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    • 2. 发明授权
    • Adhesive tape with visual indicators and associated methods of use
    • 带有视觉指示器和相关使用方法的胶带
    • US08800471B2
    • 2014-08-12
    • US13051809
    • 2011-03-18
    • Sharon QuinnCheryl Grunbock
    • Martin KingSharon Quinn
    • C09J7/02B23B7/12
    • B65H35/0026B65H2515/30B65H2515/60C09J7/22
    • A visual indicator used to indicate a disposition of an end of a tape comprises a colored layer, and one or more layers of elongate polymer elements, or one or more polarizing layers, or one or more dichroic filter layers. When the tape is stretched as a piece is torn or cut away, an orientation of the polymer elements, or a polarization configuration, or a thickness of the dichroic layers is changed, changing a color, opacity, or reflectance visually evident at the end of the tape. In other embodiments, the visual indicator comprises one or more visible lines that run diagonally across the width of the tape, either in successive sections or along the entire length, so that a discontinuity between the line at the end and at an adjacent point on the remainder of the tape indicates the disposition of the end and an approximate amount of tape remaining.
    • 用于指示带的端部的设置的视觉指示器包括着色层,以及一层或多层细长聚合物元件,或一个或多个偏振层,或一个或多个二向色过滤层。 当胶带被撕开或撕开时被拉伸时,聚合物元件的取向或偏振构型或二向色层的厚度发生变化,从而改变颜色,不透明度或反射率, 磁带。 在其他实施例中,视觉指示器包括一条或多条可视线,其以相继的部分或沿着整个长度在对角线上跨越带的宽度延伸,使得在端部的线与相邻点之间的不连续性 磁带的剩余部分表示结束的布置和剩余的胶带的大致数量。
    • 7. 发明授权
    • Feedback system
    • 反馈系统
    • US08812419B1
    • 2014-08-19
    • US13158305
    • 2011-06-10
    • Eric TellerClaes-Fredrik MannbyKevin Anthony FurrCheryl Grunbock
    • Eric TellerMartin T. KingClaes-Fredrik MannbyKevin Anthony Furr
    • G06F17/00
    • G06Q10/10
    • Exemplary methods and systems are disclosed that apply feedback-based machine learning in order to more intelligently use context information to automate certain actions. An exemplary method involves: determining a first context based on a combination of two or more context signals, using a context-to-action mapping to determine a first action that corresponds to the first context, initiating the first action, after initiating the first action, receiving a data signal corresponding to a user-action, analyzing the data signal to determine a feedback relationship between the user-action and the first action, and based at least in part on the feedback relationship, updating the context-to-action mapping.
    • 公开了示例性方法和系统,其应用基于反馈的机器学习,以便更智能地使用上下文信息来自动化某些动作。 一种示例性方法包括:基于两个或更多个上下文信号的组合来确定第一上下文,使用上下文动作映射来确定对应于第一上下文的第一动作,在启动第一动作之后启动第一动作 ,接收对应于用户动作的数据信号,分析数据信号以确定用户动作与第一动作之间的反馈关系,并且至少部分地基于所述反馈关系,更新所述上下文动作映射 。