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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 192  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] 2024-06-20
14:20
Okinawa OIST Anomaly Detection in the Frequency Domain with Statistical Reliability
Akifumi Yamada, Kouichi Taji (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN)
(To be available after the conference date) [more]
NLP, MSS 2024-03-13
13:55
Misc. Kikai-Shinko-Kaikan Bldg. Improvement of the Inception Module in TimesNet for Time Series Forecasting
Sayaka Tanaka, Masato Shirai (Shimane Univ.) MSS2023-77 NLP2023-129
In recent years, time series forecasting has been actively researched. Time series prediction uses the continuity and pe... [more] MSS2023-77 NLP2023-129
pp.35-37
NC, MBE
(Joint)
2024-03-11
11:15
Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)
Discrimination between dementia groups and healthy elderlies based on time-series variations of functional connectivity
Chisho Takeoka, Toshimasa Yamazaki (KIT), Yoshiyuki Kuroiwa, Kimihiro Fujino, Toshiaki Hirai (Teikyo), Hidehiro Mizusawa (NCNP) MBE2023-70
Alzheimer’s disease is the most famous dementia in the world. Electroencephalography (EEG), which is excellent at time r... [more] MBE2023-70
pp.9-12
SeMI, IPSJ-UBI, IPSJ-MBL 2024-02-29
15:50
Fukuoka   Development and Evaluation of the Water Flow Prediction Model for Remote Control of Sluice Gates in the Onga River
Takahiro Ueno (Fukuoka Univ.), Koki Ozono (AJP), Masayoshi Ohashi (Fukuoka Univ.) SeMI2023-77
Our laboratory is engaged in the research and development of a system for the remote control and monitoring of sluice ga... [more] SeMI2023-77
pp.37-41
SeMI, IPSJ-UBI, IPSJ-MBL 2024-03-01
10:10
Fukuoka   A PoI Localization Method using Time-series SNS Posts with Photos
Kohei Sawano (NAIST), Yuki Matsuda (NAIST/RIKEN AIP), Hiroki Ouchi (NAIST), Hirohiko Suwa, Keiichi Yasumoto (NAIST/RIKEN AIP) SeMI2023-80
In recent years, with the easing of COVID-19 movement restrictions, there has been a trend towards the recovery of touri... [more] SeMI2023-80
pp.54-59
ICTSSL, CAS 2024-01-25
09:55
Kanagawa
(Primary: On-site, Secondary: Online)
A Note on Prediction Method for Road Surface Condition by LSTM Using Time Series Data in Winter Roads
Kenta Motosaka, Kota Uenishi, Masahiro Yagi, Sho Takahashi, Toru Hagiwara (Hokkaido Univ.) CAS2023-83 ICTSSL2023-36
In snowy and cold regions, road surfaces change with snowfall, causing traffic accidents. If the road administrator ca... [more] CAS2023-83 ICTSSL2023-36
pp.5-10
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-25
09:20
Tokushima Naruto University of Education Nonlinear analysis of vocal fold polyp data using recurrence plots
Takuro Hirose, Kota Shiozawa, Isao Tokuda (Ritsumeikan Univ.), Miwa Fukino (Panasonic Holdings Corporation), Yoshiharu Soeta, Masanori Shiro (AIST) NLP2023-100 MICT2023-55 MBE2023-46
Vocal fold oscillations can be regarded as nonlinear dynamics. Under certain circumstances, e.g., voice pathology or sin... [more] NLP2023-100 MICT2023-55 MBE2023-46
pp.82-85
NLP 2023-11-28
11:15
Okinawa Nago city commerce and industry association Dynamics of Reservoir in Echo State Network
Shion Yoshida, Tohru Ikeguchi (TUS) NLP2023-62
Reservoir computing is one of the frameworks for machine learning for fast and highly accurate analysis of time series a... [more] NLP2023-62
pp.15-20
NLP 2023-11-28
13:00
Okinawa Nago city commerce and industry association Recurrence quantification analysis on electroencephalographic (EEG) potentials of epileptic seizure
Makoto Sekiguchi, Tohru Ikeguchi (TUS) NLP2023-63
In this report, we analyze the characteristics of electroencephalographic (EEG) potentials of healthy individuals and ep... [more] NLP2023-63
pp.21-26
ICM, NS, CQ, NV
(Joint)
2023-11-22
09:00
Ehime Ehime Prefecture Gender Equality Center
(Primary: On-site, Secondary: Online)
Evaluation of Improvement Plans to Increase the Efficiency of Performance Data Transfer for Server Systems
Chika Iiyama (Ocha Univ.), Akira Hirai, Mari Yamaoka, Naoto Fukumoto (Fujitsu), Masato Oguchi (Ocha Univ.) NS2023-117
In recent years, demand for shared use of multiple servers has been increasing. In order to perform load balancing on th... [more] NS2023-117
pp.38-43
SANE 2023-11-13
14:55
Chiba Chiba Univ. (Nishi-Chiba Campus)
(Primary: On-site, Secondary: Online)
comparison of time series analysis methods of SAR interferograms in 3D deformation estimation
Ryunosuke Nakamura, Akira Hirose, Ryo Natsuaki (Utokyo) SANE2023-56
SAR (Synthetic Aperture Radar) transmits microwave to the ground and receives the scattered signals using antenna loaded... [more] SANE2023-56
pp.52-57
RISING
(3rd)
2023-10-31
14:00
Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] Development and Evaluation of Location Tracking System for Investigating the Influence of Well-being on Family Members' Staying Time in the Same Room
Taiki Egusa (Osaka City Univ.), Yoshihiro Nakaso, Yui Ogawa, Manato Fujimoto, Shingo Ata (Osaka Metropolitan Univ.)
