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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 45  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS 2022-06-17
10:25
Okinawa University of the Ryukyus, Senbaru Campus and online
(Primary: On-site, Secondary: Online)
A Study on Support Vector Classification-Aided Regression with Ensemble Learning for GNSS Positioning
Shugo Maruyama, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2022-60
In Global Navigation Satellite System (GNSS) positioning, the receiver position is estimated by solving the nonlinear si... [more] RCS2022-60
pp.212-217
MBE, NC
(Joint)
2022-03-04
14:20
Online Online Investigation of machine learning methods for emotion discrimination by using phase synchronization of electroencephalogram
Fumiya Hirooka, Jiro Okuda (Kyoto Sangyo Univ. Grad. Sch.) NC2021-74
This study investigated machine learning methods for emotion discrimination by using phase synchronization of electroenc... [more] NC2021-74
pp.143-148
ET 2021-03-06
12:30
Online Online Evaluation of Program Code Reading Behavior Using Eye Information
Hiroto Harada, Minoru Nakayama (TokyoTech) ET2020-66
Since the code reading ability may reflect the characteristics of the eye response, the analysis of the eye information ... [more] ET2020-66
pp.83-86
DC 2020-02-26
10:00
Tokyo   On Machine Learning Based Accuracy Improvement for A Digital Temperature and Voltage Sensor
Masayuki Gondo, Yousuke Miyake, Seiji Kajihara (Kyutech) DC2019-86
To measure an on-chip temperature and voltage during VLSI operation, an RO(Ring Oscillator)-based digital temperature an... [more] DC2019-86
pp.1-6
MBE 2019-07-20
11:20
Tokushima   Near future drowsiness prediction using support vector regression analysis of electroencephalogram parameters
Izzat Akbar, Arthur Rumagit, Mitaku Utsunomiya, Takamasa Morie, Tomohiko Igasaki (Kumamoto Univ.) MBE2019-21
Traffic accident becomes a global concern recently. One of the causes is drowsy driving. Previous studies tried to solve... [more] MBE2019-21
pp.13-18
IA, ICSS 2019-06-06
14:40
Miyagi Research Institute for Electrical Communication, Tohoku University RSSI Prediction of LoRa in Indoor Environment with Support Vector Regression
Mai Hirata, Hideya Ochiai, Hiroshi Esaki (UTokyo) IA2019-1 ICSS2019-1
In this study, we focused on LoRa which is one of the LPWA.We proposed the method to estimate the RSSI from the environm... [more] IA2019-1 ICSS2019-1
pp.1-6
AI 2018-08-27
16:15
Osaka   Abandoned Farmland Mapping Using Satellite Data and Machine Learning, and Abandonment Probability Modeling by Field and Geographical Factors
Yohei Yamaguchi, Takashi Machimura, Takanori Matsui (Osaka Univ.) AI2018-24
Farmland abandonment is quickly increasing in Japan, and it becomes concern on social, economic and environmental issues... [more] AI2018-24
pp.61-66
US, EA
(Joint)
2018-01-23
13:00
Osaka   [Poster Presentation] Model for viscosity estimation from acoustic emission spectra of single bubble oscillation
Yuto Hatanaka, Takanobu Kuroyama (NIT, Gifu College) US2017-96
A viscosity estimation model from the acoustic emission of single bubble system is constructed. The relationship between... [more] US2017-96
pp.71-76
CPSY 2017-11-19
15:00
Aomori Aomori Tourist Information Center, ASPAM [Poster Presentation] A Programmable Analog Calculation Unit based on Support Vector Regression
Renyuan Zhang, Takashi Nakada, Yasuhiko Nakashima (NAIST) CPSY2017-55
This work explores an architecture of programmable analog circuitry to calculate arbitrary functions with acceptable acc... [more] CPSY2017-55
pp.27-32
MBE, NC
(Joint)
2017-03-13
14:00
Tokyo Kikai-Shinko-Kaikan Bldg. Comparison of regression models on a multi-dimensional output estimation problem of a bio-medical four degrees of freedom force and displacement sensor
Chisato Murakami, Yasuaki Kaneda (TIRI), Makoto Takahashi (Hokkai Gakuen Univ.) MBE2016-87
Commercial force sensors are used for a risk judgment of pressure injuries. Measurement data of the sensors bring inform... [more] MBE2016-87
pp.27-32
RCS, CCS, SR, SRW
(Joint)
2016-03-04
16:20
Tokyo Tokyo Institute of Technology A Study on Location Estimation Method by Wi-SUN Using Machine Learning
Hiroshi Sakamoto, Hiroyuki Yasuda, Thong Huynh, Kaori Kuroda (Tokyo Univ. of Science), Yozo Shoji (NICT), Mikio Hasegawa (Tokyo Univ. of Science) CCS2015-78
Wi-SUN is a wireless communication standard that has been developed as communication scheme for smart meter to record in... [more] CCS2015-78
pp.63-66
MICT, ASN, MoNA
(Joint)
2016-01-29
10:15
Kanagawa Hotel Okada Analysis of Family Electricity Data Obtained by Smart Meters
Kazuki Omomo, Yuta Kobiyama, Qiangfu Zhao (Univ. Aizu) ASN2015-90
In this paper, by using electricity data obtained by smart meters located in residential houses, we try to predict futur... [more] ASN2015-90
pp.63-68
IBISML 2015-11-26
15:00
Ibaraki Epochal Tsukuba [Poster Presentation] Robustification of Learning Algorithms using Hinge-loss
Takafumi Kanamori (Nagoya Univ.), Shuhei Fujiwara (TopGate), Akiko Takeda (Univ. of Tokyo) IBISML2015-71
We propose a unified formation of robust learning methods for classification and regression problems.
