Seoul National University

Other

Suntech International Ltd.

Novmetapharma Co., Ltd.

Seung Hee Yang

Ji Eun Kim

Yong Kim

Heon Jong Lee

Hoe Yune Jung

Yon Su Kim

Do Hyun Lee

Sa Ram Lee

Mi Yeon Yu

Dong Ki Kim

The bioenvironmental simulation device according to an embodiment of the present invention includes at least one mounting unit on which cells to be measured are placed, a rotational force application unit configured to rotate the mounting unit so as to apply a rotational force to the cells to be measured placed on the mounting unit, and a culture liquid flow device through which a culture liquid flows across the mounting unit, wherein the culture liquid flows by the culture liquid flow device so as to apply a shear force to the cells to be measured.

Bioenvironmental simulation device and method

An unsupervised learning-based detection method according to one technical aspect of the present disclosure relates to an unsupervised learning-based detection method using a supervised-learned model, and includes: generating a first plurality of matrix data on the basis of driving data; generating encoding information by encoding the first plurality of matrix data using a convolutional neural network; modeling a time series feature of the encoding information by using a long short-term memory (LSTM) network, so as to derive a correlation between variables according to a time series; re-implementing a second plurality of matrix data through a deconvolution calculation of the correlation between the variables according to the time series; and determining whether the driving data corresponds to a pre-supervised learned driver profile, on the basis of a difference between the first plurality of matrix data and the second plurality of matrix data.

Unsupervised learning-based detection method and driver profile- based vehicle theft detection device and method using same

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Seoul, South Korea

Seung Hee Yang