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    BROADCASTING SHORT INTERFRAME SPACE INFORMATION FOR LOCATION PURPOSES
    41.
    发明申请
    BROADCASTING SHORT INTERFRAME SPACE INFORMATION FOR LOCATION PURPOSES 审中-公开
    为了实现位置目的而广播短消息空间信息

    公开(公告)号：WO2014160313A3

    公开(公告)日：2014-12-11

    申请号：PCT/US2014026295

    申请日：2014-03-13

    Applicant: QUALCOMM INC

    Inventor： ALDANA CARLOS HORACIO ,  SRIDHARA VINAY ,  FISCHER SVEN ,  CHAO HUI ,  HOMCHAUDHURI SANDIP ,  CHO JAMES SIMON ,  ZHANG XIAOXIN

    IPC: G01S5/02 ,  H04W64/00

    CPC classification number: H04W64/00 ,  G01S5/0081 ,  G01S5/0236 ,  G01S5/0242 ,  H04W48/12

    Abstract: A method and apparatus for broadcasting short interframe space information to aid in determining a round trip time are provided. The round trip time is used as an aid in locating nodes within a WiFi or WLAN network. The method begins with capturing a time of transmission of a frame by a transmitting station. The receiving station then captures the time of arrival of the frame just sent by the transmitting station. The receiving station replies with a received frame message and the time of departure is captured. The transmitting station then captures the time of arrival of the received frame message. The captured arrival and departure times of the frame and the received frame message allow the round trip time to be computed. The RTT may then be included as part of a network message.

    Abstract translation: 提供了一种用于广播短帧间空间信息以帮助确定往返时间的方法和装置。 往返时间用作帮助定位WiFi或WLAN网络中的节点。 该方法从捕获发射站发射帧的时间开始。 接收站然后捕获刚刚由发射站发送的帧的到达时间。 接收站回复接收到的帧消息，并捕获出发时间。 发送站然后捕获接收到的帧消息的到达时间。 捕获的帧的到达和离开时间以及接收到的帧消息允许计算往返时间。 然后可以将RTT作为网络消息的一部分包含在内。

    ON-DEVICE REAL-TIME BEHAVIOR ANALYZER
    42.
    发明申请
    ON-DEVICE REAL-TIME BEHAVIOR ANALYZER 审中-公开
    设备实时行为分析器

    公开(公告)号：WO2013173000A3

    公开(公告)日：2014-01-09

    申请号：PCT/US2013035943

    申请日：2013-04-10

    Applicant: QUALCOMM INC

    Inventor： GUPTA RAJARSHI ,  WEI XUETAO ,  GATHALA ANIL ,  SRIDHARA VINAY

    IPC: G06N5/04

    CPC classification number: G06N99/005 ,  G06N5/043

    Abstract: Methods, systems and devices for generating data models in a communication system may include applying machine learning techniques to generate a first family of classifier models using a boosted decision tree to describe a corpus of behavior vectors. Such behavior vectors may be used to compute a weight value for one or more nodes of the boosted decision tree. Classifier models factors having a high probably of determining whether a mobile device behavior is benign or not benign based on the computed weight values may be identified. Computing weight values for boosted decision tree nodes may include computing an exclusive answer ratio for generated boosted decision tree nodes. The identified factors may be applied to the corpus of behavior vectors to generate a second family of classifier models identifying fewer factors and data points relevant for enabling the mobile device to determine whether a behavior is benign or not benign.

    Abstract translation: 用于在通信系统中生成数据模型的方法，系统和设备可以包括应用机器学习技术来生成使用加强的决策树来描述行为矢量语料库的分类器模型的第一族。 可以使用这样的行为矢量来计算升压决策树的一个或多个节点的权重值。 可以识别分类器模型的因素，其可能基于所计算的权重值来确定移动设备行为是良性还是不良性。 用于升压的决策树节点的计算权重值可以包括计算生成的升压决策树节点的独占应答比率。 识别的因素可以应用于行为矢量语料库以产生第二类分类器模型，其识别与使移动设备能够确定行为是良性还是不良性相关的较少因素和数据点。

    WIRELESS-BASED POSITIONING ADJUSTMENTS USING A MOTION SENSOR
    43.
    发明申请
    WIRELESS-BASED POSITIONING ADJUSTMENTS USING A MOTION SENSOR 审中-公开
    使用运动传感器的基于无线的定位调整

    公开(公告)号：WO2010059935A9

    公开(公告)日：2011-06-09

    申请号：PCT/US2009065322

    申请日：2009-11-20

    Applicant: QUALCOMM INC ,  SRIDHARA VINAY ,  AGGARWAL ALOK ,  NAGUIB AYMAN FAWZY

    Inventor： SRIDHARA VINAY ,  AGGARWAL ALOK ,  NAGUIB AYMAN FAWZY

    IPC: G01C21/36 ,  G01S5/14

    CPC classification number: G01S5/10 ,  G01S5/021 ,  G01S7/40 ,  G01S13/76 ,  G01S19/49 ,  H04W4/027

