Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
SRW, MICT, WBS |
2023-07-21 10:50 |
Niigata |
Niigata Univ. TOKIMATE (Primary: On-site, Secondary: Online) |
A Study on RSSI Prediction using LSTM Considering Inter-Channel Correlation in SmartBAN Taito Toda, Takahiro Ito, Masaaki Yamanaka, Hirokazu Tanaka (Hiroshima City Univ.) WBS2023-21 SRW2023-19 MICT2023-18 |
The demand for healthcare monitoring in daily life using wearable devices is increasing as a result of the shortage of d... [more] |
WBS2023-21 SRW2023-19 MICT2023-18 pp.37-42 |
CNR, BioX |
2023-03-02 11:30 |
Oita |
(Primary: On-site, Secondary: Online) |
A Study on Single Modal Ear Acoustic Personal Authentication System Sora Takagi (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) BioX2022-73 CNR2022-39 |
Biometric authentication requires the provision of the user's personal biometric information.Currently, the mainstream b... [more] |
BioX2022-73 CNR2022-39 pp.65-68 |
SS |
2022-03-08 14:00 |
Online |
Online |
Multiple Feature Analysis for Problem Recommendation in Online Judge System Noah Sembu, Erina Makihara, Ryota Shinhama, Keiko Ono (Doshisha Univ.) SS2021-64 |
The Online Judge System (OJS) contains a wide variety of problems, and it is difficult for users to select an optimum pr... [more] |
SS2021-64 pp.133-138 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 14:55 |
Online |
Online |
Interference Prediction for SmartBAN Channel Migration Using LSTM Takahiro Ito, Aoi Nakamae (Hiroshima City Univ.), Masaaki Yamanaka (Japan Coast Guard Academy), Hirokazu Tanaka (Hiroshima City Univ.) NLP2021-110 MICT2021-85 MBE2021-71 |
Healthcare monitoring using wearable sensors is attracting attention. SmartBAN, which is a communication standard for me... [more] |
NLP2021-110 MICT2021-85 MBE2021-71 pp.175-180 |
R |
2021-06-12 14:25 |
Online |
Online (Zoom) |
A Study on Dual-task VAE with Weibull distribution for RUL estimation and application to Aero-Propulsion System data Ryosuke Sato, Mitsuhiro Kimura (Hosei Univ.) R2021-12 |
Remaining Useful Life (RUL) is one of the most important assessment measures in reliability engineering.
Although sever... [more] |
R2021-12 pp.7-12 |
EE, IEE-HCA |
2021-05-27 09:25 |
Online |
Online |
LSTM-based Neural Network Model for Predicting Solar Power Generation Kundjanasith Thonglek, Kohei Ichikawa (NAIST), Kazufumi Yuasa, Tadatoshi Babasaki (NTT-F) EE2021-2 |
Currently, the most popular renewable energy is solar power which reduces pollution consequences from using conventional... [more] |
EE2021-2 pp.7-12 |
SeMI, IPSJ-MBL, IPSJ-UBI [detail] |
2021-03-01 10:25 |
Online |
Online |
Fall Detection Based on LSTM Using Accelerometer Yoshiya Uotani, Chen Ye, Kohei Yamamoto, Tomoaki Ohtsuki (Keio) SeMI2020-59 |
In recent years, the increase in fall accidents among the elderly has become a problem with the aging of the population.... [more] |
SeMI2020-59 pp.7-12 |
MBE, NC (Joint) |
2020-12-18 15:40 |
Online |
Online |
Time-delayed LSTM for historical time series Prediction Rin Adachi, Jun Rokui (Univ of Shizuoka) NC2020-30 |
The research which applies machine learning to the social time series prediction is actively carried out. Among them, ma... [more] |
NC2020-30 pp.13-18 |
ITS, WBS, RCC |
2020-12-15 13:50 |
Online |
Online |
Classification of pedestrians existing in visible or blind areas using Doppler radar
-- An Approach Using Long Short-Term Memory -- Sora Hayashi, Daiki Isobe (Ritsumeikan Univ.), Kenshi saho (Toyama Pref. Univ.), Masao Masugi (Ritsumeikan Univ.) WBS2020-29 ITS2020-25 RCC2020-32 |
In this report, the walking positions of pedestrians, whether they are directly visible from the observation point or in... [more] |
WBS2020-29 ITS2020-25 RCC2020-32 pp.121-125 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 11:35 |
Fukuoka |
Kyushu Institute of Technology (Cancelled but technical report was issued) |
Pedestrian trajectory prediction considering consistent movement of surrounding people Kei Horiuchi, Yoshihiro Maeda (Tokyo Univ. of Science), Daisuke Sugimura (Tsuda Univ.), Takayuki Hamamoto (Tokyo Univ. of Science) IMQ2019-18 IE2019-100 MVE2019-39 |
In this paper, we propose a pedestrian trajectory prediction method considering the consistent movement of surrounding p... [more] |
IMQ2019-18 IE2019-100 MVE2019-39 pp.23-26 |
CQ |
2018-07-20 13:50 |
Miyagi |
Tohoku Univ. |
Traffic Matrix Prediction based on Bidirectional Recurrent Neural Network and Long Short-Term Memory Van An Le, Phi Le Nguyen (Sokendai(The Graduate University for Advanced Studies)), Yusheng Ji (NII) CQ2018-40 |
Accurate prediction of the future network traffic plays an important role in various network problems (e.g. traffic engi... [more] |
CQ2018-40 pp.51-56 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:00 |
Okinawa |
|
[Poster Presentation]
Anomaly Detection by Reconstructing Features from Subsampled Audio Signals Yohei Kawaguchi (Hitachi) EA2017-161 SIP2017-170 SP2017-144 |
We aim to reduce the cost of sound monitoring for maintain machinery by reducing the sampling rate, i.e., sub-Nyquist sa... [more] |
EA2017-161 SIP2017-170 SP2017-144 pp.323-327 |
SIP |
2017-08-24 15:05 |
Tokyo |
Tokyo Denki University |
Anomaly Detection from Subsampled Audio Signal for Machine Diagnosis Yohei Kawaguchi, Takashi Endo (Hitachi) SIP2017-54 |
Low-cost sound monitoring is required for maintaining machinery. We aim to reduce the cost of monitoring by reducing the... [more] |
SIP2017-54 pp.33-38 |
PRMU |
2016-12-16 13:45 |
Tottori |
|
Eating and Drinking Recognition Considering Time Sequence from Head Directions and Joints Position in a Group Naoto Ienaga, Yuko Ozasa, Hideo Saito (Keio Univ.) PRMU2016-123 |
In this paper, we present a method to recognize eating and drinking in a group. Movements of head is small when we eat a... [more] |
PRMU2016-123 pp.53-58 |
SP |
2016-08-24 13:25 |
Kyoto |
ACCMS, Kyoto Univ. |
Daily Activity Recognition Based on Recurrent Neural Network Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2016-28 |
Our goal is to build an automatic surveillance system for elderly people and the core technique is daily activity recogn... [more] |
SP2016-28 pp.7-12 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2015-12-03 16:15 |
Aichi |
Nagoya Inst of Tech. |
[Invited Lecture]
EMNLP 2015 Report (3)
-- Recent Trends of Morphological Analysis -- Hajime Morita (Kyoto Univ.) NLC2015-40 |
This report introduces recent trends of morphological analysis and word segmentation in Conference on Empirical Methods ... [more] |
NLC2015-40 p.43 |