CONTROL OF FLOW NETWORKS
    41.
    发明申请
    CONTROL OF FLOW NETWORKS 有权
    流量网络控制

    公开(公告)号:US20160054713A1

    公开(公告)日:2016-02-25

    申请号:US14780882

    申请日:2014-04-17

    CPC classification number: G05B13/041 E21B41/00 E21B43/00 E21B43/34

    Abstract: A method for control of a flow network in order to improve the performance of the flow network comprises: (a) applying predetermined excitations at multiple control points within the flow network, wherein the multiple control points are at different branches of the flow network; (b) receiving measurements of changes in one or more flow parameter(s) in one or more flow path(s) in which flows of more than one of the different branches have been combined; (c) carrying out an analysis of the flow parameter measurements to identify variations induced by the applied excitations; (d) determining an adjustment to be made at one or more of the control point(s) in order to improve the performance of the flow network, for example by building and solving an optimisation model; (e) making the determined adjustment to the control point(s) of the flow network or making an alternative adjustment decided upon by the flow network operator; and (f) repeating steps (a) to (e) one or more times to thereby iteratively improve the performance of the flow network.

    Abstract translation: 为了提高流网络的性能,控制流网络的方法包括:(a)在流网络内的多个控制点处应用预定的激励,其中多个控制点在流网络的不同分支处; (b)接收在一个或多个流路中的一个或多个流动参数的变化的测量,其中已经组合了多于一个不同分支的流; (c)对流量参数测量进行分析以识别由所施加的激励引起的变化; (d)确定在所述控制点的一个或多个处进行的调整,以便例如通过构建和求解优化模型来改善所述流网络的性能; (e)对流网络的控制点进行确定的调整或由流网络运营商确定的替代调整; 和(f)重复步骤(a)至(e)一次或多次,从而迭代地提高流网络的性能。

    Oligo-guluronate and galacturonate compositions
    42.
    发明授权
    Oligo-guluronate and galacturonate compositions 有权
    寡糖醛酸糖苷和半乳糖醛酸组合物

    公开(公告)号:US08841279B2

    公开(公告)日:2014-09-23

    申请号:US12595818

    申请日:2008-04-11

    CPC classification number: A61K45/06 A61K31/715 A61K2300/00

    Abstract: The invention provides a pharmaceutical composition comprising a macromolecular drug and an oligoguluronate or oligogalacturonate, e.g., having a number average degree of polymerization in the range 5 to 18, a guluronate (or galacturonate) fraction (FG) of at least 0.80, a mannuronate fraction (FM) of no more than 0.20, and having at least 95% mole with a degree of polymerization less than 20. The composition may be used in a method of treatment which comprises administering the composition to a mucosal surface in a human or non-human vertebrate subject.

    Abstract translation: 本发明提供了一种药物组合物,其包含高分子药物和低聚乳糖醛酸糖或寡聚半乳糖醛酸酯,例如数均聚合度在5至18范围内,古洛糖酸(或半乳糖醛酸)部分(FG)至少为0.80,甘露糖酸盐部分 (FM)不超过0.20,并且具有至少95%摩尔的聚合度小于20.该组合物可用于治疗方法,其包括将组合物施用于人或非细胞的粘膜表面, 人类脊椎动物受试者。

    PROFILING SYSTEM AND METHODS
    44.
    发明申请

    公开(公告)号:US20240403057A1

    公开(公告)日:2024-12-05

    申请号:US18733006

    申请日:2024-06-04

    Abstract: A processing system has a processor and profiling circuitry. The processor is configured to commit instructions in a program order, and comprises circuitry for determining and storing performance-event data for each instruction committed by the processor. The performance-event data for each instruction indicates whether the instruction experiences any of a predetermined set of one or more performance events. The profiling circuitry generates sample data at intervals, and writes the sample data to a sample register or memory. The sample data generated at each interval identifies one or more instructions that are next-to-be committed by the processor or one or more instructions that were last committed by the processor, and comprises the respective performance-event data for each of the identified instructions.

    FAULT DETECTION IN SYNCHRONOUS MACHINES

    公开(公告)号:US20240369634A1

    公开(公告)日:2024-11-07

    申请号:US17754840

    申请日:2020-10-04

    Abstract: A method of fault detection in synchronous machines includes using at least one sensor to determine parameters linked to the magnetic field generated within the synchronous machine including parameters based on one or more of magnetic field strength, rotor current or voltage, stator current or voltage, and vibration. The sensor measurements are processed to identify data artefacts linked to the magnetic field, wherein the processing includes one or more signal processing techniques based on time, frequency, and both time and frequency. Subsequently, the output of the signal processing is analysed in order to identify and categorise irregularities in the magnetic field that are indicative of a fault in the synchronous machine. The analysing step includes recognising patterns in the processed sensor measurements, via use of computer aided pattern recognition techniques such as via machine learning algorithms.

    Optical Sensing Apparatus
    48.
    发明申请

    公开(公告)号:US20230134264A1

    公开(公告)日:2023-05-04

    申请号:US17912327

    申请日:2021-03-18

    Abstract: An optical sensing apparatus is provided comprising: an input interface for receiving input light into the optical sensing apparatus; an input waveguide and a reference waveguide, both arranged to receive input light from the input interface; a closed loop resonator, wherein the input waveguide is optically coupled to the closed loop resonator at an input point for introducing input light to the closed loop resonator; a sample region, adjacent the closed loop resonator, for receiving a sample such that evanescent coupling can occur between light in the closed loop resonator and the sample; a drop-port waveguide, optically coupled to the closed loop resonator at a drop point for receiving dropped light from the closed loop resonator; an output waveguide; and an output interface. The reference waveguide and the drop-port waveguide are arranged to direct interfering light through the output waveguide to produce an output signal at the output interface.

    Detection of manipulated images
    50.
    发明授权

    公开(公告)号:US11450152B2

    公开(公告)日:2022-09-20

    申请号:US16625951

    申请日:2018-06-29

    Abstract: An apparatus for detecting morphed or averaged images, wherein the morphed or averaged images are synthetically generated images including information from two or more different source images corresponding to two or more subjects. The apparatus may include a feature extraction module for receiving an input image and outputting a set of descriptor feature(s) characteristic of the image and a classifier module configured to allocate the input image either to a first class indicating that the image has been morphed or averaged or a second class indicating that it has not been morphed or averaged, based on the descriptor feature(s). The feature extraction module may include a plurality of neural networks providing complementary descriptor feature(s) to the classifier module. The apparatus further may include a fusion module for combining descriptor feature data from each neural network and transmitting the fused feature data to the classifier module.

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