CREATION METHOD, INFORMATION PROCESSING METHOD, STORAGE METHOD, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20240303591A1

    公开(公告)日:2024-09-12

    申请号:US17757999

    申请日:2021-08-20

    CPC classification number: G06Q10/087 G06Q2220/00

    Abstract: The present disclosure provides a creation method, an information processing method, a storage method, an electronic device and a storage medium. The creation method includes: acquiring a creation request for creating the supply chain management system, wherein the creation request contains a business information related to creating the supply chain management system; and creating the supply chain management system according to the business information and a blockchain basic architecture, in response to the creation request, wherein, the blockchain basic architecture includes an interface layer, a management layer, a core layer and a base layer, the supply chain management system includes a main chain system and a plurality of parallel chain systems connected to the main chain system, each of the parallel chain systems corresponds to a business scenario, and an information sharing between the plurality of parallel chain systems is achieved based on the main chain system.

    Data Processing Device and Method, and Computer Readable Storage Medium

    公开(公告)号:US20230067182A1

    公开(公告)日:2023-03-02

    申请号:US17252326

    申请日:2019-11-29

    Abstract: Provided is a data processing device and method, and a computer-readable storage medium. The data processing device includes a memory and a processor performing following operations based on instructions stored in the memory: extracting first data from a first data table in a relational factory database at a first extraction cycle a duration of which is greater than 1 minute, the first data including data updated by the factory during the first extraction cycle; storing the first data into a second data table of a distributed storage system to form second data; inserting the second data into a third data table of the distributed storage system to form third data after data integrating the second data; and calling data in the third data table for data analysis processing at a first analysis cycle a duration of which is not smaller than the duration of the first extraction cycle.

    IMAGE ANNOTATION METHOD, DEVICE AND SYSTEM

    公开(公告)号:US20220414859A1

    公开(公告)日:2022-12-29

    申请号:US17628364

    申请日:2021-03-26

    Abstract: An image marking method, apparatus and system, which relates to the technical field of image processing. The present disclosure includes, when the working mode of the first client is a first mode, receiving a first marking task assigned by a second client, on the condition that the image marking approach is the first marking approach, according to a neural network model, determining a first marking result corresponding to the first original image; on the condition that the image marking approach is the second marking approach, according to an unsupervised algorithm model, determining a second marking result corresponding to the first original image; on the condition that the image marking approach is the third marking approach, receiving a third marking result inputted by a user into the first original image; and sending a target marking result to the second client.

    Inference computing apparatus, model training apparatus, inference computing system

    公开(公告)号:US12236362B2

    公开(公告)日:2025-02-25

    申请号:US17044276

    申请日:2019-12-20

    Abstract: An inference computing apparatus comprises at least one processor and a memory with program instructions stored therein, the program instructions can be executed by the at least one processor to cause the inference computing apparatus to perform the following operations: receiving a first inference model from a model training apparatus, the first inference model being obtained through a model training by the model training apparatus based on a first training sample library, the first training sample library comprising training samples from historical data generated in a manufacturing stage; performing an inference computing on data to be processed generated in the manufacturing stage based on the first inference model to obtain the inference result which is sent to a user-side device; and evaluating performance of the first inference model to determine whether the first inference model needs to be updated, and if yes, updating the first inference model.

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