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| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ET | 2021-09-10 10:40 |
Online | Online | Implementation of recommendation engine, which uses data from social media, to the course introduction module. Toshikazu Iitaka (Kumamoto Gakuen Univ.)  ET2021-8 |
A function which makes possible the realization of recommendations which make use of big data from external systems is ... [more] | ET2021-8 pp.1-6 |
| ET | 2018-12-08 14:40 |
Niigata | Nagaoka University of Technology | Reinforcement of the portfolio function of the course introduction module using social media Toshikazu Iitaka (Kumamoto Gakuen Univ.) ET2018-73 |
The portfolio function of the course introduction module which I have developed is reinforced by social media (Twitter).... [more] | ET2018-73 pp.37-42 |
| IN | 2018-01-22 16:10 |
Aichi | WINC AICHI | [Invited Talk]
Big data and AI in NTT DOCOMO and its application
-- Our history of big data and practical AI solutions -- Yoshikazu Akinaga (NTT DOCOMO) IN2017-80 |
NTTDOCOMO started the Big DATA analytics platform from 2007. Compared with 10 years ago, there are surprisingly big chan... [more] | IN2017-80 pp.53-58 |
| 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 |
| ET | 2017-06-10 13:35 |
Shizuoka | Shizuoka Univ. (Hamamatsu) | Implementation of Recommendation Engine in the Course Introduction Module(e-portfolio) Toshikazu Iitaka (Kumamoto Gakuen Univ.) ET2017-13 |
The module introduced by this paper is a part of research on a recommendation engine that helps us to create long term l... [more] | ET2017-13 pp.7-12 |
| RECONF | 2016-05-19 10:05 |
Kanagawa | FUJITSU LAB. | Succinct-Data-Structure Based on Block-Size-Constrained Compression for a Text-Search Accelerator Masanori Hariyama, Hasitha Muthumala Waidyasooriya (Tohoku Univ.) RECONF2016-2 |
Succinct data structures are introduced to efficiently solve a given problem while representing the data using as a litt... [more] | RECONF2016-2 pp.3-8 |
| ICD | 2013-04-12 10:20 |
Ibaraki | Advanced Industrial Science and Technology (AIST) | [Invited Talk]
Unified Solid-State-Storage Architecture with NAND Flash Memory and ReRAM that Tolerates 32× Higher BER for Big-Data Applications Shuhei Tanakamaru (Chuo Univ./Univ. of Tokyo), Masafumi Doi, Ken Takeuchi (Chuo Univ.) ICD2013-14 |
Unified solid-state storage (USSS) with hybrid NAND flash memory / ReRAM provides high system-level data protection. Fou... [more] | ICD2013-14 pp.67-72 |
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