Metal-oxide-reinforced plastic nanocomposites are widely used in high-tech industries, but the reinforcement mechanism of the metal oxide is not fully understood. Here we investigate the interfacial properties of a zinc-oxide-reinforced amorphous polytetrafluoroethylene (a-PTFE) composite as a prototype for such composites using superlattice modeling and density functional tight-binding molecular dynamics simulations. To study the ZnO/a-PTFE composites, the superlattice supercells are built using a ZnO (112̄0) surface supercell and a-PTFE layer with an experimental density of 1.
View Article and Find Full Text PDFIn autonomous driving, scene understanding is a critical task in recognizing the driving environment or dangerous situations. Here, a variety of factors, including foreign objects on the lens, cloudy weather, and light blur, often reduce the accuracy of scene recognition. In this paper, we propose a new blind image inpainting model that accurately reconstructs images in a real environment where there is no ground truth for restoration.
View Article and Find Full Text PDFWe introduce a distance metric between two distributions and propose a Generative Adversarial Network (GAN) model: the Simplified Fréchet distance (SFD) and the Simplified Fréchet GAN (SFGAN). Although the data generated through GANs are similar to real data, GAN often undergoes unstable training due to its adversarial structure. A possible solution to this problem is considering Fréchet distance (FD).
View Article and Find Full Text PDFThe objective of this study is to evaluate the applicability of adsorption models for predicting the properties of adsorbents. The kinetics of the adsorption of NO3- ions on a PP-g-AA-Am non-woven fabric have been investigated under equilibrium conditions in both batch and fixed bed column processes. The adsorption equilibrium experiments in the batch process were carried out under different adsorbate concentration and adsorbent dosage conditions and the results were analyzed using adsorption isotherm models, energy models, and kinetic models.
View Article and Find Full Text PDFThe Test of Gross Motor Development-II (TGMD-II) is a frequently used assessment tool for measuring motor ability. The purpose of this study is to investigate the reliability and validity of TGMD-II's weighting scores (by comparing pre-weighted TGMD-II scores with post ones) as well as examine applicability of the TGMD-II on Korean preschool children. A total of 121 Korean children (three kindergartens) participated in this study.
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