articles
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№ 6(96)
24 december 2021 year
Rubric: Software engineering Authors: Chursin A., Mamedova N., Nefedov Y. |
The study reveals the current methodological aspects of the development of cross-platform mobile applications. The theoretical significance of the research lies in the generalization and analysis of software products and IDE environments that provide cross- platform development, as well as code generation utilities. The results of a comparative analysis of cross-platform development approaches and the results of a comparative analysis of cross- platform mobile application development tools are presented. The factors that slow down the development of a cross-platform application are identified. Solutions for minimizing functional losses in the conditions of building a universal software product are indicated. Data on the use of Shell scripts was provided, which will increase the efficiency of using the code generation utility. The steps for integrating common logic into native projects are identified. The practical significance of the research results is represented by the methodology for developing cross- platform mobile applications using a combination of tools to remove the identified limitations. The study contains a set of sequential actions and conclusions that the researchers came to in the process of forming a methodology for the cross-platform development of mobile applications. The methodology will allow us to develop a cross-platform software product adapted for subsequent modifications and extensions. This material can be designed in the standard of the developer company in the format of an internal document (instructions) of the developer company. Continue... |
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| The relevance of the topic of the article is determined by the fact that the existing decision support systems (DMSS) provide automation of only part of the stages of a typical management cycle, completely imposing on the user such important ones as goal setting and management of the implementation of developed plans. This is determined by the objective difficulties of formalization and the dynamism of these stages, but breaks the single management process into autonomous, partially automated sections. No research is currently being conducted to solve this problem. Taking this into account, the purpose of the study was to obtain a descriptive formulation of the task of automating the processes of goal-setting and management for implementation in the DMSS. The article, using general scientific research methods, analyzes the content of the control cycle and the existing technologies for automating its elements. Using the results of the analysis, proposals were synthesized and the task was formulated to automate the stages of goal-setting and management of the implementation of plans, for implementation as part of the DMSS, approaches were proposed that can be used to implement the task.The problem of automating the initial stage of the management cycle, goal-setting, is proposed to be solved by using specialized expert systems. To solve the problem of decision support at the control stage, it is proposed to use simplified dynamic control algorithms. In a direct formulation, such a problem is posed for the first time. The article proposes a set of methods and basic algorithms that provide a solution to the problem of automating goal-setting and management processes and, in the future, their implementation in the structure of the DMSS. Continue... | |
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№ 6(96)
24 december 2021 year
Rubric: Processes and systems modeling Authors: Guryanova O., Filimonova E., Gnibeda A. Y. |
This work is devoted to the study of changes in color coordinates on various visualization devices during color reproduction, in particular smartphones, as one of the most commonly used devices in the modern world, which is associated with the hardware dependence of the color reproduction system. The purpose of the work is to select visualization tools, determine their technical characteristics, determine test colors for visualization on various devices, determine the tolerances in reproduction of each color when using various viewing devices. To achieve the goal, such tasks were set as the selection of images containing memorable colors. These colors are fundamental in determining the tolerances in color reproduction, since information about them is inherent in each person on the basis of his life experience and knowledge, and a change in the reproduction of memorable colors, a violation in color rendering, is the most visually noticeable. Memorable colors are converted into samples – test objects, which are used to determine coordinates in a device-independent color space. Determination of tolerances is made when changing color reproduction through the use of selective (color) correction. When solving the problem, it was noted that there are colors in which, with small changes in color coordinates, the visual component changes to a sufficiently strong degree, while other colors, with a numerically identical change, do not visually change. For the selected colors on various visualization tools, the difference in color reproduction is calculated and the calculations of color differences for different models of viewing devices with a visual difference in perception are given. Continue... |
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№ 6(96)
24 december 2021 year
Rubric: Processes and systems modeling Authors: Ivanyo Y., Barsukova M., Petrova S., Stolopova Y. |
