Session Details
[A-8]信号処理
Tue. Mar 5, 2024 1:45 PM - 5:00 PM JST
Tue. Mar 5, 2024 4:45 AM - 8:00 AM UTC
Tue. Mar 5, 2024 4:45 AM - 8:00 AM UTC
School of Integrated Arts and Sciences K313(HIROSHIMA UNIVERSITY Higashi-Hiroshima campus)
Chair:Nakachi Takayuki, Nishikawa Kiyoshi
[A-8-01]Myocardial infarction site determination based on optical flow analysis
○Norika Sasaki1, Nari Tanabe1, Junya Aoyama2, Yasup Miyagi3 (1. Suwa University of Science, 2. Havard University, 3. Nippon Medical School Hospital)
[A-8-02]Myocardial infarction determination with contractility force analysis
○Kohei Oe1, Norika Sasaki1, Nari Tanabe1, Junya Aoyama2, Yasuo Miyagi3 (1. Suwa University of Science , 2. Harvard University, 3. Nippon Medical School Hospital)
[A-8-03]The infant’s bowel sounds at the start of lactation are used to predict the daily diaper change frequency and assess bowel conditions
○Saya Mukaiyama1, Nari Tanabe1 (1. Suwa University of Science)
[A-8-04]Detection of respiratory disease in pigs using Perceiver
○Daisuke Tanaka1, Yura Nishihara1, Yuki Matoba2, Shunsuke Ishimitsu2, Natsumi Okada2, Seiji Yumoto2, Osamu Mikami3, Yosuke Ogawa3, Hiroaki Inoue3, Mitsuyoshi Ishida3 (1. National Institute of Technology (KOSEN), Niihama College, 2. Hiroshima City University, 3. National Agriculture and Food Research Organization)
[A-8-05]A consideration on breath counting method using object detection algorithm.
○Nanami Imaizumi1, Hutoshi Oyama2, Hiroki Matsumoto1 (1. Maebashi Institute of Technology, 2. Tokai Univ.)
[A-8-06]Conversation method using the simple electroencephalogram
○Yuna Ebinuma1, Matsumoto Hiroki1 (1. Maebashi Institute of Technology)
Break time
[A-8-07]Prediction of defective product transitionin Custom-made EV resistance factories by LSTM-type time series data prediction
○Yuma Shirota1, Kosuke Kamijo1, Nari Tanabe1, Aya Ishigaki2 (1. Suwa University of Science, 2. Tokyo University of Science)
[A-8-08]Production volume prediction in merged line-type plant Based on AdaBoost.RT type ensemble SVR
○Kosuke Kamijo1, Nari Tanabe1, Aya Ishigaki2 (1. Suwa University of Science, 2. Tokyo University of Science)
[A-8-09]Production number prediction by machine operation state using ensemble learning of cell type system
○Shuhei Aoyama1, Shunta Ohno1, Nari Tanabe1, Aya Ishigaki2 (1. Suwa University of Science, 2. Tokyo University of Science)
[A-8-10]Priority delivery date rolling schedule based on operating conditions
○Yuya Takeshima1, Yoshito Nakazawa1, Nari Tanabe1, Aya Ishigaki2 (1. Suwa University of Science, 2. Tokyo University of Science)
[A-8-11]A discussion of machine learning algorithms for determining defects on walls by hammering test support system with wall-running robot
○Anju Fukui1, Nari Tanabe1 (1. Suwa University of Science)
[A-8-12]A method for removing music from environmental sounds containing music using machine learning
○Hyuga Hagiwara1, Tomomi Ogawa2, Hiroki Matsumoto1 (1. Maebashi Institute of Technology, 2. Tokyo Denki University)