Hyundai Motor Company

Kia Motors Corporation

Awexome Ray, Inc.

Gi Hoon Yoon

Se Hoon Gihm

Hong Soo Choi

Jun Young Choi

Sung Hyun Bae

Kyong Ho Shon

Nam Kyu Lee

Chang Hyun Kim

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.

Machine learning-based air handler and control method thereof

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.

Keyless entry system and control method for the same

Growing community of inventors

Seoul, South Korea

Gi Hoon Yoon