THE INVESTIGATION OF ERROR-CORRECTING CODING OF THE VARIOUS FILES
E. I. Vorobyev, Y. P. Preobrazhenskiy
Problems related to the protection of information from interference are relevant in a variety of practical applications. The information itself can be text, graphic, contain video clips. Interference can be unintentional as well as specially created by cyber criminals. To process and transmit information in practice, various noise-resistant codes are used. The paper discusses the characteristics of some similar stakes: Hamming code, code, reed-Muller, BCH code Bose-Chowdhury-Hoquinghem. The results of comparison of characteristics-correcting codes are shown. An illustration of the encoded text and those bits that have been distorted. A graphical dependency is given to illustrate the dependence of the number of corrected errors on the number of errors that were added to the original message for the three selected codes. The results of studies of the characteristics of redundancy of codes with different files are shown. The BCH and reed-Muller codes were chosen for testing. Txt, midi, wmv and mpeg-2 files were analyzed. A table on the results of research, which shows how the file size, as well as its appearance, have an impact on redundancy. It is established that Hamming and reed-Muller code fix single errors well, BCH code is suitable for correcting various errors.
Keywords: : coding, information, correcting ability, error.
OPTIMIZATION OF SCHEMES OF MEDICAL AND RECREATIONAL ACTIVITIES FOR CHRONIC OBLITERATING DISEASES OF ARTERIES OF THE LOWER EXTREMITIES USING THE THEORY OF MEASUREMENT OF LATENT VARIABLES
A.V.Bykov , N.A.Korenevsky , A.I.Kolesnik, T.N.Govorukhina
The aim of the proposed study is to increase the effectiveness of medical treatment activities of patients with chronic obliterating diseases of the arteries of the lower limbs, including their malignant development – critical ischemia of the lower limbs, due to the use of adequate mathematical methods. As an adequate mathematical apparatus, the theory of measuring latent variables with the G.Rush model is chosen, with the help of which hidden connections are established between known variables (indicator variables) and a variable that does not have an explicit analytic connection with indicator variables, but in relation to which, at a conceptual level, it is known , that such a connection can exist. This variable is called hidden or latent. From the point of view of the choice of the optimal schemes of medical and recreational activities, specific drugs, their dosage, rates and methods of administration, etc. serve as indicator variables, and the effectiveness of treatment as a latent variable. The evaluation of the effectiveness of medical and recreational activities selected at the expert level is provided by the interactive package RUMM 2020, which implements the model of G. Rush, which processes the initial statistical information that was formed during five years when observed by 400 patients of the Kursk Regional Clinical Hospital suffering from different stages of the HOZANK and receiving various treatment regimens. The effectiveness of the treatment measures was controlled by the change in the intensity of the pain syndrome in the lower limbs according to the author’s questionnaire.Using the RUMM 2020 package, it was found that, as effective drugs in the treatment of chronic obliterating diseases, it is advisable to use a combination of such drugs as alprostan, vesel-duf, fractiparin, actovegin, 6% reforming, pradax and ethoxidol. In the online mode of experts with the RUMM 2020 package for these drugs, the treatment regimens were refined and it was shown that the intensity of the pain syndrome, the effectiveness of treatment for newly received treatment regimens is increased by an average of 75%, which allows them to be recommended to the medical practice of vascular surgeons and angiologists.
Keywords: : chronic obliterating diseases of lower limbs, theory of latent variables measurement, optimal treatment regimens.
THE SIMULATION OF METAL-DIELECTRIC ANTENNA ON THE BASE OF COMBINED APPROACH
I. Y. Lvovich, A. P. Preobrazhenskiy, O. N. Choporov, E. Ruzhitsky
The structure of modern radio transmitting devices may include antennas formed of both metal and dielectric components-metal-dielectric antennas. They are compact enough and can be placed on various objects of equipment. The paper presents a simulation of a metal-dielectric antenna based on a combined approach. The scheme of antenna construction in different planes is given. The process of scattering of a plane electromagnetic wave on an antenna is considered. The combined algorithm including the method of the integral equation, parallel approach and genetic algorithm is developed. In this paper, the integral equation is used to determine the unknown surface electric currents on the antenna surface, it is solved on the basis of the method of moments. A parallel algorithm was used to speed up the calculations. The impedance matrix is represented as a block matrix. Each block has its own parallel stream. Taking into account the influence of a plane dielectric waveguide on the scattered field, a method associated with a generalized scattering matrix is used. To solve the problem of multi-alternative optimization associated with determining the linear dimensions of the antenna device at a given operating frequency of the antenna, a genetic algorithm is used. As a result, the dimensions of the designed antenna for the specified dimensions of its components are obtained.
