COMPUTER-READABLE RECORDING MEDIUM STORING SAMPLING PROGRAM, SAMPLING METHOD, AND INFORMATION PROCESSING APPARATUS

    公开(公告)号:US20240119118A1

    公开(公告)日:2024-04-11

    申请号:US18353243

    申请日:2023-07-17

    申请人: Fujitsu Limited

    发明人: Yuma ICHIKAWA

    IPC分类号: G06F17/18

    CPC分类号: G06F17/18

    摘要: A non-transitory computer-readable recording medium stores a program for causing a computer to execute a sampling process including: converting first data in a latent space into second data in a data space by using a machine learning model that has the latent space transformable into an isometric space with same probability distribution as the data space according to a predetermined transformation rule; determining whether or not to accept the second data as a transition state in a Markov chain Monte Carlo method from an accepted first sample in the data space with an acceptance probability based on the transformation rule; and outputting the second data as a second sample of the transition state from the first sample when the second data is determined to be accepted.

    System and method for recommending repeat-purchase products using modified self-similarity

    公开(公告)号:US11948180B2

    公开(公告)日:2024-04-02

    申请号:US17393598

    申请日:2021-08-04

    发明人: Il Im Seok Yoon Suh

    摘要: Disclosed herein are a system and method for recommending repeat-purchase products using modified self-similarity. The system is operated by a computer in an environment in which user equipment (UE), a database, and a web server are connected over a network. The system includes: a user information reception unit configured to receive user information from the database when the UE connects with the web server; a modified self-similarity calculation unit configured to calculate a modified self-similarity (MSS) using the user information received by the user information reception unit; a similarity calculation unit configured to calculate the sums of similarities between products by substituting the modified self-similarity, calculated by the modified self-similarity calculation unit, into an inter-product similarity calculation matrix; and a product recommendation unit configured to align the sums of similarities between products calculated by the similarity calculation unit and to transmit product information fulfilling preset criteria to the UE.

    Method and system for analyzing error of measurement domain based on single load jump, and storage medium

    公开(公告)号:US11947624B2

    公开(公告)日:2024-04-02

    申请号:US17794257

    申请日:2020-11-23

    IPC分类号: G06F17/18 G01R35/04

    CPC分类号: G06F17/18 G01R35/04

    摘要: A method and system for analyzing the error of a measurement domain based on a single load jump and a computer-readable storage medium are provided. According to the method and the system, high-density measurement is performed on the load of a master meter and sub-meters in a measurement domain for a long time to obtain massive load data. After that, based on a single load jump, a load measurement difference of the master meter before and after the jump, and a load measurement difference of a jumping sub-meter before and after the jump are obtained. The error deviation degree of the jumping sub-meter relative to the master meter is uniquely defined. After statistical data of error deviation degrees of all the sub-meters relative to the master meter is obtained, error analysis is performed on the whole measurement domain based on the statistical data.

    Information processing device, information processing method, and computer program product

    公开(公告)号:US11947623B2

    公开(公告)日:2024-04-02

    申请号:US17186261

    申请日:2021-02-26

    IPC分类号: G06F17/18 G06F3/14 G06N20/00

    CPC分类号: G06F17/18 G06F3/14 G06N20/00

    摘要: An information processing device according to an embodiment estimates a probability distribution of a maximum value or a minimum value of time-series target sensor data in a designated estimation period after a base time. The information processing device includes one or more hardware processors that: calculate a reference feature amount representing a feature of related sensor data at a reference time before the base time based on a preset feature amount calculation model; estimate a reference distribution parameter in a reference period based on a preset parameter estimation model; update the feature amount calculation model and the parameter estimation model; calculate an estimation feature amount representing the feature of related sensor data at the base time based on the updated feature amount calculation model; and estimate an estimation distribution parameter based on the updated parameter estimation model.

    Performance based condition monitoring

    公开(公告)号:US11939859B2

    公开(公告)日:2024-03-26

    申请号:US16753073

    申请日:2018-10-02

    摘要: Systems and methods for utilizing performance based condition monitoring to determine health condition of wellsite equipment. A method may include operating a piece of equipment at an oil and gas wellsite by performing a plurality actions by a component of the piece of equipment, and generating a plurality of sensor measurements, wherein each sensor measurement is indicative of a corresponding action. The method may further include receiving the plurality of sensor measurements by a processing system, calculating a condition indicator for each component based on a corresponding sensor measurement, recording each condition indicator over a period of time, and determining condition of the piece of equipment based on at least one of the condition indicators recorded over time.