Korea Institute of Science and Technology

Kyungpook National University Industry-academic Cooperation Foundation

Korea Meteorological Administration

Euna Park

Oh-Seung Kwon

Young-woo Kwon

Yong-Ho Huh

Jangsoo Lee

Eui-hong Hwang

Heesoo Pyo

Jae-Kwang Ahn

Provided are a device, method, and computer-readable recording medium for detecting an earthquake in a microelectromechanical system (MEMS)-based auxiliary seismic observation network. The method includes performing detrending of removing a moving average from original acceleration data received from single sensors of an MEMS-based auxiliary seismic observation network to preprocess the acceleration data, calculating a short-term average/long-term average (STA/LTA) value using a filter parameter value specified on the basis of the preprocessed acceleration data, generating an event occurrence message or event end message on the basis of the calculated STA/LTA value and transmitting the event occurrence message or event end message, when the event occurrence message is generated, calculating an earthquake probability through an earthquake detection deep learning model using the preprocessed acceleration data as an input, and analyzing noise by calculating a power spectral density (PSD) from the original acceleration data which is merged at certain intervals.

Device, method and computer-readable recording medium for detecting earthquake in mems-based auxiliary seismic observation network

The present invention relates to a method for searching myelin using gonadotropin-releasing hormone receptors (GnRH-R) as a biomarker, more precisely, a method for investigating the distribution of myelin by immunohistochemical staining using GnRH-R antibody, based on the fact that GnRH-R and myelin are observed in the same region. The method for searching myelin of the invention can contribute to the studies on demyelination related degenerative brain disease and the disclosure of functions of myelin and the relation of myelin and GnRH-R.

Method for searching myelin using gonadotropin-releasing hormone receptors as a new biomarker

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Seoul, South Korea

Euna Park