Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICTSSL, CAS |
2023-01-26 15:00 |
Tokyo |
TBD (Primary: On-site, Secondary: Online) |
Intelligent Traffic Signal Control of a Fukui-Ishibashi Cellular Automaton Traffic Flow Model in order for Reduction of Traffic Jams Takuya Akiyama, Tatsuya Kai (Tokyo Univ. of Science) CAS2022-73 ICTSSL2022-37 |
In this study, A Fukui-Ishibashi cellular automaton traffic flow model is constructed and a new traffic signal control m... [more] |
CAS2022-73 ICTSSL2022-37 pp.62-66 |
QIT (2nd) |
2022-12-08 18:00 |
Kanagawa |
Keio Univ. (Primary: On-site, Secondary: Online) |
Quantum subspace expansion based on fermionic shadow tomography for k-RDM estimation Nayuta Takemori (Osaka Univ.), Nobuyuki Yoshioka (Tokyo Univ.), Wataru Mizukami (Osaka Univ.) |
The reduced density matrix in quantum many-body systems is extremely useful in elaborating physical properties, as it co... [more] |
|
CAS, CS |
2022-03-04 10:05 |
Online |
Online |
Intelligent Signal Control Based on Deep Learning for an Ultradiscrete Traffic Flow Model in order for Reduction of Traffic Jams Yuuki Aoki, Tatsuya Kai (Tokyo Univ. of Science) CAS2021-88 CS2021-90 |
This study develops a new signal control method based on deep learning for an ultradiscrete traffic flow model. Especial... [more] |
CAS2021-88 CS2021-90 pp.75-80 |
SS, MSS |
2022-01-11 13:40 |
Nagasaki |
Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Model Reduction of Boolean Networks Based on Graph Structure Fuma Motoyama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2021-36 SS2021-23 |
A Boolean network (BN) is widely used as a mathematical model for control of gene regulatory networks. Since a gene regu... [more] |
MSS2021-36 SS2021-23 pp.29-34 |
ITS, IEE-ITS, IPSJ-ITS |
2021-09-07 13:30 |
Online |
Online |
Optimal Signal Control Based on Genetic Algorithm for an Ultradiscrete Traffic Flow Model in order for Reduction of Traffic Jams Yuuki Aoki, Tatsuya Kai (Tokyo Univ. of Science) ITS2021-6 |
The purpose of this study is to reduce total number of traffic jams of an ultradiscrete traffic flow model by controllin... [more] |
ITS2021-6 pp.7-11 |
EE, IEE-HCA |
2021-05-27 09:00 |
Online |
Online |
A Power Semiconductor Device Characterization Technique with Deep Learning Image Processing Kosuke Matsumoto, Yoichi Isizuka (Nagasaki Univ.), Noritaka Shigei (Kagoshima Univ.), Takahiro Koga (ANSYS) EE2021-1 |
With the diversification of development themes in the power electronics field, rework in the manufacturing process has b... [more] |
EE2021-1 pp.1-6 |
HWS, VLD |
2019-02-28 13:30 |
Okinawa |
Okinawa Ken Seinen Kaikan |
Selection of Gaussian Mixture Reduction Methods Using Machine Learning Haruki Kazama, Shuji Tsukiyama (Chuo Univ.) VLD2018-113 HWS2018-76 |
Gaussian mixture model is a useful distribution for statistical methods such as statistical static timing analysis, but ... [more] |
VLD2018-113 HWS2018-76 pp.121-126 |
CS, CAS |
2018-03-13 14:05 |
Fukuoka |
Nishijin Plaza, Kyushu University |
Explicit Stabilized Meshless Method for Electromagnetic Analysis Masahiro Nakamura, Tadatoshi Sekine, Yuta Inoue, Hideki Asai (Shizuoka Univ.) CAS2017-155 CS2017-109 |
In the meshless method, the computational domain is discretized by nodes, and flexible shapes can be expressed by the no... [more] |
CAS2017-155 CS2017-109 pp.123-128 |
MBE, NC, NLP (Joint) |
2018-01-27 09:55 |
Fukuoka |
Kyushu Institute of Technology |
NLP2017-94 |
In the update rule of the velocity for PSO, random numbers are stochastically independent of dimensional components. Thi... [more] |
NLP2017-94 pp.45-50 |
MBE, NC, NLP (Joint) |
2018-01-27 14:50 |
Fukuoka |
Kyushu Institute of Technology |
Takahiro Toizumi, Katsutoshi Saeki (Nihon Univ.) NC2017-66 |
In the spinal cord, there is a neural network called CPG, which generates and controls rhythm movement such as walking. ... [more] |
NC2017-66 pp.95-100 |
NLC, TL |
2016-06-04 16:50 |
Hokkaido |
Otaru University of Commerce |
Identification of Tweets that Mention Books
-- Effects of Features, Data Size, and ML Algorithms -- Shuntaro Yada, Kyo Kageura (UTokyo) TL2016-7 NLC2016-7 |
