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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 60  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS, ICM, CQ, NV
(Joint)
2022-11-25
10:45
Fukuoka Humanities and Social Sciences Center, Fukuoka Univ. + Online
(Primary: On-site, Secondary: Online)
Modeling and Evaluating Cache-Aware Dynamic Adaptive Streaming over Information-Centric Networking
Ryo Nakasuji, Yuki Koizumi, Junji Takemasa, Toru Hasegawa (Osaka Univ.) CQ2022-53
Video traffic is a major source of Internet traffic. Information-Centric-Networking (ICN) are expected to contribute to ... [more] CQ2022-53
pp.34-39
CCS 2022-11-18
10:30
Mie
(Primary: On-site, Secondary: Online)
Analysis of Homophily Effects on Information Diffusion on Social Networks
Satoshi Furutani (NTT/TMU), Toshiki Shibahara, Mitsuaki Akiyama (NTT), Masaki Aida (TMU) CCS2022-55
Modeling the information diffusion process on networks is an important issue for analyzing information diffusion pattern... [more] CCS2022-55
pp.61-66
EMCJ, MW, EST, IEE-EMC [detail] 2022-10-13
09:55
Akita Akita University
(Primary: On-site, Secondary: Online)
Fundamental Study on Leakage Source Model for Electromagnetic Information Leakage from Video Display Units
Taiki Kitazawa (NAIST), Hiroyuki Kubo (Chiba Univ.), Yuichi Hayashi (NAIST) EMCJ2022-37 MW2022-83 EST2022-47
In the case of applying zoning countermeasures against the threat of information leakage using electromagnetic (EM) wave... [more] EMCJ2022-37 MW2022-83 EST2022-47
pp.11-15
EMCJ, MW, EST, IEE-EMC [detail] 2022-10-14
09:50
Akita Akita University
(Primary: On-site, Secondary: Online)
Development of an Evaluation System for Modeling of Information Leakage Induced by Low-Power IEMI
Seiya Takano, Shugo Kaji (NAIST), Masahiro Kinugawa (Univ. of Fukuchiyama), Daisuke Fujimoto, Yuichi Hayashi (NAIST) EMCJ2022-53 MW2022-99 EST2022-63
The threats of electromagnetic (EM) information leakage induced by low-power intentional EM interference have been repor... [more] EMCJ2022-53 MW2022-99 EST2022-63
pp.93-96
KBSE 2022-03-10
13:05
Online Online (Zoom) A Study of Learner Errors on State Machine Modeling \Based on Eye Information and Editing Logs
Takuma Kimura, Ogata Shinpei (Shinshu Univ.), Makihara Erina (Doshisha Univ.), Okano Kozo (Shinshu Univ.) KBSE2021-55
In state machine diagram education, learners sometimes make errors when solving modeling tasks. Educators should support... [more] KBSE2021-55
pp.84-89
AP, RCS
(Joint)
2021-11-10
15:55
Nagasaki NBC-Bekkan (Nagasaki)
(Primary: On-site, Secondary: Online)
Channel Parameter Estimation by using Environmental Features
Inocent Calist, Zhiqiang Li, Minseok Kim (Niigata Univ.) AP2021-106
Recent developments in the next generation of mobile communication and the application of the Internet of things has rai... [more] AP2021-106
pp.34-38
CAS, ICTSSL 2021-01-28
16:40
Online Online Consideration on Modeling of Information Floating for Data Accumulation (2nd Report)
Keisuke Nakano (Niigata Univ.), Kazuyuki Miyakita (Niigata Univ. of Int'l & Info. Studies) CAS2020-52 ICTSSL2020-37
Information Floating is a method to deliver information to mobile nodes in target areas preventing disordered spatial sp... [more] CAS2020-52 ICTSSL2020-37
pp.73-78
KBSE, SC 2020-11-13
15:18
Online Online + Kikai-Shinko-Kaikan Bldg.
