Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2018-06-13 10:25 |
Okinawa |
Okinawa Institute of Science and Technology |
Feature scaling in spectral classification of high dimensional data Momo Matsuda, Keiichi Morikuni, Akira Imakura, Tetsuya Sakurai (Univ. Tsukuba) IBISML2018-2 |
We consider the classification problem for high dimensional data. Using prior knowledge on the labels of partial samples... [more] |
IBISML2018-2 pp.9-14 |
ET |
2018-05-19 11:20 |
Kanagawa |
National Institute of Special Needs Education |
Sharing the results of a Moodle course material clickstream analysis and examining its effect on students Konomu Dobashi (Aichi Univ.) ET2018-5 |
A face-to-face blended-type lesson was previously carried out using Moodle in PC classes attended by a large number of s... [more] |
ET2018-5 pp.23-28 |
PRMU, MVE, IPSJ-CVIM [detail] |
2018-01-18 09:30 |
Osaka |
|
Trajectory semantic segmentation based on behavior models Daisuke Ogawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.) PRMU2017-112 MVE2017-33 |
In many cases, such as trajectories clustering and classification, we often divide a trajectory into segments as preproc... [more] |
PRMU2017-112 MVE2017-33 pp.1-7 |
MoNA |
2017-12-21 14:40 |
Tokyo |
Ochanomizu University |
A Study of Decentralization for Data Mining System Implemented with Fully Homomorphic Encryption Yuri Yamamoto, Masato Oguchi (Ochanomizu Univ.) MoNA2017-37 |
For promoting utilization of big data, outsourcing systems have been proposed in which transaction data such as purchase... [more] |
MoNA2017-37 pp.49-53 |
IMQ |
2017-12-15 13:55 |
Shizuoka |
Shizuoka University, Hamamatsu Campus |
A Study of Diagnostic Imaging System for Coded Defect Detection of Certain Viewpoints on Multi-view 3D CG Images Norifumi Kawabata (Chiba Univ.) IMQ2017-21 |
At present, in the engineering fields, the medical application for multi-view 3D images and 8K UHDTV images is advanced ... [more] |
IMQ2017-21 pp.7-12 |
CAS, MSS, IPSJ-AL [detail] |
2017-11-17 11:15 |
Tokyo |
|
[Invited Talk]
Open Data of Air Traffic and its Application Megumi Oka, Yutaka Fukuda (ENRI) CAS2017-53 MSS2017-37 |
The Ministry of Land, Infrastructure and Transport of Japan has formulated a long-term vision for future air traffic sys... [more] |
CAS2017-53 MSS2017-37 pp.95-100 |
KBSE |
2017-11-10 15:45 |
Shizuoka |
|
Estimation of business rules using Associations analysis Takuya Saruwatari, Akio Jin, Masayuki Inoue, Teruko Miyata, Daisuke Hamuro (NTT), Noriaki Izumi (AIST) KBSE2017-27 |
Recently, IT system renewal projects are increased along with aging of IT systems. In such a project, it is necessary to... [more] |
KBSE2017-27 pp.7-12 |
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2017-11-06 14:55 |
Kumamoto |
Kumamoto-Kenminkouryukan Parea |
An Approach to Selection of Classifiers and their Thresholds for Machine Learning Based Fail Chip Prediction Daichi Yuruki, Satoshi Ohtake (Oita Univ), Yoshiyuki Nakamura (Renesas Electronics) VLD2017-36 DC2017-42 |
Today, semiconductor technologies have developed and advance the integration density of LSI circuits.
A technique which... [more] |
VLD2017-36 DC2017-42 pp.55-60 |
SDM |
2017-10-26 09:30 |
Miyagi |
Niche, Tohoku Univ. |
[Invited Talk]
Utilization of Big Data for Innovation in Semiconductor Memory Manufacturing
-- Comprehensive Big-Data-Based Monitoring System for Yield Analysis in Semiconductor Manufacturing -- Hiroshi Akahori (Toshiba Memory), Kouta Nakata, Ryohei Orihara, Yoshiaki Mizuoka, Kentaro Takagi (Toshiba), Kenichi Kadota, Takaharu Nishimura, Yukako Tanaka, Hidetaka Eguchi (Toshiba Memory) SDM2017-55 |
In this work, we focus on yield analysis task where engineers identify the cause of failure from wafer failure map patte... [more] |
SDM2017-55 pp.31-33 |
ISEC, WBS, IT |
2017-03-10 16:00 |
Tokyo |
TOKAI University |
Development of Security Incident Symptomatic Analysis function in SIAS Mitsumu Katsuno, Hiroki Sakamoto, Hiroyuki Ookawa, Takashi Yamaguchi, Eiji Nunohiro (TUIS), Akira Orita, Tatsuya Sekiguchi (HISYS.ISR) IT2016-134 ISEC2016-124 WBS2016-110 |
(To be available after the conference date) [more] |
IT2016-134 ISEC2016-124 WBS2016-110 pp.223-228 |
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] |
2017-03-10 09:30 |
Okinawa |
Kumejima Island |
Pass/Fail Prediction in LSI Test Considering Fail Die Characteristics. Takazumi Sato, Michiko Inoue (NAIST) CPSY2016-144 DC2016-90 |
Various kinds of tests are applied to LSIs in several satages to ship only fully reliable products.However, a lot of kin... [more] |
CPSY2016-144 DC2016-90 pp.291-296 |
DC |
2017-02-21 12:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
An Approach to Performance Improvement of Machine Learning Based Fail Chip Discrimination Daichi Yuruki, Satoshi Ohtake (Oita Univ), Yoshiyuki Nakamura (Renesas System Design) DC2016-77 |
Today, advancements of semiconductor technology have progress to high integration of LSI circuits.
