Category Archives: Issue # 3(22)

RATING MANAGEMENT OF RESOURCE ALLOCATIONSOFTWARE IN ORGANIZATIONAL SYSTEMSBASED ON EXPERT SELECTION OPTIMIZATION

UDC 681.3

B.A. Chernyshov, O.N. Choporov


Rational allocation of resources is one of the most urgent tasks of managing organizational social-and-economic systems. In this case, there is a need to compare objects based on quantifiable estimates. The integral characteristic of this assessment allows you to specify the rating of objects and can be used in rating management systems. The article considers an optimization approach to expert selection of resource allocation options when using rating management in organizational social-and-economic systems. It is shown that the sources of multivariance are: a variety of sets of indicators used for internal rating assessment, a variety of models for ordering objects of the organizational system by the value of the integral assessment, a variety of models for the distribution of resource provision. The optimization of the expert selection is proposed to be ensured by integrating methods of organizing group examinations, processing their results and selecting the final solution. Combining them in a single cycle of decision-making management within the computer meeting, a question/answer mode of the negotiation process was introduced, allowing to coordinate the opinions of a group of equivalent experts with the dominant one. The paper also justifies the final variant choice of resource allocation in the organizational system based on a combination of the majority and dictator principles.

Keywords: organizational system, rating management, resource support, group expertise, optimal choice.

Full text:
ChernyshovChoporov_3_18_1.pdf

DEFINITION OF THE COEFFICIENTS OF THE MATHEMATICAL MODEL OF QUALITY MANAGEMENT OF TRAINING BY THE METHOD OF LINEAR PROGRAMMING

UDC 519.72

V.I. Sumin, L.D. Kuznetsova, M.A. Lukin


This article examines the process of analyzing the level of quality of education in a higher educational institution. This problem was solved on the basis of using problem-oriented components of the educational process management system of the higher educational institution. To form problem-oriented components of the educational process management system of a higher educational institution, it is necessary to develop a model and algorithm for the process of making managerial decisions in it. Formalization and typification of educational information is carried out, which takes into account the time and indicators of the evaluation of the effectiveness of the quality management of training. Formed sets and sequence of a set of actions on the information that is used in the management of the quality of training. The processing time of elements of educational information in a higher educational institution is considered known on the grounds that it is regulated by normative documents. An evaluation of the duration of the step of taking managerial influences is determined on the basis of a certain set of procedures that in a certain sequence process the educational information of a higher educational institution. The coefficients of importance of the elements of providing information that determine the formation of managerial influence are determined. The procedures for providing information perform functions: determining parameters for a particular procedure, selecting and arranging the selected information, developing mathematical models. A mathematical formulation of the problem is defined in a general form, which allows us to formalize the task of optimizing the management impact, which is used in the management of the quality of instruction using the linear programming method.

Keywords: predicate, predicate significance, variable-valued logical function, logical neural network, cognitive map, cluster analysis, neural network.

Full text:
SuminSoavtori_3_18_1

COMPUTER DIAGNOSTICS OF GENETICALLY DETERMINED ABILITIES TO PRACTICE CERTAIN KIND OF SPORT ON THE BASIS OF ANALYSIS OF FINGER DERMATOGLYPHICS FEATURES

UDC 575.116:004.42:796.08

E.N. Radchenko, V.N. Kalaev, A.P. Preobrazhensky, D.E. Strakhov, I.Y. Lvovich,
I.E. Popova, A.V. Sysoev


The method of computer diagnostics of genetically determined abilities to practice certain kind of sport based on the study of dermatoglyphic fingerprints using the program “Sports specialization of athletes based on features of finger dermatoglyphics” (reg. Number: 2018614779)is described in article. The program was developed by the authors and is based on algorithms created as a result of the analysis of the work of Russian specialists studying the characteristics of dermatoglyphic patterns of athletes. According to the results of computer diagnostics, it is possible to identify people with genetically determined abilities to practice certain sports (for boys – football, volleyball, basketball, rowing and speed skating; for girls – swimming, skiing, aerobics, rhythmic gymnastics, taekwondo and fencing), allowing them to achieve significant success in their kind of sport. Testing is carried out on the basis of analysis of easily determined dermatoglyphic characteristics (dermatoglyphic phenotype, total delta index and total ridge score). The use of computer diagnostics can significantly improve the efficiency of selection to sports facilities and the effectiveness of the trainer’s work. The method is not invasive, safe, does not require special education, significant investment of time and money, has no age limit and can be used in children. This is significant advantage of the method, because in order to achieve high sports results it is necessary to start training at an early age.

Keywords: program, dermatoglyphics, sport, specialization, delta index, crest count, pattern.

