Journal archive
IT business |
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Business information systems |
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There are a lot of practical articles and scientific works devoted todevelopment and implementation
of ERP systems, however, the rapid development of information technology, the change in
the situation in the it market caused by the introduction of sanctions and focus on import substitution
allow to evaluate the possibilities and prospects of automation of domestic enterprises. To
discuss this topic on June 26, 2018 a meeting with the General Director ofthe «System Business
Components» company Nalivayko S. V. and the Deputy General Director for Science and
Development of the «System Business Components» company Strahov O. A. with the head ofInformation
Systems Department of the «Synergy» UniversityDenisov D. V. was organized.Maleeva L. A.,
studying journalism in the Moscow Humanitarian University and now our intern, represented the
«Applied Informatics Journal» editorial board in the conversation and the preparation of the material.
The result of this meeting — interview published below.
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IT management |
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Resource management |
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The problem of designing a cyberphysical system used as a service for Smart buildings control using
Internet technologies — Internet of Things (IoT) is considered. Such software platforms are part
of the complex systems of the BEMS — Building Energy Management Systems and are an instrument
for implementing energy savings in buildings. IoT servers and controllers form a management infrastructure
in which the mechanisms of adaptation and data mining, which are continuously received
from a large number of nodes, play a special role. In the absence of standards for the implementation
of BEMS based on IoT, as well as increasing requirements for the composition and functions of analytical
support, there is a need to unify software architectures and ensure their effective implementation
in solving practical problems. Software component unification, including the scenario manager,
provides operational software implementation using various information technologies, including cloud
or foggy computing. The presented architectural templates clearly illustrate the possibilities of scaling
and developing services for managing intelligent buildings using IoT. The projected open SaaS architecture
software platform is an effective means for buildings energy managing with a contour of Data
Mining. It can be used for replication of knowledge about the energy efficiency in buildings, including
the use of renewable energy sources.
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Performance management |
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The article is devoted to solving the problem of improving the strategic management of industrial
enterprises in conditions of uncertainty created by fluctuations in the external and internal environment
conditioned by the current economic and political situation in the country, as well as market conditions.
The purpose of the article is to develop tools that support decision making when choosing strategic
guidelines for the development of enterprises using economic and mathematical methods. A study is
made of the system of strategic management of an industrial enterprise with the property of development
based on the application of the methodology of system analysis. The model of the process of strategic
management is developed in the form of a logical structure containing a joint solving procedure
for solving problems, starting with the study of the external environment and the development of the
mission, and ending with the creation of an economic and mathematical toolkit and its use to evaluate
decisions. Economic and mathematical tools have been built to support decision-making regarding the
strategic guidelines for the development of an industrial enterprise in conditions of stochastic uncertainty.
As a characteristic of the profitability of strategies chosen profitability. The toolkit is created in
a class of simulation models and allows to reproduce the dynamics of a company’s profit and capital
expenditures by the method of statistical tests, as well as to forecast on this basis the profitability of
various options for strategic orientations of the enterprise’s functioning. The constructed economicmathematical
models are algorithmized and implemented in a software product that allows the strategic
manager to scientifically and quantitatively substantiate the decisions made in the dialogue with
the computer. The article demonstrates the work of the software product in the course of simulation
experiments and their processing in assessing the selected strategic benchmark in terms of profitability.
The built model toolkit is intended for use in industrial enterprises to support strategic decisions.
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IT and education |
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Educational environment |
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Creation of an information and communication infrastructure of the digital economy requires specialists
capable of initiating, developing, and implementing projects the necessary software products,
information resources and technologies. In Russia there is still no scientific specialty exactly named
Software Engineering for the training of post-graduate students and doctoral candi-dates. Moreover,
such a specialty is missing in the list of scientific specialties on which the degrees of the candidate and
the doctor of sciences are defend-ed. The article provides an analysis of the status of Russian higher
education in the field of bachelor’s and master’s training in Software Engineering and related specialties
and formulates a proposal to include Software Engineering in the Nomenclature of Specialties
of Scientists of the Russian Federation. To solve this problem, it is necessary to organize training for
specialists in this area at the third level of higher professional education, namely the training of PhDs —
candidates and doctors of sciences — in the field of Software Engineering. The research is partially
supported by the grant RFBR 13.15.202.2016.
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Software engineering |
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Software development technologies |
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The present article is devoted to the analysis of characteristics of methods of installation of cloud
ERP-systems. The goal of this work is to develop the algorithm that allows to select most effective
method of installation of cloud ERP-systems. This can help the head management of the company in
decision making. It also helps provider to improve services. An object of research is process of selection
of a method of installation of cloud ERP-systems. With growth of the company the operational
load increases, such changes require extension of functionality of enterprise information systems that
first of all is reflected in ERP-systems. The problems in processes and control mean a need of transition
to cloud ERP. This article provides study of the possibility of transfer of the existing ERP-systems to
the cloud environment, comparement of characteristics of different installation methods and contains
conclusions regarding the efficiency of installation methods for different specifics of the enterprises.
