# Category Archives: Issue # 2(25)

CALCULATION MODEL OF LEASING PAYMENTS OF THE RENTAL EQUIPMENT

UDC 004.942
DOI:10.26102/2310-6018/2019.25.2.031

A.A. Boyko, V.V. Kukartsev

This article presents a simulation-dynamic model for calculating leasing payments for leased equipment. The model was developed based on the system dynamics method using Powersim Studio tools. In the model shown, the calculations were carried out for financial leasing, regressive payment schedule and the method of minimum deductions. This article presents a simulation-dynamic model for calculating leasing payments for leased equipment. The model was developed based on the system dynamics method using Powersim Studio tools. In the model shown, the calculations were carried out for financial leasing, regressive payment schedule and the method of minimum deductions. As a result of experiments with options, various amounts of leasing payments (depreciation, credit (loan) payments, commissions, total leasing payments, etc.) were obtained. The study conducted allows us to conclude that the simulated-dynamic model constructed is quite universal and on its basis it is possible to conduct a variety of studies concerning various aspects of equipment leasing.

Keywords: leasing, equipment, depreciation, universality, economic and mathematical modeling.

Full text:
BoykoKukartsev_2_19_1.pdf

CREATION OF MAZE WITH MULTIPLE SOLUTIONS, SEARCH FOR ALL SOLUTIONS AND EDITING THEM

UDC 519.688
DOI:10.26102/2310-6018/2019.25.2.030

E.S.Simonyan, O.A.Medvedeva, S.N.Medvedev

This article considers the problem of creating a maze with multiple solutions, searching for all solutions and a possibility of editing them. First, we view two algorithms, which generate the most various mazes, and find their positive and negative sides. Then we choose the one most efficient and suitable for the problem. All maze creation algorithms, including two considered, are unable to reveal a definite number of solutions. Here we offer a modification of Wilson’s algorithm. Still we tend to think that all maze solving algorithms cannot find all possible solutions. Therefore, we develop a modification of Ant Colony algorithm. To edit mazes the two algorithms were developed: one by solutions lengths and another by similarity of solutions. The research was conducted in order to find dependencies between number of solutions and initial parameters. A computational experiment was made to find optimal number of ants within different initial parameters. Also there were evaluated efficiencies of two maze editing algorithms with different parameters.

Keywords: maze generation, Ant Colony algorithm, Wilson’s algorithm, computational experiment

Full text:
SimonyanSoavtori_2_19_1.pdf

THE USE OF MULTIVARIATE ANALYSIS TO ASSESS THE FUNCTIONALITY OF THE PROJECT MANAGEMENT SYSTEMS

UDC 004.9
DOI:10.26102/2310-6018/2019.25.2.029

E.S. Egorova, N.A. Popova

The relevance of the article is due to the existing complexity in the selection of software products that can effectively manage projects in various fields of activity. Therefore, for a full-fledged, diverse analysis of the systems represented on the industry market, it has been proposed to use a two-step method of formalized evaluation of the functionality of software and systems. As a result of the first stage, the results of a multivariate analysis of the software of automated project management systems currently on the market are presented. In the course of the criterion assessment, the functional and instrumental characteristics required for products of this type were selected. For each indicator, it has been proposed to use weights and ranking maps. The results of the analysis showed that the most important indicators for evaluating the automated project management software are: integration mechanisms with third-party systems, the possibility of networked multi-user interaction, technology for organizing business management processes in project management systems. At the second stage of the research, it was proposed, using functional and instrumental characteristics, to rank software products based on the opinion of experts in the field of design. For this, the method of verbal analysis of decisions was used. Thus, the evaluation of software products has allowed to conclude that in the market there are universal software that has its own advantages and disadvantages, but is not suitable for use in highly specialized areas. However, the method of verbal analysis of decisions based on the opinions of experts in the field of design allows you to choose the most effective tool for project management in a specific industry area.

Keywords: automated system, project management, software, project management, multivariate analysis, criterial assessment, ranking map,verbal analysis of solutions

Full text:
EgorovaPopova_2_19_1.pdf

ANALYSIS OF METHODS OF REGULATION REQUIREMENTS TRANSLATION INTO MACHINE-READABLE FORMAT FOR VERIFICATION OF BUILDING INFORMATION MODELS

UDC 004.94+721.021
DOI:10.26102/2310-6018/2019.25.2.028

E.V. Makisha

Currently, the project documentation is submitted for examination in the form of electronic documents that normally contain text and graphic information. Standards, which requirements the project documentation should meet during the examination, are published in electronic, but not machine-readable form. In recent years, specialists of the construction industry of Russian Federation fully realize the need of automated examination, which can be available if both sides of the process – design results and relevant standards – are presented in machine-readable form. This article reveals the results of existing approaches analysis how to transfer into the machine-readable form the regulation requirements for the building information model as a form of design results presentation for automated examination. The most promising of them is the language of knowledge representation based on the rules. There are criteria for machine readable presentation established and extended. The RuleML language is suggested as a solution, since it meets the criteria mentioned and is fixed in the regulation standards for information modeling. The RuleML based method of machine-readable requirements is acquired, which may in future be implemented within the transition to automated examination in the scope of Russia Federation and as a unified approach on the international level.

