ARTIFICIAL INTELLIGENCE BASED TEMPERATURE MEASUREMENT IN MIXED FLUID CHAMBER

    公开(公告)号:US20210012863A1

    公开(公告)日:2021-01-14

    申请号:US16923877

    申请日:2020-07-08

    Abstract: Temperature measurement is an important part of many potential applications in process industry. Conventional temperature measurement methods require manual intervention for process monitoring and fail to provide accurate and precise measurement of temperature of an enclosed mixed fluid chamber. The present disclosure provides artificial intelligence based temperature measurement in mixed fluid chamber. A plurality of inputs pertaining to the mixed fluid chamber are received to build a fluid based model. The fluid based model is used to generate one or more fluid parameters. The one or more fluid parameters are used along with a ground truth temperature data and the received plurality of inputs for training an artificial intelligence (AI) based model. However, the AI based model is trained with and without knowledge of fluid flow. The trained AI based model is further used to accurately estimate temperature of the mixed fluid chamber for a plurality of test input data.

    EVALUATING ONSCREEN KEYBOARD
    12.
    发明申请
    EVALUATING ONSCREEN KEYBOARD 有权
    评估ONSCREEN键盘

    公开(公告)号:US20140375567A1

    公开(公告)日:2014-12-25

    申请号:US14312100

    申请日:2014-06-23

    CPC classification number: G06F3/02 A63F13/00 G06F11/3438

    Abstract: Disclosed are methods and systems for evaluating onscreen keyboards. The method comprises receiving a first set of parameters and a second set of parameter associated with a first onscreen keyboard and a second onscreen keyboard, respectively. The method further comprises determining a first cognitive score for the first onscreen keyboard using the first set of parameters. The method further comprises determining a second cognitive score for the second onscreen keyboard using the second set of parameters. The method further comprises validating the first cognitive score and the second cognitive score using an Electroencephalography (EEG) signal of the user. The EEG signal of the user is captured while the user is using the first onscreen keyboard and the second onscreen keyboard.

    Abstract translation: 公开了用于评估屏幕键盘的方法和系统。 该方法包括分别接收与第一屏幕键盘和第二屏幕键盘相关联的第一组参数和第二组参数。 该方法还包括使用第一组参数来确定第一屏幕键盘的第一认知评分。 该方法还包括使用第二组参数确定第二屏幕键盘的第二认知评分。 该方法还包括使用用户的脑电图(EEG)信号验证第一认知评分和第二认知评分。 用户在使用第一屏幕键盘和第二屏幕键盘时捕获用户的EEG信号。

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