Managing Big Data for Services
    2.
    发明申请
    Managing Big Data for Services 有权
    管理服务的大数据

    公开(公告)号:US20160124957A1

    公开(公告)日:2016-05-05

    申请号:US14529467

    申请日:2014-10-31

    CPC classification number: G06F17/30663 G06F17/30705 G06F17/30864

    Abstract: Techniques are presented herein to monitor a plurality of big data sources in order to dynamically identify keywords. The big data sources are analyzed to classify the keywords as related to either a technical problem or to a solution to the technical problem. In addition, data associated with the keywords is weighted based on one or more attributes of the data and stored in a database in a problem-solution format.

    Abstract translation: 这里呈现技术来监视多个大数据源以便动态地识别关键字。 分析大数据源,将关键字分类为技术问题或技术问题的解决方案。 此外,与关键字相关联的数据基于数据的一个或多个属性加权,并以问题解决方案格式存储在数据库中。

    Blockchain-based NB-IoT devices
    3.
    发明授权

    公开(公告)号:US10972463B2

    公开(公告)日:2021-04-06

    申请号:US16180678

    申请日:2018-11-05

    Abstract: Various implementations disclosed herein enable blockchain programming in NB-IoT devices. In various implementations, a method of blockchain authentication is performed by a computing device including one or more processors, and a non-transitory memory. In various implementations, the method includes maintaining a blockchain for a machine-to-machine network, wherein the machine-to-machine network is a narrowband internet of things network. In some implementations, the method includes receiving a request for a first set of data from the blockchain by a second device. In some implementations, the method includes determining based on the request, the first set of data from the blockchain by traversing a series of blocks from the blockchain. In some implementations, the method includes packaging the first set of data from the blockchain according to a protocol into a packaged data unit and transmitting the packaged data unit to the second device.

    Identification and logging of conversations using machine learning

    公开(公告)号:US10819667B2

    公开(公告)日:2020-10-27

    申请号:US15916422

    申请日:2018-03-09

    Abstract: In one embodiment, a processor receives data indicative of a plurality of conversations involving a primary user. The processor identifies a subset of the plurality of conversations that are regarding a particular topic. The processor adds a conversation to the subset based on a match between one or more keywords in the conversation matching a list of keywords associated with the particular topic. The processor uses a machine learning-based model to identify one or more context characteristics of the conversations in the identified subset. The processor updates the subset of conversations by adding at least one of the conversations to the subset based on the at least one conversation having at least one context characteristic identified by the machine learning-based model. The processor provides data indicative of the updated subset of conversations to a user interface for review by the primary user.

    Automatic Creation and Management of a Community of Things for Internet of Things (IoT) Applications
    5.
    发明申请
    Automatic Creation and Management of a Community of Things for Internet of Things (IoT) Applications 审中-公开
    物联网自动创建和管理物联网(IoT)应用程序

    公开(公告)号:US20160105305A1

    公开(公告)日:2016-04-14

    申请号:US14512623

    申请日:2014-10-13

    CPC classification number: H04L41/0893 H04L41/16 H04W4/40 H04W4/70

    Abstract: Presented herein are techniques for automatically creating communities of network-connected devices, i.e., Internet of Thing (IoT) devices. One or more of a plurality of network-connected devices are identified based on one or more policies that define one or more communities of network-connected devices. A community of network-connected devices includes network-connected devices that share common functional, physical or relational attributes. Information is stored that indicates the one or more communities of which each of the one or more of the plurality of network-connected devices is a member based on the policies that define the one or more communities and functional, physical or relational attributes of the one or more of the plurality of network-connected devices.

    Abstract translation: 这里提出的是用于自动创建网络连接设备的社区的技术,即互联网(IoT)设备。 基于定义一个或多个网络连接设备社区的一个或多个策略来识别多个网络连接设备中的一个或多个。 网络连接设备的社区包括共享功能,物理或关系属性的网络连接设备。 存储信息,其指示基于定义一个或多个社区的策略以及所述一个或多个网络连接设备中的一个或多个网络连接设备的功能,物理或关系属性的一个或多个社区 或更多个网络连接的设备。

    COLLABORATIVE TELEMETRY ENGINEERING
    6.
    发明公开

    公开(公告)号:US20240146659A1

    公开(公告)日:2024-05-02

    申请号:US17977740

    申请日:2022-10-31

    CPC classification number: H04L47/16 H04L41/06 H04L41/16 H04L43/0876

    Abstract: Methods are provided for a collaborative, decentralized insight engineering based on exchanging telemetry vectors with peer network devices. Each network device independently detects a deviation in its functioning using machine learning of generated feature vectors. Specifically, the methods involve obtaining, from at least one peer network device, at least a first feature vector that represents at least one insight generated from telemetry data of a respective peer network device. The intermediate network device and the at least one peer network device are configured to forward packets of a traffic flow. The methods further involve determining whether a deviation related to one or more of the network devices, exists based at least on the first feature vector and performing the at least one predefined action based on determining that the deviation exists.

    IDENTIFICATION AND LOGGING OF CONVERSATIONS USING MACHINE LEARNING

    公开(公告)号:US20190280996A1

    公开(公告)日:2019-09-12

    申请号:US15916422

    申请日:2018-03-09

    Abstract: In one embodiment, a processor receives data indicative of a plurality of conversations involving a primary user. The processor identifies a subset of the plurality of conversations that are regarding a particular topic. The processor adds a conversation to the subset based on a match between one or more keywords in the conversation matching a list of keywords associated with the particular topic. The processor uses a machine learning-based model to identify one or more context characteristics of the conversations in the identified subset. The processor updates the subset of conversations by adding at least one of the conversations to the subset based on the at least one conversation having at least one context characteristic identified by the machine learning-based model. The processor provides data indicative of the updated subset of conversations to a user interface for review by the primary user.

    Automatic creation and management of a community of things for Internet of Things (IoT) applications

    公开(公告)号:US10476743B2

    公开(公告)日:2019-11-12

    申请号:US14512623

    申请日:2014-10-13

    Abstract: Presented herein are techniques for automatically creating communities of network-connected devices, i.e., Internet of Thing (IoT) devices. One or more of a plurality of network-connected devices are identified based on one or more policies that define one or more communities of network-connected devices. A community of network-connected devices includes network-connected devices that share common functional, physical or relational attributes. Information is stored that indicates the one or more communities of which each of the one or more of the plurality of network-connected devices is a member based on the policies that define the one or more communities and functional, physical or relational attributes of the one or more of the plurality of network-connected devices.

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