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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 205  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ICM 2024-03-22
14:20
Okinawa Okinawa Prefectural Museum and Art Museum
(Primary: On-site, Secondary: Online)
Study on identifying fault location technology in multilayer network
Fumika Asai, Hirofumi Takagi, Haruhias Nozue, Kenichi Tayama (NTT) ICM2023-59
It is important to identify the suspected fault location quickly in order to realize the early restoration in the failur... [more] ICM2023-59
pp.71-76
ICM 2024-03-22
16:30
Okinawa Okinawa Prefectural Museum and Art Museum
(Primary: On-site, Secondary: Online)
Demonstration of stable and flexible service provisioning mechanism based on extended autonomous operation technology cooperated with resource control function
Eiji Muramatsu, Kotaro Inoue, Takayuki Kuroda, Yusuke Shinohara, Takanori Iwai (NEC) ICM2023-65
In recent years, autonomous network have been actively studied for the purpose of efficient operation of increasingly co... [more] ICM2023-65
pp.107-112
IA, SITE, IPSJ-IOT [detail] 2024-03-13
14:05
Okinawa Miyakojima City Future Creation Center
(Primary: On-site, Secondary: Online)
Perceptual Hashing Based on CNN Node Responses
Yusei Sugawara, Kaito Hosono, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ.) SITE2023-101 IA2023-107
As technology advances, unauthorized duplication of images has become a serious issue related to copyright infringement.... [more] SITE2023-101 IA2023-107
pp.203-210
NC, MBE
(Joint)
2024-03-12
14:45
Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)
Visualization of the learning process of ResNet revealing its learning dynamics
Ryodo Yuge, Takashi Shinozaki (Kindai Univ.) NC2023-59
We visualize the impact of skip connections, a key element in residual networks (ResNet), and visualize its impact on th... [more] NC2023-59
p.94
HCS 2024-03-03
12:30
Shizuoka Tokoha University(Shizuoka-Kusanagi Campus) Variability analysis of football passing networks before or after a goal
Takuma Masudome, Katsushige Fukushima, Soma Nakamura, Daiki Miyagawa, Genki Ichinose (Shizuoka Univ.) HCS2023-105
In this study, we created passing networks where players are nodes and paths as edges from J1 League football match data... [more] HCS2023-105
pp.98-103
VLD, HWS, ICD 2024-03-01
10:10
Okinawa
(Primary: On-site, Secondary: Online)
Fault Detectable Convolutional Neural Network Circuits With Dual Modular Redundancy Based on Mixed-precision Quantization
Yamato Saikawa, Yuta Owada, Yoichi Tomioka, Hiroshi Saito, Yukihide Kohira (UoA) VLD2023-122 HWS2023-82 ICD2023-111
In safety-critical edge AI systems, circuit failures caused by aging or cosmic ray can lead to serious accidents. Dual M... [more] VLD2023-122 HWS2023-82 ICD2023-111
pp.119-124
IA 2024-01-25
16:40
Tokyo Kwansei Gakuin Univiversity, Marunouchi Campus
(Primary: On-site, Secondary: Online)
[Poster Presentation] Cross-Layer Security Design Considerations for the Latest In-Vehicle Network Architecture
Toyokazu Akiyama (Kyoto Sangyo Univ.) IA2023-72
The architecture of the in-vehicle network is changing dramatically with the introduction of automotive ethernet and the... [more] IA2023-72
pp.65-69
IN, IA
(Joint)
2023-12-22
10:45
Hiroshima Satellite Campus Hiroshima Construction of Hierarchical Network based on Chord and its Evaluation
Ryo Toyama, Akiko Manada (NUT) IA2023-50
In recent years, services over networks have become common, and the traffic volume has been increasing year by year. The... [more] IA2023-50
pp.32-37
ICM, NS, CQ, NV
(Joint)
2023-11-22
09:25
Ehime Ehime Prefecture Gender Equality Center
(Primary: On-site, Secondary: Online)
A Study on Transfer of Decision Tree for Operation of Future Managed Networks
Takaaki Moriya, Takashi Mukai, Manabu Nishio, Ai Tsunoda, Ken Kanishima (NTT) ICM2023-26
When we build a new managed network, we need knowledge to solve various failures that will be occurred in the network. H... [more] ICM2023-26
pp.20-25
PN 2023-11-16
11:00
Ehime
(Primary: On-site, Secondary: Online)
A Reinforcement Learning-Based Multilayer Path Planning Method that Adapts Various Path Requirements
Takafumi Tanaka (NTT) PN2023-38
