Method And Apparatus For Inspecting Ceramic Wall Flow Filters
    71.
    发明申请
    Method And Apparatus For Inspecting Ceramic Wall Flow Filters 有权
    陶瓷墙流量过滤器检测方法及装置

    公开(公告)号:US20110048109A1

    公开(公告)日:2011-03-03

    申请号:US12548057

    申请日:2009-08-26

    Abstract: Methods are disclosed for inspecting a cylindrical porous ceramic body by positioning a diffuser near, and spaced apart from, the first end of a ceramic body; flowing a tracer flow toward the diffuser, wherein a first portion of the tracer flow passes through the diffuser, and a second portion of the tracer flow does not pass through the diffuser, the first and second portions of the tracer flow then entering the first end of the ceramic body, wherein the average velocity of the first portion of the tracer flow entering the ceramic body VAVG1 is lower than the average velocity of the second portion of the tracer flow entering the ceramic body VAVG2; directing light toward the second end of the ceramic body; and detecting reflected light coming from a location proximate the second transverse face at the second end of the ceramic body.

    Abstract translation: 公开了用于通过将陶瓷体的第一端附近和间隔开设置扩散器来检查圆柱形多孔陶瓷体的方法; 使示踪剂流朝向扩散器流动,其中示踪剂流的第一部分通过扩散器,并且示踪剂流的第二部分不通过扩散器,示踪剂流的第一和第二部分然后进入第一端 其中进入陶瓷体VAVG1的示踪剂流的第一部分的平均速度低于进入陶瓷体VAVG2的示踪剂流的第二部分的平均速度; 将光引向陶瓷体的第二端; 以及检测来自陶瓷体的第二端处靠近第二横向面的位置的反射光。

    Accommodation belt for rolling element, and linear guide apparatus
    73.
    发明授权
    Accommodation belt for rolling element, and linear guide apparatus 有权
    滚动元件用带,线性引导装置

    公开(公告)号:US07736060B2

    公开(公告)日:2010-06-15

    申请号:US11639246

    申请日:2006-12-15

    CPC classification number: F16C29/0647 F16C29/0609 F16C33/3825 F16C43/06

    Abstract: In a linear guide apparatus, a rolling-element accommodation belt 50 is incorporated into each of endless circulation passages. This rolling-element accommodation belt 50 is formed into a shape having ends and has a plurality of rolling-element accommodation sections for individually accommodating balls 46. Of the rolling-element accommodation sections, first rolling-element accommodation sections 55A located at the respective end sections are formed so as to constrain movement of a spacer section 59 located at the end section toward the outer periphery side of an endless circulation passage by means of the ball 46 accommodated in the spacer section. Second rolling-element accommodation sections 55B other than the first rolling-element accommodation sections are formed so as to enable removable accommodation of the balls 46 to be accommodated toward the inner periphery side of the endless circulation passage.

    Abstract translation: 在线性引导装置中,将滚动体容纳带50并入到各循环通路中。 该滚动体容纳带50形成为具有端部的形状,并且具有多个滚动体容纳部,用于分别容纳滚珠46.在滚动体容纳部中,位于各端的第一滚动体容纳部55A 形成为通过容纳在间隔部中的球体46来限制位于端部的间隔部分59的移动朝向循环循环通道的外周侧的运动。 形成除了第一滚动体容纳部以外的第二滚动体容纳部55B,能够使能够朝向环状循环通路的内周侧容纳的滚珠46的移动容纳。

    Efficient Multi-Hypothesis Multi-Human 3D Tracking in Crowded Scenes
    76.
    发明申请
    Efficient Multi-Hypothesis Multi-Human 3D Tracking in Crowded Scenes 有权
    在拥挤的场景中的有效的多假设多人类3D跟踪

    公开(公告)号:US20090296985A1

    公开(公告)日:2009-12-03

    申请号:US12277278

    申请日:2008-11-24

    Abstract: System and methods are disclosed to perform multi-human 3D tracking with a plurality of cameras. At each view, a module receives each camera output and provides 2D human detection candidates. A plurality of 2D tracking modules are connected to the CNNs, each 2D tracking module managing 2D tracking independently. A 3D tracking module is connected to the 2D tracking modules to receive promising 2D tracking hypotheses. The 3D tracking module selects trajectories from the 2D tracking modules to generate 3D tracking hypotheses.