Full text:
RadchenkoSoavtori_3_18_1.pdf

PREDICTING THE EMERGENCE AND RECURRENCE OF BRAIN STROKE BASED ON HYBRID FUZZY MODELS

UDC 616-005.4

N.A. Korenevskiy, A.V. Bykov, E.V. Tsymbal, V.V. Aksenov, D.S. Rodionov


The work is devoted to the actual problem of improving the quality and efficiency of predicting the occurrence and recurrence of brain stroke by using the methodology of synthesis of hybrid fuzzy mathematical models developed at the Department of biomedical engineering of Southwestern state University.In the course of the conducted research the space of informative signs was formed in three subgroups: data of surveys and examinations; instrumental methods of research; Doppler ultrasound (27 signs in total). In accordance with the General methodology for the synthesis of hybrid fuzzy decision rules using informative features as basic variables in the interactive mode, the corresponding functions of belonging to the classes of high risk of occurrence and recurrence of brain stroke for which, using modified models E. Shortlife synthesized final predictive model.As a result of expert evaluation and mathematical modeling, it was shown that the obtained models of occurrence and recurrence of brain stroke provide confidence in the correct prognosis at the level of 0.9 and higher, depending on the amount and quality of information collected about the patient’s condition. This quality indicator was confirmed during statistical tests on representative control samples, which allows to recommend them for use in the practice of vascular surgeons and angiologists.

Keywords: astroke, cerebral membership function, the confidence in the decision being taken, the prognosis.

Full text:
KorenevskiySoavtori_3_18_1.pdf

NUMERICAL SIMULATION OF THE FIELD OF SECONDARY SOURCES THE ACOUSTIC WAVE WHEN PASSING THROUGH THE BIOLOGICAL ENVIRONMENT

UDC 534.7

N.N. Chernov, N.P. Zagray, M.V. Laguta, A.Y. Varenikova


The paper gives the substantiation of the relevance of the use of nonlinearity of biological tissues in the development of methods of ultrasonic visualization of internal structures. The equations underlying the interaction of an acoustic wave with a nonlinear biological medium are considered. As the basic equation describing the passage of an acoustic wave, the equation of a simple wave was accepted. It was chosen due to the fact that at small distances, about ten centimeters attenuation of the acoustic signal is not considered. The paper gives its description and boundary conditions. On its basis, an equation describing the field of secondary sources inside a heterogeneous biological medium consisting of several layers with different values of the nonlinear parameter is obtained. As a parameter of the acoustic wave, on the basis of which the restoration of the distribution of the nonlinear parameter of biotissue can be carried out, the vibrational velocity was chosen. A numerical simulation of the distribution of the amplitude values of the oscillatory velocity field of the second harmonic wave for this medium is carried out. The calculations used a three-dimensional coordinate system. For the convenience of calculations and presentation of the results, the thickness of the biological heterogeneous tissue was minimized relative to the z coordinate. the results of the calculations are presented in the form of a matrix of the distribution of the values of the vibrational velocity in the plane. The analysis of the obtained results of numerical simulation is carried out.

Keywords: ultrasound imaging, tomography, nonlinear parameter, field of secondary sources.

Full text:
ChernovSoavors_3_18_1.pdf

MODEL PLANE-DIAGNOSING ENVIRONMENTS DURING LANDING OF AN AIRCRAFT, THE HELICOPTER TYPE

UDC [621.396.96+53.082.74]

V.G. Mashkov, V.А. Malyshev, V.P. Strazhnik


The relevance of the study is due to the need to create a radar system for landing a helicopter-type aircraft on an unprepared site with the possibility sensing the underlying surface (landing site), determining the parameters and characteristics plane-layered media and issuing information to the flight crew about the possibility of landing or lack thereof. Regular means installed on helicopter – type aircraft are currently not able to provide the flight crew with information about the underlying surface (landing site) such as snow depth, ice thickness and so on commensurate with the actual load and weight of the helicopter-type aircraft. A variant using the midpoint method related to the bistatic diagnostic method is based on measurements of the time delay between the direct wave and the subsurface layer reflected from the base, which is a function its thickness. The data obtained, under certain conditions, allow to restore the geometric and electrophysical parameters of the layered structure. However, there are a number of factors in the diagnosis of plane-layered media by bistatic methods, which make a significant contribution to the total error, especially due to a slight longitudinal heterogeneity, or a weak dispersion even one the layers the structure, which cannot be considered in the simulation. Then, in the diagnosis real plane-layered structures based on bistatic data, the error in determining the thickness of the layers and electrophysical parameters increases.

Keywords: plane-medium; subsurface sensing; landing of the helicopter; a landing place; an unprepared area.

