No. 3 (2019)

The article discusses topical issues of a neural network clusterizer development designed to recognize handwritten ZIP code for correspondence, specified using a simplified code stamp. A structured convolutional neural network is used as a neural network basis for clustering. It pro-vides the formation and clustering of classifying features set that characterize the index code characters. A software model of a neural network clusterizer has been developed that provides character-by-character recognition of the scanned and appropriately preprocessed zip code im-age. In developing the clusterizer we use the MatLab version 18b Deep Learning ToolBox pack-age. A digital set of MNIST handwritten Arabic digits was used to train the neural network clusterizer. The article presents the experiments results, from which it follows that the trained software model of a neural network clusterizer provides an error recognition of an arbitrary handwritten digit from the validation set at the level of 0.72 %. The advantages of the proposedapproach are: the rejection of the currently used code stamp by replacing it with a simplified rep-resentation and a formally unlimited length; the possibility of using as part of an index handwrit-ten symbol adopted by the national postal systems, subject to appropriate prior training neural network clusters; the possibility of applying the proposed approach at various stages of processing correspondence, ranging from its reception from citizens and ending with sorting machines as part of large sorting centers.

The paper proposes a method for recognition of three-dimensional objects using deep ma-chine learning. In computing systems, objects are often represented by 3D models as a set of poly-gons or surfaces describing a geometric shape. Search for relevant objects by recognizing on the basis of such data without compression is ineffective. In addition, when recognizing on the basis of pairwise comparison of objects with each other, it is often difficult to systematize the results. The proposed recognition method is aimed at solving these problems. In recognition, spectral de-scriptors are applied using characteristics that describe various physical processes on the surface. These descriptors use the spectral decomposition of a discrete analogue of the Laplace-Beltrami operator for objects whose surface is approximated by a triangular grid. Each of the presented objects is represented by three descriptors. A method of compressing information about the shape of an object represented by descriptors using the entered spectral distribution maps is proposed. The peculiarity of this compression method is that when it is used it: is possible to compare objects of different levels of detail, the recognition process is accelerated, and the important properties of resistance to noise and invariance to various form transformations possessed by spectral descriptors are preserved. Object recognition is then performed using deep machine learning, which uses a convolutional neural network with several channels. The input data for each channel of the neural network are maps of spectral distributions. Recognition is performed by computing in a pre-trained neural network and then determining the class to which the object belongs. A series of computational experiments using various configurations of spectral descriptors was carried out. Experimental results demonstrate high recognition accuracy for three-dimensional objects with various shape transformations.

In the article methods of application of boosting models for solving clustering and classifi-cation problems are considered, comparative characteristics of these models are described. A boosting model has also been developed to solve the clustering problem. The statement of the problem is given. An analytical review of some promising developments among modern and clas-sical clustering algorithms is presented, their advantages and disadvantages are estimated. A modified boosting algorithm for solving the clustering problem is presented. The approaches of boosting and bagging are compared, the merits and drawbacks of the approaches considered are estimated. The review of algorithms used in the process of boosting is given. As an example of solving the problem of data clustering, a new model for solving optimization problems is present-ed, based on the use of clustering algorithms weighted set and their boosting based on the ideas of bioinspired algorithms. The heuristic of the proposed boosting algorithm is the use of a probability matrix, which allows a weighted estimation of the learning algorithms quality result to obtain the highest quality of the solution to the clustering problem, and also use weighted data sets contain-ing information on the probability of each individual element occurrence in a particular cluster. The conducted researches showed that the solutions obtained by using the algorithm boosting approach allow to obtain results that are not inferior or superior in quality to the variants ob-tained by the known algorithms.

