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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AP, WPT (Joint) |
2022-01-21 14:05 |
Tottori | Kenmin-Fureai-Kaikan (Primary: On-site, Secondary: Online) |
Introduction of LSTM in non-contact heart rate estimation using Doppler radar Kasumi Fujita, Naoto Sasaoka, Moushumi Tazen, Yoshiharu Okamoto (Tottori Univ.)  AP2021-152 |
In recent years, non-contact heart rate measurement using a Doppler radar, which places an extremely low burden on the m... [more] | AP2021-152 pp.98-103 |
| ICSS | 2021-11-30 09:55 |
Kochi | KOCHIJYO HALL (Primary: On-site, Secondary: Online) |
Comparison of CNN padding method using a part of malware API call sequence data with RNN. Shugo Asai, Yuichi Futa (TUT) ICSS2021-55 |
In recent years, as society has become more information-oriented, malware for information has been increasing. In such a... [more] | ICSS2021-55 pp.55-60 |
| 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 |
| DE, IPSJ-DBS, IPSJ-IFAT | 2021-09-16 13:00 |
Online | Online | Ensemble BERT-BiLSTM-CNN Model for Sequence Classification Vuong Thi Hong (NII/SOKENDAI), Takasu Atsuhiro (NII) DE2021-12 |
Ensemble methods use multiple learning algorithms to obtain better predictive performance. Currently, deep learning mode... [more] | DE2021-12 pp.1-6 |
| IN, NS, CS, NV (Joint) |
2021-09-09 14:55 |
Online | Online | Proposal of signal separation using LSTM on wavelength division multiplexed optical wireless communication Masaki Inomata, Takanori Iwamatsu, Saeko Oshiba (KIT) CS2021-43 |
We propose a new method for sequential interference cancellation in wavelength-division multiplexed optical wireless com... [more] | CS2021-43 pp.13-16 |
| SP, IPSJ-SLP, IPSJ-MUS | 2021-06-19 13:00 |
Online | Online | Low Loss Machine Learning for Digital Modeling of Distortion Stomp Boxes. Yuto Matsunaga, Naofumi Aoki, Yoshinori Dobashi (Hokkaido Univ.), Tetsuya Kojima (NITTC) SP2021-11 |
Distortion stomp boxes are one of the acoustic devices used on electric guitars. This device has attracted the interest ... [more] | SP2021-11 pp.46-50 |
| 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 |
| SC | 2021-05-28 15:15 |
Online | Online | Local-location and short-term solar power forecast system for marine environment observation devices Tetsuo Imai (Hiroshima City Univ.), Satoshi Ichimaru, Kenichi Arai, Toru Kobayashi (Nagasaki Univ.) SC2021-8 |
Marine environmental observatories for environmental assessment offshore are powered by renewable energy sources such as... [more] | SC2021-8 pp.39-43 |
| KBSE, SWIM | 2021-05-21 11:30 |
Online | Online | Design of a Machine Learner for Adapting Competitive Game Strategies to Players' Proficiency Daisuke Takeuchi, Masami Noro, Atsushi Sawada (Nanzan Univ.) KBSE2021-2 SWIM2021-2 |
In recent, player modeling has become an important issue in the area of game AI design and many researchers and practiti... [more] | KBSE2021-2 SWIM2021-2 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 |
| CAS, CS | 2021-03-02 10:00 |
Online | Online | How to Establish a Multirotor State Equation for Effective Neural Computing Kaito Isogai, Kazuya Ozawa, MoYong Hong, Hideaki Okazaki (Shonan Inst. Tech) CAS2020-77 CS2020-84 |
In this report, we discuss a numerical approximation of flight behavior of a multirotor using Long Short-Term Memory (LS... [more] | CAS2020-77 CS2020-84 pp.29-34 |
| CAS, ICTSSL | 2021-01-28 09:15 |
Online | Online | On differential equations of nonlinear NPN bipolar transistor for LSTM neural networks Cheng Wang, Hong Mo Yong, Zhi Hui He, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst.Tech) CAS2020-37 ICTSSL2020-22 |
In this report，we discuss how to build differential equations of a nonlinear NPN bipolar transistor for Long Short Te... [more] |
CAS2020-37 ICTSSL2020-22 pp.1-3 |
| CAS, ICTSSL | 2021-01-28 09:35 |
Online | Online | On a music generation using LSTM neural network with Julia Takaaki Kobayashi, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst Tech) CAS2020-38 ICTSSL2020-23 |
We discuss how to build a Long Short-Term Memory Neural Network (LSTM) for music generations, using Flux． [more] | CAS2020-38 ICTSSL2020-23 pp.4-6 |
| CAS, ICTSSL | 2021-01-28 09:55 |
Online | Online | On differential equations and numerical approximations of a nonlinear field effect transistor for LSTM neural networks Zhihui He, Cheng Wang, Moyong Hong, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst. Tech) CAS2020-39 ICTSSL2020-24 |
In this report，we discuss how to build differential equations and numerical approximations of a nonlinear field effect t... [more] | CAS2020-39 ICTSSL2020-24 pp.7-10 |
| CAS, ICTSSL | 2021-01-28 17:35 |
Online | Online | Study of a Hardware Implementation of a Long Short-Term Memory with HDLRuby Yuki Maehara, Ryota Sakai, Lovic Gauthier (NITAC) CAS2020-54 ICTSSL2020-39 |
In the recent years, many global companies have attempted to use FPGA for implementing applications in the field of AI s... [more] | CAS2020-54 ICTSSL2020-39 pp.85-90 |
| CAS, ICTSSL | 2021-01-29 09:10 |
Online | Online | How to create a dataset for stock price forecasting using NN Fuya Kaneda, Kousuke Kato, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (SIT) CAS2020-56 ICTSSL2020-41 |
In this report，we discuss how to build a Neural Network (NN) for Stock price forecasting．First，we briefly explain about ... [more] | CAS2020-56 ICTSSL2020-41 pp.97-100 |
| CAS, ICTSSL | 2021-01-29 09:30 |
Online | Online | A study of stock price prediction method using LSTM Neural Network Kousuke Kato, Fuya Kaneda, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (SIT) CAS2020-57 ICTSSL2020-42 |
In this report，we discuss how to build a Long Short-Term Memory Neural Network (LSTM) for Stock price forecasting, usin... [more] | CAS2020-57 ICTSSL2020-42 pp.101-103 |
| CAS, ICTSSL | 2021-01-29 09:50 |
Online | Online | On numerical approximated solutions of state equations for a multirotor using a LSTM NN MoYong Hong, ZhiHui He, Cheng Wang, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst. Tech) CAS2020-58 ICTSSL2020-43 |
In this presentation, LSTM is applied to estimate dynamic behavior of a multirotor. The numerical approximated solutions... [more] | CAS2020-58 ICTSSL2020-43 pp.104-106 |
| WPT, AP (Joint) |
2021-01-22 11:10 |
Online | Online | [Invited Lecture]
Path Loss Variation Prediction at 2-26 GHz Band using LSTM Motoharu Sasaki, Nobuaki Kuno, Toshiro Nakahira, Minoru Inomata, Wataru Yamada, Takatsune Moriyama (NTT) AP2020-112 |
We report a method for predicting variation in path loss using Long Short-Term Memory (LSTM) as deep learning. The train... [more] | AP2020-112 pp.50-55 |
| 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 |
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