Database System for Evoked Potential Data and Human Data

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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.