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    专

    可识别HCV E1E2蛋白的核酸适体、核酸适体的衍生物及其筛选方法和应用

    1264116929Y1
    发明人
    朱海珍, 方晓红, 刘斌, 徐丽, 杨大荣, 龙樱, 雷少华
    受让人
    湖南大学
    申请人
    DIEFENTHALER LICHTRAEUME GMBH
    申请号
    202420503558
    申请日
    1990-09-13
    公开(公告)号
    1264116929Y1
    公开(公告)日
    2022-08-31
    IPC分类号
    H02M007/48H02M007/538
    CPC分类号
    -
    优先权号
    10-2006-0105042
    优先权日
    2006-10-26
    摘要

    NOVELTY - The variable guided ultrasonic waves probe apparatus (100) has a connecting cable (120) for supplying air to an air tube connected to body (111) of an ultrasonic wave probe (110). An air tube is included in the inner side of apparatus. The connecting cable is formed in the body surface of the ultrasonic probe and has a traverse direction piezoelectric element.

    USE - Variable guided ultrasonic waves probe apparatus.

    ADVANTAGE - The variable guided ultrasonic waves probe apparatus.

    DESCRIPTION OF DRAWING(S) - The drawing shows a schematic view of a variable guided ultrasonic waves probe apparatus.

    Variable guided ultrasonic waves probe apparatus (100)

    Ultrasonic probe (110)

    Connecting cable (120)

    Controller (130)

