System and method for resource allocation and management
    1.
    发明授权
    System and method for resource allocation and management 有权
    资源配置管理系统和方法

    公开(公告)号:US08396730B2

    公开(公告)日:2013-03-12

    申请号:US13069638

    申请日:2011-03-23

    IPC分类号: G06Q10/00

    CPC分类号: G06Q10/0631

    摘要: To improve the scheduling and tasking of resources, the present disclosure describes an improved planning system and method for the allocation and management of resources. The planning system uses a branch and bound approach of tasking resources using a heuristic to expedite arrival at a deterministic solution. For each possible functional mode of the resources, an upper bound is determined. The upper bounds are employed in an objective function for the branch and bound process to determine the functional mode in which to place the resources and to determine movement paths for the resources, all in an environment where a hostile force may attempt to destroy the resources.

    摘要翻译: 为了改进资源的调度和任务,本公开描述了一种用于资源分配和管理的改进的规划系统和方法。 规划系统使用启发式方法使用分支和绑定的任务资源方法来加速到达确定性解决方案。 对于资源的每个可能的功能模式,确定上限。 上限用于分支和绑定过程的目标函数,以确定放置资源的功能模式,并确定资源的移动路径,所有这些都在敌对力量可能试图破坏资源的环境中。

    SYSTEM AND METHOD FOR RESOURCE ALLOCATION AND MANAGEMENT
    2.
    发明申请
    SYSTEM AND METHOD FOR RESOURCE ALLOCATION AND MANAGEMENT 有权
    资源分配与管理系统与方法

    公开(公告)号:US20120209652A1

    公开(公告)日:2012-08-16

    申请号:US13069638

    申请日:2011-03-23

    IPC分类号: G06Q10/00

    CPC分类号: G06Q10/0631

    摘要: To improve the scheduling and tasking of resources, the present disclosure describes an improved planning system and method for the allocation and management of resources. The planning system uses a branch and bound approach of tasking resources using a heuristic to expedite arrival at a deterministic solution. For each possible functional mode of the resources, an upper bound is determined. The upper bounds are employed in an objective function for the branch and bound process to determine the functional mode in which to place the resources and to determine movement paths for the resources, all in an environment where a hostile force may attempt to destroy the resources.

    摘要翻译: 为了改进资源的调度和任务,本公开描述了一种用于资源分配和管理的改进的规划系统和方法。 规划系统使用启发式方法使用分支和绑定的任务资源方法来加速到达确定性解决方案。 对于资源的每个可能的功能模式,确定上限。 上限用于分支和绑定过程的目标函数,以确定放置资源的功能模式,并确定资源的移动路径,所有这些都在敌对力量可能试图破坏资源的环境中。

    SYSTEM AND METHOD FOR RESOURCE ALLOCATION AND MANAGEMENT
    3.
    发明申请
    SYSTEM AND METHOD FOR RESOURCE ALLOCATION AND MANAGEMENT 有权
    资源分配与管理系统与方法

    公开(公告)号:US20110046837A1

    公开(公告)日:2011-02-24

    申请号:US12543665

    申请日:2009-08-19

    IPC分类号: G05D1/00

    CPC分类号: G05D1/104

    摘要: To improve the scheduling and tasking of sensors, the present disclosure describes an improved planning system and method for the allocation and management of sensors. In one embodiment, the planning system uses a branch and bound approach of tasking sensors using a heuristic to expedite arrival at a deterministic solution. In another embodiment, a progressive lower bound is applied to the branch and bound approach. Also, in another embodiment, a hybrid branch and bound approach is used where both local and global planning are employed in a tiered fashion.

