Awexome Ray, Inc.

Sung Hyun Bae

Se Hoon Gihm

Hong Soo Choi

Jun Young Choi

Chang Hyun Kim

Nam Kyu Lee

Gi Hoon Yoon

Hong Sue Choi

Ki Hoon Yoon

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

This application relates to a modular electrostatic precipitator. In one aspect, the modular electrostatic precipitator includes a housing providing a flow path through which air is moved and a charging module configured to emit electromagnetic waves to the air. The precipitator may also include a first attaching/detaching unit configured to attach and detach the charging module to and from the housing and a particle collecting module configured to collect particles in the air by applying an electrostatic force to the air. The precipitator may further include a second attaching and detaching unit configured to attach and detach the particle collecting module to and from the housing.

Modular electrostatic precipitator

An apparatus for irradiating a plant with electromagnetic waves includes a power supply, a first irradiator configured to receive electric power from the power supply and irradiate electromagnetic waves, and a controller configured to control the first irradiator to irradiate electromagnetic waves having a wavelength ranging 0.05 nm or more and 10 nm or less.

Apparatus for irradiating electromagnetic wave to plant and method thereof

Growing community of inventors

Seoul, South Korea

Sung Hyun Bae