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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMM | 2022-03-07 13:05 |
Online | (Primary: Online, Secondary: On-site) (Primary: Online, Secondary: On-site) |
[Poster Presentation]
A proposal of assist system for digital illustration drawing Satoshi Higuchi, Michiharu Niimi (KIT)  EMM2021-92 |
In order to practice drawing illustrations, it is useful to have a system that provides drawing assistance and evaluatio... [more] | EMM2021-92 pp.1-6 |
| NLC | 2022-03-07 16:15 |
Online | Online | Program Information Extraction Using Gradient Boosting Hiroki Tanioka (Tokushima Univ.), Kenji Taniwaki (PLAT WORKS Corp.) NLC2021-37 |
Although video distribution services using the Internet have been launched one after another, the authors currently perf... [more] | NLC2021-37 pp.54-55 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 15:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Interpolation of head-related transfer function from small amount of observation data using deep learning based on spherical wavefunction expansion Yuki Ito, Tomohiko Nakamura, Shoichi Koyama, Hiroshi Saruwatari (UTokyo) EA2021-90 SIP2021-117 SP2021-75 |
In binaural synthesis, listeners' individual head-related transfer functions (HRTFs) are necessary for highly-immersive ... [more] | EA2021-90 SIP2021-117 SP2021-75 pp.163-170 |
| MI | 2022-01-27 16:00 |
Online | Online | MI2021-86 |
The appearance of skin diseases varies greatly depending on the type, location, and severity of the disease. There have ... [more] | MI2021-86 pp.184-185 |
| SRW, SeMI, CNR (Joint) |
2021-11-26 15:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Signal-Completion-Based Pre-Training Scheme for EEG with Various Number of Electrodes Yuma Tsurugasaki, Akihito Taya, Yoshito Tobe (Aoyama Gakuin Univ.) SRW2021-50 SeMI2021-49 CNR2021-24 |
Machine learning using electroencephalographs (EEG) data can be used to infer various human states such as emotions and ... [more] | SRW2021-50 SeMI2021-49 CNR2021-24 pp.79-81(SRW), pp.66-68(SeMI), pp.56-58(CNR) |
| OFT, OCS, LSJ (Joint) [detail] |
2021-08-26 15:35 |
Online | Online | Study of Downsized and light weight Optical fiber cord for Fly by Light Takeshiro Nagai, Kengo Tanabe, Yukihiro Kamogari, Wataru Noro (SWCC) OFT2021-16 |
As flight control technology progresses, an optical data bus system that is resistant to electromagnetic interference an... [more] | OFT2021-16 pp.25-28 |
| R | 2021-07-17 14:25 |
Online | Virtual | Refined Ensemble Learning Algorithms for Software Bug Prediction
-- Metaheuristic Approach -- Keisuke Fukuda, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2021-19 |
In this paper, we propose to apply three metaheuristic algorithms; latin hypercube sampling, ABC (artificial bee colon... [more] |
R2021-19 pp.18-23 |
| TL | 2021-07-03 15:00 |
Online | Online | Hylable for collecting and analyzing online group discussions and its application to English classes Takeshi Mizumoto (Hylable), Shoko Otake (Kobe Gakuin Univ.), Mayuko Matsuoka (Oidai), Miwa Morishita (Kobe Gakuin Univ.) TL2021-1 |
We introduce Hylable, a web conference visualization system, and its case studies for English classes. In recent years, ... [more] | TL2021-1 pp.1-2 |
| PRMU, IPSJ-CVIM | 2021-03-04 10:45 |
Online | Online | [Short Paper]
High-Resolution Image Completion by Hierarchical Neural Process Masato Miyahara, Daisuke Sato, Masato Fukuda, Narimune Matsumura, Yoshiki Nishikawa (NTT) PRMU2020-74 |
Neural Process (NP) is a deep generation model which can consider the uncertainty of prediction. The unknown output is ... [more] |
PRMU2020-74 pp.31-34 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 14:05 |
Online | Online | [Poster Presentation]
Psychological evaluation of popping-out voice quality Takashi Nakao, Tatsuya Kitamura (Konan Univ.) EA2020-72 SIP2020-103 SP2020-37 |
The present study evaluated the "popping-out" voice quality through auditory tests using a semantic differential method.... [more] | EA2020-72 SIP2020-103 SP2020-37 pp.74-78 |
| PRMU | 2020-12-17 15:25 |
