Mitigating Subjectively Disturbing Content Through the Use of Context-Based Data Gravity Wells
    22.
    发明申请
    Mitigating Subjectively Disturbing Content Through the Use of Context-Based Data Gravity Wells 有权
    通过使用基于上下文的数据重力井减轻主观扰乱的内容

    公开(公告)号:US20160246884A1

    公开(公告)日:2016-08-25

    申请号:US14627791

    申请日:2015-02-20

    CPC classification number: G06F17/30867 G06F17/2785

    Abstract: A processor-implemented method, system, and/or computer program product mitigate subjectively disturbing content. A context-based data gravity wells membrane supports one or more gravity wells, which hold subjectively disturbing synthetic context-based objects made up of a non-contextual data object, a first context object, and a second context object. The first context object defines the non-contextual data object, and the second context object describes how subjectively disturbing content generated by combining the non-contextual data object and the first context object is according to predefined parameters described by the second context object. New content is passed across the context-based data gravity wells membrane. Subjectively disturbing content from the new content is trapped by the context-based data gravity well in response to a non-contextual data object and context objects from the new content matching those of the context-based data gravity well, thereby reducing a level of subjective discomfort imposed by the new content.

    Abstract translation: 处理器实现的方法,系统和/或计算机程序产品减轻主观上令人不安的内容。 基于上下文的数据重力井膜支持一个或多个重力井,其保持由非上下文数据对象,第一上下文对象和第二上下文对象组成的主观上令人讨厌的合成基于上下文的对象。 第一上下文对象定义非上下文数据对象,并且第二上下文对象描述如何通过组合非上下文数据对象和第一上下文对象而产生的主观干扰内容根据由第二上下文对象描述的预定义参数。 新内容通过基于上下文的数据重力井膜。 响应于非上下文数据对象和来自新内容的上下文对象,基于上下文的数据重力很好地受到来自新内容的主观扰乱的内容的困扰,与基于上下文的数据的重要性很好地匹配,从而降低了主观的 新内容施加的不适感。

    Data processing work allocation
    23.
    发明授权
    Data processing work allocation 有权
    数据处理工作分配

    公开(公告)号:US09372732B2

    公开(公告)日:2016-06-21

    申请号:US14751464

    申请日:2015-06-26

    CPC classification number: G06F9/5027 G06F9/4856 G06F9/5088

    Abstract: A method, system, and/or computer program product allocates computer processing work. One or more processors identify: an input data that is stored in a first computer for processing by a computer program; a virtual machine, stored in a second computer, that is capable of executing the computer program; a first set of constraint rules against moving the input data from the first computer; and a second set of constraint rules against moving the virtual machine from the second computer. The one or more processors assign a weight to each constraint rule, and sum the weight of all constraint rules that are applicable. In response to the first total constraint rule weight exceeding the second total constraint rule weight, movement of the input data from the first computer to the second computer is prohibited and the virtual machine is moved from the second computer to the first computer.

    Abstract translation: 方法,系统和/或计算机程序产品分配计算机处理工作。 一个或多个处理器识别:存储在第一计算机中用于由计算机程序处理的输入数据; 存储在第二计算机中的能够执行计算机程序的虚拟机; 用于从第一计算机移动输入数据的第一组约束规则; 以及针对从第二计算机移动虚拟机的第二组约束规则。 一个或多个处理器为每个约束规则分配权重,并且对适用的所有约束规则的权重进行求和。 响应于超过第二总约束规则权重的第一总约束规则权重,禁止从第一计算机到第二计算机的输入数据的移动,并且虚拟机从第二计算机移动到第一计算机。

    SCOPED SEARCH ENGINE
    24.
    发明申请
    SCOPED SEARCH ENGINE 审中-公开
    SCOPED搜索引擎

    公开(公告)号:US20160140243A1

    公开(公告)日:2016-05-19

    申请号:US14546318

    申请日:2014-11-18

    CPC classification number: G06F16/9024 G06F16/2457 G06F16/35 G06F16/9535

    Abstract: A scoped search engine is disclosed. The scoped search engine includes a memory unit storing reference data records. The scoped search engine also includes a data comparison unit that searches the reference data records using different searches. The scoped search engine further includes a match analysis unit that combines result data from the different searches and determines a scope for a subsequent search based on the combined result data.

    Abstract translation: 公开了范围搜索引擎。 范围搜索引擎包括存储参考数据记录的存储单元。 范围搜索引擎还包括数据比较单元,其使用不同的搜索来搜索参考数据记录。 作用域搜索引擎还包括匹配分析单元,其合并来自不同搜索的结果数据,并且基于组合结果数据确定后续搜索的范围。

    MINIMIZATION OF SURPRISAL CONTEXT DATA THROUGH APPLICATION OF A HIERARCHY OF REFERENCE ARTIFACTS
    25.
    发明申请
    MINIMIZATION OF SURPRISAL CONTEXT DATA THROUGH APPLICATION OF A HIERARCHY OF REFERENCE ARTIFACTS 有权
    通过应用参考文献等级来最小化刺激性上下文的数据

    公开(公告)号:US20140358941A1

    公开(公告)日:2014-12-04

    申请号:US13922625

    申请日:2013-06-20

    CPC classification number: G06F17/30303 G06Q10/063

    Abstract: A method, system, and computer program product for minimizing surprisal context data. The method comprising the steps of: identifying characteristics of a data event; receiving an input of rank of at least two identified characteristics of the data event; the computer generating a hierarchy of ranked, identified characteristics based on the rank of the at least two identified characteristics of the data event; and comparing the hierarchy of ranked, identified characteristics to a repository of reference artifacts arranged in characteristic context patterns. If at least one reference artifact arranged in characteristic context patterns from the repository matches the hierarchy of ranked, identified characteristics, the characteristic context pattern is stored as a surprisal context filter and compared to a data input of data events to detect anomalous events.

