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    • 1. 发明申请
    • Resolving discrepancies between location information and route data on a navigation device
    • 解决导航设备上的位置信息和路线数据之间的差异
    • US20060178809A1
    • 2006-08-10
    • US11052994
    • 2005-02-07
    • Jeffrey CouckuytGregory BaribaultSteven Soden
    • Jeffrey CouckuytGregory BaribaultSteven Soden
    • G01C21/26
    • G01C21/20G01C21/30
    • A navigation system and method for resolving discrepancies between a reported position and route data is presented. Based on a reported position, the navigation system identifies prospective road segments within a radius of the reported position. For each road segment, the navigation system generates a series of scores according to various attributes, including the current heading, current speed, proximity of reported location to the prospective road, and the like. Historical scores are also generated based on historical information, i.e., previous navigation device locations. Scores are normalized such that they can be compared, and optionally weighted according to particular implementation details. After scores have been generated for each prospective road, the prospective road, and its determined location, with the best score is selected as the resolved, actual location.
    • 介绍了一种用于解决报告的位置和路线数据之间的差异的导航系统和方法。 根据报告的位置,导航系统识别报告位置半径内的预期路段。 对于每个路段,导航系统根据各种属性生成一系列分数,包括当前标题,当前速度,报告的位置与预期道路的接近程度等。 还可以基于历史信息(即先前的导航装置位置)生成历史得分。 分数被归一化,使得它们可以被比较,并且根据具体的实施细节可选地加权。 为每个预期道路生成分数后,选择具有最佳分数的预期道路及其确定的位置作为解决的实际位置。
    • 5. 发明申请
    • Compressing messages on a per semantic component basis while maintaining a degree of human readability
    • 在每个语义组件的基础上压缩消息,同时保持一定程度的人的可读性
    • US20050187757A1
    • 2005-08-25
    • US11040548
    • 2005-01-21
    • Sharad MathurGregory Baribault
    • Sharad MathurGregory Baribault
    • G10L25/90G06F17/27
    • G06F17/2785G06F17/2705
    • A text message is first parsed into its constituent semantic components such as header fields and body components. Then, different compression methods may be performed on each semantic component depending on the importance of the semantic component, the context of the semantic component, the characteristics of the semantic component, and whether or not the semantic component uses natural language expressions. For example, it is determined what compression method, if any, is to be performed on the semantic component. Each semantic component may be compressed individually. Since text compression takes the unique features of each semantic component into consideration rather than considering the text message as a monolithic text unit, a more intuitive text compression results.
    • 首先将文本消息解析为其组成语义组件,如头字段和主体组件。 然后,可以根据语义组件的重要性,语义组件的上下文,语义组件的特征以及语义组件是否使用自然语言表达来对每个语义组件执行不同的压缩方法。 例如,确定要对语义组件执行什么压缩方法(如果有的话)。 每个语义分量可以单独压缩。 由于文本压缩需要考虑每个语义组件的独特特征,而不是将文本消息作为单片文本单元来考虑,所以文本压缩效果更为直观。