Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NS, RCS (Joint) |
2020-12-18 10:00 |
Online |
Online |
Wake-up Control for Energy-Efficient Anomaly Detection in Wireless Sensor Networks Hitoshi Kawakita, Hiroyuki Yomo (Kansai Univ.) NS2020-96 |
In this paper, we focus on anomaly detection in on--demand WSNs, where a wake-up receiver operating with ultra-low power... [more] |
NS2020-96 pp.48-53 |
IT |
2020-12-01 15:40 |
Online |
Online |
[Invited Talk]
Current Developments and Future Perspectives of Analytics for Business Data Masayuki Goto (Waseda Univ.) IT2020-27 |
This paper introduces trends in the application of advanced technologies of data analysis such as artificial intelligenc... [more] |
IT2020-27 pp.15-20 |
RCS |
2020-10-22 09:30 |
Online |
Online |
Shared dataset framework toward applications of machine learning and mathematical optimization for 6G Kazuki Maruta (Tokyo Tech.), Yuta Ida (Yamaguchi Univ.), Yafei Hou (Okayama Univ.), Osamu Muta (Kyushu Univ.), Hiraku Okada (Nagoya Univ.), Toshihiko Nishimura (Hokkaido Univ.), Eiji Okamoto (Nagoya Inst. of Tech.), Yukitoshi Sanada (Keio Univ.), Hidekazu Murata (Kyoto Univ.), Satoshi Denno (Okayama Univ.) RCS2020-92 |
In the research of applying machine learning and mathematical optimization to problems in wireless communication systems... [more] |
RCS2020-92 pp.1-6 |
US |
2020-08-26 13:00 |
Online |
Online |
Rescue and analysis of legacy data
-- Utilization of multidisciplinary long-term continuous observation including acoustic method on deep seafloor -- Ryoichi Iwase (JAMSTEC) US2020-20 |
Since the installation of the cabled observatory offshore of Hatsushima Island in Sagami Bay in 1993, the Japan Agency f... [more] |
US2020-20 pp.1-4 |
EMM |
2020-03-05 14:25 |
Okinawa |
(Cancelled but technical report was issued) |
[Poster Presentation]
A Reversible Data Hiding Method for Stereoscopic Images with 2D/3D Viewing Ikuma Yasukawa, Shoko Imaizumi (Chiba Univ.) EMM2019-107 |
This paper proposes a 2D/3D viewing method with a single image.
In the proposed method, the information to recover the ... [more] |
EMM2019-107 pp.31-36 |
NS, IN (Joint) |
2020-03-06 15:30 |
Okinawa |
Royal Hotel Okinawa Zanpa-Misaki (Cancelled but technical report was issued) |
Massive IoT Data Placement Control in Widely Distributed Storages Tomoki Ito (Nagoya Univ.), Hirofumi Noguchi, Misao Kataoka, Takuma Isoda (NTT), Tutomu Murase (Nagoya Univ.) IN2019-142 |
This paper proposes a Live Data placement control suitable for a massive amount of Live Data, short lifetime data contin... [more] |
IN2019-142 pp.381-386 |
IA, SITE, IPSJ-IOT [detail] |
2020-03-03 12:50 |
Online |
Online |
On issues about utilization and management of records stored inside learning management systems Takahiro Tagawa, Naomi Fujimura (Kyushu Univ.) SITE2019-98 IA2019-76 |
Recently LMS(Leaning Management System) is becoming fundamental infrastructure for universities and colleges with the gr... [more] |
SITE2019-98 IA2019-76 pp.143-148 |
SWIM |
2020-02-21 16:25 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Proposal of sensor data management method for fog computing Tsukasa Kudo (SIST) SWIM2019-31 |
With the progress of IoT, a large number of sensors are being connected to the Internet. To transfer sensor data efficie... [more] |
SWIM2019-31 pp.39-45 |
IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] |
2020-01-23 15:25 |
Kanagawa |
Raiosha, Hiyoshi Campus, Keio University |
FPGA-based Stream Data Aggregation for Large Sliding-Windows Masaki Osaka (UEC), Masato Yoshimi (TIS), Celimuge Wu, Tsutomu Yoshinaga (UEC) VLD2019-76 CPSY2019-74 RECONF2019-66 |
This paper proposes an FPGA-based Stream Data Aggregation for large Sliding-Windows. We designed Configurable Query Proc... [more] |
VLD2019-76 CPSY2019-74 RECONF2019-66 pp.141-146 |
OFT |
2020-01-16 17:30 |
Aichi |
NINS Okazaki Conference Center |
Development of Optical Transmission Line for Aircraft Flight Control Takeshiro Nagai, Kengo Tanabe, Tomotaka Murase, Kouzou Kiyotake, Tohru Takahashi (SWCC), Koichi Yamamoto, Satoru Kato, Hiroyuki Ohta (KHI) OFT2019-51 |
As flight control technology progresses, a significant focus is on the development of optical data bus systems resistant... [more] |
