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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 316 [Previous]  /  [Next]  
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
 Results 41 - 60 of 316 [Previous]  /  [Next]  
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