Korea Advanced Institute of Science and Technology

Agency for Defense Development

Jeongchan Park

Taewoo Kim

Hwaseong Lee

Sung Jin Park

Ilhoon Jung

Changon Yoo

Jong Yoon Chae

Dongmin Choi

Jingoog Kim

Yeojeong Yoon

GunWoo Moon

Seunghyun Choi

This application relates to an apparatus for identifying an abnormal processor. In one aspect, the apparatus includes a memory information collection part that collects memory region information and dynamic library information of a memory. The apparatus may also include a first identification part that identifies an abnormal processor by using a first machine learning model pre-trained based on the memory region information. The apparatus may further include a second identification part that identifies an abnormal processor by using a second machine learning model pre-trained based on the dynamic library information. The apparatus may further include a determination part that determines a final abnormal processor based on either the abnormal processor identified using the first machine learning model or the abnormal processor identified using the second machine learning model.

Apparatus and method for identifying abnormal processor and computer-readable storage medium

It is provided a novel LLC resonant converter with high reliability and the operation method thereof. The LLC resonant converter proposed in the present invention includes an original converter including a primary side circuit on which two half-bridge cells are connected in parallel and a secondary side circuit on which two half-bridge cells are connected in series and a redundant converter having the same configuration with the original converter, and connected with the original converter at a midpoint of a secondary winding.

LLC resonant converter with high reliability

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Daejeon, South Korea

Jeongchan Park