Advances in Mobile Computing and Multimedia Intelligence : 20th International Conference, MoMM 2022, Virtual Event, November 28–30, 2022, Proceedings

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Preface 6 Organization 7 Embedded Machine Learning for Data Quality Enhancement in Smart Systems (Abstracts of Keynote Talk) 9 Contents 10 Applications of Classification 12 Classification and Impact of Call-to-Actions in Push-Notifications 13 1 Introduction 13 2 Background 14 3 Methodology 16 4 Call-to-Action Classification 17 4.1 Annotated CTA Data 17 4.2 Data Augmentation 18 4.3 Implementation 19 4.4 Evaluation 19 5 Impact of Call-to-Actions In-the-Wild 21 5.1 Web Push-Notification Evaluation 22 5.2 Mobile Push-Notification Evaluation 23 6 Conclusions 26 References 26 An Intelligent ML-Based IDS Framework for DDoS Detection in the SDN Environment 28 1 Introduction 28 2 Related Works 29 3 Proposed Method 30 3.1 Data Acquisition 31 3.2 Selection of ML Method 33 4 Case Study 35 4.1 Dataset Selection 35 4.2 Choice of ML Model 37 5 Conclusion 39 References 39 Effects on Separated Learning of Acquiring Physical Movement Skills Classified by Level of Difficulty 42 1 Introduction 42 2 Implementation 44 3 Experiment 44 3.1 Learning Method 45 3.2 Learning Cost 45 3.3 Experimental Conditions 45 4 Results 46 4.1 Effects of Separated Learning for Learning the Dance Steps 46 5 Summary 47 References 47 Now, Later, Never: A Study of Urgency in Mobile Push-Notifications 48 1 Introduction 48 2 Background 49 3 Methodology 50 3.1 Mobile Push-Notification Dataset 50 3.2 Annotating Urgency with APN 50 3.3 Crowdsourced Annotation 50 4 Understanding Urgency in Mobile Push-Notifications 51 5 Evaluating Urgency Classification 51 5.1 Experiment 1 - Baseline 51 5.2 Experiment 2 - Data Augmentation 52 5.3 Experiment 3 - Time Expressions 52 5.4 Experiment 4 - Delivery Date 53 6 Conclusions 53 References 53 Image and Video Processing 55 Efficient Subjective Video Quality Assessment Based on Active Learning and Clustering 56 1 Introduction 56 2 Efficient Subjective VQA Based on Active Learning 58 2.1 Overview of AL-SVQA 58 2.2 Clustering Based Sampling Strategy 58 2.3 Dual Regression Models for Video Quality Prediction 59 2.4 Stop Criterion 60 2.5 Automatic Labelling 61 3 Experiments 61 3.1 Dataset 61 3.2 Experimental Settings 61 4 Experimental Results 62 4.1 Performance of AL-SVQA 62 4.2 Effect of Different Sampling Strategies 63 5 Conclusion 64 References 64 Curvable Image Markers: Toward Trackable Markers for Every Surface 66 1 Introduction 66 2 Related Work 68 3 Methodology 69 3.1 Detecting Curved Candidates 69 3.2 Curve Extraction and Modeling 70 3.3 Identifying Curved Markers 72 3.4 Image Marker 73 4 Evaluation 75 4.1 Detection Accuracy 75 4.2 Visual Appeal of Image Marker 77 5 Conclusion 78 References 78 Design Exploration for Better Security of Recognition-Based Image Authentication in Mobile Environment 80 1 Introduction 80 2 Related Work 81 3 Our Approach and Prototype System 82 4 Usability Evaluation 83 5 Discussion and Conclusion 84 References 85 A Scheduling Method for Division-Based Broadcasting on Dynamic Video Delivery 87 1 Introduction 87 2 Dynamic Update of Delivery Schedules 88 3 Proposed Method 89 3.1 Scheduling Procedure 89 3.2 Implementation 90 4 Evaluation 90 4.1 Evaluation Environment 90 4.2 Number of Segments and Amount of Waiting Time 90 4.3 Available Bandwidth and Waiting Time 91 5 Conclusion 91 References 92 Mobile Computing and Wireless Sensors 93 Simulating Scenarios to Evaluate Data Filtering Techniques for Mobile Users 94 1 Introduction 94 2 Data Filtering-Based Mobile Information Services 96 2.1 Social-Distance and Context-Aware Mobile Recommender Systems 96 2.2 Social-Distance-Preserving Information Services for Drivers 97 3 Simulation of Scenarios to Evaluate Mobile Recommenders 99 4 Simulation of Scenarios to Evaluate Strategies to Suggest Parking Spaces to Drivers 101 5 Experimental Evaluation 103 5.1 Experiments