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41.发明申请SYSTEM AND METHOD FOR DETECTION OF EARTHQUAKES AND TSUNAMIS, AND HIERARCHICAL ANALYSIS, THREAT CLASSIFICATION, AND INTERFACE TO WARNING SYSTEMS 有权用于检测地震和湍流的系统和方法，以及分层分析，威胁分类和与警告系统的接口公开(公告)号：US20080270034A1
公开(公告)日：2008-10-30
申请号：US11741186
申请日：2007-04-27
IPC分类号： G01V1/30
CPC分类号： G01V1/008
摘要： A computer implemented method of producing macro-view conclusion data related to a seismic event. The method includes receiving at a processing center a set of data related to a parameter of a seismic event. The parameter is measured using a vibration sensor of a hard disk drive of a computer at a known, fixed location, wherein the vibration sensor produces the set of data. The method further includes processing the set of data at the processing center to produce the macro-view conclusion data. The macro-view conclusion data is then stored in a storage device.
摘要翻译： 一种生成与地震事件有关的宏观结论数据的计算机实现方法。 该方法包括在处理中心处接收与地震事件的参数相关的一组数据。 使用计算机的硬盘驱动器的振动传感器在已知的固定位置测量参数，其中振动传感器产生该组数据。 该方法还包括在处理中心处理该组数据以产生宏视图结论数据。 然后将宏视图结论数据存储在存储设备中。
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42.发明申请SYSTEM AND METHOD FOR DERIVING A HIERARCHICAL EVENT BASED DATABASE OPTIMIZED FOR ANALYSIS OF COMPLEX ACCIDENTS 有权用于分析复杂事件分析优化的基于分层事件的数据库的系统和方法公开(公告)号：US20080208904A1
公开(公告)日：2008-08-28
申请号：US11679009
申请日：2007-02-26
CPC分类号： G06F17/30536 , G06F2216/03
摘要： A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.
摘要翻译： 一种计算机实现的方法，装置和计算机可用程序代码，用于推断从数据库中不存在关于推断的查询的第一推断的概率。 数据库的每个数据符合数据库的维度。 多个数据的每个数据具有关联的元数据和相关联的密钥。 关联的元数据包括关于与相应数据相关联的队列的数据，关于与相应数据相关联的层级的数据，关于数据的相应源的数据，以及关于与每个相关联的数据的完整性，可靠性和重要性相关联的概率的数据。 该查询用作搜索的参考框架。 数据库返回基于查询和数据的第一推断的正确性的概率。
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43.发明申请SYSTEM AND METHOD FOR DERIVING A HIERARCHICAL EVENT BASED DATABASE OPTIMIZED FOR ANALYSIS OF CRIMINAL AND SECURITY INFORMATION 失效用于分析犯罪和安全信息优化的基于分层事件的数据库的系统和方法公开(公告)号：US20080208901A1
公开(公告)日：2008-08-28
申请号：US11678959
申请日：2007-02-26
CPC分类号： G06F17/30536 , G06F2216/03
摘要： A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.
摘要翻译： 一种计算机实现的方法，装置和计算机可用程序代码，用于推断从接收到关于推理的查询的数据库中不存在第一推断的概率。 数据库的每个数据符合数据库的维度。 多个数据的每个数据具有关联的元数据和相关联的密钥。 关联的元数据包括关于与相应数据相关联的队列的数据，关于与相应数据相关联的层级的数据，关于数据的相应源的数据，以及关于与每个相关联的数据的完整性，可靠性和重要性相关联的概率的数据。 该查询用作搜索的参考框架。 数据库返回基于查询和数据的第一推断的正确性的概率。
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公开(公告)号：US09389410B2
公开(公告)日：2016-07-12
申请号：US12344742
申请日：2008-12-29
摘要： The illustrative embodiments provide for a computer implemented method, computer readable medium, and data processing system for adjusting a perceived image seen through an optical observation device. The azimuth-elevation-rotation of the optical observation device is measured relative to an observer. The field of view observed through the observation device appears with at least one of rotated and inverted optical translation relative to observation of the object with an unaided eye of the observer. Based on the celestial coordinate system inherent in the design of the mounting of the optical observation device, moving optical observation device in the optical translation direction, wherein the field of view moves in the optical view direction, and wherein the celestial coordinate system is selected from a group consisting of an equatorial coordinate system and an azimuth-elevation coordinate system.
