Outline of Program

Main Conference DAY1:
Nov. 1st (TUE)

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8:309:3010:30Keynote talk: Prof. Dr. Hideharu Amano (Keio University)
“SLMLET: a chip with embedded FPGA, RISC-V and HyperBus switch”
Chair: Midori Sugaya
9:3010:3011:30Opening Ceremony
9:5010:5011:50Lunch Break
10:5011:5012:50Oral Session A: Programming, Middleware and Scheduling
Chair: Yutaka Matsubara
– A1: A React Extension to Context-Oriented Programming towards Developing In-Vehicle Infotainment Systems
– A2: Chain-Aware Scheduling for Mixed Timer-Driven and Event-Driven DAG Tasks
– A3: Job Pipeline Mechanism of GPU node for Multi-node Edge Computing Systems (MEC)
– A4: hCT(high-resolution Callback Tracer): Design and implementation of fine-grained instrumentation of Node execution for ROS
– A5: DDS Binder: Optimizing Inter-node Communication in ROS 2
12:3013:3014:30Break
12:4013:4014:40Poster/Demo Session
Chair: Gabriele Trovato
14:1515:1516:15Invited talk: Prof. Yutaka Matsubara (Nagoya University)
“Toward Safe and Secure Embedded Devices: Research Trends and User-Centric Life Cycle Management”
Chair: Dujdow Buranapanichkit
15:0016:0017:00Special Session (Student discussion panel)
Design Thinking- Based Robot Challenge towards Innovative Systems and Services
Facilitator: Harumi Watanabe (Tokai University)
Yudai Asai (Shinshu University)
Keita Hagiwara (Shibaura Institute of Technology)
Naoya Kumagai (Shibaura Institute of Technology)
Yudai Yamada (Tokai University)
16:3017:3018:30Break
16:4517:4518:45Banquet & Award Ceremony
Chair: Chen Feng

Main Conference DAY2:
Nov. 2nd (WED)

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9:0010:0011:00Invited talk: Prof. Akihito Taya (Aoyama Gakuin University)
“Federated Learning: Privacy-preserving distributed machine learning in IoT”
Chair: Midori Sugaya
10:0011:0012:00Lunch Break
11:0012:0013:00Oral Session B: Machine Learning and Autonomous Driving
Chair: Peeraya Sripian
– B1: (WiP) Skip & Swap: Efficient Weight Spreading for Decentralized Machine Learning with Non-IID Data
– B2: Pothole Detection System (PoDS) with Computer Vision and Internet of Things (IoT)
– B3: Study on Relationship between reward of DQN model and vehicle’s behavior for autonomous vehicle
– B4: Development of Autonomous EV navigated with GNSS and 5G
– B5: Obstacle Avoidance System using 2D Lidar for Autonomous Vehicle
12:3513:3514:35Break
12:5013:5014:50Keynote talk: Dr. Chalee Vorakulpipat (NECTEC)
“Security Versus Usability: Comprehensive-Factor Authentication in Smart Factories”
Chair: Nattha Jindapetch
13:5014:5015:50Break
14:0015:0016:00Oral Session C: Robotics and Sensor Measurement and Analysis
Chair: Tipporn Laohakangvalvit
– C1: Coordinating ROS-based Robot Control Demonstrations with the Video Playback to Enhance E-learning
– C2: (WiP) Development of Visual SLAM algorithm in Dynamic environment
– C3: A study of model building methods for mental tasks using EEG
– C4: A prototype of multi-modal interaction robot based on emotion estimation method using physiological signals
– C5: (WiP) A study of a water quality evaluation for seabass culture in cages using data grouping techniques according to culturing areas
15:3016:3017:30Closing Ceremony

List of Poster Presentations

[Detailed program]

  • P01: Towards the Resource Management System for Heterogeneous Computing with Mixed FPGAs and GPGPUs
  • P02: Resolve the performance degradation due to cache misses on servers using I/O multiplexing model and thread pool techniques
  • P03: Implementation of a Fine-Grained Logging System for ROS2 Applications
  • P04: Development of a tool for automatic generation of multiple ROS2 nodes running on PYNQ
  • P05: Emotion Estimation ROS Components using Machine Learning Models for Therapy Robots
  • P06: xtUML-COP: xtUML modeling tool with COP extensions
  • P07: Evaluation of the Relationship between Comfortable Arousal and Driving Performance using Physiological Data
  • P08: Comparison of EEG wave features between EEG devices
  • P09: Development of Real-time Controlling of Zumo Robot Movement using Brainwave Sensor
  • P10: A Toy Robot with Changing Pupil Diameters by Interacting with Users’ Emotions Based on Their Heart Rates
  • P11: Path Finding and Traffic Simulation with Zumo Robot
  • P12: Compliant Control of Interaction in A KUKA Robot using A PID Controller
  • P13: Line-tracing Zumo Robot for Automatic Plant Watering
  • P14: About TPR’s new business development (Demonstration by TPR Co., Ltd.)