2012 Fiscal Year Final Research Report
Database System for Evoked Potential Data and Human Data
| Project/Area Number |
22500092
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Media informatics/Database
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| Research Institution | Kyushu University |
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Principal Investigator |
KANEKO Kunihiko 九州大学, システム情報科学研究院, 准教授 (50274494)
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| Project Period (FY) |
2010 – 2012
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| Keywords | ビッグデータ解析基盤システム / 3次元画像データベース / データベースバッフ |
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| Research Abstract |
The main problem of database system for evoked pitential data and human data is management of data. The data is time-series data. In this study, time-series data collected from sensors are collected and stored into a database. Here, a platform technologies for data management is investigated. * A performance evaluation of time-series data processing on Anroid Operating System. * Image processing algorithms to analyse illuminance distribution, color distribution, and image frequency are surveyed. The algorithms are installed on a Linux operating system. The final system is distributed via Web. * I also stueied about a mapping technique between record data with datatime attributes and key-value data model.
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Research Products
(14 results)
