Presenting a document on a computer
    131.
    发明授权

    公开(公告)号:US11500604B2

    公开(公告)日:2022-11-15

    申请号:US13535919

    申请日:2012-06-28

    Abstract: A document can be presented on a computer that includes at least two video output ports. The document is divided into multiple parts, with each part being expressed in a different language. Each one of the at least two video output ports can be configured in or for a language of a partial document to be output by the video output port. Each one of the at least two video output ports can be made to synchronously output the partial document to which the language configured for the video output port corresponds.

    TECHNOLOGIES FOR PREDICTIVE FILE CACHING AND SYNCHRONIZATION
    136.
    发明申请
    TECHNOLOGIES FOR PREDICTIVE FILE CACHING AND SYNCHRONIZATION 审中-公开
    预测文件高速缓存和同步技术

    公开(公告)号:US20160378665A1

    公开(公告)日:2016-12-29

    申请号:US14750618

    申请日:2015-06-25

    Abstract: Technologies for predictive caching include a computing device to receive sensor data generated by one or more sensors of the computing device and determine a device context of the computing device based on the sensor data. Based on the device context, the computing device determines a file to cache that has similar characteristics to another file recently accessed by a user of the computing device. The computing device includes a file cache with a first partition to store files identified to have similar characteristics to files recently accessed by a user and a second partition to store files identified based on access patterns of the user. The computing device stores the determined file to the first partition.

    Abstract translation: 用于预测缓存的技术包括计算设备,用于接收由计算设备的一个或多个传感器产生的传感器数据,并且基于传感器数据确定计算设备的设备上下文。 基于设备上下文,计算设备确定具有与计算设备的用户最近访问的另一文件具有相似特征的缓存文件。 计算设备包括具有第一分区的文件高速缓存,用于存储被识别为具有与用户最近访问的文件相似的特征的文件,以及用于存储基于用户的访问模式识别的文件的第二分区。 计算设备将确定的文件存储到第一分区。

    TECHNOLOGIES FOR DETECTION OF ANOMALIES IN VEHICLE TRAFFIC PATTERNS
    137.
    发明申请
    TECHNOLOGIES FOR DETECTION OF ANOMALIES IN VEHICLE TRAFFIC PATTERNS 审中-公开
    用于检测车辆交通模式中异常的技术

    公开(公告)号:US20160284212A1

    公开(公告)日:2016-09-29

    申请号:US14672102

    申请日:2015-03-28

    Abstract: Technologies for monitoring vehicle traffic include a traffic analysis server that receives infrastructure data from infrastructure sensors positioned along a road segment of a road and vehicle data from one or more vehicles travelling along the road segment. The traffic analysis server determines whether anomalies are present in the traffic data through the road segment based on an expected traffic behavior for the road segment. The traffic analysis server determines the expected traffic behavior for the road segment in a particular time window based on a historical traffic pattern associated with the road segment, based on historical vehicle data and historical infrastructure data captured during a prior time window corresponding to the particular time window for that road segment. Other embodiments are described and claimed.

    Abstract translation: 用于监视车辆交通的技术包括一个交通分析服务器,其从沿道路路段的基础设施传感器接收基础设施数据,并且从沿着道路段行驶的一个或多个车辆的车辆数据接收基础设施数据。 流量分析服务器基于道路段的预期交通行为来确定通过道路段的交通数据中是否存在异常。 流量分析服务器基于在与特定时间对应的先前时间窗口期间捕获的历史车辆数据和历史基础设施数据,基于与道路段相关联的历史交通模式,在特定时间窗口中确定道路段的预期交通行为 该路段的窗口。 描述和要求保护其他实施例。

    Technologies for multi-factor security analysis and runtime control
    139.
    发明授权
    Technologies for multi-factor security analysis and runtime control 有权
    多因素安全分析和运行时间控制技术

    公开(公告)号:US09356969B2

    公开(公告)日:2016-05-31

    申请号:US14493814

    申请日:2014-09-23

    Abstract: Technologies for client-level web application runtime control and multi-factor security analysis by a computing device include receiving application code associated with a browser-based application from a web server. The computing device collects real-time data generated by at least one sensor of the computing device and performs a multi-factor security assessment of the browser-based application as a function of the collected real-time data and the application code. Further, the computing device establishes a client-level web application runtime security policy associated with the browser-based application in response to performing the multi-factor security assessment and enforces the client-level web application runtime security policy.

    Abstract translation: 用于由计算设备进行客户端Web应用运行时控制和多因素安全性分析的技术包括从web服务器接收与基于浏览器的应用相关联的应用代码。 计算设备收集由计算设备的至少一个传感器生成的实时数据,并且根据所收集的实时数据和应用代码执行基于浏览器的应用的多因素安全性评估。 此外,计算设备响应于执行多因素安全评估而建立与基于浏览器的应用相关联的客户端级Web应用运行时安全性策略,并且实施客户端级Web应用运行时安全策略。

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