    权利要求
    1 . An apparatus for multi-stage hands-free gesture-based user interface processing, comprising: a first sensor and a second camera sensor; a scalable processing subsystem comprising at least a first processor, a second processor, and a power source; and a first non-transitory computer-readable medium comprising a first set of instructions that when executed by the first processor, causes the first processor to: monitor a user for a first user interaction via the first sensor; cause the scalable processing subsystem to determine whether to wake the second processor; and a second non-transitory computer-readable medium comprising a second set of instructions that when executed by the second processor, causes the second processor to: perform gesture-specific processing based on at least a second user interaction captured by the second camera sensor.
    2 . The apparatus of claim 1 , where the second user interaction includes at least a target region-of-interest determined from a user gaze point.
    3 . The apparatus of claim 1 , where the second user interaction includes at least a first gesture region-of-interest determined from a first user hand position.
    4 . The apparatus of claim 3 , where a third user interaction includes at least a second gesture region-of-interest determined from a second hand position.
    5 . The apparatus of claim 1 , where the first sensor comprises an eye-tracking camera and the first user interaction comprises a user gaze fixation.
    6 . The apparatus of claim 1 , where the second processor is awakened from a sleep power state.
    7 . An apparatus for multi-stage hands-free gesture-based user interface processing, comprising: a first sensor and a second camera sensor; a power source; a first processor and a second processor; and a first non-transitory computer-readable medium comprising a first set of instructions that when executed by the first processor, causes the first processor to: monitor a user for a first user interaction via the first sensor; wake the second processor when the first user interaction is detected; and a second non-transitory computer-readable medium comprising a second set of instructions that when executed by the second processor, causes the second processor to: capture one or more images via the second camera sensor; and search for a first region-of-interest within the one or more images.
    8 . The apparatus of claim 7 , where the first sensor comprises an eye-tracking camera sensor; and the first user interaction comprises gaze fixation below a threshold amplitude for at least a threshold duration.
    9 . The apparatus of claim 7 , where the first sensor comprises a forward-facing camera sensor and a machine learning logic trained on one or more user-specific hand positions; and the first user interaction comprises a first user-specific hand position.
    10 . The apparatus of claim 7 , where the first sensor comprises a microphone and a machine learning logic trained on a user-specific voice command; and the first user interaction comprises the user-specific voice command.
    11 . The apparatus of claim 7 , where the one or more images are captured at a binned resolution that is less than a full resolution of the second camera sensor.
    12 . The apparatus of claim 7 , where the first region-of-interest is based on a gaze point.
    13 . The apparatus of claim 12 , where the second set of instructions further causes the second processor to search for a second region-of-interest within the one or more images based on a hand positioning.
    14 . An apparatus for multi-stage hands-free gesture-based user interface processing, comprising: a camera sensor; a power source; a first processor and a second processor; and a first non-transitory computer-readable medium comprising a first set of instructions that when executed by the first processor, causes the first processor to: capture one or more images via the camera sensor; search for a first region-of-interest within the one or more images; wake the second processor when the first region-of-interest is detected; and a second non-transitory computer-readable medium comprising a second set of instructions that when executed by the second processor, causes the second processor to: determine a gesture based on one or more user-specific hand positions; and determine a target based on the first region-of-interest.
    15 . The apparatus of claim 14 , where the one or more images are captured at a binned resolution that is less than a full resolution of the camera sensor.
    16 . The apparatus of claim 14 , where the first region-of-interest is based on a user gaze point that is distinct from the one or more user-specific hand positions.
    17 . The apparatus of claim 16 , where the first set of instructions further causes the first processor to search for a second region-of-interest within the one or more images based on the one or more user-specific hand positions.
    18 . The apparatus of claim 17 , where the first set of instructions further causes the first processor to: crop the one or more images to create a cropped first region-of-interest and a cropped second region-of-interest; and transfer the cropped first region-of-interest and the cropped second region-of-interest to the second processor.
    19 . The apparatus of claim 14 , where the target is determined to be one of a person, a landmark, an object, a landscape, or a vehicle.
    20 . The apparatus of claim 14 , where the first region-of-interest is based on a user gaze point that is indistinct from the one or more user-specific hand positions and the target is determined to be a hand/finger positioning.
    说明书
    [0001]在轴孔上设有衬套的组合刹车蹄块
    [0002]技术领域
    [0003]本发明涉及一种刹车块,尤其是涉及一种在轴孔上设有衬套的组合刹车蹄块。
    [0004]背景技术
    [0005]汽车、摩托车等机动车上的刹车蹄块是关系到行车安全的主要部件,传统的刹车蹄块是采用锌、铝等有色金属经粉末冶金或压铸等方法来制作,这种制作方法的优点是制造方便、简单。但是随着有色金属的材料紧缺、价格上涨,采用传统的材料和方法制造的刹车蹄块的价格也已很高,大大提高了车辆的成本。但是采用钢板制作的组合刹车蹄块也存在一个轴孔生锈的问题。
    [0006]发明内容
    [0007]本发明的目的在于针对上述传统刹车蹄块价格上涨的难题以及钢板制作的组合刹车蹄块的轴孔生锈的缺陷,,提供一种带防锈轴套的组合刹车蹄块。
    [0008]为了达到上述目的,本发明主要是采用了以下技术方案来实现的。本发明由刹车蹄块所组成,所述的刹车蹄块是由若干片用钢板冲压而成的组装片组成,组装片上设有组装孔和轴孔,组装孔内用定位销固定,组装时,将定位销两端铆住。所述的轴孔采用内衬防锈衬套来解决轴孔生锈的缺陷,防锈衬套的两端部设有卷边。防锈轴套的材料采用铜合金、不锈钢或锌合金等。
    [0009]本发明与现有技术相比,具有以下明显优点和创新。(1)设计合理、结构紧密。本发明采用若干片钢材用定位销组装铆合在一起,制成新型刹车蹄块,性能优于传统的刹车片。(2)降低了刹车成本。由于传统的刹车片采用色金属经粉末冶金等工艺制作,在有色金属涨价的情况下,采用钢板替代有色金属,价格成本就占据了优势。(3)在轴孔内衬有防锈轴套,主要是防止轴孔生锈而影响刹车蹄块的功能(4)刹车性能好,使用寿命长。
    [0010]本发明适用于汽车、摩托车、电瓶车及其他机动车辆。
    [0011]下面结合附图和具体实施方式对本发明作进一步详细的描述。
    [0012]附图说明
    [0013]图1为本发明整体结构图。
    [0014]图2为本发明分解示意图。
    [0015]图3为本发明立体示意图。
    [0016]具体实施方式
    [0017]如图1、2所示,本发明由刹车蹄块1所组成,所述的刹车蹄块1是由若干片用钢板冲压而成的组装片5组成,组装片5上设有组装孔6和轴孔2,组装孔6内用定位销7固定,组装时,将定位销7两端铆住。所述的轴孔2采用内衬防锈衬套3来解决轴孔2生锈的缺陷,防锈衬套3的两端部设有卷边4。防锈衬套3的材料采用铜合金、不锈钢或锌合金。
    [0018]本发明适用于汽车、摩托车、电瓶车及其他机动车辆。
    同族专利
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