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    • 42. 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。
    • 45. 发明申请
    • ADAPTIVE DISTRIBUTION OF THE PROCESSING OF HIGHLY INTERACTIVE APPLICATIONS
    • 高度互动应用程序的自适应分配
    • US20110246549A1
    • 2011-10-06
    • US12752961
    • 2010-04-01
    • Gary Shon KatzenbergerVijay MitalOlivier ColleBrian C. BeckmanDarryl Ellis Rubin
    • Gary Shon KatzenbergerVijay MitalOlivier ColleBrian C. BeckmanDarryl Ellis Rubin
    • G06F15/16
    • G06F9/505
    • An application defined by expressions whose execution may be dynamically distributed over multiple devices. An application defined by expressions may include a number of expressions that provide a symbolic representation of computations to be performed. The application defined by expressions may have input variables and output variables and provide a solution for the output variables using the input variables and the expressions that define the application. In providing a solution for the output variables, an expression engine may determine dependencies for the expressions to be solved and distribute the solution of some of those expressions dynamically at runtime to other devices based on the capabilities of the devices, privacy and security concerns, communications bandwidth and latency, the resources available to devices, and commercial or cost implications of where the processing is done.
    • 由表达式定义的应用程序,其执行可以在多个设备上动态分布。 由表达式定义的应用可以包括提供要执行的计算的符号表示的多个表达式。 由表达式定义的应用程序可能具有输入变量和输出变量,并使用输入变量和定义应用程序的表达式为输出变量提供解决方案。 在为输出变量提供解决方案时,表达式引擎可以确定要解决的表达式的依赖性,并且基于设备的能力,隐私和安全性关注,通信,将运行时动态地将某些表达式的解释分布到其他设备 带宽和延迟,设备可用的资源以及处理完成的商业或成本影响。
    • 48. 发明授权
    • Assisted filtering of multi-dimensional data
    • 辅助过滤多维数据
    • US08965907B2
    • 2015-02-24
    • US12819493
    • 2010-06-21
    • Vijay MitalBrian C. BeckmanJason A. WolfJanine CrumbDarryl Ellis RubinOlivier Colle
    • Vijay MitalBrian C. BeckmanJason A. WolfJanine CrumbDarryl Ellis RubinOlivier Colle
    • G06F17/00G06F17/30
    • G06F17/30592G06F17/30489G06F17/30572
    • Interactive and dynamic exploring of filter criteria for large amounts of numerical data having multiple dimensions is described. Exploration occurs without excessive amounts of computation or querying of a database based on a data set summary that may be obtained from a server in a search system and applied by a client device. A data set is summarized so as to capture relationships between distributions of items in the data set along multiple dimensions. To explore filter criteria, a user may interactively adjust a range of values that act as a filter criteria along a dimension and determine an effect on a distribution of items along another dimension. The client device may apply the data summary in reverse to determine, based on user input specifying aspects of a distribution along one dimension, filter criteria for another dimension that would result in the specified distribution.
    • 描述了具有多个维度的大量数值数据的过滤器标准的交互和动态探索。 基于可以从搜索系统中的服务器获得并由客户端设备应用的数据集摘要,发现没有过多的计算或查询数据库的探索。 总结数据集,以便捕获沿着多维的数据集中的项目的分布之间的关系。 为了探索过滤标准,用户可以交互地调整一系列值,这些值作为沿尺寸的过滤标准,并确定对另一维的物品分布的影响。 客户端设备可以相反地应用数据摘要,以基于指定沿着一个维度的分布的方面的用户输入来确定导致指定分布的另一个维度的过滤标准。