COMPLEX ANALYSIS DATA MANAGEMENT SYSTEM, COMPLEX ANALYSIS DATA MANAGEMENT METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM

    公开(公告)号:US20230177195A1

    公开(公告)日:2023-06-08

    申请号:US17921969

    申请日:2021-03-24

    Abstract: The complex analysis database manages the analysis result data in association with each of the plurality of samples. A project-sample registering unit registers, in a project database, a respective one of a plurality of projects in association with one or more selected from the plurality of samples. A project-user registering unit registers, in the project database, a respective one of the plurality of projects in association with one or more selected from a plurality of users. The display control unit displays a project associated with the login user in a selectable manner on an information terminal operated by the login user. The display control unit extracts, from a complex analysis database, the analysis result data of a sample associated with the project selected by the login user and displays the extracted data on the information terminal.

    DATA PROCESSING METHOD, DATA PROCESSING APPARATUS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20240296203A1

    公开(公告)日:2024-09-05

    申请号:US18418004

    申请日:2024-01-19

    CPC classification number: G06F17/18

    Abstract: A data processing method according to one aspect of the present invention includes: a step of collecting an analysis file set including analysis data by an analyzer from a plurality of types of analyzers; a step of selecting a plurality of analysis file sets to be analyzed from the plurality of types of collected analysis file sets according to a narrowing-down condition received from a user; a step of extracting a plurality of features from each of the plurality of selected analysis file sets; a step of summarizing the plurality of features by performing statistical processing of the plurality of features; and a step of performing an analysis using the summarized features. The step of summarizing the plurality of features includes a step of presenting statistical information generated in the statistical processing to the user.

    DATA PROCESSING APPARATUS AND INFERENCE METHOD

    公开(公告)号:US20230033480A1

    公开(公告)日:2023-02-02

    申请号:US17857316

    申请日:2022-07-05

    Abstract: A data processing apparatus according to one aspect is provided with an inference unit configured to predict at least one objective variable from a plurality of explanatory variables by using a trained model, and a display data generation unit configured to generate data for displaying an inference result by the inference unit. The inference unit is configured to set a first explanatory variable selected from the plurality of explanatory variables as a variation value and set second explanatory variables other than the first explanatory variable as fixed values. The inference unit predicts, by using the trained model, the at least one objective variable when the first explanatory variable is continuously varied within a predetermined variation range. The display data generation unit generates data indicating a variation of the at least one objective variable with respect to a variation of the first explanatory variable.

    METHOD FOR GENERATING TEACHING DATA IN ANALYSIS DATA MANAGEMENT SYSTEM

    公开(公告)号:US20230186158A1

    公开(公告)日:2023-06-15

    申请号:US17926450

    申请日:2021-03-30

    CPC classification number: G06N20/00

    Abstract: For each of one or a plurality of types of samples, a database is constructed in which a sample identification tag and data belonging to at least two types of categories out of Categories (1), (2), and (3) are stored in association with each other. Data to be used as training data in supervised learning is selected from the database. At this time, one or a plurality of types of data is selected as an explanatory variable from one of the categories. Further, one or a plurality of types of data is selected as an objective variable from the other category. Then, training data is generated in which data corresponding to the selected explanatory variable is served as input and data corresponding to the selected objective variable is served as ground truth output. Category (1) is a plurality of types of samples relating to a production method of the sample, Category (2) is a plurality of types of samples acquired by analyzing a sample by one or a plurality of types of analyzers, and Category (3) is a plurality of types of physical property data that are information representing sample characteristics.

    DATA ANALYSIS APPARATUS, DATA ANALYSIS METHOD, METHOD OF GENERATING TRAINED MODEL, SYSTEM, AND PROGRAM

    公开(公告)号:US20230351161A1

    公开(公告)日:2023-11-02

    申请号:US18041758

    申请日:2021-05-21

    CPC classification number: G06N3/0464 G01N21/35 G01N2021/3595

    Abstract: A data analysis apparatus, a data analysis method, a method of generating a trained model, a system, and a program that allow highly accurate and easy analysis of an FT-IR spectrum are provided. The data analysis apparatus includes an obtaining unit that obtains an analysis target which is an FT-IR spectrum, a trained model, and an analyzer that inputs the analysis target to the trained model. The trained model is machine-trained so as to output, when the trained model receives input of an FT-IR spectrum, information indicating whether or not the inputted FT-IR spectrum includes a peak derived from a trained atomic group. The trained atomic group includes an atomic group containing at least three atoms.

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