Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICM, LOIS |
2019-01-24 15:00 |
Kagoshima |
|
[Invited Talk]
An integrated log analysis tools for ICT system management Masashi Toyama, Shotaro Tora, Machiko Toyoda (NTT) ICM2018-41 LOIS2018-47 |
"Lognosis" is an integrated log analysis tools for ICT system management that intend to extract features from text-logs ... [more] |
ICM2018-41 LOIS2018-47 pp.33-34 |
ET |
2018-10-20 15:10 |
Fukuoka |
Fukuoka Institute of Technology |
Application of grouped flipped classroom method to actual classes and its evaluation by questionnaire Katsuyuki Umezawa (Shonan Institute of Tech.), Takashi Ishida (Takasaki City Univ. of Economics), Makoto Nakazawa (Junior College of Aizu), Shigeichi Hirasawa (Waseda Univ.) ET2018-49 |
Flipped classrooms have recently begun to attract attention. In a flipped classroom, the roles of a classroom and homewo... [more] |
ET2018-49 pp.65-70 |
ASN, NS, RCS, SR, RCC (Joint) |
2018-07-12 10:55 |
Hokkaido |
Hakodate Arena |
[Poster Presentation]
A Examination of GPS Spoofing Defense with Machine-learning Tomokazu Fukuda, Koji Ishii (Kagawa Univ.) RCC2018-42 NS2018-55 RCS2018-100 SR2018-39 ASN2018-36 |
Position information and time information by GNSS (Global Navigation Satellite System) represented by GPS are positively... [more] |
RCC2018-42 NS2018-55 RCS2018-100 SR2018-39 ASN2018-36 pp.89-94(RCC), pp.95-100(NS), pp.107-112(RCS), pp.99-104(SR), pp.105-110(ASN) |
AP |
2018-05-17 14:30 |
Kumamoto |
Kumamoto Univ. |
Prediction Method by Deep-Learning using Convolutional Neural Network for Path Loss Characteristics in An Open-Square Environment Nobuaki Kuno, Motoharu Sasaki, Yasushi Takatori (NTT) AP2018-21 |
By using convolutional neural network which is widely used for recent image recognition etc., we propose a path loss pre... [more] |
AP2018-21 pp.47-51 |
LOIS, IPSJ-CN, IPSJ-SPT |
2018-05-10 16:40 |
Tokyo |
Tsuda Univ. |
Digital scholarship development at Chiba University Academic Link Center Yasuhiko Higaki, Shigeo Fujimoto, Kosetsu Ikeda, Akiko Chiba, Yuta Kobayashi, Keiichi Hibaru, Nanako Takahashi, Hiroya Takeuchi (Chiba Univ.) LOIS2018-1 |
The Chiba University Academic Link Center was established in 2011 to train `thinking students'. We have been supporting ... [more] |
LOIS2018-1 pp.37-42 |
PRMU, BioX |
2018-03-18 13:30 |
Tokyo |
|
Multi-Element Deep Learning Using False Detection Images for Training Set
-- Effective For License Plate Detection -- Kazuo Ohzeki, Yoshikazu Kido, Yutaka Hirakawa (Shibaura Inst. of Tech.), Stefan Schneider (UAS Kempten) BioX2017-40 PRMU2017-176 |
In deep learning, in order to improve learning performance, preprocessing and ingenuity to combine a plurality of discri... [more] |
BioX2017-40 PRMU2017-176 pp.25-30 |
WIT, IPSJ-AAC |
2018-03-10 15:50 |
Ibaraki |
Tsukuba University of Technology |
Discussion on Development of E-learning System for Deafblind College Students(part2)
-- Information Accessibility Using Braille Terminal and Real Time Captioning Support in a Lecture -- Manabi Miyagi, Masayuki Sato (NTUT) WIT2017-90 |
he purpose of this sturdy was to develop E-learning system on working with deafblind college students. In this paper, we... [more] |
WIT2017-90 pp.193-196 |
ET |
2018-03-03 10:10 |
Kochi |
Kochi University of Technology (Eikokuji Campus) |
Designing Versatile Module to Instruct Study Skills in E-Learning Materials Miku Ide, Toshiki Matsuda (Tokyo Tech), Naomi Kosugi (Hokusho University) ET2017-104 |
In this research, we defined active learning as not a teaching method but a learning method and considered importance to... [more] |
ET2017-104 pp.89-94 |
ET |
2018-03-03 12:50 |
Kochi |
Kochi University of Technology (Eikokuji Campus) |
Application of grouped flipped classroom method to real class Katsuyuki Umezawa, Manabu Kobayashi (Shonan Institute of Tech.), Takashi Ishida (Takasaki City Univ. of Economics), Makoto Nakazawa (Junior College of Aizu), Shigeichi Hirasawa (Waseda Univ.) ET2017-123 |
Flipped classrooms have recently begun to attract attention. In a flipped classroom, the roles of a classroom and homewo... [more] |
ET2017-123 pp.199-204 |
ET |
2018-03-03 14:25 |
Kochi |
Kochi University of Technology (Eikokuji Campus) |
A Survey on Use of Social Networking Service for Digital Note Taking Toshikazu Iitaka (Kumamoto Gakuen Univ.) ET2017-127 |
This paper is about a survey on use of social networking service which is part of study about digital note taking. Frequ... [more] |
ET2017-127 pp.223-228 |
ET |
2018-03-03 15:05 |
Kochi |
Kochi University of Technology (Eikokuji Campus) |
E-learning Material synchronized VR environments with Smartphone VR Headset Shuya Nakamura, Takako Akakura (TUS) ET2017-129 |
The e-learning system is introduced by many educational institutions because it has less time and space constraints. In ... [more] |
ET2017-129 pp.235-238 |
RCS, SR, SRW (Joint) |
2018-03-02 11:15 |
Kanagawa |
YRP |
Prediction Scheme of WLAN Idle Status using Probabilistic Neural Network and Implementation on FPGA Julian Webber, Abolfazl Mehbodniya, Yafei Hou, Kazuto Yano, Makoto Usui, Tomoaki Kumagai (ATR) SR2017-134 |
WLAN traffic is becoming increasingly congested particularly in the 2.4,GHz band.
