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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SR | 2024-05-21 12:50 |
Kagoshima | Yokacenter (Kagoshima) (Primary: On-site, Secondary: Online) |
[Invited Talk]
A Study on Utilization of Machine Learning in Effective Use of Frequency Resources Teruji Ide (N I T, Kagoshima College) |
(To be available after the conference date) [more] | |
| SR | 2024-05-21 14:20 |
Kagoshima | Yokacenter (Kagoshima) (Primary: On-site, Secondary: Online) |
Near Fields Experiments of Intelligent Reflecting Surface at 60 GHz Yugo Tanabu, Mitsuni Hinohara, Hiroto Oshima, Yuichi Kawamoto, Nei Kato (Tohoku Univ.), Susumu Ano, Kazuto Yano (ATR) |
(To be available after the conference date) [more] | |
| EMD | 2024-03-01 13:45 |
Chiba | A study on analysis of rotation phenomena of MMF speckle patterns with deep learning Ryusei Sato, Makoto Hasegawa (Chitose Inst. of Science and Technology)  EMD2023-41 |
When laser light beams are allowed to propagate from one end of an optical fiber to the other end and further to be outp... [more] | EMD2023-41 pp.13-18 |
|
| DC | 2023-12-08 13:30 |
Nagasaki | ARKAS SASEBO (Primary: On-site, Secondary: Online) |
DC2023-87 |
(To be available after the conference date) [more] | DC2023-87 pp.1-6 |
| MIKA (3rd) |
2023-10-10 15:35 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Path Construction based on Fresnel Zone in Radio Propagation Graph Representation Learning Shimon Takagi, Shinsuke Bannai, Katsuya Suto (UEC) |
We have proposed a concept of data-driven radio propagation estimation, referred to as radio propagation graph represent... [more] | |
| MWPTHz, PN, EMT, IEE-EMT [detail] | 2023-01-24 11:35 |
Osaka | (Primary: On-site, Secondary: Online) |
Design of 30 dB directivity characteristics in the 0.3-THz band by a structure consisting of metalens antenna and resonant tunneling diode Kohei Urashima, Takehito Suzuki (TUAT) PN2022-40 EMT2022-78 MWPTHz2022-66 |
Metalens antennas are suitable for integration with various terahertz continuous-wave (CW) sources. However, high direct... [more] | PN2022-40 EMT2022-78 MWPTHz2022-66 pp.47-52 |
| ED, MWPTHz | 2022-12-19 14:05 |
Miyagi | Design of Fθ lens for scanning terahertz imaging Ruoxun Feng (Waseda Univ), Keizo Inagaki (NICT), Tetsuya Kawanishi (Waseda Univ) ED2022-73 MWPTHz2022-44 |
In the next-generation mobile communication system Beyond 5G, the active use of terahertz waves with higher frequencies ... [more] | ED2022-73 MWPTHz2022-44 pp.11-14 |
|
| RISING (3rd) |
2022-10-31 10:30 |
Kyoto | Kyoto Terrsa (Day 1), and Online (Day 2, 3) | [Poster Presentation]
Device-Free Walking Direction Estimation Using CSI with Low Acquisition Frequency Keisuke Tamai, Takamochi Kanda, Koji Yamamoto (Kyoto Univ.), Noriyasu Kato, Shunji Taki, Takuya Negishi (Allied Telesis) |
In recent years, research on Channel State Information (CSI) sensing has attracted much attention. In particular, sensin... [more] | |
| EID, ITE-3DMT, ITE-IDY, IEE-OQD, SID-JC [detail] | 2022-10-28 15:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Proposal and Basic Study of Arc 3D Display Using Fresnel Type Scratch Haruto Taguchi, Haruki Mizushina (Tokushima Univ.), Shiro Suyama (Utsunomiya Univ.), Kenji Yamamoto (Tokushima Univ.) EID2022-2 |
We propose a new Arc-3D-image rewriting method utilizing Fresnel structure with high-pixel-density arrangement. Fresnel ... [more] | EID2022-2 pp.5-8 |
| MI | 2022-09-15 14:15 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Study of Detecting Oral Disease Using Oral Images Acquired by a Dermoscope and Deep Learning Yuta Suzuki, Jun Ohya (Waseda Univ.), Toshihiro Okamoto, Nobuyuki Kaibuchi, Katsuhisa Sakaguchi, Kitaro Yoshimitsu (TWMU), Eiji Fukuzawa (Waseda U./Yazaki) MI2022-58 |
In this study, we focused on a device called a dermoscope as a simple and minimally invasive diagnostic tool instead of ... [more] | MI2022-58 pp.39-44 |
