PREDICTION SYSTEM, PREDICTION METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20240013069A1

    公开(公告)日:2024-01-11

    申请号:US18134637

    申请日:2023-04-14

    CPC classification number: G06N5/022 G06Q10/02 G16H40/20

    Abstract: The prediction system stores a learned model that is machine-learned so as to input electronic medical record data in which information indicating the necessity of use of the medical device is described and on-loan device data indicating a loan result including a result of the medical device being lent and a result of the medical device being lent, and output an end time prediction result, using learning data including lending result data indicating a result of the medical device being lent and electronic medical record data in which information indicating the necessity of use of the medical device is described. The prediction system inputs, into the learned model, rented device data indicating the medical device being lent and electronic medical record data in which information indicating the necessity of use of the medical device is described, and acquires the end time prediction result.

    TRANSPORT SYSTEM, TRANSPORT CONTROL METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20240010240A1

    公开(公告)日:2024-01-11

    申请号:US18197762

    申请日:2023-05-16

    CPC classification number: B60W60/00256 G06Q10/0838 G06Q10/047 G06Q30/0645

    Abstract: The transportation system stores a learned model that is machine-learned so as to output a collection route that is collected by the mobile robot by inputting an end-of-use prediction result that is a result of predicting an end-of-use time of the device being lent, using learning data including collection result data indicating a collection result including a use end time at which the use of the device has ended and a collection completion time collected as a return product, and collection route data indicating a collection route collected by the mobile robot by using the device as a return product. The transport system inputs the end time prediction result to the learned model, acquires a collection route to be collected by the mobile robot using the equipment being lent as a returned item, and determines a mobile robot to be collected by the acquired collection route.

    PREDICTION SYSTEM, PREDICTION METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20240013045A1

    公开(公告)日:2024-01-11

    申请号:US18136010

    申请日:2023-04-18

    CPC classification number: G06N3/08 G16H40/20 G06Q10/02

    Abstract: The prediction system stores a learned model that is machine-learned so as to output a demand prediction result that is a prediction result of the demand of the medical device by inputting electronic medical record data in which information indicating the necessity of use of the medical device is described, using learning data including loan result data indicating a result of lending the medical device and electronic medical record data in which information indicating the necessity of use of the medical device is described. The prediction system acquires a demand prediction result by inputting the electronic medical record data into the learned model, and inputs an inventory prediction result which is a prediction result of the inventory of the medical device, compares the acquired demand prediction result with the input inventory prediction result, and notifies the medical device lending system when the demand exceeds the inventory.

    TRANSPORT SYSTEM
    4.
    发明公开
    TRANSPORT SYSTEM 审中-公开

    公开(公告)号:US20240343484A1

    公开(公告)日:2024-10-17

    申请号:US18438910

    申请日:2024-02-12

    Abstract: A transport system includes a carrier provided for placing a package to be transferred on a shelf or for transferring the package from the shelf, a transport robot on which the carrier is mounted and configured to move to transfer the package between the shelf and the carrier, a sensor unit provided to detect the presence or absence of the package on the shelf or the carrier, and a detection unit configured to detect an abnormality in transfer of the package according to a detection result of the sensor unit.

    INTERNAL COMBUSTION ENGINE
    5.
    发明公开

    公开(公告)号:US20230203998A1

    公开(公告)日:2023-06-29

    申请号:US18049354

    申请日:2022-10-25

    Inventor: Osamu TANIAI

    CPC classification number: F02D35/027 F02D41/3094

    Abstract: A control device for an internal combustion engine is configured to carry out a lean combustion of which excess air factor is 2.0 or more by injecting fuel for creating a homogeneous air-fuel mixture from a first fuel injection valve into a combustion chamber of an engine main body, injecting ignition fuel for creating an ignition air-fuel mixture near an electrode portion of a spark plug from a second fuel injection valve, and igniting the ignition air-fuel mixture, and when occurrence of knocking is detected based on a detection value of a knock sensor during the lean combustion, apply retard correction to each of an ignition timing of the spark plug and an injection timing of the ignition fuel set corresponding to an engine operating state, and apply increase correction to an injection amount of the ignition fuel.

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