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    • 5. 发明申请
    • SYSTEM AND METHOD FOR ARBITRATING OUTPUTS FROM A PLURALITY OF THREAT ANALYSIS SYSTEMS
    • 从多个威胁分析系统中产生输出的系统和方法
    • US20090055344A1
    • 2009-02-26
    • US12129393
    • 2008-05-29
    • Peter DuganRosemary D. Paradis
    • Peter DuganRosemary D. Paradis
    • G06N7/02
    • G01N23/06G06K9/6263
    • A method of arbitrating outputs from a set of threat analysis algorithms or systems. The method can include receiving threat outputs from different threat analysis algorithms. Each threat output can be assigned to a class membership. Rules can be applied based on the threat outputs and the respective class membership. Each rule can provide an amount of support mass to a hypothesis and an amount of uncertainty mass. The rules can have an associated priority value for weighting the masses. A combined belief value for each hypothesis and a total uncertainty value can be determined based on the provided masses. The method can further include generating a decision matrix of the hypotheses and combined belief values. A hypothesis can be selected from the decision matrix based on the combined belief value.
    • 从一组威胁分析算法或系统仲裁输出的方法。 该方法可以包括接收来自不同威胁分析算法的威胁输出。 每个威胁输出都可以分配给一个类成员资格。 规则可以基于威胁输出和相应的类成员进行应用。 每个规则可以为假设提供一定数量的支持质量和一定量的不确定性质量。 规则可以具有用于对质量加权的相关联的优先级值。 可以基于提供的质量来确定每个假设和总不确定性值的组合置信度值。 该方法还可以包括生成假设和组合置信值的决策矩阵。 可以根据组合的置信值从决策矩阵中选择一个假设。
    • 6. 发明授权
    • Cognitive arbitration system
    • 认知仲裁制度
    • US07340443B2
    • 2008-03-04
    • US10846407
    • 2004-05-14
    • Peter DuganLori K. LewisRosemary D. ParadisDennis A. Tillotson
    • Peter DuganLori K. LewisRosemary D. ParadisDennis A. Tillotson
    • G06N7/02G06N5/04G06F15/18
    • G06K9/6292G06N7/02
    • A method and computer product is disclosed for arbitrating the outputs of a plurality of recognizers to select a hypothesis associated with a given input from a plurality of hypotheses. Fuzzy membership states are assigned to respective candidate outputs of the plurality of recognizers. At least one rule is selected according to the assigned fuzzy membership states. A selected rule provides a determined amount of support mass for an associated one of the plurality of hypotheses and a determined amount of uncertainty mass. A support value for each hypothesis and an overall uncertainty are determined from the provided mass values. A hypothesis having a highest support value while having an acceptable low level of uncertainty is selected.
    • 公开了一种用于仲裁多个识别器的输出以从多个假设中选择与给定输入相关联的假设的方法和计算机产品。 模糊隶属度状态被分配给多个识别器的相应候选输出。 根据分配的模糊隶属状态选择至少一个规则。 所选择的规则为所述多个假设中的相关联的假设提供确定量的支持质量和确定的不确定量的量。 从提供的质量值确定每个假设的支持值和总体不确定性。 选择具有最高支持值而具有可接受的低不确定度水平的假设。
    • 9. 发明授权
    • Material context analysis
    • 物质背景分析
    • US08094874B2
    • 2012-01-10
    • US12129383
    • 2008-05-29
    • Peter DuganRobert L. FinchRosemary D. Paradis
    • Peter DuganRobert L. FinchRosemary D. Paradis
    • G06K9/62G01N23/04G06K9/00
    • G01N23/06G06K9/6263
    • A process for contextual analysis of radiographic image data can be embodied as a method, system, and computer software program, among other things. The process can include receiving a radiographic image and performing a region analysis including identifying a region within the radiographic images having an estimated atomic number within a predetermined range and determining if the region is in an expected location. The process can also include performing a material feature analysis to identify whether a feature present in the radiographic image is associated with an obscuration characteristic. The process can include providing context information and generating, as output, a region of interest in the radiographic image, the region of interest being determined based upon a set of rules and the region analysis, the material feature analysis, and the context information.
    • 用于放射照相图像数据的上下文分析的过程可以体现为方法,系统和计算机软件程序等等。 该过程可以包括接收射线照相图像并执行区域分析,包括识别具有在预定范围内的估计原子序数的放射线照相图像内的区域,并确定该区域是否处于预期位置。 该过程还可以包括执行材料特征分析以识别放射线照相图像中存在的特征是否与遮蔽特征相关联。 该过程可以包括提供上下文信息并且在射线照相图像中生成感兴趣区域作为输出,基于一组规则和区域分析,材料特征分析和上下文信息确定感兴趣区域。
    • 10. 发明申请
    • OBJECT SEGMENTATION RECOGNITION
    • 对象分类识别
    • US20090003651A1
    • 2009-01-01
    • US12129036
    • 2008-05-29
    • Peter DuganKenei SuntaratRobert L. FinchRosemary D. Paradis
    • Peter DuganKenei SuntaratRobert L. FinchRosemary D. Paradis
    • G06K9/00
    • G01N23/06G06K9/6263
    • A system for segmenting radiographic images of a cargo container can include an object segmentation recognition module adapted to perform a series of functions. The functions can include receiving a plurality of radiographic images of a cargo container, each image generated using a different energy level and segmenting each of the radiographic images using one or more segmentation modules to generate segmentation data representing one or more image segments. The functions can also include identifying image layers within the radiographic images using a plurality of layer analysis modules by providing the plurality of radiographic images and the segmentation data as input to the layer analysis modules, and determining adjusted atomic number values for an atomic number image based on the image layers. The functions can include adjusting the atomic number image based on the adjusted atomic number values for the regions of interest to generate an adjusted atomic number image and identifying regions of interest within the adjusted atomic number image based on an image characteristic. The functions can also include providing coordinates of each region of interest and the adjusted atomic number image as output.
    • 用于分割货物集装箱的放射照相图像的系统可以包括适于执行一系列功能的物体分割识别模块。 这些功能可以包括接收货物集装箱的多个放射照相图像,使用不同的能量级别生成每个图像,并使用一个或多个分割模块分割每个放射线照相图像,以产生表示一个或多个图像片段的分割数据。 这些功能还可以包括通过提供多个放射照相图像和分割数据作为层分析模块的输入,并使用多个层分析模块来确定放射照相图像内的图像层,并确定基于原子序数图像的调整的原子序数值 在图像层上。 这些功能可以包括基于所感兴趣区域的经调整的原子序数值来调整原子序数图像,以产生经调整的原子序数图像,并且基于图像特征来识别调整后的原子序数图像内的感兴趣区域。 这些功能还可以包括提供每个感兴趣区域的坐标和调整后的原子序数图像作为输出。