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 |