Keywords: : antenna, integral equation, parallel approach, optimization, genetic algorithm.
METHOD OF FORMING REQUIREMENTS TO THE CORRECTION SYSTEM OF THE INERTIAL NAVIGATION SYSTEM ON THE BASIS OF THE MULTIPARAMETER OPTIMIZATION PROBLEM SOLUTION
A.V. Sizov, S.V. Ippolitov, A.Y. Savchenko, V.A. Malyshev
The article proposes a method of forming the requirements for the correction system of the inertial navigation system based on the solution of multi-parameter optimization problem, which will justify the required values of navigation parameters for different types of aircraft systems in order to improve their combat effectiveness. The essence of this method is to select the required optimal values of indicators of the accuracy of navigation and the accuracy of correction, limited by regulatory and technical documentation and the resources of the computing environment on the one hand and the achievement of maximum combat effectiveness on the other hand. The obtained optimal values of the navigation accuracy parameters and the rate of increasing the error of the inertial navigation system coordinates number determine the frequency of inertial navigation system correction. The dependence of computing resources on the accuracy of correction is obtained on the basis of the revealed relationship between the navigation accuracy and the size of electronic terrain map. And on the basis of the revealed connection between the accuracy of correction and the number of sectors of the electronic terrain map, the dependence of computing resources on the accuracy of correction is obtained. The solution of the multiparameter optimization problem defined the relationship of the frequency of correction and the accuracy of navigation at a constant slew rate of the error number of coordinates. This solution allows to determine the optimal value of the navigation accuracy and the correction accuracy, providing maximum combat effectiveness.
Keywords: : inertial navigation system, optical-electronic system, electronic terrain map, optimization.
STRUCTURE OF THE TASKS OF MODELING, NUMERICAL METHODS AND SOFTWARE TOOLS OF OPTIMIZATION OF QUALITATIVE FUNCTIONING OF NETWORK OBJECTS IN MULTI-ASPECT ENVIRONMENT OF INFORMATION MONITORING
A characterization of the functioning of network objects in a multi-dimensional information monitoring environment is given. The main aspects of the evaluation of the quality of functioning in the conditions of digitalization are considered. The necessity of development of object-oriented methods of mathematical modeling and numerical optimization of the process under study is shown. The two-level nature of the orderliness of the elements of a multidimensional information monitoring environment and the possibility of their representation in the form of numeric sets are substantiated. The main classes of numeric sets transformations are given. The dependence of the majority of transformations on expert assessments in the interaction of the incorporation of network objects with the managing centre and consumers of the results of the operation are evaluated. The types of mathematical modeling and methods for their implementation that correspond to the transformations of the numeric sets: structural, statistical, expert-aggregation, expert-classification, expert-optimization are proposed. At the same time, expert optimization modeling is aimed at the sequential reduction of variants of qualitative functioning of network objects with the use of numerical methods of randomized search and expert evaluation.
Keywords: : network objects, high-quality functioning, information monitoring, numeric set, modeling, numerical optimization, expert evaluation.
THE PROBLEM OF THE SELECTION OF A NEURAL NETWORK MODEL FOR PREDICTING THE STREAMS OF DATA OF DISTRIBUTED INFORMATION SYSTEMS
V.O. Akopov, S.A. Sorokin, O.J. Kravets
The object of research in the work are distributed information systems, at the entrance of which comes a stream of requests that require the implementation of certain resources for their service. The subject of research is the prediction of data flows in such systems. The purpose of the work is to analyze the problem of choosing a neural network model for predicting the data flows of distributed information systems. The specificity of the studied problem is analyzed, as well as approaches to the solution based on the theory of queuing systems. The conclusion is drawn about the insufficient adequacy of such systems under conditions of a dynamic change of state. In this regard, it became necessary to develop their own specialized mathematical and algorithmic apparatus. As a result, an approach was proposed to reduce the sample size on the basis of combining the neural network model with a numerical method that takes into account the known regularities of the function and exempts the neural network from predicting these regularities. The specificity of the mathematical apparatus required the use of appropriate algorithmic support for its solution. Thus, the analysis of the problem of choosing a neural network model for predicting the data flows of distributed information systems was carried out.
