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All Technical Committee Conferences  (Searched in: Recent 10 Years)

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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 25  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
DC 2025-02-18
13:15
Tokyo Kikai-Shinko-Kaikan Bldg. (Tokyo) Reliable Memristor-Based Neural Networks with Fault-Injected Training
Md. Sihabul Islam, Ryota Eguchi, Michiko Inoue (NAIST) DC2024-109
Energy-efficient and high-performance neural network (NN) accelerators are required to meet the increasing demands for e... [more] DC2024-109
pp.19-24
EMCJ 2025-01-24
11:00
Kochi Kochijo Holl (Kochi) Soft error testing method for telecommunication systems using a compact accelerator-driven neutron source based on ITU-T international standards
Kimihiro Tajima, Osamu Aoki, Mitsuo Hattori, Takuya Hoshino, Ryuichi Kobayashi (NTT-AT) EMCJ2024-102
There is a strong demand for miniaturization and power saving in high-performance, high-performance communication system... [more] EMCJ2024-102
pp.56-59
SIS 2024-12-05
14:40
Osaka Osaka Electro-Communication University (Osaka, Online)
(Primary: On-site, Secondary: Online)
[Tutorial Lecture] Artificial Intelligence on Edge Computing for Object Recognition Applications
Nico Surantha (TCU) SIS2024-35
The rapid growth of the Internet of Things (IoT) and smart devices has led to an increasing demand for real-time data pr... [more] SIS2024-35
pp.25-30
EMT, IEE-EMT 2024-11-26
16:45
Shizuoka Shizuoka Convestion & Arts Center (Shizuoka) TD-BEM analysis of wake fields produced by 3D electron bunch at curved accelerator tube section
Tomohide Kawamura (Nihon Suido Consultants Co., Ltd.), Hideki Kawaguchi (Muroran-IT) EMT2024-63
To achieve extremely high-density electron bunch in particle accelerators such as Linear collider and X-ray Free Electro... [more] EMT2024-63
pp.22-26
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2024-11-12
16:25
Oita COMPAL HALL (Oita, Online)
(Primary: On-site, Secondary: Online)
Implementation and Evaluation of Arithmetic Masking to Mitigate Side-channel Attacks on Wavefront Array-based DNN Accelerator
Hirokatsu Yamasaki, Kota Yoshida, Yuta Fukuda, Takeshi Fujino (Ritsumeikan Univ) VLD2024-36 ICD2024-54 DC2024-58 RECONF2024-66
Since training deep neural networks (DNNs) requires huge costs, trained models are important intellectual property. Ther... [more] VLD2024-36 ICD2024-54 DC2024-58 RECONF2024-66
pp.55-60
CPSY, DC, RECONF, IPSJ-ARC [detail] 2024-06-11
10:45
Yamanashi Isawa View Hotel (Yamanashi, Online)
(Primary: On-site, Secondary: Online)
Fault classification and prediction of AI accelerators based on activation maximization
Ma Shanmou, Kazuteru Namba (Chiba Univ.) CPSY2024-8 DC2024-8 RECONF2024-8
This research proposes a method based on neural network interpretability techniques to effectively classify and predict ... [more] CPSY2024-8 DC2024-8 RECONF2024-8
pp.40-45
CPSY, DC, RECONF, IPSJ-ARC [detail] 2024-06-11
11:10
Yamanashi Isawa View Hotel (Yamanashi, Online)
(Primary: On-site, Secondary: Online)
A LBIST Method for Detecting Fault Locations in AI Accelerators
Zhang Jiaxi, Namba Kazuteru (Chiba Univ) CPSY2024-9 DC2024-9 RECONF2024-9
In recent years, artificial intelligence (AI) technology has been widely utilized in various fields such as healthcare, ... [more] CPSY2024-9 DC2024-9 RECONF2024-9
pp.46-51
IE, CS, IPSJ-AVM [detail] 2023-12-11
15:30
Fukuoka Kyushu Institute of Technology (Fukuoka, Online)
(Primary: On-site, Secondary: Online)
[Special Invited Talk] High-Performance Image Processing Utilizing Hardware
Norishige Fukushima (nitech) CS2023-83 IE2023-25
High-speed image signal processing is important to realize applications in various environments.
