Method and apparatus for scanning regions
    65.
    发明申请
    Method and apparatus for scanning regions 有权
    用于扫描区域的方法和装置

    公开(公告)号:US20060082852A1

    公开(公告)日:2006-04-20

    申请号:US11287678

    申请日:2005-11-28

    CPC classification number: G02B26/105 G02B26/085

    Abstract: A beam scanner is operable to scan light in two or more axes, typically in a raster pattern that includes a fast scan axis and a slow scan axis. Plural beams of light are scanned, each beam of light producing a scanned region that at least partially overlaps at least one adjoining scanned region. Scanned regions may be aligned to adjoin and overlap along a dimension corresponding to the slow scan axis. The beam scanner may comprise a scanned beam display and/or a scanned beam image capture device. In a display, the power level of overlapping displayed pixels may be scaled to provide smooth transitions between adjoining regions to improve the image quality presented to a viewer. In an image capture device, one or more detectors is operable to collect light scattered from adjoining regions and a controller is operable to produce an image from the scanned regions.

    Abstract translation: 光束扫描器可操作以扫描两个或多个轴的光,通常以包括快扫描轴和慢扫描轴的光栅图案。 扫描多个光束,每个光束产生至少部分地重叠至少一个邻接的扫描区域的扫描区域。 扫描的区域可以对齐以邻接并且沿着与慢扫描轴对应的尺寸重叠。 束扫描器可以包括扫描束显示器和/或扫描束图像捕获装置。 在显示器中,重叠的显示像素的功率电平可以被缩放以在相邻区域之间提供平滑的过渡,以改善呈现给观看者的图像质量。 在图像捕获装置中,一个或多个检测器可操作以收集从相邻区域散射的光,并且控制器可操作以从扫描区域产生图像。

    Discovery of occurrence-data
    67.
    发明申请
    Discovery of occurrence-data 有权
    发现事件数据

    公开(公告)号:US20060046711A1

    公开(公告)日:2006-03-02

    申请号:US10909200

    申请日:2004-07-30

    Abstract: Methods, devices, and systems for discovery of electronic occurrence-data, including data protected by an information security measure. In an approach, an exemplary system includes data storage operable to store a plurality of instances of occurrence-data, each instance of the occurrence-data having a representative feature, a central computing device operable to communicate with the data storage, and instructions that cause a computing device to perform steps. The steps include receive from an input-selector an input selection corresponding to a target-occurrence having a representative feature, and select a pattern recognition criteria corresponding to the representative feature of the target-occurrence.

    Abstract translation: 用于发现电子出现数据的方法,设备和系统,包括受信息安全措施保护的数据。 在一种方法中,示例性系统包括可操作以存储多个发生数据实例的数据存储,出现数据的每个实例具有代表性特征,可操作以与数据存储器进行通信的中央计算装置以及导致 用于执行步骤的计算设备。 这些步骤包括从输入选择器接收与具有代表性特征的目标出现相对应的输入选择,并且选择与目标出现的代表特征相对应的模式识别准则。

    Data storage for distributed sensor networks

    公开(公告)号:US20060026164A1

    公开(公告)日:2006-02-02

    申请号:US10903652

    申请日:2004-07-30

    CPC classification number: G01D9/005 G06F17/30 H04L67/125 H04W84/18

    Abstract: Methods, devices, and systems that store occurrence-data gathered by a distributed sensor network. In an approach, an exemplary method includes receiving a target-occurrence selection, storing a parameter sensed by a sensor of the network in a sensor data set, and searching the sensor data set for data correlating to the target-occurrence. Data correlating to the target-occurrence is stored, and the sensed parameter is deleted from the data set. In another approach, an exemplary system includes a data storage device, a computing device operable to communication with the distributed sensors, and instructions implementing the above method.

    Aggregation and retrieval of network sensor data

    公开(公告)号:US20060026118A1

    公开(公告)日:2006-02-02

    申请号:US10903692

    申请日:2004-07-30

    CPC classification number: G06F17/30241 Y10S707/99933 Y10S707/99955

    Abstract: Methods, devices, and systems that aggregate and retrieve network sensor data. In one approach, an exemplary method includes receiving a plurality of instances of correlated sensor data from a plurality of remote data storages, each instance of sensor data respectively correlating to an occurrence. In another approach, an exemplary method includes receiving from an input-selector an input selection corresponding to a target-occurrence having at least one representative feature, and searching stored sensor data for sensor data correlating to the target-occurrence.

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