Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
OME |
2024-01-16 15:30 |
Online |
Online |
Characterization of inverse structure OLED devices with n-type doped electron transport layer Kakeru Miyazaki, Masahiro Morimoto, Shigeki Naka (Univ. of toyama) OME2023-81 |
Organic semiconductors have extremely low carrier density and are classified as insulators in terms of conductivity. n-t... [more] |
OME2023-81 pp.18-21 |
OME |
2024-01-16 15:55 |
Online |
Online |
Analysis of Operation Mechanism of OLEDs Using Aminophenylcyclohexane Derivatives Mikihisa Yutani, Masahiro Morimoto, Shigeki Naka (Univ. of Toyama) OME2023-82 |
1,1-bis((di-4-tolylamino)phenyl)cyclohexane (TAPC) shows a variety of emission modes such as monomer and excimer emissio... [more] |
OME2023-82 pp.22-25 |
EE, CPM, OME |
2023-12-08 14:45 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Study of organic solar cell compared with widegap hole transport layers having different HOMO level Yuki Ichise, Masahiro Morimoto, Shigeki Naka (Toyama Univ.) EE2023-31 CPM2023-87 OME2023-58 |
The light absorption spectrum of the active layer greatly affects the photoelectric conversion characteristics in organi... [more] |
EE2023-31 CPM2023-87 OME2023-58 pp.37-40 |
SITE, IPSJ-EIP |
2023-06-13 11:15 |
Tokyo |
Rissho Univ. Shinagawa Campus |
A Study on Quality Control Based on Consumer Demands in Small and Medium-sized Manufacturing Industries Masahiro Morita (Matsuyama Jr. Coll.) SITE2023-2 |
This study underscores the importance of quality management based on consumer demands for small and medium-sized manufac... [more] |
SITE2023-2 pp.5-12 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 11:40 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Novel Adversarial Attacks Based on Embedding Geometry of Data Manifolds Masahiro Morita, Hajime Tasaki, Jinhui Chao (Chuo Univ.) PRMU2022-84 IBISML2022-91 |
It has been shown recently that adversarial examples inducing misclassification by deep neural networks exist in the ort... [more] |
PRMU2022-84 IBISML2022-91 pp.140-145 |
OME, IEE-DEI |
2022-07-19 09:45 |
Nagano |
Karuizawa-machi Tourism promotion center (Primary: On-site, Secondary: Online) |
CO2 laser patterning of ITO electrode for Organic Light-emitting Diode devices Tatsuya Hatasa, Masahiro Morimoto, Shigeki Naka (Univ. Toyama) OME2022-19 |
Laser patterning using a CO2 laser was examined as a simple patterning technique for ITO electrodes, and an organic ligh... [more] |
OME2022-19 pp.26-30 |
BioX, ISEC, SITE, ICSS, EMM, HWS, IPSJ-CSEC, IPSJ-SPT [detail] |
2021-07-20 15:55 |
Online |
Online |
Applying Transcreation to Development of Programing Education
-- Creation and Utilization of Transcreation Scale -- Masahiro Morita (Matsuyama Junior College) ISEC2021-38 SITE2021-32 BioX2021-39 HWS2021-38 ICSS2021-43 EMM2021-43 |
This research aims to develop a programming education method that leads to the promotion of learning behavior motivation... [more] |
ISEC2021-38 SITE2021-32 BioX2021-39 HWS2021-38 ICSS2021-43 EMM2021-43 pp.174-181 |
SeMI |
2021-01-20 13:20 |
Online |
Online |
A Study of Online Training Method for Image-based Wireless Link Quality Prediction Sohei Itahara (Kyoto Univ), Takayuki Nishio (Tokyo Tech), Masahiro Morikura, Koji Yamamoto (Kyoto Univ) SeMI2020-44 |
Machine-learning-based prediction of future wireless link quality is an emerging technique that can potentially improve ... [more] |
SeMI2020-44 pp.7-9 |
SRW, SeMI, CNR (Joint) |
2020-11-26 16:00 |
Online |
Online |
[Poster Presentation]
Feature Extraction Method for Wireless LANs Channel Selection Based on Contextual Bandit Learning Kota Yamashita (Kyoto Univ.), Shotaro Kamiya (Sony Corp.), Koji Yamamoto (Kyoto Univ.), Takayuki Nishio (Tokyo Tech.), Masahiro Morikura (Kyoto Univ.) SeMI2020-24 |
[more] |
SeMI2020-24 pp.39-42 |
SRW, SeMI, CNR (Joint) |
2020-11-26 16:00 |
Online |
Online |
[Poster Presentation]
