First-year Master's student Yui Maruyama presented research at IEEE SECON 2024 (21st Annual IEEE International Conference on Sensing, Communication, and Networking), held in Phoenix, Arizona from December 2-4, 2024.
IEEE SECON is an IEEE international conference where researchers share their findings in wireless networks, mobile systems, and IoT. With its focus on experimental evaluation and interdisciplinary research, the 2024 main track had an acceptance rate of 25.5% with 38 papers presented.
The presented paper was titled:
- "Scalable and Distributed Optimization of Shared 3D Object Quality for Large-Scale Hybrid-Metaverses"
- Authors: Yui Maruyama, Tatsuya Amano, Hirozumi Yamaguchi
The research addresses quality optimization of 3D objects in hybrid metaverse environments that integrate physical and virtual spaces. The proposed distributed optimization method maximizes user satisfaction within limited network bandwidth, achieving up to 60% faster convergence compared to conventional approaches.
For more information about the conference, please visit: https://secon2024.ieee-secon.org/