Computer system and data processing method

A data processing method of predicting a first motion time of a target wave through use of time-series data, which is executed by a computer system,

• the computer system comprising at least one computer including an arithmetic unit and a storage device coupled to the arithmetic unit,
• the computer system being configured to manage model information for defining a U-Net configured to execute, on input time-series data, an encoding operation for extracting a feature map relating to the target wave through use of a plurality of downsampling blocks and a decoding operation for outputting data for predicting the first motion time of the target wave through use of a plurality of upsampling blocks,
• the data processing method including:
• a first step of receiving, by the at least one computer, input of the time-series data;
• and
• a second step of executing, by the at least one computer, the encoding operation and the decoding operation on the input time-series data through use of the model information,
• wherein the plurality of downsampling blocks and the plurality of upsampling blocks each includes at least one residual block,
• wherein the at least one residual block included in any one of the plurality of downsampling blocks and the plurality of upsampling blocks includes a time attention block configured to calculate a time attention for emphasizing a specific time domain in the feature map, and
• wherein the time attention block includes an arithmetic operation for calculating a plurality of attentions different in time width, and calculating the feature map to which the time attention is added through use of the plurality of attentions.