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    • 3. 发明授权
    • System and method for monitoring and control of processes and machines
    • 用于过程和机器的监控和控制的系统和方法
    • US06751575B2
    • 2004-06-15
    • US09783707
    • 2001-02-14
    • Gary A. LenzDavid B. Wheeler
    • Gary A. LenzDavid B. Wheeler
    • G06F1900
    • G05B23/024G05B9/02G05B15/02G05B19/00G05B2219/35285
    • The disclosed invention includes a system and method for monitoring and control of processes and machines. A computer-implemented method for monitoring and controlling a process comprises storing process attribute information of objects in a plurality of databases, receiving at least one process measurement from a measurement device, similarity searching the at least one process measurement against the process attribute information stored in the databases, assigning a similarity score to the process measurement, comparing the similarity score to a match tolerance level, computing a process action for at least one process machine, via an algorithm having a process variable, replacing the process variable in the algorithm with the process measurement where the similarity score is equal to or greater than the match tolerance level, replacing the process variable in the algorithm with a set point where the similarity score is lower than the match tolerance level, and communicating the process action to a process machine.
    • 所公开的发明包括用于监视和控制过程和机器的系统和方法。 一种用于监视和控制过程的计算机实现的方法包括:将对象的处理属性信息存储在多个数据库中,从测量装置接收至少一个处理测量,根据存储在 数据库,将相似性分数分配给过程测量,将相似性分数与匹配公差水平进行比较,通过具有过程变量的算法计算至少一个过程机器的处理动作,将算法中的过程变量替换为 过程测量,其中相似性得分等于或大于匹配公差等级,用相似性得分低于匹配公差等级的设定点替换算法中的过程变量,以及将处理动作传递给过程机器。
    • 8. 发明授权
    • System and method for performing similarity searching using pointer optimization
    • 使用指针优化进行相似性检索的系统和方法
    • US06738759B1
    • 2004-05-18
    • US09611673
    • 2000-07-07
    • David B. WheelerMatthew J. Clay
    • David B. WheelerMatthew J. Clay
    • G06F700
    • G06F17/30607G06F17/30327Y10S707/954Y10S707/956Y10S707/99933Y10S707/99937
    • The present invention is a computer-implemented method for optimizing the detecting and scoring of similarities between documents in a source database and search criteria. It uses a set of hierarchical documents having root, interior and leaf nodes where the leaf nodes contain data items. Unique identifiers are assigned to each unique data item contained within each leaf node within the set of documents. Unique identifiers may be assigned to the data items depending upon a selected context in the hierarchy of nodes within the documents. For each data item in each leaf node, a data item score is computed that represents a similarity between the data item in the leaf node and the search criteria. A parent nodes score is then computed by combining the data item scores for all its child nodes. A data and indexing structures provides for efficient similarity searching and the quick reporting of results because the data is organized by the categories a user wants to search. Assigning a pointer or unique identifier only to unique data items causes the memory requirements to be reduced and optimizes the search time. Depending upon the particular set of documents being searched and the search criteria, significant improvements in speed and memory requirements may be achieved.
    • 本发明是用于优化源数据库中的文档和搜索标准之间的相似性的检测和评分的计算机实现的方法。 它使用一组具有根,内部和叶节点的分层文档,其中叶节点包含数据项。 唯一标识符被分配给包含在文档集合内的每个叶节点内的每个唯一数据项。 可以根据文档内的节点层级中的所选择的上下文将唯一标识符分配给数据项。 对于每个叶节点中的每个数据项,计算表示叶节点中的数据项与搜索条件之间的相似度的数据项得分。 然后通过组合其所有子节点的数据项得分来计算父节点得分。 数据和索引结构提供了有效的相似性搜索和快速报告结果,因为数据由用户想要搜索的类别组织。 仅将指针或唯一标识符分配给唯一的数据项可以减少内存需求并优化搜索时间。 根据正在搜索的特定文件集合和搜索条件,可以实现速度和存储器要求的显着改进。
    • 10. 发明授权
    • System and method for performing similarity searching
    • 用于执行相似性搜索的系统和方法
    • US06618727B1
    • 2003-09-09
    • US09401101
    • 1999-09-22
    • David B. WheelerMatthew J. Clay
    • David B. WheelerMatthew J. Clay
    • G06F1730
    • G06F17/30678G06F17/30923Y10S707/954Y10S707/956Y10S707/99945
    • The present invention is a computer-implemented method for detecting and scoring similarities between documents in a source database and a search criteria. It uses a hierarchy of parent and child categories to be searched, linking each child category with its parent category. Source database documents are converted into hierarchical database documents having parent and child objects with data values organized using the hierarchy of parent and child categories to be searched. For each child object, a child object score is calculated that is a quantitative measurement of the similarity between the hierarchical database documents and the search criteria. A parent object score is computed from its child object scores using an algorithm.
    • 本发明是用于检测和评分源数据库中的文档和搜索标准之间的相似性的计算机实现的方法。 它使用父类和子类别的层次结构进行搜索,将每个子类别与其父类别相关联。 源数据库文档被转换为具有父和子对象的分层数据库文档,其中数据值使用要搜索的父类和子类别的层次结构组织。 对于每个子对象,计算子对象分数,这是分级数据库文档和搜索标准之间的相似性的定量测量。 使用算法从其子对象分数计算父对象分数。