Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AP |
2024-03-15 10:25 |
Fukui |
UNIVERSITY OF FUKUI (Primary: On-site, Secondary: Online) |
A Study on Path loss characteristics estimation methods considering geographical conditions for designing narrowband DR-IoT communication system Takato Ikegame, Naoki Ikeda, Motonari Imai, Tetsushi Ikegami (Meiji Univ.), Mineo Takai (Osaka Univ.), Susumu Ishihara (Shizuoka Univ.), Arata Kato, Shugo Kajita (STE) AP2023-212 |
A versatile variable-range IoT communication system using the VHF-High band, Diversified-Range IoT (DR-IoT) is being con... [more] |
AP2023-212 pp.63-67 |
SeMI |
2024-01-18 13:30 |
Yamanashi |
Raki House Kaiji |
Enhancing Human Skeleton Estimation with Multi-Frame mmWave Radar Point Cloud-based Method Xintong Shi, Tomoaki Ohtsuki (Keio Univ.) SeMI2023-52 |
Millimeter-Wave (mmWave) radar-based skeleton estimation has emerged as a focal point in the realm of human motion analy... [more] |
SeMI2023-52 pp.18-21 |
NLP |
2023-11-28 13:50 |
Okinawa |
Nago city commerce and industry association |
Considerations on the distribution of latent variables in CNNs Mizuki Dai, Kenya Jin'no (Tokyo City Univ.) NLP2023-65 |
Abstract Fully comprehending the output decision mechanisms of neural networks is a critical challenge. This article foc... [more] |
NLP2023-65 pp.31-34 |
SCE |
2023-10-31 10:00 |
Miyagi |
RIEC, Tohoku Univ. (Primary: On-site, Secondary: Online) |
Design of a Modularized Circuits Library for Binary Convolutional Neural Network Accelerator using Single Flux Quantum Circuits Zeyu Han, Zongyuan Li, Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama National Univ.) SCE2023-17 |
To implement a binary neural network (BNN) based on SFQ circuits, we designed a modularized circuits library based on th... [more] |
SCE2023-17 pp.26-31 |
BioX |
2023-10-12 15:25 |
Okinawa |
Nobumoto Ohama Memorial Hall |
A Study on Ear Acoustic Personal Authentication System Using Domain Transformation for Numerical Analysis Data Masafumi Morimoto (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) BioX2023-60 |
We propose a new personal authentication system using ear pinna transfer functions.
This proposed method is constructe... [more] |
BioX2023-60 pp.12-15 |
CAS, CS |
2023-03-01 09:30 |
Fukuoka |
Kitakyushu International Conference Center (Primary: On-site, Secondary: Online) |
Modification and Comparison of Learning Sudoku with Convolutional Networks Koichiro Ishii, Hiroshi Tamura (Chuo Univ.) CAS2022-96 CS2022-73 |
Sudoku is a logic puzzle in which the number between 1 and 9 is to fill in the boxes of the 9x9 grid by using the number... [more] |
CAS2022-96 CS2022-73 pp.1-5 |
MBE, NC |
2022-12-03 11:00 |
Osaka |
Osaka Electro-Communication University |
Image Classification Using Gabor Filters as Preprocessing for CNNs Akito Morita, Hirotsugu Okuno (OIT) MBE2022-32 NC2022-54 |
Image preprocessing is a promising approach to improve accuracy in image classification using convolutional neural netwo... [more] |
MBE2022-32 NC2022-54 pp.43-46 |
RECONF |
2022-06-08 15:25 |
Ibaraki |
CCS, Univ. of Tsukuba (Primary: On-site, Secondary: Online) |
A Compact High-Speed CNN Implementation based on Redundant Computational Analysis and FPGA Acceleration Li Qi, Li Hengyi, Meng Lin (Ritsumeikan Univ.) RECONF2022-21 |
Convolutional Neural Networks (CNNs) have achieved high performance and are widely used in various applications. However... [more] |
RECONF2022-21 pp.89-94 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 10:10 |
Online |
Online (Zoom) |
A study on player and ball tracking in tennis videos. Kosuke Matsumoto (Kobe univ.), Junki Tamae (iret), Nobutaka Kuroki (Kobe univ.), Kensuke Hirano (iret), Masahiro Numa (Kobe univ.) IMQ2021-16 IE2021-78 MVE2021-45 |
This paper proposes a player and ball tracking method in tennis videos with image processing techniques. The proposed me... [more] |
IMQ2021-16 IE2021-78 MVE2021-45 pp.33-38 |
RCS, NS (Joint) |
2021-12-17 14:05 |
Nara |
