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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SDM | 2022-11-10 17:15 |
Online | Online | [Invited Talk]
Materials Simulation: What Classical Computers Can Do and What Only Quantum Computers Can Do
-- Using the materials calculation platform Quloud-RSDFT as an example -- Yu-ichiro Matsushita (TokyoTech), Jun-ichi Iwata, Taichi Kosugi, Tran Ba Hung, Yusuke Nishiya, Hirofumi Nishi (Quemix) |
[more] | |
| AP | 2022-10-19 12:20 |
Gifu | GIFU CITY CULTURE CENTER (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) |
(To be available after the conference date) [more] | |
| EMCJ, MW, EST, IEE-EMC [detail] | 2022-10-13 14:00 |
Akita | Akita University (Primary: On-site, Secondary: Online) |
Calculation for Mutual Coupling of Circular Loop Antenna Pair Seprarated by a Planar Shielding Material Atsuhiro Nishikata (TokyoTech) |
[more] | |
| ICD, SDM, ITE-IST [detail] | 2022-08-10 13:30 |
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 (Primary: On-site, Secondary: Online) |
[Invited Lecture]
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) |
| MW | 2022-03-04 10:30 |
Online | Online | Electromagnetic-wave-absorber design based on terahertz-band measurement results of dielectrics Sangyeop Lee (TokyoTech), Masao Fujita, Masayuki Toyoda (Maxell Ltd.), Kyoya Takano (TUS), Shinsuke Hara, Issei Watanabe, Akifumi Kasamatsu (NICT), Hiroyuki Ito (TokyoTech) MW2021-132 |
[more] | MW2021-132 pp.117-121 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-01 12:45 |
Okinawa | (Primary: On-site, Secondary: Online) |
Incorporating Acoustic and Textual Information for Language Modeling in Code-switching Speech Recognition Roland Hartanto, Kuniaki Uto, Koichi Shinoda (TokyoTech) EA2021-73 SIP2021-100 SP2021-58 |
People who speak two or more languages tend to alternate the language when they are speaking. This particular phenomenon... [more] | EA2021-73 SIP2021-100 SP2021-58 pp.56-63 |
| CQ, MIKA (Joint) |
2021-09-10 12:40 |
Online | Online | [Special Invited Talk]
Toward Communication Efficient Federated Learning Takayuki Nishio (TokyoTech) CQ2021-56 |
Federated Learning (FL) is a machine learning framework that trains models using distributed data. Since FL can utilize ... [more] | CQ2021-56 pp.94-96 |
| ET | 2021-03-06 12:30 |
Online | Online | Evaluation of Program Code Reading Behavior Using Eye Information Hiroto Harada, Minoru Nakayama (TokyoTech) ET2020-66 |
Since the code reading ability may reflect the characteristics of the eye response, the analysis of the eye information ... [more] | ET2020-66 pp.83-86 |
| NC, MBE (Joint) |
2021-03-05 11:20 |
Online | Online | Memory Capacity of Sparse-Coding Hopfield model Implemented on Coherent Ising Machine Ryuta Sasaki, Toru Aonishi (TokyoTech), Kazushi Mimura (Hiroshima City Univ.), Masato Okada (Univ. Tokyo), Yoshihisa Yamamoto (NTT/Stanford Univ.) NC2020-68 |
The coherent Ising machine (CIM) is being developed as one of the Ising computers for solving combinatorial optimization... [more] | NC2020-68 pp.145-150 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-04 16:10 |
Online | Online | Estimation of imagined speech from electrocorticogram with an encoder-decoder model Kotaro Hayashi, Shuji Komeiji (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (TokyoTech), Toshihisa Tanaka (TUAT) EA2020-87 SIP2020-118 SP2020-52 |
Recent advances in signal processing and machine learning technologies have made it possible to estimate and reconstruct... [more] | EA2020-87 SIP2020-118 SP2020-52 pp.164-169 |
