Abstract: A device and method for predicting exhaust emissions on the basis of data analysis is proposed. The method includes collecting, by a collection unit, raw data in real time from a power generation facility comprising a gas turbine, extracting, by a prediction unit, analysis data from the raw data, and predicting, by the prediction unit, the exhaust emissions to be emitted from the power generation facility a pre-derived delay time after the collecting of the raw data by analyzing the analysis data using a prediction model trained by learning.

Abstract: A method of detecting a radiographic object is proposed. The method includes receiving, by a feature processing module, an input of radiographic image obtained by irradiating a region containing a plurality of tubes including at least one target tube as a radiographic object and at least one untargeted tube that is not a radiographic object, extracting, by the feature processing module, feature values of extremal points from the radiographic image to detect feature vectors, and analyzing, by a detection module, the feature vectors using a training model to detect a region in the radiographic image where the at least one target tube as a radiographic object exists.