Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] |
2020-05-29 14:30 |
Online |
Online |
A method for analyze causes of deterioration of predict quality when Deep Learning is applied to instance segmentation Tomonori Kubota, Takanori Nakao, Masafumi Katoh, Eiji Yoshida, Hidenobu Miyoshi (Fujitsu Lab.) SIP2020-14 BioX2020-14 IE2020-14 MI2020-14 |
In this paper, we propose a method to analyze the cause of deterioration of prediction accuracy in instance segmentation... [more] |
SIP2020-14 BioX2020-14 IE2020-14 MI2020-14 pp.67-72 |
ICM, IPSJ-CSEC, IPSJ-IOT |
2020-05-15 14:55 |
Online |
Online |
Full-stack Visualization of IaaS Configuration for Failure Impact Analysis Masahiro Asaoka, Reiko Kondo, Kazuhiro Suzuki, Yukihiro Watanabe (Fujitsu Lab.) ICM2020-6 |
Recently, it has become common to use cloud service, especially Infrastructure as a Service (IaaS). IaaS providers are o... [more] |
ICM2020-6 pp.31-36 |
ISEC, IT, WBS |
2020-03-11 09:55 |
Hyogo |
University of Hyogo (Cancelled but technical report was issued) |
Toward Differential Characteristic Search of AES by Annealing Haruka Hirano, Shugo Kakimoto, Kazuki Yoneyama (Ibaraki Univ.), Junpei Yamaguchi (Fujitsu Lab.) IT2019-109 ISEC2019-105 WBS2019-58 |
At Inscypt 2011, Mouha et al. firstly proposed an application of mixed-integer linear programming (MILP) to cryptanalysi... [more] |
IT2019-109 ISEC2019-105 WBS2019-58 pp.127-133 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 14:50 |
Fukuoka |
Kyushu Institute of Technology (Cancelled but technical report was issued) |
A high-compression video coding method for video analysis using Deep Learning Tomonori Kubota, Takanori Nakao, Eiji Yoshida (Fujitsu Lab.) IMQ2019-39 IE2019-121 MVE2019-60 |
In this paper, we propose a high-compression video coding method for video analysis using Deep Learning. The method anal... [more] |
IMQ2019-39 IE2019-121 MVE2019-60 pp.121-126 |
NS, IN (Joint) |
2020-03-06 11:20 |
Okinawa |
Royal Hotel Okinawa Zanpa-Misaki (Cancelled but technical report was issued) |
A Study of Automatic Network Designs and Configurations based on User's Intents
-- Intent-based Logical Network Designs -- Takamichi Nishijima, Yutaka Takita, Masashi Hayano, Kenji Hikichi, Toshio Soumiya (FUJITSU LAB.) NS2019-227 |
To realize rapid network integrations, intent-based networking (IBN), which automatically constructs a network satisfyin... [more] |
NS2019-227 pp.277-282 |
BioX, CNR |
2020-03-05 13:50 |
Tokyo |
(Cancelled but technical report was issued) |
A study of face feature clustering using variational autoencoder Hidetsugu Uchida, Narishige Abe, Shigefumi Yamada (Fujitsu Lab.) BioX2019-72 CNR2019-55 |
[more] |
BioX2019-72 CNR2019-55 pp.59-64 |
ICM |
2020-03-03 14:50 |
Okinawa |
Ohama Nobumoto Memorial Hall (Cancelled but technical report was issued) |
[Encouragement Talk]
Enhancement of Q&A Recommendation System for Network Support Center by Machine Learning Yuji Kojima (FUJITSU), Shinji Yamashita (FUJITSU LAB.), Kodo Ran, Yasuhiko Aoki (FUJITSU), Hiroyuki Uehara (FNETS), Manabu Wakao, Masao Hayashi (FUJITSU) ICM2019-61 |
In case of failure in network equipment, operators in network support center analyze the root cause and answer to the us... [more] |
ICM2019-61 pp.111-116 |
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] |
2020-02-27 15:45 |
Kagoshima |
Yoron-cho Chuou-Kouminkan |
A Study of High-Performance and Low-Cost Erasure Coding Method for Tape Archive System Shun Gokita, Masahisa Tamura, Yasuo Noguchi (Fujitsu Lab.) CPSY2019-101 DC2019-107 |
In recent years, the amount of data generated around the world has been increasing. By storing and analyzing such large ... [more] |
CPSY2019-101 DC2019-107 pp.81-86 |
AI |
2019-11-28 13:05 |
Fukuoka |
|
A proposal of a method for analyzing causes of incorrect detection when detecting objects using Deep Learning Tomonori Kubota, Takanori Nakao, Eiji Yoshida (Fujitsu Lab.) AI2019-30 |
In this paper, we propose a method for analyzing the causes of incorrect detection / poor accuracy when detecting object... [more] |
AI2019-30 pp.1-6 |
MW |
2019-11-15 11:00 |
Okinawa |
Minami Daido Villa. Tamokuteki Koryu Center |
