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    Interaction tools in networked remote collaboration
    663.
    发明授权
    Interaction tools in networked remote collaboration 有权

    公开(公告)号：US11734886B1

    公开(公告)日：2023-08-22

    申请号：US17246254

    申请日：2021-04-30

    Applicant: SPLUNK INC.

    Inventor： Devin Bhushan ,  Caelin Thomas Jackson-King ,  Stanislav Yazhenskikh ,  Jim Jiaming Zhu

    IPC: G06T17/10 ,  G06T19/20

    CPC classification number: G06T17/10 ,  G06T19/20 ,  G06T2207/10028

    Abstract: In various embodiments, a method comprises generating, based on first sensor data captured by a depth sensor on a mobile device, three-dimensional data representing a physical space that includes a real-world asset, generating, based on second sensor data captured by an image sensor, two-dimensional data representing the physical space, generating an adaptable 3D representation of the physical space based on the three-dimensional and two-dimensional data, the adaptable representation including coordinates representing different positions in a 3D-coordinate space corresponding to the physical space and the coordinates encapsulate a digital representation of the asset, transforming the adaptable representation into geometry data comprising a set of vertices and a set of faces comprising edges between vertices, applying, based on a first input, a first color along a specified path that appears on a face to generate a first paint path, and transmitting, to a remote device, data corresponding to the first input.

    Efficient updating of journey instances detected within unstructured event data
    666.
    发明授权
    Efficient updating of journey instances detected within unstructured event data 有权

    公开(公告)号：US11726990B2

    公开(公告)日：2023-08-15

    申请号：US17451300

    申请日：2021-10-18

    Applicant: Splunk Inc.

    Inventor： Akash Dwivedi ,  Himanshu Gupta ,  Eric Tschetter

    IPC: G06F16/23 ,  G06F16/248 ,  G06F9/54 ,  G06F16/2458 ,  G06F16/25 ,  G06F16/22

    CPC classification number: G06F16/2379 ,  G06F9/54 ,  G06F16/221 ,  G06F16/248 ,  G06F16/2477 ,  G06F16/258

    Abstract: Systems and methods are disclosed for efficiently storing information identifying journey instances within unstructured event data of a data intake and processing system. Each journey instance is illustratively associated with a series of events within the unstructured event data occurring over a journey duration. Because the unstructured event data may be constantly updated, any given inspection of the event data may yield both complete and incomplete instances. Storage of instance data over time can require updating of prior incomplete journey instances with complete versions of such instance detected at a later point in time. However, a data store of the unstructured event data may be unsuited for such updating, as the store may maintain version information for deleted data to reduce possibility of data loss. To address this issue, a separate structured data store, such as a columnar time series data store, is provided to efficiently store instance information.

    Visualizing outliers from timestamped event data using machine learning-based models
    667.
    发明授权
    Visualizing outliers from timestamped event data using machine learning-based models 有权

    公开(公告)号：US11720824B1

    公开(公告)日：2023-08-08

    申请号：US17969538

    申请日：2022-10-19

    Applicant: Splunk Inc.

    Inventor： Iryna Vogler-Ivashchanka ,  Iman Makaremi

    IPC: G06N20/00 ,  G06F16/9038 ,  G06F17/18

    CPC classification number: G06N20/00 ,  G06F16/9038 ,  G06F17/18

    Abstract: Techniques are described for providing a machine learning (ML) data analytics application including guided ML workflows that facilitate the end-to-end training and use of various types of ML models, where such guided workflows may also be referred to as ML “experiments.” One such model is an outlier detection model to assist in the monitoring of computer network traffic and computer performance. For example, the ML data analytics application may generate an outlier detection model using user-identified data from a data source and parameter information. The generates outlier detection model can include distribution functions of distribution types selected from a plurality of distribution types by a distribution fitting algorithm.

    Virtual metrics
    668.
    发明授权
    Virtual metrics 有权

    公开(公告)号：US11720591B1

    公开(公告)日：2023-08-08

    申请号：US17390767

    申请日：2021-07-30

    Applicant: Splunk Inc.

    Inventor： Difan Zhao ,  Uday Sagar Shiramshetty ,  Paul Ingram

    IPC: G06F16/26 ,  G06F16/248 ,  G06F16/245

    CPC classification number: G06F16/26 ,  G06F16/245 ,  G06F16/248

    Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for visualizing performance data of infrastructure components. The method includes receiving a query through an application for a metric for an infrastructure component, the metric comprising metric time series (MTS) data. The method also includes identifying sources for the metric. The method also includes querying the identified sources for the metric. The method also includes selecting from the identified sources best available data for the metric based on a selection algorithm. The method also includes enriching the best available data comprising linking dimensions and properties from the identified sources to the best available data. The method also includes causing display of the enriched best available data through a user interface of the application.

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