Abstract: A free motion headform (FMH) impact performance prediction device using artificial intelligence includes a data processing processor configured to generate an image by extracting a pre-processed test target image, generated by pre-processing test target design data, using a pre-trained model and generate a pre-processed test target distance value by pre-processing the test target design data. The FMH input performance prediction device also includes a machine learning processor configured to concatenate the image generated by extraction on the basis of the pre-trained model and the pre-processed test target distance value and to predict impact performance using a neural network in which parameters are updated by learning based on an image obtained by pre-processing existing design data and existing impact amount data corresponding to the existing design data. The FMH input performance prediction device further includes an output processor configured to output a value learned by the machine learning processor.

Abstract: Provided are a novel pseudoceramide compound and uses thereof. The pseudoceramide has antioxidant, anti-inflammatory, skin whitening, and moisturizing effects. In addition, the pseudoceramide can be synthesized in a simple and economically advantageous manner and is free from problems associated with the preparation of cosmetic formulations resulting from low hydrophilicity, thus being suitable for use in cosmetic applications.

Abstract: Provided are a novel pseudoceramide compound and uses thereof. The pseudoceramide has antioxidant, anti-inflammatory, skin whitening, and moisturizing effects. In addition, the pseudoceramide can be synthesized in a simple and economically advantageous manner and is free from problems associated with the preparation of cosmetic formulations resulting from low hydrophilicity, thus being suitable for use in cosmetic applications.