| PRMU | 2022-09-14 16:00 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Convolutional Skip Connection for Compressing DNNs with Branched Architectures Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2022-16 |
Although Deep Neural Network (DNN) is a core technology in Computer Vision, it is difficult to implement DNN models beca... [more] | PRMU2022-16 pp.37-42 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 14:30 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Communication Size Reduction of Federated Learning based on Neural ODE Model Yuto Hoshino, Hiroki Kawakami, Hiroki Matsutani (Keio Univ.) NS2022-59 |
(To be available after the conference date) [more] | NS2022-59 pp.157-162 |
| IMQ | 2022-05-27 14:25 |
Tokyo | Classification-ESRGAN
-- Synthesis of super-resolution images based on subject categorization -- Jingan Liu, Atsumu Harada, Naiwala P. Chandrasiri (Kogakuin Univ.) IMQ2022-3 |
In recent years, super-resolution techniques have been significantly developed based on deep learning. In particular, GA... [more] | IMQ2022-3 pp.12-17 |
|
| OPE, OFT, OCS (Joint) [detail] |
2022-02-24 16:00 |
Online | Online | A study of optical power measurement using a infrared image sensor for a remote operated optical path switching node Ryo Koyama, Yoshiteru Abe, Kazunori Katayama (NTT) OFT2021-73 OPE2021-53 |
Optical access network is an important infrastructure of 5G mobile service and incoming Beyond 5G mobile service. These ... [more] | OFT2021-73 OPE2021-53 pp.17-22(OFT), pp.21-26(OPE) |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 16:15 |
Online | Online | A Note on Realizing Adversarial Defense Based on Regularization of Multi-stage Squeeze-and-Excitation Features Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Regularizing deep features is a common adversarial defense method. However, the existing methods do not further explore ... [more] | |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 13:15 |
Online | Online | Compressive Sensing MR Reconstruction Using Generative Adversarial Network and Fresnel Transform of Images Shinya Abe, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
In recent years, there has been several researches on reconstruction methods using deep learning, which can significantl... [more] | |
| PN, MWP, EMT, PEM, IEE-EMT [detail] | 2022-01-28 16:35 |
Online | Online | Propagation characteristics of robot-to-robot communication with low antenna height (2) Akihiro Tatsuta, Hiroyuki Sasai, Motoki Hirose, Akio Shigekane, Hiroyuki Uematsu, Takeshi Ando (Panasonic) PN2021-50 EMT2021-66 MWP2021-55 |
In recent years, there has been an increasing need for automatic driving and remote control by wireless communication of... [more] | PN2021-50 EMT2021-66 MWP2021-55 pp.95-100 |
| RCS, SIP, IT | 2022-01-21 10:55 |
Online | Online | A lossless audio codec based on hierarchical residual prediction Taiyo Mineo, Shouno Hayaru (UEC) IT2021-71 SIP2021-79 RCS2021-239 |
In this study, we propose a novel lossless audio codec that has precise predictive performance from the neural network a... [more] | IT2021-71 SIP2021-79 RCS2021-239 pp.239-244 |
| OFT, OCS, IEE-CMN, ITE-BCT [detail] | 2021-11-19 10:50 |
Online | Online | Super-simplified optical correlation-domain reflectometry Takaki Kiyozumi, Tomoya Miyamae (YNU), Kohei Noda (Tokyo Tech/YNU), Heeyoung Lee (SIT), Kentaro Nakamura (Tokyo Tech), Yosuke Mizuno (YNU) OFT2021-53 |
Optical fiber reflectometry has been widely studied as a method for diagnosing the soundness of fiber networks. Of numer... [more] | OFT2021-53 pp.13-16 |
| MBE, NC (Joint) |
2021-10-28 14:20 |
Online | Online | A Study on Affective BCI Using Reservoir Computing and Fractal Analysis Yuuma Matsuda, Masahiro Nakagawa (NUT) MBE2021-22 |
Today, the Brain Computer Interface (BCI) using EEG for quantification of sensitivity have been studying, and the deep l... [more] | MBE2021-22 pp.26-31 |
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