In the learnin... [more]
IBISML2015-71
pp.139-146
WIT, SP, ASJ-H, PRMU 2015-06-18
16:00
Niigata   Noise-robust Prediction of Pronunciation Distances Aiming at Clustering of World Englishes Using a Learner's Self-centered Viewpoint
Yuichi Sato, Yosuke Kashiwagi, Shun Kasahara, Nobuaki Minematsu, Daisuke Saito, Keikichi Hirose (UT) PRMU2015-45 SP2015-14 WIT2015-14
In recent years,we have more and more international tourists and in 2020, we have Tokyo Olympic Games. For communicating... [more] PRMU2015-45 SP2015-14 WIT2015-14
pp.77-82
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2015-02-24
09:30
Hokkaido Hokkaido Univ. A Preference Estimation Method based on Relationship between Videos and Viewing Behavior -- Reduction of Performance Degradation for Few Training Pairs --
Yoshiaki Yamaguchi, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (Kushiro-N.C.T.), Miki Haseyama (Hokkaido Univ.)
In this paper, we propose an efficient preference estimation method based on relationship between video features and use... [more]
ET 2015-01-31
10:50
Tokyo Mejiro Univ. An estimation of test scores using features of note-taking during a blended learning
Minoru Nakayama (Tokyo Tech.), Kouichi Mutsuura, Hiroh Yamamoto (Shinshu Univ.) ET2014-75
The prediction of learning performance using features of note-taking
activity and learner's characteristics is determi... [more]
ET2014-75
pp.17-22
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD
(Joint) [detail]
2014-12-15
19:20
Kanagawa Tokyo Institute of Technology (Suzukakedai Campus) An experimental study of definitions of reference pronunciation distances and acoustic features used for distance prediction with the aim of pronunciation clustering
Shun Kasahara (Univ. of Tokyo), Tianze Shi (Tsinghua Univ.), Nobuaki Minematsu, Daisuke Saito, Keikichi Hirose (Univ. of Tokyo) SP2014-110
“World Englishes” indicates well one aspect of the current state of English as an international language, which claims t... [more] SP2014-110
pp.47-52
EA 2014-08-19
14:00
Miyagi Tohoku Gakuin Univ. On a Single-Ended Estimation of Speech Intelligibility using the ITU-T P.563 Feature Set
Kazuhiro Kondo, Toshihiro Sakano (Yamagata Univ.), Yosuke Kobayashi (Miyakonojo NCT) EA2014-14
We investigated a single-ended speech intelligibility estimation method that does not require clean speech reference sig... [more] EA2014-14
pp.13-18
ASN 2014-05-29
14:30
Tokyo Convention Hall, RCAST, The University of Tokyo [Poster Presentation] A proposal for an agricultural environmental control system based on wireless sensor networks and machine learning
Yukimasa Kaneda, Hirofumi Ibayashi, Yuya Suzuki (Shizuoka Univ.), Naoki Oishi (Research Institute of Agric.), Hiroshi Mineno (Shizuoka Univ.) ASN2014-22
In recent years , agricultural support using ICT has been actively conducted.An example of such system is monitoring env... [more] ASN2014-22
pp.75-76
SP 2014-02-28
11:00
Tokushima The University of Tokushima Prediction of pronunciation distances based on structural representation for clustering World Englishes
Shun Kasahara, Nobuaki Minematsu (Univ. of Tokyo), HanPing Shen (NCKU), Takehiko Makino (Chuo univ.), Daisuke Saito, Keikichi Hirose (Univ. of Tokyo) SP2013-109
The term of World Englishes is often used to indicate the current state of English as international language.It claims t... [more] SP2013-109
pp.13-18
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