This study develops an alternative model based on image edge detection, projection integral, and logistic regression approaches for recognizing and categorizing cracks on concrete surface. The integrated model has been developed using Visual C#.NET and tested with 200 real-world image samples.
This study develops a computer program and implements the iteratively reweighted least squares (IRLS) used for fitting multiple linear regression models. The capability of the combined model, IRMLR, is demonstrated using two artificial datasets and two real-world applications. The results indicate that the IRMLR model can be a useful tool to assist civil engineers in the task of data modeling.
This study aims at developing a computer vision tool to segment images capturing surface of reinforced concrete structures. The image processing technique of Gabor filter is used with k-Means clustering algorithm and principal component analysis to automatically segment damages on concrete surface including spall, crack, bughole, and stain.
Present new results on the synthesis of nitrogen-doped GQDs (NGQDs) and sulfur-doped GQDs (S-GQDs) and their respective optical properties such as absorption spectra, fluorescence, and Raman spectra. The fluorescent mechanisms of GQDs, N-GQDs, and S-GQDs will also be clarified and explained.
In this study, we observed the evolution of a cavitation bubble induced by focusing a nanosecond-pulsed laser on an epoxy-resin surface using a photoelasticity imaging technique. The radius-time curve of the bubble within the first 1000 ns was reported for different pulse energies from 20 to 60 mJ.
Aiming at the same goal as HTS, virtual screening (VS) has been developed to reduce cost and increase efficiency. Recent studies show that VS can deliver numerous quality hits and a few of them even reach clinical trials. This paper uses HTS as a background to discuss the contributions, limitations and research trends in VS field as these two technologies complement each other.
Study convergence in probability for the estimator of nonparametric regression model based on pairwise independent errors with heavy tails. Firstly, we investigate laws of large numbers for sequences of pairwise independent random variables with heavy tails. By applying this result, we investigate convergence in probability for the estimator of nonparametric regression model.
Aimed to find suitable methods with high accuracy, this present study evaluated 11 DFT functionals and 11 common basis sets in the calculations of 13C chemical shifts for bakuchiol.