Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCS, SR, SRW (Joint) |
2024-03-15 09:45 |
Tokyo |
The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Consideration of Space Network Utilization in 6G Eiji Okamoto (NITech) RCS2023-282 SR2023-105 SRW2023-69 |
Non-terrestrial networks (NTNs) are expected to be an effective means of “super coverage extension” to remote areas on t... [more] |
RCS2023-282 SR2023-105 SRW2023-69 p.131(RCS), p.63(SR), p.96(SRW) |
NS, IN (Joint) |
2024-02-29 09:20 |
Okinawa |
Okinawa Convention Center |
A Programmable Switch-based CCN Traffic Generator for Evaluating Tbps-class Cache Performance Yusuke Endo, Junji Takemasa, Yuki Koizumi, Toru Hasegawa (Osaka Univ.) NS2023-178 |
Benchmarking Content-Centric Networking (CCN) router implementations is becoming an important task as many high-speed ro... [more] |
NS2023-178 pp.38-43 |
DC |
2024-02-28 13:40 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Test Point Selection Method for Multi-Cycle BIST Using Deep Reinforcement Learning Kohei Shiotani, Tatsuya Nishikawa, Shaoqi Wei, Senling Wang, Hiroshi Kai, Yoshinobu Higami, Hiroshi Takahashi (Ehime Univ.) DC2023-98 |
Multi-cycle BIST is a test method that performs multiple captures for each scan pattern, proving effective in reducing t... [more] |
DC2023-98 pp.23-28 |
NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 11:10 |
Tokushima |
Naruto University of Education |
Realization of Finite Automata using Heteroclinic Mechanism in Continuous-Time Recurrent Networks Naoya Sugawara, Asaki Saito (Future Univ. Hakodate) NLP2023-105 MICT2023-60 MBE2023-51 |
In this study, we propose a method to construct a continuous-time recurrent network that operates with small inputs and ... [more] |
NLP2023-105 MICT2023-60 MBE2023-51 pp.102-105 |
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 |
QIT (2nd) |
2023-12-17 17:30 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Analysis of Discrete Modern Hopfield Networks in Open Quantum System Takeshi Kimura, Kohtaro Kato (Nagoya Univ.) |
Hopfield Networks, a well-known model of associative memory, defines energy function and time evolution.Recently, a new ... [more] |
|
NC, MBE (Joint) |
2023-11-27 15:20 |
Osaka |
Kindai Univ. (Primary: On-site, Secondary: Online) |
Connection sparsification in hysteresis associative memories Shinya Kujirai, Toshimichi Saito (HU) NC2023-37 |
This paper studies stability of multiple equilibrium points in hysteresis neural networks as associative memories. The n... [more] |
NC2023-37 pp.16-19 |
NLP, CAS |
2023-10-06 16:00 |
Gifu |
Work plaza Gifu |
Operaton analysis in sparse binary neural networks Hiroki Nonaka, Toshimichi Saito (HU) CAS2023-45 NLP2023-44 |
This paper studies periodic orbits in a dynamic binary neural network constructed by the signum activation function and ... [more] |
CAS2023-45 NLP2023-44 pp.66-69 |
CS |
2023-07-28 14:50 |
Tokyo |
Hachijo-machi Chamber of Commerce and Industry |
Improving position estimation accuracy method by reducing RSSI fluctuations in BLE fingerprinting-based indoor positioning Jingshi Qian, Nobuyoshi Komuro (Chiba Univ.) CS2023-58 |
The complex indoor environment will reflect and absorb the RSSI (Received Signal Strength Indicator) from the sensor. Be... [more] |
CS2023-58 pp.163-168 |
CCS, NLP |
2023-06-09 10:45 |
Tokyo |
Tokyo City Univ. |
Analysis and synthesis of dynamic binary neural networks: a short review Toshimichi Saito, Mikito Onuki (HU) NLP2023-20 CCS2023-8 |
Discrete-time recurrent neural networks are dynamical systems characterized by nonlinear activation functions and connec... [more] |
NLP2023-20 CCS2023-8 pp.31-34 |
NS |
2023-05-12 10:00 |
Tokyo |
Shinjuku Campus, Kogakuin University + Online (Primary: On-site, Secondary: Online) |
