Category Archives: 2020 year

TECHNIQUE FOR A QUICKLY DEPLOYED COMMUNICATION NETWORK CREATION BASED ON RADIO RELAY LINES


UDC 621.396.4
DOI:10.26102/2310-6018/2020.30.3.032

V.O. Klyuchnikov

Radio relay communication plays an important role in the creation of digital infrastructure. Modern digital radio relay lines allow organizing high-speed communication channels supporting the transmission of all types of traffic, including voice messages, packet data transmission, and video signals in real time. The article discusses methods for calculating digital radio relay communication lines, and also provides general recommendations for organizing digital radio relay communication lines. The design of radio relay lines is carried out in such a way that they have high bandwidth and high reliability, taking into account the physical (energy) and channel-network capabilities of the system. The calculation method requires determining the energy parameters, deriving the form of the quality equation, calculating the performance criteria and methods for calculating the attenuation of radio waves at radio relay intervals. The possibility of using MPLS-technology in the radio relay communication was positively assessed. The radio relay network routing system is based on multiplexing streams with a protection mechanism at the channel and network levels. Continuous adaptive modulation mode allows flexible QAM rate change, allowing continuous traffic. The redundancy according to the «1+1» and «2+0» schemes is considered. This scheme doubles the system throughput and prioritizes traffic. The technique allows you to build a digital radio relay network with flexible changes in both physical and network parameters.

Keywords: radio relay network, radio relay lines, calculation methods, quality indicators, radio wave propagation, packet delivery route.

Full text:
Klyuchnikov_3_20_1.pdf


THE COMPUTER MODEL OF THE MATRIX PHOTODETECTOR


UDC 004.942+519.876.5
DOI:10.26102/2310-6018/2020.30.3.031

V.S. Feshchenko, V.G. Surinov, V.I. Chukita, V.A. Shepelev

The variety of applications, heterogeneity of physical processes taking place during the passage of information through modern photodetector devices, create significant difficulties in conducting field experiments on them during their development and research. This is especially evident at the stage of development of the advance project, when there is absent only the photodetector itself, but also the very concept of building the device. In this case, it is especially important to carry out the process of mathematical modeling and build a computer model of the proposed photodetector in order to select its layout, optimal parameters and operating modes. This paper describes the development of a computer model of a matrix photodetector or FPA starting from the first stage, the stage of creating a primary vision of an object or system. At this stage, the main components of the FPA, the relationship between them, input, output and control signals were determined. Thus, a conceptual model was built, which reflects in an idealized form the composition and principle of operation of the FPA. At the next stage, on the basis of the conceptual model, a mathematical model of the FPA was developed, checked for adequacy and concluded that the expected deviation of the characteristics of the model from the parameters of the real device was small. Finally, at the last stage, a software implementation of the mathematical model in MATLAB was carried out and a computer model was obtained. Further, in order to check the performance of this computer model, the dependences of the image quality of the FPA on various physical and structural parameters were investigated and it was concluded that this model can be used at the initial stage of the development of the FPA to develop technical requirements for it and compare different layout options.

Keywords: computer modeling, FPA, image conversion, mathematical modeling, photodetector.

Full text:
FeshchenkoSoavtors_3_20_1.pdf

STAFF PERFORMANCE MANAGEMENT IN THE CONTEXT OF DIGITAL TRANSFORMATION OF ORGANIZATIONAL SYSTEMS


UDC 681.3
DOI:10.26102/2310-6018/2020.30.3.039

K.I. Lvovich

The article examines the characteristic changes in the staff activity in the conditions of digital transformation of organizational systems. It is shown that the changes are primarily related to the increasing role of the enterprise information system, which provides all types of interaction between the structural components of a new type of organization. With the functioning of the information system itself as a man-machine system, the importance of the effectiveness of staff activities increases. It is proposed to consider the process of staff performance management from the point of view of ensuring its adaptation to new labor functions in the conditions of digital transformation of organizational systems. The components of educational resources for basic and practice-oriented staff training are considered as management tools. The expediency of management decisions based on the optimization approach is proved. A sequence of tasks of reduction, aggregation-balance and resource optimization is formed, which allows you to choose a solution for a variety of thematic modules of preparation for performing labor functions in the conditions of digital transformation, taking into account balance and resource constraints. The resulting solution allows you to solve the task of managing the effectiveness of personnel activities, taking into account the types of activities and labor functions that differ significantly from the traditional ones.

