Fuzzy logic approach in temporal fault reasoning and application in air handling units
    1.
    发明授权
    Fuzzy logic approach in temporal fault reasoning and application in air handling units 有权
    模糊逻辑方法在空中处理单元中的时间故障推理和应用

    公开(公告)号:US08326790B2

    公开(公告)日:2012-12-04

    申请号:US12488315

    申请日:2009-06-19

    CPC classification number: G05B15/02 G05B23/0278

    Abstract: A system that transforms information into fuzzy observable states. These states may be matched against a mapping table which indicates which observable state admits or excludes particular faults. This information may be processed over time when in each time instant the admitted or excluded faults are used for updating the rate for each fault.

    Abstract translation: 将信息转换为模糊可观察状态的系统。 这些状态可以与指示哪个可观察状态允许或排除特定故障的映射表相匹配。 该信息可以随时间被处理,当在每个时间瞬间,允许或排除的故障用于更新每个故障的速率。

    FUZZY LOGIC APPROACH IN TEMPORAL FAULT REASONING AND APPLICATION IN AIR HANDLING UNITS
    2.
    发明申请
    FUZZY LOGIC APPROACH IN TEMPORAL FAULT REASONING AND APPLICATION IN AIR HANDLING UNITS 有权
    空气处理单位时间故障原因和应用中的FUZZY LOGIC方法

    公开(公告)号:US20100325488A1

    公开(公告)日:2010-12-23

    申请号:US12488315

    申请日:2009-06-19

    CPC classification number: G05B15/02 G05B23/0278

    Abstract: A system that transforms information into fuzzy observable states. These states may be matched against a mapping table which indicates which observable state admits or excludes particular faults. This information may be processed over time when in each time instant the admitted or excluded faults are used for updating the rate for each fault.

    Abstract translation: 将信息转换为模糊可观察状态的系统。 这些状态可以与指示哪个可观察状态允许或排除特定故障的映射表相匹配。 该信息可以随时间被处理,当在每个时间瞬间,允许或排除的故障用于更新每个故障的速率。

    Setpoint optimization for air handling units
    3.
    发明授权
    Setpoint optimization for air handling units 有权
    空气处理单元的设定值优化

    公开(公告)号:US08560126B2

    公开(公告)日:2013-10-15

    申请号:US13046494

    申请日:2011-03-11

    Abstract: An approach for providing setpoint optimization for air handling units. An area for such optimization may incorporate choosing a thermal comfort level index, finding a zone air properties target area and computing a supply air properties target area. Beyond the present approach, an outdoor air portion may be optimized, a feasible psychrometric path found, supply airflow versus temperature optimized, and a controller run to meet setpoints.

    Abstract translation: 为空气处理单元提供设定点优化的方法。 用于这种优化的区域可以包括选择热舒适度指数,找到区域空气特性目标区域并计算供气特性目标区域。 除了目前的方法之外,可以优化室外空气部分,发现可行的湿气路径,提供气流与温度优化,并且控制器运行以满足设定值。

    SETPOINT OPTIMIZATION FOR AIR HANDLING UNITS
    4.
    发明申请
    SETPOINT OPTIMIZATION FOR AIR HANDLING UNITS 有权
    空中处理单位的设定点优化

    公开(公告)号:US20120232702A1

    公开(公告)日:2012-09-13

    申请号:US13046494

    申请日:2011-03-11

    Abstract: An approach for providing setpoint optimization for air handling units. An area for such optimization may incorporate choosing a thermal comfort level index, finding a zone air properties target area and computing a supply air properties target area. Beyond the present approach, an outdoor air portion may be optimized, a feasible psychrometric path found, supply airflow versus temperature optimized, and a controller run to meet setpoints.

