| IEICE Technical Committee Submission System Conference Schedule |
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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HCS | 2024-03-02 12:05 |
Shizuoka | Tokoha University(Shizuoka-Kusanagi Campus) | Estimation of willingness to participate in other's conversation by using deep learning of facial expression measurements Kohei Yamamoto, Jiro Okuda (Kyoto Sangyo Univ.)  HCS2023-92 |
In recent years, there has been much interest in developing agents that can join conversations among multiple people and... [more] | HCS2023-92 pp.25-30 |
| ET | 2024-01-20 15:55 |
Kyoto | Kyoto University Yoshida Campus / Online (Primary: On-site, Secondary: Online) |
Difficulty-Controllable Question Generation of Reading Comprehension incorporating Answerability Evaluation Mechanism Ayaka Suzuki, Masaki Uto (UEC) ET2023-51 |
Question generation (QG) for reading comprehension is a technology for automatically generating questions related to giv... [more] | ET2023-51 pp.38-44 |
| ET | 2023-11-11 09:10 |
Kagawa | Kagawa University Saiwai-cho (Main) Campus / Online (Primary: On-site, Secondary: Online) |
Joint Generation of Questions and Reference Answers for Reading Comprehension with Difficulty-Controllability Teruyoshi Goto, Yuto Tomikawa, Masaki Uto (UEC) ET2023-24 |
Recently, deep learning techniques have been employed to automatically generate reading comprehension questions tailored... [more] | ET2023-24 pp.1-7 |
| EMD, WPT, EMCJ, PEM (Joint) |
2022-07-15 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Prediction of E-field Distribution in Indoor Environments Using Deep Learning Technique Liu Sen, Onishi Teruo, Taki Masao, Watanabe Soichi (NICT) EMCJ2022-34 |
As one of the important aspects of monitoring electromagnetic field (EMF) exposure levels, comprehensively grasping the ... [more] | EMCJ2022-34 pp.1-5 |
| AI | 2022-07-04 16:50 |
Hokkaido | (Primary: On-site, Secondary: Online) |
A generative model for generation of playable levels in 2D video games. Soichiro Takata, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2022-16 |
(To be available after the conference date) [more] | AI2022-16 pp.82-87 |
| EMM | 2022-03-07 17:00 |
Online | (Primary: Online, Secondary: On-site) (Primary: Online, Secondary: On-site) |
Extention of robust image classification system with Adversarial Example Detectors Miki Tanaka, Takayuki Osakabe, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2021-105 |
In image classification with deep learning, there is a risk that an attacker can intentionally manipulate the prediction... [more] | EMM2021-105 pp.76-80 |
| ET | 2021-09-10 13:15 |
Online | Online | Predicting Code Reading Test Answers by Using Eye Movement Features YUE YAN, Minoru Nakayama (Tokyo Tech) ET2021-11 |
Code reading comprehension progress has been shown to distribute in the eye movement data, which makes predict the code ... [more] | ET2021-11 pp.17-22 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-18 16:40 |
Online | Online | A note on improvement of image sentiment analysis based on introduction of image captioning Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Recently, with the popularization of social network services, the images uploaded by users have been increasing. Users t... [more] | |
| BioX | 2020-11-25 11:10 |
Online | Online | GAN based feature-level supportive method for improved adversarial attacks on face recognition Zhengwei Yin (USTC/Hosei Univ.), Kaoru Uchida (Hosei Univ.) BioX2020-35 |
With the rapid development of deep neural networks (DNN), DNN-based face recognition technologies are also achieving gre... [more] | BioX2020-35 pp.1-6 |
| EA, SIP, SP | 2019-03-14 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
