IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
RECONF 2021-06-08
16:10
Online Online Automatic generation of executable code for ReNA, a CNN accelerator for the edge
Yuta Masuda, Yasuhiro Nakahara, Motoki Amagasaki, Masahiro Iida (Kumamoto Univ.)
 [more]
HWS, VLD [detail] 2021-03-03
11:15
Online Online The Design and Development of of Quantized Neural Networks Library for Exact Hardware Emulation
Masato Kiyama, Yasuhiro Nakahara, Motoki Amagasaki, Masahiro Iida (Kumamoto Univ.) VLD2020-70 HWS2020-45
Quantization is used to speed up execution time and save power when runnning Deep neural networks (DNNs) on edge devices... [more] VLD2020-70 HWS2020-45
pp.18-23
VLD, DC, RECONF, ICD, IPSJ-SLDM
(Joint) [detail]
2020-11-17
10:45
Online Online Implementation of YOLO in the AI accelerator ReNA
Toma Uemura, Yasuhiro Nakahara, Motoki Amagasaki, Masato Kiyama, Masahiro Iida (Kumamoto Univ.) VLD2020-22 ICD2020-42 DC2020-42 RECONF2020-41
The object detection,which is a typical AI process,has been attracting attention in various fields because it can identi... [more] VLD2020-22 ICD2020-42 DC2020-42 RECONF2020-41
pp.66-71
VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2019-11-14
10:05
Ehime Ehime Prefecture Gender Equality Center DNN accelerator for AI edge computing
Yasuhiro Nakahara, Juntaro Chikama, Motoki Amagasaki (Kumamoto Univ.), Zhao Qian (Kyutech), Masahiro Iida (Kumamoto Univ.) RECONF2019-38
Convolutional Neural Network (CNN), a kind of artificial intelligence for image recognition, is used in
various fields ... [more]
RECONF2019-38
pp.15-20
RECONF 2019-09-20
14:00
Fukuoka KITAKYUSHU Convention Center Quantized Neural Networks Library for Exact Hardware Emulation
Masato Kiyama, Yasuhiro Nakahara, Motoki Amagasaki, Masahiro Iida (Kumamoto Univ.) RECONF2019-33
Deep neural networks (DNNs) have recently shown outstanding performance in many application domains.
However, it is dif... [more]
RECONF2019-33
pp.69-74
RECONF 2018-05-24
14:30
Tokyo GATE CITY OHSAKI Visibility study of CNN implementation using High Speed Serial Optical Interconnection
Juntaro Chikama, Yasuhiro Nakahara, Motoki Amagasaki, Morihiro Kuga, Msahiro Iida, Toshinori Sueyoshi (Kumamoto Univ.) RECONF2018-7
In this research, we realize a low power consumption and scalable system by implementing CNN on multi FPGA system.To sol... [more] RECONF2018-7
pp.33-38
 Results 1 - 6 of 6  /   
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan