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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 11:10 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Analysis of Trends and Challenges in Visual Guidance Effect by Head Redirection
-- Initiatives for Work Skill Training System Maintaining High Self-Operation Feeling -- Kozo Baba, Hiroaki Takebe, Ayaka Oka, Masaki Ishihara, Takayuki Baba (Fujitsu)  IMQ2023-16 IE2023-71 MVE2023-45 |
Based on the possibility that the learning effect and the degree of fixation of the physical skill can be improved by th... [more] | IMQ2023-16 IE2023-71 MVE2023-45 pp.19-24 |
| PRMU, IPSJ-CVIM | 2023-05-19 15:55 |
Aichi | (Primary: On-site, Secondary: Online) |
Assessment of sensor characteristics on compressive spectral imaging with Spectrally-varying PSFs Ryo Shirakawa, Yoko Sogabe, Ayumi Matsumoto, Masaki Kitahara (NTT) PRMU2023-14 |
Compressed spectral imaging with Spectrally-varying PSFs is a technique acquiring 3D spectral data cube based on compres... [more] | PRMU2023-14 pp.74-79 |
| IE | 2023-02-02 14:20 |
Tokyo | NII (Primary: On-site, Secondary: Online) |
A study on complexity reduction of graph signal denoising based on fast graph Fourier transform and its application to image Takayuki Sasaki, Yukihiro Bandoh, Masaki Kitahara (NTT) IE2022-53 |
[more] | IE2022-53 pp.11-16 |
| CS, IE, IPSJ-AVM, ITE-BCT [detail] | 2022-11-25 10:40 |
Aichi | Nagoya Institute of Technology (Primary: On-site, Secondary: Online) |
CS2022-57 IE2022-45 |
(To be available after the conference date) [more] | CS2022-57 IE2022-45 pp.51-56 |
| IE | 2018-06-29 13:50 |
Okinawa | Image Coding based on Completion using Generative Adversarial Networks Shota Orihashi, Shinobu Kudo, Masaki Kitahara, Atsushi Shimizu (NTT) IE2018-27 |
In this paper, we propose an image coding method applying image completion using the framework of generative adversarial... [more] | IE2018-27 pp.33-38 |
|
| NS, IN (Joint) |
2018-03-01 10:30 |
Miyazaki | Phoenix Seagaia Resort | NoSQL DBMS Performance Improvement using Deeply Programmable Network Switch Supporting TCP Connection Management Shinnosuke Nirasawa, Masaki Hara (Kogakuin Univ.), Akihiro Nakao (UTokyo), Masato Oguchi (Ochanomizu Univ.), Shu Yamamoto (UTokyo), Saneyasu Yamaguchi (Kogakuin Univ.) NS2017-179 |
[more] | NS2017-179 pp.67-72 |
| NS | 2018-01-18 14:10 |
Okinawa | Ishigakishi-Shoko-Kaikan | NoSQL DBMS Performance Improvement using Deeply Programmable Network Switch Shinnosuke Nirasawa, Masaki Hara (Kogakuin Univ.), Akihiro Nakao (UTokyo), Masato Oguchi (Ochanomizu Univ.), Shu Yamamoto (UTokyo), Saneyasu Yamaguchi (Kogakuin Univ.) NS2017-146 |
[more] | NS2017-146 pp.13-16 |
| NS | 2018-01-18 14:30 |
Okinawa | Ishigakishi-Shoko-Kaikan | Evaluation of Service Identification Based on Multiple TLS Sessions Clustering Masaki Hara, Shinnosuke Nirasawa (Kogakuin Univ.), Akihiro Nakao (UTokyo), Masato Oguchi (Ochanomizu Univ.), Shu Yamamoto (UTokyo), Saneyasu Yamaguchi (Kogakuin Univ.) NS2017-147 |
Identifying services of the traffic by given IP network flow is essential for various purposes, such as management of Qo... [more] | NS2017-147 pp.17-22 |
| NS | 2018-01-18 14:50 |
Okinawa | Ishigakishi-Shoko-Kaikan | A Study on Clustering Sessions of TLS based on Server Certification Hiroaki Yamauchi, Masaki Hara, Shun Kurihara, Shinnosuke Nirasawa (Kogakuin Univ.), Akihiro Nakao (UTokyo), Masato Oguchi (Ochanomizu Univ.), Shu Yamamoto (UTokyo), Saneyasu Yamaguchi (Kogakuin Univ.) NS2017-148 |
[more] | NS2017-148 pp.23-28 |
| DE | 2016-09-13 15:20 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | Services Identification based on Inspection of Multiple Connections Masaki Hara, Shinnosuke Nirasawa (Kogakuin Univ.), Akihiro Nakao (UTokyo), Masato Oguchi (Ochanomizu Univ.), Shu Yamamoto (UTokyo), Saneyasu Yamaguchi (Kogakuin Univ.) DE2016-14 |
[more] | DE2016-14 pp.13-18 |
| OCS, NS, PN (Joint) |
2016-06-24 15:05 |