It is important to understand the time spent in the same room by family members in order to obtain new knowledge that ca... [more]
NC, MBE
(Joint)
2023-10-28
11:10
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
Multi-step ahead time series prediction based on hierarchical reservoir computing with multiple memory capacity.
Wenkai Yu, Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato (Tohoku Univ) NC2023-30
Reservoir computing has proven to be an efficient model in many areas, such as time series prediction. However, multi-st... [more] NC2023-30
p.24
NS 2023-10-05
13:25
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
[Invited Lecture] IoT Device Identification based on Traffic Pattern Analysis with Two-stage Clustering
Mizuki Asano, Takumi Miyoshi, Taku Yamazaki (Shibaura Inst. Tech.) NS2023-90
In recent years, the realization of smart homes, which will provide more effective and comfortable lifestyles by leverag... [more] NS2023-90
pp.105-110
IA 2023-09-21
14:40
Hokkaido Hokkaido Univeristy
(Primary: On-site, Secondary: Online)
Extracting context from external events using auxiliary information from network traffic data
Eilaf M.A Babai, Koji Okamura (Kyushu Univ.) IA2023-13
Network traffic flow data is the main source of information about the network status, and it is constantly monitored to ... [more] IA2023-13
pp.11-18
DE 2023-06-16
08:50
Tokyo Musashino University
(Primary: On-site, Secondary: Online)
Analysis of Impact of Interest Rate Hikes on U.S. Industry Market Capitalization -- Time Series Data Analysis by Amplitude-based Clustering --
Saki Takabatake, Yukari Shirota (Gakushuin Univ.) DE2023-1
The U.S. Federal Reserve Board (FRB) has been raising the Federal Funds Rate (FF Rate), since March 2022 for price stabi... [more] DE2023-1
pp.1-6
WIT 2023-06-16
16:15
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
Proposing a Feature-Analysis Method of Finger-Movement Data for Predicting Cognitive Function of Elderly People
Hayato Seiichi, Sinan Chen, Atsuko Hayashi, Masahide Nakamura (Kobe Univ.) WIT2023-6
In recent years, a growing body of research has suggested a relationship between cognitive function and manual dexterity... [more] WIT2023-6
pp.30-35
SANE 2023-05-23
11:40
Kanagawa Information Technology R & D Center, MITSUBISHI Electric Corp.
(Primary: On-site, Secondary: Online)
NDVI prediction with SAR data using time series features
Raiki Kudo (UTokyo), Seiseke Fukuda (JAXA) SANE2023-7
The Normalized Difference Vegetation Index (NDVI) is used to determine the growth of crops, the condition of cultivated ... [more] SANE2023-7
pp.36-41
CCS 2023-03-26
10:35
Hokkaido RUSUTSU RESORT Acquisition of physical kinetics of machines by reservoir computing
Sena Kojima, Koki Minagawa, Taisei Saito, Tetsuya Asai (Hokkaido Univ.) CCS2022-67
This report focuses on an anomaly detection application of a machine’s dynamical system using reservoir computing. We pr... [more] CCS2022-67
pp.25-30
NLP, MSS 2023-03-15
10:40
Nagasaki
(Primary: On-site, Secondary: Online)
Spectral analysis of synchropahsor data in a campus distribution grid: Comparison of numerical methods
Munetaka Noguchi (Osaka Prefecture Univ.), Yoshihiko Susuki (Kyoto Univ.), Atsushi Ishigame (Osaka Metropolitan Univ.) MSS2022-64 NLP2022-109
Recently, the so-called micro-Phasor Measurement Unit (μPMU) with high-resolution capability has been expected as a new ... [more] MSS2022-64 NLP2022-109
pp.11-16
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