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    • 51. 发明申请
    • System and Method For Big Data Geographic Information System Discovery
    • 大数据地理信息系统发现系统与方法
    • US20160259357A1
    • 2016-09-08
    • US15058385
    • 2016-03-02
    • Leidos, Inc.
    • Joshua Anders WepmanJonathan D. MichelTimothy Leigh CrowellMatthew William Vahlberg
    • G05F1/66G05B15/02G06F17/30
    • G05F1/66G05B15/02G06F16/29
    • A system and method for learning and asserting what portions of a utility GIS network model are incorrect or flawed as they relate to real world conditions, and what the correct real world relationships are in the field is described. The system and method leverage available smart grid data to assess the quality of a primary (GIS) source data set; quality data renders derived analyses across the utility valid, sound, and action worthy. The system and method utilize existing partially correct electrical network distribution model data and various non-specialized source data including smart meter, spatial, and customer information data collected from the network to test, validate and suggest corrections to the connectivity model. By forming putative ground truth assignments between utility components, the system tests the assumptions by examining the geospatial proximity and correlating voltage and event data over time to form refined hypothesis. These hypotheses are compared to the existing model and statistical tests are performed at a variety of confidence levels to propose a corrected network model to the user.
    • 描述了一种用于学习和断言实用GIS网络模型的哪些部分与现实世界条件相关的不正确或缺陷的系统和方法,以及正确的现实世界关系在该领域中的描述。 系统和方法利用可用的智能电网数据来评估主要(GIS)源数据集的质量; 质量数据使整个公用事业的有效,健全和行动得到分析。 该系统和方法利用现有的部分正确的电网分布模型数据和各种非专门的源数据,包括从网络收集的智能电表,空间和客户信息数据,以对连接模型进行测试,验证和建议更正。 通过在公用事业部分之间形成推定的地面真相分配,系统通过检查地理空间接近度以及随时间的相关电压和事件数据来测试假设,以形成精确的假设。 将这些假设与现有模型进行比较,并以各种置信水平执行统计测试,以向用户提出校正的网络模型。
    • 52. 发明授权
    • Method and system for multiple carrier resource allocation in LTE-advanced networks
    • LTE高级网络中多载波资源分配的方法和系统
    • US09414216B1
    • 2016-08-09
    • US14209430
    • 2014-03-13
    • Leidos, Inc.
    • Rebecca K. Harrington
    • H04M11/00H04W4/26
    • H04W28/24H04M15/8044H04M15/805H04M15/8055H04W4/00H04W4/24
    • A process for selecting an optimal individual user solution including an optimal rate allocation and associated price for a predetermined bandwidth of cellular network resources includes application of an iterative process and selection from multiple proposed user solutions. The inputs to the iterative process include at least an initial user bid, an initial network rate allocation, a generated user utility function and the cost data. The user utility function includes multiple application user functions. Optimal solution selection includes comparing each multiple proposed user rate allocation with the initial network rate allocation for the user and selecting the closest multiple proposed user rate allocation to the initial network rate allocation. The process may be applied to aggregated cellular carrier scenarios.
    • 用于选择包括蜂窝网络资源的预定带宽的最优速率分配和相关价格的最佳个体用户解决方案的过程包括迭代过程的应用和来自多个提出的用户解决方案的选择。 迭代过程的输入至少包括初始用户出价,初始网络速率分配,生成的用户效用函数和成本数据。 用户效用函数包括多个应用程序用户功能。 最佳解决方案选择包括将每个多个提出的用户速率分配与用户的初始网络速率分配进行比较,并且选择与最初的网络速率分配最接近的多个提出的用户速率分配。 该过程可以应用于聚合的蜂窝载波场景。