METHOD AND APPARATUS FOR EFFICIENT AND ACCURATE ANALYTICS WITH CROSS-DOMAIN CORRELATION
    1.
    发明申请
    METHOD AND APPARATUS FOR EFFICIENT AND ACCURATE ANALYTICS WITH CROSS-DOMAIN CORRELATION 有权
    有效和准确的跨域关联分析的方法和装置

    公开(公告)号:US20120215829A1

    公开(公告)日:2012-08-23

    申请号:US13029699

    申请日:2011-02-17

    CPC classification number: G06F15/18 G06N99/005

    Abstract: A method of generating analytics to provide an analysis of data from distinct data domains includes collecting sensor data from at least two distinct data domains, deriving parameters from the collected data, wherein at least one of the parameters is a first domain parameter derived from one of the data domains and at least another one of the parameters is a second domain parameter derived from the other data domain, providing a data model that enables a user to specify at least one of the first parameters and at least one of the second domain parameters and generate at least one rule based on the selected parameters, and generating analytics that analyze the collected data against the rules to determinate whether the rules have been satisfied and provide results of the analysis to a user of the analytics.

    Abstract translation: 生成分析以提供来自不同数据域的数据分析的方法包括从至少两个不同的数据域收集传感器数据,从所收集的数据中导出参数,其中至少一个参数是从 所述数据域和所述参数中的至少另一个参数是从所述其他数据域导出的第二域参数,提供使得用户能够指定所述第一参数中的至少一个和所述第二域参数中的至少一个的数据模型, 基于所选择的参数生成至少一个规则,以及生成分析数据,根据规则分析所收集的数据,以确定规则是否已被满足,并向分析用户提供分析结果。

    Estimation of transit demand models for enhancing ridership
    2.
    发明授权
    Estimation of transit demand models for enhancing ridership 有权
    估算增加乘客人数的过境需求模型

    公开(公告)号:US08306848B1

    公开(公告)日:2012-11-06

    申请号:US13153725

    申请日:2011-06-06

    CPC classification number: G06F17/30241

    Abstract: A method of estimating a transit demand graph includes collecting conditional information that includes at least one condition that when satisfied converts at least one non-rider into a rider, generating a non-rider transit demand graph by satisfying one of the conditions, and generating a normalized transit demand graph from the non-rider transit demand graph and a rider transit demand graph. The riders use public transit and the non-riders do not use public transit. The non-rider transit demand graph shows the demand of the non-riders for a public transit route. The rider transit demand graph shows the demand of riders for the same public transit route.

    Abstract translation: 一种估计过境需求图的方法包括收集条件信息,该条件信息包括当满足将至少一个非骑手转换为骑手时至少一个条件,通过满足条件之一生成非骑车者过境需求图, 来自非乘客过境需求图的标准化过境需求图和乘客过境需求图。 乘客使用公共交通工具,非乘客不使用公共交通工具。 非乘客过境需求图显示了非公共交通路线的非乘客需求。 乘客过境需求图显示了同一条公共交通路线的乘客的需求。

    ESTIMATION OF TRANSIT DEMAND MODELS FOR ENHANCING RIDERSHIP
    3.
    发明申请
    ESTIMATION OF TRANSIT DEMAND MODELS FOR ENHANCING RIDERSHIP 有权
    估算移交需求模型,以提高驾驶人数

    公开(公告)号:US20120310707A1

    公开(公告)日:2012-12-06

    申请号:US13549777

    申请日:2012-07-16

    CPC classification number: G06F17/30241

    Abstract: A method of estimating a transit demand graph includes collecting conditional information that includes at least one condition that when satisfied converts at least one non-rider into a rider, generating a non-rider transit demand graph by satisfying one of the conditions, and generating a normalized transit demand graph from the non-rider transit demand graph and a rider transit demand graph. The riders use public transit and the non-riders do not use public transit. The non-rider transit demand graph shows the demand of the non-riders for a public transit route. The rider transit demand graph shows the demand of riders for the same public transit route.

    Abstract translation: 一种估计过境需求图的方法包括收集条件信息,该条件信息包括当满足将至少一个非骑手转换为骑手时至少一个条件,通过满足条件之一生成非骑车者过境需求图, 来自非乘客过境需求图的标准化过境需求图和乘客过境需求图。 乘客使用公共交通工具,非乘客不使用公共交通工具。 非乘客过境需求图显示了非公共交通路线的非乘客需求。 乘客过境需求图显示了同一条公共交通路线的乘客的需求。

    Method and apparatus for efficient and accurate analytics with cross-domain correlation
    4.
    发明授权
    Method and apparatus for efficient and accurate analytics with cross-domain correlation 有权
    用于跨域相关的高效准确分析的方法和装置

    公开(公告)号:US08972484B2

    公开(公告)日:2015-03-03

    申请号:US13029699

    申请日:2011-02-17

    CPC classification number: G06F15/18 G06N99/005

    Abstract: A method of generating analytics to provide an analysis of data from distinct data domains includes collecting sensor data from at least two distinct data domains, deriving parameters from the collected data, wherein at least one of the parameters is a first domain parameter derived from one of the data domains and at least another one of the parameters is a second domain parameter derived from the other data domain, providing a data model that enables a user to specify at least one of the first parameters and at least one of the second domain parameters and generate at least one rule based on the selected parameters, and generating analytics that analyze the collected data against the rules to determinate whether the rules have been satisfied and provide results of the analysis to a user of the analytics.