Keywords: construction, information modeling, construction system, construction cybernetics, verification of information modeling, automated check of information modeling, machine-readable standards

Full text:
Makisha_2_19_1.pdf

EXPERIMENTAL DETERMINATION OF THE OPTIMAL PARAMETERS OF THE RECURRENT NEURAL NETWORK FOR THE TASKS OF PATENT CLASSIFICATION

UDC 004.032.26
DOI:10.26102/2310-6018/2019.25.2.027

A.G. Kravets, A.S. Burmistrov, P.A. Zadorozhny

Indicators of patent activity are now often used in technological forecasting and competitive intelligence. An important role is to predict the development of patent trends in individual countries and around the world, which allows to identify the main priority directions of technology development. Analysis of patents in the field of analog technology was fulfilled. The international patent classification is outdated, most studies are interdisciplinary. There is a need to select and create new classes. The purpose of this study is to analyze the parameters that affect the results of the recurrent neural network, designed for the thematic classification of the patent array. The analysis of the identified parameters affects the quality of the neural network and the selection of optimal values. The optimal parameters of the neural network were determined: the number of layers, the size of the layer, the value of the exclusion parameter, the batch size for training in the network, the choice of the Keras library optimizer was made. The reported study was funded by RFBR according to the research project № 19-07-01200.

Keywords: trend, classification, patent, recurrent neural network, exclusion layer, optimizer analysis, batch size

Full text:
KravetsSoavtors_2_19_1.pdf

TECHNIQUE OF JUSTIFICATION OF ELECTRODYNAMIC AND CONSTRUCTIVE PARAMETERS OF CONSTRUCTIVE ABSORBING MATERIALS OF WAVEGUIDE TYPE

UDC 621.396
DOI:10.26102/2310-6018/2019.25.2.026

A.A. Ivenskiy

The paper proposes a method for substantiating the electrodynamic and structural parameters of waveguide-type materials, based on the developed model for the absorption of microwave radiation on impedance walls and the dielectric filler of structural absorbing materials of closed waveguide structures. The essence of the model, based on the methods of the theory of diffraction of electromagnetic waves in layered media, the laws of propagation of microwave radiation in waveguides, is that the electromagnetic field in front of the grating is considered as a superposition of the fields of the incident plane wave, mirrored from the “medium-material” interface, and scattered on the walls of the lattice material. An electromagnetic wave incident on the material, as it propagates deep into it, interacts with radio-absorbing walls. An approach is proposed for determining the reflection coefficient of a material, a feature of which is that a term is introduced in the expression for calculating the reflection coefficient describing an exponential decrease in the amplitude level (power flux density) of the diffuse component of the electromagnetic field when it propagates deep into the material and back impedance walls and dielectric filler of closed waveguide structures (short-circuited waveguide segments), and allowing becoming patterns between reflection characteristics of the structural material and the absorbent electrodynamic and design parameters.

Keywords: attenuation of microwave radiation, structural absorbing material, reflection coefficient, absorption coefficient, power flux density of an electromagnetic field

Full text:
Ivenskiy_2_19_1.pdf

SOFTWARE FOR TECHNICAL SYSTEMS MODERNIZATION SUPPORT

UDC 004.896
DOI:10.26102/2310-6018/2019.25.2.025

A.V. Kizim, A.V. Matokhina, A.G. Kravets, I.P.Medintseva

The paper describes the development of a system for representing knowledge about equipment as a technical system that combines models for representing knowledge about the structure, parameters, and functioning of the system. The architecture of the intellectual platform of monitoring, diagnostics, and modernization of technical systems at various stages of the life cycle is shown. The developed subsystems make it possible to analyze the current state of the technical system, predict subsequent states, carry out fault diagnostics and propose modernization options, taking into account the goals set, or based on the results of the analysis of the technical characteristics of the system. The classification of the main goals of equipment modernization is given. A description of the method of upgrading equipment for monitoring purposes, as the final product, and process equipment. The ontology of common industrial equipment is presented, including the classes necessary for building equipment modernization precedents, taking into account the goal of modernization. The proposed ontology includes a detailed presentation of data and knowledge on the main types of common industrial equipment, as well as diagnostic rules for troubleshooting certain types of equipment. A formal description of equipment modernization precedents is proposed. It shows the relevance of development for modern industrial enterprises, as part of the national program and the concept of modern production. The study was carried out with the financial support of the Russian Foundation for Basic Research in the framework of research project No. 19-07-01200.

