Dynamic cue generation for language learning

    公开(公告)号:US12198576B2

    公开(公告)日:2025-01-14

    申请号:US17653905

    申请日:2022-03-08

    Abstract: A method, system, and computer program product for dynamic cue generation for language learning are provided. The method identifies one or more listener actions for a listener engaged in listening learning. Based on the one or more listener actions, a language level of the listener is determined. A set of prompt metrics are generated based on the language level and the one or more listener actions. A set of audio stream levels is generated based on the set of prompt metrics. The method selects an audio stream level for a listening prompt, where the audio stream level is selected from the set of audio stream levels based on the language level of the listener.

    Cloud affinity based on evaluation of static and dynamic workload characteristics

    公开(公告)号:US11928513B1

    公开(公告)日:2024-03-12

    申请号:US18089750

    申请日:2022-12-28

    CPC classification number: G06F9/5033 G06F9/3836 G06F9/505

    Abstract: Mechanisms are provided for scheduling a workload in a cloud computing system. A cloud affinity factor (CAF) computer model is trained, via a machine learning process based on a training dataset comprising static characteristics of a workload binary for a workload, and dynamic characteristics corresponding to historical performance data for the workload, such that the trained CAF computer model predicts a performance classification for a given workload binary. The trained CAF computer model processes a new workload to generate a performance classification for the new workload. Cloud affinity factor(s) are generated based on the performance classification for the new workload. Node affinity and dispatch rule(s) are applied to the cloud affinity factor(s) to select one or more nodes of the cloud computing system to which to dispatch the workload. The workload is then scheduled on the selected one or more nodes.

    UTILIZING A STRUCTURED AUDIT LOG FOR IMPROVING ACCURACY AND EFFICIENCY OF DATABASE AUDITING

    公开(公告)号:US20230315715A1

    公开(公告)日:2023-10-05

    申请号:US17708440

    申请日:2022-03-30

    CPC classification number: G06F16/2365

    Abstract: A computer-implemented method, system and computer program product for improving accuracy and efficiency of auditing databases. A table, list or index of a database is analyzed to identify metadata, which includes time series data, user data, an Internet Protocol address and operation data. The identified metadata is associated with the corresponding record or row of the table, list or index from which the metadata was extracted. A determination is then made as to whether to record a raw data image associated with the record or row of the analyzed table, list or index based on the corresponding data operation. The identified metadata as well as the recorded data images, if any, are stored in a structured audit log. Auditing information is then obtained from a structured audit log based on matching the record or row identifier (RID) associated with the query with the RID associated with the structured audit log.

    DYNAMIC CUE GENERATION FOR LANGUAGE LEARNING
    16.
    发明公开

    公开(公告)号:US20230290261A1

    公开(公告)日:2023-09-14

    申请号:US17653905

    申请日:2022-03-08

    CPC classification number: G09B7/04 G09B19/06

    Abstract: A method, system, and computer program product for dynamic cue generation for language learning are provided. The method identifies one or more listener actions for a listener engaged in listening learning. Based on the one or more listener actions, a language level of the listener is determined. A set of prompt metrics are generated based on the language level and the one or more listener actions. A set of audio stream levels is generated based on the set of prompt metrics. The method selects an audio stream level for a listening prompt, where the audio stream level is selected from the set of audio stream levels based on the language level of the listener.

    PROXIMITY POSITIONING
    17.
    发明申请

    公开(公告)号:US20220116739A1

    公开(公告)日:2022-04-14

    申请号:US17068862

    申请日:2020-10-13

    Abstract: Software for proximity positioning that performs the following operations: (i) receiving at least one parameter via an advertising channel of a first protocol, wherein the at least one parameter is encoded in an advertising packet of the first protocol, and wherein the first protocol supports a first proximity positioning technology; (ii) extracting the encoded at least one parameter from the advertising packet; and (iii) performing, by a second proximity positioning technology different from the first proximity positioning technology, a measurement of distance based, at least in part, on the at least one parameter.

    DYNAMIC TUNING OF PRE-INITIALIZATION ENVIRONMENT PROVISIONING AND MANAGEMENT

    公开(公告)号:US20250036468A1

    公开(公告)日:2025-01-30

    申请号:US18225420

    申请日:2023-07-24

    Abstract: The illustrative embodiments provide for dynamic tuning of pre-initialization environment provisioning and management. An embodiment includes accepting a request from a group of applications to generate a performance-based index table for a workload based on a feature of the applications and generating the performance-based index table. The embodiment includes building a label feature by analyzing a static program feature of the applications and the performance-based index table. The embodiment includes constructing, using clustering algorithms, a model for provisioning a pre-initialization environment using the label features. The embodiment includes loading the applications into a pre-initialization environment. The embodiment includes introducing a selection policy for a switch in the pre-initialization environment in multiple applications to balance usage of a resource. The embodiment includes updating input to the model in response to monitoring a traffic of requests and collecting real time runtime data of the workload.

    REFINING DIGITAL TWIN TO IMPROVE PHYSICAL ENTITY

    公开(公告)号:US20240428077A1

    公开(公告)日:2024-12-26

    申请号:US18337501

    申请日:2023-06-20

    Abstract: A method, computer system, and a computer program product for digital twin usage are provided. A first digital twin and performance data of the first digital twin are input into a first machine learning model to produce a second digital twin. The first machine learning model performs neural network-based data clustering. The first and second digital twins digitally represent a first physical entity. The second digital twin includes one or more changes from the first digital twin. Performance data of the second digital twin is analyzed. In response to the analysis indicating a problem with the second digital twin, implementation of the second digital twin is revoked and the first digital twin is reimplemented

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