Note: Intro -- Preface -- Organization -- Program Committee -- Additional Reviewers -- Contents -- Ensemble Learning to Generate Virtual Data for Pattern Recognition and Its Possibility of Application to Strategy Inference in Table Tennis -- References -- The Rise of Smart Contract and Its Complex Impacts on the Digital Ecosystem -- 1 The Landscape of the Modern Socio-Economics System -- 1.1 The Separation of the Financial Transaction from the Real Economy -- 1.2 The Hyper-speed Domain -- 1.3 The Slow-Speed Domain -- 2 A Simple Design of Auction on the Ethereum Platform -- 2.1 The Distributive Ledger System of the P2P Type -- 2.2 Smart Contracts on the Ethereum -- 2.3 A Simple Design of Auction on the Ethereum Platform -- 3 Byzantine General Problem -- 3.1 Common Knowledge -- 3.2 Where the Problem Is -- 3.3 Two Generals Problem -- 3.4 Byzantine General Problem and Its Practical Implication -- 4 Concluding Remarks -- References -- Automatic Collision Avoidance Using Deep Reinforcement Learning with Grid Sensor -- 1 Introduction -- 2 Related Work -- 3 System Overview -- 3.1 Detection of OZT by Grid Sensor -- 3.2 Deep Reinforcement Learning Algorithm: PPO -- 4 Learning Method -- 4.1 Environment for Learning of Collision Avoidance -- 4.2 Design of Rewards -- 4.3 Structure of Networks and Update Method -- 5 Simulation Results -- 6 Conclusions -- A Appendix -- References -- Two Way Allocation Methods in SAVS for Large Depopulated Area -- 1 Introduction -- 1.1 Demand Based Traffic -- 1.2 Purpose of Research -- 2 SAVS -- 2.1 SAVS Information -- 2.2 SAVS Operation in Regional Areas -- 3 Simulation Analysis -- 3.1 About Hiyama Southern Region -- 3.2 Simulation Preparation -- 3.3 Experiment and Consideration -- 4 Improving Allocation Algorithm -- 4.1 Two Way Allocation Methods -- 4.2 Simulation Analysis -- 4.3 Results and Consideration. , 5 Conclusion and Future Tasks -- References -- Proposal of Mathematical Model of Prediction of Human Movement Using Position Information -- 1 Introduction -- 2 Proposed Calculation Model -- 2.1 Calculation Model -- 2.2 Function M(,) -- 2.3 Probability -- 3 Tourist Data -- 3.1 Data Acquisition -- 3.2 Aims of Data Analysis -- 4 Calculation Result Using Tourist Data -- 4.1 Prediction Using Clusters -- 5 Summary and Future Prospects -- References -- Public Transport Smart Card Data Analysis Using Tucker Decomposition -- 1 Introduction -- 2 Data Descriptions -- 3 Tucker Decomposition -- 4 Results -- 4.1 Factor Matrices -- 4.2 Core Tensor -- 5 Conclusions -- References -- Estimating Impressions for Clothing, Landscape, and Indoor Images Using CNN -- 1 Introduction -- 2 Related Works -- 3 Datasets -- 3.1 Fashion Impression Dataset -- 3.2 Brand Image Dataset -- 4 Learning Datasets -- 4.1 Learning Fashion Impression Dataset -- 4.2 Learning Brand Image Dataset -- 5 Conclusion -- References -- Block-Based Neural Network High Speed Optimization -- 1 Introduction -- 2 Block-Based Neural Network -- 2.1 Basic Idea -- 2.2 ABBNN -- 3 Evolutionary Optimization Reducing Memory Access -- 3.1 Encoding -- 3.2 Genetic Operators -- 3.3 Optimization of ABBNN -- 3.4 Problem Space Reduction -- 4 Experiments -- 4.1 Setting -- 4.2 Results -- 5 Discussion -- 6 Conclusion -- References -- An Improved Auto-encoder Based on 2-Level Prioritized Experience Replay for High Dimension Skewed Data -- 1 Introduction -- 2 Auto-encoder -- 3 Proposed Method -- 4 Experiment -- 4.1 Dataset -- 4.2 Experiment Environment -- 4.3 Experiment Result -- 5 Conclusion -- References -- Multi-task Learning Using Online Fine-Tuning Considering the Importance of Each Filter -- 1 Introduction -- 2 Related Research -- 2.1 Backpropagation Algorithms -- 2.2 Transfer Learning and Fine-Tuning -- 2.3 PathNet. , 3 Online Fine-Tuning by the Filter in Multi-task Learning -- 3.1 Parameter Transfer Based on Filter Importance -- 3.2 Calculation Criteria for Filter Importance -- 4 Evaluation -- 4.1 Methods -- 4.2 Results -- 4.3 Discussion -- 5 Conclusion -- References -- Visualizing Deep Q-Learning to Understanding Behavior of Swarm Robotic System -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Deep Q-Learning -- 4 Experiments -- 4.1 Implementation Details -- 4.2 Model Architecture -- 4.3 Loss Function -- 4.4 Grad-CAM Procedure for DRL -- 5 Results -- 5.1 Result for Reconstructed Image -- 5.2 Result for Grad-CAM -- 6 Conclusion and Discussion -- References -- A Study of Upper Tropospheric Circulations over the Northern Hemisphere Prediction Using Multivariate Features by ConvLSTM -- 1 Introduction -- 2 Convolutional LSTM -- 3 Dataset -- 4 Experiment -- 5 Result -- 5.1 Short-Term Prediction -- 5.2 Long-Term Prediction -- 5.3 