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    • 23. 发明申请
    • BUTTON ASSEMBLY FOR REFRIGERATOR
    • 用于制冷器的按钮组件
    • US20110016901A1
    • 2011-01-27
    • US12934210
    • 2008-12-22
    • Do-Hyung KimChang-Bong Choi
    • Do-Hyung KimChang-Bong Choi
    • F25D27/00F25D11/00
    • F25D29/005F25C2400/10
    • A button assembly for a refrigerator comprises: a case having a cooling chamber, and a door for opening or closing the cooling chamber; a cover mounted to one side of the case, and provided with a plurality of button insertion openings; a substrate fixed to an inner side of the cover, and provided with a plurality of switch buttons; elastic supporters inserted into the button insertion openings of the cover, and covering the switch buttons of the substrate; and button pads coupled to the elastic supporters, and elastically supported by an elastic force of the elastic supporters when pressed by a user, for switching on/off the switch buttons. The button assembly prevents humid air from being introduced thereinto, and simplifies the components to enhance the reliability and productivity. The button assembly enhances appearance around the buttons.
    • 一种用于冰箱的按钮组件,包括:具有冷却室的壳体和用于打开或关闭冷却室的门; 安装在所述壳体的一侧的盖,并且设置有多个按钮插入口; 固定在所述盖的内侧的基板,具有多个开关按钮; 弹性支撑体插入到盖的按钮插入口中,并覆盖基板的开关按钮; 和按钮垫,其连接到弹性支撑件上,并且当被用户按压时由弹性支撑件的弹力弹性地支撑,用于打开/关闭开关按钮。 按钮组件防止湿空气被引入其中,并且简化部件以提高可靠性和生产率。 按钮组件增强了按钮周围的外观。
    • 29. 发明申请
    • FACE RECOGNITION SYSTEM AND METHOD BASED ON ADAPTIVE LEARNING
    • 基于自适应学习的面部识别系统和方法
    • US20080273766A1
    • 2008-11-06
    • US12115250
    • 2008-05-05
    • Hyun-Soo KimJe-Han YoonHyun-Sik ShimYoung-Hee ParkDo-Hyung KimWoo-Han Yun
    • Hyun-Soo KimJe-Han YoonHyun-Sik ShimYoung-Hee ParkDo-Hyung KimWoo-Han Yun
    • G06K9/00
    • G06K9/00295
    • A face recognition system based on adaptive learning includes a specific person detection and tracking unit for detecting and tracking a specific person from a moving image. A facial feature extraction unit extracts a plurality of facial feature vectors from the detected and tracked specific person. A face recognition unit searches for a given registration model by comparing the extracted facial feature vectors with facial feature vectors of the registration models previously stored in a user registration model database. A learning target selection unit selects a facial feature vector to be added to a record of the given registration model from among the extracted facial feature vectors. A registration model learning unit adds and updates the selected facial feature vector to the record of the given registration model.
    • 基于自适应学习的面部识别系统包括用于从运动图像中检测和跟踪特定人物的特定人物检测和跟踪单元。 面部特征提取单元从检测到和跟踪的特定人物中提取多个面部特征向量。 面部识别单元通过将提取的面部特征向量与先前存储在用户登记模型数据库中的登记模型的面部特征向量进行比较来搜索给定的登记模型。 学习目标选择单元从所提取的面部特征向量中选择要添加到给定登记模型的记录的面部特征向量。 注册模型学习单元将所选择的面部特征向量添加并更新到给定注册模型的记录。