| SITE, IA, IPSJ-IOT [detail] | 2021-03-02 10:45 |
Online | Online | Broadcasts with Tree Selection on an Overlay Network Takeshi Kaneko, Kazuyuki Shudo (TokyoTech) SITE2020-49 IA2020-45 |
On an overlay network where a number of nodes work autonomously in a decentralized way, the efficiency of broadcasts has... [more] | SITE2020-49 IA2020-45 pp.64-71 |
| PRMU | 2020-12-17 16:20 |
Online | Online | [Short Paper]
Few-Shot Incremental Learning by Unifying with Variational Autoencoder Keita Takayama, Kuniaki Uto, Koichi Shinoda (TokyoTech) PRMU2020-48 |
We propose a few-shot incremental learning method using a variational autoencoder for deep learning. In incremental lear... [more] | PRMU2020-48 pp.58-62 |
| EMCJ, IEE-EMC | 2020-11-27 13:35 |
Online | Online | Lens Antenna System Design and Beam Focal Field Distribution Measurement in Millimeter-Wave Band Focusing/Parallel Beam Measurement System Takuma Okamoto, Atsuhiro Nishikata (TokyoTech), Masataka Midori, Hiroshi Kurihara (TDK) EMCJ2020-51 |
[more] | EMCJ2020-51 pp.1-6 |
| HIP, HCS, HI-SIGCE [detail] | 2020-05-14 16:10 |
Online | Online | Estimation of recognizing emotions of facial images using EEG features Satoru Waseda, Minoru Nakayama (TokyoTech) HCS2020-10 HIP2020-10 |
Relationship between viewer's scalp potentials and subjective impression during viewing facial emotions was analysed u... [more] |
HCS2020-10 HIP2020-10 pp.47-52 |
| EMCJ, MICT (Joint) |
2020-03-13 11:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Cancelled but technical report was issued) |
Human motion classification by convolutional neural network using signal strength of WBAN Shintaro Sano, Aoyagi Takahiro (TokyoTech) MICT2019-53 |
In this report, human motion classification by convolutional neural networks (CNNs) using the signal strength of WBANs (W... [more] | MICT2019-53 pp.5-9 |
| ET | 2020-03-07 11:25 |
Kagawa | National Institute of Technology, Kagawa Collage (Cancelled but technical report was issued) |
A feasibility of performance assessment using a large scale data set of mutual evaluation Minoru Nakayama (TokyoTech), Masaki Uto (UEC), Filippo Sciarrone (uniroma3), Marco Temperini (Sapienza) ET2019-79 |
Learning performance is often evaluated using a peer assessment setting such as MOOC environment. Their feasibility and ... [more] | ET2019-79 pp.19-22 |
| NS, IN (Joint) |
2020-03-05 09:30 |
Okinawa | Royal Hotel Okinawa Zanpa-Misaki (Cancelled but technical report was issued) |
Shortening Path Lengths on P2P Networks with a Double Sweep Based Technique Takeshi Kaneko, Ryohei Banno, Kazuyuki Shudo (TokyoTech) NS2019-186 |
[more] | NS2019-186 pp.53-58 |
| NS, IN (Joint) |
2020-03-06 15:50 |
Okinawa | Royal Hotel Okinawa Zanpa-Misaki (Cancelled but technical report was issued) |
Contents Caching Strategy based on Related Popularity Kazuki Hirai, Yoshiaki Kitaguchi, Katsunori Yamaoka (TokyoTech) IN2019-148 |
In a content distribution network, continuous access to a group of highly relevant content is increasing. Content distri... [more] | IN2019-148 pp.417-422 |
| HWS, VLD [detail] | 2020-03-04 09:55 |
Okinawa | Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
A Pin-Pair Routing Method for Length Difference Reduction in Set-Pair Routing Kunihiko Wada, Shimpei Sato, Atsushi Takahashi (TokyoTech) VLD2019-95 HWS2019-68 |
In this paper, we propose a Routing method that aims to reduce total wire length and wire length difference for Set-Pair... [more] | VLD2019-95 HWS2019-68 pp.7-12 |
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