Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
OFT |
2023-10-12 13:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Residual Dispersion Dependence of Optical QPSK Signal Demodulation using a Parzen Window with Inter-Symbol Interference Shoma Ito, Hirokazu Kubota, Yuji Miyoshi (Osaka Metropolitan Univ.) |
(To be available after the conference date) [more] |
|
MIKA (3rd) |
2023-10-11 14:30 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Pollen quantity estimation method during the flowering period of pears Keita Endo (NIT), Tomotaka Kimura (Doshisha Univ.), Hiroyuki Shimizu (NIT), Tomohito Shimada (SATRC), Akane Shibasaki (SAFPC), Ryota Fujinuma (DKK), Yoshihiro Takemura (Tottori Univ.), Takefumi Hiraguri (NIT) |
(To be available after the conference date) [more] |
|
NS |
2023-10-05 10:10 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Communication Scheduling Based on Heuristic Algorithm in Distributed Deep Learning Ryudai Fukuda, Takuji Tachibana (Univ. Fukui) NS2023-86 |
(To be available after the conference date) [more] |
NS2023-86 pp.83-88 |
NS |
2023-10-06 15:20 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Incentive Mechanism Considering Heterogeneous Privacy Demand Level in Federated Learning with Differential Privacy Shota Miyagoshi, Takuji Tachibana (Univ. Fukui) NS2023-104 |
(To be available after the conference date) [more] |
NS2023-104 pp.162-167 |
IBISML |
2023-09-08 |
Osaka |
Osaka Metropolitan University (Nakamozu Campus) (Primary: On-site, Secondary: Online) |
Proposal of a Learning Time Reduction Algorithm in Machine Learning through Input Data Abstraction Tsubasa Sakoda IBISML2023-27 |
In this research, I attempt to reduce the learning time of machine learning by using simple calculation such as averagin... [more] |
IBISML2023-27 pp.12-15 |
MI |
2023-09-08 11:20 |
Osaka |
(Primary: On-site, Secondary: Online) |
A Study on Identifying Gender Differences Using Deep Learning from Retinal Fundus Images Shota Tsutsui (Waseda Univ.), Ichiro Maruko, Moeko Kawai (TWMU), Yoichi Kato, Jun Ohya (Waseda Univ.) MI2023-17 |
Previous studies show that a properly designed and trained deep learning algorithm is capable to identify the gender of ... [more] |
MI2023-17 pp.8-11 |
AP |
2023-08-31 13:25 |
Tokyo |
KOZO KEIKAKU ENGINEERING Inc. (Primary: On-site, Secondary: Online) |
2-layer Joint Interference Coordination for A Cellular System with Cluster-wise Distributed MU-MIMO Chang Ge, Sijie Xia, Qiang Chen, Fumiyuki Adachi (Tohoku Univ.) AP2023-70 |
In a cellular system with distributed MU-MIMO, virtual small cells (called the user-clusters) are formed to reduce the h... [more] |
AP2023-70 pp.21-24 |
CQ, MIKA (Joint) |
2023-08-31 16:20 |
Fukushima |
Tenjin-Misaki Sports Park |
Enhancing Communication Efficiency for UAV Networks through Knowledge Distillation and Transfer Learning in Federated Learning Yalong Li, Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga (UEC) CQ2023-30 |
Federated learning (FL) in unmanned aerial vehicles (UAVs) networks demands considerable communication resources to tran... [more] |
CQ2023-30 pp.26-31 |
CQ, MIKA (Joint) (2nd) |
2023-08-30 15:00 |
Fukushima |
Tenjin-Misaki Sports Park |
[Poster Presentation]
Estimation of the timing suitable for collect pear pollen using machine learning Keita Endo (NIT), Tomotaka Kimura (Doshisha Univ.), Hiroyuki Shimizu (NIT), Tomohito Shimada (SATRC), Akane Shibasaki (SAFPC), Ryota Fujinuma (DKK), Yoshihiro Takemura (Tottori Univ.), Takefumi Hiraguri (NIT) |
Pear pollination is generally done by artificial pollination, which requires the collection of pollen. Pollen collection... [more] |
|
SIP |
2023-08-08 13:30 |
Osaka |
Osaka Univ. (Suita) Convention Center (Primary: On-site, Secondary: Online) |
Twofold Signed Graph Learning for Multimodal Graph Signals Haruki Yokota, Yuichi Tanaka (OU) SIP2023-58 |
Multimodal signals measured by multiple sensors distributed in space may be spatially smooth and show both positive and ... [more] |
SIP2023-58 pp.55-59 |
SIP |
2023-08-08 14:40 |
Osaka |
Osaka Univ. (Suita) Convention Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
Recent Development on Acoustic Echo Canceller Kenta Iwai (Ritsumeikan Univ.) SIP2023-61 |
