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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 61 - 80 of 1113 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ICD 2023-04-11
09:30
Kanagawa
(Primary: On-site, Secondary: Online)
[Invited Lecture] Development of A Variation-Tolerant Processing-In-Memory Architecture Using Discharging Current Calibration
Daiki Kitagata, Shinji Tanaka, Naoya Fujita, Naoaki Irie (REL) ICD2023-8
Processing-in-memory (PIM) has recently been expected to be a key technology for endpoint intelligence since it can dram... [more] ICD2023-8
p.16
CCS 2023-03-26
14:50
Hokkaido RUSUTSU RESORT Performance Analysis for Wireless Power Communication Networks Considering Energy-Request Communication
Ritsuki Ito, Atsuhiro iwaki, Kosuke Sanada, Hiroyuki Hatano, Kazuo Mori (Mie Univ) CCS2022-75
Wireless Power Charging and Communication Network (WPCN) is a network integrating Wireless Information Transmission (WIT... [more] CCS2022-75
pp.69-74
NLP, MSS 2023-03-15
14:00
Nagasaki
(Primary: On-site, Secondary: Online)
On binary periodic orbits in sparse binary neural networks
Hiroki Nonaka, Toshimichi Saito (HU) MSS2022-71 NLP2022-116
This paper studies periodic orbits in a dynamic binary neural network constructed by the signum activation function and ... [more] MSS2022-71 NLP2022-116
pp.49-52
NLP, MSS 2023-03-17
13:50
Nagasaki
(Primary: On-site, Secondary: Online)
An analysis on backbone structure of word co-occurrence networks
Shoudai Tazawa, Yutaka Shimada (Saitama Univ.) MSS2022-102 NLP2022-147
Complex networks observed in the real world contain strongly connected vertex pairs. A set of such vertex pairs and thei... [more] MSS2022-102 NLP2022-147
pp.186-191
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
IA, SITE, IPSJ-IOT [detail] 2023-03-17
14:10
Gunma Maebashi Institute of Technology
(Primary: On-site, Secondary: Online)
A Study on Characteristic Analysis of Similarity Caching on Multi-Stage Cache Network
Ryo Nakamura (Fukuoka Univ.), Noriaki Kamiyama (Ritsumeikan Univ.) SITE2022-65 IA2022-88
(To be available after the conference date) [more] SITE2022-65 IA2022-88
pp.69-76
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-15
11:00
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Evaluating the Efficiency of Anomaly Detection Methods for Temporal Networks Using the Graph Spectrum
Masataka Nagao, Eriko Segawa, Yusuke Sakumoto (Kwansei Gakuin Univ.) CQ2022-83
LAD (Laplacian Anomaly Detection) is a method for detecting anomalies in dynamic networks using the eigenvalues (the gra... [more] CQ2022-83
pp.19-24
RCC, ISEC, IT, WBS 2023-03-14
13:00
Yamaguchi
(Primary: On-site, Secondary: Online)
Exponential Strong Converse for Source Coding with Encoded Side Information -- Comparison with Source Coding with Non-encoded Side Information --
Daisuke Takeuchi, Shun Watanabe (TUAT) IT2022-100 ISEC2022-79 WBS2022-97 RCC2022-97
The source coding problem with encoded side information is considered. A lower bound on the strong converse exponent has... [more] IT2022-100 ISEC2022-79 WBS2022-97 RCC2022-97
pp.209-211
NC, MBE
(Joint)
2023-03-14
09:30
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Dynamical analysis of concurrent and sequential multi-task learning in recurrent neural networks using the graph reduction method
Daichi Sugiyama, Hiroki Kurashige (Tokai Univ.) NC2022-99
Humans and animals can learn multiple tasks. It is common that learning to learn tasks sequentially. However, it is not ... [more] NC2022-99
pp.42-47
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
10:55
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Non-uniqueness of solutions in Physics-informed neural networks
Shuichiro Tsuda, Toshiyuki Tanaka (Kyoto Univ.) PRMU2022-81 IBISML2022-88
PINN is a method of acquiring a neural network that represents the solution of a differential equation by including a co... [more] PRMU2022-81 IBISML2022-88
pp.125-128
IN, NS
(Joint)
2023-03-03
10:30
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
A Design of High-speed Packet Caching in ICN Routers using a Programmable Switch and Computers
Junji Takemasa, Yuki Koizumi, Toru Hasegawa (Osaka Univ.) NS2022-222
