The sensory stimulation of a cosmetic product has been deemed to be an ancillary aspect until a decade ago. That point of view has drastically changed on different levels in just a decade. Nowadays cosmetic formulators should unavoidably meet the needs of consumers who want sensory satisfaction, although they do not have much time for new product development. The selection of new products from candidate products largely depend on the panel of human sensory experts. As new product development cycle time decreases, the formulators wanted to find systematic tools that are required to filter candidate products into a short list. Traditional statistical analysis on most physical property tests for the products including tribology tests and rheology tests, do not give any sound foundation for filtering candidate products. In this paper, we suggest a deep learning-based analysis method to identify hand cream products by raw electric signals from tribological sliding test. We compare the result of the deep learning-based method using raw data as input with the results of several machine learning-based analysis methods using manually extracted features as input. Among them, ResNet that is a deep learning model proved to be the best method to identify hand cream used in the test. According to our search in the scientific reported papers, this is the first attempt for predicting test cosmetic product with only raw time-series friction data without any manual feature extraction. Automatic product identification capability without manually extracted features can be used to narrow down the list of the newly developed candidate products.

In this study, the artistic background and formative nature of representative 19th century realist artists Gustave Courbet and Honoré Daumier were analyzed and applied in a fashion context. By displaying representational desires (necessary adhesions of man and society) in their work, they became characteristic matrixes of critical realism and to perceive critical realism. The purpose of the study was to apply the characteristics of critical realism to the contemporary fashion collections of Alexander McQueen. Research was conducted to analyze the characteristics that appear in the field of fashion and to review methods of expression and internal aesthetics displayed through various aspects of fashion design. Characteristics of critical realism were analyzed by researching the formativeness and periodical background of the paintings of Courbet and Daumier. Based on these characteristics, analysis was conducted to identify critical realism in the fashion collections of Alexander McQueen. Data and scope included fashion information sites, internet photo data, and video material. Critical realist characteristics were categorized into five types as follows: ‘The proper borrowing of extremely realistic subjects signifies’, ‘satirical reconstruction and narrative composition’, ‘antipathetic distortions and abject representations’, ‘critical reproductions based on technology’, and ‘the maximization of ambivalent sexuality’. It was concluded that the characteristics of critical realism (recognized by the common formation of Courbet and Daumier) also appeared in Alexander McQueen's fashion collection but were inherited in a form that transcended pictorial expression due to the overall difference in use of visual arts.