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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 17 of 17  /   
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
 Results 1 - 17 of 17  /   
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