-
1.发明申请公开(公告)号：US20120089554A1
公开(公告)日：2012-04-12
申请号：US13378323
申请日：2010-06-22
IPC分类号： G06N5/02
CPC分类号： G06N7/005
摘要： The method includes receiving a plurality of target observations from a respective plurality of sensors and using the target observations to compute target state estimates. Each of the target state estimates is assessed to check if it suffers from one of a set of modelled possible fault types. The target state estimates are adjusted to compensate for any modelled fault type when it is assessed to be suffering from that fault type. A reliability value is computed for each of the target state estimates and the target state estimates are fused together based on the computed reliability values to produce a fused target state estimate.
摘要翻译： 该方法包括从相应的多个传感器接收多个目标观测值，并使用目标观测来计算目标状态估计。 评估每个目标状态估计值，以检查它是否受到一组建模可能的故障类型之一的影响。 调整目标状态估计值以补偿任何建模故障类型，当它被评估为遭受该故障类型时。 针对每个目标状态估计计算可靠性值，并且基于所计算的可靠性值将目标状态估计融合在一起以产生融合目标状态估计。
-
公开(公告)号：US09721211B2
公开(公告)日：2017-08-01
申请号：US14124177
申请日：2012-05-31
CPC分类号： G06N99/005 , G06K9/629
摘要： A method and apparatus for processing data, the data including a set of one or more system inputs; and a set of one or more system outputs; wherein each system output corresponds to a respective system input. Each system input can include a plurality of data points, such that at least one of these data points is from a different data source to at least one other of those data points. The method includes performing a kernel function on a given system input from the data and a further system input to provide kernelized data; and inferring a value indicative of a significance of data from a particular data source; wherein the inferring includes applying a regression technique to the kernelized data.
-
公开(公告)号：US08104484B2
公开(公告)日：2012-01-31
申请号：US11597673
申请日：2005-05-24
IPC分类号： A24B15/18
CPC分类号： B01J23/52 , A23V2002/00 , A24B15/42 , A24D3/16 , B01J23/66 , A23V2250/1568 , A23V2250/1564 , A23V2250/1642 , A23V2200/254 , A23V2250/1588 , A23V2250/1612
摘要： A smoking article such as a cigarette, or a smoke filter or other component thereof, comprises a catalyst for the oxidation of carbon monoxide to carbon dioxide. The catalyst comprises gold, and an oxide of zinc or titanium. Titania and mixed oxides of zinc and copper or aluminum are preferred (TiO2, ZnO, ZnAlOx or CuZnOx). The gold preferably comprises species in the metallic state)(Au0), together with species in an oxidized state (Auδ+).
摘要翻译： 吸烟物品如香烟或烟雾过滤器或其它组分包括用于将一氧化碳氧化成二氧化碳的催化剂。 催化剂包括金和锌或钛的氧化物。 二氧化钛和锌和铜或铝的混合氧化物是优选的（TiO 2，ZnO，ZnAlO x或CuZnO x）。 金优选包含处于金属状态的物质（Au0），以及处于氧化态的物质（Auδ+）。
-
4.发明申请公开(公告)号：US20110169951A1
公开(公告)日：2011-07-14
申请号：US13056478
申请日：2009-07-30
CPC分类号： G06K9/6293 , G01S13/726 , G01S13/86
摘要： A method of estimating states of a plurality of targets tracked by a plurality of sensors. The method includes obtaining a plurality of data sets based on measurements taken by a plurality of sensors, each data set including information on states of a plurality of targets. The method then generates a plurality of target correlation data sets describing correlation of the targets within a first data set and at least one other data set. A Generalised Covariance Union (GCU) technique is used to merge at least some of the plurality of target correlation data sets to generate an estimate of the states of the plurality of targets.
