Jinhyun Park

TL;DR: The convolutional neural network is applied to noisy ultrasonic signatures to improve classification performance of weldment defects and applicability and the result shows that CNN is robust, does not require specific feature extraction methods and give considerable high defect classification accuracies even for noisy signals.

TL;DR: The results demonstrate that the autoencoder can successfully remove noise from the ultrasonic weldment defect signals, which consequently improve the defect classification accuracy of the artificially intelligent deep learning classifiers.

TL;DR: Linarin alleviates GalN/LPS-induced liver injury by suppressing TNF-α-mediated apoptotic pathways and increasing the level of anti-apoptotic Bcl-xL and phosphorylation of STAT3.

TL;DR: An efficient frequency resource allocation scheme for newly deployed femtocells in the legacy OFDMA networks in order to maximize the throughput of both macrocell/femtocell users without severe degradation to the existing macrocell users is proposed.

TL;DR: In this article, an integrated torque distribution strategy for in-wheel electric vehicles is proposed to improve the driving stability and fuel efficiency. But, there is an instability problem if only the driving torque is controlled in consideration of only the motor efficiency, and the authors proposed a control algorithm consisting of various strategies for optimizing driving efficiency, satisfying driver demands and considering tire slip and vehicle cornering.