    Abstract translation: 公开了用多个摄像机进行多人3D跟踪的系统和方法。 在每个视图中,模块接收每个摄像机输出并提供2D人类检测候选。 多个2D跟踪模块连接到CNN,每个2D跟踪模块独立管理2D跟踪。 3D跟踪模块连接到2D跟踪模块,以接收有希望的2D跟踪假设。 3D跟踪模块从2D跟踪模块中选择轨迹,以生成3D跟踪假设。

    Process for the polymerizaion of olefins
    78.
    发明申请
    Process for the polymerizaion of olefins 有权
    烯烃聚合方法

    公开(公告)号:US20090203859A1

    公开(公告)日:2009-08-13

    申请号:US11921616

    申请日:2006-05-12

    Abstract: The present invention relates to a process for the polymerization of olefins, comprising the steps of introducing at least one olefin, at least one polymerization catalyst, at least one cocatalyst and at least one cocatalyst aid, and optionally a scavenger, into a polymerization reactor, and polymerizing the olefin, wherein the cocatalyst aid is a reaction product prepared separately prior to the introduction into the reactor by reacting at least one metal alkyl compound of group IIA or IIIA of the periodic system of elements and at least one compound (A) of the formula RmXR′n, wherein R is a branched, straight, or cyclic, substituted or unsubstituted, hydrocarbon group having 1 to 30 carbon atoms, R′ is hydrogen or any functional group with at least one active hydrogen, X is at least one heteroatom selected from the group of O, N, P or S or a combination thereof, and wherein n and m are each at least 1 and are such that the formula has no net charge.

    Abstract translation: 本发明涉及一种烯烃聚合方法,包括以下步骤:将至少一种烯烃,至少一种聚合催化剂,至少一种助催化剂和至少一种助催化剂助剂以及任选的清除剂引入聚合反应器中, 并且使所述烯烃聚合,其中所述助催化剂是通过使至少一种元素周期系统的IIA族或IIIA族的至少一种金属烷基化合物与至少一种元素周期系统的至少一种化合物(A)反应,在引入反应器之前分别制备的反应产物 式RmXR'n,其中R是具有1至30个碳原子的支链,直链或环状的取代或未取代的烃基,R'是氢或具有至少一个活性氢的任何官能团,X是至少一个 选自O,N,P或S或其组合的杂原子,并且其中n和m各自为至少1并且使得该式不具有净电荷。

    Transfer Learning Methods and systems for Feed-Forward Visual Recognition Systems
    79.
    发明申请
    Transfer Learning Methods and systems for Feed-Forward Visual Recognition Systems 有权
    前馈视觉识别系统的转移学习方法和系统

    公开(公告)号:US20090141969A1

    公开(公告)日:2009-06-04

    申请号:US12277504

    申请日:2008-11-25

    CPC classification number: G06K9/6256 G06N3/08

    Abstract: A method and system for training a neural network of a visual recognition computer system, extracts at least one feature of an image or video frame with a feature extractor; approximates the at least one feature of the image or video frame with an auxiliary output provided in the neural network; and measures a feature difference between the extracted at least one feature of the image or video frame and the approximated at least one feature of the image or video frame with an auxiliary error calculator. A joint learner of the method and system adjusts at least one parameter of the neural network to minimize the measured feature difference.

    Abstract translation: 一种用于训练视觉识别计算机系统的神经网络的方法和系统,使用特征提取器提取图像或视频帧的至少一个特征; 使用在神经网络中提供的辅助输出近似图像或视频帧的至少一个特征; 并且利用辅助误差计算器测量提取的图像或视频帧的至少一个特征与图像或视频帧的近似的至少一个特征之间的特征差异。 该方法和系统的联合学习者调整神经网络的至少一个参数以最小化测量的特征差异。

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