摘要翻译： 一种估计由多个传感器跟踪的多个目标的状态的方法。 该方法包括基于由多个传感器获得的测量值获得多个数据集，每个数据集包括关于多个目标的状态的信息。 该方法然后生成描述第一数据集和至少一个其他数据集中的目标的相关性的多个目标相关数据集。 使用广义协方差联盟（GCU）技术来合并多个目标相关数据集中的至少一些以产生多个目标的状态的估计。
-
公开(公告)号：US06397951B1
公开(公告)日：2002-06-04
申请号：US09269130
申请日：1999-03-19
申请人： Stephen John Roberts
发明人： Stephen John Roberts
IPC分类号： E21B1701
CPC分类号： E21B17/01
摘要： A marine riser, particularly but not exclusively for use in connecting a subsea well installation to a dynamically positioned servicing vessel, comprises at least one section formed from rigid pipe and at least one section formed from flexible pipe. Preferably, the upper and lower sections (10, 12) are formed from fixed lengths of flexible pipe and the central section is formed from a plurality of lengths of rigid pipe which may be assembled to make up any required length. The riser may be deployed from a moonpool of the vessel and serves to accommodate movements of the vessel on the surface. This allows the use of a dynamically positioned service vessel rather than a conventional drilling rig.
摘要翻译： 海洋提升器，特别但不排他地用于将海底井装置连接到动态定位的维护船只上，包括由刚性管形成的至少一个部分和由柔性管形成的至少一个部分。 优选地，上部和下部（10,12）由固定长度的柔性管形成，并且中心部分由多个长度的刚性管形成，其可组装以构成任何所需长度。 提升管可以从容器的月球部署并用于适应容器在表面上的移动。 这允许使用动态定位的服务船而不是常规的钻机。
-
公开(公告)号：US09367819B2
公开(公告)日：2016-06-14
申请号：US14123468
申请日：2012-05-31
CPC分类号： G06N99/005 , G06N5/04
摘要： A method and apparatus for processing data, the data including: a set of one or more system inputs; and a set of one or more system outputs; wherein each system output corresponds to a respective system input; each system input includes a plurality of data points, a first data point in the plurality and a second data point in the plurality being from a same raw data source, and the first data point being pre-processed using a different pre-processing method relative to a pre-processing method used to pre-process the second data point, the method including: for each of the first and second data points, inferring a value indicative of a significance of the pre-processing method used to pre-process that data point; wherein the inferring includes performing a machine learning algorithm on a given system input from the data and a further system input.
摘要翻译： 一种用于处理数据的方法和装置，所述数据包括：一组一个或多个系统输入; 和一组一个或多个系统输出; 其中每个系统输出对应于相应的系统输入; 每个系统输入包括多个数据点，多个中的第一数据点和多个中的第二数据点来自相同的原始数据源，并且第一数据点使用不同的预处理方法相对于预处理 涉及一种用于预处理第二数据点的预处理方法，所述方法包括：对于第一和第二数据点中的每一个，推断出用于预处理该数据的预处理方法的重要性的值 点; 其中所述推断包括对来自所述数据的给定系统输入执行机器学习算法和另外的系统输入。
-
7.发明授权公开(公告)号：US08706676B2
公开(公告)日：2014-04-22
申请号：US13378323
申请日：2010-06-22
IPC分类号： G06N5/02
CPC分类号： G06N7/005
摘要： The method includes receiving a plurality of target observations from a respective plurality of sensors and using the target observations to compute target state estimates. Each of the target state estimates is assessed to check if it suffers from one of a set of modelled possible fault types. The target state estimates are adjusted to compensate for any modelled fault type when it is assessed to be suffering from that fault type. A reliability value is computed for each of the target state estimates and the target state estimates are fused together based on the computed reliability values to produce a fused target state estimate.
摘要翻译： 该方法包括从相应的多个传感器接收多个目标观测值，并使用目标观测来计算目标状态估计。 评估每个目标状态估计值，以检查它是否受到一组建模可能的故障类型之一的影响。 调整目标状态估计值以补偿任何建模故障类型，当它被评估为遭受该故障类型时。 针对每个目标状态估计计算可靠性值，并且基于所计算的可靠性值将目标状态估计融合在一起以产生融合目标状态估计。
-
公开(公告)号：US20140101083A1
公开(公告)日：2014-04-10
申请号：US14123468
申请日：2012-05-31
IPC分类号： G06N99/00
CPC分类号： G06N99/005 , G06N5/04
摘要： A method and apparatus for processing data, the data including: a set of one or more system inputs; and a set of one or more system outputs; wherein each system output corresponds to a respective system input; each system input includes a plurality of data points, a first data point in the plurality and a second data point in the plurality being from a same raw data source, and the first data point being pre-processed using a different pre-processing method relative to a pre-processing method used to pre-process the second data point, the method including: for each of the first and second data points, inferring a value indicative of a significance of the pre-processing method used to pre-process that data point; wherein the inferring includes performing a machine learning algorithm on a given system input from the data and a further system input.
