首页> 外国专利> Mobility Normalizer, Normalizing Method, Normalizing Program, Self-Organized Map, Substance Detecting Method, Detecting Program, Detection Rule Creating Method, and Data Structure

Mobility Normalizer, Normalizing Method, Normalizing Program, Self-Organized Map, Substance Detecting Method, Detecting Program, Detection Rule Creating Method, and Data Structure

机译:移动归一化方法,归一化方法,归一化程序,自组织图,物质检测方法,检测程序,检测规则创建方法和数据结构

摘要

The object of the present invention is to provide an apparatus, a method, a program, and a self-organizing map which are capable of normalizing mobility without using a marker, as well as a substance detection method, a program, a detection rule creating method, and a data structure which use normalized mobility. The mobility normalizing method comprises the steps of determining a plurality of warping functions converting data to be corrected, which is unit time sequence data obtained by measuring mobility, to the respective plurality of reference waveform data sets, and a DTW distance associated with each warping function; evaluating a minimum value of the plurality of DTW distances, and determining the warping function associated with the determined minimum DTW distance; determining a slope and an intercept of a straight line approximating the determined warping function; and correcting the data to be corrected using a linear function specified by the slope and the intercept.
机译:本发明的目的是提供一种无需使用标记就能够对移动进行归一化的装置,方法,程序和自组织图,以及物质检测方法,程序,检测规则的创建。方法和使用标准化移动性的数据结构。迁移率归一化方法包括以下步骤:确定多个翘曲函数,将要校正的数据(通过测量迁移率而获得的单位时间序列数据)转换为相应的多个参考波形数据集,以及与每个翘曲函数相关联的DTW距离;评估多个DTW距离中的最小值,并确定与所确定的最小DTW距离相关的翘曲函数;确定近似于所确定的翘曲函数的斜率和直线的截距;使用斜率和截距指定的线性函数校正要校正的数据。

著录项

  • 公开/公告号US2009136139A1

    专利类型

  • 公开/公告日2009-05-28

    原文格式PDF

  • 申请/专利权人 HIROMI KATAOKA;

    申请/专利号US20060084370

  • 发明设计人 HIROMI KATAOKA;

    申请日2006-07-11

  • 分类号G06K9/46;

  • 国家 US

  • 入库时间 2022-08-21 19:33:01

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