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The 39th International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC 2024) Participation Report

ITC-CSCC 2024 was held on July 2nd – 5th, 2024, at the Okinawa Institute of Science and Technology Graduate University (OIST) in Okinawa, Japan.

ITC-CSCC 2024 is an international conference covering the areas of Circuit Design, System Designs, Computer Systems and Communication Networks, with participants primarily from Korea, Thailand, and Japan.

We gave the following presentations.

SS-5 Signal Processing for Sensing Applications, Date: July 4, 2024

  • Phonepaserth Sisaykeo1, Hiroyasu Yasuda1, Kiyoshi Hayasaka1 and Shogo Muramatsu1 (1. Niigata University) :  FLOW-PATH FITTING FROM IMAGES WITH SUPPORT VECTOR REGRESSION FOR RIVER HEALTH ASSESSMENT

Poster III, Date: July 4, 2024

  • Ryuto Ito1, Tsubasa Naito1, Hiroyasu Yasuda1, Masaaki Nagahara2 and Shogo Muramatsu1 (1. Niigata Univ., 2. Hiroshima Univ.) :  SPARSE-CODED TIME-DELAY GRAPH DMD FOR PREDICTION OF RIVER WATER LEVEL DISTRIBUTION

Both presentations were well-received by the conference attendees, sparking insightful discussions and potential collaborations. Our participation in ITC-CSCC 2024 has been a valuable opportunity to share our research findings, gain feedback, and network with experts in the field.

We look forward to future engagements and contributions to the ITC-CSCC community.

 

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GSAL2024 Participation Report

GSAL2024 (Graph Signal Analysis & Learning Mini-Workshop) was held at Nakanoshima Center, Osaka University from July 17 (Wed) to 19 (Fri), 2024.

We gave the following presentation.

〇Tsubasa NAITO1， Ryuto ITO1， Yuichi TANAKA2， Shogo MURAMATSU1 (1. Niigata Univ.，2. Osaka Univ.) : DICTIONARY LEARNING FOR DIRECTED GRAPH SIGNALS VIA AUGMENTED GFT

Through the presentation, we were able to have heated discussions with professors specializing in the field of graph signal processing and learned that our research is attracting attention from researchers at other universities.

It was a valuable and stimulating experience to attend various presentations on graph signal processing.

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Paper Published in IAPSIPA Transactions on Signal and Information Processing

The following paper has been published in APSIPA Transactions on Signal and Information Processing (Q1: Information Systems).

It is a result of Grant-in-Aid for Scientific Research (A) “(JP22H00512) Locally Structured Unitary Networks and Tangent Space Learning for Dynamic Systems Modeling”.

It is Open Access. The source code is available at Code Ocean.

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