Template for optimizing IT infrastructure configuration
    41.
    发明授权
    Template for optimizing IT infrastructure configuration 有权
    优化IT基础架构配置的模板

    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。

    Generating epigenetic cohorts through clustering of epigenetic surprisal data based on parameters
    42.
    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

    IPC分类号: G06F17/30 G06F19/24 G06F19/18

    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。

    Context-based graph-relational intersect derived database
    43.
    发明授权
    Context-based graph-relational intersect derived database 有权
    基于上下文的图关系交叉导出数据库

    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。

    Generating a recommendation to add a member to a receptivity cohort
    44.
    发明授权
    Generating a recommendation to add a member to a receptivity cohort 有权
    生成一个建议来添加成员到接受性队列

    公开(公告)号:US08954433B2

    公开(公告)日:2015-02-10

    申请号:US13402586

    申请日:2012-02-22

    IPC分类号: G06F17/30 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。

    Patient cohort matching
    45.
    发明授权
    Patient cohort matching 有权
    病人队列匹配

    公开(公告)号:US08930223B2

    公开(公告)日:2015-01-06

    申请号:US13436239

    申请日:2012-03-30

    IPC分类号: G06Q50/00 G06Q10/00

    摘要: A computer hardware-implemented method, system, and/or computer program product matches a current patient to a specific patient readmission cohort. The specific patient readmission cohort, made up of patients having a shared attribute, has a historical likelihood of hospital readmission within a predefined post-discharge length of time for members of the specific patient readmission cohort. A database describing a current patient is selected, based on the cost and speed of accessing that database, as well as the probability that the database describes a similar attribute for the current patient as the shared attribute in the specific patient readmission cohort. If the current patient meets the requisite criteria for entry into the specific patient readmission cohort, then a recommendation designed to reduce a likelihood of hospital readmission of the current patient is generated.

    摘要翻译: 计算机硬件实现的方法,系统和/或计算机程序产品将当前患者与特定患者再入院队列匹配。 由具有共同属性的患者组成的特定患者再入院队列具有在特定患者再次入院队列中的成员的预定的放电后时间段内医院再次入院的历史可能性。 基于访问该数据库的成本和速度以及数据库描述当前患者的类似属性作为特定患者再入院队列中的共享属性的概率,选择描述当前患者的数据库。 如果当前患者满足进入特定患者再次入院队列的必要标准,则产生旨在减少当前患者再次入院的可能性的建议。

    MINIMIZATION OF EPIGENETIC SURPRISAL DATA OF EPIGENETIC DATA WITHIN A TIME SERIES
    46.
    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

    IPC分类号: G06F7/00 G06F17/30

    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。

    Dimensionally constrained synthetic context objects database
    47.
    发明授权
    Dimensionally constrained synthetic context objects database 失效
    尺寸约束的合成上下文对象数据库

    公开(公告)号:US08620958B1

    公开(公告)日:2013-12-31

    申请号:US13610347

    申请日:2012-09-11

    IPC分类号: G06F7/00 G06F17/30

    摘要: A processor-implemented method, system, and/or computer program product generate and utilize a dimensionally constrained hierarchical synthetic context-based object library for multiple synthetic context-based objects. A non-contextual data object is associated with a context object to define a synthetic context-based object, where the non-contextual data object ambiguously relates to multiple subject-matters, and where the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of the non-contextual data object. The synthetic context-based object is then associated with at least one specific data store, which includes data that is associated with data contained in the non-contextual data object and the context object. A dimensionally constrained hierarchical synthetic context-based object library for multiple synthetic context-based objects is then constructed for handling requests for data stores, where a requester requests data stores that are associated with a same dimension of the dimensionally constrained hierarchical synthetic context-based object library.

    摘要翻译: 处理器实现的方法,系统和/或计算机程序产品针对多个合成的基于上下文的对象生成并利用尺度上限制的层级合成基于上下文的对象库。 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,其中非上下文数据对象含义地涉及多个主题事件,并且其中上下文对象提供识别特定主题 - 从多个主题事件,非上下文数据对象的事情。 合成的基于上下文的对象然后与至少一个特定的数据存储相关联,该存储包括与非上下文数据对象和上下文对象中包含的数据相关联的数据。 然后构建用于多个基于合成的基于上下文的对象的基于尺寸限制的基于层级的合成基于上下文的对象库,用于处理对数据存储的请求,其中请求者请求与尺寸限制的层级合成基于上下文的对象的相同维度相关联的数据存储 图书馆。

    MINIMIZATION OF SURPRISAL DATA THROUGH APPLICATION OF HIERARCHY FILTER PATTERN
    48.
    发明申请
    MINIMIZATION OF SURPRISAL DATA THROUGH APPLICATION OF HIERARCHY FILTER PATTERN 审中-公开
    通过应用层次滤波器图案来最小化数据

