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    • 2. 发明授权
    • Mobile computing devices, architecture and user interfaces based on dynamic direction information
    • 基于动态方向信息的移动计算设备,架构和用户界面
    • US08700302B2
    • 2014-04-15
    • US12536889
    • 2009-08-06
    • Moe KhosravyLev NovikDarryl E. Rubin
    • Moe KhosravyLev NovikDarryl E. Rubin
    • G01C21/00G06F3/12
    • G01C21/3679G01C21/20H04L67/18H04W4/02
    • Mobile endpoints are provided that enable direction based pointing services including a positional component for receiving positional information as a function of a location of the portable electronic device, a directional component that outputs direction information as a function of an orientation of the portable electronic device and a location based engine that processes the positional information and the direction information to determine a subset of points of interest relative to the portable electronic device as a function of at least the positional information and the direction information. Devices can include compass(es), e.g., magnetic or gyroscopic, to determine a direction and GPS systems for determining location. A component for determining acceleration can also optionally be included.
    • 提供了移动端点,其实现基于方向的指向服务,包括用于接收作为便携式电子设备的位置的函数的位置信息的位置组件;输出作为便携式电子设备的取向的函数的方向信息的方向分量;以及 基于位置的引擎,其处理所述位置信息和所述方向信息,以便根据至少所述位置信息和所述方向信息来确定相对于所述便携式电子设备的兴趣点的子集。 设备可以包括罗盘,例如磁性或陀螺仪,以确定用于确定位置的方向和GPS系统。 还可以包括用于确定加速度的部件。
    • 4. 发明授权
    • Presaging and surfacing interactivity within data visualizations
    • 数据可视化中的预览和表面交互
    • US09330503B2
    • 2016-05-03
    • US12488213
    • 2009-06-19
    • Vijay MitalDarryl E. RubinJason A. WolfJohn A. PayneDavid G. Green
    • Vijay MitalDarryl E. RubinJason A. WolfJohn A. PayneDavid G. Green
    • G06F3/048G06T19/20G06F3/0481
    • G06T19/20G06F3/04815
    • The use of visual cues associated with rendered visual items to cue a user on whether a rendered visual item has interactive capability and/or what type of interaction is possible with that visual item. The visual items may be rendered in a data driven way with each constructed using a corresponding parameterized view component. The parameter(s) are populated by data, perhaps by model variables obtained from an analytical model. The parameters then drive logic associated with the view component to thereby construct a visual item which may then be rendered. The rendering engine then renders the visual item with the visual cue. The user may then interact with the rendered visual item. Such interaction might cause some external action to occur, might change which visual items are displayed, and/or might change a value of the input parameters of one or more view components used to generate displayed visual items.
    • 使用与呈现的视觉项目相关联的视觉提示来向用户提示呈现的可视项目是否具有交互能力和/或与该视觉项目有可能的什么类型的交互。 可视化项目可以以数据驱动的方式呈现,每个构造使用相应的参数化视图组件。 参数可以由数据填充,也许是通过从分析模型获得的模型变量。 参数然后驱动与视图组件相关联的逻辑,从而构建可以呈现的视觉项目。 然后渲染引擎使用视觉提示呈现视觉项目。 用户然后可以与呈现的视觉项目进行交互。 这种交互可能导致发生一些外部动作,可能会改变显示哪些视觉项目,和/或可能会更改用于生成显示的视觉项目的一个或多个视图组件的输入参数的值。
    • 5. 发明授权
    • Implicit iteration of keyed array symbol
    • 键控数组符号的隐式迭代
    • US08453114B2
    • 2013-05-28
    • US12344216
    • 2008-12-24
    • Brian C. BeckmanVijay MitalDarryl E. Rubin
    • Brian C. BeckmanVijay MitalDarryl E. Rubin
    • G06F9/44
    • G06F17/30333G06F9/44G06F17/30958
    • The use of a data structure that is a symbolic representation of a keyed array that has an array variable and an associated key variable. There is a correlation maintained between the variable type of the array variable and the corresponding keying set that is to be bound to the associated key variable. The keyed array may remain unbound thereby being simply symbolically represented, or the keying set may be bound to the key variable more immediately. In one embodiment, once the keying set is bound to the key variable, data may be bound to the array variable itself. This may be repeated for multiple keyed arrays. The data from multiple keyed arrays may be operated upon to about another array of values, which may then be aggregated in some way.
    • 使用数据结构,它是具有数组变量和关联键变量的键控数组的符号表示。 在数组变量的变量类型和要绑定到关联的键变量的对应的键集之间存在相关性。 键控阵列可以保持未绑定,从而被简单地象征性地表示,或者密钥集可以更加紧密地绑定到密钥变量。 在一个实施例中,一旦密钥集合被绑定到密钥变量,数据可以被绑定到数组变量本身。 对于多个键控阵列可能会重复。 来自多个键控阵列的数据可以被操作在大约另一数值阵列上,然后可以以某种方式聚合。
    • 8. 发明授权
    • Use of taxonomized analytics reference model
    • 使用分类分析参考模型
    • US08155931B2
    • 2012-04-10
    • US12324462
    • 2008-11-26
    • Darryl E. RubinVijay MitalDavid G. Green
    • Darryl E. RubinVijay MitalDavid G. Green
    • G06F17/50G06F9/445G06N5/00
    • G06F8/10
    • The composition of a data-driven analytics model that includes at least an analytical modeling component that defines analytical relationships between the model parameters using multiple analytical relations. The analytical modeling component uses the analytical relations to identify which of the model parameters are known and which are unknown, and solves for the identified unknown model parameter(s). The analytics modeling component also includes an analytics taxonomy in which the analytical relations are categorized into related analytics categories. Navigation through the analytics taxonomy assists in the composition of an analytics model. The analytics taxonomy may, but need not, be domain specific.
    • 数据驱动分析模型的组成,至少包括一个使用多个分析关系定义模型参数之间分析关系的分析建模组件。 分析建模组件使用分析关系来识别哪些模型参数是已知的,哪些是未知的,并且解决所识别的未知模型参数。 分析建模组件还包括分析关系分类到相关分析类别的分析分类。 通过分析分类法进行导航有助于分析模型的组合。 分析分类可能但不一定是域特定的。
    • 10. 发明申请
    • USE OF TAXONOMIZED ANALYTICS REFERENCE MODEL
    • 使用分子量分析参考模型
    • US20100131254A1
    • 2010-05-27
    • US12324462
    • 2008-11-26
    • Darryl E. RubinVijay MitalDavid G. Green
    • Darryl E. RubinVijay MitalDavid G. Green
    • G06G7/48G06F17/50
    • G06F8/10
    • The composition of a data-driven analytics model that includes at least an analytical modeling component that defines analytical relationships between the model parameters using multiple analytical relations. The analytical modeling component uses the analytical relations to identify which of the model parameters are known and which are unknown, and solves for the identified unknown model parameter(s). The analytics modeling component also includes an analytics taxonomy in which the analytical relations are categorized into related analytics categories. Navigation through the analytics taxonomy assists in the composition of an analytics model. The analytics taxonomy may, but need not, be domain specific.
    • 数据驱动分析模型的组成,至少包括一个使用多个分析关系定义模型参数之间分析关系的分析建模组件。 分析建模组件使用分析关系来识别哪些模型参数是已知的,哪些是未知的,并且解决所识别的未知模型参数。 分析建模组件还包括分析关系分类到相关分析类别的分析分类。 通过分析分类法进行导航有助于分析模型的组合。 分析分类可能但不一定是域特定的。