摘要翻译： 说明性实施例提供了一种用于调整通过光学观察装置看到的感知图像的计算机实现的方法，计算机可读介质和数据处理系统。 相对于观察者测量光学观察装置的方位角 - 仰角旋转。 通过观察装置观察到的视野与相对于用观察者的肉眼观察对象的旋转和倒置光学平移中的至少一个呈现。 基于光学观察装置的安装设计固有的天体坐标系，沿光学平移方向移动光学观察装置，其中视场沿光学方向移动，其中天体坐标系选自 由赤道坐标系和方位角坐标系组成的组。
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公开(公告)号：US09292577B2
公开(公告)日：2016-03-22
申请号：US12884665
申请日：2010-09-17
IPC分类号： G06F17/30
CPC分类号： G06F17/30528 , G06F17/30539 , G06F17/30867
摘要： A computer implemented method, system, and/or computer program product performs an appropriate type of data analysis for a user. A preliminary request for a data analysis is received from a user having a user profile. The preliminary request fails to identify an appropriate data source for the data analysis, and fails to identify an appropriate type of data analysis. Thus, a customized request, that identifies the appropriate data source for analysis, is created from the preliminary request based on the user's profile. The customized request is mapped, based on the user's profile, to a specific data constrained analytic algorithm that performs the appropriate type of data analysis. This specific data constrained analytic algorithm performs the appropriate type of data analysis on the appropriate data source in order to generate an analytic result, which is transmitted to the user.
摘要翻译： 计算机实现的方法，系统和/或计算机程序产品为用户执行适当类型的数据分析。 从具有用户简档的用户接收到数据分析的初步请求。 初步请求无法识别数据分析的适当数据源，无法识别适当类型的数据分析。 因此，根据用户的配置文件，从初步请求中创建一个用于标识用于分析的适当数据源的自定义请求。 根据用户的配置文件将定制的请求映射到执行适当类型的数据分析的特定数据约束分析算法。 该特定数据约束分析算法在适当的数据源上执行适当类型的数据分析，以生成分析结果，并将其发送给用户。
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公开(公告)号：US09037720B2
公开(公告)日：2015-05-19
申请号：US12949956
申请日：2010-11-19
IPC分类号： G06F15/173 , H04L12/24
CPC分类号： H04L41/0836
摘要： A computer implemented method, system, and/or computer program product provides hierarchical templates to optimize a configuration of an information technology (IT) infrastructure. A technology rule set, which defines technology weights of an IT infrastructure by mapping capabilities of IT infrastructure components to IT infrastructure attributes needed to execute a specific workload, is established. Hierarchical templates, which are tied to configuration logic for creating IT infrastructures, are sent to a user. Based on user-selected templates, a candidate IT infrastructure for executing the specific workload is configured. In response to determining that the candidate IT infrastructure fails to meet the customer's expectations, the candidate IT infrastructure is reconfigured until the customer's expectations are met.
摘要翻译： 计算机实现的方法，系统和/或计算机程序产品提供分层模板以优化信息技术（IT）基础设施的配置。 建立了技术规则集，其通过将IT基础架构组件的功能映射到执行特定工作负载所需的IT基础架构属性来定义IT基础架构的技术权重。 与创建IT基础架构的配置逻辑相关的分层模板将发送给用户。 基于用户选择的模板，配置用于执行特定工作负载的候选IT基础架构。 为了确定候选IT基础架构不能满足客户的期望，候选IT基础设施将重新配置，直到满足客户的期望。
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47.发明授权Generating epigenetic cohorts through clustering of epigenetic surprisal data based on parameters 有权通过基于参数的表观遗传数据的聚类生成表观遗传组公开(公告)号：US08972406B2
公开(公告)日：2015-03-03
申请号：US13563072
申请日：2012-07-31
CPC分类号： G06F17/30864 , G06F19/18 , G06F19/24
摘要： A method, computer program product, and system generating epigenetic cohorts for a specific time period through clustering of epigenetic surprisal data at a specific time comprising. receiving a phenotypic and/or demographic parameter and a cluster characteristics input from a user; searching the epigenetic surprisal data at a specific time for the parameter and storing matches in a repository; generating a cluster comprising a centroid for each parameter by populating the cluster based on the matches of the parameter with the epigenetic surprisal data at a specific time period; determining at least two epigenetic cohorts for a specific time period from the cluster for each parameter and based on the input from the user; and if the cohorts do not match the input of the user, reporting the cohorts determined to the user and returning to the step of receiving a parameter and characteristic input from a user.