OFT2019-51 pp.25-28 |
RISING (2nd) |
2019-11-26 14:10 |
Tokyo |
Fukutake Learning Theater, Hongo Campus, Univ. Tokyo |
[Poster Presentation]
A Demonstrative Study on the Throughput Improvement for Store-Carry-Forward Data Delivery
-- An Approach of Vehicle Mobility Prediction Based on Deep Learning -- Yoshito Watanabe, Wei Liu, Yozo Shoji (NICT) |
A store-carry-forward (SCF) strategy is one of the data delivery methods by the physical movement of nodes and has the p... [more] |
|
ISEC, SITE, LOIS |
2019-11-02 13:55 |
Osaka |
Osaka Univ. |
Dementia Diagnosis System Using SNS Agency Robot Yuta Kishimoto, Kenichi Arai, Tetsuo Imai, Toru Kobayashi (Nagasaki Univ.) ISEC2019-81 SITE2019-75 LOIS2019-40 |
In this study, the communication robot asks the elderly people “questions about daily life” triggered by various events ... [more] |
ISEC2019-81 SITE2019-75 LOIS2019-40 pp.121-126 |
MIKA (2nd) |
2019-10-04 10:15 |
Hokkaido |
Hokkaido Univ. |
[Poster Presentation]
Study for an advanced secure PDS service Yuka Miyagi, Hiroki Yanagisawa, Noriharu Miyaho (TDU) |
In recent years, personal information management technology called PDS (Personal Data Store) has been devel... [more] |
|
SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 09:35 |
Osaka |
I-Site Nanba(Osaka) |
SRLLC Layer-Integrated Edge Distributed Data Store Koichiro Amemiya (Fujitsu/UTokyo), Akihiro Nakao (UTokyo) NS2019-53 |
Stateful and real-time IoT services, such as Cyber Physical Sysmte (CPS), has recently caught much attention because th... [more] |
NS2019-53 pp.55-60 |
RCS |
2019-06-19 15:15 |
Okinawa |
Miyakojima Hirara Port Terminal Building |
A Study for Improving Prediction Accuracy on Federated Learning with Non-IID Data in Wireless Networks Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ.), Ryo Yonetani (OMRON SINIC X Corp.) RCS2019-54 |
Federated Learning (FL) is a decentralized learning mechanism, which enables to train machine learning (ML) model using ... [more] |
RCS2019-54 pp.103-108 |
DC, CPSY, IPSJ-ARC [detail] |
2019-06-11 14:10 |
Kagoshima |
National Park Resort Ibusuki |
Data Compression System of Storage Compatible with High Performance and High Compression Rate Yusuke Yamaga, Takaki Matsushita, Kazuei Hironaka, Tomohiro Kawaguchi (Hitachi) CPSY2019-2 DC2019-2 |
In recent years, the amount of data handled by information systems is increasing explosively. In order to store huge amo... [more] |
CPSY2019-2 DC2019-2 pp.27-32 |
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] |
2019-03-17 17:25 |
Kagoshima |
Nishinoomote City Hall (Tanega-shima) |
QoS-Aware Similar Data Reduction Method in On-demand Wide-Area Data Analysis System Kento Ikkaku, Shun Gokita, Makoto Kubota, Noriyuki Fukuyama (Fujitsu Lab.) CPSY2018-109 DC2018-91 |
Recently, needs for making it possible to utilize geo-distributed and accumulated data, such as video data recorded in a... [more] |
CPSY2018-109 DC2018-91 pp.187-192 |
EMM |
2019-03-13 14:05 |
Okinawa |
TBD |
[Poster Presentation]
A Visible Video Data Hiding Based on Spacial and Temporal Synchronization and Its Application to Information Communications Yuya Hirata, Tetsuya Kojima (NIT, Tokyo College) EMM2018-98 |
Research on information transmission using digital contents has attracted much attention as an application of data hidin... [more] |
EMM2018-98 pp.33-38 |
ICM |
2019-03-08 15:20 |
Okinawa |
|
A Study of Requirements for Services Fault Management in Big Data Management System Atsushi Takada, Naoyuki Tanji, Toshihiko Seki, Kyoko Yamagoe (NTT) ICM2018-69 |
In order to continue to provide high-quality network services, telecommunications carriers monitor the presence or absen... [more] |
ICM2018-69 pp.111-116 |
SR |
2019-01-24 16:35 |
Fukushima |
Corasse, Fukushima city (Fukushima prefecture) |
Highly Accurate Estimation of Radio Propagation using Model Classifier Keita Katagiri, Keita Onose (UEC), Koya Sato (TUS), Kei Inage (TMCIT), Takeo Fujii (UEC) SR2018-108 |
A Measurement-based Spectrum Database (MSD) attracts attention as highly accurate radio environment recognition. In the ... [more] |
SR2018-108 pp.79-84 |