PORTAL TRANSITION PARAMETERS FOR USE IN MOBILE DEVICE POSITIONING
    1.
    发明申请
    PORTAL TRANSITION PARAMETERS FOR USE IN MOBILE DEVICE POSITIONING 审中-公开
    用于移动设备定位的门式转换参数

    公开(公告)号:US20140128093A1

    公开(公告)日:2014-05-08

    申请号:US13670357

    申请日:2012-11-06

    CPC classification number: H04W64/006

    Abstract: Various methods, apparatuses and/or articles of manufacture are provided for use in one or more electronic devices to perform and/or otherwise support certain positioning capabilities with regard to a mobile device. For example, certain positioning capabilities may make use of one or more portal transition parameters that may be based, at least in part, on a determined likelihood that a mobile device, if located in a first region of a specific environment and within a threshold area of a portal connecting the first region to a second region of the specific environment, may or may not make use of the portal to transition from the first region to the second region, e.g., through the portal.

    Abstract translation: 提供了各种方法,装置和/或制品,用于一个或多个电子设备中以执行和/或以其他方式支持关于移动设备的某些定位能力。 例如,某些定位能力可以使用一个或多个门户转换参数,其至少部分地基于确定的可能性,即移动设备如果位于特定环境的第一区域中并且在阈值区域内 连接第一区域到特定环境的第二区域的门户可以或可以不利用门户从第一区域转移到第二区域,例如通过门户。

    Behavioral Analysis for Securing Peripheral Devices
    2.
    发明申请
    Behavioral Analysis for Securing Peripheral Devices 审中-公开
    用于保护外围设备的行为分析

    公开(公告)号:US20150262067A1

    公开(公告)日:2015-09-17

    申请号:US14207754

    申请日:2014-03-13

    Abstract: The various aspects configure a mobile computing device to efficiently identify, classify, model, prevent, and/or correct the conditions and/or behaviors occurring on the mobile computing device that are related to one or more peripheral devices connected to the mobile computing device and that often degrade the performance and/or power utilization levels of the mobile computing device over time. In the various aspects, the mobile computing device may obtain a classifier model that includes, tests, and/or evaluates various conditions, features, behaviors and corrective actions on the mobile computing device that are related to one or more peripheral devices connected to the mobile computing device. The mobile computing device may utilize the classifier model to quickly identify and correct undesirable behaviors occurring on the mobile computing device that are related to the one or more connected peripheral devices.

    Abstract translation: 各个方面配置移动计算设备以有效地识别,分类,建模,预防和/或校正在移动计算设备上发生的与连接到移动计算设备的一个或多个外围设备相关的条件和/或行为,以及 这通常会降低移动计算设备的性能和/或功率利用水平。 在各个方面,移动计算设备可以获得分类器模型,该分类器模型包括,测试和/或评估移动计算设备上与连接到移动设备的一个或多个外围设备有关的各种条件,特征,行为和纠正措施 计算设备。 移动计算设备可以利用分类器模型来快速识别和纠正与一个或多个连接的外围设备相关的在移动计算设备上发生的不期望的行为。

    METHOD AND APPARATUS FOR USING RSSI AND RTT INFORMATION FOR CHOOSING ACCESS POINTS TO ASSOCIATE WITH
    3.
    发明申请
    METHOD AND APPARATUS FOR USING RSSI AND RTT INFORMATION FOR CHOOSING ACCESS POINTS TO ASSOCIATE WITH 审中-公开
    使用RSSI和RTT信息选择接入点进行相关的方法和装置

    公开(公告)号:US20150131460A1

    公开(公告)日:2015-05-14

    申请号:US14079447

    申请日:2013-11-13

    Abstract: During access point discovery, an initial list of access points available for connection is generated. The received signal strength indication (RSSI) and round trip time (RTT) delay for the access points in the initial list are measured, e.g., during discovery and by a plurality of active measurements. The initial list is pruned based on an initial and subsequent RSSI and RTT measurements to produce a master list of access points. The pruning of the initial list of access points may be based on the differentials in the RSSI measurements and the RTT measurements as well as a determination of access points that the mobile device is moving away from. As the mobile device moves to different locations, access points from the master list may be selected and connected with based on the expected duration of availability as determined by RSSI and RTT measurements.