Nara-ken Bunka Kaikan and Online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Performance evaluation on QoS Prediction between Terminals and Access Points Using Convolutional Neural Network Hiroya Ono, Yuki Sakaue, Satoshi Narikawa (NTT) NS2021-108 RCS2021-191 |
Recent mobile terminals have been able to choose from multiple connection options, and optimally accommodating them to e... [more] |
NS2021-108 RCS2021-191 pp.59-64(NS), pp.82-87(RCS) |
MI, MICT [detail] |
2021-11-05 10:25 |
Online |
Online |
Performance Improvement of Alzheimer's Disease Identification Using Cognitive Function Test Scores Daiki Endo, Koichi Ito, Takafumi Aoki (Tohoku Univ.) MICT2021-31 MI2021-29 |
As the population ages, the prevalence of Alzheimer’s disease (AD) is expected to increase. AD causes progressive brain ... [more] |
MICT2021-31 MI2021-29 pp.17-21 |
EMT, IEE-EMT |
2021-11-05 11:15 |
Online |
Online |
Quaternion convolutional neural networks for PolSAR land classification Yuya Matsumoto, Ryo Natsuaki, Akira Hirose (UTokyo) EMT2021-43 |
We propose a quaternion convolutional neural network (QCNN) for Polarimetric synthetic aperture radar
(PolSAR) land cla... [more] |
EMT2021-43 pp.76-81 |
RECONF |
2021-09-10 10:20 |
Online |
Online |
Convolutional neural network implementations using Vitis AI Akihiko Ushiroyama, Nobuya Watanabe, Akira Nagoya, Minoru Watanabe (Okayama Univ.) RECONF2021-19 |
Recently, Xilinx provides an FPGA-based Vitis AI development environment which is one of deep learning frameworks to acc... [more] |
RECONF2021-19 pp.13-18 |
CS |
2021-07-16 09:40 |
Online |
Online |
Joint Transmit Power and Beamforming Control based on Unsupervised Machine Learning for MIMO Wireless Communication Networks Naoto Tamada, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech) CS2021-29 |
In mobile communications, densely deployed cell systems are expected to improve the system capacity drastically. However... [more] |
CS2021-29 pp.63-68 |
CCS |
2021-03-29 15:40 |
Online |
Online |
A 3DCNN with Reduced Parameters Using Depthwise Separable Convolution Koki Ito, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2020-27 |
Convolutional Neural Networks (CNNs) have been used in various fields such as image and speech. In recent years, CNNs ha... [more] |
CCS2020-27 pp.37-41 |
NC, MBE (Joint) |
2021-03-03 13:00 |
Online |
Online |
Hybrid Sparsity in Convolutional Neural Networks Shoma Noguchi, Yukari Yamauchi (Nihon Univ.) NC2020-46 |
Convolutional neural networks (CNNs) have achieved high accuracy in areas such as image classification and object detect... [more] |
NC2020-46 pp.21-24 |
NC, MBE (Joint) |
2021-03-04 16:25 |
Online |
Online |
Hierarchical Feature Extraction for Dynamic Q-Network Taishi Komatsu, Yukari Yamauchi (Nihon Univ.) NC2020-62 |
Recently, Convolutional Neural Networks (CNN), which have been successful in the field of image recognition, use a hiera... [more] |
NC2020-62 pp.112-116 |
MBE, NC (Joint) |
2020-12-18 14:50 |
Online |
Online |
Super resolution for sea surface temperature with CNN and GAN Tomoki Izumi, Motoki Amagasaki, Kei Ishida, Masato Kiyama (Kumamoto Univ.) NC2020-28 |
In this paper, we use the deep neural networks (DNN)-based single image super-resolution (SISR) method for the super res... [more] |
NC2020-28 pp.1-6 |
DC |
2020-12-11 13:40 |
Hyogo |
(Primary: On-site, Secondary: Online) |
Study of Deep Learning based Object Detection for Automatic Train Operation in Railways Shiva Krishna Maheshuni (UTokyo), Shimura Takahiro, Yabuki Kohei, Hasegawa Takumi (Kyosan Electric Mfg), Takeshi Mizuma (UTokyo) DC2020-61 |
Real time object detection is already being implemented in systems like autonomous driving in cars, surveillance Cameras... [more] |
DC2020-61 pp.12-17 |
PRMU |
2020-10-09 11:00 |
Online |
Online |
Examination of data preprocessing in functional MRI image analysis using CNN Yuta Hosoi (Niigata Univ.), Takafumi Hayashi (Nihon Univ) PRMU2020-22 |
fuctional MRI(fMRI) has been used in various fields from medicine and neuroscience to psychology andlinguistics since it... [more] |
PRMU2020-22 pp.20-25 |