Abstract: An electronic device and operating method for removing a noise of an image are disclosed. A method of operating an electronic device includes generating a common input including an initial image and geometry buffer (G-buffer) images rendered according to a view point of a current frame, generating a third input and a fourth input based on a first input and a second input, determining a bandwidth for filtering noise of the initial image based on the common input and one of the third input and the fourth input, and outputting a target image obtained by removing noise from the initial image of the current frame based on the common input, the third input, the fourth input, and the bandwidth.

Abstract: Provided is an impedance spectroscopy analytical method for concrete using machine learning. The method comprises identifying electrical flow through moisture and a conductive ion present in concrete using a node that measures electricity based on electrochemical impedance spectroscopy (EIS); generating a theoretical equivalent circuit model comprising a conductive path reflecting the electrical flow: normalizing an equivalent circuit reflecting a concrete microstructure based on an impedance experiment using the theoretical equivalent circuit model; and generating a predictive model for estimating a water and cement ratio from a parameter value of the equivalent circuit through machine learning. Accordingly, the accuracy and reliability of estimating the microstructure and mixing ratio of the cement-based material can be increased.

Abstract: A product assortment system includes a crawler obtaining product information from one or more domains and storing the product information in a database. A user interface determines one or more product categories associated with one or more products of a customer. A keyword module determines criteria for associating one or more products of one or more competitors with the product categories. The user interface generates a display indicating overlap of the one or more products of the customer with the one or more products of the competitors.

Abstract: A product assortment system includes a crawler obtaining product information from one or more domains and storing the product information in a database. A user interface determines one or more product categories associated with one or more products of a customer. A keyword module determines criteria for associating one or more products of one or more competitors with the product categories. The user interface generates a display indicating overlap of the one or more products of the customer with the one or more products of the competitors.