The paper considers factor models that allow predicting the yield of agricultural crops. It is shown that the main climatic parameters that affect the effective feature are the air temperature and precipitation during the initial growing season. In this case, the factors of heat supply and moisture supply can represent values for both a month and another interval close to this duration. In addition to air temperature and precipitation, the yield of grain crops is affected by time. Models can reflect the relationship of the effective feature with factors at the level of experimental fields, agricultural organizations, and municipal districts. The presence of significant regression dependencies, which can be linear and nonlinear, reduces the uncertainty of the problem of optimizing agricultural production by reducing random and interval parameters. A model of parametric programming is presented, taking into account the expressions that characterize the relationship between the yield of grain crops and meteorological parameters in two variants, in order to obtain optimal plans for the production of agricultural products by the commodity producer. An example of the implementation of an optimization model for a real economy is considered. The proposed model is designed to support decision-making in conditions of uncertainty. The work is carried out according to statistical data on the yield of wheat, barley and oats in the Usolsky, Cheremkhovsky and Irkutsk districts for 1997-2018; based on the yield of variety plots in the Usolsky, Irkutsk, Bratsky and Nukutsky districts for 2000-2018 according to the data of the State Export Commission; based on the yield of LLC "Sibirskaya Niva" for the period 2005-2018. In addition, daily air temperatures and daily precipitation in the period May–August for 1997-2018 were used for meteorological points: Usolye-Sibirskoye, Cheremkhovo, Irkutsk and Bratsk. Continue... |
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№ 1(97)
31 january 2022 year
Rubric: Performance management Authors: Zubanova A., Aleksahin A., Morozov A., Novikov S., Trubin A. |
The article justifies actuality of application of neural network methods for identification of significant predictors of the transport and logistics infrastructure of regions of the Russian Federation. The condition of the logistics industry of the Russian Federation in comparison with foreign countries has been analyzed. It was concluded that it is necessary to increase the accuracy of estimation of indicators of transport and logistics infrastructure of regions in order to identify their impact on the development of logistics. The problem of the traditional methodology of building a model of transport and logistics infrastructure of regions based on the application of mathematical and econometric analysis lies in the inability of the latter to find and accurately describe the non-obvious dependencies in the data. The expediency of sequential coupling of econometric and neural network research tools has been determined. The two-step procedure of identification of factors influencing the logistics development of the Russian Federation has been tested. As a result, it was possible to select the most significant socio-economic (average per capita income of the population, retail trade turnover, imports of the subjects of the Russian Federation) and infrastructure factors (the share of paved roads, the shipment of goods by public rail, the departure of passengers by public rail, the density of public railway) logistics infrastructure on the basis of an econometric approach. In the second step of the study, a neural network model of the remaining factors was developed based on the development of classification trees and a neural network, acting as a kind of computational filter, which allowed solving the problem of attribution of macroeconomic data and achieving a high level of significance of forecasts. The proposed approach of sequential coupling of econometric methods and neural network modelling has universality and practical importance, therefore it is applicable to the study of a wide range of macroeconomic processes. Continue... |
| The issues of information support for decision-making during periodic maintenance of gas-cylinder equipment of vehicles running on natural gas, ensuring safe operation, contributing to an increase in the efficiency of transportation of goods and goods: reducing vehicle downtime due to failure of the fuel system using gas fuel by 10–18%; reducing the likelihood of functioning of gas equipment in hazardous modes by 12–17%. The technical requirements for gas equipment and procedures for its periodic maintenance are formulated. The concept of the formation and application of a unified state register of gas equipment, which is a tool for limiting admission to the turnover of products that does not meet regulatory and market requirements, is proposed. An information-logical model of decision-making support has been developed, which allows, depending on the current technical condition of assemblies and parts, based on the specified requirements for the duration of the period between maintenance, to propose the best option for carrying out diagnostic, repair and commissioning measures for gas-cylinder equipment of vehicles. The procedure for the formation of an extended list of measures for periodic maintenance of gas equipment is presented on the example of individual nodes of the fuel system of a vehicle running on compressed natural gas. The software implementation of the information- logical model is carried out in the form of a plug-in extension to the database core of the decision support information system for the operation of gas equipment, implemented on the Oracle database management system with integrated support for the high-level object- oriented language Java. For the convenience of working with the information-logical model, a computational and analytical module of the information system for decision-making support during the operation of gas-cylinder equipment with elements of fuzzy logic has been developed. The model was tested on the example of the implementation of measures during the periodic maintenance of the gas equipment of the KamAZ 65116 truck. Continue... |