摘要翻译： 一种方法，计算机程序产品和通过在特定时间聚集表观遗传数据的特定时间段来生成表观遗传组群的系统，包括。 从用户接收表型和/或人口统计参数和聚类特征输入; 在特定时间搜索表观遗传数据，以获取参数并在存储库中存储匹配; 通过在特定时间段基于参数与表观遗传数据的匹配来填充所述聚类，生成包括每个参数的质心的聚类; 根据来自用户的输入，从集群确定针对每个参数的特定时间段的至少两个表观遗传组群; 并且如果所述队列与所述用户的输入不匹配，则向所述用户报告所述队列，并返回到从用户接收参数和特征输入的步骤。
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公开(公告)号：US08959119B2
公开(公告)日：2015-02-17
申请号：US13595356
申请日：2012-08-27
IPC分类号： G06F17/30
CPC分类号： G06F17/30958
摘要： A context-based graph-relational intersect derived (CB-GRID) links a real entity graph node to a synthetic entity graph node. The real entity graph node comprises a pointer to a primary key in a first tuple that non-contextually describes the real entity. A primary relational database comprises the first tuple that non-contextually describes the real entity. A context relational database comprises a second tuple that contains a foreign key that matches the primary key in the primary relational database. The second tuple dynamically describes a context of data in the first tuple. A contextual entity relational database comprises a third tuple that contains data from the first tuple and the second tuple. The synthetic entity graph node describes a synthetic entity that is described by data in the third tuple, such that the contextual entity relational database links the real entity graph node to the synthetic entity graph node.
摘要翻译： 基于上下文的图关系相交导出（CB-GRID）将真实实体图节点链接到合成实体图节点。 真实实体图形节点包括指向第一元组中的主键的指针，该第一元组非上下文地描述真实实体。 主关系数据库包括非上下文描述真实实体的第一元组。 上下文关系数据库包括第二元组，其包含与主关系数据库中的主键匹配的外键。 第二个元组动态地描述第一个元组中的数据的上下文。 上下文实体关系数据库包括包含来自第一元组和第二元组的数据的第三元组。 合成实体图节点描述由第三元组中的数据描述的合成实体，使得上下文实体关系数据库将真实实体图节点链接到合成实体图节点。
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公开(公告)号：US08954433B2
公开(公告)日：2015-02-10
申请号：US13402586
申请日：2012-02-22
CPC分类号： G06F17/30595 , G06F17/30864 , G06Q10/10
摘要： A processor-implemented method, system, and/or computer program product generate a recommendation to add a member to a receptivity cohort. A receptivity cohort is made up of members who share a conduct attribute, which is a facial expression, body language, and/or social interaction of a person. The conduct attribute has been predetermined to be an indicator of a level of receptiveness to a proposed future change in a set of circumstances. Biometric sensor data, which describe the facial expression, body language and/or social interaction for a candidate member, are retrieved from a set of biometric sensors. The retrieved biometric sensor data for the candidate member is compared to the conduct attribute of members of the receptivity cohort. In response to the biometric sensor data for the candidate member matching the conduct attribute of members of the receptivity cohort, a recommendation is generated to add the candidate member to the receptivity cohort.
摘要翻译： 处理器实现的方法，系统和/或计算机程序产品产生将成员添加到接受性队列的建议。 接受性队列由共享行为属性的成员组成，这是一个人的面部表情，肢体语言和/或社交互动。 行为属性已被预先确定为在一组情况下对拟议的未来变化的接受程度的指标。 从一组生物特征传感器检索描述候选成员的面部表情，身体语言和/或社交交互的生物特征传感器数据。 将检索到的候选成员的生物特征传感器数据与接受队列的成员的行为属性进行比较。 响应于与接受队列的成员的行为属性匹配的候选成员的生物特征传感器数据，生成将候选成员添加到接受队列的推荐。
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50.发明申请MINIMIZATION OF EPIGENETIC SURPRISAL DATA OF EPIGENETIC DATA WITHIN A TIME SERIES 有权在时间序列中优化数据的简化数据的最小化公开(公告)号：US20140006365A1
公开(公告)日：2014-01-02
申请号：US13537385
申请日：2012-06-29
CPC分类号： G06F17/30864 , G06F19/18 , G06F19/24 , G06F19/26
摘要： A method, computer program product and system of minimizing epigenetic surprisal data either by comparing epigenetic surprisal data to a fixed baseline epigenetic data, so that all of the comparisons were made to the same baseline epigenetic data or by comparing epigenetic surprisal data to a rolling baseline of epigenetic surprisal data—that is, after each comparison the baseline is changed to the data from the time point which had been compared previously.
摘要翻译： 通过将表观遗传学惊奇数据与固定的基线表观遗传数据进行比较来最小化表观遗传学意外数据的方法，计算机程序产品和系统，使得所有比较都进行到相同的基线表观遗传数据，或通过将表观遗传数据与滚动基线进行比较 的表观遗传数据 - 也就是说，在每次比较之后，将基线从先前比较的时间点改变为数据。
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