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    IMAGE CAPTURE SYSTEM
    12.
    发明授权
    IMAGE CAPTURE SYSTEM 审中-公开

    公开(公告)号：EP2810430B1

    公开(公告)日：2018-12-26

    申请号：EP13704684.3

    申请日：2013-01-31

    申请人： Dealer Dot Com, Inc.

    发明人： LASCOLEA, James ,  STEIN, Jesse ,  MCKENNEDY, Michael

    IPC分类号： H04N5/232

    CPC分类号： H04N5/23293 ,  G06F3/005 ,  G11B27/031 ,  H04N5/23222 ,  H04N5/23229

    摘要： A method of taking an image of a scene that includes an item of interest, includes providing a digital imaging device having an imaging lens and a viewing screen and electronically providing an alignment feature on the viewing screen. The alignment feature is configured to allow a viewer to see both the alignment feature and an image of the item of interest on the viewing screen. The method includes adjusting at least one parameter from the group consisting of angular position of the digital imaging device with respect to the item of interest and angular orientation of the digital imaging device to achieve alignment of the image of the item of interest on the viewing screen with the alignment feature wherein the alignment feature has a structure so that the adjusting to achieve alignment restricts to exclusively one angular position of the digital imaging device with respect to the item of interest and exclusively one angular orientation of the digital imaging device. The method also includes capturing the image of the item of interest.

    ROTARY STEERABLE DRILLING TOOL
    15.
    发明公开
    ROTARY STEERABLE DRILLING TOOL 审中-公开

    公开(公告)号：EP3400359A1

    公开(公告)日：2018-11-14

    申请号：EP16884094.0

    申请日：2016-01-06

    申请人： Isodrill, Inc.

    发明人： BARGACH, Saad ,  BONNER, Stephen, D. ,  NOLD, Raymond, V., III ,  MASSEY, James, P. ,  BRUNETTI, Jon, A.

    IPC分类号： E21B17/02

    摘要： The rotary steerable drilling tool and system described herein combines both point-the-bit and push-the-bit techniques to actively change the direction of the borehole trajectory. In this system, the deflection of the drill bit is limited to a single degree of freedom relative to a coordinate system that is fixed to and rotates with the rotary steerable drilling tool, resulting in a simplified attachment of the bit assembly and bias unit mechanics. Further, steering of the well is accomplished by dynamically controlling the spatial phase and amplitude of the coherent symmetrical bidirectional reciprocating deflections of the drill bit relative to a fixed terrestrial datum as the tool is rotating, simultaneously pointing and pushing the bit. The amplitude and force of the bit deflections can be variably controlled during steering operations to dynamically adjust the instantaneous build rate as needed. When steering is not active, the bit can be mechanically locked into the neutral position.

    SCALABLE COMPLEX EVENT PROCESSING WITH PROBABILISTIC MACHINE LEARNING MODELS TO PREDICT SUBSEQUENT GEOLOCATIONS
    20.
    发明公开
    SCALABLE COMPLEX EVENT PROCESSING WITH PROBABILISTIC MACHINE LEARNING MODELS TO PREDICT SUBSEQUENT GEOLOCATIONS 审中-公开
    基于概率机器学习模型的可扩展复杂事件处理预测后续地理位置

    公开(公告)号：EP3292518A1

    公开(公告)日：2018-03-14

    申请号：EP16790096.8

    申请日：2016-05-05

    申请人： RetailMeNot, Inc.

    发明人： REESE, David, John ,  TABERNER-MILLER, Annette, M. ,  ACHARYA, Sankalp ,  ADAM, Lipphei

    IPC分类号： G06Q10/04 ,  G06F17/30 ,  G06F17/18

    CPC分类号： G06N99/005 ,  G06F17/30241 ,  G06N3/0445 ,  G06N7/005

    摘要： Provided is a process, including: obtaining a set of historical geolocations; segmenting the historical geolocations into a plurality of temporal bins; determining pairwise transition probabilities between a set of geographic places based on the historical geolocations; configuring a compute cluster by assigning subsets of the transition probabilities to computing devices in the compute cluster; receiving a geolocation stream indicative of current geolocations of individuals; selecting a computing device in the compute cluster in response to determining that the computing device contain transition probabilities for the received respective geolocation; selecting transition probabilities applicable to the received respective geolocation from among the subset of transition probabilities assigned to the selected computing device; predicting a subsequent geographic place based on the selected transition probabilities.