Keywords: management, digital transformation, organizational system, optimization, educational resources.

Full text:
LvovichKI_3_20_1.pdf

SIMULATION MODEL OF THE RADAR ENVIRONMENT OF AN INTELLIGENT CONTROL SYSTEM FOR DISTRIBUTED RADAR FACILITIES


UDC 004.942
DOI:10.26102/2310-6018/2020.30.3.038

M.B. Sergeev, A.A. Sentsov, E.K. Grigoriev, S.A. Nenashev

The beginning of the mass use of small unmanned aerial vehicles for various purposes gave rise to the problem of their safe and controlled movement in space. Accordingly, the challenge arises of constructing new intelligent control systems. In the approximate list of actions that these systems should carry out, you can specify the control of the operating modes of each data source for scanning the airspace, obtaining information about moving objects, calculating the coordinates and direction of movement (component velocity vectors) from the processed data, as well as predicting the position of the air object to decide on the issuance of information to paired systems. The article describes the modeling process of a distributed system consisting of two mobile radar stations, applicable for developing methods for detecting and estimating the coordinates of airborne objects. For the simulation model being developed, analytical relationships are obtained for calculating the coordinates of the observed physical objects using both range-finding information and goniometric. A block diagram of the modeling steps for determining the trajectory coordinates of the object is proposed. The expediency of using a distributed system in order to improve the accuracy of measuring trajectory coordinates is shown. Various options for the location of spaced observation points are proposed, as well as their advantages and disadvantages. The model is built taking into account experimental data obtained from a simulator of an air moving object. The developed simulation model is designed to conduct experiments, as well as to determine the performance characteristics at the stage of development of functional interactions of the intelligent control system for distributed mobile devices.

Keywords: determination of coordinates, air object, two-position system, radar system, complex information processing, simulation model.

Full text:
SergeevSoavtors_3_20_1.pdf

SIMULATION OF EPIDEMICS: AGENT-BASED APPROACH


UDC 004.94, 616.9
DOI:10.26102/2310-6018/2020.30.3.030

A.F. Ageeva

The consequences of the epidemics can be extremely negative, causing significant social and economic losses. The perspectivity of using agent-based models for these purposes are substantiated using agent-based models of epidemics developed by foreign researchers as examples. An analysis of the architecture of agent-based models of epidemics is carried out, which allows determining the key components for modeling epidemic processes. The advantages of the agent-based approach of simulation are identified, which allow modeling the dynamics of the infectious diseases spread in a heterogeneous synthetic population as close to real society as possible, as well as reproducing numbers of patterns and mechanisms of transmission of specific contagious diseases, taking into account demographic, socio-economic and spatial factors. Applying the agent-based approach provides an opportunity to study the progression of epidemic and infectious processes at a micro-level, as well as run scenarios of epidemic outbreaks, test varied strategies for controlling the epidemic, and assess the impact of multicomponent intervention strategies on the epidemic dynamics.

Keywords: agent-based modeling, computational epidemiology, agent-based models of the epidemic spread.

Full text:
Ageeva_3_20_1.pdf

DISTRIBUTION MODEL OF VOLUMES AND PRICING OF A MATERIAL FLOW IN THE LOGISTIC CHAIN “THE PRODUCER – END USER”


UDC 519.816
DOI:10.26102/2310-6018/2020.30.3.029

A.S. Dulesov, I.A. Gimanova, O.L. Melnikova, V.I. Yakovchenko

The work considers the construction of an economic and mathematical distribution model of volumes and pricing in logistic channels of the single-market trade-brokerage network. The logistic chain “the producer – the end user” is investigated with successively connected agents through micromarkets. Conditions for a model construction are described. Each participant of a network has its own parameters. Special attention is paid to the coefficient of goods sale for each economic agent and for the whole chain. The problems for three and four participants of a sequential chain with a given price distribution and a uniform amount of product promotion are solved in practice (an ideal case that is not available in practice due to the uncertainty of the information in the form of random influences on the dynamics of the indicators). The solution based on the value of indicators is presented, taking into account the purchases/sales experience, individual preferences and the added price of each agent. On the basis of the obtained values of the sales coefficient of goods (when considering the real situation of the goods promotion), conclusions on the further behavior of participants in a chain are presented. The plan is proposed to adjust the results to the demand of the end user. Volumes and coefficients of realization of the goods with respect to balance between supply and demand are determined. The built-in economic and mathematical distribution model of volumes and pricing will make it possible to develop and make the decision on the choice of a transit or warehouse supply chain.