    摘要翻译: 为了改进传感器的调度和任务,本公开描述了用于分配和管理传感器的改进的规划系统和方法。 在一个实施例中,规划系统使用启发式方法使用任务传感器的分支和绑定方法来加速到达确定性解决方案。 在另一个实施例中,渐进下界应用于分支和绑定方法。 此外,在另一个实施例中,使用混合分支和绑定方法,其中以分层方式采用本地和全局规划。

    Method and computer program product for generating training data for a new class in a pattern recognition classifier
    4.
    发明授权
    Method and computer program product for generating training data for a new class in a pattern recognition classifier 失效
    用于在模式识别分类器中生成新类的训练数据的方法和计算机程序产品

    公开(公告)号:US07113636B2

    公开(公告)日:2006-09-26

    申请号:US10232133

    申请日:2002-08-30

    IPC分类号: G06K9/62

    CPC分类号: G06K9/6256

    摘要: A method and computer program product are disclosed for generating training data over a plurality of feature variables for a new output class in a pattern recognition classifier representing a plurality of existing classes with previously calculated statistical parameters. Deviation measures are generated for each feature variable for each of the plurality of existing classes from the calculated statistical parameters. The deviation measures for each feature variable are averaged across the plurality of existing classes. Feature data is extracted from an ideal pattern, representing the new class, for each of the feature variables. Statistical parameters are approximated for each feature variable for the new class from the extracted feature data and the averaged deviation measures.

    摘要翻译: 公开了一种方法和计算机程序产品,用于通过表示具有先前计算的统计参数的多个现有类的模式识别分类器中的新输出类的多个特征变量生成训练数据。 根据计算的统计参数,为多个现有类中的每一个为每个特征变量生成偏差度量。 每个特征变量的偏差度量在多个现有类别之间进行平均。 从每个特征变量的理想模式中提取特征数据,代表新的类。 从提取的特征数据和平均偏差度量,对于新类的每个特征变量近似统计参数。

    Methods and apparatus for controlling deployment of systems
    5.
    发明授权
    Methods and apparatus for controlling deployment of systems 有权
    用于控制系统部署的方法和装置

    公开(公告)号:US08423224B1

    公开(公告)日:2013-04-16

    申请号:US12113018

    申请日:2008-04-30

    IPC分类号: G05D1/12 G06G7/48

    摘要: Methods and apparatus for controlling deployment of systems according to various aspects of the present invention operate in conjunction with at least one deployable asset, a scoring system, and an optimization system. The scoring and optimization systems provide an optimized solution to mission planning, asset positioning, and control of multiple entities within a geographic region. The system combines a scoring method with an optimization method to quickly select a globally optimal solution from a larger set of potential solutions.

    摘要翻译: 根据本发明的各个方面的用于控制系统部署的方法和装置与至少一个可部署资产,评分系统和优化系统一起运行。 评分和优化系统为任务规划,资产定位和对地理区域内多个实体的控制提供了一个优化的解决方案。 该系统将评分方法与优化方法相结合,从较大的潜在解决方案中快速选择全局最优解。

    METHODS AND APPARATUS FOR CONTROLLING DEPLOYMENT OF SYSTEMS
    7.
    发明申请
    METHODS AND APPARATUS FOR CONTROLLING DEPLOYMENT OF SYSTEMS 有权
    用于控制系统部署的方法和装置

    公开(公告)号:US20130085981A1

    公开(公告)日:2013-04-04

    申请号:US12113018

    申请日:2008-04-30

    IPC分类号: G06N5/02

    摘要: Methods and apparatus for controlling deployment of systems according to various aspects of the present invention operate in conjunction with at least one deployable asset, a scoring system, and an optimization system. The scoring and optimization systems provide an optimized solution to mission planning, asset positioning, and control of multiple entities within a geographic region. The system combines a scoring method with an optimization method to quickly select a globally optimal solution from a larger set of potential solutions.