    Abstract translation: 为空气处理单元提供设定点优化的方法。 用于这种优化的区域可以包括选择热舒适度指数,找到区域空气特性目标区域并计算供气特性目标区域。 除了目前的方法之外,可以优化室外空气部分,发现可行的湿气路径,提供气流与温度优化,并且控制器运行以满足设定值。

    Object alignment from a 2-dimensional image
    5.
    发明授权
    Object alignment from a 2-dimensional image 有权
    二维图像对象对齐

    公开(公告)号:US08941651B2

    公开(公告)日:2015-01-27

    申请号:US13228188

    申请日:2011-09-08

    Abstract: The present disclosure provides methods, machine readable media, and systems for object alignment from a 2-dimensional (2-D) image of the object. One or more embodiments include defining a 2-D shape in the 2-D image and a 3-dimensional (3-D) shape in a 3-D model of the object, mapping a number of corresponding points on the 2-D and 3-D shapes, defining the 2-D and 3-D shapes with a number of triangles, wherein a number of vertices of the number of triangles correspond to the number of points, subdividing the number of triangles defining the 2-D and 3-D shapes into a plurality of subdivided triangles that include a plurality of new vertices, and reconstructuring a 3-D image from the 2-D image by assigning a number of z-coordinates from the plurality of subdivided triangles of the 3-D shape to the plurality of subdivided triangles of the 2-D shape to create a 3-D reconstructured shape.

    Abstract translation: 本公开提供了用于从对象的二维(2-D)图像进行对象对准的方法,机器可读介质和系统。 一个或多个实施例包括在对象的3-D模型中定义2-D图像中的2-D形状和3维(3-D)形状,映射2-D上的多个对应点,以及 3-D形状,定义具有多个三角形的2-D和3-D形状,其中三角形数量的顶点数目对应于点数,细分定义2-D和3的三角形的数量 -D形成包括多个新顶点的多个细分三角形,并且通过从三维形状的多个细分三角形分配多个z坐标来从2D图像重建3D图像 到2-D形状的多个细分三角形以产生3-D重建形状。

    DETECTING RETAIL SHRINKAGE USING BEHAVIORAL ANALYTICS
    6.
    发明申请
    DETECTING RETAIL SHRINKAGE USING BEHAVIORAL ANALYTICS 有权
    使用行为分析检测零售业收缩

    公开(公告)号:US20120169879A1

    公开(公告)日:2012-07-05

    申请号:US12981922

    申请日:2010-12-30

    Abstract: Methods, devices, and systems for detecting retail shrinkage using behavior analytics are described herein. The retail shrinkage may be due to, for example, sweethearting, although embodiments of the present disclosure are not so limited and can be used to detect other forms of retail shrinkage as well. One or more device embodiments include a memory, and a processor coupled to the memory. The processor is configured to execute executable instructions stored in the memory to receive data associated with behavior of an individual and use the data associated with the behavior of the individual to determine whether the behavior of the individual is irregular to detect retail shrinkage.

    Abstract translation: 本文描述了使用行为分析来检测零售收缩的方法,装置和系统。 零售收缩可能是由于例如甜心,尽管本公开的实施例不限于此,并且也可以用于检测其他形式的零售收缩。 一个或多个设备实施例包括存储器和耦合到存储器的处理器。 处理器被配置为执行存储在存储器中的可执行指令以接收与个人行为相关联的数据,并且使用与个人行为相关联的数据来确定个体的行为是不规则的以检测零售收缩。

    Detecting retail shrinkage using behavioral analytics
    7.
    发明授权
    Detecting retail shrinkage using behavioral analytics 有权
    使用行为分析来检测零售收缩

    公开(公告)号:US09218580B2

    公开(公告)日:2015-12-22

    申请号:US12981922

    申请日:2010-12-30

    Abstract: Methods, devices, and systems for detecting retail shrinkage using behavior analytics are described herein. The retail shrinkage may be due to, for example, sweethearting, although embodiments of the present disclosure are not so limited and can be used to detect other forms of retail shrinkage as well. One or more device embodiments include a memory, and a processor coupled to the memory. The processor is configured to execute executable instructions stored in the memory to receive data associated with behavior of an individual and use the data associated with the behavior of the individual to determine whether the behavior of the individual is irregular to detect retail shrinkage.