摘要翻译： 一种用于处理数据的方法和装置，所述数据包括：一组一个或多个系统输入; 和一组一个或多个系统输出; 其中每个系统输出对应于相应的系统输入; 每个系统输入包括多个数据点，多个中的第一数据点和多个中的第二数据点来自相同的原始数据源，并且第一数据点使用不同的预处理方法相对于预处理 涉及一种用于预处理第二数据点的预处理方法，所述方法包括：对于第一和第二数据点中的每一个，推断出用于预处理该数据的预处理方法的重要性的值 点; 其中所述推断包括对来自所述数据的给定系统输入执行机器学习算法和另外的系统输入。
-
公开(公告)号：US5971666A
公开(公告)日：1999-10-26
申请号：US704693
申请日：1996-11-26
摘要： An apparatus for laying marine pipelines of the type in which the pipeline is assembled along a horizontal axis on board a pipelaying vessel prior to being launched therefrom; in which the pipeline is plastically bent to a desired launch angle and, in most cases, at least partially straightened thereafter. In preferred embodiments, the pipeline is bent through an angle greater than 90.degree.. In the most preferred embodiments, the pipeline is diverted through an angle of substantially 270.degree., plus or minus an angle allowing variation in the launch angle from the vertical, and crosses itself prior to entering the water. The pipeline (102) is diverted by being passed around a wheel-like diverter structure (104), the pipeline being assembled in multiple fabrication lines to produce stalks which are aligned and connected in a central firing line prior to being fed around the diverter structure. Other variations are also described.
摘要翻译： PCT No.PCT / GB95 / 00573 Sec。 371日期1996年11月26日 102（e）日期1996年11月26日PCT 1995年3月16日PCT公布。 WO95 / 25237 PCT出版物 日期1995年9月21日一种用于铺设管道的类型的装置，其中管道在水平管道上沿水平轴组装在管道运输船上， 其中管道被塑性地弯曲到期望的发射角，并且在大多数情况下，至少部分地将管道弯曲。 在优选实施例中，管道弯曲大于90°的角度。 在最优选的实施例中，管道被转向大致270°的角度，加上或减去允许发射角度与垂直方向发生变化的角度，并且在进入水之前穿过自身。 管道（102）通过围绕轮状分流器结构（104）转向，该管道被组装在多条生产线中以产生在被引导到分流器结构之前在中心点火线对准和连接的杆 。 还描述了其它变化。
-
10.发明授权公开(公告)号：US08610775B2
公开(公告)日：2013-12-17
申请号：US13056478
申请日：2009-07-30
CPC分类号： G06K9/6293 , G01S13/726 , G01S13/86
摘要： A method of estimating states of a plurality of targets tracked by a plurality of sensors. The method includes obtaining a plurality of data sets based on measurements taken by a plurality of sensors, each data set including information on states of a plurality of targets. The method then generates a plurality of target correlation data sets describing correlation of the targets within a first data set and at least one other data set. A Generalised Covariance Union (GCU) technique is used to merge at least some of the plurality of target correlation data sets to generate an estimate of the states of the plurality of targets.
摘要翻译： 一种估计由多个传感器跟踪的多个目标的状态的方法。 该方法包括基于由多个传感器获得的测量值获得多个数据集，每个数据集包括关于多个目标的状态的信息。 该方法然后生成描述第一数据集和至少一个其他数据集中的目标的相关性的多个目标相关数据集。 使用广义协方差联盟（GCU）技术来合并多个目标相关数据集中的至少一些以产生多个目标的状态的估计。
-
-
-
-
-
-
-
-
-
搜索结果
11 条记录 (耗时 0.024 秒)