    Abstract translation: 生成分析以提供来自不同数据域的数据分析的方法包括从至少两个不同的数据域收集传感器数据,从所收集的数据中导出参数,其中至少一个参数是从 所述数据域和所述参数中的至少另一个参数是从所述其他数据域导出的第二域参数,提供使得用户能够指定所述第一参数中的至少一个和所述第二域参数中的至少一个的数据模型, 基于所选择的参数生成至少一个规则,以及生成分析数据,根据规则分析所收集的数据,以确定规则是否已被满足,并向分析用户提供分析结果。

    Estimation of transit demand models for enhancing ridership
    5.
    发明授权
    Estimation of transit demand models for enhancing ridership 有权
    估算增加乘客人数的过境需求模型

    公开(公告)号:US08571918B2

    公开(公告)日:2013-10-29

    申请号:US13549777

    申请日:2012-07-16

    CPC classification number: G06F17/30241

    Abstract: A method of estimating a transit demand graph includes collecting conditional information that includes at least one condition that when satisfied converts at least one non-rider into a rider, generating a non-rider transit demand graph by satisfying one of the conditions, and generating a normalized transit demand graph from the non-rider transit demand graph and a rider transit demand graph. The riders use public transit and the non-riders do not use public transit. The non-rider transit demand graph shows the demand of the non-riders for a public transit route. The rider transit demand graph shows the demand of riders for the same public transit route.

    Abstract translation: 一种估计过境需求图的方法包括收集条件信息,该条件信息包括当满足将至少一个非骑手转换为骑手时至少一个条件,通过满足条件之一生成非骑车者过境需求图, 来自非乘客过境需求图的标准化过境需求图和乘客过境需求图。 乘客使用公共交通工具,非乘客不使用公共交通工具。 非乘客过境需求图显示了非公共交通路线的非乘客需求。 乘客过境需求图显示了同一条公共交通路线的乘客的需求。

    Identifying purpose-based origin-destination using call detailed records
    7.
    发明授权
    Identifying purpose-based origin-destination using call detailed records 有权
    使用呼叫详细记录识别基于目的的起始目的地

    公开(公告)号:US09042908B2

    公开(公告)日:2015-05-26

    申请号:US13467035

    申请日:2012-05-08

    CPC classification number: G08G1/012 H04M15/58

    Abstract: Access is obtained to call data records (or other data) for a plurality of mobile telephony users. The call data records (or other data) include location-time sequences. For each of the mobile telephony users, corresponding ones of the location-time sequences are segmented into trips; a home-work-school classification model is used to determine a home location and a work-school location, based on the trips; and a trip purpose classification model is used to assign each of the trips a purpose label, based at least on comparing at least one of a start location and an end location for each one of the trips to at least one of the home location and the work-school location determined using the home-work-school classification model. The trips are aggregated into purpose based origin-destination categories based at least on the purpose labels, time ranges of the location-time sequences, and the start and end locations.

    Abstract translation: 获得访问以呼叫多个移动电话用户的数据记录(或其他数据)。 呼叫数据记录(或其他数据)包括位置时间序列。 对于每个移动电话用户,将相应的位置时间序列分段为行程; 家庭工作学校分类模型用于根据旅行情况确定住所和工作地点; 并且旅行目的分类模型用于将每个行程分配目的标签,至少基于将每个行程的起始位置和结束位置中的至少一个比较到本地位置和 使用家庭工作学校分类模型确定工作学校的位置。 至少基于目的标签,位置 - 时间序列的时间范围以及开始和结束位置,将旅行聚合到基于目的的起始 - 目的地类别。

    Method and apparatus for security-aware elasticity of application and services
    8.
    发明授权
    Method and apparatus for security-aware elasticity of application and services 有权
    应用和服务的安全感知弹性的方法和装置

    公开(公告)号:US08793766B2

    公开(公告)日:2014-07-29

    申请号:US13419037

    申请日:2012-03-13

    CPC classification number: G06F21/604 G06F2209/5019

    Abstract: In a method for scaling up/down security (non-functional) components of an application, determine (a) types of interactions and a number of each type of interaction each non-security (functional) component has with security components for a plurality of requests. Determine, based on (a) and an expected number of incoming requests to the application, (b) types of requests to and interactions with the security components involving the non-security components and (c) a number of requests to and interactions with the security components involving non-security components for each type of request to the security components involving non-security components. Determine, for each security component, a capacity required for each type of request involving the non-security components and a capacity required for each type of interaction involving the non-security components. Change the capacities of the security components to new capacities, wherein the new capacities are based on (a), (c) and the determined capacities.

    Abstract translation: 在用于扩展/降低应用程序的安全性(非功能))组件的方法中,确定(a)每个非安全(功能)组件具有的多个交互的安全组件的交互类型和每种类型的交互的数量, 要求。 根据(a)和对应用程序的传入请求的预期数量确定(b)与涉及非安全组件的安全组件的请求类型和与其相互作用,以及(c)与 涉及非安全组件的安全组件,用于针对涉及非安全组件的安全组件的每种请求类型。 为每个安全组件确定涉及非安全组件的每种类型的请求所需的容量以及涉及非安全组件的每种类型的交互所需的容量。 将安全组件的能力改变为新能力,其中新能力基于(a),(c)和确定的能力。

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