Volume 54, Nº 5 (2018)
- Ano: 2018
- Artigos: 16
- URL: https://journals.rcsi.science/8756-6990/issue/view/13218
Analysis and Synthesis of Signals and Images
Discrete Algorithms for Solving Two Continuous Problems of Random
Resumo
A combinatorial-discrete approach to solving continuous probabilistic problems arising in the analysis of random point structures is proposed. It is based on replacement of computational schemes based on calculations of cumbersome multidimensional integral expressions by schemes that do not require the use of the apparatus of differential and integral calculus. Another distinctive feature of the study is the systematic use of the generalized Catalan numbers from the multidimensional extension of the classical Catalan sequence for ranking random mutually dependent sequences.
427-433
Detection of Small Objects in Noisy Images with Unknown Probability Distributions
Resumo
The problem of detecting small-size objects in noisy images in the absence of information on the probability distributions of the magnitudes of the signals observed at points in the region of the object and at points of the complex (random) background surrounding the object is considered. Appropriate critical values are obtained for the relatively recently introduced new non-parametric statistical test in the case of detection of a small-size object. The powers of the new test and the well-known two-sample Wilcoxon test are compared for the case with exponential distributions.
434-444
Analysis of Correction Methods for Digital Terrain Models Based on Satellite Data
Resumo
Correction algorithm for digital terrain models derived from remote sensing of the Earth’s surface are analyzed. The accuracy of the ASTER GDEM2, SRTM X-band, and ALOS DMS global digital elevation models were analyzed, showing that ALOS DMS images have the smallest absolute and relative errors for different relief conditions (flat, hilly and highly dissected plains) of the Novosibirsk oblast’. A comparative analysis of the algorithms proposed by Wang and Liu, Plantchon and Darboux, Pelletier, and Tarboton was performed to eliminate artifacts on original satellite images associated with local topographic lows (depressions, pits). The smallest errors for different terrain conditions were obtained using the algorithm of Wang and Liu.
445-450
Nonparametric Algorithms for Estimating the States of Natural Objects
Resumo
Modifications of a nonparametric pattern recognition algorithm corresponding to the maximum likelihood criterion with additional decision functions are considered. The synthesis of the proposed algorithms is based on the analysis of the ratios of the estimates of the probability density distributions of random variables in classes and their functionals with input thresholds. The choice of the thresholds is determined by specific features of the classification problem. The results obtained are applied for assessing the states of forest tracts on the basis of remote sensing data.
451-456
Spatial Filtration with Allowance for Changes in the Observed Image of the Object during Its Microscanning
Resumo
A filtration algorithm is proposed for detecting objects in images obtained by means of microscanning. An algorithm for calculating the filter for an object with a known shape is presented. The influence of changes in the object shape induced by a subpixel displacement of the object with respect to the center of the photosensitive cell on the filtration results is studied. An approach to choosing the filter shape with allowance for object shape changes is tested. Results of numerical simulations are reported.
457-462
Mathematical Modeling of a Compact Three-Component Azimuth Fluxgate Sensor
Resumo
Problems of determining the spatial orientation parameters of solids are considered. Known results of mathematical modeling of a three-component azimuth fluxgate sensor are analyzed. Mathematical models of a similar azimuth sensor with arbitrarily oriented fluxgates are developed and analyzed.
463-468
Optical Information Technologies
Diffractive-Refractive Intraocular Lenses with Binary Structures
Resumo
The paper presents a brief analytical review of papers dealing with the use of simple binaryphase diffractive structures in multifocal artificial eye lenses (intraocular lenses) to increase the focal region. The results of theoretical studies of the influence of spherical aberrations of the eye, the optical power of the diaphragm (pupil diameter), and the duty cycle of the structure on the depth of focus (limits of clear vision) are given. The intensity distribution in diffraction orders (foci) in the simplest binary diffractive-refractive intraocular lenses is analyzed.