    Abstract translation: 一种用于最小化惊奇上下文数据的方法,系统和计算机程序产品。 该方法包括以下步骤:识别数据事件的特征; 接收数据事件的至少两个识别的特征的等级的输入; 所述计算机基于所述数据事件的所述至少两个识别的特征的等级来生成排名的,识别的特征的层次; 以及将排序的,识别的特征的层级与在特征上下文模式中排列的参考文物的库进行比较。 如果从存储库排列在特征上下文模式中的至少一个参考工件与排序,识别的特征的层次结构匹配,则将特征上下文模式存储为惊奇的上下文过滤器,并与数据事件的数据输入进行比较以检测异常事件。

    Security filter for context-based data gravity wells
    26.
    发明授权
    Security filter for context-based data gravity wells 有权
    基于上下文的数据重力井的安全过滤器

    公开(公告)号:US08856946B2

    公开(公告)日:2014-10-07

    申请号:US13755623

    申请日:2013-01-31

    CPC classification number: H04L63/1408

    Abstract: A processor-implemented method, system, and/or computer program product defines multiple security-enabled context-based data gravity wells on a security-enabled context-based data gravity wells membrane. Non-contextual data objects are associated with context objects to define synthetic context-based objects. The synthetic context-based objects are associated with one or more security objects to generate security-enabled synthetic context-based objects, which are parsed into an n-tuple that includes a pointer to one of the non-contextual data objects, a probability that a non-contextual data object has been associated with a correct context object, probability that the security object has been associated with a correct synthetic context-based object, and a weighting factor of importance of the security-enabled synthetic context-based object. A virtual mass of each parsed security-enabled synthetic context-based object is calculated, in order to define a shape of multiple security-enabled context-based data gravity wells that are created when security-enabled synthetic context-based objects are pulled in.

    Abstract translation: 处理器实现的方法,系统和/或计算机程序产品在基于安全性的基于上下文的数据重力井膜上定义了多个基于安全性的上下文数据重力井。 非上下文数据对象与上下文对象相关联,以定义合成的基于上下文的对象。 合成的基于上下文的对象与一个或多个安全对象相关联,以生成基于安全性的合成基于上下文的对象,所述对象被解析成包括指向非上下文数据对象之一的指针的n元组, 非上下文数据对象已经与正确的上下文对象相关联,安全对象已经与正确的合成基于上下文的对象相关联的概率以及基于安全性的合成基于上下文的对象的重要性的加权因子。 计算每个解析的基于安全性的合成基于上下文的对象的虚拟质量,以便定义在引入基于安全性的基于合成上下文的对象时创建的多个基于安全性的上下文数据重力井的形状。

    Synaptic neural network core based sensor system

    公开(公告)号:US11010660B2

    公开(公告)日:2021-05-18

    申请号:US15817443

    申请日:2017-11-20

    Abstract: A sensor system comprises: an energy storage device electrically coupled to an intermittent energy release device that causes the energy storage device to release stored energy intermittently; a sensor electrically coupled to the energy storage device, where the sensor detects physical events occurring at a physical device and is intermittently powered by electrical energy received from the energy storage device; a synaptic neural network core electrically coupled to the sensor, where the synaptic neural network core converts sensor readings into an object that describes the physical events occurring at the physical device; a transponder electrically coupled to the synaptic neural network core; and a storage buffer within the transponder, where the storage buffer stores the object for transmission from the transponder to a monitoring system, where the intermittent energy release device provides power to the sensor in response to the transponder transmitting the object to the monitoring system.

    INFERRING THE RELATIVE LOCATIONS OF SENSORS IN A SENSOR NETWORK

    公开(公告)号:US20190387057A1

    公开(公告)日:2019-12-19

    申请号:US16008721

    申请日:2018-06-14

    Abstract: A system is provided for inferring sensor topology in a structure. The system includes a receiver, a server communicatively coupled to the receiver and a sensor topology engine communicatively coupled to the receiver and the server. The receiver is configured to receive identification information that sensors have been and deployed throughout the structure to sense a presence of an operator and to receive sensor readings from the sensors and couple the sensor readings to the sensor topology engine. The sensor topology engine is further configured analyze the identification information and the sensor readings to infer zones of the multiple spaces in which the presence of the operator is sensed by at least one of the sensors, borders of each of the zones, and dead zones adjacent to one or more of the zones in which the presence of the operator is not sensed and build a topological graph.

    Measuring and displaying facets in context-based conformed dimensional data gravity wells

    公开(公告)号:US10127303B2

    公开(公告)日:2018-11-13

    申请号:US15190361

    申请日:2016-06-23

    Abstract: A processor-implemented method, system, and/or computer program product measures and displays facets in context-based conformed dimensional data gravity wells. Conformed dimensional objects and synthetic context-based objects are parsed into n-tuples. A virtual mass of each parsed object is calculated, in order to define a shape of multiple context-based conformed dimensional data gravity wells that are created when data objects that are pulled into each of the context-based conformed dimensional data gravity well frameworks on a context-based conformed dimensional gravity wells membrane. Data from the multiple context-based conformed dimensional data gravity wells then populates nodes in a data model. A displayed appearance of the particular context-based conformed dimensional data gravity well is dynamically adjusted according to how many parsed synthetic context-based objects are pulled into the particular context-based conformed dimensional data gravity well.

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