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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-24 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Development of gamification based vocal therapy support system. Taketo Murai, Tatsuya Kitamura (Konan Univ.), Naoko Kawamura (Himeji Dokkyo Univ.) |
(To be available after the conference date) [more] | |
| IA | 2023-01-25 15:45 |
Osaka | Osaka Umeda Campus, Kwansei Gakuin University (Osaka) (Primary: On-site, Secondary: Online) |
Students Dropout Analytics and Prediction in Higher Education Case Study on Various Campuses of Prince of Songkla University Theerayuth Prasompong, Suwimon Bureekarn, Chidchanok Choksuchat (PSU)  IA2022-73 |
In point of students, ‘dropout’ problem in higher education wastes their time and tuition fees. In contrast, universitie... [more] | IA2022-73 pp.36-42 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2021-12-01 09:45 |
Online | Online | Low quiescent current LDO with FVF based PSRR enhanced circuit for wearable EEG measurement devices Kenji Mii, Daisuke Kanemoto, Osamu Maida, Tetsuya Hirose (Osaka Univ.) VLD2021-18 ICD2021-28 DC2021-24 RECONF2021-26 |
This paper proposes a low quiescent current low-dropout regulator (LDO) with a flipped voltage follower (FVF)-based powe... [more] | VLD2021-18 ICD2021-28 DC2021-24 RECONF2021-26 pp.7-12 |
| NLP, MSS (Joint) |
2019-03-14 15:35 |
Fukui | Bunkyo Camp., Univ. of Fukui | Effect of Dropout Layers of Neural Networks Applied for Iterative Error-Detection Clustering Method Taishi Watanabe, Masayuki Yamauchi (Hiroshima Institute of Tech.), Mamoru Tanaka (Sophia Univ.) NLP2018-130 |
IoT has been continued to develop greatly. It is important that cluttered big data need to be used effectively on intern... [more] | NLP2018-130 pp.31-36 |
| EMCJ, IEE-EMC, IEE-MAG | 2018-11-22 15:10 |
Overseas | KAIST | Ground Integrity Analysis in an On-chip Low-Dropout Regulator to PCB Hierarchical Power Distribution Network Shinyoung Park, Subin Kim, Joungho Kim (KAIST) EMCJ2018-77 |
Ground noise generated from external switching circuits can be coupled to the SoC of the interest via off-chip PDNs and ... [more] | EMCJ2018-77 p.57 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | Analysis of Dropout in online learning Kazuyuki Hara (Nihon Univ.) IBISML2017-61 |
Deep learning is the state-of-the-art in fields such as visual object recognition and speech recognition. This learning... [more] |
IBISML2017-61 pp.201-206 |
| NLP | 2017-05-11 14:05 |
Okayama | Okayama University of Science | Learning of Neural Network with Coupled Chaotic Map Shu Sato, Chihiro Ikuta, Yuichi Nakamura (NIT, Anan College), Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2017-9 |
In recent years, research on neural networks has been actively conducted. Neural network refers to the human brain netwo... [more] | NLP2017-9 pp.43-46 |
| NC, NLP (Joint) |
2016-01-29 16:15 |
Fukuoka | Kyushu Institute of Technology | Proposal of novel dropout method and its analysis of dynamic property Daisuke Saitoh, Tasuku Kondo, Kazuyuki Hara (Nihon Univ.) NC2015-67 |
Deep learning that use a large network and includes many units tends to occur the overfitting. Therefore, to avoid the o... [more] | NC2015-67 pp.55-60 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Combination of LSTM and CNN on recognizing mathematical symbols Hai Nguyen Dai, Anh Le Duc, Masaki Nakagawa (TUAT) IBISML2014-73 |
Combining classifiers is an approach that has been shown to be useful on numerous occasions when striving for further im... [more] | IBISML2014-73 pp.287-292 |
| ICD, SDM | 2012-08-03 13:10 |
Hokkaido | Sapporo Center for Gender Equality, Sapporo, Hokkaido | A Fast-Transient-Response Digital Low-Dropout Regulator Comprising Thin-Oxide MOS Transistors in 40-nm CMOS process Masafumi Onouchi, Kazuo Otsuga, Yasuto Igarashi, Toyohito Ikeya, Sadayuki Morita (Renesas Electronics), Koichiro Ishibashi (Univ. of Electro-Comm.), Kazumasa Yanagisawa (Renesas Electronics) SDM2012-82 ICD2012-50 |
A digital low-dropout (LDO) regulator comprising only thin-oxide MOS transistors was developed. The input voltage to the... [more] | SDM2012-82 ICD2012-50 pp.105-110 |
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