Abstract: [PROBLEM] To provide a hopper filling amount management system capable of easily and accurately determining a filling amount within a hopper. [SOLVING MEANS]A hopper filling amount management system according to an embodiment manages a filling amount of garbage within a hopper (H) configured to receive the garbage loaded by a crane (C). The hopper filling amount management system includes an imaging apparatus (P) configured to capture images of the hopper (H), and a management apparatus (100) configured to calculate the filling amount based on the captured images output from the imaging apparatus (P).

Abstract: A cooperative learning system usable for process monitoring in which a monitoring model is provided for each of plural processes arranged in chronological order at predetermined transition time period intervals. The system stores, in chronological order, first monitoring data in a first process, second monitoring data in a second process, and at least one monitoring result from the first process output from a first monitoring model using the first monitoring data as an input parameter. The system performs parent model learning processing for the first monitoring model using the first monitoring data and the monitoring result from the first monitoring model, and performs child model learning processing for a second monitoring model using a monitoring result from the first monitoring model at a first time as teacher data and using the second monitoring data at a second time shifted from the first time by a transition period as an input parameter.

Abstract: A cooperative learning system usable for process monitoring in which a monitoring model is provided for each of plural processes arranged in chronological order at predetermined transition time period intervals. The system stores, in chronological order, first monitoring data in a first process, second monitoring data in a second process, and at least one monitoring result from the first process output from a first monitoring model using the first monitoring data as an input parameter. The system performs parent model learning processing for the first monitoring model using the first monitoring data and the monitoring result from the first monitoring model, and performs child model learning processing for a second monitoring model using a monitoring result from the first monitoring model at a first time as teacher data and using the second monitoring data at a second time shifted from the first time by a transition period as an input parameter.