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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Self-reported sentiment estimation with attention mechanism based on time-series physiological signals and word sequences Shun Katada, Shogo Okada (JAIST), Kazunori Komatani (Osaka Univ.) |
One of the main issues in the development of an adaptive dialogue system is to estimate a user's sentiment state in real... [more] | |
| RCC, ITS, WBS | 2022-12-14 14:05 |
Shiga | Ritsumeikan Univ. BKC (Primary: On-site, Secondary: Online) |
Analysis of Propeller Signal Intensity Fluctuation Based on Time Series Image of a Drone Using Millimeter-Wave MIMO Radar Kenshi Ogawa, Masashi Kurosaki, Ryohei Nakamura, Hisaya Hadama (NDA)  WBS2022-49 ITS2022-25 RCC2022-49 |
In recent years, drones have advanced rapidly and are widely used in society. However, along with their popular use, the... [more] | WBS2022-49 ITS2022-25 RCC2022-49 pp.83-88 |
| NLP | 2022-11-24 10:45 |
Shiga | (Primary: On-site, Secondary: Online) |
Quantifying the dynamical instability of complex time series based on information entropy Kota Shiozawa, Isao Tokuda (Ritsumeikan Univ.) NLP2022-57 |
Various methods based on information entropy have been proposed to quantify the complexity of time series. One of the mo... [more] | NLP2022-57 pp.5-8 |
| NLP | 2022-11-24 14:50 |
Shiga | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Hierarchical recurrence plot analysis for music waveform and MIDI as marked point process Miwa Fukino (Panasonic Holdings) NLP2022-64 |
A method for using recurrence plots (RPs) for music analysis is introduced. When analyzing music waveform data, one song... [more] | NLP2022-64 p.35 |
| NLP | 2022-11-25 15:15 |
Shiga | (Primary: On-site, Secondary: Online) |
Towards Defining Minimal Time Series Length for Normalized Recurrence Quantification Analysis Nina Sviridova, Tohru Ikeguchi (TUS) NLP2022-78 |
Estimating the minimal required time series length is an important problem in many applied studies. In our previous stud... [more] | NLP2022-78 pp.97-102 |
| SRW, SeMI, CNR (Joint) |
2022-11-25 09:55 |
Tochigi | Epinard Nasu (Primary: On-site, Secondary: Online) |
A Study of A Reaction Time Estimation Method for Badminton Players Based on Extreme Value Search for Short-Time Principal Components of Skeletal Information Kana Sagawa, Hidehiko Shishido, Masashi Suita, Itaru Kitahara (Tsukuba Univ.) CNR2022-17 |
In competitive sports where strategy is important, effective play and tactics at the moment of change in degree of domin... [more] | CNR2022-17 pp.11-16 |
| PRMU | 2022-10-21 10:45 |
Tokyo | Miraikan - The National Museum of Emerging Science and Innovation (Primary: On-site, Secondary: Online) |
Subspace based Anomaly Detection Takumi Kanai, Naoya Sogi (Univ. Tsukuba), Atsuto Maki (KTH), Kazuhiro Fukui (Univ. Tsukuba) PRMU2022-25 |
In this paper, we propose a change point detection method in time series data by incorporating the concept of difference... [more] | PRMU2022-25 pp.18-23 |
| SIP | 2022-08-25 14:15 |
Okinawa | Nobumoto Ohama Memorial Hall (Ishigaki Island) (Primary: On-site, Secondary: Online) |
Multiresolution Convolutional-Sparse-Coded Dynamic Mode Decomposition and Its Application to Riverbed State Estimation Eisuke Kobayashi, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka (Niigata Univ.) SIP2022-54 |
In this report, we propose a method that incorporates multi-resolution representation into Convolutional-Sparse-Coded Dy... [more] | SIP2022-54 pp.25-30 |
| SIP | 2022-08-26 10:48 |
Okinawa | Nobumoto Ohama Memorial Hall (Ishigaki Island) (Primary: On-site, Secondary: Online) |
Instantaneous linear dimensionality reduction for array signal processing Natsuki Ueno, Nobutaka Ono (TMU) SIP2022-65 |
Linear dimensionality reduction of time-series signals observed by a sensor array is often useful in balancing the accur... [more] | SIP2022-65 pp.81-85 |
| IN, CCS (Joint) |
2022-08-05 10:30 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Detecting causality for spike trains based on reconstructing dynamical system from inter-spike intervals Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) CCS2022-36 |
