Abstract: Provided are a display device and a method of manufacturing the same. The display device includes a pixel circuit including at least one thin-film transistor, an organic light-emitting diode electrically connected to the pixel circuit, and an insulating layer defining a pixel area for the organic light-emitting diode. The organic light-emitting diode includes a pixel electrode electrically connected to the pixel circuit, an opposite electrode opposite at least the pixel electrode, and an organic layer disposed between at least the pixel electrode and the opposite electrode and including at least an emission layer. The pixel electrode includes a first pixel electrode in contact with the organic layer, a reflective layer opposite the first pixel electrode and that reflects light from the emission layer, and a protective layer disposed between the first pixel electrode and the reflective layer and that protects the reflective layer.

Abstract: An embodiment fastener assembly for a vehicle includes a first member coupled to a vehicle trim and including a first coupling protrusion on a surface of the first member directed toward a panel and a second member coupled to the panel and including a second coupling protrusion on a surface of the second member directed toward the vehicle trim, the second coupling protrusion being coupled to the first coupling protrusion, wherein the first member and the second member are coupled to each other by coupling of the first coupling protrusion to the second coupling protrusion.

Abstract: A method of compressing and reconstructing a large amount of data using statistical analysis is provided. For a large amount of distribution data with respect to a relatively small number of entries having correlations, a correlation matrix and/or a factor loading matrix is obtained from the large amount of original data using a multivariate analysis and stored as compressed data. Data having the format and tendency of the original data is reconstructed using the factor loading matrix and a random-number matrix. Accordingly, data can be compressed to a predetermined capacity and then reconstructed regardless of the amount of data, advantageously allowing for efficient management of a large amount of data.

Abstract: A method of compressing and reconstructing a large amount of data using statistical analysis is provided. For a large amount of distribution data with respect to a relatively small number of entries having correlations, a correlation matrix and/or a factor loading matrix is obtained from the large amount of original data using a multivariate analysis and stored as compressed data. Data having the format and tendency of the original data is reconstructed using the factor loading matrix and a random-number matrix. Accordingly, data can be compressed to a predetermined capacity and then reconstructed regardless of the amount of data, advantageously allowing for efficient management of a large amount of data.