Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
EST, MW, EMCJ, IEE-EMC [detail] |
2024-10-17 09:50 |
Akita |
Akita Art Village Onsen Yupopo (Akita, Online) (Primary: On-site, Secondary: Online) |
Three-dimensional Magnetization property modeling of ferromagnetic materials by nonlinear spring and friction and its application to FDTD analysis Satoru Watanabe, Atsuhiro Nishikata (TokyoTech) EMCJ2024-38 MW2024-91 EST2024-62 |
For ferromagnetic materials widely used in EMC design, etc., it is necessary to represent hysteresis characteristics and... [more] |
EMCJ2024-38 MW2024-91 EST2024-62 pp.12-16 |
RCC, RCS, SeMI, NS, SR, RISING (Joint) |
2024-07-17 10:45 |
Hokkaido |
Hokkaido Citizens Activities Promotion Center (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
[Short Paper]
Population Estimation System from LEO using Smartphone Emitted WLAN signals Futo Noda, Gia Khanh Tran (TokyoTech) SR2024-25 |
Japan has suffered damage from earthquakes many times, including the Great East Japan Earthquake in 2011. There is a 90%... [more] |
SR2024-25 pp.10-12 |
RCC, RCS, SeMI, NS, SR, RISING (Joint) |
2024-07-18 09:00 |
Hokkaido |
Hokkaido Citizens Activities Promotion Center (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
A study on frequency sharing between ground and sky cells by applying beamforming and orthogonal polarization MU-MIMO canceller for cellular mobile system Toshihisa Tsuji, Teruya Fujii (TokyoTech) RCS2024-94 |
To make mobile communication systems available even in the sky, a “three-dimensional spatial cell configuration” has bee... [more] |
RCS2024-94 pp.46-51 |
MVE, VRSJ, IPSJ-EC, IPSJ-HCI, HI-SIG-DeMO, ITE-HI |
2024-06-06 16:20 |
Tokyo |
(Tokyo, Online) (Primary: On-site, Secondary: Online) |
Factors affecting divided attention to multiple objects in VR environment Yuting Huang, Rumi Hisakata, Hirohiko Kaneko (TokyoTech) |
[more] |
|
IN, RCS, NV (Joint) |
2024-05-31 14:15 |
Fukuoka |
Fukuoka University (Fukuoka) |
A Multi-Agent Reinforcement Learning Deployment Method for Multiple UAVs Jin Nakazato (UTOKYO), Gia Khanh Tran (TokyoTech), Katsuya Suto (UEC) RCS2024-25 |
Recently, there has been a growing momentum to enhance society using Digital Twins, with numerous studies on related tec... [more] |
RCS2024-25 pp.45-50 |
PRMU, IPSJ-CVIM |
2024-05-16 15:40 |
Tokyo |
(Tokyo, Online) (Primary: On-site, Secondary: Online) |
Detection of Depression Using Web-Interview Data Cheuk Hee Lam, Nathania Nah, Koichi Shinoda (TokyoTech), Momoko Kitazawa, Yuriko Kaise (Keio), Shunsuke Takagi, Genichi Sugihara (TMD), Taishiro Kishimoto (Keio) PRMU2024-7 |
This paper presents a method for integrating speech, text, and video modalities for multimodal depression detection. Our... [more] |
PRMU2024-7 pp.36-40 |
EA, US (Joint) |
2023-12-22 13:00 |
Fukuoka |
(Fukuoka) |
[Poster Presentation]
Measurement of reflection and transmission characteristics of various materials for airborne ultrasound Kousuke Kozuka, Yuji Wada, Kentaro Nakamura (Tokyotech) US2023-57 |
Application of airborne ultrasound is extending to actuators and haptic devices in addition to ranging and sensing. In t... [more] |
US2023-57 pp.7-12 |
EID, ITE-IDY, ITE-3DMT, SID-JC, IEE-OQD [detail] |
2023-11-02 13:40 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Tokyo, Online) (Primary: On-site, Secondary: Online) |
Reconstruction of full-color images acquired with see-through screen camera using volume holographic optical element Kazuma Ohara, Saori Takeyama, Masahiro Yamaguchi (TokyoTech) |
[more] |
|
SIP |
2023-08-07 14:45 |
Osaka |
Osaka Univ. (Suita) Convention Center (Osaka, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
On optimization over Stiefel manifold based on adaptive Cayley parametrization Keita Kume, Isao Yamada (TokyoTech) SIP2023-50 |
The Stiefel manifold, say St(p,N), is the set of all N-by-p matrices whose column vectors are orthonormal. Optimization ... [more] |
SIP2023-50 p.20 |
ITE-IDY, EID, SID-JC [detail] |
2023-08-04 14:20 |
Online |
Online (Zoom) (Online) |
[Invited Talk]
Organic Light-Emitting Diode Operated by Extremely Low Driving Voltage Seiichiro Izawa (TokyoTech) |
Reducing driving voltage of organic light emitting diodes (OLEDs) is an essential issue for energy conservation. In this... [more] |