This article is devoted to solving the problem of research and development of methods for the functioning of quantum algorithms and models of quantum computing devices. The quantum algorithm implemented in the work allows the classical image to be transformed into a quantum state, the selection of boundaries and the transformation of a halftone image into a binary one, shows the possibilities of quantum information theory in interpreting classical problems. The aim of the work is a computer simulation of a quantum algorithm for solving the problem of transform-ing a classical image using quantum computing means and methods, studying existing pattern recognition algorithms and creating an effective recognition model using properties and methods of quantum computing. This article is devoted to solving the problem of research and development of methods for the functioning of quantum algorithms and models of quantum computing devices. The relevance of these studies lies in the mathematical and software modeling and implementation of a quantum algorithm for solving classes of problems of a classical nature. The scientific novelty of this area is primarily expressed in the constant updating and addition of the field of quantum research in a number of areas, and computer simulation of quantum physical phenomena and features is poorly covered in the world. Currently, in many advanced countries of the world inten-sively conducted research work on the development and creation of quantum computers and their software, there is a rapid growth of interest in quantum computers. A large number of articles and monographs are published. The paper presents the main theoretical and practical results in the field of quantum computing.

The article is devoted to the research of thermal fluctuation processes in accordance with the theory of thermal conductivity to solve the problems of diagnosis and prediction of the residual life of insulating materials on the basis of non-destructive temperature method. The urgency of the problem of creating neural networks for assessing the capacity, calculation and prediction of the temperature of PCL cores in real time based on the data of the temperature monitoring system, taking into account changes in the current load of the line and the external conditions of the heat sink. The problems of creation of diagnostics and forecasting of thermofluctuation processes of insulating materials of power cable lines (PCL) of electric power systems on the basis of such methods of artificial intelligence as neural networks and fuzzy logic are considered. A neural net-work was developed to determine the temperature regime of the current-carrying core of the pow-er cable. A comparative analysis of the experimental and calculated characteristics of the temper-ature distributions was carried out, and various load modes and functions of the cable current change were investigated. When analyzing the data, it was determined that the maximum deviation of the data obtained from the neural network from the training sample data was less than 10%, which is an acceptable result. To improve the accuracy, a large amount of input and output data was used in the training of the network, as well as some refinement of its structure. The developed digital hardware device measures the temperature of the surface and the environment of the power cable, and then in real time allows you to calculate its internal temperatures and solve the prob-lem of early detection of damage developing in it. The main field of application of the developed neural network for determining the temperature regime of the current-carrying conductor is the diagnosis and prediction of the electrical insulation resource (EIR) of the power cable. The model allows you to evaluate the current state of isolation and predict the residual life of the PCL. The development of an intelligent system for predicting the temperature of the PCL core contributes to the planning of the power grid operation modes in order to improve the reliability and energy efficiency of their interaction with the combined power system.

Palmprint recognition system is Promising biometric technology, There are a large number of algorithm, methodology and recognition system has been developed in the palmprint research area, but however the high security and spoofing mechanism still limited in some palmprint recognition system, because the work is already done by the researches they all use images for persons identification and authentication, so the image of the person is easily hack with the help of rubber cement, gelatin copy medium, etc. In this paper, we solve this problem with the help of a spectroscopic device, which generates spectral signatures of palmprint, and these spectral signatures are unique for every person. Hence it gives high security and spoofing mechanism is also avoided. This paper outlines the development of palmprint spectral library, for ENVI 5.5 applicationssoftware’s are used.

