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    Roll container
    2.
    发明申请
    Roll container 失效
    卷容器

    公开(公告)号：US20060175804A1

    公开(公告)日：2006-08-10

    申请号：US10548494

    申请日：2004-03-09

    申请人： Stephen Bush ,  James Myers

    发明人： Stephen Bush ,  James Myers

    IPC分类号： B62B1/00

    CPC分类号： B62B3/16 ,  B62B3/004 ,  B62B5/0096 ,  B62B2205/006 ,  B62B2501/065

    摘要： A demountable, modular roll container comprises a plastics base (1) with wheels (13) (or castors) attached and two, three or four side plastics panels (2, 3) which lock into the base (1) with adjacent panels (2, 3) locking into each other. One or more shelves (18) lock into and stabilise the side panels. The whole assembly makes a modular two, three or four-sided container on wheels, with one, two or more compartments.

    摘要翻译： 可拆卸的模块化卷筒容器包括具有附接的轮子（13）（或脚轮）的塑料基座（1）和与相邻面板（2）锁定到基座（1）中的两个，三个或四个侧面塑料面板（2,3） ，3）锁定到彼此。 一个或多个货架（18）锁定并稳定侧板。 整个组件在轮子上形成模块化的两个，三个或四个侧面的容器，其中一个，两个或更多个隔间。

    Method for identifying sub-sequences of interest in a sequence
    3.
    发明申请
    Method for identifying sub-sequences of interest in a sequence 审中-公开
    识别序列中感兴趣的亚序列的方法

    公开(公告)号：US20050273274A1

    公开(公告)日：2005-12-08

    申请号：US10858744

    申请日：2004-06-02

    申请人： Scott Evans ,  Stephen Bush ,  Andrew Torres

    发明人： Scott Evans ,  Stephen Bush ,  Andrew Torres

    IPC分类号： G01N33/48 ,  G01N33/50 ,  G06F17/30 ,  G06F19/00

    CPC分类号： G16B30/00

    摘要： The present technique provides for the analysis of a data series to identify sequences of interest within the series. The analysis may be used to iteratively update a grammar used to analyze the data series or updated versions of the data series. Furthermore, the technique provides for the calculation of a minimum description length heuristic, such as a symbol compression ratio, for each sub-sequence of the analyzed data sequence. The technique may then compare a selected heuristic value against one or more reference conditions to determine if additional iteration is to be performed. The grammar and the data sequence may be updated between iterations to include a symbol representing a string corresponding to the selected heuristic value based upon a non-termination result of the comparison. Alternatively, the string corresponding to the selected heuristic value may be identified as a sequence of interest based upon a termination result of the comparison.

    摘要翻译： 本技术提供数据序列的分析以识别该系列内的感兴趣序列。 该分析可用于迭代地更新用于分析数据系列或数据系列的更新版本的语法。 此外，该技术提供了对分析数据序列的每个子序列的最小描述长度启发式计算，例如符号压缩比。 然后，技术可以将所选择的启发式值与一个或多个参考条件进行比较，以确定是否要执行附加迭代。 可以在迭代之间更新语法和数据序列，以基于比较的非终止结果来包括表示对应于所选择的启发式值的字符串的符号。 或者，可以基于比较的终止结果将对应于所选择的启发式值的字符串识别为感兴趣的序列。

    Method and system for classifying digital traffic
    4.
    发明授权
    Method and system for classifying digital traffic 有权
    数字流量分类方法和系统

    公开(公告)号：US07720013B1

    公开(公告)日：2010-05-18

    申请号：US10963142

    申请日：2004-10-12

    申请人： Margaret Kelliher ,  Stephen Bush ,  John Hershey ,  Scott Evans ,  Todd Hughes ,  Timothy Patrick Kelliher ,  Nathan Smith

    发明人： Margaret Kelliher ,  Stephen Bush ,  John Hershey ,  Scott Evans ,  Todd Hughes ,  Timothy Patrick Kelliher ,  Nathan Smith

    IPC分类号： H04L12/16

    CPC分类号： H04L43/00 ,  H04L41/142 ,  H04L41/147 ,  H04L41/16

    摘要： A method and system for analyzing continuous bit segments taken from a general data channel and classifying the sampled data by type, such as: voice, audio or data. B contiguous bits are converted to plus and minus deltas. The B-replaced values are then padded with B contiguous zeroes and the Fourier Transform of the padded sequence is computed. A power spectral density is derived from the Fourier Transform. In addition to the Fourier Transform, compression and entropy algorithms are performed on strings of bits within the message. The first B terms of the power spectral density and the results of the compression and entropy algorithms are used to differentiate and classify the data types, based on the premise that the combination of power spectral density, compression and entropy results yields parameters indicative of distinct types of data messages.

    摘要翻译： 一种用于分析从一般数据信道获取的连续位段的方法和系统，并根据类型（例如：语音，音频或数据）对采样数据进行分类。 B连续位被转换为正负三角形。 然后用B连续零填充B替换的值，并且计算填充序列的傅里叶变换。 功率谱密度是从傅里叶变换得到的。 除了傅里叶变换之外，压缩和熵算法是在消息中的位串上执行的。 功率谱密度的第一个B项和压缩和熵算法的结果用于区分和分类数据类型，前提是功率谱密度，压缩和熵结果的组合产生指示不同类型的参数 的数据消息。

    ROBUST UNINHABITED AIR VEHICLE ACTIVE MISSIONS
    5.
    发明申请
    ROBUST UNINHABITED AIR VEHICLE ACTIVE MISSIONS 有权
    坚固无人空气的主动任务

    公开(公告)号：US20070061116A1

    公开(公告)日：2007-03-15

    申请号：US09994447

    申请日：2001-11-27

    申请人： Stephen Bush

    发明人： Stephen Bush

    IPC分类号： G06G7/48

    CPC分类号： G01C23/00 ,  B64C2201/141

    摘要： A command sequence for an autonomous UAV mission is optimized by simulating the performance of a mission in a model environment. Using a genetic algorithm, neural net, or other suitable technique this command sequence is then optimized, to improve the outcome of the mission. A factor in selecting an optimal command sequence will be its compressability. A set of one or more optimal command sequences is compiled. Each optimal command sequence is encoded into an algorithmic active packet of minimum size for uploaded to the UAV, which then executes the mission. To track the UAV in its performance of the mission without compromising its location, the active packets are executed in the simulated environment. The simulated environment is continually updated with the most current available information. The simulation results are an approximation of the current state of the UAV.

    摘要翻译： 通过在模型环境中模拟任务的性能来优化自主UAV任务的命令序列。 使用遗传算法，神经网络或其他合适的技术，该命令序列然后被优化，以改善任务的结果。 选择最佳命令序列的一个因素将是其可压缩性。 编译一组一个或多个最优命令序列。 每个最优命令序列被编码成最小尺寸的算法活动分组，以上传到无人机，然后执行任务。 为了在不牺牲其位置的情况下跟踪UAV的性能，活动分组在模拟环境中执行。 模拟环境通过最新的可用信息不断更新。 仿真结果是UAV当前状态的近似值。