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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 27  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCC, ISEC, IT, WBS 2024-03-13
15:05
Osaka Osaka Univ. (Suita Campus) Efficient Replay Data Selection in Continual Federated Learning Model
Yuto Kitano (Kobe Univ), Lihua Wang (NICT), Seiichi Ozawa (Kobe Univ) IT2023-96 ISEC2023-95 WBS2023-84 RCC2023-78
In this study, we propose a continual federated learning that can continuously learn distributed data generated daily by... [more] IT2023-96 ISEC2023-95 WBS2023-84 RCC2023-78
pp.135-141
AI 2023-09-12
15:15
Hokkaido   A Study on the Implementation of Cooperative CAVs by Sharing the Observation Information Using Simulations and Considerations Based on Qualitative Evaluation
Ken Matsuda (Graduate School of FUN), Ei-Ichi Osawa (FUN) AI2023-4
This study focuses on cooperative connected autonomous vehicles (cooperative CAVs). This research aims to propose a simu... [more] AI2023-4
pp.19-24
EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] 2023-07-25
14:50
Hokkaido Hokkaido Jichiro Kaikan Anomaly detection with dataset including replay-attack communication
Koushi Nishi, Futa Yuichi (TUT), Okazaki Hiroyuki (Shinshu University) ISEC2023-52 SITE2023-46 BioX2023-55 HWS2023-52 ICSS2023-49 EMM2023-52
General-purpose devices and communications are increasingly introduced to control systems in factories and power plants ... [more] ISEC2023-52 SITE2023-46 BioX2023-55 HWS2023-52 ICSS2023-49 EMM2023-52
pp.247-254
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
17:00
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Continual learning combining Replay and Parameter Isolation Methods
Ryota Adachi, Toshikazu Wada (Wakayama Univ.) PRMU2022-121 IBISML2022-128
Deep Neural Networks (DNN) are used for various tasks such as image classification, but when a new task is trained on a ... [more] PRMU2022-121 IBISML2022-128
pp.335-340
EMCJ, MW, EST, IEE-EMC [detail] 2022-10-14
11:15
Akita Akita University
(Primary: On-site, Secondary: Online)
A Study on Communication Range in Wi-Fi Backscatter Receiver for Detecting Sensor Node using Single-Carrier Modulation Signal
Yuki Fujiya, Takashi Shiba, Noriharu Suematsu (Tohoku Univ.) EMCJ2022-56 MW2022-102 EST2022-66
In order to realize smart factory which is appeared in the concepts of Society 5.0 and Industry 4.0, wireless Internet o... [more] EMCJ2022-56 MW2022-102 EST2022-66
pp.108-112
AP, MW
(Joint)
2022-09-16
13:50
Ehime The Museum of Art, EHIME
(Primary: On-site, Secondary: Online)
Self-Mixing Noise Reduction Effect by Transmitted Signal Canceller in Wi-Fi Backscatter Receiver for Detecting Sensor Node
Yuki Fujiya, Koki Edamatsu, Takashi Shiba, Noriharu Suematsu (Tohoku Univ.) MW2022-78
In order to realize smart factory which is appeared in the concepts of Society 5.0 and Industry 4.0, wireless Internet o... [more] MW2022-78
pp.52-56
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-01
09:20
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Amplitude modulation on high frequency noise induced by non-stationary audio system and its effect in audible range
Masahide Kita, Shinichi Miyamoto, Yukiyasu Okamura, Kiminobu Nishimura (Kindai Univ.) EA2021-66 SIP2021-93 SP2021-51
In a linear-stationary audio, as frequency components of signal are independent each other, an effect of noise in supers... [more] EA2021-66 SIP2021-93 SP2021-51
pp.15-20
PRMU 2020-12-17
16:20
Online Online [Short Paper] Few-Shot Incremental Learning by Unifying with Variational Autoencoder
Keita Takayama, Kuniaki Uto, Koichi Shinoda (TokyoTech) PRMU2020-48
We propose a few-shot incremental learning method using a variational autoencoder for deep learning. In incremental lear... [more] PRMU2020-48
pp.58-62
MIKA
(2nd)
2019-10-03
11:15
Hokkaido Hokkaido Univ. [Poster Presentation] Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs -- Investigation of sampling method of replay buffer --
Kota Nakashima, Shotaro Kamiya, Ohtsu Kazuki, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.)
We have proposed the deep reinforcement learning-based channel allocation approach for wireless area local networks to i... [more]
HCGSYMPO
(2nd)

Mie Sinfonia Technology Hibiki Hall Ise Development of werewolf match viewer using a life-like agent to express speech emotion and behavior information
Hiroto Sone, Ryutaro Yamamoto, Daisuke Katagami (Tokyo Polytechnic Univ.), Hirotaka Oosawa (University of Tsukuba), Hujio Toriumi (The University of Tokyo), Michimasa Inaba (Hiroshima City Univ.), Yoshinobu Kano (University of Tsukuba), Takashi Ootuki (Yamagata Univ.)