The paper proposes a method for recognition of objects from laser scanning data. This data can be obtained by scanning objects with a special LIDAR device (LIght Detection And Ranging) in the form of a cloud of points, which is an unordered set of points with coordinates of three-dimensional space. Solving many computer vision and recognition problems using laser scan data is often more efficient than using two-dimensional data for several reasons. Firstly, the third coor-dinate increases the informativeness and promotes a more detailed description of the object. Sec-ondly, the quality of the point cloud does not depend on the weather conditions under which the laser scan was performed. In the third place, a point cloud allows you to keep the scale of objects. Modern LIDAR devices provide data high detail with a lot of points. However, the use of all points for object recognition can lead to large computational costs. In addition, the data may contain noise and outliers, leading to errors in recognition. To improve the quality of recognition, data is pre-compressed using an attribute description in the form of descriptors invariant to some trans-formations. Thus, on the one hand, the dependence on noise and emissions is reduced, on the other hand, computational costs are reduced. At present, for solving problems of object recognition,approaches are increasingly being used that are related to the representation of the structures of the objects being analyzed in the form of graphs. The proposed approach is based on the use of object structures, which are described by parts of a point cloud. Recognition is performed by com-paring the complex spectral decompositions graphs characterizing structure of objects. Methods are proposed for determining the weight coefficients of a structure graph based on the spatial characteristics of the sets of points. It also proposes a method of preliminary selection of objects that differ significantly in structure using eigenvalues in the spectral decompositions of graphs. The effectiveness of the proposed approach is demonstrated by the results of experiments.

Currently, there are many combinatorial problems for which the optimal solution theoretically can be found using the brute force method. However, the number of solutions for such problems increases exponentially with the size of problems. This excludes the possibility of a quick search for optimal solutions using brute force, even for medium-sized problems. Among combinatorial problems there are also small-sized problems. These are problems with set of elements equal several dozen. These problems include assignment and backpack problems, as well as the problem of creating tournament tables. The rapid improvement of computer technology allows us to solve some small combinatorial problems in real time. The article presents several approaches to the optimal formation of tournament tables, which are the result of the draw. This is important for those sports that involve a relatively large number of players from different regions. In these cases, the purpose of the draw is to separate players into different groups so that groups have approximately the same total rating and regional factor. Under this condition, the problem becomes two-criteria. If the number of participants is within two dozen, then the problem can still be solved by exhaustive search in a reasonable time. With the number of participants in tournament beyond two dozen brute force is almost not applicable.

Two combined algorithms for the formation of tournament tables are proposed. The first is based on the heuristic “snake” method and the brute force method. The second algorithm is based on the preliminary formation of several groups by partial enumeration, and the remaining groups by a sequential method. The developed combined algorithms can significantly increase the number of players in the standings with the permissible time of their work. Since the proposed algorithms are approximate, a method for assessing the quality of the results of their work with respect to the optimal solution has been developed. Testing of the presented algorithms was carried out using both randomly generated tests and tests based on real ratings, the algorithms were compared and recommendations on their use were given.

A hybrid algorithm is proposed for locating basic standard library elements in the design of topology of a semi-custom VLSI using the one-dimensional packaging method based on the integration of swarm and genetic algorithms. In the work, as a solution interpretation - a data structure that carries information about packaging (placement), a sequence of elements (priority list) is used, which determines the order of their packaging. As a decoder, the standard packaging procedure (SPP) is used. The interpretation of the placement problem, which is generated by the swarm and genetic algorithms, is an ordered list that includes all cells, with its division into parts. Each part includes vertices corresponding to elements placed in a ruler (block). The number of parts serves as an estimate of the solution. The interpretation of the solution generated by the algorithms is the chromosome, whose structure is identical to the list structure. The list is divided into parts as a result of decoding. We describe the search procedures in the decision space, the mechanisms of behavior of the modernized swarm of particles and genetic search. In contrast to the canonical paradigm of the swarm algorithm, an approach to constructing a modified particle swarm paradigm is proposed, which makes it possible to simultaneously use chromosomes with discrete integer parameter values in a genetic algorithm and in a particle swarm algorithm. The operator of a directed mutation (ОDМ), the essence of which consists in changing the integer values of genes in the chromosome, acts as an analogue of speed when moving. In contrast to the canonical paradigm of the swarm algorithm, an approach to constructing a modified particle swarm paradigm is proposed, which makes it possible to simultaneously use chromosomes with discrete integer parameter values in a genetic algorithm and in a particle swarm algorithm. As an analogue of speed when moving particles, there is a directed mutation operator (ОDМ), the essence of which is to change the integer values of genes in the chromosome. This reduced the combinatorial complexity of the problem. This reduced the combinatorial complexity of the problem. For the experiments were used well-known test problems presented in the library of OR-objects - (OR-Library Beasley). The temporal complexity of the algorithm, obtained experimentally, coincides with theoretical studies and for the considered test problems it is O (n²)-O (n³). The developed algorithm allowed us to obtain optimal solutions for all tasks of the set.

