DETERMINING INFLUENCE OF APPLICATIONS ON SYSTEM PERFORMANCE

    公开(公告)号:WO2022084791A1

    公开(公告)日:2022-04-28

    申请号:PCT/IB2021/059239

    申请日:2021-10-08

    Abstract: A computer-implemented method for determining influence of applications on system performance includes collecting, by a processor, for several applications that are executing on a computing system, respective instrumentation data during multiple time-segments. The method further includes determining, for each of the applications, a performance value and a robustness value for each of the time-segments based on the respective instrumentation data. Further, using the performance value and robustness value for each time-segment, multiple health-waveforms are generated, where a health-waveform is generated for each respective application. The method further includes determining, by the processor, an influence-factor of a first application on a second application, the first application and the second application are executing on the computing system. The method further includes adjusting, by the processor, allocation of a computer resource by releasing the computer resource from the first application and allocating the computer resource to the second application based on the influence-factor.

    PROTECTING SENSITIVE DATA IN DOCUMENTS
    153.
    发明申请

    公开(公告)号:WO2022064348A1

    公开(公告)日:2022-03-31

    申请号:PCT/IB2021/058567

    申请日:2021-09-21

    Abstract: In an approach, a processor receives a request of a document (201). A processor identifies a set of datasets comprising a sensitive dataset (203), the set of datasets being interrelated in accordance with a relational model. A processor extracts attribute values of the document (205). A processor determines that a set of one or more attribute values of the extracted attribute values is in the set of datasets (207), the set of attribute values being values of a set of attributes. A processor determines that one or more entities of the sensitive dataset can be identified (209) based on relations of the relational model between the set of attributes, wherein at least part of attribute values of the one or more entities comprises sensitive information. A processor, responsive to determining that the one or more entities can be identified, masks at least part of the set of one or more attribute values in the document (211).

    SPEECH RECOGNITION USING DATA ANALYSIS AND DILATION OF INTERLACED AUDIO INPUT

    公开(公告)号:WO2022053900A1

    公开(公告)日:2022-03-17

    申请号:PCT/IB2021/057756

    申请日:2021-08-24

    Abstract: A computer-implement method for speech recognition comprises using dilation of speech content from an interlaced audio input for speech recognition. A learning model is initiated to determine dilation parameters for each of a plurality of audible sounds of speech content from a plurality of speakers received at a computer as an audio input (104). As part of the learning model, a change of each of a plurality of independent sounds is determined in response to an audio stimulus, the independent sounds being derived from the audio input (108). The method applies the dilation parameters, respectively, based on the change of each of the independent sounds (112). A voice print is constructed for each of the speakers based on the independent sounds and the dilation parameters, respectively (116). Speech content is attributed to each of the plurality of speakers based at least in part on the voice print, respectively, and the independent sounds (120)

    PERFORMING DIAGNOSTIC ASSESSMENTS
    159.
    发明申请

    公开(公告)号:WO2022038438A1

    公开(公告)日:2022-02-24

    申请号:PCT/IB2021/056841

    申请日:2021-07-28

    Abstract: A computer-implemented methods for performing a diagnostic assessment. The method may include receiving image data of a current screening image, prior screening image, current diagnostic image, or prior diagnostic image, each image corresponding to a view type. The method may include processing the image data using a trained model to determine first model output data; determining first diagnosis data associated with a first confidence score; determining patch data representing a difference between the prior screening image and the current screening image; identifying a location corresponding to the difference; and determining the patch data satisfies a condition. The method may further include receiving additional image data of diagnostic images corresponding to a second type of view, processing the addition image data to determine second model output data; and determining second diagnosis data associated with a confidence score greater than the first confidence score.

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