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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 103  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2024-03-11
11:15
Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)
Topological Multi Reservoir Computing for Spatiotemporal Data Mining
Daisuke Takeda, Junya Kato, Ryo Natsuaki, Akira Hirose (UT) NC2023-45
Recently, advancements in sensor technology, Internet of Things (IoT) devices, high-speed mobile communication, and the ... [more] NC2023-45
pp.13-18
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
VLD, HWS, ICD 2024-03-02
09:20
Okinawa
(Primary: On-site, Secondary: Online)
Countermeasure on AI Hardware against Adversarial Examples
Kosuke Hamaguchi, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) VLD2023-134 HWS2023-94 ICD2023-123
The demand for edge AI, in which artificial intelligence (AI) is directly embedded in devices, is increasing, and the se... [more] VLD2023-134 HWS2023-94 ICD2023-123
pp.184-189
EID, ITE-IDY, IEE-EDD, SID-JC, IEIJ-SSL [detail] 2024-01-25
13:15
Kyoto
(Primary: On-site, Secondary: Online)
[Poster Presentation] Reproduction of changes in membrane potential of neurons by synaptic devices using memristors
Kenta Yachida, Yoshiya Abe, Kazuki Sawai (Ryukoku Univ.), Tokiyoshi Matsuda (Kindai Univ./Ryukoku Univ.), Hidenori Kawanishi (Ryukoku Univ.), Mutsumi Kimura (Ryukoku Univ./NAIST) EID2023-4
We attempted to replicate the changes in the membrane potential of neurons using thin-film neuromorphic devices that int... [more] EID2023-4
pp.9-12
PEM
(Workshop)
2023-11-27
- 2023-11-28
Hokkaido Hokkaido Univ. Frontier Research in Applied Sciences Building Improvement of Prediction Accuracy of Magnetic Field-Based Positioning with a High-Isolation Relay Circuit
Kouga Miyaji, Ai-ichiro Sasaki (Kindai Univ.)
Magnetic field-based positioning (MFP) is expected as a method that can establish accurate indoor positioning systems. W... [more]
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2023-11-17
10:00
Kumamoto Civic Auditorium Sears Home Yume Hall
(Primary: On-site, Secondary: Online)
CiM-based Low-bit Neural Network Accelerator Design Method with automatic I/O range optimization
Ayumu Yamada, Naoko Misawa, Chihiro Matsui, Ken Takeuchi (Univ. of Tokyo) VLD2023-68 ICD2023-76 DC2023-75 RECONF2023-71
A neural network training algorithm, LIORAT, is proposed to improve the efficiency of neural network accelerators with R... [more] VLD2023-68 ICD2023-76 DC2023-75 RECONF2023-71
pp.198-199
SDM 2023-11-10
14:00
Tokyo
(Primary: On-site, Secondary: Online)
Examination of high high-precision device modeling methods -- Comparison of Neural Networks and Linear Regression --
Kengo Nakata, Takayuki Mori, Jiro Ida (Kanazawa Inst. Tech.) SDM2023-71
Neural network (NN) models have the advantage of high inference speed, but they are difficult to modeling. For this reas... [more] SDM2023-71
pp.36-40
BioX 2023-10-12
15:25
Okinawa Nobumoto Ohama Memorial Hall A Study on Ear Acoustic Personal Authentication System Using Domain Transformation for Numerical Analysis Data
Masafumi Morimoto (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) BioX2023-60
We propose a new personal authentication system using ear pinna transfer functions.
