Материалы V международного научного семинара "Современные методы анализа дифракционных данных"
Despite the increased interest in Chinese export painting of the XVIII–XIX centuries, the research of it had found its reflection particularly in description of this art form history, its cultural component, in description of myriads collections stored in the funds of museums, archives and libraries around the world, collectors and their interests and journeys to China. However, artistic techniques and materials utilized by Chinese masters can also become a source of valuable information on cultural and economic cooperation between the two great civilizations - Chinese and Western. In this regard, domestic and foreign scholars commenced conducting researches involving modern methods of image analysis in the study of Chinese export painting. These methods include reflection and polarized microscopy, electron microscopy, as well as non-destructive techniques, such as multi-spectral analysis, optical coherence tomography (OCT), microfade spectrometry, Raman spectroscopy and X-ray fluorescence spectroscopy (XRF).
The texts of papers presented at the workshop on "X-Ray Optics - 2010" are published. Topics of the meeting included the following topics: X-ray crystal optics, multilayer optics for X-ray and extreme ultraviolet, X-ray technology of optical elements, the use of X-ray optics for the study of micro-and nanostructures, X-ray lithography, X-ray microscopy and imaging, new methods of micro-and nanostructures studies using synchrotron and laboratory X-ray sources.
In this paper, we address the problem of detecting small objects on high-quality X-ray imagesusing deep neural networks. We propose to implement the two-stage approach, in which, firstly, input image issplit into partially overlapping blocks to make small objects more discriminative for detection. Secondly, the small blocks are fed into conventional single-shot detectors. These detectors are trained using the blocks of the training images extracted by the same procedure.Two datasets of X-ray images from the customs inspection complex are examined in the experimental study. It was shown thatthe proposed algorithm with data augmentationleads tomore precise results when compared to the conventional technique:ourmethod outperforms the traditional approach by 5.4 - 25.7% depending on the type of used backbone convolutional neural network.
The dynamics of a two-component Davydov-Scott (DS) soliton with a small mismatch of the initial location or velocity of the high-frequency (HF) component was investigated within the framework of the Zakharov-type system of two coupled equations for the HF and low-frequency (LF) fields. In this system, the HF field is described by the linear Schrödinger equation with the potential generated by the LF component varying in time and space. The LF component in this system is described by the Korteweg-de Vries equation with a term of quadratic influence of the HF field on the LF field. The frequency of the DS soliton`s component oscillation was found analytically using the balance equation. The perturbed DS soliton was shown to be stable. The analytical results were confirmed by numerical simulations.
Radiation conditions are described for various space regions, radiation-induced effects in spacecraft materials and equipment components are considered and information on theoretical, computational, and experimental methods for studying radiation effects are presented. The peculiarities of radiation effects on nanostructures and some problems related to modeling and radiation testing of such structures are considered.