In this report, by modifying a nonlinear method of detecting causality, we propose a method of detecting causality for p... [more] | CCS2022-36 pp.48-53 |
| MI | 2022-07-09 10:30 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Non-rigid registration method for longitudinal chest CT images in Covid-19 Yuma Iwao (QST), Naoko Kawata, Yuki Segiguchi, Hideaki Haneishi (Chiba Univ) MI2022-41 |
In time series analysis of the lungs, a non-rigid registration method that compensates for differences in respiratory st... [more] | MI2022-41 pp.34-38 |
| DE | 2022-06-25 10:05 |
Tokyo | Musashino University (Primary: On-site, Secondary: Online) |
Time Series Analysis of Shapley Values in Machine-Learning Regression Kotaro Kuno, Yukari Shirota (GakushuinUniv) DE2022-1 |
In regression analysis of machine learning, Lundberg's SHAP and its libraries are widely used and have contributed great... [more] | DE2022-1 pp.1-6 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-19 09:00 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
Noise analysis of nonlinearly coupled circuits through power line Fumihiko Ishiyama (NTT) SIP2022-1 BioX2022-1 IE2022-1 MI2022-1 |
We are investigating countermeasure technique against electro-magnetic noise. We applied our method to the analysis of e... [more] | SIP2022-1 BioX2022-1 IE2022-1 MI2022-1 pp.1-6 |
| LOIS, ICM | 2022-01-28 11:00 |
Online | Online | [Invited Talk]
Structure of time-series motifs and its time evolution Makoto Imamura (Tokai Univ.) ICM2021-41 LOIS2021-39 |
Time series motifs are one of the fundamental tools to represent stereotyped repeated subsequences that reflect the cons... [more] | ICM2021-41 LOIS2021-39 pp.46-50 |
| PRMU | 2021-12-17 10:30 |
Online | Online | Automatic estimation of sleep state by multi-view video analysis Naoyuki Ebata, Shinya Fukumoto, Masayuki Kashima, Mutumi Watanabe, Hitoshi Sakimoto, Takanori Ishizuka, Masayuki Nakamura (Kagoshima Univ) PRMU2021-44 |
We have developed a method for estimating the stage of sleep by analyzing video from two viewpoints. One is to extract f... [more] | PRMU2021-44 pp.107-112 |
| PRMU | 2021-12-17 15:15 |
Online | Online | An LSTM-based prefetcher exploiting delta correlation Hiroki Taniai, Tomoki Nakamura, Toru Koizumi, Yuya Degawa, Hidetsugu Irie, Shuichi Sakai, Ryota Shioya (Tokyo Univ.) PRMU2021-53 |
Prefetching is one of the major hardware techniques to improve the execution performance of programs in modern processor... [more] | PRMU2021-53 pp.160-164 |
| DC | 2021-12-10 15:45 |
Kagawa | (Primary: On-site, Secondary: Online) |
Study on Detection Method of the Level Crossing Rod Breakage using the Machine Learning Hiroshi Shida (NESCO), Noriyuki Shiraishi (JR Shikoku), Hiroshi Takahashi (Ehime Univ) DC2021-62 |
The level crossing is the only part, which public road intersects a railroad. The level crossing rod is an important equ... [more] | DC2021-62 pp.38-43 |
| SWIM | 2021-11-27 14:10 |
Online | Online | Studies of maximum electricity forecasting model including electricity market price
-- Time series analysis with extra regressors added -- Hiroyuki Ogura (Nihon Univ.), Shunsuke Managi (Kyushu Univ.) SWIM2021-27 |
As one of the solutions to the difficult problem of achieving both stable electricity supply and decarbonization, improv... [more] | SWIM2021-27 pp.7-14 |
| MBE, NC (Joint) |
2021-10-29 11:15 |
Online | Online | Visualization and quantification of the difficulty of combinatorial optimization problems in Ising formulation Keiichi Soejima (Saitama Univ.), Makiko Konoshima, Hirotaka Tamura (Fujitsu), Jun Ohkubo (Saitama Univ.) NC2021-25 |
With the aim of rapidly solving combinatorial optimization problems, dedicated hardware using the Ising Model is being d... [more] | NC2021-25 pp.40-45 |
| NLP, CCS | 2021-06-11 10:50 |
Online | Online | A Study on Prediction of Synchrophasor Time-Series Data of In-Campus Distribution Voltage Using Gaussian Process Regression Munetaka Noguchi (Osaka Pref Univ.), Yoshihiko Susuki (Osaka Pref Univ./JST), Atsushi Ishigame (Osaka Pref Univ.) NLP2021-3 CCS2021-3 |
Due to recent penetration of distributed energy resources, dynamics of power distribution systems have been complicated ... [more] | NLP2021-3 CCS2021-3 pp.10-13 |
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