Session Details
[A-18]安全・安心な生活とICT
Tue. Sep 10, 2024 1:45 PM - 4:45 PM JST
Tue. Sep 10, 2024 4:45 AM - 7:45 AM UTC
Tue. Sep 10, 2024 4:45 AM - 7:45 AM UTC
Building No.5 6F 5-602(Nippon Institute of Technology)
Chair:MUNENARI INOGUCHI, Nakano Keisuke
[A-18-07]Evaluation of communication performance by EC2 instance size
◎Keisuke Kitamura1, Mitsuki Ogawa2, Kippei Kasai2, Takahiro Koita2 (1. Doshisha University, 2. Graduate School of Doshisha University)
[A-18-08]On Route Aggregation for Car Sharing Using Epidemic Communication in Disasters
◎Keisuke Saito1, Kazuyuki Miyakita1, Keisuke Nakano1 (1. Niigata Univ.)
[A-18-09]A Consideration on Congestion Mitigation by Route Guidance Using Information Floating
◎Takuro Ikeda1, Kazuyuki Miyakita1, Keisuke Nakano1 (1. Niigata University)
[A-18-10]Efficient algorithm to assign MEC server with Graph theory
◎Shun Sasaki1, Hiroshi Tamura1 (1. Chuo Univ.)
[A-18-11]Probability of occurrence of the maximum number of colors in the Grundy coloring of the graph
◎Keita Suzuki1, Hiroshi Tamura1 (1. Chuo University)
Break time
[A-18-12]Evaluation of Japanese Drum Performance Producibility using CNN
◎Koki Kamiyama1, Hiroshi Tamura1 (1. Chuo University)
[A-18-13]Effects of plants condition by using 1/f fluctuation lighting on aquaponics system
◎Ryosuke Matsui1, Yuki Matsuyoshi1, Takeshi Kumaki1 (1. Ritsumeikan Univ.)
[A-18-14]A ResNet-based model for diagnosis of helicobacter pylori infection using gastric X-ray image
〇Xianfeng Fei1, Xiaoyong Zhang2 (1. Tohoku Bunka Gakuen Univ., 2. National Institute of Technology, Sendai College)
[A-18-15]Progression Prediction of Concrete Carbonation by Using Deep Learning
〇Katsuki Yamada1, Aoi Fukuoka1, Sorami Nonoyama1, Yoshimi Nozawa1, Takuya Ohata1, Taichi Hayasaka1 (1. National institute of Technology, Toyota College)
[A-18-16]Development of sensor gloves for the sports snow shoveling championship
〇Naohito Kimura1, Yusuke Murakami1, Makito Masuoka1, Hiroyuki Matsushiro2 (1. Hokkaido Univ.Sci., 2. Supoyuki Comm.)
[A-18-17]Study of Communicable Sounds for Noise-canceling Headphone Situation
◎Takuto Torigai1, Takeshi Kumaki2, Kyosuke Kageyama1 (1. Kindai University, 2. Ritsumeikan University)