    Abstract translation: 本文描述了使用行为分析来检测零售收缩的方法,装置和系统。 零售收缩可能是由于例如甜心,尽管本公开的实施例不限于此,并且也可以用于检测其他形式的零售收缩。 一个或多个设备实施例包括存储器和耦合到存储器的处理器。 处理器被配置为执行存储在存储器中的可执行指令以接收与个人行为相关联的数据,并且使用与个人行为相关联的数据来确定个体的行为是不规则的以检测零售收缩。

    System and method for ocular recognition
    8.
    发明授权
    System and method for ocular recognition 有权
    眼睛识别系统和方法

    公开(公告)号:US08385685B2

    公开(公告)日:2013-02-26

    申请号:US13155548

    申请日:2011-06-08

    CPC classification number: G06K9/00604 G06K9/4623

    Abstract: A system and method include decomposing via a computer an ocular region into several filtered images of different orientation and scale, using the computer to combine the decomposed images for each scale, using a computer executed classifier for each scale, matching across different quality images, and using a computer, constructing a matching score by combining the scale scores using adaptively weighted sum for each scale.

    Abstract translation: 系统和方法包括通过计算机将眼部区域分解为不同取向和尺度的几个滤波图像,使用计算机对每个比例组合分解的图像,使用用于每个比例的计算机执行的分类器,跨不同质量图像匹配,以及 使用计算机,通过使用每个比例的自适应加权和来组合比例分数来构建匹配分数。

    SYSTEM AND METHOD FOR OCULAR RECOGNITION
    9.
    发明申请
    SYSTEM AND METHOD FOR OCULAR RECOGNITION 有权
    用于视觉识别的系统和方法

    公开(公告)号:US20120314913A1

    公开(公告)日:2012-12-13

    申请号:US13155548

    申请日:2011-06-08

    CPC classification number: G06K9/00604 G06K9/4623

    Abstract: A system and method include decomposing via a computer an ocular region into several filtered images of different orientation and scale, using the computer to combine the decomposed images for each scale, using a computer executed classifier for each scale, matching across different quality images, and using a computer, constructing a matching score by combining the scale scores using adaptively weighted sum for each scale.

    Abstract translation: 系统和方法包括通过计算机将眼部区域分解为不同取向和尺度的几个滤波图像,使用计算机对每个比例组合分解的图像,使用用于每个比例的计算机执行的分类器,跨不同质量图像匹配,以及 使用计算机,通过使用每个比例的自适应加权和来组合比例分数来构建匹配分数。

    Quality driven image processing for ocular recognition system
    10.
    发明授权
    Quality driven image processing for ocular recognition system 有权
    用于眼睛识别系统的质量驱动图像处理

    公开(公告)号:US08879800B2

    公开(公告)日:2014-11-04

    申请号:US13161069

    申请日:2011-06-15

    Abstract: A method and system include receiving an image to process for an image recognition system, determining a quality of the received image, and creating a point distribution model for an active shape model, wherein the point distribution model has a number of points defining an outline of the image, the number of points being determined as a function of the quality of the image. A further method includes selecting a target local appearance model for fitting a point as a function of the determined quality of the received image to determine the location of the point. Yet a further method includes matching the probe image to a plurality of target images using a quality driven cascade classifier.

    Abstract translation: 一种方法和系统包括接收图像以处理图像识别系统,确定接收到的图像的质量,以及为活动形状模型创建点分布模型,其中点分布模型具有多个点,其定义了 图像,根据图像的质量确定点的数量。 另一种方法包括:根据所确定的接收图像的质量来选择用于拟合点的目标局部外观模型,以确定点的位置。 另一种方法包括使用质量驱动级联分类器将探测图像与多个目标图像进行匹配。

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