Abstract: Disclosed is a machine learning-based air handler and a control method thereof, the control method including collecting first data on an air quality of air flowing into the air handler, controlling a purification part based on the first data, collecting second data on an air quality of air passing through the purification part, and controlling the purification part according to a machine-learning model generated based on a setting value related to a control of the purification part, the first data, and the second data.

Abstract: A keyless entry system for remotely controlling a door and a window of a vehicle includes: a remote control key that stores a plurality of function codes, selects a function code corresponding to an on-duration time of a lock switch or an on-duration time of an unlock switch, modulates the selected function code to a wireless signal, and transmits the wireless signal; and a receiving device that receives the wireless signal, demodulates the wireless signal into the function code, and outputs a door control signal or a window control signal according to the modulated function code, where the function code is divided into a basic function code field and a window function code field.

Abstract: A keyless entry system for remotely controlling a door and a window of a vehicle includes: a remote control key that stores a plurality of function codes, selects a function code corresponding to an on-duration time of a lock switch or an on-duration time of an unlock switch, modulates the selected function code to a wireless signal, and transmits the wireless signal; and a receiving device that receives the wireless signal, demodulates the wireless signal into the function code, and outputs a door control signal or a window control signal according to the modulated function code, where the function code is divided into a basic function code field and a window function code field.