SYSTEM FOR DISPLAYING AND METHOD FOR CALCULATING MONITORING-POINT STATE

    公开(公告)号:US20240354685A1

    公开(公告)日:2024-10-24

    申请号:US18762411

    申请日:2024-07-02

    CPC classification number: G06Q10/06393 G06Q50/10

    Abstract: A system for displaying a monitoring-point state on software and a method for calculating the monitoring-point state, based on determination by on an Internet of Things sensor on whether termites exist or not are provided in the disclosure. The system includes an initial state block, a termite-existing state block, an in-killing state block, a killing-complete state block, an off-line state block, a lost state block and a shifting state block. The method includes determining whether termite exists according to a signal sent by a monitoring point so as to calculate a number of monitoring points in a termite-existing state or an initial state, and determining whether proper handling is performed according to received handling information to calculate a number of monitoring points in an in-killing state. The disclosure uses the Internet of Things sensor and information technology to accurately and completely display the different states of respective monitoring points.

    DISTRIBUTION-BASED SUPERVISED APPROACH FOR PEER BENCHMARKING

    公开(公告)号:US20240354683A1

    公开(公告)日:2024-10-24

    申请号:US18137373

    申请日:2023-04-20

    Applicant: Intuit, Inc.

    CPC classification number: G06Q10/06393

    Abstract: Certain aspects of the disclosure provide a method of benchmarking a target entity. The method generally includes, for each respective entity characteristic in a set of entity characteristics and starting with a first entity characteristic: determining a wide distribution comprising dissimilarity metric values associated with the respective entity characteristic and measured between the target entity and each entity in a current set of entities; determining subsets of entities within the current set of entities; for each respective subset: determining a narrow distribution comprising dissimilarity metric values associated with the respective entity characteristic and measured between the target entity and each entity in the respective subset; resetting the current set of entities to include only a subset of entities in the subsets of entities having a highest benchmark score; and determining benchmark data for the target entity based on the current set of entities.

    OPTIMIZING USER RESEARCH AND OBJECT STRUCTURE OF WORKFLOWS

    公开(公告)号:US20240330829A1

    公开(公告)日:2024-10-03

    申请号:US18194365

    申请日:2023-03-31

    CPC classification number: G06Q10/06393 G06Q10/0633

    Abstract: Optimizing a user experience (UX) through improved efficiency of UX research includes using a processor to identify a candidate object, associated with parameters, for research. A current state of the candidate object is assessed by the processor based on the parameters. This assessment may include performing simulations, performed by the processor, on the candidate object using different combinations of the parameters. Research methods are selected, by the processor, from research method recommendations generated for the candidate object based on key performance indicators (KPIs) determined according to the assessment. Machine learning logic is executed by the processor to evaluate the research methods for the candidate object using a machine learning model, and the candidate object and/or research methods is/are modified by the processor based on output from the machine learning model.

    System and method for intelligent tracking of data

    公开(公告)号:US12106248B2

    公开(公告)日:2024-10-01

    申请号:US17150338

    申请日:2021-01-15

    CPC classification number: G06Q10/06393 G06Q10/06375 G06Q10/06398 G06Q10/105

    Abstract: Various methods, apparatuses/systems, and media for intelligent tracking of data are disclosed. A processor accesses a plurality of data sources that store data to be utilized for generating a single consolidated view data of resource information onto a display; determines, based on accessing the plurality of data sources, whether data discrepancies exist in terms of data quality and consistency across the plurality of data sources; automatically reconciles and normalizes the data to remove the discrepancies to enable standardized and accurate resource reporting onto the display; transmits the reconciled and normalized data to a processor for performing in-memory processing of the reconciled and normalized data; benchmarks the reconciled and normalized data against organizational goals and objective to generate benchmarked data; generates the single consolidated view data of resource information onto the display based on the benchmarked data; uncover meaningful and actionable insights; and provides optimized, actionable recommendations based on specific goals and priorities.

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