We develop a system that replay 'Are you a werewolf?' played by AIWolves by express speech emotion and behavior informat... [more]
EA, ASJ-H 2018-08-23
16:35
Miyagi Tohoku Gakuin Univ. Performance Evaluation of Personal 3D Sound Field Reproduction System by VR Games
Yuto Shigeizumi, Toshiyuki Kimura (Tohoku Gakuin Univ.) EA2018-37
It is expected that efficient remote works are realized if ultra-realistic communication techniques are applied to remot... [more] EA2018-37
pp.57-62
NS 2018-05-17
13:25
Kanagawa Yokohama City Education Center Implementation of requesting methods considering sequence control for progressive download using parallel TCP connections
Mitsuo Heijo, Junichi Funasaka (Hiroshima City Univ.) NS2018-20
When realizing progressive download which replays a video file with simultaneously fetching divided partial les through... [more] NS2018-20
pp.31-36
HCGSYMPO
(2nd)
2016-12-07
- 2016-12-09
Kochi Kochi City Culture Plaza (CUL-PORT) Paraphrase Generation of translated AIWolf protocol using Werewolf BBS Logs
Hirofumi Nakamura, Daisuke Katagami (Tokyo Polytechnic Univ.), Fujio Toriumi (Tokyo Univ.), Hirotaka Osawa (Tsukuba Univ.), Michimasa Inaba (Hiroshima City Univ.), Kosuke Shinoda (UEC), Yoshinobu Kano (Shizuoka Univ.)
We develop a system that replay 'Are you a werewolf?' played by AIWolves as if human players play the game. AIWolves com... [more]
CPSY, IPSJ-ARC 2016-10-06
10:00
Chiba Makuhari-messe [Technology Exhibit] Security technologies for non-volatile memory in IoT devices -- Mechanisms for on-chip MCU and off-chip memory system --
Mikio Hashimoto, Yoshiyuki Amanuma, Kentaro Umesawa, Ryuichi Koike, Jun Kanai, Naoko Yamada (Toshiba) CPSY2016-51
Non-volatile memory content modification is serious issues on IoT appliances, since evil effects continue over power cyc... [more] CPSY2016-51
pp.37-42
KBSE 2016-05-26
14:50
Tokyo Doshisha Univ. Tokyo Branch Office A Method for Collecting Learners' Thinking Process in ER Modeling Exercises and Its Application
Takafumi Tanaka (TUAT), Hiroaki Hashiura (NIT), Atsuo Hazeyama (TGU), Seiichi Komiya (NII), Yuki Hirai, Keiichi Kaneko (TUAT) KBSE2016-2
It is important for software engineers to have modeling skills to understand or abstract essence of problems. Exercise-s... [more] KBSE2016-2
pp.7-12
R 2015-10-16
11:00
Fukuoka   Irregularity Countermeasures in Massively Parallel BigData Processors
Marat Zhanikeev (Kyutech) R2015-53
The term Massively Parallel BigData Processor names a recent advance in bigdata processing technology which has advanced... [more] R2015-53
pp.7-14
MVE 2014-10-09
09:55
Hokkaido   The Assessment of Efficacy on Using AR Replay to Learn Tasks
Yun Li, Yoshinari Kameda, Yuichi Ohta (Univ. of Tsukuba) MVE2014-33
We report the evaluation of our proposed method “AR replay”, which is a framework to record a tutor’s action in a workin... [more] MVE2014-33
pp.7-12
CQ, MVE, IE, IMQ, CEA
(Joint) [detail]
2014-03-07
14:25
Oita Beppu International Convention Center AR Replay of Tutor's Action by Using Single RGB-D Camera
Yun Li, Yoshinari Kameda, Yuichi Ohta (Univ of Tsukuba) IMQ2013-69 IE2013-178 MVE2013-107
We propose “AR replay,” a framework to record a working scene with a tutor’s action, and then replay the tutor’s action ... [more] IMQ2013-69 IE2013-178 MVE2013-107
pp.223-227
ET 2013-05-26
15:00
Wakayama Wakayama University Development of a Hand-Writing Process Presenter with HTML5
Yasuhisa Okazaki, Chinatsu Yoshihara, Hisaharu Tanaka (Saga Univ.), Kenzi Watanabe (Hiroshima Univ.) ET2013-11
This paper describes development of a system which can replay the handwriting presentation processes as if they are writ... [more] ET2013-11
pp.55-60
HCGSYMPO
(2nd)
2012-12-10
- 2012-12-12
Kumamoto Kumamoto-Shintoshin-plaza Construction of Database for Medical Sign Language Words
Keiko Watanabe, Yuji Nagashima (Kogakuin univ.), Hiroyuki Kaneko, Naoto Kato, Taro Miyazaki, Shuichi Umeda, Seiki Inoue, Toshihiro Shimizu, Nobuyuki Hiruma (NHK)
We have been analyzing a medical sign language words to build a morpheme dictionary. The user is able to replay 3D anim... [more]
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