The problem of preeclampsia in pregnant women is one of the pressing problems in modern obstetrics, as this disease is the most common and severe complication of pregnancy, and the problem of treating severe forms of preeclampsia is one of the most difficult in obstetric anesthesiology and resuscitation. The high incidence of maternal and perinatal morbidity and mortality is based on the lack of accurate knowledge of the pathogenesis of the disease, which depends on many predisposing factors, reliable diagnostic criteria, which leads to inadequate therapy and various complications, depending on the timeliness and method of delivery, the amount of anesthesiological and intensive care. Given the high prevalence of pre-eclampsia in Russia, as well as the absence of a downward trend, the aim of the work is to increase the effectiveness of therapeutic therapy for hypertensive complications of pregnancy.

Analysis of the process of diagnosis and the introduction of drugs in the treatment of pre-eclampsia in pregnant women, which is characterized by non-linear dependencies, has led to the need to develop methods for specifying the multidimensional membership functions of linguistic variables terms. For cases when the functional dependence is known in advance, the main types of analytical functions of belonging to several arguments are distinguished: hyperboloid, cone-shaped, bell-shaped, ellipsoid, pyramidal, trapezoid. For cases when the assignment of the membership functions of terms of linguistic variables is analytically impossible, a new method of constructing membership functions has been developed, which, unlike the existing ones, allows defining multidimensional membership functions based on statistical data, as well as reducing the influence of expert subjectivity by automating the process using fuzzy clustering.

In this study, a new approach to the creation of a system graph, which has a given transfer properties, does not lose effective relations between the vectors of effects and responses, which achieves the maximum ratio of norms (or the ratio of squared norms), and implements these ex-treme conditions on the transfer matrix. The problem of adjacency matrix reconstruction for the given parameters is solved in order to construct the initial graph model. This problem in the gen-eralized statement was not solved and is novel. The solution of this problem on the basis of a com-bination of the system theory, linear and matrix algebra allows to formalize the dependence of the influence of network characteristics to the properties of the network, which makes it possible to design a network with specified properties. We apply the concept of a transfer matrix to the prob-lem of maximizing the spread of influence in the socioeconomic system. The optimal change prob-lem is based on the minimization of the matrix norm consistent with the vector norms of impacts and responses. This formulation of the problem makes it possible to construct a graph of the sys-tem with the given transfer properties. The algorithm implementing this approach is computation-ally efficient with harness of O(m3 ), where m is the number of pairs of given vectors, because it is based on the 2nd order Lagrange multiplier method and the conjugate direction method. Since the problems of quadratic programming with linear constraints are solved, the criterion for obtaining a solution is not to achieve the required accuracy, but to enter the domain of unconditional optimi-zation (no constraint is not violated, Lagrange multipliers corresponding to the constraints in the form of inequalities are non-negative), which is much faster than in the general nonlinear pro-gramming problems.

