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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IA, CQ, MIKA (Joint) |
2022-09-16 14:55 |
Hokkaido | Hokkaido Citizens Actives Center (Primary: On-site, Secondary: Online) |
On the Effectiveness of Spreading Positive Influence for Limiting the Spread of Negative Influence on Multiplex Networks Yumi Fujita, Sho Tsugawa (Univ. of Tsukuba)  CQ2022-44 |
To limit the spread of misinformation, the dissemination of messages countering the misinformation has been shown to be ... [more] | CQ2022-44 pp.109-114 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 10:10 |
Online | Online (Zoom) | A study on player and ball tracking in tennis videos. Kosuke Matsumoto (Kobe univ.), Junki Tamae (iret), Nobutaka Kuroki (Kobe univ.), Kensuke Hirano (iret), Masahiro Numa (Kobe univ.) IMQ2021-16 IE2021-78 MVE2021-45 |
This paper proposes a player and ball tracking method in tennis videos with image processing techniques. The proposed me... [more] | IMQ2021-16 IE2021-78 MVE2021-45 pp.33-38 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 11:45 |
Online | Online | Physical deep learning based on optimal control of dynamical systems Satoshi Sunada, Genki Furuhata, Tomoaki Niiyama (Kanazawa Univ.) NLP2021-79 MICT2021-54 MBE2021-40 |
An underlying key factor of deep neural networks is the information propagation through the layers. This suggests a conn... [more] | NLP2021-79 MICT2021-54 MBE2021-40 p.36 |
| NLP | 2021-12-18 15:40 |
Oita | J:COM Horuto Hall OITA | Performance evaluation on timeseries prediction of multi-layer simple cycle reservoir computing Kentaro Imai, Masaharu Adachi (Tokyo Denki Univ.) NLP2021-67 |
The purpose of this study is to combine Deep Echo State Network with other models. In this study, we propose and impleme... [more] | NLP2021-67 pp.110-113 |
| PRMU | 2021-12-16 15:15 |
Online | Online | Multivariate time series forecasting accuracy improvement method based on LSTNet Hayato Sano, Jun Rokui (Univ of Shizuoka) PRMU2021-37 |
Multivariate time series forecasting is a field to predict future values by analyzing the past of multiple time series d... [more] | PRMU2021-37 pp.71-76 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Deep Transfer Strategies for Recognizing Functional Head-Movement Interactions in Multiparty Meetings Takashi Mori, Kazuhiro Otsuka (YNU) |
In group meetings, the participant's head movements play various functions. This study extends the concept of individual... [more] | |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2021-12-01 15:35 |
Online | Online | Determining Optimal Number of Layers for Network-Flow-based Sample Preparation Akira Ishida, Shigeru Yamashita (Ritsumeikan Univ.) VLD2021-29 ICD2021-39 DC2021-35 RECONF2021-37 |
Sample preparation is an indispensable process when we perform biochemical experiments on DMFBs. There exists an optimal... [more] | VLD2021-29 ICD2021-39 DC2021-35 RECONF2021-37 pp.72-77 |
| MIKA (3rd) |
2021-10-29 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Study on the Differences in Interaction Locality within Communities between Layers in MultiLayer Social Networks Daiki Suzuki, Sho Tsugawa (Univ. of Tsukuba) |
In social networks, nodes in the same community communicate with each other more frequently than with nodes in different... [more] | |
| RCS | 2021-06-24 13:00 |
Online | Online | A Study on Recurrent Neural Network Aided GNSS Positioning Kohei Nishioka, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2021-53 |
One method of positioning schemes with the aid of the global navigation satellite system (GNSS) is to approximately solv... [more] | RCS2021-53 pp.145-150 |
| IA, ICSS | 2021-06-21 16:25 |
Online | Online | [Invited Talk]
An Authentication Scheme for WLAN Physical Layer Miyuki Hirose (KIT) IA2021-8 ICSS2021-8 |
