DETERMINATION APPARATUS, DETERMINATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

    公开(公告)号:US20230376565A1

    公开(公告)日:2023-11-23

    申请号:US18314122

    申请日:2023-05-08

    CPC classification number: G06F17/40 G06F3/0679 G06F2201/835

    Abstract: Provided is a determination apparatus including a planning data acquisition unit configured to acquire planning data representing a logging plan for logging of standing timber for a target area, a first image data acquisition unit configured to acquire first image data representing a first image captured before the logging for the target area, a second image data acquisition unit configured to acquire second image data representing a second image captured after the logging for the target area, a determination unit configured to perform a determination on whether the logging is appropriate or inappropriate based on the planning data, the first image data, and the second image data, and an output unit configured to perform an output according to a result of the determination.

    HANDLING DATA GAPS IN SEQUENTIAL DATA
    4.
    发明公开

    公开(公告)号:US20230359542A1

    公开(公告)日:2023-11-09

    申请号:US17662083

    申请日:2022-05-05

    CPC classification number: G06F11/3447 G06K9/6267 G06F2201/805 G06F2201/835

    Abstract: A method, a computer program product, and a computer system handle a data gap in sequential data. The method includes receiving the sequential data for a period of time. The method includes selecting the data gap in the sequential data at a timestamp. The method includes determining a sliding window associated with the data gap based on the timestamp for a duration of time. The sliding window includes dependent data from which the data gap depends. The method includes, as a result of the dependent data of the sliding window including at least one window data gap, generating extracted patterns based on the dependent data to mask the at least one window data gap. The method includes determining a prediction to fill the data gap using a prediction model that takes as input modified data based on the dependent data and the extracted patterns.

    TRANSFERRING OBJECTS BETWEEN DIFFERENT STORAGE DEVICES BASED ON TIMESTAMPS

    公开(公告)号:US20190213172A1

    公开(公告)日:2019-07-11

    申请号:US16357302

    申请日:2019-03-18

    Applicant: Red Hat, Inc.

    CPC classification number: G06F16/178 G06F11/2094 G06F16/275 G06F2201/835

    Abstract: A method includes receiving, by a first computing device of a distributed file system from a second computing device, a first timestamp associated with a first version of a set of objects stored on the second computing device, the first timestamp corresponding to a modification time of the first version of the set of objects, or a first transfer time of the first version of the set of objects from at least one of the first computing device or a third computing device of the distributed file system to the second computing device. The method also includes identifying a second version of the set of objects stored on the first computing device, the second version of the set of objects having a second timestamp, the second timestamp corresponding to a modification time of the second version of the set of objects or a second transfer time. The method further includes transferring the second version of the set of objects to the second computing device to be stored on the second computing device.

    SYSTEM AND METHOD FOR RECORDING THE BEGINNING AND ENDING OF JOB LEVEL ACTIVITY IN A MAINFRAME COMPUTING ENVIRONMENT

    公开(公告)号:US20190196930A1

    公开(公告)日:2019-06-27

    申请号:US16291495

    申请日:2019-03-04

    Applicant: Teracloud SA

    Inventor: Paul J. Eckert

    Abstract: A system writes to a replicated direct access storage device (DASD) a record of each step within a job as each step begins and as each step completes. The records are maintained on the replicated DASD for a predetermined period of time. The predetermined period of time is, for example, the greatest amount of lag in replication of all storage systems operating within the system. The records are stored, for example, in an open jobs and datasets (OJD) file, where the file itself is a dataset. The dataset is written to by an online task (e.g., OJDSTC) which gathers input from two sources. Upon job completion, the records are stored, for example, in an OJD journal and removed from the OJD file.

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