistics in E-commerce 5.3 Supply Chain Management in E-commerce 6 Conclusion Acknowledgements References Improvement of Community Bus Operation Management System 1 Introduction 1.1 Community Bus 1.2 About PBL 2 B-Map System 2.1 Stakeholders 2.2 Overview of B-Map System 3 Outline of Renovation 3.1 Renovation Concerning B-Map Application 3.2 Renovation Concerning B-Map Administrator System 3.3 Renovation Concerning to B-Map Web Service 4 Evaluation 4.1 Evaluation for B-Map Application 4.2 Evaluation on Repair of B-Map Administrator System 4.3 Evaluation for B-Map Web Service 5 Discussion 6 Conclusion Reference Part V Computer Vision Techniques and Applications 29 Novel Human Action Recognition in RGB-D Videos Based on Powerful View Invariant Features Technique Abstract 1 Introduction 2 Problem Definition of Our Research 3 Related Work 4 Design of Proposed Solution—Deep Architecture 4.1 Flow Chart of Our Project 4.2 Novel View Invariant Features Algorithm 5 Experiment 5.1 Use of IXMAS Dataset 6 Conclusions Acknowledgements References Study of CNN Based Classification for Small Specific Datasets 1 Introduction 2 Proposed Framework 2.1 Data Augmentation 2.2 Training a CNN 2.3 Multiscale and Region-Based Image Classification 2.4 Classification Weighting 3 Experiments and Discussions 3.1 Setup and First Results 3.2 Fine Tuning an Existing CNN Using Our Specific Dataset 4 Conclusion References How to Choose Deep Face Models for Surveillance System? 1 Introduction 2 Related Works 3 Experimental Settings 3.1 Deep Models 3.2 Benchmark Protocols 4 Evaluation Results and Analyses 4.1 Number of Parameters and Feature Extraction Time 4.2 The Employment of Face Registration 5 Conclusion and Future Work References 32 GPU Video Stream Magnification as a Tool for Touchless Object Vibration Measurement Abstract 1 Introduction 2 GPU-Based Video Motion Magnification Algorithm 2.1 Implementation 3 Tests 3.1 Experiment 1 3.2 Results of the Experiment 1 3.3 Experiment 2 3.4 Results of the Experiment 2 3.5 Comparison 4 Conclusions Acknowledgements References 33 Viewpoint Invariant Person Re-identification with Pose and Weighted Local Features Abstract 1 Introduction 2 System Overview 2.1 Training Process 2.2 Test Process 3 Viewpoint Invariant Person Re-identification 3.1 Feature Weighted Graph 3.2 Histogram of Oriented Gradients 3.3 Pose Angle Classification 3.4 Feature Extraction: Salient Color Names 3.5 Feature Extraction: Local Binary Pattern 3.6 Cross-View Quadratic Discriminant Analysis (XQDA) 4 Experimental Results 5 Conclusion References 34 Breast Cancer Detection Using Modern Visual IT Techniques Abstract 1 Introduction 2 Previous Techniques and Comments 2.1 Related Works 2.1.1 A Doubt for Infrared Base Techniques 2.1.2 Infrared Thermal Imaging 2.1.3 Near-Infrared Fluorescent (NIRF) and Agent 2.1.4 The Diameter and Depth of the Tumor 2.2 Economical Aspects of Breast Cancer 3 Discussion of Findings 3.1 Differences Between no Touch BreastScan and Sentinel BreastScan Techniques 3.2 Proposed Model 4 Conclusion Acknowledgements References 35 Contactless Identification System Based on Visual Analysis of Examined Element Abstract 1 Introduction 2 Goals 3 System Description 3.1 Appraisal by the Rate of Correspondence 3.2 Image Scanning 4 Testing of Developed Application 4.1 Methodology of Testing 4.2 Tests of Experimental System’s Speed 4.3 Tests of Reliability of Experimental System 4.4 Discussion of Results 5 Conclusions Acknowledgements References Part VI Sensor Networks and Internet of Things Integrated Data Access to Heterogeneous Data Stores for IoT Cloud 1 Introduction 2 IoT Cloud 2.1 Overall Architecture 2.2 Query Processing 3 Proposed