|
ET, IPSJ-CLE |
2023-06-17 14:35 |
Tokyo |
Tokyo Metropolitan University (Tokyo, Online) (Primary: On-site, Secondary: Online) |
Estimation feasibility for scores of student's characteristics using essay texts during a fully online class Minoru Nakayama (TokyoTech), Masaki Uto (UEC), Satoru Kikuchi, Hiroh Yamamoto (Shinshu Univ.) ET2023-4 |
The possibility of predicting scores representing student’s characteristics from their essay texts using a machine learn... [more] |
ET2023-4 pp.1-4 |
QIT (2nd) |
2023-05-30 16:05 |
Kyoto |
Katsura Campus, Kyoto University (Kyoto) |
Quantum channel encoding and its applications Yusuke Ogata (TokyoTech), Ryuhei Mori (Nagoya Univ.) |
In this study, we consider a general framework for encoding an unknown quantum channel into a quantum state by oracle ac... [more] |
|
NC, MBE (Joint) |
2023-03-14 16:40 |
Tokyo |
The Univ. of Electro-Communications (Tokyo, Online) (Primary: On-site, Secondary: Online) |
Influence of chromatic stimuli and their irradiation order on features of PLR on both eyes Minoru Nakayama (TokyoTech), Wioletta Nowak, Anna Zarowska (Wroclaw Univ. S&T) MBE2022-67 |
In order to detect a symptom of dementia using pupillary responses, waveform features of pupil light reflex (PLR) on bot... [more] |
MBE2022-67 pp.43-48 |
IBISML |
2022-12-22 15:10 |
Kyoto |
Kyoto University (Kyoto, Online) (Primary: On-site, Secondary: Online) |
Effect of Prior Distribution when Data-Generating Process is in a Neighborhood of Singularities of Learning Machines Nozomi Maki, Sumio Watanabe (TokyoTech) IBISML2022-46 |
Learning machines which have hierarchical structure or latent variables such as deep learning or normal mixtures contain... [more] |
IBISML2022-46 pp.18-23 |
RCC, ITS, WBS |
2022-12-14 11:05 |
Shiga |
Ritsumeikan Univ. BKC (Shiga, Online) (Primary: On-site, Secondary: Online) |
Vehicle Route Detection Network Using Continuous Roadside Units Gunhee Cho, Tao Yu, Jin Nakazato, Kei Sakaguchi (TokyoTech) WBS2022-55 ITS2022-31 RCC2022-55 |
For the purpose of establishing a digital twin society, this paper proposes an object recognition network architecture u... [more] |
WBS2022-55 ITS2022-31 RCC2022-55 pp.114-119 |
SDM |
2022-11-10 17:15 |
Online |
Online (Online) |
[Invited Talk]
Materials Simulation: What Classical Computers Can Do and What Only Quantum Computers Can Do
-- Example of materials simulation platform Quloud-RSDFT -- Yu-ichiro Matsushita (TokyoTech), Jun-ichi Iwata, Taichi Kosugi, Tran Ba Hung, Yusuke Nishiya, Hirofumi Nishi (Quemix) SDM2022-70 |
[more] |
SDM2022-70 pp.28-31 |
AP |
2022-10-19 12:20 |
Gifu |
GIFU CITY CULTURE CENTER (Gifu, Online) (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Research of Millimeter-wave Band Waveguide Slot Array Antenna for Increasing Transmission Capacity in Two-dimensional Quadrature Multiplex Transmission in Rectangular Coordinate System Masashi Fujishiro, Jiro Hirokawa, Takashi Tomura (TokyoTech) AP2022-119 |
One type of MIMO is rectangular-coordinate two-dimensional multiplex transmission (ROM transmission). In this study, we ... [more] |
AP2022-119 pp.105-108 |
EMCJ, MW, EST, IEE-EMC [detail] |
2022-10-13 14:00 |
Akita |
Akita University (Akita, Online) (Primary: On-site, Secondary: Online) |
Calculation for Mutual Coupling of Circular Loop Antenna Pair Seprarated by a Planar Shielding Material Atsuhiro Nishikata (TokyoTech) EMCJ2022-44 MW2022-90 EST2022-54 |
[more] |
EMCJ2022-44 MW2022-90 EST2022-54 pp.48-51 |
ICD, SDM, ITE-IST [detail] |
2022-08-10 13:30 |
Online |
(Online) |
[Invited Talk]
Introducing a new DNN inference chip (Hiddenite) based on hidden network theory Masato Motomura (TokyoTech) |
[more] |
|
NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 09:10 |
Ishikawa |
The Kanazawa Theatre + Online (Ishikawa, Online) (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Toward Federated Learning in Wireless Networks Takayuki Nishio (TokyoTech) RCC2022-31 NS2022-49 RCS2022-92 SR2022-34 SeMI2022-36 |
Federated Learning is a distributed machine learning method. The most important feature of federated learning is that it... [more] |
RCC2022-31 NS2022-49 RCS2022-92 SR2022-34 SeMI2022-36 p.63(RCC), p.118(NS), p.125(RCS), p.71(SR), p.80(SeMI) |