Full text:
MashkovSoavors_3_18_1.pdf

MODELING IN A 3D PACKAGE AND BIOMECHANICAL STUDY THE CONDITION OF BLOOD VESSELS FEEDING THE BRAIN

UDC 612.76

G. Basharova, P.I. Begun, O.V. Tikhonenkova


Cardiovascular diseases are the leading cause of death in the world. A serious problem of modern medicine is the creation of effective methods of treatment and prevention of cardiovascular diseases. Mathematical modeling and numerical calculations of blood flow in a network of vessels with pathologies play an increasing role in their development. They allow to predict surgical operations, to optimize the form of implants, to investigate their effects on hemodynamics. The article discusses the development of algorithm and methodology for assessment of blood vessels that feed the brain is normal, the pathological changes and the correction. To implement this: 1) built a conceptual model of brachiocephalic arteries that supply the brain; 2) sections of computer tomograms built computer geometrical models of the blood vessels of the patients; 3) constructed computer models and the analysis of the flow of blood flow in blood vessels; 4) an analysis of the impact of atherosclerotic deposits on the hemodynamics in the circle Millisievert; 5) an algorithm and a method of studying the stress – strain state of blood vessels during dilation and stenting have been developed. The results of the study can be used as an additional diagnostic tool in the analysis of cerebral circulation in specific anatomical cases or in the case of planning operations with blockage of several arteries.

Keywords: brachiocephalic arteries, blood flow, stenosis, computer modeling,
pressure velocity.

Full text:
BasharovaSoavtori_3_18_1.pdf

THE OPTIMIZATION OF TRANSPORT NETWORK’S ROUTES FOR SNOW CLEANING PROCESS ON THE EXAMPLE OF TOMSK CITY

UDC 608.2

M.S. Krutko, T.E. Grigorieva


The optimization of snow cleaning routes was conducted using the example of Tomsk city in order to minimize idling and disturbing of vehicle traffic. It that regard routes of the Tomsk snow-removing vehicles are described, the analysis of which showed that they are not the best. The graph theory is proposed to be applied in order to construct an optimal route of snow removal vehicles, because transport network is a connected oriented graph. Specifically, the lowest total length of the Hamiltonian contour is searched using the traveling salesman problem with branch and bound algorithm. The approved snow removal regulations are considered, when selecting the optimal route. According to these regulations the first category streets should be cleaned in 4 hours, the streets of category II – in 8 hours, the streets of category III – in 12 hours. Based on calculations, the obtained optimal route theoretically can improve the process of snow removal in the city. Moreover, construction of route’s graph is not tied to specifics of the city streets location, so this optimization can be considered universal. It should not only reduce the time of harvesting snow in general, but also reduce the time of building routes themselves.

Keywords: snow cleaning, routes, optimization, graphs.

Full text:
KrutkoGrigorieva_3_18_1.pdf

PREDICTION OF EYE-DIAGRAM PARAMETERS FROM TRANSIENT AND GAIN-FREQUENCY CHARACTERISTICS USING NEURAL NETWORK

UDC 621.396

A.V. Smirnov


A capability of prediction of the eye-diagram width and height with using artificial neural network (ANN) was investigated. For this purpose, were simulated more than 750 examples of telecommunication channels with different transfer functions. Eye-diagrams were composed for all examples by means of convolution of random pulse sequence and pulse response and parameters of these eye-diagrams were measured. Some ANN was learned. Their input variables were transient characteristic delay time, raise time, magnitude of voltage peak and oscillation duration as well as a gain value at the half of clock rate. For each of predicted parameters distinct ANN was chosen for different ranges of input variables. Root mean square errors of eye-diagram parameters prediction using these ANN were in the range of 2 – 4%. Correlation coefficient of predicted and known values was more then 0,98. Sufficient decreasing of computational time is achieved compare with estimation of the eye width and height using eye-diagram modeling. This method can be used for optimization of communication channel characteristics when eye-diagram parameters are the components of the goal function.

Keywords: eye-diagram, transient characteristic, gain-frequency characteristic, neural network, approximation.

Full text:
Smirnov_3_18_1.pdf

OPTIMIZATION MODELING OF THE SYSTEM FUNCTIONING OF HOMOGENEOUS OBJECTS IN A MULTI-ASPECT DIGITAL ENVIRONMENT

UDC 681.3

S.O. Sorokin


This paper introduces the characterization of a homogeneous objects system and as well as its inter- and intra- functionality. It is proposed a classification scheme for digitalization and optimization of the system functioning of homogeneous objects It is demonstrated that digital transformation causes to create multi-aspect environment with many mathematical models. These models characterize the communication with the managing center, with the external environment and with the components of internal functioning. The necessity of constructing invariant and aspect-oriented optimization models for solving resource and structural problems ensuring the efficiency of the functioning of homogeneous objects and satisfaction of the performance indicators of the objects of the external environment is substantiated.

Keywords: digitalization, multidimensional digital environment, mathematical models, resource and structural optimization.

Full text:
Sorokin_3_18_1.pdf