Method and system for X-ray fluorescence (XRF) analysis of exploration samples

    公开(公告)号:US11175246B2

    公开(公告)日:2021-11-16

    申请号:US16314221

    申请日:2017-06-30

    Inventor: Melvyn Lintern

    Abstract: A collector device for determining a metal in an exploration sample containing a concentration of the metal not directly detectable by X-ray fluorescence (XRF), comprises an adsorbent material capable of concentrating metal from a digestion mixture produced by digesting the exploration sample, which is configured for association with an analysis window of the XRF detector to facilitate determination of the amount of metal value in the exploration sample. A sample preparation vessel, method and system used to prepare exploration samples for analysis includes a vessel for receiving the exploration sample, a digestion tablet and a digestion medium; a closure to allow the vessel to be agitated to produce a digestion mixture comprising dissolved metal and the collector device. The closure and the collector device are coupled so that collector device is retrieved from the vessel by removing the closure. The digestion tablet includes a metal lixiviate and an alkali compound.

    Wireless localisation system
    69.
    发明授权

    公开(公告)号:US11061106B2

    公开(公告)日:2021-07-13

    申请号:US16454841

    申请日:2019-06-27

    Abstract: Disclosed is method of computing a round trip delay between a pair of nodes, the method comprising transmitting at least one beacon at a known transmit time from each of the nodes; measuring the times-of-arrival of the beacons at other of the nodes; and estimating a round trip delay between the nodes from the measured times-of-arrival and the transmit times; and correcting the round trip delay for either or both of a frequency offset between the nodes and relative motion between the nodes.

    GENERATING A USER-SPECIFIC USER INTERFACE

    公开(公告)号:US20210208753A1

    公开(公告)日:2021-07-08

    申请号:US16956088

    申请日:2018-12-21

    Abstract: The present disclosure generally relates to generation of a user-specific user interface. Specifically, there is provided a computer implemented method (600) for generating a user-specific user interface (612). The method (600) comprises a learning phase and an execution phase. The learning phase comprising presenting one or more pre-defined tasks to a user, the pre-defined tasks including pre-defined task features (602), capturing user interaction features while the user completes the pre-defined tasks (604), capturing a user decision input indicative of a decision by the user on the one or more pre-defined tasks (606), and creating a user-specific trust model that models the relationship between the pre-defined task features, the user interaction features and the user decision input (608). The Execution phase comprising evaluating the user-specific trust model on current task features (610) and based on evaluating the user-specific trust model on the current task features, selectively including user interface elements into the user interface to thereby generate a user-specific user interface (612).

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