Pattern-enabled data entry and search
    1.
    发明授权
    Pattern-enabled data entry and search 有权
    启用模式的数据输入和搜索

    公开(公告)号:US09582519B2

    公开(公告)日:2017-02-28

    申请号:US13967612

    申请日:2013-08-15

    Abstract: In the proposed approach cluster elements (bins) are made available as a keypad in the form of a cluster map. The user directly selects the cluster element (bin) with a mouse, touch or actual keypad. For each of the associated attributes, a cluster map is available that orders the attributes from high-to-low by color or shade intensity. When a cluster element is selected in one cluster map, that same cluster element is also highlighted in other cluster maps. For each of the cluster maps, a value axis is available which shows the value of the parameter for the selected cluster element. In the case of numerical values, the high/low attribute pattern across the cluster maps is easily visible. The selected data objects in the cluster map are displayed in a separate widget.

    Abstract translation: 在所提出的方法中,集群元素(箱)可以以集群映射的形式作为键盘提供。 用户使用鼠标,触摸或实际键盘直接选择群集元素(bin)。 对于每个相关属性,可以使用通过颜色或阴影强度从高到低排列属性的集群映射。 当在一个集群映射中选择一个集群元素时,同一个集群元素也会在其他集群映射中突出显示。 对于每个集群映射,值轴可用,显示所选集群元素的参数值。 在数值的情况下,集群映射中的高/低属性模式很容易看到。 集群映射中选定的数据对象将显示在单独的窗口小部件中。

    Interactive 3D Experiences on the Basis of Data
    2.
    发明申请
    Interactive 3D Experiences on the Basis of Data 审中-公开
    基于数据的交互式3D体验

    公开(公告)号:US20160179992A1

    公开(公告)日:2016-06-23

    申请号:US14574843

    申请日:2014-12-18

    CPC classification number: G06F17/5009 G06F17/10 G06F17/50

    Abstract: Embodiments provide methods and systems for constructing surrogate models for use in interactive experiences. One such embodiment begins by defining a model that includes a parametric state vector and a design variable vector and represents a real world system. Next, a first and second experiment are performed to determine a response over time of the parametric state vector and to produce a dataset of the parametric state vector and the design variable vector as a function of time. The dataset is then modified with one or more derivatives of the parametric state vector and a set of surrogate differential equations is constructed that approximates a higher derivative of the parametric state vector relative to that in the dataset and the set of surrogate differential equations is stored as a surrogate model. The surrogate model is in turn provided from memory in a manner accelerating simulated behavior in response to user-interaction with the model.

    Abstract translation: 实施例提供了用于构建用于交互式体验的代理模型的方法和系统。 一个这样的实施例开始于定义包括参数状态向量和设计变量向量并且表示真实世界系统的模型。 接下来,执行第一和第二实验以确定参数状态向量随时间的响应,并且产生作为时间的函数的参数状态向量和设计变量向量的数据集。 然后用参数状态向量的一个或多个导数修改数据集,并构造一组代数微分方程,其相对于数据集中的参数状态向量近似于参数状态向量的较高导数,并且替代微分方程组被存储为 代理模式。 替代模型又从内存中以加速模拟行为的方式响应于与模型的用户交互而提供。

    Pattern-enabled data entry and search

    公开(公告)号:US10229179B2

    公开(公告)日:2019-03-12

    申请号:US15377285

    申请日:2016-12-13

    Abstract: In the proposed approach cluster elements (bins) are made available as a keypad in the form of a cluster map. The user directly selects the cluster element (bin) with a mouse, touch or actual keypad. For each of the associated attributes, a cluster map is available that orders the attributes from high-to-low by color or shade intensity. When a cluster element is selected in one cluster map, that same cluster element is also highlighted in other cluster maps. For each of the cluster maps, a value axis is available which shows the value of the parameter for the selected cluster element. In the case of numerical values, the high/low attribute pattern across the cluster maps is easily visible. The selected data objects in the cluster map are displayed in a separate widget.

    PATTERN-ENABLED DATA ENTRY AND SEARCH
    4.
    发明申请

    公开(公告)号:US20170091297A1

    公开(公告)日:2017-03-30

    申请号:US15377285

    申请日:2016-12-13

    Abstract: In the proposed approach cluster elements (bins) are made available as a keypad in the form of a cluster map. The user directly selects the cluster element (bin) with a mouse, touch or actual keypad. For each of the associated attributes, a cluster map is available that orders the attributes from high-to-low by color or shade intensity. When a cluster element is selected in one cluster map, that same cluster element is also highlighted in other cluster maps. For each of the cluster maps, a value axis is available which shows the value of the parameter for the selected cluster element. In the case of numerical values, the high/low attribute pattern across the cluster maps is easily visible. The selected data objects in the cluster map are displayed in a separate widget.

Patent Agency Ranking