    Abstract translation: 在接入点发现期间,生成可用于连接的接入点的初始列表。 测量初始列表中的接入点的接收信号强度指示(RSSI)和往返时间(RTT)延迟,例如在发现期间和通过多个有效测量。 基于初始和随后的RSSI和RTT测量来修剪初始列表以产生接入点的主列表。 接入点的初始列表的修剪可以基于RSSI测量和RTT测量中的差异以及移动设备正在远离的接入点的确定。 随着移动设备移动到不同的位置,可以基于由RSSI和RTT测量确定的可用性的期望持续时间来选择并连接来自主列表的接入点。

    ACCESS POINT SELECTION FOR ASSISTANCE DATA GENERATION
    4.
    发明申请
    ACCESS POINT SELECTION FOR ASSISTANCE DATA GENERATION 审中-公开
    辅助点选择用于辅助数据生成

    公开(公告)号:US20140274043A1

    公开(公告)日:2014-09-18

    申请号:US13834894

    申请日:2013-03-15

    CPC classification number: H04W48/20 G01S5/0236 H04W84/12

    Abstract: Methods, systems, computer-readable media, and apparatuses selecting access points and generating assistance data for access points is provided. In one embodiment a plurality of access points in a first area are identified, a location assistance quality value with each access point of the plurality of access points is associated with each access point, and a subset of the plurality of access points is selected based on the location assistance quality value of each access point of the plurality of access points. Assistance data is then generated for the selected access points.

    Abstract translation: 提供了方法,系统,计算机可读介质和选择接入点并生成接入点的辅助数据的设备。 在一个实施例中,识别出第一区域中的多个接入点,与多个接入点中的每个接入点的位置协助质量值与每个接入点相关联,并且基于 多个接入点的每个接入点的位置辅助质量值。 然后为所选择的接入点生成辅助数据。

    USER-IN-THE-LOOP ARCHITECTURE FOR INDOOR POSITIONING
    5.
    发明申请
    USER-IN-THE-LOOP ARCHITECTURE FOR INDOOR POSITIONING 有权
    用于室内定位的环境建筑

    公开(公告)号:US20140243017A1

    公开(公告)日:2014-08-28

    申请号:US13778486

    申请日:2013-02-27

    CPC classification number: H04W4/043 G01C21/206

    Abstract: Techniques for determining a position of a mobile device in an indoor environment are provided. An example method includes receiving a request for the position of the mobile device within the indoor environment from an application running on the mobile device, estimating the position of the mobile device within the indoor environment based on signals received from a plurality of wireless access points responsive to receiving the request for the position of the mobile device, identifying an ambiguity in estimating the position of the mobile device, identifying disambiguation information for resolving the ambiguity in the position, requesting disambiguation information for resolving the ambiguity associated with the position, receiving the disambiguation information for resolving the ambiguity associated with the position; resolving the ambiguity in estimating the position using the disambiguation information; and determining the position of the mobile device in the indoor environment.

    Abstract translation: 提供了用于在室内环境中确定移动设备的位置的技术。 一种示例性方法包括从移动设备上运行的应用接收对室内环境中的移动设备的位置的请求,基于从多个无线接入点接收到的响应信号估计移动设备在室内环境中的位置 接收对移动设备的位置的请求,在估计移动设备的位置时识别模糊性,识别用于解决位置中的模糊性的消歧信息,请求消除歧义信息以解决与该位置相关联的模糊度,接收消歧义 解决与职位相关的歧义的信息; 解决使用消歧信息估计职位的模糊性; 以及确定所述移动设备在室内环境中的位置。

    BEHAVIORAL ANALYSIS TO AUTOMATE DIRECT AND INDIRECT LOCAL MONITORING OF INTERNET OF THINGS DEVICE HEALTH
    6.
    发明申请
    BEHAVIORAL ANALYSIS TO AUTOMATE DIRECT AND INDIRECT LOCAL MONITORING OF INTERNET OF THINGS DEVICE HEALTH 有权
    自动进行直接和间接监控互联网设备健康的行为分析