Hokkaido | Hokkaido University | Application Performance Improvement using Deeply Programmable Network Switch Shinnosuke Nirasawa, Masaki Hara (Kogakuin Univ.), Akihiro Nakao (Tokyo Univ.), Masato Oguchi (Ochanomizu Univ.), Shu Yamamoto (Tokyo Univ.), Saneyasu Yamaguchi (Kogakuin Univ.) NS2016-45 |
Traditional network elements cannot be controlled by applications in network. Thus, application aware routing or perform... [more] | NS2016-45 pp.95-100 |
| OCS, NS, PN (Joint) |
2016-06-24 16:30 |
Hokkaido | Hokkaido University | Application Identification by Packet Inspection based onN-gram Masaki Hara, Shinnosuke Nirasawa (Kogakuin Univ.), Akihiro Nakao (Tokyo Univ.), Masato Oguchi (Ochanomizu Univ.), Shu Yamamoto (Tokyo Univ.), Saneyasu Yamaguchi (Kogakuin Univ.) NS2016-48 |
(Advance abstract in Japanese is available) [more] | NS2016-48 pp.113-117 |
| NS, IN (Joint) |
2016-03-03 09:30 |
Miyazaki | Phoenix Seagaia Resort | Application Performance Improvement based on DPN nirasawa shinnosuke, Masaki Hara (Kogakuin Univ.), Akihiro Nakao (UTokyo), Masato Oguchi (Ochanomizu Univ.), Shu Yamamoto (UTokyo), Saneyasu Yamaguchi (Kogakuin Univ.) NS2015-177 |
Traditional network elements cannot analyze packet payload and control transmission behavior based on analyzing results.... [more] | NS2015-177 pp.53-57 |
| NS, IN (Joint) |
2016-03-03 10:40 |
Miyazaki | Phoenix Seagaia Resort | Application Identification by Packet Inspection based on N-gram Masaki Hara, Shinnosuke Nirasawa (Kogakuin Univ.), Akihiro Nakao (Univ.Tokyo), Masato Oguchi (Ochanomizu Univ.), Shu Yamamoto (Univ.Tokyo), Saneyasu Yamaguchi (Kogakuin Univ.) NS2015-192 |
Application Identification is important for controlling quality of services in extremely crowded networks, such as a net... [more] | NS2015-192 pp.139-144 |
| ICD, IE, VLD, IPSJ-SLDM [detail] | 2015-10-27 11:25 |
Miyagi | A Study on Fast Transform Coefficient Rate Calculation Method in HEVC Shinobu Kudo, Masaki Kitahara, Atsushi Shimizu (NTT) VLD2015-36 ICD2015-49 IE2015-71 |
The latest video compression standard, H.265/HEVC, achieves high compression efficiency. However, a reduction of high en... [more] | VLD2015-36 ICD2015-49 IE2015-71 pp.51-56 |
|
| PRMU, CNR | 2015-02-19 11:00 |
Miyagi | Medical Image Registration with Radial Feature Points Sampling Masaki Ishihara, Yuji Matsuda, Masahiko Sugimura, Susumu Endo, Takayuki Baba, Yusuke Uehara (FUJITSU LABORATORIES LTD.) PRMU2014-118 CNR2014-33 |
[more] | PRMU2014-118 CNR2014-33 pp.37-42 |
|
| MoNA, ITE-CE, ITE-BCT | 2009-09-25 15:15 |
Okinawa | Tenbusu-Naha | Experimental production of field networks by SunSpot Katsuhiro Naito (Mie Univ.), Masaki Ehara (Tokyo Univ. of Tech.), Kazuo Mori, Hideo Kobayashi (Mie Univ.) MoMuC2009-38 |
An Environmental observation system is a candidate application of sensor networks. In order to achieve the environment... [more] |
MoMuC2009-38 pp.73-78 |
| NC, MBE (Joint) |
2009-03-12 10:50 |
Tokyo | Tamagawa Univ. | Vasomotion patterns in cerebral cortex representing "l'image-temps"for musical structures Masakazu Iwasaka, Sagehara Agehara (Chiba Univ.), Masaki Hara, Yoh Nakayama (Yamaha Music Foundation) MBE2008-108 |
Hemo-dynamics relating to musical recognition process in human brain were investigated by utilizing two one-channel non-... [more] | MBE2008-108 pp.73-76 |
| NC, MBE (Joint) |
2008-03-13 10:00 |
Tokyo | Tamagawa Univ | Musical brain activities observed in hemodynamic pattern of musicians by multi-channel NIRS Masakazu Iwasaka, Madoka Shimo, Takuro Ishii, Katsuo Sugita (Chiba Univ.), Masaki Hara, Yoh Nakayama (YMF RC) MBE2007-107 |
[more] | MBE2007-107 pp.9-12 |
| NLP | 2005-11-18 13:25 |
Fukuoka | Kyushu Institute of Technology | Ensemble Self-Generating Neural Networks for Chaotic Time Series Prediction Masaki Nakahara, Hirotaka Inoue (KNCT) |
In this paper,we present a performanse characteristic of self-generating neural networks(SGNNs) applied to time series ... [more] |
NLP2005-63 pp.7-12 |
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