    Abstract: Apparatuses and methods for adjusting wireless-derived positions of a mobile station using a motion sensor are presented. One method includes estimating a position of a mobile station based upon wireless signal measurements and measuring a movement of the mobile station using a relative motion sensor. The method further includes detecting a displacement of the mobile station based upon the measured movement, determining that the displacement is below a threshold and then adjusting the estimated position of the mobile station using information from the relative motion sensor. An apparatus includes a wireless transceiver, a relative motion sensor, a processor coupled to the wireless transceiver and the relative motion sensor, and a memory coupled to the processor. The memory stores executable instructions and data for causing the processor to execute methods for adjusting wireless-derived positions using a motion sensor.

    Abstract translation: 提出了使用运动传感器来调整移动台的无线来源位置的装置和方法。 一种方法包括基于无线信号测量来估计移动站的位置，并使用相对运动传感器测量移动站的移动。 该方法还包括基于测量的移动来检测移动站的位移，确定位移低于阈值，然后使用来自相对运动传感器的信息来调整移动站的估计位置。 一种装置包括无线收发器，相对运动传感器，耦合到无线收发器和相对运动传感器的处理器以及耦合到处理器的存储器。 存储器存储用于使处理器执行使用运动传感器来调整无线来源位置的方法的可执行指令和数据。

    WIRELESS POSITION DETERMINATION USING ADJUSTED ROUND TRIP TIME MEASUREMENTS
    45.
    发明申请
    WIRELESS POSITION DETERMINATION USING ADJUSTED ROUND TRIP TIME MEASUREMENTS 审中-公开
    使用调整回合时间测量的无线位置确定

    公开(公告)号：WO2010059934A3

    公开(公告)日：2010-08-12

    申请号：PCT/US2009065319

    申请日：2009-11-20

    Applicant: QUALCOMM INC ,  AGGARWAL ALOK ,  NAGUIB AYMAN FAWZY ,  SRIDHARA VINAY ,  DAS SAUMITRA MOHAN

    Inventor： AGGARWAL ALOK ,  NAGUIB AYMAN FAWZY ,  SRIDHARA VINAY ,  DAS SAUMITRA MOHAN

    IPC: G01S5/02 ,  H04L12/28 ,  H04W64/00

    CPC classification number: G01S5/10 ,  G01S5/0205 ,  G01S5/14 ,  G01S13/765 ,  H04W24/00 ,  H04W64/00

    Abstract: One method for wirelessly determining a position of a mobile station includes measuring a round trip time (RTT) to a plurality of wireless access points, estimating a first distance to each wireless access point based upon the round trip time delay and an initial processing time associated with each wireless access point, estimating a second distance to each wireless access point based upon supplemental information, combining the first and second distance estimates to each wireless access point, and calculating the position based upon the combined distance estimates. Another method includes measuring a distance to each wireless access point based upon a wireless signal model, calculating a position of the mobile station based upon the measured distance, determining a computed distance to each wireless access point based upon the calculated position of the mobile station, updating the wireless signal model, and determining whether the wireless signal model has converged.

    Abstract translation: 用于无线地确定移动站的位置的一种方法包括测量到多个无线接入点的往返时间（RTT），基于往返时间延迟估计到每个无线接入点的第一距离和相关联的初始处理时间 利用每个无线接入点，基于补充信息估计到每个无线接入点的第二距离，将第一和第二距离估计合并到每个无线接入点，以及基于组合的距离估计来计算位置。 另一种方法包括基于无线信号模型来测量到每个无线接入点的距离，基于测量的距离来计算移动台的位置，基于计算出的移动台的位置确定到每个无线接入点的计算距离， 更新无线信号模型，以及确定无线信号模型是否收敛。

    COMMUNICATING BEHAVIOR INFORMATION IN A MOBILE COMPUTING DEVICE
    47.
    发明申请
    COMMUNICATING BEHAVIOR INFORMATION IN A MOBILE COMPUTING DEVICE 审中-公开
    在移动计算设备中传播行为信息

    公开(公告)号：WO2013173043A2

    公开(公告)日：2013-11-21

    申请号：PCT/US2013038399

    申请日：2013-04-26

    Applicant: QUALCOMM INC

    Inventor： GUPTA RAJARSHI ,  HALAMBI SOORGOLI ASHOK ,  GATHALA SUDHA A ,  SRIDHARA VINAY

    IPC: G06F9/54

    CPC classification number: G06F9/541 ,  G06F21/44 ,  G06F21/554 ,  G06F21/564

    Abstract: Methods, systems and devices for communicating behavior analysis information using an application programming interface (API) may include receiving data/behavior models from one or more third-party network servers in a client module of a mobile device and communicating the information to a behavior observation and analysis system via a behavior API. The third-party servers may be maintained by one or more partner companies that have domain expertise in a particular area or technology that is relevant for identifying, analyzing, classifying, and/or reacting to mobile device behaviors, but that do not have access to (or knowledge of) the various mobile device sub-systems, interfaces, configurations, modules, processes, drivers, and/or hardware systems required to generate effective data/behavior models suitable for use by the mobile device. The behavior API and/or client modules allow the third-party server to quickly and efficiently access the most relevant and important information on the mobile device.