Report on 2019 IEEE MTT-S International Microwave Symposium Msaru Sato (Fujitsu Lab.), Takashi Shimizu (Utsunomiya Univ.), Yusuke Uemichi (Fujikura), Hiroyuki Aoyama (Mitsubishi Electoric), Tetsuya Ueda (KIT), Yuji Komatsuzaki (Mitsubishi Electoric), Hiroshi Hamada (NTT), Kyoya Takano (TUS), Hiroshi Okazaki (NTT DOCOMO) MW2019-114 |
This is a report on 2019 IEEE MTT-S International Symposium held at Boston, MA, USA, June 2-7, 2019. It contains an over... [more] |
MW2019-114 pp.81-86 |
OPE, LQE, OCS |
2019-11-11 15:55 |
Tokyo |
Kikai-Shinko-Kaikan Bldg (Tokyo) |
[Special Invited Talk]
An Ultralow-Crosstalk WDM Demultiplexer with Automatic Fabrication-Error Correction Enabling High Yields and Temperature Insensitivity on Low-End Si Platforms Tomoyuki Akiyama (PETRA), Shoichiro Oda (Fujitsu), Seok-Hwan Jeong, Yasuhiro Nakasha, Akinori Hayakawa, Yu Tanaka (PETRA), Takeshi Hoshida (Fujitsu) OCS2019-57 OPE2019-95 LQE2019-73 |
(Advance abstract in Japanese is available) [more] |
OCS2019-57 OPE2019-95 LQE2019-73 pp.27-32 |
SRW, SeMI, CNR (Joint) |
2019-11-05 14:10 |
Tokyo |
Kozo Keisaku Engineering Inc. |
[Invited Lecture]
Initiatives for display anywhere Yoshihiko Murakawa (Fujitsu Lab./KIT) |
[more] |
|
PRMU |
2019-10-19 10:45 |
Tokyo |
|
Localization of Diffuse Lung Deseases' Lesions and Quantification of Their Volumes Using Deep Learning Hiroaki Takebe, Yasutaka Moriwaki, Nobuhiro Miyazaki, Takayuki Baba (FUJITSU LAB.), Hiroaki Terada, Toru Higaki, Kazuo Awai (Hiroshima Univ.), Hirotaka Kobayashi, Machiko Nakagawa, Masahiko Shimada, Kenji Kitayama (FUJITSU) PRMU2019-44 |
Changes in the amount of lesion over time are important information for diagnostic imaging of diffuse lung disease in wh... [more] |
PRMU2019-44 pp.67-72 |
BioX |
2019-10-03 13:30 |
Okinawa |
|
Efforts to propose biometric accuracy evaluation method using a small number of samples Shigefumi Yamada (FUJITSU LAB.) BioX2019-54 |
[more] |
BioX2019-54 pp.1-3 |
RECONF |
2019-09-19 15:40 |
Fukuoka |
KITAKYUSHU Convention Center |
Implementation of OpenCL-Based FPGA Accelerator for Polynomial Regression Kentaro Katayama (FUJITSU LAB.) RECONF2019-25 |
[more] |
RECONF2019-25 pp.25-30 |
PRMU, MI, IPSJ-CVIM [detail] |
2019-09-05 13:40 |
Okayama |
|
A method for visualizing the cause of misrecognition in object recognition using CNN Tomonori Kubota (Fujitsu Lab.), Yasuyuki Murata (FST), Yoshifumi Uehara, Akira Nakagawa (Fujitsu Lab.) PRMU2019-25 MI2019-44 |
In this paper, we propose a method for visualizing the cause of misrecognition in object recognition using CNN. By this ... [more] |
PRMU2019-25 MI2019-44 pp.99-104 |
CPSY, DC, IPSJ-ARC [detail] |
2019-07-26 10:55 |
Hokkaido |
Kitami Civic Hall |
Parallel computing systems with wavelength routing interconnect "Optical Hub" Yutaka Urino, Kenji Mizutani, Tatsuya Usuki, Shigeru Nakamura (PETRA) CPSY2019-33 DC2019-33 |
To solve the inter-node bandwidth bottleneck in parallel computing systems, we propose a wavelength routing inter-node i... [more] |
CPSY2019-33 DC2019-33 pp.177-182 |
CPSY, DC, IPSJ-ARC [detail] |
2019-07-26 11:25 |
Hokkaido |
Kitami Civic Hall |
Inter-Node Direct Memory Access Performance with Distributed Switch for Full-Mesh Connection Between Accelerators with Optical Hub Kenji Mizutani, Hiroshi Yamaguchi, Yutaka Urino (PETRA) CPSY2019-32 DC2019-32 |
In order to improve communication performance for paralle processing, we have proposed an optical hub that connects node... [more] |
CPSY2019-32 DC2019-32 pp.171-176 |
ICM |
2019-07-12 09:50 |
Hokkaido |
|
Development of Q&A Recommendation System for Network Support Center by Machine Learning Shinji Yamashita (Fujitsu Lab.), Yuji Kojima, Yasuhiko Aoki (Fujitsu), Hiroyuki Uehara (Fujitsu Network Solutions), Manabu Wakao, Masao Hayashi (Fujitsu) ICM2019-17 |
In case of failure in network equipment, operators in network support center analyze the root cause and answer to the us... [more] |
ICM2019-17 pp.65-70 |
PRMU, BioX |
2019-03-17 13:00 |
Tokyo |
|
Report of the 22nd PRMU Algorithm Contest
-- Constructing a Cloned Model of Pattern Recognizers -- Kazuaki Nakamura (Osaka Univ.), Tomo Miyazaki (Tohoku Univ.), Daisuke Ishii (Fujitsu Lab.), Shuichi Akizuki (Keio Univ.), Yoshihiko Mochizuki (Waseda Univ.) BioX2018-37 PRMU2018-141 |
[more] |
BioX2018-37 PRMU2018-141 pp.49-57 |