Abstract: A resolution converter includes a processor configured to select a super-resolution model corresponding to a capturing condition under which an image was generated, among a plurality of super-resolution models for improving resolution, the plurality of super-resolution models corresponding to different capturing conditions, and generate a high-resolution image having a higher resolution than the image by inputting the image into the selected super-resolution model.

Abstract: A predicting device, including a processor configured to: acquire displacement data that expresses a time series of displacements at respective points in time that are input to a vibration proofing member, and velocity data that expresses a time series of velocities at respective points in time that are input to the vibration proofing member; generate first load data of the vibration proofing member by inputting the acquired displacement data and velocity data into a model that is for inferring, from the displacement data and the velocity data, load data; generate second load data of the vibration proofing member by inputting the acquired displacement data and velocity data into a regression trained model that is for inferring, from the displacement data and the velocity data, load data; and infer load data relating to the vibration proofing member by adding together the generated first load data and the generated second load data.

Abstract: A pipeline includes a pipeline body in which fluid flows and a throttle formed at a specific position of the pipeline body as a flow passage sectional shape of the pipeline body is changed from that of a remaining portion of the pipeline body. The specific position at which the throttle is provided is a position in the pipeline body and corresponds to a position that serves as an abdominal part of the pipeline in a vibration mode where a resonance frequency is the closest to a pulsation frequency of pressure pulsation caused by the fluid.

Abstract: A predicting device, including a processor configured to: acquire displacement data that expresses a time series of displacements at respective points in time that are input to a vibration proofing member, and velocity data that expresses a time series of velocities at respective points in time that are input to the vibration proofing member; generate first load data of the vibration proofing member by inputting the acquired displacement data and velocity data into a model that is for inferring, from the displacement data and the velocity data, load data; generate second load data of the vibration proofing member by inputting the acquired displacement data and velocity data into a regression trained model that is for inferring, from the displacement data and the velocity data, load data; and infer load data relating to the vibration proofing member by adding together the generated first load data and the generated second load data.

Abstract: A pipeline includes a pipeline body in which fluid flows and a throttle formed at a specific position of the pipeline body as a flow passage sectional shape of the pipeline body is changed from that of a remaining portion of the pipeline body. The specific position at which the throttle is provided is a position in the pipeline body and corresponds to a position that serves as an abdominal part of the pipeline in a vibration mode where a resonance frequency is the closest to a pulsation frequency of pressure pulsation caused by the fluid.