Keywords: ontological engineering, production modernization, maintenance and repair, life cycle

Full text:
KizimSoavtori_2_19_1.pdf

MULTI-ASPECT DIGITAL ENVIRONMENT DESIGN OPTIMIZATION OF HOMOGENEOUS OBJECTS SYSTEM BASED ON THE PROCEDURES OF DECOMPOSITION AND AGGREGATION

UDC 681.5
DOI:10.26102/2310-6018/2019.25.2.024

Y.E. Lvovich, A.V. Pitolin, S.O. Sorokin

This article examines the functioning of the homogeneous objects system in the conditions of active digitalization. It is shown that the integral structure uniting all aspects of digital transformation is a multi-aspect digital environment, which requires constant improvement as new tools of digitalization develops. The arising task of designing that sort of an environment has an optimization nature. The optimal design system is proposed to build on the basis of a combination of descending and ascending processes of decision-making. The descending design basis is the formalization of the decomposition process of a multidimensional digital environment using a binary tree model. The ascending design procedures are based on models and algorithms of multi-alternative optimization with the determination of the dominant variants set based on the transition matrix of the Markov chain and the use of expert evaluation.

Keywords: optimal design, digitalization, binary tree, multi-alternative optimization

Full text:
LvovichSoavtori_2_19_2.pdf

MULTI-METHOD APPROACH TO THE MODELING OF COMPLEX SYSTEMS BASED ON MONITORING DATA ANALYSIS

UDC 681.3
DOI:10.26102/2310-6018/2019.25.2.023

Y.E. Lvovich, A.V. Pitolin, G.P. Sapozhnikov

The article justifies the necessity of building various classes of mathematical models of complex systems as well as the relevance of a multi-method approach to the processing and modeling of monitoring and rating information, due to the variety of management tasks and resource efficiency optimization management of a non-profit educational organization in combination with rating management. The starting points are tentatively reduced sets of input indicators influencing the output indicators of a management unit functioning. It is based on time series forecasting on the base of additive and elementary functions. The dependence of the output performance on the input ones is determined by the regression model with the inclusion of time variables. The transition from a regression model to a neural network model is carried out, to improve the accuracy of forecasting for the purpose of managerial decision making at a certain planning horizon. The transformation procedure of initial time series into statistical samples of their prognostic estimates followed by randomized training sample development is proposed. The paper also demonstrates that the multi-method approach to the modelling provides a solution to a number of tasks concerning complex systems resource efficiency management.

Keywords: forecasting, modeling, management, resource efficiency, randomization

Full text:
LvovichSoavtori_2_19_1.pdf

STRUCTURAL SYNTHESIS OF INNOVATIVE AGROTECHNOLOGICAL PROCESSES WITH THE APPLICATION OF GENETIC ALGORITHMS

UDC 519.876.2
DOI:10.26102/2310-6018/2019.25.2.022

D.A. Petrosov, V.A. Ignatenko, N.V. Petrosova, A.N. Zelenina

In the majority of existing models and methods of intellectual structural synthesis of simulation models of technological processes, the subject area of agricultural production is not paid attention. This paper discusses the possibility of using genetic algorithms as the main tool for model synthesis based on a given behavior, which is a given set of input vectors processed into a set of reference vectors. As a tool for adapting the evolutionary procedure (genetic algorithm), the use of nested Petri nets is proposed, on the basis of which a model has been developed that allows one to perform an intelligent synthesis procedure. The description of the element base of the components of the technological process is also carried out on the basis of the chosen mathematical tools, which allows it to be limited to one mathematical apparatus for solving the problem of intelligent structural synthesis of simulation models of technological processes. As a means for a preliminary description of the structure of the synthesized model, it is proposed to use modern methodologies for describing business processes, such as IDEF3. The paper discusses the technological process of fertilizer application, proposes the element base of simulation models of the technological chain components created using the PIPE v 4 software tool. Examples of the work of the proposed models and methods are given.

Keywords: technological processes, simulation modeling, theory of Petri nets, genetic algorithms

Full text:
PetrosovSoavtori_2_19_1.pdf