Simultaneous utilization of multipl... [more] |
SR2017-134 pp.117-124 |
ET |
2018-01-27 11:25 |
Hyogo |
Kobe Univ. |
Research on automatic generation of problem and backtrack-based learning support method Keito Gibo, Ryota Hanashiro, Takashi Tobaru, Tomoki Miyazato (Univ. the Ryukyus) ET2017-81 |
In recent years, the Synthetic Personality Inventory(SPI) provided by Recruit Management Solutions Co., Ltd. in the empl... [more] |
ET2017-81 pp.9-12 |
AP, WPT (Joint) |
2018-01-19 10:20 |
Nara |
ATR |
[Propagation Model Contest] Prediction Method using Deep-Learning for Path Loss Characteristics in An Virtual City Environment Nobuaki Kuno, Motoharu Sasaki, Yasushi Takatori (NTT) AP2017-164 |
Attending a propagation model contest, we proposed a prediction model using deep-learning for prepared path loss data. B... [more] |
AP2017-164 pp.75-79 |
AP, WPT (Joint) |
2018-01-19 16:40 |
Nara |
ATR |
Prediction Method using Machine-Learning for Path Loss Characteristics Considering Several Blockages in An Open-Square Environment Nobuaki Kuno, Motoharu Sasaki, Yasushi Takatori (NTT) AP2017-174 |
By using deep-learning which is possible to regress for any nonlinear function, without requiring derivation of a comple... [more] |
AP2017-174 pp.131-135 |
IMQ, HIP |
2017-07-21 16:55 |
Hokkaido |
Satellite Campus, Sapporo City University |
The classification of natural scenes by color statistics Masatoshi Kitaguchi, Masahiro Wakabayashi, Hiromichi Sato, Tomoyuki Naito (Osaka Univ.) IMQ2017-12 HIP2017-54 |
Little is known about the spatial and temporal color information structures in the scenes, which distinguish a scene fro... [more] |
IMQ2017-12 HIP2017-54 pp.33-37 |
ET |
2017-05-27 15:40 |
Tokyo |
Soka Univ. |
Automated Scoring of Short Written Answers
-- Backscratch -- Kimito Yanagi, Sumiyo Nishiguchi, Hiroki Watanabe (TUS) ET2017-10 |
Abstract Moodle has an automated scoring function, but it often regards the right answer as the wrong one. We need a p... [more] |
ET2017-10 pp.51-53 |
ET |
2017-03-10 13:10 |
Ehime |
National Institute of Technology, Niihama College |
Development and Trial Evaluation of CPU Simulator with Register-transfer level Micro-Operation Shinya Hara, Yoshiro Imai (Kagawa Univ.) ET2016-113 |
This paper proposes a new educational tool for Computer Architecture, which can provide simulation of assembly program c... [more] |
ET2016-113 pp.111-116 |
ET |
2017-03-10 15:05 |
Ehime |
National Institute of Technology, Niihama College |
An analysis on comment function of Audience Response System (ARS) module.
-- The Format of Technical -- Toshikazu Iitaka (Kumamotogakuen Univ.) ET2016-117 |
This paper introduces the comment function of the ARS module which has been developed before. Then the effect of the fun... [more] |
ET2016-117 pp.133-138 |
NS, IN (Joint) |
2017-03-03 09:10 |
Okinawa |
OKINAWA ZANPAMISAKI ROYAL HOTEL |
Development of the network collaboration construction exercise system using virtual machine Yoshiaki Ooka, Yuichiro Tateiwa, Naohisa Takahashi (NITech) NS2016-196 |
We would like to conduct an exercise that multiple learners construct one network by collaboration. In this exercise, we... [more] |
NS2016-196 pp.223-228 |