There has been renewed interest in multilayer networks that integrate layers to realize high-capacity communications dir... [more] PN2023-38
pp.9-14
NC, MBE
(Joint)
2023-10-27
13:55
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
Effect on tuning properties to 1st- and 2nd-order stimuli by inactivation of internal units in Deep Convolutional Neural Network (DCNN)
Anqi Wang, Maryu Horyozaki, Takahisa M. Sanada (IPU) NC2023-26
Object recognition relies not only on luminance, which is considered 1st-order visual feature, but also on more complex ... [more] NC2023-26
pp.6-11
IA 2023-09-22
10:40
Hokkaido Hokkaido Univeristy
(Primary: On-site, Secondary: Online)
OLIViS: An OSINT-Based Lightweight Method for Identifying Video Content Services for Capacity Planning in Backbone ISPs
Yuki Tamura, Fumio Teraoka, Takao Kondo (Keio Univ.) IA2023-23
As of 2022, 66% of Internet traffic is generated by video content services, among which Netflix and YouTube are the domi... [more] IA2023-23
pp.75-82
EA, ASJ-H, ASJ-MA, ASJ-SP 2023-07-03
10:45
Hokkaido   An Idea about Pretraining in EEG Domain
Xianhua Su (Univ. Yamanashi/HDU), Wanzeng Kong, Xuanyu Jin (HDU), Teruki Toya, Kenji Ozawa (Univ. Yamanashi) EA2023-15
Given that pre-training in the EEG domain is currently performed using unsupervised training, this approach can currentl... [more] EA2023-15
pp.58-63
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2023-06-30
15:10
Okinawa OIST Conference Center
(Primary: On-site, Secondary: Online)
Analysis of Mode Connectivity Between Models with Different Hidden Layer Widths
Yusuke Takase, Hidetoshi Shimodaira (Kyoto Univ.) NC2023-20 IBISML2023-20
The property known as mode connectivity, where the weights of two neural networks independently trained using the same d... [more] NC2023-20 IBISML2023-20
pp.129-136
NLP, MSS 2023-03-17
16:45
Nagasaki
(Primary: On-site, Secondary: Online)
Enhancement of functionality in Deep Echo State Network by optimizing leak rate
Shuichi Inoue, Sou Nobukawa (CIT), Haruhiko Nishimura (UOH), Eiji Watanabe (NIBB), Teijiro Isokawa (UOH) MSS2022-110 NLP2022-155
Deep echo state network (Deep-ESN) model consists of multiple reservoir layers, which can respond on layer-specific diff... [more] MSS2022-110 NLP2022-155
pp.231-236
IN 2023-01-20
09:50
Aichi Aichi Industry & Labor Center
(Primary: On-site, Secondary: Online)
Community Detection in Multi-Layer Networks with Controlled Reflection of Layers
Shuhei Nakano, Tsuyoshi Yamashita, Naoki Matsumoto, Kunitake Kaneko (Keio Univ.) IN2022-62
Community detection in multi-layer networks has put an emphasis on identifying the idel reflection of layers. However, t... [more] IN2022-62
pp.64-71
IBISML 2022-12-23
09:40
Kyoto Kyoto University
(Primary: On-site, Secondary: Online)
Effect of memory unit initialization on performance for function approximation
Yuto Terasawa, Jun Ohkubo (Saitama Univ.) IBISML2022-52
Many researchers have proposed various neural network models for learning time-series data, such as RNN, LSTM, and Trans... [more] IBISML2022-52
pp.62-69
PRMU 2022-12-15
10:30
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
Single Image Raindrop Removal Using a Non-local Operator and Feature Maps in the Frequency Domain
Shinya Ezumi, Masaaki Ikehara (Keio Univ.) PRMU2022-34
High-quality raindrop removal is desired for outdoor image processing systems as well as for acquiring good-looking imag... [more] PRMU2022-34
pp.13-18
PRMU 2022-12-15
10:45
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
DN4C -- An Interactive Image Segmentation System Combining Deep Neural Network and Nearest Neighbor Classifier --
Toshikazu Wada, Koji Kamma (Wakayama University) PRMU2022-35
Color/texture based image segmentation can be widely applied to the images for product and/or medical inspection, remote... [more] PRMU2022-35
pp.19-24
SDM 2022-11-11
11:30
Online Online Modeling of Super Steep Subthreshold Slope "PN Body Tied SOI-FET" by using Neural Network
Nakata Kengo, Mori Takayuki, Ida Jiro (Kanazawa Inst. of Tech.) SDM2022-73
In this study, we examined how PN-Body Tied (PNBT) Silicon On Insulator (SOI)-FETs, a novel device structure with steep ... [more] SDM2022-73
pp.44-48
 Results 1 - 20 of 205  /  [Next]  
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