Author Archives: Reona Kumaki

IEICE Hokkaido Section Student Council Internet Symposium 2023

Mr. Kumaki, and Mr. Hirai presented their papers at IEICE Hokkaido Section Student Council Internet Symposium 2023, which was held online on Feb. 24th – Mar. 2nd.

  • Kota Hirai, Hiroshi Tsutsui, Takeo Ohgane, “A Feasibility Study on Power Consumption Reduction of IoT Devices for Environmental Monitoring Systems Based on Long Sensing Intervals and Its Prototype Evaluation,” IEICE Hokkaido Section Student Council Internet Symposium, Feb. 2023 (in Japanese).
  • Reona Kumaki, Hiroshi Tsutsui, Takeo Ohgane, “A Structure Parameter Comparison of Fully Connected Neural Networks for Decoding Short Length Polar Codes,” IEICE Hokkaido Section Student Council Internet Symposium, Feb. 2023 (in Japanese).

Technical meeting with UTS professors

On March 1(Wed.), Prof. Eryk Dutkiewicz and Prof. Negin Shariati Moghadam from the University of Technology Sydney (Sydney, Australia) visited our lab, and we had a technical meeting.
Some of our lab members participated in the meeting and presented of their research.

Introduction of Media Network Course for Freshmen (Feb. 2023)

On February 8 (Wed.), the second course introduction for freshmen was held. We participated in that introduction as part of the Media Network Course, and gave a panel presentation and a demonstration using the USRP to freshmen.

Master’s Thesis Defense JFY 2022

On Feb. 6, the master’s thesis defense in Graduate School of Information Science and Technology was held by online. From our laboratory, the following master theses were presented.

  • Shingo Kato, CNN-LSTM Based Phrase Speech Recognition and Its System Implementation Using a Single-board AI Computer, Graduate School of Information Science and Technology, Hokkaido University, Master’s Thesis, Feb. 2023.
  • Takashi Mishima, Video Conferencing Recordings Automatic Editing System Using Silence Part Removal Based on Audio Signal Analysis, Graduate School of Information Science and Technology, Hokkaido University, Master’s Thesis, Feb. 2023.
  • Reona Kumaki, Fully Connected Neural Networks for Decoding Short Length Polar Codes and Its Evaluation, Graduate School of Information Science and Technology, Hokkaido University, Master’s Thesis, Feb. 2023.

Bachelor’s Thesis Presentations JFY 2022

On Jun. 31, four undergraduate students made presentations of the following bachelor’s theses by online.

  • Kota Hirai, A Feasibility Study on Energy Consumption Reduction of IoT Devices for Environmental Monitoring Systems in Food Supply Chains, Department of Electronics and Information Engineering, Hokkaido University, Bachelor’s Thesis, Jan. 2023.
  • Yuki Saito, An Energy Consumption Evaluation for Parameter Optimization in LoRa Modulation Under Different Coding Rates, Department of Electronics and Information Engineering, Hokkaido University, Bachelor’s Thesis, Jan. 2023.
  • Seunghun Jeon, A Feasibility Study of Human Motion Prediction Using Kinect and Artificial Neural Networks, Department of Electronics and Information Engineering, Hokkaido University, Bachelor’s Thesis, Jan. 2023.
  • Kenshiro Tanaka, A Feasibility Study on Visualization of Location Tracking and Environmental Monitoring Using IoT Devices in Mobile Communication Networks, Department of Electronics and Information Engineering, Hokkaido University, Bachelor’s Thesis, Jan. 2023.

RCS Conference and IEICE RCS Presentation Award for Young Researcher

Mr. Kumaki presented his research in a hybrid online format at the January 2023 Wireless Communication Systems Workshop held at Maebashi Terrsa (Maebashi, Gunma) on January 24-25. This presentation is a fundamental study on decoding of short code length Polar codes using neural networks.

  • Reona Kumaki, Hiroshi Tsutsui, Takeo Ohgane, “A Fundamental Study on Decoding Short Length Polar Codes by Deep Learning,” IEICE Technical Report, Vol. 122, No. 357(RCS), pp. 132-135, IT2022-52, SIP2022-103, RCS2022-231, 24-25 Jan. 2023 (in Japanese).

His presentation won the IEICE RCS Presentation Award for Young Researcher.