Keywords: modelling, trade-commerce network, demand and supply, logistic chain, сoefficient of goods sale.

Full text:
DulesovSoavtors_3_20_1.pdf

TWO-STAGE PROCEDURE FOR THE SYNTHESIS OF CONTROL OF NONLINEAR NON-STATIONARY OBJECTS USING A MULTILAYER PERCEPTRON


UDC 62-54
DOI:10.26102/2310-6018/2020.30.3.028

S.V. Frolov, S.V. Sindeev, A.A. Korobov, K.S. Savinova, A.Y. Potlov

The review of neurocontrol methods and analysis of their advantages and disadvantages is presented. The problem of searching of quasioptimal tuning parameters of neurocontrol for nonlinear non-stationary objects in the presence of random disturbances is formulated. A procedure for the synthesis of control for nonlinear non-stationary objects using a multi-layer perceptron, which consists of two stages, is presented. In the first stage the problem of finding a robust neurocontrol vector tuning parameters for adaptation algorithm based on the proposed set of variants of the model is solved. Founded tuning parameters for adaptation algorithm are used in the second stage – model-free neurocontrol, which searching for quasi-optimal tuning parameters for the algorithm of model-free neurocontrol. Stability of tuning parameters search procedure for the algorithm of model-free neurocontrol achieved by using the regularization method. Effectiveness and stability of the proposed procedure for the synthesis of control for nonlinear non-stationary objects are shown using the model example. In the numerical experiment, an object was chosen that was described by a nonlinear differential equation with coefficients that depend on time. At the first stage, 20 variants of the object model were randomly generated, the architecture of the neural network, the tuning coefficients of the adaptation algorithm were found. The neural network includes 2 neurons in the inner layer and uses a sigmoidal activation function. At the second stage, numerical studies of the adaptive control process were carried out. As a result of the adaptation algorithm, the degree of attenuation of transient processes exceeds 50% and the control process is stable with a significant deviation of the object’s parameters from the nominal values. The presented method is effective for the control of multiply connected non-stationary nonlinear objects in robotics, transport systems, and chemical industries.

Keywords: neurocontrol, neurocontroller, multi-layer perceptron, control system, adaptive control.

Full text:
FrolovSoavtors_3_20_1.pdf

MODELING OF CONTROL PROCESS OF INDUSTRIAL ORGANIZATIONS BASED ON RATING APPROACH


UDC 681.3
DOI:10.26102/2310-6018/2020.30.3.026

I.Y. Lvovich, Y.E. Lvovich, A.P. Preobrazhenskiy, Y.P. Preobrazhenskiy,
O.N. Choporov

The paper discusses the possibilities of modeling the control of industrial organizations based on rating approaches. There is a control center for control production facilities. It is proposed to organize the interaction of the control center with the facilities based on the rating score and then proceed to the rating control process. At the same time, the rating is used to analyze control, accounting, forecasting and regulation of the activities of the objects included in it in the analyzed production system. A model for the interaction of the control center in industrial production with the objects of the production system based on the classification criteria is formed. The structure of the interaction of the control center with the objects of the production system at rating control is given. Rating control mechanisms based on: control the distribution of resource support for the implementation of all areas of the main activity of the production system, control the coordination of interests of the control center and objects of the production system, and control the distribution of additional resource support for development, are considered. The block diagram of the implementation of mechanisms for rating control is given. The characteristics of modeling the interaction of the control center and objects of industrial systems are indicated. The results of rating assessment of industrial production objects are given on the example of growth in sales of enterprise products.

Keywords: production organization, model, rating approach, resource, management, control.