The article deals with the monitoring of the state of insulation of power cable lines (PCL). It is shown that the presence of impurities or oxidation products resulting from heating in the insula-tion material (IM) leads to leakage currents. A mathematical model is obtained to calculate the power of the CR, as well as to determine the location of the inclusion of m1 in the main radiation, due to the power of the active component of the leakage current, when it occurs in the main cable insulation. The calculation of the change in the heat flux passing through the insulation layers of the cable is carried out depending on the radial distances by the method of piecewise given func-tions, taking into account the thermal conjugation of the inclusion. The proposed mathematical model allows to determine the presence of inclusions along with the layer-by-layer calculation of isotherms in the cross section of the cable. The technique proposed in the developed model allows to account for heat losses based on the thermal and geometric dimensions of the inclusion, which was not taken into account in the above models. A method for determining the service life of the insulation material taking into account the total electric field strength in the insulation material for different inclusion sizes, as well as geometric and electrical parameters of inclusions; activa-tion energy of the structural breakdown of the material. The aging model of the insulation material will allow to use it to determine the residual life and predict the wear of the insulation material. The reliability of IM, namely the service life of the insulating material of CL from the tension and temperature, in comparison with the basic formula is investigated. Experimental studies of insula-tion reliability have been carried out, namely, an algorithm has been developed and simulation of the service life of PCL insulation from tension and temperature has been performed. The questions of technical service of power cable lines with the use of modern non-destructive diagnostic meth-ods are considered.

Micromechanical vibration gyroscopes are one of the devices of microelectromechanical systems (MEMS) and are designed to measure angular velocity. In this work, we study a model of a single-mass micromechanical linear gyro, manufactured by bulk silicon technology with an instrument layer thickness of 50 μm. The aim of the work is to study the measuring property of the device with a specific frequency setting. The studies of its dynamic characteristics, frequency re-sponse under the influence of harmonic loads equivalent to those that will affect the actual opera-tion of the micro-gyroscope on the manufactured sensing element are described. The frequency response (amplitude-frequency characteristic) of the MEMS gyroscope significantly depends on the design and topology of the sensitive element. When choosing a design, the qualitative charac-teristics and the algorithm of its functioning are laid down; when developing a topology, quantita-tive characteristics are obtained that significantly affect the measuring properties of the device. Obtaining the amplitude-frequency characteristics at the design stage will allow us to estimate the limiting accuracy characteristics, determine its sensitivity, and optimize the design of the gyro-scope to improve its final characteristics. The article describes the sequence of calculations made to obtain the frequency response and determine the sensitivity to angular velocity by the finite element method in the ANSYS Workbench software package. As a result of the research, the MEMS gyro natural frequencies were determined along two axes, the bandwidth was determined graphically by the frequency response, and the dependence of capacitance on angular velocity was determined. According to the obtained results of the analysis, the measuring property of the device and recommendations for its further frequency tuning and optimization were evaluated.

In work the pilot studies of a spatial distribution of amplitude and a phase of sound pressure of waves of difference frequency in nonlinear acoustic radiators are presented. Influence of a slabovypukly form of the acoustic radiators used as converters of a rating of parametrical anten-nas on formation of a structure in the acoustic field of the wave of difference frequency (WDF) is considered. On the basis of the nonlinear equation of Khokhlov - Zabolotskoy - Kuznetsova solu-tion, which allows us to fully describe the real process of nonlinear interaction of acoustic waves, given is an analytical expression for calculation of a phase of sound pressure in a difference sig-nal upon axes of the parametrical antenna with the curvilinear converter of a rating. The received ratio is fair for the weak fading of waves of a rating in a near zone of the converter with the Gaussian distribution law of amplitude of initial waves on its surface. The method based on use of two identical receivers of ultrasound is the basis for acoustic measurements of a phase picture of a sound field. The sizes of these receivers are much less than the studied wavelength. Herein, as a basic signal, it was used bending around initial process, representing beat of two frequencies of a rating. Such approach considerably simplifies process of phase measurements. Observed datas of axial and cross amplitude and phase distributions of sound pressure of a difference signal are given. They show the uniform structure of the created field of a wave of difference frequency gen-erated by the rating converter with the dispersing wavefront set. Formation of a spherical wave-front set of the slabovypukly converter of a rating happens close-range within a diffraction zone. For convex converters of a rating the behavior of a difference signal for any parametrical anten-nas allows to predict researches of the main regularities of formation of phase structure of a sound field of WDF with a high precision. The prospects of application the slabovypuklykh of con-verters of a rating of the parametrical antenna as sound radiators are considered when carrying out hydroacoustic measurements in the conditions of limited water volume.

