A new method for pattern identification and simulation of X-ray powder diffraction data is described, which can give definite phase composition of the unknown rapidly and correctly. The method is implemented in Micros...A new method for pattern identification and simulation of X-ray powder diffraction data is described, which can give definite phase composition of the unknown rapidly and correctly. The method is implemented in Microsoft Fortran 77 for the IBM PC/XT/AT personal computer or their compatibles.展开更多
[Objectives]This study was conducted to propose an improved YOLOv8s-based potato identification algorithm,in order to address issues such as low detection precision and high miss detection rate in potato identificatio...[Objectives]This study was conducted to propose an improved YOLOv8s-based potato identification algorithm,in order to address issues such as low detection precision and high miss detection rate in potato identification tasks.[Methods]The backbone network was replaced with InceptionNeXt,and the CBAM dual attention mechanism was introduced,to enhance the model s multi-scale feature extraction capability.[Results]The improved YOLOv8s algorithm achieved an identification precision of 94.55%,a recall of 85.34%,and an F1-score of 87.37%in potato identification.Compared with the original algorithm,it improved precision by 7.40%,recall by 2.71%,and F1-score by 2.56%.The average processing time per image was reduced by 0.12 s compared with the unimproved algorithm.The results of simulation tests showed a success rate of 98.20%in 2000 simulated identifcation tests.[Conclusions]This study provides a high-precision and robust solution for potato identification tasks.展开更多
Laboratory experiments were conducted to simulate oil weathering process, a medium to long term weathering process for 210-d, using samples collected from five different oil resources. Based on relative deviation and ...Laboratory experiments were conducted to simulate oil weathering process, a medium to long term weathering process for 210-d, using samples collected from five different oil resources. Based on relative deviation and repeatability limit analysis about indexes of these samples, the results show there had been significant changes in diagnostic ratios among the initial and weathered samples of different oils during this process. Changes of selected n-alkane diagnostic ratios of all oil samples displayed more obviously than diagnostic ratios of terpanes,steranes and PAHs in this process. Almost all selected diagnostic ratios of terpanes, steranes and PAHs can be efficiently used in tracking sources of hydrocarbon pollution, differentiating from the n-alkane diagnostic ratios.In these efficient diagnostic ratios, only four ratios maintained good stability in the weathering processes and are more suitable because their relative deviation（RSD） are lower than 5%.展开更多
文摘A new method for pattern identification and simulation of X-ray powder diffraction data is described, which can give definite phase composition of the unknown rapidly and correctly. The method is implemented in Microsoft Fortran 77 for the IBM PC/XT/AT personal computer or their compatibles.
文摘[Objectives]This study was conducted to propose an improved YOLOv8s-based potato identification algorithm,in order to address issues such as low detection precision and high miss detection rate in potato identification tasks.[Methods]The backbone network was replaced with InceptionNeXt,and the CBAM dual attention mechanism was introduced,to enhance the model s multi-scale feature extraction capability.[Results]The improved YOLOv8s algorithm achieved an identification precision of 94.55%,a recall of 85.34%,and an F1-score of 87.37%in potato identification.Compared with the original algorithm,it improved precision by 7.40%,recall by 2.71%,and F1-score by 2.56%.The average processing time per image was reduced by 0.12 s compared with the unimproved algorithm.The results of simulation tests showed a success rate of 98.20%in 2000 simulated identifcation tests.[Conclusions]This study provides a high-precision and robust solution for potato identification tasks.
基金The National Natural Science Foundation of China under contract No.41206089Project of on-site sediment microbial remediation of public area of central Bohai Sea,North China Sea Branch of State Oceanic Administration under contract No.QDZC20150420-002Program of Science and Technology Service Network Initiative,Chinese Academy of Sciences under contract No.KFJ-EW-STS-127
文摘Laboratory experiments were conducted to simulate oil weathering process, a medium to long term weathering process for 210-d, using samples collected from five different oil resources. Based on relative deviation and repeatability limit analysis about indexes of these samples, the results show there had been significant changes in diagnostic ratios among the initial and weathered samples of different oils during this process. Changes of selected n-alkane diagnostic ratios of all oil samples displayed more obviously than diagnostic ratios of terpanes,steranes and PAHs in this process. Almost all selected diagnostic ratios of terpanes, steranes and PAHs can be efficiently used in tracking sources of hydrocarbon pollution, differentiating from the n-alkane diagnostic ratios.In these efficient diagnostic ratios, only four ratios maintained good stability in the weathering processes and are more suitable because their relative deviation（RSD） are lower than 5%.