    公开(公告)号:US20130311435A1

    公开(公告)日:2013-11-21

    申请号:US13491884

    申请日:2012-06-08

    IPC分类号: G06F7/00 G06F17/30

    摘要: A method, computer product, and computer system of minimizing surprisal data comprising: at a source, reading and identifying characteristics of a genetic sequence of an organism; receiving an input of rank of at least two identified characteristics of the genetic sequence of the organism; generating a hierarchy of ranked, identified characteristics based on the rank of the at least two identified characteristics of the genetic sequence of the organism; comparing the hierarchy of ranked, identified characteristics to a repository of reference genomes; and if at least one reference genome from the repository matches the hierarchy of ranked, identified characteristics, breaking the matched reference genomes into pieces, combining pieces associated with the identified characteristics from at least one matched reference genome to form a filter pattern to be compared to the nucleotides of the genetic sequence of the organism, to obtain differences and create surprisal data.

    摘要翻译: 一种使意外数据最小化的方法,计算机产品和计算机系统,包括:来源,读取和识别生物体的遗传序列的特征; 接收生物体遗传序列的至少两个识别特征的等级的输入; 基于所述生物体的遗传序列的所述至少两个识别的特征的等级来生成排名,确定的特征的层次; 将排名的,识别的特征的层级与参考基因组的储存库进行比较; 并且如果来自所述储存库的至少一个参考基因组匹配排序,鉴定的特征的分级,将所述匹配的参考基因组破碎成碎片,将与所识别的特征相关联的片段与至少一个匹配的参考基因组相组合以形成要与 生物的遗传序列的核苷酸,以获得差异并产生令人惊讶的数据。

    PARALLELIZATION OF SURPRISAL DATA REDUCTION AND GENOME CONSTRUCTION FROM GENETIC DATA FOR TRANSMISSION, STORAGE, AND ANALYSIS
    49.
    发明申请
    PARALLELIZATION OF SURPRISAL DATA REDUCTION AND GENOME CONSTRUCTION FROM GENETIC DATA FOR TRANSMISSION, STORAGE, AND ANALYSIS 有权
    用于传输,存储和分析的遗传数据的平均数据简化和基因组建的并行化

    公开(公告)号:US20130254218A1

    公开(公告)日:2013-09-26

    申请号:US13428339

    申请日:2012-03-23

    IPC分类号: G06F17/30

    CPC分类号: G06F19/22

    摘要: A method, computer product, and computer system of reducing an amount of data representing a genetic sequence of an organism, comprising: a computer dividing a reference genome and a sequence of the organism into parts and assigning the parts to one of a plurality of computer processing elements. Within each computer processing element, comparing nucleotides of the genetic sequence of the organism to nucleotides from a part of the reference genome, to find differences where nucleotides of the genetic sequence of the organism which are different from the nucleotides of the reference genome; and storing the surprisal data in a repository. Combining the parts of the surprisal data from the repository to form a complete set of surprisal data representing the differences between the genetic sequence of the organism and the reference genome; and storing the complete set of surprisal data in the repository.

    摘要翻译: 一种减少表示生物体的遗传序列的数据量的方法,计算机产品和计算机系统,包括:将参考基因组和所述生物体的序列划分为部分并将所述部分分配给多个计算机之一的计算机 处理元件。 在每个计算机处理元件内,将生物体的遗传序列的核苷酸与来自参考基因组的一部分的核苷酸进行比较,以发现不同于参考基因组的核苷酸的生物的遗传序列的核苷酸的差异; 并将惊奇数据存储在存储库中。 将来自储存库的惊人数据的部分组合以形成一组完整的惊人数据,这些数据表示生物体的基因序列与参照基因组之间的差异; 并将完整的惊奇数据集存储在存储库中。

    Born encrypted optical data
    50.
    发明授权
    Born encrypted optical data 有权
    出生加密光学数据

    公开(公告)号:US08464076B2

    公开(公告)日:2013-06-11

    申请号:US13071262

    申请日:2011-03-24

    IPC分类号: G06F11/30

    摘要: A device for generating a born encrypted optical file includes a photovoltaic matrix for converting an optical image into a digital file. The digital file is a collection of digital data that has not been processed by any image processing logic and thus cannot be used to directly generate a reproduced image of the object. An encryption logic converts the digital file into an encrypted digital file that can be exported from the device to an authorized device to create a decrypted digital file. This decrypted digital file is capable of being used by a display logic to display an image of the object.

    摘要翻译: 用于生成加密光学文件的装置包括用于将光学图像转换成数字文件的光伏矩阵。 数字文件是未被任何图像处理逻辑处理的数字数据的集合,因此不能用于直接生成对象的再现图像。 加密逻辑将数字文件转换成可从设备导出到授权设备的加密数字文件,以创建解密的数字文件。 该解密的数字文件能够被显示逻辑用于显示对象的图像。