公开(公告)号：US20090113332A1

公开(公告)日：2009-04-30

申请号：US11924592

申请日：2007-10-25

申请人： Touraj Farahmand ,  Peter Hudson ,  Edward J. Quilty

发明人： Touraj Farahmand ,  Peter Hudson ,  Edward J. Quilty

IPC分类号： G06F3/048

CPC分类号： G06F8/34

摘要： A computer-based graphical user interface for graphically controlling processing of hydrological data, comprising a display menu interface listing executable tools from the group comprising one or more of: hydrological data input, hydrological data validity checking and correction, and hydrological modeling, a GUI for selecting and arranging tools from the display menu in a graphical display area to construct a hydrological process, the selected tools each being represented by icons on the graphical display, and for establishing a connection between at least one output of a first tool and an input of a second tool said tools by graphically displaying the connection between said tools representative icon and input means for receiving user input to arrange and execute said constructed hydrological data processing process.

摘要翻译： 一种用于图形地控制水文数据处理的基于计算机的图形用户界面，包括显示菜单界面，列出来自包括水文数据输入，水文数据有效性检查和校正以及水文建模中的一个或多个的组的可执行工具，GUI 在图形显示区域中从显示菜单中选择和排列工具以构建水文过程，所选择的工具各自由图形显示器上的图标表示，并且用于建立第一工具的至少一个输出和第一工具的输入之间的连接 第二工具通过图形地显示所述工具代表图标之间的连接和输入装置，用于接收用户输入以布置和执行所述构造的水文数据处理过程。

公开(公告)号：US20080168339A1

公开(公告)日：2008-07-10

申请号：US11958129

申请日：2007-12-17

申请人： Peter Hudson ,  Touraj Farahmand ,  Edward J. Quilty

发明人： Peter Hudson ,  Touraj Farahmand ,  Edward J. Quilty

IPC分类号： H03M13/09 ,  G06F11/10

CPC分类号： G06F11/10

摘要： A method for identifying anomalies in time series data, the method comprising the steps of computing parity vectors for one or more data points in a predetermined sample of data points in the time series, the parity vector representing redundancy between an estimated true value and an error term for each of the said one or more data points, evaluating the parity vectors to determine a set of the parity vectors in a selected direction; and evaluating a statistical distribution of the set according to a predetermined criterion to determine a data point to be corrected whose parity vectors satisfy the criterion in the distribution.

摘要翻译： 一种用于识别时间序列数据中的异常的方法，所述方法包括以下步骤：在所述时间序列中的数据点的预定采样中计算一个或多个数据点的奇偶校验向量，所述奇偶校验向量表示估计的真值与误差之间的冗余 对所述一个或多个数据点中的每一个进行术语，评估所述奇偶校验向量以确定所选方向上的所述奇偶校验向量的集合; 以及根据预定标准评估所述集合的统计分布，以确定奇偶校验向量满足分布中的标准的待校正数据点。