Online | Online | Visual inspection system with a small number of anomalous data using DevNet Katsuhisa Kitaguchi, Yohei Nishizaki, Mamoru Saito (ORIST) PRMU2020-47 |
A good visual inspection using deep learning needs to collect a large amount of anomalous data. To solve this problem, w... [more] | PRMU2020-47 pp.53-57 |
| IA, IN (Joint) |
2020-12-15 11:40 |
Online | Online | Application Identification Method with Meta-Learning Shun Tobiyama, Bo Hu, Kazunori Kamiya (NTT), Kenji Takahashi (NTT Ltd.) IN2020-40 |
With the continuous evolution of the Internet, a variety of web applications, such as video streaming, social network se... [more] | IN2020-40 pp.43-48 |
| KBSE, SC | 2020-11-13 15:10 |
Online | Online + Kikai-Shinko-Kaikan Bldg. (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Deploying a collaborative materials vocabulary system for a materials data platform Asahiko Matsuda, Hiroyuki Naito, Takuya Kadohira (NIMS) KBSE2020-17 SC2020-21 |
We constructed a materials vocabulary system to integrate the difference in terminologies among materials science subdom... [more] | KBSE2020-17 SC2020-21 p.32 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 09:50 |
Online | Online | Correction methods of blood volume change-derived noise in flavoprotein fluorescence imaging in vivo Shunya Okano, Ryunosuke Togawa, Kentaro Oka, Mitsuyuki Nakao, Norihiro Katayama (Tohoku Univ) MBE2020-13 |
The flavoprotein autofluorescence imaging (FAI) is a functional optical imaging method of the brain that utilizes the gr... [more] | MBE2020-13 pp.5-8 |
| IN, CCS (Joint) |
2020-08-03 10:00 |
Online | Online | VXLAN Overcommit Method Using Frequency of Usage for Flexible Bare Metal Service Junji Kinoshita (Hitachi), Norihista Komoda, Toru Fujiwara (Osaka Univ.) IN2020-9 |
In Bare metal service infrastructure where user networks are isolated with network virtualization like VXLAN (Virtual eX... [more] | IN2020-9 pp.1-6 |
| EMM | 2020-03-05 15:35 |
Okinawa | (Cancelled but technical report was issued) |
[Poster Presentation]
An Adjustment Method of Camera Parameters Using Image Features in the Location Search System Hideo Nagashima, Tetsuya Suzuki (SIT) EMM2019-114 |
In general, clarifying the shooting location and shooting direction of a landscape photograph leads to effective use of ... [more] | EMM2019-114 pp.65-68 |
| SS | 2020-03-05 09:55 |
Okinawa | (Cancelled but technical report was issued) |
Judgment Model of Merge Conflict Resolution Pattern Using Machine Learning Meta-Information Shuya Shiraki, Tetsuya Kanda, Katsurou Inoue (Osaka Univ.) SS2019-51 |
Merge conflicts often occur in parallel development using version control system (VCS) . Resolving a conflict is cumbers... [more] | SS2019-51 pp.61-66 |
| VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2019-11-14 09:40 |
Ehime | Ehime Prefecture Gender Equality Center | Device characteristic measurement for realizing CMOS-compatible non-volatile memory using FiCC Ippei Tanaka, Naoyuki Miyagawa, Tomoya Kimura, Takashi Imagawa, Hiroyuki Ochi (Ritsumeikan Univ.) VLD2019-36 DC2019-60 |
This report proposes a new non-volatile memory element that can be fabricated with a standard CMOS process, and that can... [more] | VLD2019-36 DC2019-60 pp.63-68 |
| MI, MICT [detail] | 2019-11-05 16:10 |
Ibaraki | Univ. of Tsukuba | [Short Paper]
Proposal of fault-tolerant CT image reconstruction using Nonlocal Total Variation and its application to metal artifact reduction Kazuki Chigita (Univ. Tsukuba), Jian Dong (TUTE), Yongchae Kim, Hiroyuki Kudo (Univ. Tsukuba) MICT2019-37 MI2019-64 |
When some abnormal data is included in the projection data, the normal image reconstruction method increases the influen... [more] | MICT2019-37 MI2019-64 pp.55-56 |
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 15:00 |
Okinawa | Okinawa Institute of Science and Technology | Meta-analysis fMRI data helps robust source reconstruction of MEG measurements Keita Suzuki (NAIST), Okito Yamashita (ATR) NC2019-5 |
Functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) are the major recording means of brain act... [more] | NC2019-5 pp.21-25 |
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