In hands-free tele-communication systems, acoustic echo occurs and disturbs the speech communication. To reduce the acou... [more] |
SIP2023-61 pp.71-76 |
CS |
2023-07-27 11:33 |
Tokyo |
Hachijo-machi Chamber of Commerce and Industry |
Pear Flower Counting Method Using DeepSort Kohei Tsunewaki, Tomotaka Kimura (Doshisha Univ.), Hiroyuki Shimizu, Takefumi Hiraguri (NIT), Tomohito Shimada (SATRC), Yoshihiro Takemura (Tottori Univ.) CS2023-39 |
In this paper, we consider a pear flower counting method using DeepSort to establish a pollination system using a small ... [more] |
CS2023-39 pp.76-78 |
CS |
2023-07-27 11:36 |
Tokyo |
Hachijo-machi Chamber of Commerce and Industry |
Real-time Size Estimation System for Sweet Potatoes Kota Hatajiri, Tomotaka Kimura (Doshisha Univ.), Hiroyuki Shimizu, Takehumi Hiraguri (NIT) CS2023-40 |
In this paper, we consider a real-time system for determining the size of sweet potatoes using machine learning. When sw... [more] |
CS2023-40 pp.79-80 |
EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] |
2023-07-24 15:00 |
Hokkaido |
Hokkaido Jichiro Kaikan |
Tolerance Evaluation Cost Reduction of Deep-Learning-Based Side-Channel Attack Using Signal-to-Noise Ratio of Leakage Traces Tatsuya Sakagami, Masaki Himuro, Kengo Iokibe, Yoshitaka Toyota (Okayama Univ.) ISEC2023-17 SITE2023-11 BioX2023-20 HWS2023-17 ICSS2023-14 EMM2023-17 |
Side-channel attacks (SCA) have been proposed to decrypt modern cryptography by analyzing the physical behavior of crypt... [more] |
ISEC2023-17 SITE2023-11 BioX2023-20 HWS2023-17 ICSS2023-14 EMM2023-17 pp.19-24 |
MSS, CAS, SIP, VLD |
2023-07-06 14:40 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Convergence Acceleration of Particle-based Variational Inference by Deep Unfolding Yuya Kawamura, Satoshi Takabe (Tokyo Tech) CAS2023-8 VLD2023-8 SIP2023-24 MSS2023-8 |
Stein Variational Gradient Descent(SVGD) is a prominent particle-based variational inference method used for estimating ... [more] |
CAS2023-8 VLD2023-8 SIP2023-24 MSS2023-8 pp.37-42 |
MSS, CAS, SIP, VLD |
2023-07-07 11:20 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Enhancing Glycan Recognition Pattern Learning with Tree-Structured Data Mining Kento Totsuka, Norihiko Shinomiya, Kiyoko Kinoshita, Masae Hosoda (Soka Univ.) CAS2023-20 VLD2023-20 SIP2023-36 MSS2023-20 |
In recent times, the rapid proliferation of semi-structured data has been primarily fueled by the emergence of the World... [more] |
CAS2023-20 VLD2023-20 SIP2023-36 MSS2023-20 pp.97-101 |
PN, NS, OCS (Joint) |
2023-06-09 10:50 |
Kagawa |
(Primary: On-site, Secondary: Online) |
A New Framework for Improving Inter-protocol Fairness of Congestion Control Algorihtms Satoshi Utsumi, Shogo Okada (Fukushima Univ.), Salahuddin Muhammad Salim Zabir (NIT, Tsuruoka College) NS2023-29 |
CUBIC and BBR are widely used as congestion control algorithms in the current Internet. When deploying new congestion co... [more] |
NS2023-29 pp.59-64 |
QIT (2nd) |
2023-05-30 10:00 |
Kyoto |
Katsura Campus, Kyoto University |
A new initial distribution for qGAN to load probability distributions Yuichi Sano, Ryosuke Koga (Kyoto Univ.), Masaya Abe, Kei Nakagawa (Nomura Asset Management) |
Quantum computers are gaining attention for their ability to solve certain problems faster than classical computers, and... [more] |
|
QIT (2nd) |
2023-05-29 16:30 |
Kyoto |
Katsura Campus, Kyoto University |
[Poster Presentation]
Improving the Performance of Quantum GANs through Label Replacement Ryosuke Koga, Yuichi Sano (Kyoto Univ.), Ikko Hamamura (IBM) |
Instead of Monte Carlo simulations for numerical integration, we can use a quantum expectation estimation algorithm, whi... [more] |
|
MICT, WBS, RCC, SAT (Joint) [detail] |
2023-05-26 11:40 |
Tokyo |
TOKYO BIG SIGHT (Primary: On-site, Secondary: Online) |
A study on modulation and demodulation methods applying object detection DNN for digital signage and image sensor-based visible light communication Yuya Miki, Kentaro Kobayashi, Wataru Chujo (Meijo Univ) WBS2023-8 RCC2023-8 |
This study discusses a visible light communication system using a digital signage as a transmitter and an image sensor a... [more] |
WBS2023-8 RCC2023-8 pp.41-46 |