On Kernel Networking Using extended Berkeley Packet Filter Empowered by Neural Networks Takanori Hara (NAIST), Masahiro Sasabe (Kansai Univ.) NS2023-15 |
extended Berkeley Packet Filter (eBPF) is a technology to control a Linux kernel through an arbitrary program. It has be... [more] |
NS2023-15 pp.26-31 |
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 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-17 10:20 |
Okinawa |
Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
An Investigation of the Stability of Haptics under Communication Delay by using Difference Differential Equation
-- Including the Application for Consensus Control and Reaction-diffusion Equation -- Hitoshi Watanabe (Tokyo Univ. of Science), Pingguo Huang (Gifu Shotoku Gakuen Univ..), Yutaka Ishibashi (NIT) CQ2022-101 |
We have studied theoretical and experimental methods for describing the behavior of haptic communication under communica... [more] |
CQ2022-101 pp.107-112 |
NC, MBE (Joint) |
2023-03-15 11:20 |
Tokyo |
The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Optimizing SOINN Space for High-Dimensional Data Robustness Yu Takahagi, Yusuke Tsuchida, Yukari Yamauchi (Nihon Univ.) NC2022-112 |
Yamazaki et al. proposed a learning method called Self-Organizing Incremental Neural Network (SOINN). This method is an ... [more] |
NC2022-112 pp.113-118 |
DC |
2023-02-28 14:25 |
Tokyo |
Kikai-Shinko-Kaikan Bldg (Primary: On-site, Secondary: Online) |
Test Point Selection Method Using Graph Neural Networks and Deep Reinforcement Learning Shaoqi Wei, Kohei Shiotani, Senling Wang, Hiroshi Kai, Yoshinobu Higami, Hiroshi Takahashi (Ehime Univ.) DC2022-87 |
It is well known that selecting the optimal test point to maximize the fault coverage is NP-hard. Conventional heuristic... [more] |
DC2022-87 pp.27-32 |
RCS, NS (Joint) |
2022-12-16 15:00 |
Aichi |
Nagoya Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Application of Segment Routing Technology to Mobile Networks Towards Enhanced 5G Functionality
-- Design and Implementation of SRv6 Mobile User Plane -- Katsuhiro Horiba, Satoru Matsushima, Yuya Kawakami, Manabu Mikami, Hitoshi Yoshino (SB) NS2022-147 RCS2022-205 |
User-Plane on the mobile network is composed by Circuit Switched Network such as VC on ATM and GTP-U between base statio... [more] |
NS2022-147 RCS2022-205 p.85(NS), p.96(RCS) |
PRMU |
2022-12-16 10:15 |
Toyama |
Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Pose-aware Disentangled Multiscale Transformer for Pose Guided Person Image Generation Kei Shibasaki, Masaaki Ikehara (Keio Univ.) PRMU2022-44 |
Pose Guided Person Image Generation (PGPIG) is the task that transforms the pose of a person image from the source image... [more] |
PRMU2022-44 pp.63-69 |
NLP |
2022-11-25 14:15 |
Shiga |
(Primary: On-site, Secondary: Online) |
Synchronization of Coupled Nonlinear Sampled-data Systems with Transmission Delays Takuya Misawa, Toshiki Oguchi (Tokyo Metropolitan Univ.) NLP2022-76 |
First, we consider two nonlinear sampled-data systems bidirectionally coupled via transmission delay couplings. Reducing... [more] |
NLP2022-76 pp.87-90 |
CCS |
2022-11-17 13:25 |
Mie |
(Primary: On-site, Secondary: Online) |
Analysis of various periodic orbits in permutation binary neural networks Mikito Onuki, Taiji Okano, Toshimichi Saito (HU) CCS2022-44 |
This paper studis a permutation binary neural network characterized by local binary connection, global permutation conne... [more] |
CCS2022-44 pp.5-8 |
NC, MBE (Joint) |
2022-09-30 09:40 |
Miyagi |
Tohoku Univ. (Primary: On-site, Secondary: Online) |
On optimization of periodic orbits in permutation binary neural networks Kento Saka, Toshimichi Saito (HU) NC2022-38 |
This paper introduces a permutation binary neural network characterized by local binary connection and global permutatio... [more] |
NC2022-38 pp.24-27 |