A technique which ke... [more] |
DC2016-77 pp.17-22 |
NLC, IPSJ-IFAT |
2017-02-10 13:55 |
Osaka |
|
Detecting Earthquake Survivors with Serious Mental Damage Tatsuya Aoki (Tokyo Tech), Tetsuya Nasukawa, Katsumasa Yoshikawa (IBM Research), Hiroya Takamura, Manabu Okumura (Tokyo Tech) NLC2016-48 |
The 2011 Great East Japan Earthquake and 2016 Kumamoto Earthquakes had a great impact to numerous people all over the wo... [more] |
NLC2016-48 pp.65-70 |
ET |
2017-01-28 16:30 |
Kanagawa |
National Institute of Special Needs Education |
Development of a Method for Analyzing Source Code Editing Processes to Estimate Students' Learning Situations Kei Ishiwada, Yasuhiko Morimoto (TGU), Shoichi Nakamura, Hiroki Nakayama (FU), Youzou Miyadera (TGU) ET2016-92 |
In the programming exercise lesson, it is expected that estimating learning situation based on the source code editing p... [more] |
ET2016-92 pp.75-80 |
IA |
2017-01-27 15:50 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. B3 Kenshu-2 room |
Development and evaluation of population monitoring system that assumes outdoor events Keita Arai (Nagaoka Univ. of Tech.), Hiroshi Yamamoto (Ritsumeikan Univ.), Yamazaki Katsuyuki (Nagaoka Univ. of Tech.) IA2016-87 |
It is important to manage the number of visitors in order to improve the event quality and to keep visitors' safety in a... [more] |
IA2016-87 pp.49-54 |
ICD, CPSY |
2016-12-15 10:55 |
Tokyo |
Tokyo Institute of Technology |
Proposal of anonymization methods for secondary use considering data properties Yuichi Nakamura, Takahiro Hosoe, Hiroaki Nishi (Keio Univ.) ICD2016-53 CPSY2016-59 |
Applications for secondary use of data, which is a usage that is not same as an original purpose to obtain the data, hav... [more] |
ICD2016-53 CPSY2016-59 pp.13-18 |
ET |
2016-07-09 11:50 |
Miyagi |
Tohoku Gakuin University |
Development of a Tool for Analyzing the Edit Histories of Programs to Estimate the Learning Situations Kei Ishiwada, Yasuhiko Morimoto (Tokyo Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.), Youzou Miyadera (Tokyo Gakugei Univ.) ET2016-25 |
In this study, we aim to estimate students’ learning situations in the Programming Exercise class, based on their progra... [more] |
ET2016-25 pp.21-26 |
ET |
2016-06-11 13:00 |
Aichi |
Nagoya Institute of Technology |
Time Series Cross Section tables to monitor the course materials page views
-- Development of Excel macro for Time Series Cross Section analysis -- Konomu Dobashi (Aichi Univ.) ET2016-12 |
To enable teachers to monitor student engagement and improve classroom instruction, a data mining method and an Excel ma... [more] |
ET2016-12 pp.25-30 |
RECONF |
2016-05-19 14:55 |
Kanagawa |
FUJITSU LAB. |
* Kasha Yamamoto, Tetsuya Asai, Masato Motomura (Hokkaido Univ.) RECONF2016-10 |
In recent years, the amount of data to be processed in the data center has increased exprosively. Therefore the data min... [more] |
RECONF2016-10 pp.47-52 |
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2016-03-25 15:45 |
Nagasaki |
Fukue Bunka Hall/Rodou Fukushi Center |
A consideration on variation correction for fail prediction in LSI test Ryo Ogawa (NAIST), Yoshiyuki Nakamura (Renesas Semiconductor Package & Test Solutions), Michiko Inoue (NAIST) CPSY2015-158 DC2015-112 |
Recently, a test cost reduction using data mining has been attracted. It is expected to reduce the cost by predicting fa... [more] |
CPSY2015-158 DC2015-112 pp.271-276 |