Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
EMCJ |
2023-11-24 13:25 |
Tokyo |
Kikai-Shinko-Kaikan (Primary: On-site, Secondary: Online) |
A Study on Explainability of Convolutional Neural Network Predicting Electric Characteristics of Automotive Wire Harness Based on Score Regression Activation Mapping (Score-RAM) Syumpei Ebina, Tadatoshi Sekine, Shin Usuki, Kenjiro T. Miura (Shizuoka Univ.) EMCJ2023-74 |
In this report, we propose score regression activation mapping (Score-RAM) based on explainable artificial intelligence.... [more] |
EMCJ2023-74 pp.13-18 |
MW, EMCJ, EST, IEE-EMC [detail] |
2023-10-19 09:00 |
Yamagata |
Yamagata University (Primary: On-site, Secondary: Online) |
A Study on Coaxial-Probe-Based Measurement Method for EM-parameters of Absorbers on a Cylinder Surface Sho Kato, Chun-Ping Chen, Takaharu Hiraoka, Tetsuo Anada (Kanagawa Univ.) EMCJ2023-35 MW2023-89 EST2023-62 |
With the development of wireless communication technology, a wide range of objects can be connected to the Internet, fac... [more] |
EMCJ2023-35 MW2023-89 EST2023-62 pp.1-6 |
NC, NLP |
2023-01-29 15:55 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Indoor air quality prediction using multi-reservoir echo state network with attention mechanism Wenrui Qiu, Gouhei Tanaka (UTokyo) NLP2022-106 NC2022-90 |
Indoor air quality (IAQ) is a critical matter of concern in terms of its impact on public health and well-being. Researc... [more] |
NLP2022-106 NC2022-90 pp.135-140 |
EMT, IEE-EMT |
2022-11-18 13:25 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Invited Lecture]
On Electromagnetic Field Simulation Using Physics-Informed Deep Learning Kazuhiro Fujita (Saitama IT) EMT2022-59 |
Physical laws appeared in the fields of physics and engineering can be described by partial differential equations in ma... [more] |
EMT2022-59 pp.85-88 |
PN |
2022-08-29 09:55 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Comparison of overfitting in ANN- and VSTF-based nonlinear equalizers to repeated random bit patterns Kai Ikuta, Nakamura Jinya, Motai Daisuke, Nakamura Moriya (Meiji Univ.) PN2022-9 |
We compared the overfitting characteristics of artificial-neural-network- (ANN-) and Volterra-series-transfer-function- ... [more] |
PN2022-9 pp.5-9 |
CS |
2022-07-15 14:50 |
Kagoshima |
Yakushima Environmental and Cultural Village Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
Optical Eigenvalue Demodulation Using Complex Moment-based Eigenvalue Solver Yuhei Terashi, Daisuke Hisano, Ken Mishina (Osaka Univ.), Yuki Yoshida (NICT), Akihiro Maruta (Osaka Univ.) CS2022-37 |
Optical eigenvalue modulation has been attracting attention as an ideal modulation not affected by chromatic dispersion ... [more] |
CS2022-37 pp.104-109 |
VLD, HWS [detail] |
2022-03-07 15:05 |
Online |
Online |
Low-Energy and Fast Inference Method for Spiking Neural Networks Using Dynamic Threshold Adjustment Takehiro Habara, Hiromitsu Awano (Kyoto Univ.) VLD2021-87 HWS2021-64 |
Conventional SNNs have fixed thresholds that determine the possibility of neuron firing, resulting in degradation of inf... [more] |
VLD2021-87 HWS2021-64 pp.57-62 |
OCS, CS (Joint) |
2022-01-13 14:05 |
Yamaguchi |
Conference room 204A・B at KDDI Ishin-hall (Primary: On-site, Secondary: Online) |
Impact of Range of Eigenvalue Extraction on Demodulation Method using Complex Moment-based Eigenvalue Solver Yuhei Terashi, Daisuke Hisano, Ken Mishina (Osaka University), Yuki Yoshida (NICT/Osaka University), Akihiro Maruta (Osaka University) CS2021-68 |
Optical eigenvalue modulation has been attracting attention as an ideal modulation not affected by chromatic dispersion ... [more] |
CS2021-68 pp.1-6 |
PRMU |
2021-12-16 16:45 |
Online |
Online |
Supervoxel-based Explanation for Action Recognition Ying Ji (Nagoya Univ.), Yu Wang (Ritsumeikan Univ.), Kensaku Mori (Nagoya Univ.), Jien Kato (Ritsumeikan Univ.) PRMU2021-42 |
Deep neural network has shown remarkable performance in various areas, including image classification, action recognitio... [more] |
PRMU2021-42 pp.98-100 |
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] |
2021-03-26 11:00 |
Online |
Online |