To complete image proc... [more]
CS2023-83 IE2023-25
p.16
NS 2023-10-04
14:55
Hokkaido Hokkaidou University + Online (Hokkaido, Online)
(Primary: On-site, Secondary: Online)
Study of high availability VPN gateway with hardware accelerator
Kotomi Takahashi, Katsuma Miyamoto, Hiroki kano, Shinya Kawano, Yasuyuki matsuoka (NTT) NS2023-75
In recent years, the amount of VPN (Virtual Private Network) traffic has been increasing due to the spread of teleworkin... [more] NS2023-75
p.29
MSS, CAS, SIP, VLD 2023-07-06
11:00
Hokkaido (Hokkaido, Online)
(Primary: On-site, Secondary: Online)
Lifetime improvement of Memristor-based Hyperdimensional Computing Inference Accelerator by Error Detection and Built-in Self Repair
Tetsuro Iwasaki, Michihiro Shintani (KIT) CAS2023-5 VLD2023-5 SIP2023-21 MSS2023-5
The implementation of hyperdimensional computing in memristors is expected to realize a highly efficient inferencer for ... [more] CAS2023-5 VLD2023-5 SIP2023-21 MSS2023-5
pp.22-27
HWS 2023-04-15
09:40
Oita (Oita, Online)
(Primary: On-site, Secondary: Online)
Investigation of automated design technique of pairing engine
Momoko Fukuda, Makoto Ikeda (UT) HWS2023-10
We have realized a design automation platform of hardware accelerator for pairing operation over multiple elliptic curve... [more] HWS2023-10
pp.37-42
ICD 2023-04-11
09:30
Kanagawa (Kanagawa, Online)
(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
HWS, VLD 2023-03-01
13:25
Okinawa (Okinawa, Online)
(Primary: On-site, Secondary: Online)
Programmable Binary Hyperdimensional Computing Accelerator for Low Power Devices
Yuya Isaka (NAIST), Nau Sakaguchi (SJSU), Michiko Inoue (NAIST), Michihiro Shintani (KIT) VLD2022-76 HWS2022-47
Hyperdimensional computing (HDC) can perform various cognitive tasks efficiently by mapping data to hyperdimensional vec... [more] VLD2022-76 HWS2022-47
pp.19-24
EMT, IEE-EMT 2022-11-17
10:00
Tokyo Kikai-Shinko-Kaikan Bldg. (Tokyo, Online)
(Primary: On-site, Secondary: Online)
Investigation of Electron Bunch Dynamics in Wake Fields Induced at Particle Accelerator Curved Section
Hideki Kawaguchi, Tomohide Kawamura (Muroran-IT) EMT2022-44
In an X-ray fee-electron laser (XFEL) or linear collider, an electron beam is compressed by a bunch compressor to attain... [more] EMT2022-44
pp.1-5
ICD, SDM, ITE-IST [detail] 2022-08-10
15:15
Online (Online) [Invited Talk] A CMOS Image Sensor and an AI Accelerator for Realizing Edge-Computing-Based Surveillance Camera Systems
Fukashi Morishita, Norihito Kato, Satoshi Okubo, Takao Toi, Mitsuru Hiraki, Sugako Otani, Hideaki Abe, Yuji Shinohara, Hiroyuki Kondo (Renesas Electronics) SDM2022-52 ICD2022-20
This paper presents a CMOS image sensor and an AI accelerator to realize surveillance camera systems based on edge compu... [more] SDM2022-52 ICD2022-20
pp.83-86
VLD, DC, RECONF, ICD, IPSJ-SLDM
(Joint) [detail]
2021-12-01
10:35
Online Online (Online) Energy saving in a multi-context coarse grained reconfigurable array with non-volatile flip-flops
Aika Kamei, Takuya Kojima, Hideharu Amano (Keio Univ.), Daiki Yokoyama, Hisato Miyauchi, Kimiyoshi Usami (SIT), Keizo Hiraga, Kenta Suzuki (SSS) VLD2021-20 ICD2021-30 DC2021-26 RECONF2021-28
IoT and edge-computing have been attracting much attention and demands for power efficiency as well as high performance ... [more] VLD2021-20 ICD2021-30 DC2021-26 RECONF2021-28
pp.19-24
VLD, DC, RECONF, ICD, IPSJ-SLDM
(Joint) [detail]
2021-12-01
10:10
Online Online (Online) A Multilayer Perceptron Training Accelerator using Systolic Array
Takeshi Senoo, Akira Jinguji, Ryosuke Kuramochi, Hiroki Nakahara (Toyko Tech) VLD2021-23 ICD2021-33 DC2021-29 RECONF2021-31
Neural networks are being used in various applications, and the demand for fast training with large amounts of data is e... [more] VLD2021-23 ICD2021-33 DC2021-29 RECONF2021-31
pp.37-42
VLD, DC, RECONF, ICD, IPSJ-SLDM
(Joint) [detail]
2021-12-01
10:35
Online Online (Online) Basic evaluation of ReNA, a DNN accelerator using numerical representation posit
Yasuhiro Nakahara, Yuta Masuda, Masato Kiyama, Motoki Amagasaki, Masahiro Iida (Kumamoto Univ.) VLD2021-24 ICD2021-34 DC2021-30 RECONF2021-32
In Convolutional Neural Network (CNN) accelerators for edge, numerical precision of data should be reduced as much as po... [more] VLD2021-24 ICD2021-34 DC2021-30 RECONF2021-32
pp.43-48
RECONF 2021-06-08
16:10
Online Online (Online) Automatic generation of executable code for ReNA
Yuta Masuda, Yasuhiro Nakahara, Motoki Amagasaki, Masahiro Iida (Kumamoto Univ.) RECONF2021-6
We have been developing ReNA as a CNN accelerator for the edge, which is controlled by directly specifying control signa... [more] RECONF2021-6
pp.26-31
HWS 2021-04-12
10:50
Tokyo Tokyo University/Online (Tokyo, Online)
(Primary: On-site, Secondary: Online)
Performance Evaluation of an FPGA-Based Pairing Computation Accelerator
Junichi Sakamoto, Naoki Yoshida, Tsutomu Matsumoto (YNU) HWS2021-3
Several hardware-based accelerators have been proposed to speed up or reduce the power consumption of computationally ex... [more] HWS2021-3
pp.13-18
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