Gwangju Institute of Science and Technology

Eui Seok Hwang

Jun Ho Song

Seung Nam Han

E Den Kim

Yong Gu Lee

Sung Ho Jeong

Sung Ho Shin

Seung Wook Yoon

The present invention relates to an autoencoder-based encryption key generation technique, and more particularly, to a signal transmission apparatus, a signal reception apparatus, a signal transmission method, and a signal reception method in an autoencoder-based encryption key generation system, wherein an encryption key with enhanced security may be generated on the basis of an autoencoder.

Signal transmission apparatus, signal reception apparatus, signal transmission method, and signal reception method in autoencoder-based encryption key generation system

The present invention relates to a PUF-based IoT device authentication technique, and more specifically, to a PUF-based IoT device using channel state information, and an authentication method thereof. According to an embodiment of the present invention, security of an authentication key may be strengthened by simultaneously utilizing a PUF-based authentication method and an RF characteristic-based authentication method.

PUF-based IoT device using channel state information, and authentication method thereof

Disclosed is an operating method of a metal sorting system using laser induced breakdown spectroscopy (LIBS), which may include: analyzing a metal component distribution for various metals using LIBS library information; setting multiple clusters according to the metal component distribution; performing first regression component analysis with respect to spectral data of a metal sample; calculating a probability that the spectral data will belong to each of the set multiple clusters using the first regress component analysis result; performing second regression component analysis with respect to the spectral data which belong to each cluster; and discriminating a type of metal sample by a weighted sum of the calculated probability and the second regression component analysis result.

Metal sorting system using laser induced breakdown spectroscopy and operating method thereof

A first electronic device according to various embodiments may select one of a plurality of representation matrices and one of a plurality of measurement matrices on the basis of a pattern and/or feature of data received from a sensor. The selection of the representation matrix and the measurement matrix may be performed on the basis of machine learning. Based on the selected representation matrix and measurement matrix, the first electronic device may adaptively compress at least a portion of the data. A second electronic device according to various embodiments may restore compressed data on the basis of the result of selecting the representation matrix and the measurement matrix. By dynamically selecting the representation matrix and the measurement matrix on the basis of machine learning, it is possible to reduce an error in the data restored by the second electronic device (e.g., a restoration error).

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Gwangju, South Korea

Eui Seok Hwang