SYSTEMS AND METHODS FOR DETECTING AND GROUPING ANOMALIES IN DATA

    公开(公告)号:US20200097852A1

    公开(公告)日:2020-03-26

    申请号:US16577699

    申请日:2019-09-20

    Abstract: The present disclosure generally relates to apparatus, software and methods for detecting anomalous elements in data. For example, the data can be any time series, such as but not limited to radio frequency data, temperature data, stock data, or production data. Each type of data may be susceptible to repeating phenomena that produce recognizable features of anomalous elements. In some embodiments, the features can be characterized as known patterns and used to train a machine learning model via supervised learning to recognize those features in a new data series.

    METHODS FOR TESTING CABLE MODEMS
    2.
    发明申请

    公开(公告)号:US20220029908A1

    公开(公告)日:2022-01-27

    申请号:US17492943

    申请日:2021-10-04

    Abstract: Methods, systems, and devices for wireless communications are described. A user may select a cable modem (CM) at a graphical user interface (GUI) of a network device for testing. The network device may receive the indication of a selected query from GUI and transmit the selected query to the CM. The network device may receive a response message from the CM and compare the response message to an expected response message. The network device may generate a report indicating a status of the CM based on the comparing. The status of the CM may relate to a compliance of the CM to a standard. Additionally or alternatively, the status of the CM may indicate a performance level of the CM.

    IDENTIFYING AND CLASSIFYING DISRUPTIONS AT TERMINAL DEVICES IN DATA TRANSFER NETWORKS

    公开(公告)号:US20200235833A1

    公开(公告)日:2020-07-23

    申请号:US16750982

    申请日:2020-01-23

    Abstract: Systems and methods for classifying interference in data signals received by a terminal device (or other end-user or endpoint device) transacting data in a data transfer network are disclosed. Embodiments include defining an array of signal quality metrics at the terminal device, where each signal quality metric is associated with a subcarrier of a data channel used to transfer data with the data transfer network. The array of signal quality metrics may be input to a classification model and the classification model may output a type, sources, and/or cause of disruptions such as interference identified in the signal quality data. In some cases, the output may include frequency characteristics such as a center frequency and/or bandwidth of the identified signal disruption. The terminal device may transmit a message to an upstream device of the data transfer network, which may indicate the identified interference.

    BANDWIDTH ALLOCATION METHOD AND ASSOCIATED OPTICAL LINE TERMINAL

    公开(公告)号:US20250007619A1

    公开(公告)日:2025-01-02

    申请号:US18886474

    申请日:2024-09-16

    Abstract: A method for allocating bandwidth to a first ONU, a second ONU, M1 ONUs, and M2 ONUs includes, during an allocation cycle, (i) granting a respective upstream time slot to, of a plurality of N ONUs, only each of the M1 ONUs, and (ii) granting a first upstream time slot to the first ONU. Each of the M1 ONUs and M2 ONUs is one of the plurality of N ONUs. The method also includes, during a subsequent cycle, (i) granting a respective upstream time slot to, of the plurality of N ONUs, only each of the M2 ONUs. The N ONUs includes a skipped-ONU that is one of either, and not both, the M1 ONUs and the M2 ONUs. The method includes, during the subsequent allocation cycle, granting a second upstream time slot to a second ONU, which is not one of the plurality of N ONUs.

    SYSTEMS AND METHODS FOR DETECTING AND CLASSIFYING ANOMALOUS FEATURES IN ONE-DIMENSIONAL DATA

    公开(公告)号:US20200097775A1

    公开(公告)日:2020-03-26

    申请号:US16577304

    申请日:2019-09-20

    Abstract: The present disclosure generally relates to apparatus, software and methods for detecting and classifying anomalous features in one-dimensional data. The apparatus, software and methods disclosed herein use a YOLO-type algorithm on one-dimensional data. For example, the data can be any one-dimensional data or time series, such as but not limited to be power over time data, signal to noise ratio (SNR) over time data, modulation error ratio (MER) data, full band capture data, radio frequency data, temperature data, stock data, or production data. Each type of data may be susceptible to repeating phenomena that produce recognizable anomalous features. In some embodiments, the features can be characterized or labeled as known phenomena and used to train a machine learning model via supervised learning to recognize those features in a new data series.

    METHODS FOR TESTING CABLE MODEMS
    7.
    发明申请

    公开(公告)号:US20190356572A1

    公开(公告)日:2019-11-21

    申请号:US16413434

    申请日:2019-05-15

    Abstract: Methods, systems, and devices for wireless communications are described. A user may select a cable modem (CM) at a graphical user interface (GUI) of a network device for testing. The network device may receive the indication of a selected query from GUI and transmit the selected query to the CM. The network device may receive a response message from the CM and compare the response message to an expected response message. The network device may generate a report indicating a status of the CM based on the comparing. The status of the CM may relate to a compliance of the CM to a standard. Additionally or alternatively, the status of the CM may indicate a performance level of the CM.

Patent Agency Ranking