This paper presents the results of a statistical synthesis of an algorithm for segmenting images of aerial objects based on the Bayesian criterion of maximum posterior probability. The key feature of the algorithm is the use of information about the operator’s initial choice of the object to form a priori spatial distribution of coordinates, which allows effectively taking into account geometric constraints on the movement of the object between adjacent frames of the video sequence. A twostage approach has been developed to jointly solve the tasks of pixel classification and object position estimation, in which spatial information is directly integrated into the segmentation decision rule through a Gaussian model of probability distribution. Analytical expressions for the optimal decision rule are obtained in the form of a threshold comparison of the log-likelihood ratio, which includes both intensity and spatial components. The resulting algorithm improves the quality of segmentation and the accuracy of coordinate measurements under varying lighting conditions, which is critically important for automatic tracking systems of aerial objects in the tasks of airspace monitoring and flight trajectory management.
The article presents the main components of the epidemiological surveillance system for infectious and parasitic diseases in the Armed Forces, the improvement of organizational forms of anti-epidemic protection of troops by developing an automated information and analytical system to support epidemiological surveillance, describes the architecture of special software, technology stack, and algorithms for its functioning. The development and implementation of special software to support epidemiological surveillance will automate the processes of accounting, registration, retrospective and operational epidemiological analysis, monitoring possible complications of sanitary and epidemiological situation in order to timely develop measures to prevent the introduction, occurrence and spread of infectious and parasitic diseases in the Armed Forces.
Solid solutions of bismuth ferrite, in which Bi and Fe ions are replaced by Sm and Ti ions, with the general chemical formula Bi 0.88 Sm 0.12 Fe 1– x Ti x O 3 were obtained by solid-phase reactions. Crystal structure analysis, based on X-ray diffraction data and Raman spectroscopy results, indicates the coexistence of rhombohedral and orthorhombic phases in the studied compounds in the concentration range 0 ≤ x ≤ 0.1. It is shown that at room temperature, the residual magnetization of the compounds increases with increasing Ti ion concentration, reaching a maximum value at x = 0.08. With a further increase in the titanium ion concentration, a slight decrease in the residual magnetization is observed. It was found that a decrease in temperature leads to a decrease in the magnitude of magnetization caused by the Dzyaloshinskii–Moriya interaction, which is accompanied by a change in the lengths and angles of the Fe–O–Fe bonds and distortions of the FeO 6 octahedra.