    摘要翻译: 根据本发明的各个方面的用于控制系统部署的方法和装置与至少一个可部署资产,评分系统和优化系统一起运行。 评分和优化系统为任务规划,资产定位和对地理区域内多个实体的控制提供了一个优化的解决方案。 该系统将评分方法与优化方法相结合,从较大的潜在解决方案中快速选择全局最优解。

    Method and system for determining and correcting image orientation angle
    8.
    发明授权
    Method and system for determining and correcting image orientation angle 失效
    确定和校正图像定向角度的方法和系统

    公开(公告)号:US07068856B2

    公开(公告)日:2006-06-27

    申请号:US10245426

    申请日:2002-09-17

    IPC分类号: G06K9/36

    摘要: A simple and robust method for determining the orientation angle of a scanned image or the angular orientation of an object in an electronic image based on using descriptors of the image and systems that implement the method are disclosed. A system including means for acquiring the electronic image, means for determining image centroid coordinates, means for obtaining second order moments corresponding to the image, and, means for determining an orientation angle of a principal axis of the image implements the method.

    摘要翻译: 公开了一种用于基于使用实现该方法的图像的描述符和系统的图像来确定扫描图像的取向角或电子图像中的对象的角度定向的简单而鲁棒的方法。 一种包括用于获取电子图像的装置的系统,用于确定图像质心坐标的装置,用于获得与图像相对应的二阶矩的装置,以及用于确定图像的主轴的取向角的装置实现该方法。

    Grayscale image connected components segmentation
    9.
    发明授权
    Grayscale image connected components segmentation 失效
    灰度图像连接组件分割

    公开(公告)号:US06898314B2

    公开(公告)日:2005-05-24

    申请号:US10025789

    申请日:2001-12-26

    IPC分类号: G06K9/32 G06K9/38 G06K9/34

    摘要: A method and system of reading images. The method includes decimating an image and normalizing the decimated image. Then, rebinning grayscale pixel data associated with the decimated image and reassigning a selected range of grayscales representing a region of interest of the remapped grayscale pixel data to one while zeroing others. The method also includes labeling the connected pixels associated with the range of grayscales representing the region of interest and then extending the connected pixels through region growing using a preselected offset value. Lastly, the method includes filtering segmented regions of the connected pixels to eliminate certain candidates. The system is designed to implement the steps of the enumerated method.

    摘要翻译: 一种读取图像的方法和系统。 该方法包括抽取图像并对抽取的图像进行归一化。 然后,重新组合与抽取的图像相关联的灰度像素数据,并将表示重映射的灰度像素数据的感兴趣区域的所选择的灰度范围重新分配到一个,同时使另一个调零。 该方法还包括标记与表示感兴趣区域的灰度范围相关联的连接像素,然后使用预选的偏移值将连接的像素延伸通过区域生长。 最后,该方法包括过滤连接的像素的分段区域以消除某些候选。 该系统旨在实现枚举方法的步骤。

    Method and computer program product for identifying and correcting systematic noise in a pattern recognition system
    10.
    发明授权
    Method and computer program product for identifying and correcting systematic noise in a pattern recognition system 失效
    用于在模式识别系统中识别和校正系统噪声的方法和计算机程序产品

    公开(公告)号:US07305122B2

    公开(公告)日:2007-12-04

    申请号:US10217887

    申请日:2002-08-13

    IPC分类号: G06K9/62

    CPC分类号: G06K9/6256

    摘要: The present invention recites a method and computer program product for identifying and correcting systematic noise in a pattern recognition classifier. A plurality of input patterns that have been determined not to be associated with any of a set of at least one represented output class are rejected by the pattern recognition classifier. A subset of pattern samples is selected from the rejected input patterns based upon the similarity of each pattern to one of the represented output classes. The selected pattern samples are subjected to an independent review to determine if they were correctly rejected. The classifier is retrained based upon this independent review of the selected pattern samples.

    摘要翻译: 本发明提出了一种用于在模式识别分类器中识别和校正系统噪声的方法和计算机程序产品。 已经被确定为不与一组至少一个表示的输出类中的任何一个相关联的多个输入模式被模式识别分类器拒绝。 基于每个模式与所表示的输出类之一的相似性,从拒绝的输入模式中选择模式样本的子集。 所选择的模式样本经过独立审查,以确定它们是否被正确拒绝。 基于对所选模式样本的独立审查,分类器被重新训练。