469-476
Improving the Reliability of Interference Measurements by using Several Wavelengths
Resumo
Methods are proposed to improve the reliability of interference measurements of surface nanotopography with sharp height gradients that lead to ambiguity in determining the phase of interference signals. The effect of the total measurement error on the range of multiwavelength measurements is considered. The results of field experiments demonstrating an increase in the range of measurements of nanotopography by the proposed methods in comparison with single-wavelength measurements are given.
477-483
Fluorimeter with Reflecting Optical Elements for Detecting of Simultaneous Reactions in a Microplate
Resumo
This paper describes the autocollimation optical scheme of a fluorimeter that allows detecting different reactions from multiple wells of a microplate at the same time. The image focusing is implemented a spherical mirror that excludes the presence of background illumination and chromatic aberration. The operation of the fluorimeter is demonstrated by measuring a signal from the microplate with 96 and 384 individual wells.
484-489
Physical and Engineering Fundamentals of Microelectronics and Optoelectronics
Capacitive Motors with a High Specific Power Capacity
Resumo
A new class of capacitive motors based on nanometer gaps between the electrodes and possessing specific power capacity values much higher than that of inductive motors is described. Specific features of their operation are analyzed. The specific energy generated in a cycle of electromechanical conversion is estimated. The forces and powers of the considered motors are found to exceed the corresponding parameters of inductive motors by 2–3 orders of magnitude, which offers a possibility of using them in numerous applications.
490-495
Elastic Properties of Suspended Conducting GaAs/AlGaAs Nanostructures by Means of Atomic Force Microscopy
Resumo
This paper demonstrates the applicability of nanoindentation technique using atomic-force microscope cantilever for studying the elastic properties of suspended semiconductor structures on the basis of relatively thick GaAs/AlGaAs membranes in the case when their stiffness significantly exceeds that of the cantilever of atomic-force microscope, which is confirmed by the agreement between the experimentally determined values of both relative and absolute stiffness measured at different points of the investigated structure with theoretical predictions.
496-501
Recording of Low-Power Nanosecond Radiation Pulses by a Detector Based on a Thin-Film Pyroelectric Structure
Resumo
Results of an experimental study of a thin-film pyroelectric detector of radiation based on strontium barium niobate and used for detecting nanosecond radiation pulses are reported. The possibility of recording 30-ns radiation pulses with the sensitivity of 1 V/W (NEP = 8 · 10−7 W/Hz1/2) is demonstrated.
502-505
Modeling in Physical and Technical Research
Fuzzy Clustering in Problems of Determining the Aerodynamic Characteristics and Modeling the Aircraft Dynamics
Resumo
A modified method of fuzzy clustering is proposed for determining the aerodynamic characteristics of an aircraft from flight test data. This approach allows one to describe the aerodynamic characteristics of an aircraft in the form of a black box model with inputs in the form of telemetry data, such as accelerations, angular velocities, thrust, and dynamic pressure, and with outputs in the form of dimensionless aerodynamic coefficients of forces and moments. Results of modeling in the MATLAB/Simulink environment are reported.
506-512
Combustion Regime Monitoring by Flame Imaging and Machine Learning
Resumo
A method for automatic determination of combustion regimes using flame images on the basis of a convolutional neural network on labeled data is under consideration. It is shown that the accuracy of regime classification reaches 98% on the flame images of a gas burner. The results of the operation of the convolutional neural network and classification using different linear models are compared.
513-519
Quadrotor Control in Payload Transportation on Suspension
Resumo
This paper describes the problem of controlling a quadrotor motion in payload transportation on suspension. The suspension is a weightless rod pivotally fixed at the quadrotor mass center with a payload on its end. Equations of motion for a two-dimensional model are obtained using Lagrange equations of the second kind, which serve as a basis for a model revealing the suspension oscillations that destabilize the system. We proposed a controller based on the structural synthesis method and including the deflection angle of the rod from the vertical. The efficiency of the algorithm is confirmed by the simulation results.
520-524
Simulating the Operation of an Adaptive System for Controlling a Drying Process in an Organic Waste Recycling Device
Resumo
This paper describes the synthesis of an adaptive automatic control system for the vortex dryer of a plant for recycling organic wastes. The application of an adaptive controller for loading the dryer with wet fuel is presented.
525-530
