Abstract: A breast pump and method of manufacturing the breast pump are described. The breast pump includes a pair of pads configured to be applied to human breasts of a user, each of the pads containing sensors and actuators, a pressure generator configured to provide vacuum within a first predetermined range and compression within a second predetermined range to operate the actuators in each pad, a temperature control system, and an artificial intelligence (AI) control system configured to control, based on feedback from the sensors, the pressure generator to mimic intra-oral motion of an infant and the temperature control system.

Abstract: A grain mildew detection method and device based on a WiFi apparatus. The method includes the following steps: acquiring a WiFi signal which passes through a grain region, extracting channel state information (CSI) amplitude data from the WiFi signal, and acquiring grain statuses corresponding to the CSI amplitude data; establishing a neural network model, and training the neural network model by using the acquired CSI amplitude data and the grain statuses corresponding to the CSI amplitude data, to obtain an amplitude-status relationship model; and acquiring a WiFi signal which passes through a region in which grain to be detected is located, extracting CSI amplitude data from the WiFi signal which passes through the region in which the grain to be detected is located, and inputting the CSI amplitude data into the amplitude-status relationship model, to obtain a grain status of the grain to be detected.