Prediction Features' Investigation -- 6 Conclusion -- References -- Learning Localization Skills of Soccer Robot Using by Simulated Omni-Vision Camera -- 1 Introduction -- 1.1 RoboCup Middle Size League -- 1.2 V-REP -- 2 The Proposed Method -- 2.1 Optical Properties of the Omni-Vision Camera -- 2.2 Overview of SphericalVision Camera -- 2.3 Generation Process of SphericalVision Camera -- 2.4 The Proposed Method to Create the Omni-Vision Camera -- 3 Algorithm -- 3.1 CNN -- 3.2 Creating a Learning Data Set -- 4 Experiments -- 4.1 Results -- 4.2 Summary of the Experiments -- 5 Conclusion -- References -- Examination of Analysis Method of Opinion Distribution in News Media Transferred on Web -- 1 Introduction -- 2 Prior Research -- 3 Dataset -- 3.1 Methods -- 4 Result -- 4.1 Case (1) -- 4.2 Discussion (1) -- 4.3 Case (2) -- 4.4 Discussion (2) -- 4.5 Case (3) -- 4.6 Discussion (3) -- 5 Summary -- References. , Opinion Distribution Analysis of Video Media Related to Social Life -- 1 Introduction -- 2 Dataset -- 2.1 Method -- 3 Results -- 3.1 Case (1) -- 3.2 Discussion (1) -- 3.3 Case (2) -- 3.4 Discussion (2) -- 3.5 Case (3) -- 3.6 Discussion (3) -- 4 Summary -- References -- Quantitative Consideration of Spatio-Temporal Information on Education and Culture in Japan Using Telephone Directory Archive Data -- 1 Introduction -- 2 Purpose -- 3 Dataset -- 4 Overall Trends -- 5 Discussion -- 5.1 Detailed Classification -- 6 Summary -- References -- Analyzing Urban Resilience Using Temporal and Spatial Archive Information Before and After a Disaster - Perspective of SDGs -- 1 Introduction -- 2 Purpose -- 3 Preview Research -- 4 Dataset -- 5 Trends Derived from Previous Studies -- 5.1 Relationship Between the Earthquake and Used Cars -- 5.2 A Multifaceted Study on the Reconstruction Situation After a Large-Scale Earthquake Disaster -- 5.3 Characteristic Business in the Affected Areas -- 6 Discussion -- 7 Summary -- 7.1 Considering on Characteristics of Tsunami-Affected Areas -- 7.2 Consideration of Resilience Perspective -- References -- Detecting Stock Market Bubbles Based on the Cross-Sectional Dispersion of Stock Prices -- 1 Introduction -- 2 Financial Variables that Reflect Fundamentals -- 3 Variation in Market Capitalization that Is Normalized by Fundamentals -- 4 Detecting Stock Market Bubbles: The Dot-com Bubble -- 5 Conclusions -- References -- Feasibility Study on Multi-agent Simulations of a Seasonal Influenza Epidemic in a Closed Space -- 1 Introduction -- 2 Epidemic Model for Seasonal Influenza -- 3 Simulation Preparation -- 3.1 Settings -- 3.2 Infection and State Change -- 3.3 Epidemic -- 4 Simulation Results -- 4.1 Review of the Average Infectivity Rate in the Classroom and Bedroom -- 4.2 Review of Class Schedule. , 4.3 Review of the Classroom Infectivity Rate -- 4.4 Calculation of the Infectivity Rate -- 4.5 Simulation Results for a Large Class Attended by All Students -- 4.6 Simulation Results for Multiplexed Infection -- 5 Discussion -- 6 Conclusion -- References -- Simultaneous Local Adaptation for Different Local Properties -- 1 Introduction -- 2 Differential Evolution -- 2.1 Basic Algorithm -- 2.2 Basic Strategies -- 3 JADE -- 3.1 Adapting Parameter -- 3.2 DE/current-to-p-best -- 4 LJADE -- 4.1 K-Nearest Neighborhood Based DE -- 4.2 Local Parameter Adaptation and Archive -- 5 Experimental Settings -- 5.1 Performance Results -- 5.2 Algorithm Comparison -- 6 Conclusion -- References -- Evaluation of Search Performance of Evolutionary Computation by Transfer Entropy -- 1 Introduction -- 2 Transfer Entropy -- 3 Experiments -- 3.1 Objective Functions -- 3.2 Genetic Algorithm -- 3.3 Results -- 4 Discussion -- 5 Conclusion -- References -- Sociophysics Approach of Simulation of Charismatic Person and Distrusted People in Society Using Opinion Dynamics -- 1 Introduction -- 2 Theory -- 2.1 Opinion Dynamics for Two Agents -- 2.2 Opinion Dynamics for 300 Agents -- 3 Results and Discussions -- 3.1 Model for Calculation -- 3.2 One Charismatic Person and One Distrusted Person -- 3.3 One Charismatic Person and Three Distrusted Persons -- 3.4 Discussion -- 4 Conclusion -- References -- Footstep Analysis for the Military Parade -- 1 Introduction -- 1.1 The Attributes of the Military Parade -- 1.2 The Current Issue of the Parade Training -- 1.3 The Quantitative Evaluation for the Military Parade -- 2 Proposed Method -- 2.1 The Background of the Tempo Analysis for the Military Parade -- 2.2 The Parade Skill from the Tempo Analysis -- 2.3 Tempo Analysis for the Footsteps -- 3 Experiment -- 4 Result -- 5 Conclusion -- References. , Sociophysics Theory for Conflict of Viewer Rating on Television Program.