Database System for Evoked Potential Data and Human Data

诱发电位和人体数据库系统的主要问题是数据的管理。数据是时间序列数据。在这项研究中，从传感器收集的时间序列数据被收集并存储到数据库中。在这里，一个平台技术的数据管理进行了研究。* 时间序列数据处理在Anroid操作系统上的性能评估。* 综述了用于分析照度分布、颜色分布和图像频率的图像处理算法。算法安装在Linux操作系统上。最终系统通过Web发布。* 研究了具有datetime属性的记录数据与键值数据模型之间的映射技术。

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.