Abstract: An industrialized protein production system using carbon-containing industrial gas includes a bacteria preparation system, a raw gas purification system, a water purification system, a bacteria separation system and a protein preparation system, wherein the bacteria preparation system is respectively communicated with the raw gas purification system, the water purification system and the bacteria separation system, and the protein preparation system is communicated with the bacteria separation system. By purifying the raw gas and the raw water and removing impurities from the raw gas and competing bacteria in the raw water, excellent raw materials and environment are provided for bacterial reproduction, which enable the raw gas to have high-efficiency fermentation, thereby increasing the yield of proteins.

Abstract: A method includes obtaining raw image data, where the raw image data includes data values each having most significant bits and least significant bits. The method also includes providing the raw image data to a trained machine learning model and generating processed image data using the trained machine learning model. The method further includes presenting an image based on the processed image data. The trained machine learning model is trained to modulate a feature map associated with the most significant bits of the data values of the raw image data based on the least significant bits of the data values of the raw image data in order to generate a fusion of the most significant bits and the least significant bits of the data values of the raw image data.