    公开(公告)号:US20160261465A1

    公开(公告)日:2016-09-08

    申请号:US14638602

    申请日:2015-03-04

    Abstract: The disclosure generally relates to behavioral analysis to automate monitoring Internet of Things (IoT) device health in a direct and/or indirect manner. In particular, normal behavior associated with an IoT device in a local IoT network may be modeled such that behaviors observed at the IoT device may be compared to the modeled normal behavior to determine whether the behaviors observed at the IoT device are normal or anomalous. Accordingly, in a distributed IoT environment, more powerful “analyzer” devices can collect behaviors locally observed at other (e.g., simpler) “observer” devices and conduct behavioral analysis across the distributed IoT environment to detect anomalies potentially indicating malicious attacks, malfunctions, or other issues that require customer service and/or further attention. Furthermore, devices with sufficient capabilities may conduct (local) on-device behavioral analysis to detect anomalous conditions without sending locally observed behaviors to another aggregator device and/or analyzer device.

    Abstract translation: 本公开通常涉及以直接和/或间接方式自动监视物联网(IoT)设备健康状况的行为分析。 特别地,可以建模与本地IoT网络中的IoT设备相关联的正常行为,使得可以将在IoT设备处观察到的行为与建模的正常行为进行比较,以确定在IoT设备处观察到的行为是正常还是异常。 因此,在分布式IoT环境中,更强大的“分析器”设备可以收集在其他(例如更简单的)“观察者”设备本地观察到的行为,并在分布式IoT环境中进行行为分析,以检测潜在地指示恶意攻击,故障或 其他需要客户服务和/或进一步关注的问题。 此外,具有足够能力的设备可以进行(本地)设备上行为分析以检测异常情况,而不将本地观察到的行为发送到另一聚合器设备和/或分析仪设备。

    AUTOMATING CUSTOMER SERVICE AN INTERNET OF EVERYTHING ENVIRONMENT
    7.
    发明申请
    AUTOMATING CUSTOMER SERVICE AN INTERNET OF EVERYTHING ENVIRONMENT 审中-公开
    自动化客户服务一个互联网的环境

    公开(公告)号:US20160247164A1

    公开(公告)日:2016-08-25

    申请号:US14627389

    申请日:2015-02-20

    CPC classification number: G06Q30/016 G06Q10/10 G06Q50/06 H04L43/065 H04L67/12

    Abstract: Systems and methods are disclosed for automating customer service for a monitored device (MD). A method for an Internet of Everything management device to automate customer service for a monitored device comprises collecting sensor data from a plurality of sensors, wherein the plurality of sensors comprises a first sensor that is not included in the MD, determining whether the MD is exhibiting abnormal behavior based on an analysis of the collected sensor data, and transmitting a report to a customer service entity associated with the MD in response to a determination that the MD is exhibiting abnormal behavior.

    Abstract translation: 公开了用于自动化被监视设备(MD)的客户服务的系统和方法。 一种用于所有管理设备的因特网自动化用于被监视设备的客户服务的方法包括从多个传感器收集传感器数据,其中所述多个传感器包括不包括在MD中的第一传感器,确定MD是否正在展示 基于对收集的传感器数据的分析的异常行为,以及响应于确定MD呈现异常行为而将报告发送到与MD相关联的客户服务实体。

    SELECTING AN ACCESS POINT FOR DETERMINING POSITION OF A DEVICE BASED ON TRAFFIC LOAD INFORMATION
    8.
    发明申请
    SELECTING AN ACCESS POINT FOR DETERMINING POSITION OF A DEVICE BASED ON TRAFFIC LOAD INFORMATION 审中-公开
    选择用于确定基于交通负载信息的设备的位置的接入点

    公开(公告)号:US20150103738A1

    公开(公告)日:2015-04-16

    申请号:US14055571

    申请日:2013-10-16

    CPC classification number: H04W48/20 G01S5/0236 H04W64/00 H04W64/003

    Abstract: Techniques described herein enable a mobile device in selecting an access point (AP) from a plurality of APs for determining the position of the mobile device. In one aspect, the mobile device receives assistance data including traffic load information associated with one or more APs. The mobile device may determine which AP to communicate with based on the traffic load information associated with a plurality of APs. The assistance data including the traffic load information associated with the plurality of APs may be compiled using information from a controller connected to the plurality of APs, crowdsourcing (using information from a plurality of mobile devices over time), or information regarding the traffic conditions received from the plurality of APs. In one implementation, the mobile device may receive the assistance data information including the traffic load information from an assistance data (AD) Server.