This proposed method is constructe... [more]
BioX2023-60
pp.12-15
SIS, ITE-BCT 2023-10-13
09:30
Yamaguchi HISTORIA UBE
(Primary: On-site, Secondary: Online)
[Invited Talk] In-sensor Material reservoir computing devices including tactile computing devices for robot applications
Hirofumi Tanaka (Kyutech) SIS2023-20
Reservoir arithmetic elements, which are expected to be used as lighter-task AI hardware systems, were fabricated in ran... [more] SIS2023-20
pp.25-28
NS, IN, CS, NV
(Joint)
2023-09-08
09:00
Miyagi Tohoku University
(Primary: On-site, Secondary: Online)
Demonstrating Data Poisoning Attacks on Machine Learning Models with Multi-Sensor Inputs
Shyam Maisuria, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) IN2023-31
Data poisoning attacks pose a significant threat to the integrity and reliability of machine learning models. These atta... [more] IN2023-31
pp.8-13
SeMI, RCS, RCC, NS, SR
(Joint)
2023-07-12
15:50
Osaka Osaka University Nakanoshima Center + Online
(Primary: On-site, Secondary: Online)
[Invited Talk] Neural computing in wireless IoT network
Naoki Wakamiya (Osaka Univ.) RCC2023-15 NS2023-33 RCS2023-85 SR2023-32 SeMI2023-26
Collection, management, and processing data at the edge of an IoT system is effective in distribution of communication a... [more] RCC2023-15 NS2023-33 RCS2023-85 SR2023-32 SeMI2023-26
p.8(RCC), p.8(NS), p.32(RCS), p.32(SR), p.26(SeMI)
RCS 2023-06-16
10:50
Hokkaido Hokkaido University, and online
(Primary: On-site, Secondary: Online)
A Study on Neural Network Aided Correction of Differential GNSS Positioning Using Auxiliary Base Station
Yuki Higashino, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2023-71
With the recent development of the 5th Generation mobile communication system (5G), which offers enhanced mobile broadba... [more] RCS2023-71
pp.253-258
NLP 2023-05-13
10:00
Fukushima Kenshin Koriyama Cultural Center (Koriyama, Fukushima) A Study of Ergodic Sequential Circuit Neuronal Networks for Use in Neuroprosthetic Devices
Yuta Shiomi, Hiroyuki Torikai (Hosei Univ.) NLP2023-1
In this study, we propose a network based on an ergodic ordered circuit neuron model.
We show that the proposed model c... [more]
NLP2023-1
pp.1-4
NC, MBE
(Joint)
2023-03-13
14:40
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Modulation effects on in vivo neural activity induced by near-infrared ray stimulation to the mouse inferior colliculus
Hiromu Sato, Takashi Tateno (Hokudai) NC2022-94
In recent years, more attention has been received to infrared neural stimulation (INS) which can modulate the activity o... [more] NC2022-94
pp.19-24
RCS, SR, SRW
(Joint)
2023-03-01
16:05
Tokyo Tokyo Institute of Technology, and Online
(Primary: On-site, Secondary: Online)
Neural Network Based Wideband Digtial Post-distortion for Virtualized Terminal
Taishi Watanabe, Takeo Ohseki, Yoshiaki Amano (KDDI Research, Inc.) RCS2022-262
A virtualised terminal consisting of a normal user terminal and multiple RF relay devices that perform frequency
conver... [more]
RCS2022-262
pp.88-93
CAS, CS 2023-03-01
11:45
Fukuoka Kitakyushu International Conference Center
(Primary: On-site, Secondary: Online)
Demodulation from Meta-Learning with Few Pilot Symbols in Massive Sensor Networks
Kuniyasu Yamamoto, Tomotaka Kimura, Jun Chen (Doshisha Univ.) CAS2022-101 CS2022-78
Demodulation from meta-learning with few pilot symbols in massive sensor networks is proposed. In the massive sensor net... [more] CAS2022-101 CS2022-78
pp.29-34
CNR, BioX 2023-03-02
11:30
Oita
(Primary: On-site, Secondary: Online)
A Study on Single Modal Ear Acoustic Personal Authentication System
Sora Takagi (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) BioX2022-73 CNR2022-39
Biometric authentication requires the provision of the user's personal biometric information.Currently, the mainstream b... [more] BioX2022-73 CNR2022-39
pp.65-68
MBE, NC 2022-12-03
15:50
Osaka Osaka Electro-Communication University A RISC-V Soft-core Processor with Custom VLIW Extension for Spiking Neural Network Accelerator
Mingyang Li, Yuki Hayashida (Mie Univ.) MBE2022-40 NC2022-62
We aim to develop an embedded accelerator for spiking neural networks (SNN). In order to develop prototypes of various S... [more] MBE2022-40 NC2022-62
pp.86-91
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2022-11-28
15:25
Kumamoto  
(Primary: On-site, Secondary: Online)
A 6T-8T hybrid SRAM for reducing the power of neural network by lowing the operating voltage
Ruoxi Yu, Kazuteru Namba (Chiba Univ.) VLD2022-24 ICD2022-41 DC2022-40 RECONF2022-47
With advances in artificial intelligence and machine learning technologies, many deep learning applications are being de... [more] VLD2022-24 ICD2022-41 DC2022-40 RECONF2022-47
pp.31-36
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
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