We report performances of a classifier that identify Tweets that Mention Books (TMB) from tweets that contain the same s... [more] |
TL2016-7 NLC2016-7 pp.29-34 |
VLD |
2016-03-02 13:00 |
Okinawa |
Okinawa Seinen Kaikan |
An Algorithm for Reducing Components of a Gaussian Mixture Model 1
-- A Partitioning Method of Components -- Naoya Yokoyama, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.) VLD2015-138 |
In statistical methods, such as statistical static timing analysis (S-STA), Gaussian mixture model (GMM) is a useful too... [more] |
VLD2015-138 pp.155-160 |
VLD |
2016-03-02 13:25 |
Okinawa |
Okinawa Seinen Kaikan |
An Algorithm for Reducing Components of a Gaussian Mixture Model 2
-- A Method for Calculating Sensitivities -- Daiki Azuma, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.), Takashi Kambe (Kinki Univ.) VLD2015-139 |
In statistical methods, such as statistical static timing analysis (S-STA), Gaussian mixture model (GMM) is a useful too... [more] |
VLD2015-139 pp.161-166 |
SP, IPSJ-SLP (Joint) |
2015-07-16 16:20 |
Nagano |
Katakura Suwako Hotel |
Sequence Discriminative Training for Low-Rank Deep Neural Networks Yuuki Tachioka (Mitsubishi Electric), Shinji Watanabe, Jonathan Le Roux, John Hershey (MERL) SP2015-39 |
Deep neural network (DNN) acoustic models outperform conventional Gaussian mixture model (GMM) but the number of paramet... [more] |
SP2015-39 pp.19-24 |
CPSY, IPSJ-EMB, IPSJ-SLDM, DC [detail] |
2015-03-06 16:40 |
Kagoshima |
|
An Algorithm to Reduce Components of a Gaussian Mixture Model Considering Distribution Shape of Each Component Naoya Yokoyama, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.) CPSY2014-170 DC2014-96 |
In statistical methods, such as statistical static timing analysis (S-STA) algorithm, summation and minimum or maximum o... [more] |
CPSY2014-170 DC2014-96 pp.49-54 |
MBE, NC (Joint) |
2014-12-13 15:30 |
Aichi |
Nagoya University |
Simulation analysis of endothelial function and pulse wave velocity Yohei Kondo (Aichi Prefectural Univ.), Yoichi Yamazaki (Aichi Science and Technology Foundation), Yoshimi Kamiyama (Aichi Prefectural Univ.) MBE2014-89 |
It is known that the early sign of atherosclerosis is a reduction of endothelial function. The assessment of FMD (Flow M... [more] |
MBE2014-89 pp.83-88 |
PN, NS, OCS (Joint) |
2014-06-26 15:20 |
Oita |
B-ConPlaza |
Proposal of a distance adaptive optical path planning algorithm for elastic optical network Hitoshi Takeshita, Shinsuke Fujisawa, Tomoyuki Hino, Akio Tajima (NEC) OCS2014-17 |
We will propose a distance adaptive optical path planning algorithm in order to improve bandwidth usage of elastic optic... [more] |
OCS2014-17 pp.25-29 |
HCGSYMPO (2nd) |
2013-12-18 - 2013-12-20 |
Ehime |
Matsuyama Multi-Purpose Community Cente |
Generation of facial expressions based on morphable 3D shape model
-- A trial of emphasizing perceived impressions between pairs of faces representing confusing expressions -- Yudai Arai, Syunsuke Nagata, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.) |
In order to create 3D faces displaying facial expressions, transformation of the face shape from the original straight f... [more] |
|
HCGSYMPO (2nd) |
2012-12-10 - 2012-12-12 |
Kumamoto |
Kumamoto-Shintoshin-plaza |
Generation of Facial Expressions for Novel Face Based on PCA of the 3D Shape Data Representing Various Facial Expressions Marie Amaki, Chisa Watanabe, Syunsuke Nagata, Syunta Yamamoto, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.) |
In order to create 3D face models displaying facial expressions, transformation of the original model representing a str... [more] |
|
LQE, ED, CPM |
2011-11-17 16:05 |
Kyoto |
Katsura Hall,Kyoto Univ. |
High-accuracy equivalent-circuit-model for GaN-GIT bi-directional switch Toshihide Ide, Mitsuaki Shimizu, Xu-Qiang Shen (AIST), Tatsuo Morita, Tetsuzo Ueda, Tsuyoshi Tanaka (Panasonic) ED2011-84 CPM2011-133 LQE2011-107 |
GaN-Gate Injection Transistor(GIT) Bi-directional Switches (BDSWs) is capable of the low on-resistance operation as comp... [more] |
ED2011-84 CPM2011-133 LQE2011-107 pp.55-60 |