with RecMobiSim 103 5.2 Experiments with the Parking Simulator 104 6 Conclusions and Future Work 107 References 107 BetterPlanet: Sustainability Feedback from Digital Receipts 109 1 Introduction 109 2 The BetterPlanet System and Study 110 2.1 Application Architecture and Design 111 2.2 CO2-Data and CO2-Scoring Model for BetterPlanet 111 2.3 Study Participants 112 3 Results and Discussion 113 4 Limitations and Outlook 113 5 Conclusion 114 References 114 Context-Aware Human Activity Recognition (CA-HAR) Using Smartphone Built-In Sensors 115 1 Introduction 115 2 Related Work 116 3 Proposed Context-Activity Model 117 4 Context-Aware Human Activity Recognition (CA-HAR) 118 4.1 Basic Physical Activity Recognition 119 4.2 Context Management 119 4.3 Context-Aware HAR Integration 119 5 Implementation 120 6 Selection of Deep Learning (DL) Model 120 7 Scenario-Based Demonstration 123 7.1 Illustrative Simulation Scenario 1 – Studying/Working/Web Surfing (Home Activity) 123 7.2 Illustrative Simulation Scenario 2 – Commuting by Private Vehicle 124 7.3 Analysis of Results and Discussions 125 8 Conclusion and Future Work 126 References 126 An Improved 3DIHDV-H0P Localization Algorithm Using for Smart Irrigation Applications 129 1 Introduction 129 2 The DV-HOP Localization Algorithm 130 3 Related Works 131 4 A Proposition of 3DIHDV-H0P Algorithm 131 5 Simulation Result 133 6 Conclusion 136 References 136 Online Teaching and Movements 138 Online Dance Lesson Support System Using Flipped Classroom 139 1 Introduction 139 2 Related Works 141 3 Preliminary Investigation 141 3.1 Lesson Design 141 3.2 Participants' Impressions 142 4 Proposed Method 142 4.1 On-Demand Lesson: Basic Movement Learning Support Tool 143 4.2 Real-Time Lesson 145 5 Summary and Future Work 146 References 147 Who Shapes the Network of a Pedagogical Space? Clues from the Movements in the Physical Places 149 1 Introduction 149 2 Related Work 150 2.1 Pedagogical Space 150 2.2 Multimodality in Pedagogical Spaces 151 3 Methods 152 3.1 Measurements 152 3.2 Subject and Research Site 152 3.3 Equipment 153 3.4 Procedure 153 4 Results 154 4.1 Offline Lecture 154 4.2 Online Lecture 155 4.3 Hybrid Lecture 156 5 Discussion 157 6 Conclusion 158 References 158 Resolving Learners Misunderstandings Using an Adaptive Divide and Correct Technique 160 1 Introduction 160 2 Related Works 162 2.1 Formative Feedback 162 2.2 Feedback Models 163 2.3 Learning Analytic 163 3 Solution Overview 164 3.1 Clustering Similar Misunderstanding 164 3.2 Providing and Verifying Feedback 166 3.3 Estimating Feedback Effectiveness 167 4 Experiments and Results 169 4.1 Experiments Settings 169 4.2 Experiment Scenarios 169 4.3 Results: Performance Analysis 171 4.4 Results: Participants Analysis 172 5 Conclusion and Future Work 172 References 173 A Stumble Detection Method for Programming with Multi-modal Information 175 1 Introduction 175 2 Related Work 176 3 Proposed Method 176 3.1 Assumed Environment 176 3.2 Stumble Detection Method 177 3.3 Web Editor Implementation for Retrieving Code-Related Metrics 178 4 Evaluation 178 4.1 Procedure 178 4.2 Result 178 5 Conclusion 180 References 180 Author Index 181 This volume includes the papers presented at the 20th International Conference on Advances in Mobile Computing & Multimedia Intelligence (MoMM2022), organized in conjunction with 24th International Conference on Information Integration and Web Intelligence. ​The dominant research focus of submitted papers was artificial intelligence and machine learning. The accepted papers presented advances and innovations in an array of areas such as online teaching, activity and movement detection, greenhouse gas emission, smart irrigation, network security, and video delivery. MoMM2022 attracted 34 papers, from which the Program Committee selected 8 regular papers and 8 short papers. Due to safety concerns as well as other restrictions preventing travel and gatherings, it was decided to organize MoMM2022 as a virtual conference.