Security has traditionally been implemented at the higher, logical layers of communication networks, rather than at the ... [more] | IA2021-8 ICSS2021-8 p.43 |
| PRMU, IPSJ-CVIM, IPSJ-NL | 2021-05-21 10:15 |
Online | Online | PRMU2021-4 |
In recent years, multi-task learning and multi-domain learning have been developed to improve the accuracy for each task... [more] | PRMU2021-4 pp.19-24 |
| IN, NS (Joint) |
2021-03-05 11:40 |
Online | Online | Influence of P2P content distribution and network structural changes on IP traffic Rui Maeda, Michiko Harayama (Gifu Univ.) IN2020-85 |
Since 2010, the scale and traffic of the Internet have been increasing due to the enhancement of content, higher quality... [more] | IN2020-85 pp.184-189 |
| RCS, SR, SRW (Joint) |
2021-03-03 11:15 |
Online | Online | Design of MEC 5G and Beyond Cellular Networks
-- Viewpoint from Local Telecom Operators and Cloud Owners -- Jin Nakazato, Zongdian Li, kazuyuki Maruta, Kei Sakaguchi (Tokyo Tech) RCS2020-212 |
The 5G networks will bring an unprecedented promotion in transmission data rates. However, the satisfaction of some serv... [more] | RCS2020-212 pp.55-60 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 11:15 |
Online | Online | Automatic Detection of Epileptic Abnormal EEG Using Deep Learning Taku Shoji (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2020-62 SIP2020-93 SP2020-27 |
Although electroencephalography (EEG) is essential for the diagnosis of epilepsy, it requires expertise and experience t... [more] | EA2020-62 SIP2020-93 SP2020-27 pp.15-20 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 14:05 |
Online | Online | [Poster Presentation]
Investigation of DNN-based speech synthesis utilizing oral reading skills obtained from large scale subjective evaluation Shun Akui (UTokyo), Yusuke Ijima (NTT), Daisuke Saito, Nobuaki Minematsu (UTokyo) EA2020-71 SIP2020-102 SP2020-36 |
So far, we have been suggested the value of `oral reading skill' based on a listening evaluation experiment as a quantit... [more] | EA2020-71 SIP2020-102 SP2020-36 pp.68-73 |
| NC, MBE (Joint) |
2021-03-04 16:25 |
Online | Online | Hierarchical Feature Extraction for Dynamic Q-Network Taishi Komatsu, Yukari Yamauchi (Nihon Univ.) NC2020-62 |
Recently, Convolutional Neural Networks (CNN), which have been successful in the field of image recognition, use a hiera... [more] | NC2020-62 pp.112-116 |
| NC, MBE (Joint) |
2021-03-05 13:25 |
Online | Online | Applying Ensemble Learning in Relay BP Keisuke Toyama, Yukari Yamauchi (Nihon Univ.) NC2020-70 |
Convolutional Neural Network (CNN) is one of the network models that can produce highly accurate output even though it u... [more] | NC2020-70 pp.157-162 |
| CAS, ICTSSL | 2021-01-28 17:15 |
Online | Online | A Hardware Implementation of Neural Networks using HDLRuby, a Ruby-based Hardware Description Language Ryota Sakai, Yuki Maehara, Lovic Gauthier (NITAC) CAS2020-53 ICTSSL2020-38 |
In the recent years, FPGAs have been attracting attention as neural network accelerators for their superior performance ... [more] | CAS2020-53 ICTSSL2020-38 pp.79-84 |
| HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online | Online | Eye movement prediction of drivers while driving baesd on deep neural network Yan Yue, Minoru Nakayama (Tokyo Tech), Chayn Sun (RMIT) |
We report on the a deep neural network trained on drivers’ fixation data vectors for prediction tasks. The fixation da... [more] |
|
| NS, ICM, CQ, NV (Joint) |
2020-11-27 13:35 |
Online | Online | Design and Discussion of NFC Mechanism Considering Security and Optimal Arrangement of Functions in Multi-Tenant Environment Daisuke Settai, Takao Kondo, Fumio Teraoka (Keio Univ.) NS2020-83 |
As the performance of networks and commodity hardware improves, We will apply Network Function Chaining (NFC) to multipl... [more] | NS2020-83 pp.43-48 |
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