(Primary: Online, Secondary: On-site)
[Poster Presentation] A Study of Method to Model Network Configuration in Static Routing for Real Network
Nagi Arai, Hikofumi Suzuki, Shinpei Ogata, Kozo Okano (Shinshu Univ) KBSE2020-20 SC2020-24
To operate the network, it is necessary to document and properly manage the configuration information of a real
network... [more]
KBSE2020-20 SC2020-24
p.38
IN, ICTSSL, NWS 2020-10-22
14:25
Online Online Consideration on modeling of information floating for data accumulation
Keisuke Nakano (Niigata Univ.), Kazuyuki Miyakita (Niigata Univ. of Int'l & Info. Studies) ICTSSL2020-19
In Information Floating, mobile nodes can transmit data via wireless direct links only in designated areas called transm... [more] ICTSSL2020-19
pp.33-38
NLP, NC
(Joint)
2020-01-24
09:30
Okinawa Miyakojima Marine Terminal Visualization of document-word relation by modeling their joint probability on latent spaces
Takuro Ishida, Keisuke Yoneda, Hajime Hatano, Tetsuo Furukawa (Kyutech) NC2019-60
The aim of this work is to visualize the relation of documents and words by embedding them to the product space of laten... [more] NC2019-60
pp.7-12
RISING
(2nd)
2019-11-27
13:55
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] Modeling of Utility Function for Real-time Prediction of Spatial Information Using Machine Learning
Keiichiro Sato, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation)
Real-time prediction of spatial information has attracted a lot of attention. Machine learning enables us to provide rea... [more]
SeMI, RCS, NS, SR, RCC
(Joint)
2019-07-10
13:50
Osaka I-Site Nanba(Osaka) [Encouragement Talk] Utility-function modeling scheme for real-time prediction of spatial information
Keiichiro Sato, Ryoichi Shinkuma, takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation) SeMI2019-21
Real-time prediction of spatial information has attracted a lot of attention.However, due to the strict limitation of ba... [more] SeMI2019-21
pp.19-22
MoNA 2019-01-17
09:40
Kyoto T. B. D. Modeling of Utility Function for Real-time Prediction of Spatiotemporal Information
Keiichiro Sato, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation) MoNA2018-66
In recent years, real-time prediction of spatiotemporal information has attracted a lot of attention. It is
expected th... [more]
MoNA2018-66
pp.51-55
NC, MBE
(Joint)
2018-10-20
09:50
Miyagi Tohoku Univ. Dynamical Systems Modeling of Collective Phenomena Arising in Virtual Reality Live Concert Experience Systems Attended by Multiple People via Physiological Information
Ryota Horie, Kobayashi Shohei (SIT) MBE2018-28
We proposed and developed "virtual reality live concert experience systems attended by multiple people via physiological... [more] MBE2018-28
pp.7-12
DE, IPSJ-DBS, IPSJ-IFAT 2018-09-12
14:50
Tokyo   Modeling Item Selection Process on Online Shopping.
Fumiya Watanabe, Yuri Nozaki, Tetsuji Satoh (Univ. of Tsukuba) DE2018-16
In recent years, opportunities to purchase products on online shopping sites are increasing.
One of the features of onl... [more]
DE2018-16
pp.43-47
NS, IN
(Joint)
2018-03-02
10:50
Miyazaki Phoenix Seagaia Resort Modeling and Analyzing Large Content Caching for Information Centric Networking
Yoji Yamamoto, Junji Takemasa, Yuki Koizumi, Toru Hasegawa (Osaka Univ.) IN2017-122
Increase in the size of content due to emergence of bandwidth-intensive applications, such as video on demand, leads to ... [more] IN2017-122
pp.195-200
EMM 2017-11-06
15:35
Kagoshima Kagoshima Univ. (Inamori Academy) Technique of Embedding Information inside 3-D Printed Objects With Near-Infrared Fluorescent Resin
Tomohisa Matumoto, Kousuke Nakamura, Hideyuki Torii (Kanagawa Inst. Tech.), Masahiro Suzuki (Tokiwa Univ.), Youichi Takashima (NTT), Kazutake Uehira (Kanagawa Inst. Tech.) EMM2017-57
We have been studying a method of embedding information inside an object fabricated with a resin material using a 3D pri... [more] EMM2017-57
pp.13-16
IE 2017-06-29
15:55
Okinawa   Technique of Embedding Information With High Reflectance Materials Inside 3-D Printed Objects and Reading It With Near-Infrared Imaging
Kousuke Nakamura, Tomohisa Matsumoto (Kanagawa Inst. of Tech.), Masahiro Suzuki (Tokiwa Univ.), Hideyuki Torii, Kazutake Uehira (Kanagawa Inst. of Tech.) IE2017-30
This report describes a technique that can embed information inside 3D printed objects by forming fine patterns inside t... [more] IE2017-30
pp.29-33
PRMU, IE, MI, SIP 2017-05-26
12:00
Aichi   Background Modeling based on Gaussian Mixture Model using Spatial Features
Kan Zheng, Toshio Kondo, Yuki Fukazawa, Takahiro Sasaki (Mie Univ.) SIP2017-24 IE2017-24 PRMU2017-24 MI2017-24
Many methods for detecting a moving object from surveillance video using a background model have been proposed. Mixed Ga... [more] SIP2017-24 IE2017-24 PRMU2017-24 MI2017-24
pp.125-130
R 2016-11-17
14:25
Osaka Osaka Central Electric Club Bldg. Software Reliability Analysis Based on Machine Learning
Toru Kaise (Univ. of Hyogo) R2016-50
Software debugging processes are made to be effective by managing methods with reliability evaluations. The reliability ... [more] R2016-50
pp.7-11
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