O. N. Belousova1, S. M. Zerkal2 1Institute of Automation and Electrometry, Siberian Branch, Russian Academy of Sciences, pr. Akademika Koptyuga 1, Novosibirsk, 630090 Russia 2Novosibirsk State University of Architecture and Civil Engineering, ul. Leningradskaya 113, Novosibirsk, 630008 Russia
Keywords: computed tomography, inverse kinematic problem, refracted waves, residual functional, Newton’s method, refractive index
Subsection: MODELING IN PHYSICAL AND TECHNICAL RESEARCH
An important initial step in seismic tomography studies that use the kinematic characteristics of elastic waves is the optimal choice of the reference velocity distribution which corresponds to the principal known component of the velocity function in linearization. A numerical analysis of the determination of the reference velocity distribution parameters depending on the properties of the system of observations used is given.
V. A. Ivanov, V. S. Kirichuk
Institute of Automation and Electrometry, Siberian Branch, Russian Academy of Sciences, pr. Akademika Koptyuga 1, Novosibirsk, 630090 Russia
vaivanov@iae.nsk.su
Keywords: photodetector, direction-finding characteristic, point object
Pages: 3-10
A model of the direction-finding characteristic of a moving point object for a persistent photodetector is proposed. The model ensures the calculation of the direction-finding characteristic as a function of photodetector parameters and object velocity, which form the basis for calculating the probability of detection of moving point objects. Results of numerical experiments are reported
S. M. Borzov
Institute of Automation and Electrometry, Siberian Branch, Russian Academy of Sciences, pr. Akademika Koptyuga 1, Novosibirsk, 630090 Russia
borzov@iae.nsk.su
Keywords: search for dynamic objects, small-size objects, processing of IR video sequences, space-time anomalies
Pages: 11-17
Codes and algorithms are developed for detecting small-size dynamic thermal objects on the basis of searching for space-time anomalies in the observation field formed by a sequence of infrared images. Results of studying the method effectiveness, based on data obtained under conditions of a real background-target environment, are presented
I. A. Klyavin1, A. N. Tyrsin2 1Chelyabinsk State University, ul. Br. Kashirinykh 129, Chelyabinsk, 454021 Russia
2ivank@mail.ru
2Reliability and Life of Large Systems and Machines Scientific-Engineering Center, ul. Studencheskaya 54a, Ekaterinburg, 620049 Russia
at2001@yandex.ru
Keywords: random variable, distribution law, probability density, random sampling, Monte Carlo statistical simulation, goodness-of-fit test
Pages: 18-25
This paper describes a new method for choosing a distribution law from a given set of experimental data that provides the best fit to a measured random variable. The method is based on a comparison of empirical distributions constructed for the original sample with the set of given laws using a continuous mapping of the distribution function onto the interval [0, 1]. As a result, the distribution for which the corresponding value of the functional is maximal is taken as the most probable distribution law for the original sample. Examples of implementing the method using statistical Monte Carlo simulation are given
V. G. Getmanov
Geophysical Center, Russian Academy of Sciences, ul. Molodezhnaya 3, Moscow, 119926 Russia
v.getmanov@gcras.ru
Keywords: digital filtering, approximation, optimization, spline functions, spline nodes
Pages: 26-41
The problem of computing spline approximation functions taking into account the possibility of optimizing the location of spline nodes is considered. Algorithms are developed to compute spline approximation functions with free conditions at the ends of observation intervals, with controlling of splines by the zero and first derivatives at the ends of observation intervals, and with the provision of optimal locations of spline nodes. The results of mathematical modeling of the algorithms for computing spline approximation functions are presented
S. V. Panin1, Yu. A. Altukhov1, P. S. Lyubutin1, A. V. Byakov1, S. A. Khizhnyak2 1Institute of Strength Physics and Material Science, pr. Akademicheskii 2/4, Tomsk, 634021 Russia
vp@ispms.tsc.ru
2Joint-Stock Company “Sykhoi Design Bureau”, ul. Polikarpova 23B, Moscow, 125284 Russia
Keywords: fractal dimension, image processing, filtration, optical image, noise
Pages: 42-49
The influence of various methods of obtaining surface images on the calculated value of their fractal dimension as a quantitative characteristic of the surface state is studied. It is demonstrated that images obtained both by a scanning electron microscope and by a photocamera are characterized by a noticeable noise level, which alters the behavior of the fractal dimension. Various methods of correction of the observed effect are discussed
E. L. Kuleshov
Far Eastern Federal University, ul. Sukhanova 8, Vladivostok, 690950 Russia
kuleshov@lemoi.phys.dvgu.ru
Keywords: random process, exchange rate, covariance function, spectral density, autoregression processes, Elliott waves
Pages: 50-60
The exchange rate formation process is represented as the sum of a low-frequency deterministic trend and a high-frequency stationary random component for which the covariance function, the spectral density, and the increment correlation function are obtained. Theoretical results are in good agreement with the results of processing of observed data. The model explains the occurrence of Elliott waves on exchange rate paths and generates a parametric family of random processes with spectral characteristics ranging from white noise to a first-order autoregression process
A. B. Saushev
St. Petersburg State University for Water Communications, ul. Dvinskaya 5/7, St. Petersburg, 198035 Russia
saushev@bk.ru
Keywords: parametric synthesis, operational capability range, operational capability reserve, R-functions
Pages: 61-67
A method for determining the optimal internal parameters of technical systems, based on the analytical description of the operational capability range, which is defined as a set of linear constraints, is considered. An expression for the objective function, which allows one to use any known search method for optimizing the system by the criterion of the operational capability reserve, is derived
P. E. Tverdokhleb, Yu. A. Shchepetkin
Institute of Automation and Electrometry, Siberian Branch, Russian Academy of Sciences, pr. Akademika Koptyuga 1, Novosibirsk, 630090 Russia
tverdokhleb@iae.nsk.su
Keywords: acousto-optical scanning, amplitude-phase grating, Doppler tomography, collinear heterodyning, coupled-mode approach, testing of light-sensitive materials
Pages: 68-79
By solving coupled-mode equations in laser Doppler tomography, expressions for output signals are found, which describe light diffraction on a volume grating with a mutual (in the general case) shift of the amplitude and phase components. Signal parameters that are least prone to the influence of uncontrolled characteristics of the optical system and studied medium are found. The phase shift between the signals of a two-channel heterodyne detector of scattered light is obtained as a function of the character of the amplitude-phase components of the test grating
I. S. Gibin, V. I. Kozik, E. S. Nezhevenko
Institute of Automation and Electrometry, Siberian Branch, Russian Academy of Sciences, pr. Akademika Koptyuga 1, Novosibirsk, 630090 Russia
nejevenko@iae.nsk.su
Keywords: DLP technologies, micromirror systems, infrared systems, spectral range, IR image
Pages: 80-85
An experimental model of a test rig for formation of images in a computer and insertion of these images into the optical-electron path of an infrared imaging system is considered. Experiments on synthesizing images in the range of 3–5 µm and dynamic scenes are performed. Experimental estimates of the model test rig are given