To cater the need for real-time crack monitoring of infrastructural facilities,a CNN-regression model is proposed to directly estimate the crack properties from patches.RGB crack images and their corresponding masks o...To cater the need for real-time crack monitoring of infrastructural facilities,a CNN-regression model is proposed to directly estimate the crack properties from patches.RGB crack images and their corresponding masks obtained from a public dataset are cropped into patches of 256 square pixels that are classified with a pre-trained deep convolution neural network,the true positives are segmented,and crack properties are extracted using two different methods.The first method is primarily based on active contour models and level-set segmentation and the second method consists of the domain adaptation of a mathematical morphology-based method known as FIL-FINDER.A statistical test has been performed for the comparison of the stated methods and a database prepared with the more suitable method.An advanced convolution neural network-based multi-output regression model has been proposed which was trained with the prepared database and validated with the held-out dataset for the prediction of crack-length,crack-width,and width-uncertainty directly from input image patches.The pro-posed model has been tested on crack patches collected from different locations.Huber loss has been used to ensure the robustness of the proposed model selected from a set of 288 different variations of it.Additionally,an ablation study has been conducted on the top 3 models that demonstrated the influence of each network component on the pre-diction results.Finally,the best performing model HHc-X among the top 3 has been proposed that predicted crack properties which are in close agreement to the ground truths in the test data.展开更多
FWHM calibration is one of the essential procedures in gamma-ray spectra analysis.Traditional method is time consumption and poor flexibility because of extra measurement on calibration source.This paper introduces an...FWHM calibration is one of the essential procedures in gamma-ray spectra analysis.Traditional method is time consumption and poor flexibility because of extra measurement on calibration source.This paper introduces an implicit calibration method based on symmetric zero-area conversion.The single peaks can be differentiated from doublets.Meanwhile,the extracted FWHM values can be applied in the fitting process.Various forms of calibration equations are introduced and compared with practical spectrum data under this method.展开更多
The effects of gamma irradiation on absorption properties of Carbol Fuchsin (CF) with crystal violet dyed Poly Vinyl Alcohol (PVA) blended for possible use in dosimetry and measurement of radiation dose in gamma rays ...The effects of gamma irradiation on absorption properties of Carbol Fuchsin (CF) with crystal violet dyed Poly Vinyl Alcohol (PVA) blended for possible use in dosimetry and measurement of radiation dose in gamma rays have been studied using UV-Visible spectrophotometer method. The films were irradiated to accumulated doses from (10 to 70) Gy using Co60 gamma ray source at a constant dose rate. The absorption spectra were measured using UV-Visible spectrophotometer in the wave length range (200 to 900) nm, resulting in a decrease of the absorbance at 560 nm band peak with increasing dose. Regarding to the IR transmittance it’s appearing that for the samples with crystal violet the band at 1716 divided two small bands which become obvious for the irradiated one which indicate also the effect of gamma doses. In this study, the less Full Width at Half Maximum (FWHM), the better is the dosimeter. The FWHM due to sharpness in the band peak and this is useful for determine the fine dosimeter.展开更多
文摘To cater the need for real-time crack monitoring of infrastructural facilities,a CNN-regression model is proposed to directly estimate the crack properties from patches.RGB crack images and their corresponding masks obtained from a public dataset are cropped into patches of 256 square pixels that are classified with a pre-trained deep convolution neural network,the true positives are segmented,and crack properties are extracted using two different methods.The first method is primarily based on active contour models and level-set segmentation and the second method consists of the domain adaptation of a mathematical morphology-based method known as FIL-FINDER.A statistical test has been performed for the comparison of the stated methods and a database prepared with the more suitable method.An advanced convolution neural network-based multi-output regression model has been proposed which was trained with the prepared database and validated with the held-out dataset for the prediction of crack-length,crack-width,and width-uncertainty directly from input image patches.The pro-posed model has been tested on crack patches collected from different locations.Huber loss has been used to ensure the robustness of the proposed model selected from a set of 288 different variations of it.Additionally,an ablation study has been conducted on the top 3 models that demonstrated the influence of each network component on the pre-diction results.Finally,the best performing model HHc-X among the top 3 has been proposed that predicted crack properties which are in close agreement to the ground truths in the test data.
基金Supported by National Nature Science Foundation of China(No.11175101)
文摘FWHM calibration is one of the essential procedures in gamma-ray spectra analysis.Traditional method is time consumption and poor flexibility because of extra measurement on calibration source.This paper introduces an implicit calibration method based on symmetric zero-area conversion.The single peaks can be differentiated from doublets.Meanwhile,the extracted FWHM values can be applied in the fitting process.Various forms of calibration equations are introduced and compared with practical spectrum data under this method.
文摘The effects of gamma irradiation on absorption properties of Carbol Fuchsin (CF) with crystal violet dyed Poly Vinyl Alcohol (PVA) blended for possible use in dosimetry and measurement of radiation dose in gamma rays have been studied using UV-Visible spectrophotometer method. The films were irradiated to accumulated doses from (10 to 70) Gy using Co60 gamma ray source at a constant dose rate. The absorption spectra were measured using UV-Visible spectrophotometer in the wave length range (200 to 900) nm, resulting in a decrease of the absorbance at 560 nm band peak with increasing dose. Regarding to the IR transmittance it’s appearing that for the samples with crystal violet the band at 1716 divided two small bands which become obvious for the irradiated one which indicate also the effect of gamma doses. In this study, the less Full Width at Half Maximum (FWHM), the better is the dosimeter. The FWHM due to sharpness in the band peak and this is useful for determine the fine dosimeter.