Hybrid Data Store Access Scheme 3.1 Specific Data Access Component 3.2 Common Data Access Component 3.3 Hybrid Data Access Component 4 Performance Evaluation 4.1 Configuration of Performance Evaluation 4.2 Query Complexity Versus Response Time 4.3 Data Set Size Versus Response Time 5 Concluding Remarks References 37 Path Estimation from Smartphone Sensors Abstract 1 Introduction 2 Theoretical Backround 2.1 Pedestrian Dead Reckoning 2.2 Particle Filter 3 Experimental Setup 4 Results 5 Conclusion Acknowledgements References 38 A Multi-metric Routing Protocol to Improve the Achievable Performance of Mobile Ad Hoc Networks Abstract 1 Introduction 2 Related Work 3 Proposed Routing Protocol 3.1 System Model 3.2 Routing Metrics 4 Performance Evaluation 4.1 The Metrics Used for Performance Evaluation 4.2 Simulation Parameter 5 Conclusions Acknowledgements References Novel Aproach for Localization of Patients in Urgent Admission Department 1 Introduction 2 Overview of Location Systems 2.1 Overview of Location Systems in Healthcare Environment 3 Procedures at Urgent Admission 3.1 Issue Definition 3.2 General Process Description on Urgent Admission 4 Development of RTLS for Urgent Admission 5 Discussion and Conclusion References Design of Universal Hardware Node Board for Smart-Home Automation and the IoT 1 Introduction 2 Available Solutions 3 Prototype Requirements 4 Node Implementation 4.1 Microcontroller 4.2 Communication 4.3 Schematics 4.4 PCB 5 Testing 6 Future Improvements 7 Conclusion References Part VII Tools and Techniques for Intelligent Information Systems OpenWebCrypt—Securing Our Data in Public Cloud 1 Introduction 2 Related Work 3 Background 3.1 Client Side 3.2 Transport Layer 3.3 Server Side 3.4 Encryption 4 Possible Solutions 4.1 Encryption Proxy Server 4.2 Browser Extension 5 Prototype 5.1 Measurements 6 Conclusion 7 Future Work References 42 A Novel Load Forecasting System Leveraging Database Technology Abstract 1 Introduction 2 Technology Consideration 3 The Proposed Load Forecasting Solution 3.1 Proposed System Architecture and Implementation 4 Forecasting Models: Testing and Results 4.1 ARIMA Model Forecasting 4.2 Forecasting with the Holt-Winters’ ETS Models 4.3 Forecasting with Neural Network Auto-Regression 4.4 Effect of Parallelism (i.e. Multi-core Capability) in Forecasting 5 Test Result of DBFS Technology 5.1 Switchover Test 6 Discussion and Conclusion References 43 A Novel Database Exploitation Detection and Privilege Control System Using Data Mining Abstract 1 Introduction 2 Proposed DB Exploitation Detection and Privilege Control System: Overview 3 Database Exploitation Detection Module 3.1 Association Rules for DED 4 Proposed Privilege Control System 4.1 PCS Architecture 4.2 User’s Privilege Representation 5 Experiments and Results 6 Conclusion References Agent Programming Languages and Logics in Agent-Based Simulation 1 Introduction 2 AOP, Logic and Agent-Based Simulation 3 From AOP to MAOP 4 Case Study: Emergency Care Units 5 Discussion 6 Conclusion and Future Work References A Tool to Compute the Leakage of Multi-threaded Programs 1 Introduction 2 Background of Quantitative Information Flow 2.1 Measure of Uncertainty 2.2 Leakage of a Multi-threaded Program 3 The Structure of the Tool 4 Result 5 Conclusions References 46 Erratum to: Fuzzy Ontology Modeling by Utilizing Fuzzy Set and Fuzzy Description Logic Erratum to:Chapter “Fuzzy Ontology Modeling by Utilizing Fuzzy Set and Fuzzy Description Logic” in: A. Sieminski et al. (eds.), Modern Approaches for Intelligent Information and Database Systems, Studies in Computational Intelligence 769, https://doi.org/10.1007/978-3-319-76081-0_2 Author Index