    Abstract translation: 本文描述的技术使得移动设备能够从多个AP中选择接入点(AP),以确定移动设备的位置。 在一个方面,移动设备接收包括与一个或多个AP相关联的业务负载信息的辅助数据。 移动设备可以基于与多个AP相关联的业务负载信息来确定要通信哪个AP。 包括与多个AP相关联的业务负载信息的辅助数据可以使用来自连接到多个AP的控制器的信息,众包(使用来自多个移动设备的信息随时间使用)的信息或关于接收到的业务状况的信息来编译 从多个AP。 在一个实现中,移动设备可以从辅助数据(AD)服务器接收包括业务负载信息的辅助数据信息。

    APIs for Obtaining Device-Specific Behavior Classifier Models from the Cloud
    9.
    发明申请
    APIs for Obtaining Device-Specific Behavior Classifier Models from the Cloud 有权
    用于从云获取设备特定行为分类器模型的API

    公开(公告)号:US20140237595A1

    公开(公告)日:2014-08-21

    申请号:US14157606

    申请日:2014-01-17

    Abstract: The various aspects provide a system and methods implemented on the system for generating a behavior model on a server that includes features specific to a mobile computing device and the device's current state/configuration. In the various aspects, the mobile computing device may send information identifying itself, its features, and its current state to the server. In response, the server may generate a device-specific lean classifier model for the mobile computing device based on the device's information and state and may send the device-specific lean classifier model to the device for use in detecting malicious behavior. The various aspects may enhance overall security and performance on the mobile computing device by leveraging the superior computing power and resources of the server to generate a device-specific lean classifier model that enables the device to monitor features that are actually present on the device for malicious behavior.

    Abstract translation: 各个方面提供在系统上实现的系统和方法,用于在服务器上生成包括移动计算设备特有的功能和设备的当前状态/配置的行为模型。 在各个方面,移动计算设备可以向服务器发送标识自身,其特征及其当前状态的信息。 作为响应,服务器可以基于设备的信息和状态为移动计算设备生成针对设备的精简分类器模型,并且可以将设备特定的精简分类器模型发送到用于检测恶意行为的设备。 各个方面可以通过利用服务器的优越的计算能力和资源来增强移动计算设备的总体安全性和性能,以生成特定于设备的精益分类器模型,使得设备能够监视实际存在于设备上的恶意的特征 行为。

    MEASUREMENTS FOR INDOOR NAVIGATION
    10.
    发明申请
    MEASUREMENTS FOR INDOOR NAVIGATION 有权
    室内导航测量

    公开(公告)号:US20140228046A1

    公开(公告)日:2014-08-14

    申请号:US13767752

    申请日:2013-02-14

    Abstract: A method of obtaining and using access point signal information includes: receiving signals at a mobile device from a first set of access points during a passive measurement; and performing a first active measurement at the mobile device for the first set of the access points, including: sending at least one first communication each sent toward a respective one of the access points of the first set; and receiving at least one second communication each corresponding to, and responsive to, one of the at least one first communication and received from a corresponding one of the access points of the first set; where the passive measurement and the first active measurement is each performed repeatedly with the first set of the access points being reestablished at each repeat performance of the passive measurement, and with the passive measurement being performed less often than the first active measurement.

    Abstract translation: 一种获取和使用接入点信号信息的方法包括:在被动测量期间从移动设备接收来自第一组接入点的信号; 以及针对所述第一组接入点在所述移动设备处执行第一主动测量,包括:发送至少一个第一通信,每个至少一个第一通信被发送到所述第一组的接入点中的相应一个接入点; 以及接收至少一个第二通信,每个对应于并且响应于所述至少一个第一通信中的一个并且从所述第一组的所述接入点中的相应一个接收点接收; 其中被动测量和第一主动测量被重复执行,在被动测量的每个重复执行时,第一组接入点被重新建立,并且被动测量的执行频率低于第一有源测量值。

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