articles
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№ 5(77)
30 october 2018 year
Rubric: Educational environment Authors: Kashinskaya I., Korovkina N., Levochkina G. |
The article highlights the importance of personnel training for digital economy. A list of the most
demanded soft skills necessary for future jobs in industrial sector has been formed according to the
results of foreign and Russian research. The list includes complex problem-solving, social, process
and systems skills, and cognitive abilities. The research conducted by the authors is focused on the
soft skills formation and development, which is relevant both for employers and universities which
train specialists. For training of the skills mentioned above such interactive forms of learning as case
study, round table and computer business simulator are suggested. The article studies the experience
of practical usage of each of these forms in the discipline of «Business Informatics» in bachelor’s and
master’s degrees programs, gives some examples and specifics of application. By modeling the processes
of interactive classes, the link has been established between the activities performed by students
and certain skills formation. The specification of interactive activities has made it possible to
work out a differentiated approach for formation of soft skills of the future and recommend such interactive
forms of training students for their further development. In this case soft skills are formed
in line with acquisition by students of competences stipulated by the educational standards of higher
professional education.
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When building a logistics system of any organizational structure, the problem of determining the
optimal routes for cargo transportation is solved. The paper presents the formulation of the logistics
routing problem, which as a criterion of optimization is considered to minimize transport costs included
in the cost of the final product. A complex routing algorithm based on the application of a genetic algorithm
in which the formation of the initial population is carried out using a modified A-star algorithm
and the Yen method is developed. As a result of testing the developed algorithm, the optimal values
of the algorithm parameters are obtained, at which the performance and high computational efficiency
are achieved. The developed algorithm is implemented in the program «Information and analytical control
system of fuel supply of the region with alternative fuels». The routing algorithm was used in the
construction of the optimal logistics system of fuel supply of the Udmurt Republic to transfer the distributed
heat supply system to renewable energy sources. With the help of this algorithm, the optimal
routes of transportation of wood raw materials from the points of accumulation of raw materials to the
points of fuel preparation and the optimal routes of transportation of fuel from the points of fuel preparation
to heat sources for the distributed heat supply system of the Udmurt Republic are constructed.
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The actual voltage steady-state load characteristics are necessary for effective and reliable operational
management of electric power systems. The actual voltage steady-state load characteristics
for connection allow to calculate the values of active and reactive power from the applied voltage in
a steady-state mode at a constant frequency. This will allow accurately predicting consumption schedule
of electricity, increasing the static stability and loading power lines. One of the main difficulties
in updating the voltage steady-state load characteristics is the lack of tools for processing voltage and
power measurements. The author’s algorithm and the architecture of its software implementation are
proposed in the article, allowing to automate the process of obtaining actual voltage steady-state load
characteristics. The developed algorithm is based on data mining methods such as cluster analysis, filtering,
regression analysis and others. The software product is designed in accordance with the provisions
of the service-oriented architecture and has a decomposition by layers, where each layer has its
own functionality. The results of the software calculations can be used in any software products that
support the CIM standard. In addition, the possibilities of integrating the developed software with corporate
applications used by SO UРS are discussed. Preliminary considerations on this issue were addressed
in the report [1]. This report is devoted to the description of the software.
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№ 5(77)
30 october 2018 year
Rubric: Information infrastructure Authors: Dli M. I., Bulygina O. V., Kozlov P., Ross G. |
The study of tasks and methods of automated text rubrication was conducted and their prospects
for the analysis of unstructured electronic text documents were evaluated taking into account
the peculiarities of appeals received from citizens to the authorities. The architecture of the
information system of automated analysis of such documents is developed. It implements the
proposed multi-model approach to the rubrication based on the integrated use of intelligent and
probabilistic-statistical methods. The procedure of processing citizens’appeals received by the authorities
using the document management system and the developed information system is given.
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Information exchange is the basis for the development of the digital economy. It is based on infrastructure
that will be a provider of up-to-date data on basic objects and dictionaries for transactions
with these objects. Currently, a large number of projects and initiatives are being implemented
in the digital economy. Information assets are a key factor of development in all spheres of social and
economic activity of the digital economy. The digital economy requires a purposeful work with data
where all information exchange participants should be involved: ministries, departments, companies
and other organizations. The paper shows the principles by which you can build an agreed policy in
the data field, in particular by using data model templates. This article is based on the Russian and international
experience in creating an information eGov infrastructure for delivery of government and
corporate e-services. The article uses the experience of creating a such infrastructure in the public sector
of the European Union, the United States, and the corporate sector.
The article describes the main approaches to creating data templates in a digital economy. The use
of templates will allow you to quickly create models, easily read them, avoid global errors at the operational
level of management. The templates will allow the coordinate policy in the goal-setting level,
linking the individual strategies at the upper level management.
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The task of determining information security state of objects using the information of signals of
electromagnetic emissions of individual elements of devices of cyber-physical systems was investigated.
We consider the main side channels of information with which it is possible to monitor the state
of the system and analyze the software and hardware environment. Such «independent» methods of
monitoring allow analyzing the state of the system based on external behavioral characteristics within
the framework of conceptual models of autonomous agents. The statistical characteristics of signals
allowing to identify changes in the state of local devices of systems are considered. Was described an
experiment aimed at obtaining statistical information on the operation of individual elements of cyberphysical
systems. The efficiency of the neural networks approach for solving the described classification
problem, in particular, two-layer feed-forward neural networks with sigmoid hidden neurons
was investigated. The results of the experiments showed that the proposed approach is superior to the
quality of detection of anomalous states by classification based on internal indicators of the functioning
of the system. With minimal time of accumulation of statistical information using the proposed
approach based on neural networks, it becomes possible to identify the required state of the system
with a probability close to 0.85. The proposed approach of the analysis of the statistical data based
on neural networks can be used for definition of states of information safety of independent devices
of cyber-physical systems.
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