Voice activity detection under high levels of noise using gated convolutional neural networks Li Li, Koshino Yuki, Matsumoto Mitsuo, Makino Shoji (Univ. Tsukuba) EA2018-102 SIP2018-108 SP2018-64 |
This paper deals with voice activity detection (VAD) tasks under high-level noise environments where signal-to-noise rat... [more] | EA2018-102 SIP2018-108 SP2018-64 pp.19-24 |
| HCGSYMPO (2nd) |
Mie | Sinfonia Technology Hibiki Hall Ise | - Naoto Kato, Michiko inoue, Shiraiwa Aya, Masashi Nishiyama, Yoshio Iwai (Tottori Univ) |
We investigate recognition performance between people and deep learning techniques using a simple task of visual inspect... [more] | ||
| CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-08 14:10 |
Okinawa | Okinawa Industry Support Center | Carbohydrate Counting from Food Images Hibiki Ikeda, Kyoko Sudo (Toho Univ.), Shigeko Kimura, Kayo Waki (Tokyo Univ.) IMQ2017-34 IE2017-126 MVE2017-76 |
Type 1 diabetes patients, whoes body doesn't produce enough inslin to control their blood glucose levels, estimate th... [more] |
IMQ2017-34 IE2017-126 MVE2017-76 pp.53-57 |
| MBE, NC (Joint) |
2017-03-14 14:35 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Discrimination of drowsiness level based on facial skin thermogram using CNN Hiroko Adachi, Kosuke Oiwa, Akio Nozawa (AGU) MBE2016-99 |
The relation between drowsiness and facial expression can be classified into five levels according to NEDO method which ... [more] | MBE2016-99 pp.83-86 |
| SP, IPSJ-SLP (Joint) |
2016-07-28 14:00 |
Yamagata | Takinoyu Hotel | Evaluation of Japanese English DNN Acoustic Models with English Level Yuta Kawachi, Hirokazu Masataki, Taichi Asami, Yushi Aono (NTT) SP2016-20 |
In this paper, we propose an acoustic model that takes into consideration foreign language fluency level by extracting a... [more] | SP2016-20 pp.1-6 |
| CPM, ED, SDM | 2014-05-29 13:20 |
Aichi | Deep levels near the valence band in p-type 4H-SiC epilayers with various Al concentrations Hiroki Nakane, Masashi Kato, Masaya Ichimura (NIT) ED2014-38 CPM2014-21 SDM2014-36 |
Understanding of the deep level is essential to control the carrier lifetime for ultrahigh-voltage SiC bipolar devices. ... [more] | ED2014-38 CPM2014-21 SDM2014-36 pp.101-104 |
|
| ED, SDM, CPM | 2012-05-18 11:15 |
Aichi | VBL, Toyohashi Univ. of Technol. | Characterization of recombination centers in p-type 4H-SiC induced by low-energy electron irradiation Kazuki Yoshihara, Masashi Kato, Masaya Ichimura (NIT), Tomoaki Hatayama (NAIST), Takeshi Ohshima (JAEA) ED2012-31 CPM2012-15 SDM2012-33 |
Silicon carbide (SiC) is a promising material for high power devices with low energy loss. However we have never complet... [more] | ED2012-31 CPM2012-15 SDM2012-33 pp.67-72 |
| ED, SDM | 2010-07-02 10:50 |
Tokyo | Tokyo Inst. of Tech. Ookayama Campus | Characterization of deep electron levels of AlGaN grown by MOVPE Kimihito Ooyama (Hokkaido Univ./SMM), Katsuya Sugawara (Hokkaido Univ.), Hiroyuki Taketomi, Hideto Miyake, Kazumasa Hiramatsu (Mie Univ.), Tamotsu Hashizume (Hokkaido Univ./JST) ED2010-107 SDM2010-108 |
Deep electronic levels of Al_xGa_{1-x}N (0.25 <x < 0.60) were investigated by using deep level transient spectroscopy (D... [more] | ED2010-107 SDM2010-108 pp.249-252 |
| CPM, ED, SDM | 2008-05-16 15:30 |
Aichi | Nagoya Institute of Technology | Characterization of deep levels in undoped 6H-SiC by Current Deep-Level Transient Spectroscopy method Kosuke Kito, Masashi Kato, Masaya Ichimura (Nagoya Inst. of Tech) ED2008-21 CPM2008-29 SDM2008-41 |
We characterized deep levels that influence a semi-insulating property by current-voltage, capacitance-voltage and curre... [more] | ED2008-21 CPM2008-29 SDM2008-41 pp.101-106 |
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