The work is devoted to the synthesis of the aircraft control system using synergetic control theory. The paper contains the vehicle & its control system general description, the control laws synthesis & the computer simulation of the vehicle nonlinear dynamics. The meaning of the management processes functional decomposition is revealed & a block diagram of a hierarchical control system that can be constructed using functional decomposition is given. Three hierarchy levels used in the hierarchical control system are described: the upper level, the middle level & the lower level. The upper hierarchy level contains a mathematical model of the “flying platform” in the required operation mode & general synergetic control laws based on this mathematical model. The middle hierarchy level contains connection equations between the upper & the lower hierarchy levels; these connection equations are based on the “flying platform” layout & on the fans aerodynamic design. The lower hierarchy level contains a mathematical model of the “flying platform” engines synchronization system & particular synergetic control laws based on this mathematical model. The relevance of the work consists in the necessity of “flying platform” type vertical take-off & landing aircraft creation to increase the effectiveness of people rescue operations in those disaster areas where helicopters & other modern means don’t cope with a task. The scientific novelty of the work consists in synergetic approach application to the design of the vehicle’s spatial position hierarchic system & to the coordinating energy-save control over the electric engines that get energy from the turbine generator unit.

Currently, in electronics, scientists are trying to move from micro to nano. With the devel-opment of such a direction as nanoelectronics, an improvement of methods for studying the sur-faces of materials is required. Multifrequency atomic force microscopy includes several methods of force microscopy, which can reduce the time of data collection, improve spatial resolution and quantitative mapping of surface properties. To obtain the required resonant frequencies of the cantilever, a mass distribution method is used. In this regard, specialized cantilevers are used, which are obtained by modifying the standard forms of beams (with etched groove; with drowning under the shape of an arrow). For the manufacture of specialized cantilevers use commercial can-tilevers of monocrystalline silicon. In addition to the usual silicon, silicon nitride and polycrystal-line silicon are also used as materials. The use of polycrystalline silicon increases the strength of the cantilever. The purpose of this work is to develop a design of a swept cantilever made of poly-crystalline silicon for multifrequency atomic force microscopy. The work implemented a paramet-ric model of the cantilever on the basis of polycrystalline silicon specialized for multifrequency atomic force microscopy to investigate the frequency characteristics and the deviation of the canti-lever. The results of numerical simulation of the first three resonant frequencies by the finite ele-ment method are presented. The simulation is performed under the condition that the geometrical parameters of the beam lying in the range: length 150–200 mm, thickness from 2–6 μm, width of 20 to 50 μm; the dimensions of the tip and its position has not changed: the height of the tip 15 μm, and a base radius of 2 microns and the corner radius of 35 nm. On the basis of the developed model, the ranges of the most optimal values for the first three resonant frequencies of the cantile-ver, f1-50-250 kHz, f2 – 400-1500 kHz, f3 – 700 – 1900 kHz were determined. Analytical depend-ences of stiffness coefficient on geometrical parameters (length, thickness, width) from 3.0 to 1.25 N/m are also obtained; 1.4 to 3.4 N/m and 2 to 50 N/m; respectively. The data obtained made it possible to determine the design of a swept cantilever with geometric parameters that provide an optimal ratio of stiffness and resonance frequency that meet the requirements of multifrequency atomic force microscopy (length 170 μm, width 30 μm and thickness 2 μm).

The paper presents the results of the study and modeling of the characteristics of the metamaterial consisting of a square open-loop ring resonators (SRR – split ring resonator), the SRR with a single ring and SR resonators based on the obtained results. Numerical results have shown that higher miniaturization is achieved using a spiral resonator SR, compared to the cases of SRR with double rings and SRR with one ring. A study in the range of 9.15 GHz to 5.25 GHz of the influence on the characteristics of the metamaterial of SR spiral resonators from the number of turns (from 1 to 5) at fixed other sizes of the resonator. It is shown that the increase in the number of turns leads to a shift of the operating frequency band towards lower frequency values, but the operating band is reduced. The paper presents the calculation through the coefficients of trans-mission and reflection of the effective values of the dielectric εeff and magnetic permeability μeff layer of metamaterial based on the spiral resonator SR. A microstrip antenna with a substrate of SR-metamaterial is considered. It is shown that this modification of the antenna and the use of LTCC technology can reduce the geometric dimensions of the emitters, extend the operating fre-quency band and radiation efficiency. Numerical studies were carried out using specialized soft-ware for electrodynamic design FEKO and HFSS.

