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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS, WBS, RCC | 2023-12-22 11:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
Asynchronous Multihop Wireless Network Control System Koki Yoshida, Koji Ishii (Kagawa Univ.)  WBS2023-51 ITS2023-34 RCC2023-45 |
A multi-hop control network (MHCN) has been proposed, wherein multiple controllers control multiple controlled ob-jects ... [more] | WBS2023-51 ITS2023-34 RCC2023-45 pp.117-122 |
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Liouvillian spectral analysis for dynamics of open quantum systems via dynamic mode decomposition Yuzuru Kato (FUN), Hiroya Nakao (Tokyo Tech) |
Dynamic mode decomposition (DMD) is a data-driven method for the estimation, prediction, and control of complex dynamica... [more] | |
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Sparse identification of quantum dynamics via quantum circuit learning Yusei Tateyama, Yuzuru Kato (FUN) |
Sparse Identification of Nonlinear Dynamics (SINDy) is a data-driven method for estimation and prediction of nonlinear d... [more] | |
| 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 |
| EMM | 2023-01-26 14:00 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Improving Frame Synchronization in Blind Speech Watermarking Method based on Spread-Spectrum using Linear Prediction Residue Takuto Isoyama (JAIST), Tetsuya Kojima (NIT, Tokyo College), Masashi Unoki (JAIST) EMM2022-66 |
We previously proposed a blindly-detectable direct-spread spectrum (DSS) method using linear prediction (LP) residue. Th... [more] | EMM2022-66 pp.26-31 |
| IT, RCS, SIP | 2023-01-25 10:00 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
Antenna Selection Method for Improving DoA Estimation Accuracy Naotaka Hirayama, Koichi Adachi (UEC) IT2022-51 SIP2022-102 RCS2022-230 |
This paper focuses on a position estimation method that does not require GNSS or infrastructure equipment and can be app... [more] | IT2022-51 SIP2022-102 RCS2022-230 pp.126-131 |
| IT, RCS, SIP | 2023-01-25 14:35 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
An Optimal Prediction on Multilevel Coefficient Linear Regression Model by Bayes Decision Theory and Its Approximation Method Kohei Horinouchi, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-67 SIP2022-118 RCS2022-246 |
It is common practice to apply Multilevel Analysis for the data sampled from various classes. In this Analysis, it is co... [more] | IT2022-67 SIP2022-118 RCS2022-246 pp.217-222 |
| MIKA (3rd) |
2022-10-13 11:10 |
Niigata | Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
UWB Indoor Navigation with Linear Prediction Ayato Nagaji, Tetsushi Ikegami (Meiji Univ) |
In this study, we proposed and compared methods to reduce positioning error due to multipath in ToA (Time of Arrival) po... [more] | |
| IBISML | 2022-09-15 14:00 |
Kanagawa | Keio Univ. (Yagami Campus) (Primary: On-site, Secondary: Online) |
Interpretable Model Combining statements and DNN Ryo Okuda, Yuya Yoshikawa (STAIR) IBISML2022-36 |
In this study, we propose a method that achieves both interpretability of Decision Tree and the prediction accuracy of D... [more] | IBISML2022-36 pp.25-30 |
| 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 |
| IT | 2022-07-22 13:50 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
An Efficient Algorithm for Optimal Decision on Piecewise Linear Regression Model by Bayes Decision Theory Noboru Namegaya, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-25 |
In this study, we propose a Beyes-optimal prediction method on a piecewise linear regression model by Bayes decision the... [more] | IT2022-25 pp.51-55 |
| IT | 2022-07-22 14:15 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
A Study on Multilevel Coefficient Linear Regression Model and an Optimal Prediction for Multilevel Data by Bayes Decision Theory Kohei Horinouchi, Naoki Ichijo, Taisuke Ishiwatari, Toshiyasu Matsushima (Waseda Univ.) IT2022-26 |
It is common practice to apply Multilevel Model (Linear Mixed Model, Hierarchical Linear Model) for the data sampled fro... [more] | IT2022-26 pp.56-60 |
| CAS, SIP, VLD, MSS | 2022-06-17 14:55 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
Construction of scoring probability model based on service landing location and ranking points in men's professional tennis matches Fumiya Shimizu, Eiji Konaka (Meijo Univ.) CAS2022-16 VLD2022-16 SIP2022-47 MSS2022-16 |
In tennis matches, service is regarded as the most important shot that affects the match outcome. The main objective of... [more] |
CAS2022-16 VLD2022-16 SIP2022-47 MSS2022-16 pp.84-89 |
| EMM | 2022-01-27 15:00 |
Online | Online | Speech Watermarking Approach for Securing Speaker Anonymization using McAdams Coefficients Candy Olivia Mawalim, Masashi Unoki (JAIST) EMM2021-88 |
Speaker anonymization aims to suppress speaker individuality to protect privacy in speech while preserving the other asp... [more] | EMM2021-88 pp.25-30 |
| RCS, SIP, IT | 2022-01-21 10:55 |
Online | Online | A lossless audio codec based on hierarchical residual prediction Taiyo Mineo, Shouno Hayaru (UEC) IT2021-71 SIP2021-79 RCS2021-239 |
In this study, we propose a novel lossless audio codec that has precise predictive performance from the neural network a... [more] | IT2021-71 SIP2021-79 RCS2021-239 pp.239-244 |
| SS, MSS | 2022-01-11 17:55 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Constructon of Real-Time Win Probability Model in B.LEAGUE Koji Sugie, Eiji Konaka (Meijo Univ.) MSS2021-45 SS2021-32 |
Recently, it is widely investigated that the construction of mathematical models calculating predicted win probability f... [more] | MSS2021-45 SS2021-32 pp.78-82 |
| EMM, EA, ASJ-H | 2021-11-15 13:30 |
Online | Online | [Poster Presentation]
Study on frame synchronization in spread-spectrum based speech information hiding method by using linear prediction residue Takuto Isoyama, Masashi Unoki (JAIST) EA2021-40 EMM2021-67 |
Our previous study proposed a blindly-detectable direct-spread spectrum (DSS) method using linear prediction (LP) residu... [more] | EA2021-40 EMM2021-67 pp.74-79 |
| EMM, EA, ASJ-H | 2021-11-16 09:00 |
Online | Online | [Poster Presentation]
Improvement of SNR in Nonlinear Distortion Correction for Sinusoidal Signals Using LSTM Kento Ikeda, Takahiro Yoshida (Tokyo Univ. of Science) EA2021-50 EMM2021-77 |
In recent years, neural networks have been applied to time-series acoustic signal processing, but nevertheless acoustic ... [more] | EA2021-50 EMM2021-77 pp.134-138 |
| SIS, ITE-BCT | 2021-10-07 11:40 |
Online | Online | Wireless Channel Prediction with Gaussian Process Yitu Wang (NTT), Takayuki Nakachi (former NTT), Takeru Inoue, Toru Mano, Kudo Riichi (NTT) SIS2021-12 |
With accurate knowledge of future Channel State Information (CSI), it becomes possible to better manipulate the wireless... [more] | SIS2021-12 pp.11-16 |
| MW, AP (Joint) |
2021-09-10 14:05 |
Online | Online | Evaluation of Moving Target Localization Accuracy Considering Linear Prediction of Channel Response and Target's Velocity Nobuyuki Shiraki, Naoki Honma, Kentaro Murata (Iwate Univ.), Takeshi Nakayama, Shoichi Iizuka (Panasonic) AP2021-65 |
In this paper, the localization accuracy of the moving target is evaluated by the method considering linear prediction o... [more] | AP2021-65 pp.47-52 |
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