    Abstract translation: 用于使用应用编程接口（API）传达行为分析信息的方法，系统和设备可以包括从移动设备的客户端模块中的一个或多个第三方网络服务器接收数据/行为模型，并将该信息传达到行为观察 并通过行为API分析系统。 第三方服务器可能由一个或多个合作伙伴公司维护，这些合作公司在特定领域或技术方面具有与移动设备行为的识别，分析，分类和/或响应相关的领域专长，但无法访问 （或知道）生成适合于移动设备使用的有效数据/行为模型所需的各种移动设备子系统，接口，配置，模块，过程，驱动程序和/或硬件系统。 行为API和/或客户端模块允许第三方服务器快速有效地访问移动设备上最相关和重要的信息。

    ARCHITECTURE FOR CLIENT-CLOUD BEHAVIOR ANALYZER
    48.
    发明申请
    ARCHITECTURE FOR CLIENT-CLOUD BEHAVIOR ANALYZER 审中-公开
    客户行为分析员架构

    公开(公告)号：WO2013173003A2

    公开(公告)日：2013-11-21

    申请号：PCT/US2013035963

    申请日：2013-04-10

    Applicant: QUALCOMM INC

    Inventor： GUPTA RAJARSHI ,  WEI XUETAO ,  GATHALA ANIL ,  SRIDHARA VINAY

    IPC: G06N5/04

    CPC classification number: G06N99/005 ,  G06F21/552 ,  G06F21/566 ,  G06N5/043

    Abstract: Methods, systems and devices for generating data models in a client-cloud communication system may include applying machine learning techniques to generate a first family of classifier models that describe a cloud corpus of behavior vectors. Such vectors may be analyzed to identify factors in the first family of classifier models that have the highest probably of enabling a mobile device to conclusively determine whether a mobile device behavior is malicious or benign. Based on this analysis, a a second family of classifier models may be generated that identify significantly fewer factors and data points as being relevant for enabling the mobile device to conclusively determine whether the mobile device behavior is malicious or benign based on the determined factors. A mobile device classifier module based on the second family of classifier models may be generated and made available for download by mobile devices, including devices contributing behavior vectors.

    Abstract translation: 用于在客户云通信系统中生成数据模型的方法，系统和设备可以包括应用机器学习技术来生成描述行为矢量的云语料库的分类器模型的第一族。 可以分析这样的向量以识别分类器模型的第一族中的因素，其中最可能使移动设备能够最终确定移动设备行为是恶意还是良性。 基于该分析，可以生成第二系列分类器模型，其识别显着更少的因子和数据点，使其与使得移动设备能够根据确定的因素最终确定移动设备行为是恶意还是良性有关。 可以生成基于第二类分类器模型的移动设备分类器模块，并使其可用于由移动设备（包括贡献行为矢量的设备）进行下载。

    SYSTEMS AND METHODS INVOLVING AUGMENTED MENU USING MOBILE DEVICE
    49.
    发明申请
    SYSTEMS AND METHODS INVOLVING AUGMENTED MENU USING MOBILE DEVICE 审中-公开
    使用移动设备涉及使用的菜单的系统和方法

    公开(公告)号：WO2013033109A3

    公开(公告)日：2013-05-10

    申请号：PCT/US2012052693

    申请日：2012-08-28

    Applicant: QUALCOMM INC ,  DAS SAUMITRA MOHAN ,  SRIDHARA VINAY ,  KHORASHADI BEHROOZ

    Inventor： DAS SAUMITRA MOHAN ,  SRIDHARA VINAY ,  KHORASHADI BEHROOZ

    IPC: H04W4/18 ,  G06K9/32

    CPC classification number: H04W4/185 ,  G06F17/30041 ,  G06F17/30047 ,  G06K9/3258 ,  H04W4/04

    Abstract: The subject matter disclosed herein relates to a method comprising displaying in a camera view of a mobile device a captured image of one or more items listed in a menu of items available for selection at a point of interest identifiable, at least in part, by a location. A method may further include transmitting a message comprising parsed text of the one or more items and information representative of the location, and receiving, in response to the transmission of the message, annotations to be displayed in the camera view.

    Abstract translation: 本文公开的主题涉及一种方法，其包括在摄像机视图中以移动设备的方式显示在可被选择的项目的菜单中列出的一个或多个项目的捕获图像，所述可选择点可被标识，至少部分地由 位置。 方法还可以包括：发送包括所述一个或多个项目的解析文本和表示所述位置的信息的消息，以及响应于所述消息的传输，接收要在所述摄像机视图中显示的注释。

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