The analysis shows that it is necessary to study needs of the organization and specifics of its business
activity first. SaaS suits many companies in terms of simplicity and short term. Hybrid solutions allow
some companies to save old production scheme while granting the flexibility of the processes that are
not connected to production. The on-premises model loses its relevance as the functional capabilities
and reliability of cloud computing constantly grow. The implemented solutions stop companies from
using cloud ERP. However, hybrid solutions allow to save investements made into ERP while providing
efficient cloud solution.
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Network Technologies |
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The article examines the relevance of development architecture the cloud internet-service for organization
application workflow on the scientific conferences. The main goal of the development is the
building of digital scientific community to unite scientists, publishers and conference hosts. Article
describes a functional set for automatic deployment of a customizable web-resource that can be easily
configured to provide individual interface for processing application based on organizer’s purposes.
Organizer can operate flexible model if fields which provides a wide range of functions for designing
applications forms. Such model can provide a fields order, their types and additional options for each
application in different sections. Every project can be divided into sections and each section can be
operated by different persons. Each application has a status that shows a progress of revisited work.
There are a four kind of status: approved, declined, in process, incomplete. Approved works automatically
publishing on a user web-resource. All approved works also will be published on a automaticallygenerated
digest that can be printed or uploaded on a web-site as electronic resource. The system can
generate several kinds of a output documents like a digest, spreadsheet with statistics, programme of
the event and so on. The internet-service that developed and described in the article can be interested
by universities and scientific organizations. It optimizes a workflow of different events and decrease
of routine tasks by digitalization.
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Information infrastructure |
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The task of the study: to compare the difficulties identified in practice with the integration of information
systems (IS) with the most promising approaches to their solution; thus, to identify the prerequisites
for the creation of a full-fledged method of IS integration. The practical significance of this article
is associated with the growing complexity of projects for the integration of information systems
and the need to improve the efficiency of project teams. Before the trial integration project in a large
retail company there was attempt of classification of issues for three levels: organizational, semantic
and technical (according to GOST 55062 – 2012). The search for promising approaches to solve the
most typical problems arising at the technical level was carried out.
The most significant conclusions are: 1. The relevance of the current national standard GOST 55062 – 2012 both for systematization of potential problem situations and for building a plan for the future integration of information systems is confirmed. 2. The relevance of micro-service architectural style for solving most typical problems of integration of is of technical level is experimentally confirmed. |
Simulation |
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Theory and practice |
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The article describes simulation model of search queries to database with logical operations on hierarchical
bitmap indices. Proposed approach considers bitmaps on time property and combines multileveling
of bitmaps with their binning on sequence of different time units. The input data are distribution
of creation new records flow and distribution of query time interval, the varying condition is
bitmap hierarchy, the model output is average number of OR/XOR logical operations to satisfy query.
The target is to choose bitmap indices hierarchy, that minimizes this number. Simulation technique for
such kind of model is very special, that is why model is manually implemented on C language in order
to carefully cover all its features. Much attention is payed to output analysis as stopping rule when
required confidence interval for target parameter is obtained. Mathematical background of model includes
random number generators and some numerical methods, such as least square method, integration
and spectral analysis. Model verification is provided by several ways, in particular, by comparison
with existing analytical model results when input distribution is exponential. Several experiments
confirm existence of optimal hierarchy and were carried out for different kinds of distributions including
heavy-tailed. Graphical illustrations of simulation results are presented.
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Laboratory |
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Models and Methods |
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The analysis of electronic text documents written in natural language is one of the most important
tasks implementing in systems of automated analyzing linguistic information. Today the most complicated
problem is analyzing unstructured text documents coming to various organizations and authorities
through the electronic communications. The increasing volume of such documents leads to
the need to rubricate incoming messages, i.e. to solve the classification task.
The analysis of the scientific works in this field has showed the impossibility of constructing a unified
model for rubricating unstructured electronic text documents in various situations. The main reasons
are the lack of statistical data, the dynamism of the thesaurus and the small size of the incoming
document.
To solve this problem, we propose a multimodel approach to the rubrication that is characterized
by the combined use of intellectual and probabilistic-statistical methods of the text document analysis.
The choice of a specific model is carried out using fuzzy logic algorithms based on the proposed
characteristics (the size of document, the degree of rubric thesaurus intersection, the frequency of
meaningful keywords, etc.).