The paper presents the results of simulating microstrip antennas with a substrate based on a matamateriala consisting of square split ring resonators (SRR - split ring resonator). The combined substrate based on metamaterials allows to reduce the geometric dimensions of the emitters, to expand the working frequency band and increase the radiation efficiency.

The paper also establishes a correspondence between the characteristics of the SRR metamaterial and a homogeneous layer with effective dielectric and magnetic permeabilities obtained through the reflection and transmission coefficients. The microstrip antenna characteristics were simulated using the FEKO and HFSS programs.

In article insufficiently studied aspects of engine management of internal combustion, such as detonation are considered. Authors suggest to use this, considered as accidental, process for increase in torque and power the internal combustion engine. At detonation instead of constant frontal flame in zone of combustion the detonation wave rushing with supersonic speed is formed. In wave of compression fuel and oxidizer detonate. This process, in terms of thermodynamics, increases engine efficiency thanks to compactness of zone. The possibility of use of detonation combustion of fuel-air mixture in the internal combustion engine as useful part of working process and the assumption of possibility of steering of burning of fuel-air mixture in the displaced mode allowing to improve indicator indicators becomes is considered. Though the detonation is consid-ered the destructive phenomenon, the possibility of short combustion of part of TVS with detona-tion is put in design of modern engines. It is caused by essential difference of grades of fuel, vari-ous approach to determination of octane number, change of properties of gasoline depending on the used additive compounds, etc. The stand is developed for experimental confirmation suggested, equipped with the original pressure control device in combustion chamber allowing to fix the indi-cator chart and detonation. The example of obtaining the improved external high-speed character-istics is given. Also the indicator charts allowing to explain improvement of external high-speed characteristics are submitted. Are in conclusion suggested on change of characteristics of parame-ters of burning of fuel-air mixture and the subsequent stages for studying of possibility of use of part of fuel in the detonation mode for the purpose of steering of burning process are planned.

This paper presents the results of a study of the influence of parameters of a focused ion beam on technological modes of local ion beam milling and ion-induced deposition of materials from the gas phase to form elements of a vacuum field-emission nanoelectronics. A design of a field-emission cell was developed, consisting of a cathode-anode system, the shape of which provides, on the one hand, high reliability and efficiency, and on the other hand, it allows the use of ion-beam milling and ion-induced deposition technologies to form sealed cells in a vacuum technological cycle. The use of elements of vacuum electronics is promising from the point of view of achieving high radiation resistance and high operation frequencies. The creation of nanoscale cathode and anode structures, as well as the provision of ultra-short interelectrode distance allows to achieve a significant reduction in the power consumption of devices and to increase the density of the layout of elements. Using the methods of ion-induced carbon and tungsten deposition and local milling with a focused gallium ion beam, a mock-up vacuum emission cell based on a silicon/gold/silicon oxide structure was made. It is shown that using the method of ion-beam milling and ion-induced deposition of a gallium-focused ion beam makes it possible to form elements of a vacuum field-emission nanoelectronics with high accuracy and resolution and to avoid the drawbacks of traditional microelectronic processes, such as the need for masks, resists and liquid chemistry.  The obtained results make it possible to create a basis for the development of radiation-resistant high-speed elements of ultra-large integrated circuits with reduced power consumption and can be used in the development of promising technological processes for the formation of the element base of nanoelectronics and nanomechanics using local beam nanostructuring methods.