METHOD FOR CONTROLLING PRECHARGE TIMING OF MEMORY DEVICE AND APPARATUS THEREOF
    1.
    发明申请
    METHOD FOR CONTROLLING PRECHARGE TIMING OF MEMORY DEVICE AND APPARATUS THEREOF 有权
    用于控制存储器件的预调节时序的方法及其装置

    公开(公告)号:US20070268763A1

    公开(公告)日:2007-11-22

    申请号:US11834136

    申请日:2007-08-06

    Applicant: Jae IM Kang LEE

    Inventor: Jae IM Kang LEE

    CPC classification number: G11C11/406 G11C11/4094 G11C2211/4065

    Abstract: A method for controlling a precharge timing of a memory device is disclosed. The method includes making timing of generation of a signal for determining a precharge timing in a normal operation and a signal for determining a precharge timing in a refresh operation different from each other by making timing of generation of a signal for controlling the normal operation and a signal for controlling the refresh operation different from each other.

    Abstract translation: 公开了一种用于控制存储器件的预充电定时的方法。 该方法包括:通过产生用于控制正常操作的信号的定时,产生用于确定正常操作中的预充电定时的信号的定时和用于确定彼此不同的刷新操作中的预充电定时的信号,以及 用于控制刷新操作的信号彼此不同。

    METHOD AND APPARATUS FOR VEHICLE DRIVING GUIDE
    2.
    发明申请
    METHOD AND APPARATUS FOR VEHICLE DRIVING GUIDE 有权
    车辆驾驶指南的方法和装置

    公开(公告)号:US20100156668A1

    公开(公告)日:2010-06-24

    申请号:US12360546

    申请日:2009-01-27

    Applicant: Kang LEE

    Inventor: Kang LEE

    Abstract: A method and an apparatus for vehicle driving guide with lamps are applied to a target road. The apparatus has a traffic condition detection module, multiple indication lamps and a signal control module. The traffic condition detection module obtains a traffic condition. The indication lamps are mounted separately on the target road. The signal control module is electrically connected to the traffic condition detection module and the indication lamps and operates the indication lamps according to a control process based on different traffic conditions. The control process may be in a chase mode that sequentially pulses the indication lamps on with a regulated moving direction of the target road with a pulse interval between turning the indication lamps on to present an impression that the lights are moving at an indicator speed. The impression allows drivers in vehicles on the target road to follow to drive.

    Abstract translation: 将具有灯的车辆驾驶引导件的方法和装置应用于目标道路。 该装置具有交通状况检测模块,多个指示灯和信号控制模块。 交通状况检测模块获取交通状况。 指示灯分别安装在目标道路上。 信号控制模块电连接到交通状况检测模块和指示灯,并根据不同的交通状况根据控制过程操作指示灯。 控制过程可以是追逐模式,其以指示灯开启之间的脉冲间隔以目标道路的调节移动方向顺序地脉冲显示灯,以呈现灯以指示器速度移动的印象。 该印象允许目标道路上的车辆驾驶员驾驶。

    APPARATUS AND METHOD FOR DETECTING ARCS
    3.
    发明申请
    APPARATUS AND METHOD FOR DETECTING ARCS 失效
    用于检测ARCS的装置和方法

    公开(公告)号:US20110040508A1

    公开(公告)日:2011-02-17

    申请号:US12772565

    申请日:2010-05-03

    Abstract: The apparatus for detecting arc occurred in chamber for plasma treatment used for manufacturing semiconductor or LCD panel comprises, a sensor module for sensing the arc; a processor module for processing data from the sensor module; wherein the sensor module includes RGB color sensor for sensing color data of the arc occurred in the chamber, the RGB color sensor is a sensor sensable at least one of red color or green color or blue color of the arc, the apparatus detects the arc by sensing data of color and chroma and brightness of the arc.

    Abstract translation: 在用于制造半导体或LCD面板的等离子体处理室中检测电弧的装置包括:用于感测电弧的传感器模块; 处理器模块,用于处理来自传感器模块的数据; 其中传感器模块包括RGB颜色传感器,用于感测在室中发生的电弧的颜色数据,RGB颜色传感器是可感测到电弧的红色或绿色或蓝色中的至少一种的传感器,该装置通过 感测电弧的颜色和色度和亮度的数据。

    SYSTEM AND METHOD FOR CONCISE ASSESSMENT GENERATION USING MACHINE LEARNING

    公开(公告)号:US20240169218A1

    公开(公告)日:2024-05-23

    申请号:US18552812

    申请日:2022-03-29

    Applicant: Kang LEE

    Inventor: Kang LEE

    CPC classification number: G06N5/022

    Abstract: A system and method for concise assessment generation using machine learning. The method including: receiving an input dataset including completed sample assessments, the sample assessments each include assessment features for determining an output status and an associated likelihood of the output status; selecting a subset of the assessment features by determining which assessment features of the sample assessment weigh more heavily in predicting the output status; predicting, using a machine learning model, a quantity of assessment features required to achieve at least a predetermined classification accuracy of an output of the assessment, the machine learning model trained using the selected subset of assessment features and the weighting of such assessment features; and outputting one or more concise assessments, each concise assessment including the quantity of assessment features and having a classification accuracy of at least the predetermined classification accuracy.

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