The implementation of the proposed multimodel approach will improve the accuracy of attributing
unstructured electronic text documents to concrete rubrics taking into account their specificity and
various objectives of practical application in the organization.
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Classification problems represent the group of machine learning methods where each instance is
associated with a certain category or label. An individual classifier like Neural Networks, or Decision
Trees is conventionally trained on a pre-marked or processed data set. Depending on the parameters
distributions the data sets may feature issues when all the indicators are not learned efficiently by such
a classifier, and this results in an inconsistent performance on the test sets. Ensemble classifiers denote
a set of individual classifiers algorithms that are simultaneously trained in a classification problem. The
paper aim is twofold. We present an ensemble of classifiers approach with a high predictive power for
the Russian trade-related companies bankruptcy prediction. At the first stage we split the data into a
train set (70%) and a test set (30%). At the second stage the precision of standard algorithms is measured
as applied to the empirical indicators of the data. The algorithms are trained and tested, and then
compared via the performance metrics. The standard algorithms include: random forest, decision trees
and the modifications: the chi-square automatic interaction detection (CHAID), classification and regression
trees (CRT, C5), Quick, Unbiased, Efficient, Statistical Tree (QUEST), discriminant analysis
LDA, support vector algorithms (LSVM, SVM), neural networks (multilayer and radial). Based on the
ROC-curve metrics and the prediction ability of the algorithms we select the most efficient methods
that form the ensemble of classifiers algorithm. The empirical data set included 713 trade companies
(334 — known bankrupts). The results feature the efficiency of the ensemble of classifiers algorithms
based on the simple voting (the precision metric outperforms the one of the other individual algorithms,
e.g. random forest, SVM, Logit). We also show that including the macroeconomic factors improves
the prediction power of almost all studied algorithms by at least 8%. Given that, more sophisticated
variations of the classifiers such as multilayer neural networks and random forests demonstrate higher
precision and recall with the external variables employed in the training process.
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Theoretical approach |
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Information sistems |
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The development of information technologies and it infrastructure is radically changing society,
management and public administration. However, there is no clear for all stakeholders common system
of concepts in the field of it, providing mutual understanding between them, a coherent view of the
changes. Therefore, it is necessary to build a basic system of concepts that allows to structure and analyze
the changes in a complex way. The article considers such a system of concepts, including terms:
conditions, object, subject, situation, object activity and others in connection with the trend of virtualization
of the properties of the object environment surrounding a person. This allows us to structure
the technical and socio-economic phenomena described by the metaphors of the Digital economy, the
Internet of things, Industry 4.0 and others. The proposed approach will provide structural completeness
of the description of situations, contribute to the solution of problems of semantic interoperability
and goal-setting. Such an approach can be applied in the process of analyzing the functionality of
information technologies, in the development and support of information technologies throughout the
life cycle, can be a conceptual basis for the development of new information technologies and in the
search for their new applications.
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Information security |
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Data protection |
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DDoS-attacks are included in the top-10 network attacks and lead to serious failures in the work of
web-resources. In the paper DDoS-attacks, their classification and methods of protection are considered.
Particular attention is paid to the most common type of DDoS-attacks ‒ SYN-flood attacks, correlation
analysis of their time series and forecasting. In the paper, the correlation analysis of the time series of SYNflood
attacks is implemented, the coefficient of data autocorrelation and seasonal indices are determined.
The forecasting of SYN-flood attacks for the coming quarters of 2018 and 2019 was carried out using
simple exponential smoothing. During the investigation, it was revealed that protection against DDoSattacks
should be implemented taking into account the mechanism of DDoS-attack. Depending on it, you
should use hardware, software or mixed protection. Investigation of SYN-flood attacks showed that this
type of attacks is the most dangerous: acting at the network level and clogging the network channel with
parasitic traffic, SYN-flood attack destroys the end equipment. The correlation analysis of the time series
of SYN-flood attacks showed that they are seasonally characterized: the greatest number of attacks is expected
in the first and third quarters of 2018 and 2019. For DDoS-attacks lasting up to 4 hours, seasonality
in the first quarter of the calendar year was also revealed, which means that in the first quarter of 2019
the greatest number of attacks of a given duration should be expected. The relation between SYN-flood
attacks and attacks of up to 4 hours is moderately strong, not critical, can be traced when the delay is 3
lag time (in our case, 3 quarters). According to the forecast made using the simple exponential smoothing
method, 57.1% of DDoS attacks of the SYN type are expected in the second quarter of 2018, in the
III and IV quarters of 2018 their number will be respectively 55.35% and 57.12%. In the first quarter of
2019, 58.73% of SYN-flood attacks are expected, in the II quarter of 2019 ‒ 57.08%.
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