Lg Electronics Inc.

Cj Cheiljedang Corporation

Hee Nam Yoon

Won Il Cho

Beom Oh Kim

Yu Ryang Pyun

Jun Bong Choi

Byoung Gon Lee

Moo Chang Kook

Seok Cheol Cho

Disclosed herein are a drowsy-driving prevention method and a drowsy-driving prevention system that execute artificial intelligence (AI) algorithms and/or machine learning algorithms in a 5G environment connected for Internet of Things in order to control a stimulation unit and a measurement unit. The drowsy-driving prevention method may include a stimulating step, a measuring step, and a determining step. A stimulation unit outputs a stimulus in order to stimulate a sensory organ of a driver, and then a measurement unit measures a biometric signal of the driver from the time when the stimulus is outputted. Upon determining that the biometric signal of the driver is not a response to the stimulus, the stimulation unit may output the stimulus again.

Drowsy-driving prevention method and drowsy-driving prevention system

Disclosed are a composition comprising an organic acid extract of Torilidis Fructus, which has a sterilization effect on spores of spore-forming microorganisms including fungi and bacteria, and a method of sterilizing spores and vegetative cells using the composition.

Compositions for sterilizing spores of spore-forming microorganisms comprising the extracts of torilidis fructus

Growing community of inventors

Seoul, South Korea

Hee Nam Yoon