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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 546  /  [Next]  
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
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