Keywords: : distributed information systems, forecasting problem, neural networks, formalization.
DETERMINATION OF RELIABILITY OF THE SOFTWARE IN STRUCTURE OF THE MODERN INFORMATION SYSTEM
The subject of the study is the use of modern approaches to determine aimed at improving the reliability of software security measures and the quality of the information system. The object of the study is the model of determining the reliability of the software. The author considers in detail such aspects of the topic as: the use of a functional approach to the study of the reliability of the software component, which consists of the total achievement of the reliability of each functional unit; the use of a systematic approach to the study of software reliability in the structure of the information system. Particular attention is paid to the comparison of existing models and methods for determining reliability. The methods of improving the quality and reliability of the final result of software development, taking into account the allocation of functional blocks. The main conclusions of the study: the use of a systematic approach makes it possible to identify the qualities arising from the mutual relations between the components of the program, which determine modern ways to improve the reliability of software products. The author proposes to adapt the main system principles to improve the reliability of the software, proves the positive effect of their implementation. The novelty of the study lies in the joint use of functional and systemic approaches to identify ways to increase quality and reliability, which allows to take into account the features within the structural elements of the program and their interaction.
Keywords: : autotesting, reliability, software, system approach, functional approach, functional unit.
ACCESS CONTROLS TO INFORMATION RESOURCES IN INFORMATION SYSTEMS
T.I. Lapina, E.M. Dimov, E.A. Petrik, D.V. Lapin
In article the campaign to the organization of multifactor authentication of users in automated information systems at remote access of many users to one information resource through network protocols is considered. It is shown that at a multiuser mode of data access of one of the main objectives of information security support of resources the problem of confirmation of the personality entering information exchange which can be solved by use of multiple-factor authentication is. For confirmation of the identity of the user dynamic biometric identification and authentications on a basis is used by dynes of hand-written handwriting. The complex of technical means of receiving biometric data, the procedure of their analysis and an algorithm of access to an information resource is offered. For forming of a biometric image, it is offered to use discrete transform of Fourier and the system of the orthogonal functions of Haar allowing to select essential features of the measured data of dynamics of hand-written handwriting of the user of information resources.
Keywords: : user authentication, multi-factor authentication, biometric data analysis.
NEURAL NETWORK MODELING OF THE PROCESS OF SELECTING A PATTERN FOR THE TREATMENT OF PATIENTS WITH CHRONIC PYELONEPHRITIS AND UROLITHIASIS
K.O. Levenkov, E.N. Korovin, E.I. Novikova
The article deals with the basic aspects of designing a neural network model for choosing a treatment regimen for chronic pyelonephritis and urolithiasis. One of the most common non-specific chronic kidney diseases is a chronic pyelonephritis. Currently, mathematical modeling of biological systems is one of the main directions of mathematical methods in medical practice. The paper demonstrates network operation. The construction of a multilayer perceptron was carried out on the basis of the Neural Networks module in the Statistica program. The resulting neural network model has 5 outputs, each of which is identical to the types of treatment present in the training set. The developed model provides an opportunity to choose one of 5 types of treatment: Y1 – conservative therapy with antibacterial, antispasmodic and anti-inflammatory drugs in combination with physiotherapeutic procedures; Y2 – conservative therapy in combination with surgical treatment in the amount of contact lithotripsy (KLT); Y3 – conservative therapy in combination with surgical treatment in the volume of distant lithotripsy (DLT); Y4 – conservative therapy in combination with surgical treatment in the amount of percutaneous nephrolitholapaxy (PNLT); Y5 is an open surgery and conservative treatment. The developed model makes it possible to choose one of 5 types of treatment. The reliability of this model was 94%.
Keywords: : neural network modeling, chronic pyelonephritis, urolithiasis, multilayer perceptron, neuron, test set, pattern recognition system.