This paper presents a high-speed design of packet caching for Information-Centric Networking (ICN) routers built on a hy... [more] NS2022-222
pp.316-321
SIS 2023-03-02
13:50
Chiba Chiba Institute of Technology
(Primary: On-site, Secondary: Online)
Improved accuracy of fake news detection through user stance analysis
Kayato Soga, Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.) SIS2022-44
The spread of fake news has become a serious social problem. In recent years, propagation-based fake news detection meth... [more] SIS2022-44
pp.21-26
PN 2023-03-02
12:00
Okinawa
(Primary: On-site, Secondary: Online)
Conceptual Demonstration of the Reconfigurable Probe over US-Japan Experimantal Network in SC22
Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) PN2022-59
Towards the realization of a secure Beyond 5G infrastructure network, we have proposed the "Reconfigurable In-network Se... [more] PN2022-59
pp.90-95
US 2023-02-28
16:35
Osaka Kindai University (Higashi-osaka) CNN classification of parametric images using moments of ultrasound images for quantitative diagnosis of liver fibrosis
Akiho Isshiki (Chiba Univ.), Dar-In Tai (CGMH), Po-Hsiang Tsui (Chang Gung Univ.), Kenji Yoshida, Tadashi Yamaguchi, Shinnosuke Hirata (Chiba Univ.) US2022-82
The progression of diffuse liver disease and the therapeutic effect can be evaluated by the estimation of liver fibrosis... [more] US2022-82
pp.34-39
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
11:00
Okinawa
(Primary: On-site, Secondary: Online)
Analysis of Noisy-target Training for DNN-based speech enhancement and investigation towards its practical use
Takuya Fujimura, Tomoki Toda (Nagoya Univ.) EA2022-112 SIP2022-156 SP2022-76
Deep neural network (DNN)-based speech enhancement usually uses a clean speech as a training target. However, it is hard... [more] EA2022-112 SIP2022-156 SP2022-76
pp.221-226
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
15:45
Hokkaido Hokkaido Univ. A Residual U-Net Architecture for Shuttlecock Detection
Muhammad Abdul Haq (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU)
Detection of fast-moving shuttlecocks is essential for badminton video analysis. Several methods based on deep learning ... [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
15:35
Hokkaido Hokkaido Univ. Network Performance Analysis and Visualization for Cooperative Automated Driving
Koichi Kambara, Ehsan Javanmardi, Jin Nakazato (UTokyo), Yamada Syunya, Hiroaki Takada, Yousuke Watanabe (Nagoya Univ), Kenya Sato (DU), Manabu Tsukada (UTokyo) ITS2022-76 IE2022-93
In recent years, cooperative automated driving has been attracting attention to improve traffic safety and streamline tr... [more] ITS2022-76 IE2022-93
pp.192-197
NC, NLP 2023-01-29
10:15
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Low complexity of neural activity caused by weak inhibition in spiking neural networks
Jihoon Park (NICT/Osaka Univ.), Yuji Kawai (Osaka Univ.), Minoru Asada (IPUT Univ./Osaka Univ./Chubu Univ./NICT) NLP2022-96 NC2022-80
The balance between excitatory and inhibitory neuronal activities (E/I) is an essential factor to perform normal functio... [more] NLP2022-96 NC2022-80
pp.81-86
NC, NLP 2023-01-29
14:00
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Performance Evaluation of Reservoir Computing in Cultured Neural Systems Using a Spiking Neuron Model
Yoshitaka Ishikawa (Future Univ Hakodate), Takumi Shinkawa (Oita Univ), Takuma Sumi (Tohoku Univ), Hideyuki Kato (Oita Univ), Hideaki Yamamoto (Tohoku Univ), Yuichi Katori (Future Univ Hakodate) NLP2022-102 NC2022-86
The cultured nervous system can be regarded as a physical reservoir. Intracellular Ca2+ ion concentration is measured fr... [more] NLP2022-102 NC2022-86
pp.112-117
EST 2023-01-27
09:30
Okinawa
(Primary: On-site, Secondary: Online)
Traffic volume survey system installed on utility poles using piezo sensor -- Vehicle Passage Detection Technology --
Keisuke Kako, Akihiro Tsuno, Ichiru Miyahashi, Hideaki Kimura (Chubu Univ.) EST2022-89
Conventionally, traffic volume surveys conducted by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) a... [more] EST2022-89
pp.78-83
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