An Estimation Method of a Defect Types for Suspected Fault Lines in Logical Faulty VLSI Using Neural Networks Natsuki Ota, Toshinori Hosokawa (Nihon Univ.), Koji Yamazaki (Meiji Univ.), Yukari Yamauchi, Masayuki Arai (Nihon Univ.) CPSY2020-61 DC2020-91 |
Since fault diagnosis methods for specified fault models might cause misprediction and non-prediction, a fault diagnosis... [more] |
CPSY2020-61 DC2020-91 pp.67-72 |
SIS |
2021-03-04 15:50 |
Online |
Online |
[Invited Talk]
A Proposal in Order to use AI Safely for Control Nobuyasu Kanekawa (Hitachi) SIS2020-50 |
The research of the deep learning which developed the "neural Network" proposed by the second AI (artificial intelligenc... [more] |
SIS2020-50 pp.83-87 |
PN |
2021-03-01 14:55 |
Online |
Online |
[Invited Lecture]
CFO estimation in eigenvalue-domain and its application to neural network-based demodulation for eigenvalue-modulated signal Ken Mishina, Takaya Maeda (Osaka Univ.), Yuki Yoshida (NICT), Daisuke Hisano, Akihiro Maruta (Osaka Univ.) PN2020-45 |
An eigenvalue-domain (ED) artificial neural network (ANN)-based demodulation method for eigenvalue-modulated signals has... [more] |
PN2020-45 pp.20-25 |
IA |
2020-10-01 11:15 |
Online |
Online |
Malicious URLs Detection Using an Integrated AI Framework Bo-Xiang Wang, Ren-Feng Deng, Yi-Wei Ma, Jiann-Liang Chen (NTUST) IA2020-1 |
Malicious attacks on computer networks are quite common, and the internet attacks are even more widespread, such as Malv... [more] |
IA2020-1 pp.1-5 |
SCE |
2020-01-17 13:15 |
Kanagawa |
|
[Poster Presentation]
Investigation of logic gate using bi-directionally-coupled quantum flux parametron array Kohei Miyake, Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama Natl. Univ.) SCE2019-59 |
We study a bi-directionally-coupled quantum-flux-parametron (QFP) array as a new configuration method of a superconducti... [more] |
SCE2019-59 pp.121-124 |
NC, MBE |
2019-12-06 10:10 |
Aichi |
Toyohashi Tech |
Implementation of Cerebellar Spiking Neural Network Model on a FPGA Yusuke Shinji (Chubu Univ.), Hirotsugu Okuno (OIT), Yutaka Hirata (Chubu Univ.) MBE2019-46 NC2019-37 |
The cerebellum is crucially involved in motor control and learning. Its neuronal network architecture and firing propert... [more] |
MBE2019-46 NC2019-37 pp.7-12 |
RISING (2nd) |
2019-11-26 10:30 |
Tokyo |
Fukutake Learning Theater, Hongo Campus, Univ. Tokyo |
[Poster Presentation]
Application of Machine Learning to Optical Eigenvalue Communication Ken Mishina, Shohei Yamamoto (Osaka Univ.), Yuki Yoshida (NICT), Daisuke Hisano, Akihiro Maruta (Osaka Univ.) |
Development and innovations of transmission technology that will increase the transmission capacity of optical communica... [more] |
|
OCS, PN, NS (Joint) |
2019-06-20 13:00 |
Iwate |
MALIOS(Morioka) |
Overestimation of Artificial Neural Network and Volterra Series Transfer Function in PRBS Based Signal Quality Evaluation Kai Ikuta, Yuta Otsuka, Yuta Fukumoto, Moriya Nakamura (Meiji Univ.) OCS2019-13 |
We compared overestimation problem of Volterra series transfer function (VSTF) with that of artificial neural network (A... [more] |
OCS2019-13 pp.17-20 |
SDM, ED, CPM |
2019-05-16 16:15 |
Shizuoka |
Shizuoka Univ. (Hamamatsu) |
Evaluation of switching characteristics of Ta2O5-δ based analog resistive memory using Cu and Ta top electrode Yuanlin Li, Atsushi Tsurumaki-Fukuchi, Masashi Arita (Hokkaido Univ.), Takashi Morie (Kyushu Inst. Tech.), Yasuo Takahashi (Hokkaido Univ.) ED2019-16 CPM2019-7 SDM2019-14 |
We present the differences of two mechanisms’ initial states and multilevel switching behavior using Ta2O5-δ ReRAM. For ... [more] |
ED2019-16 CPM2019-7 SDM2019-14 pp.29-34 |
MoNA |
2018-12-25 14:00 |
Tokyo |
|
Emotions detection scheme using facial skin temperature and heart rate Kahil Mustafa Jamal S, Eiji Kamioka (SIT) MoNA2018-47 |
The main aim of this study is to detect emotions based on facial skin temperature and Heart Rate (HR) Using thermals cam... [more] |
MoNA2018-47 pp.49-54 |
QIT (2nd) |
2018-11-26 13:30 |
Tokyo |
The University of Tokyo |
[Poster Presentation]
Quantum Algorithm for Supervised Deep Learning Yasuhito Kawano (NTT), Hiroshi Sekigawa (TUS) |
The estimation problem of weights of a feed-forward neural network can be regarded as the problem of solving linear equa... [more] |
|