Use method of gravity double-tube microwave-assisted grinding device capable of controlling ore thickness

    公开(公告)号:US12109572B2

    公开(公告)日:2024-10-08

    申请号:US17792592

    申请日:2020-05-21

    CPC classification number: B02C19/186 B02C23/02

    Abstract: Provided is a use method of a gravity double-tube microwave-assisted grinding device capable of controlling ore thickness. The method comprises the following steps: step 1, estimating a metal mineral content of ores; step 2, calculating a penetration depth of the ores, step 3, determining a feeding size; step 4, determining a material thickness; step 5, determining a discharging speed Vp0; step 6, determining whether the gravity double-tube microwave-assisted grinding device capable of controlling ore thickness adopts a single-tube structure or a double-tube structure; and step 7, conveying the ores, performing heating, optimizing material parameters of the ores, and optimizing microwave parameters. By determining the feeding size of the ores and the material thickness, whether the gravity double-tube microwave-assisted grinding device capable of controlling ore thickness adopts the single-tube structure or the double-tube structure is determined, and the assisted grinding efficiency of a microwave equipment on the ores is improved.

    ULTRA-LARGE PHYSICAL SIMULATION FACILITY FOR DEEP ENGINEERING DISASTERS

    公开(公告)号:US20240319047A1

    公开(公告)日:2024-09-26

    申请号:US18028352

    申请日:2023-02-08

    CPC classification number: G01M99/005 E21F17/00

    Abstract: Provided is an ultra-large physical simulation facility for deep engineering disasters, including a long-time large-load loading system for a geological model, a 3D printing system of a deep oil, gas and water multiphase multi-component complex geological body model, a high-temperature-chemical-multiphase fluid collaborative injection, monitoring and control system, a robot excavation and monitoring system for a complex engineering structure in a model under deep geological environment, an intelligent ventilation system for a deep metal mine complex drilling, mining and transferring network, an intelligent filling system for a deep metal mine ultra-large stope, a deep-well enhanced geothermal safe intelligent mining system, an all-spatial-temporal intelligent high-precision monitoring system for an excavation and fracture process of a large-scale geological model, and an ultra-large multi-task intelligent collaborative main control and digital twin system for physical simulation tests.

    System and method for generating image landmarks

    公开(公告)号:US12062249B2

    公开(公告)日:2024-08-13

    申请号:US17045902

    申请日:2019-05-02

    Inventor: Yun Fu Bin Sun

    Abstract: A system, neural network, and corresponding method generate 3D landmarks associated with an object in a 2D image. An embodiment is a system comprising a neural network detector configured to produce planar coordinates of landmarks at points of the object in the 2D image and a depth coordinate estimator. The planar coordinates include planar coordinate pairs. The depth coordinate estimator is configured to receive the 2D image and the planar coordinates and to estimate a depth coordinate for each planar coordinate pair of each landmark to generate the 3D landmarks. The system reduces network parameters from MB to KB and has better performance relative to state-of-the-art methods. The system may be configured to apply the 3D landmarks for face alignment, virtual face makeup, face recognition, eye gaze tracking, face synthesis, or other face related application.

    System and Method for Validating a Black-box Model

    公开(公告)号:US20240249039A1

    公开(公告)日:2024-07-25

    申请号:US18421910

    申请日:2024-01-24

    Inventor: Yun Fu Zaid Khan

    CPC classification number: G06F30/20

    Abstract: A computer-based system and corresponding computer-implemented method for validating a black-box model are provided. An initial question is transformed into at least one additional question by rephrasing the initial question based on an initial answer from the black-box model to the initial question. A consistency metric is produced based on consistency of the initial answer and respective additional answers received from the black-box model in response to the at least one additional question. The black-box model is validated based on the consistency metric produced.

    Miniaturized Proteomic Sample Preparation
    28.
    发明公开

    公开(公告)号:US20240201200A1

    公开(公告)日:2024-06-20

    申请号:US18556655

    申请日:2022-04-22

    Abstract: The disclosure provides methods of forming one or more single-cell proteomic samples, such as by: dispensing n droplets of lysis buffer onto a substantially planar solid surface, wherein n>2: dispensing a single cell into each of the n droplets of lysis buffer to produce n droplets with a lysed single cell: dispensing digestion buffer into each of the n droplets to digest proteins from each lysed single cell to produce n droplets comprising peptides: dispensing a chemical tag into at least a subset of the n droplets comprising the peptides to produce labeled peptides, thereby enabling the labeled peptides in a given droplet to be distinguishable from labeled peptides in at least one other droplet: and applying a fluid to merge at least a subset of the droplets into a combined droplet on the substantially planar surface, thereby combining the labeled peptides to form a single-cell proteomic sample.

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