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    • 1. 发明申请
    • Graphical user interface for expression recognition
    • 用于表达式识别的图形用户界面
    • US20060062470A1
    • 2006-03-23
    • US11155784
    • 2005-06-20
    • Wenli ZhuXiaohui HouDongmei ZhangBing SunJiang WuJian Wang
    • Wenli ZhuXiaohui HouDongmei ZhangBing SunJiang WuJian Wang
    • G06K9/18
    • G06K9/222G06K9/00436
    • A mechanism for inputting handwritten mathematical expressions into a computer is described. A user interface includes an input area that receives strokes corresponding to a handwritten mathematical expression, a result display area that displays a mathematical expression recognition result corresponding to the strokes, and a tool area that allows a user to select various tools for operation within the input area and/or the result display area. The mathematical expression recognized result corresponds to a best match to the strokes received from a mathematical expression recognition system. Another interface element allows a user to see the availability of alternative mathematical expression recognition candidates. An additional input feature allows a user to input the mathematical expression recognized result into an application program.
    • 描述了将手写数学表达式输入计算机的机制。 用户接口包括接收与手写数学表达式对应的笔画的输入区域,显示与笔画相对应的数学表达式识别结果的结果显示区域,以及允许用户选择用于在输入内操作的各种工具的工具区域 区域和/或结果显示区域。 识别数学表达式对应于与数学表达式识别系统接收的笔画的最佳匹配。 另一个界面元素允许用户查看替代数学表达式识别候选者的可用性。 额外的输入功能允许用户将表达式识别的结果输入到应用程序中。
    • 4. 发明申请
    • Software feature modeling and recognition
    • 软件特征建模与识别
    • US20080312899A1
    • 2008-12-18
    • US11818596
    • 2007-06-15
    • Yantao LiBing SunShuguang YeGuowei LiuWenli ZhuHaidong ZhangMin WangJian Wang
    • Yantao LiBing SunShuguang YeGuowei LiuWenli ZhuHaidong ZhangMin WangJian Wang
    • G06F9/45G06F3/048
    • G06F11/28
    • Described is a technology by which software program feature usage is located within a sequence of commands collected during program usage sessions. For example, feature generally corresponds to a series of commands, such as copy and paste. A visual modeling component is controlled via drag-and-drop operations to describe a feature model, which is then compiled by a compiler into a finite state machine. Noise models may be used to exclude any command in the sequence that is irrelevant to the feature usage. A recognition process uses the finite state machine to locate program feature usage within the sequence of recorded commands by matching command sub-sequences corresponding to the feature model via the state machine. An analyzer may then use the located matches to provide an analysis report on feature usage.
    • 描述了软件程序特征使用位于在程序使用会话期间收集的一系列命令中的技术。 例如,特征通常对应于一系列命令,例如复制和粘贴。 视觉建模组件通过拖放操作进行控制,以描述特征模型,然后将其由编译器编译成有限状态机。 噪声模型可用于排除序列中与特征使用无关的任何命令。 识别过程使用有限状态机通过状态机匹配与特征模型对应的命令子序列来定位记录命令序列内的节目特征使用。 然后,分析仪可以使用定位的匹配来提供关于特征使用的分析报告。
    • 5. 发明授权
    • Software feature modeling and recognition
    • 软件特征建模与识别
    • US07680645B2
    • 2010-03-16
    • US11818596
    • 2007-06-15
    • Yantao LiBing SunShuguang YeGuowei LiuWenli ZhuHaidong ZhangMin WangJian Wang
    • Yantao LiBing SunShuguang YeGuowei LiuWenli ZhuHaidong ZhangMin WangJian Wang
    • G06F9/45
    • G06F11/28
    • Described is a technology by which software program feature usage is located within a sequence of commands collected during program usage sessions. For example, feature generally corresponds to a series of commands, such as copy and paste. A visual modeling component is controlled via drag-and-drop operations to describe a feature model, which is then compiled by a compiler into a finite state machine. Noise models may be used to exclude any command in the sequence that is irrelevant to the feature usage. A recognition process uses the finite state machine to locate program feature usage within the sequence of recorded commands by matching command sub-sequences corresponding to the feature model via the state machine. An analyzer may then use the located matches to provide an analysis report on feature usage.
    • 描述了软件程序特征使用位于在程序使用会话期间收集的一系列命令中的技术。 例如,特征通常对应于一系列命令,例如复制和粘贴。 视觉建模组件通过拖放操作进行控制,以描述特征模型,然后将其由编译器编译成有限状态机。 噪声模型可用于排除序列中与特征使用无关的任何命令。 识别过程使用有限状态机通过状态机匹配与特征模型对应的命令子序列来定位记录命令序列内的节目特征使用。 然后,分析仪可以使用定位的匹配来提供关于特征使用的分析报告。