Full text:
LvovichSoavtors_3_20_1.pdf

COMPARISON OF THE EFFICIENCY OF DIFFERENT SELECTING FEATURES METHODS FOR SOLVING THE BINARY CLASSIFICATION PROBLEM OF PREDICTING IN VITRO FERTILIZATION PREGNANCY


UDC 519.683, 519-7
DOI:10.26102/2310-6018/2020.30.3.025

S.L. Sinotova, O.V. Limanovskaya, A.N. Plaksina, V.A. Makutina

Determination of the range of factors affecting the object of research is the most important task of medical research. Its solution is complicated by a large amount of diverse data, including extensive anamnestic information and data from clinical studies, often combined with a limited number of observed patients. This work is devoted to the comparison of the results obtained by various feature selection methods for the search for a set of predictors, on the basis of which a model with the best forecast quality was created, for solving the problem of binary classification of predicting the onset of pregnancy during in vitro fertilization (IVF). The data from the anamnesis of women, presented in binary form, were used as features. The sample consisted of 68 features and 689 objects. The signs were examined for the presence of cross-correlation, after which methods and algorithms were applied to search for a selection of significant factors: nonparametric criteria, interval estimate of the shares, Z-criterion for the difference of two shares, mutual information, RFECV, ADD-DELL, Relief algorithms, algorithms based on the permutation importance (Boruta, Permutation Importance, PIMP), feature selection algorithms using model feature importance (lasso, random forest). To compare the quality of the selected sets of features, various classifiers were built, their metric AUC and the complexity of the model were calculated. All models have high prediction quality (AUC above 95%). The best three of them are based on features selected using nonparametric criteria, model selection (lasso regression), Boruta, Permutation Importance, RFECV and ReliefF algorithms. The optimal set of predictors is a set of 30 binary features obtained by the Boruta algorithm, due to the lower complexity of the model with a relatively high quality (AUC of the model 0.983). Significant signs includes: data about pregnancies in the anamnesis in general, ectopic and regressive pregnancies, independent and term childbirth, abortions up to 12 weeks; hypertension, ischemia, stroke, thrombosis, ulcers, obesity, diabetes mellitus in the immediate family; currently undergoing hormonal treatment not associated with the IVF procedure; allergies; harmful professional factors; normal duration and stability of the menstrual cycle without taking medication; hysteroscopy, laparoscopy and laparotomy; resection of any organ in the genitourinary system; is it the first IVF, the presence of any surgical interventions, diseases of the genitourinary system; the age and BMI of the patient; absence of chronic diseases; the presence of diffuse fibrocystic mastopathy, hypothyroidism.

Keywords: feature selection, binary classification problem, small data analysis, machine learning, assisted reproductive technologies.

Full text:
SinotovaSoavtors_3_20_1.pdf

DECISION SUPPORT BASED ON ERROR REPORT CLUSTERING IN COMPLEX OPEN ENDED ASSIGNMENTS QUALITY CONTROL


UDC 004.85, 005.9
DOI:10.26102/2310-6018/2020.30.3.027

V.A. Latypova

There are processes among the processes of different organizations related to carrying out tasks, implementation of which is controlled manually. This is because of a lack of result-template for the tasks. There is only the system of requirements, which implemented task must satisfy. These tasks are known as complex open ended assignments in online learning. However, the tasks exist in other fields, for example, in the publication process, in the equipment and device production process, etc. Complex open ended assignment quality control stage is ineffective due to time-consuming work of an inspector, who checks the conformity of the tasks against the requirements and prepares feedback for a performer. Intellectual support is beginning to be used for a series of tasks. Intellectual support is based upon automatic task implementation classification with the use of machine learning. However, automatic classification can bring to incorrect task implementation quality assessment. Also classifier does not generate a detailed feedback, which fit for a revision of implemented task. A decision support method based on error report clustering, which allows to create a detailed feedback on implemented complex open ended assignments, is suggested in the paper. Special software, which in conjunction with existing clustering system Carrot2 executes suggested method, is developed. The software is introduced in online pre-defense of graduation qualification thesis process. This led to time reduction in feedback preparing by an inspector.

Keywords: data mining, Internet, crime, forecasting, electronic commerce, a posteriori probability.

Full text:
Latypova_3_20_1.pdf