Adversarial Reinforcement Learning-based Robust Access Point Coordination Against Uncoordinated Interference Yuto Kihira, Yusuke Koda, Koji Yamamoto (Kyoto Univ.), Takayuki Nishio (Tokyo Tech.), Masahiro Morikura (Kyoto Univ.) SeMI2020-25 |
[more] |
SeMI2020-25 pp.43-46 |
SeMI |
2020-01-31 10:00 |
Kagawa |
|
[Poster Presentation]
Communication-Efficient Federated Learning Using Non-Labeled Data Souhei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ) SeMI2019-109 |
Federated learning (FL) is a machine learning setting where many mobile devices collaboratively train a machine learning... [more] |
SeMI2019-109 pp.47-48 |
SeMI |
2020-01-31 10:00 |
Kagawa |
|
[Poster Presentation]
Experimental Evaluation of Federated Learning in Real Networks Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ.) SeMI2019-110 |
Federated Learning (FL) is a decentralized learning mechanism, which enables to train machine learning (ML) models using... [more] |
SeMI2019-110 pp.49-50 |
SeMI |
2020-01-31 10:00 |
Kagawa |
|
[Poster Presentation]
A Study of MCS Index Prediction Using Depth Images for Bit-Rate Control in mmWave Communications Tomoya Mikuma, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.), Yusuke Asai, Ryo Miyatake (NTT) SeMI2019-111 |
In millimeter-wave (mmWave) communications, link quality is decreased seriously when a line-of-sight (LOS) path is block... [more] |
SeMI2019-111 pp.51-52 |
SeMI |
2020-01-31 10:00 |
Kagawa |
|
[Poster Presentation]
Sequential WLAN Channel Selection for Mitigating Performance Degradation of Factors Outside System Kazuki Ohtsu, Shotaro Kamiya, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.), Noriyasu Kato (Allied Telesis) SeMI2019-106 |
We propose a sequential channel allocation method based on multi-objective multi-armed bandit problems.
The proposed me... [more] |
SeMI2019-106 pp.41-42 |
KBSE |
2020-01-25 10:20 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Proposal and Practice of Agile Software Development Process for Undergraduate Students Masahiro Morita, Soma Kachi, Chisato Murakami, Yutaka Matsuno (Nihon Univ) KBSE2019-38 |
[more] |
KBSE2019-38 pp.1-6 |
OME |
2020-01-24 14:50 |
Ishikawa |
Shiinoki-Geihinkan (Kanazawa) |
Study on device structure of organic solar cells with red light emitting function Yusuke Shimmura, Masahiro Morimoto, Shigeki Naka (Univ. of Toyama) OME2019-62 |
[more] |
OME2019-62 pp.13-16 |
RISING (2nd) |
2019-11-26 14:10 |
Tokyo |
Fukutake Learning Theater, Hongo Campus, Univ. Tokyo |
[Poster Presentation]
A Study for Knowlage Distillation Based Semi-Supervised Federated Learning with Low Communication Cost Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ) |
Federated Learning is a decentralized learning mechanism, which enables to train machine learning (ML) model using the r... [more] |
|
RISING (2nd) |
2019-11-27 13:55 |
Tokyo |
Fukutake Learning Theater, Hongo Campus, Univ. Tokyo |
[Poster Presentation]
Handover Control for mmWave Networks with Proactive Performance Prediction Using Depth Images and Deep Reinforcement Learning Yusuke Koda, Kota Nakashima, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.) |
[more] |
|
RISING (2nd) |
2019-11-27 13:55 |
Tokyo |
Fukutake Learning Theater, Hongo Campus, Univ. Tokyo |
[Poster Presentation]
A Study of mmWave Received Power Prediction from Depth Images Takayuki Nishio, Koji Yamamoto, Masahiro Morikura (Kyoto Univ.) |
[more] |
|
SRW, SeMI, CNR (Joint) |
2019-11-06 13:25 |
Tokyo |
Kozo Keisaku Engineering Inc. |
[Poster Presentation]
A Study of Received Power Prediction Using Ray-tracing Simulation and Deep Learning for mmWave Communications Masahiro Iwasaki, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ) SRW2019-34 SeMI2019-78 CNR2019-28 |
Machine learning based received power prediction has been studied. These methods learn Features such as surrounding map ... [more] |
SRW2019-34 SeMI2019-78 CNR2019-28 pp.53-54(SRW), pp.73-74(SeMI), pp.51-52(CNR) |