Journal archive
IT management |
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Performance management |
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This article is about efficiency assessments and decision support tools for geographical information
systems. In this article described new suggestion and solutions of the decision support problem in the
sphere of applying geographic informational systems and the way they used in busyness-process management.
Authors suggest using busyness-processes models with a GIS tools in order to provide information
about result forecasts and resource use efficiency to the one who make a decision. Prototype of
the system, which implements all of these suggestions, were developed by the authors and described
in the end of this article. Key feature of this system is represented by idea, that planning in terms of
tasks and operations can’t clearly show the real situation, where all actions are connected and use the
one single scope of resources (human resources, technical resources, materials, documents, e.t.c). In
other words, planning should be performed in terms of business processes and business process resources.
In that way, experts and planning-tool users could be provided with enough information about
resource using efficiency and predicted results (forecast) in order to achieve higher level of the decision
support for users. In this article authors describe an example of the agriculture planning using
business-process models and ontological knowledge base.
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Comprehensive, accurate and qualitative information is the basis of research, decision-making and
management activities at different levels and applications. The non-trivial cases to obtain data related
to the solution of complex problems and requires establishing special data collection or monitor system,
the traditional approach to the construction is based on pre-formed requirements derived from
system analysis stage. However, the actually observed processes due to their unpredictable character
are typically different from expected ones having highly variability of their parameters’ values and
behavior styles thus reducing the originally built monitoring system efficiency because of ever-growing
discrepancy between the initial objectives and actually observed environment. The solution may
exist in creating a system of adaptive monitoring, featuring flexibility to change its structure and behavior
depending on changing conditions. The paper describes the fundamental concepts for building
systems in an adaptive manner taking into account and generalizing the accumulated experience
of implementing this approach. We indicate the possible adaptation areas, describe the main system
components and objects, such as triggers and indicators, enumerate the requirements they should meet
and enlist the recommendations for their design. In addition, the possible IT technologies, platforms
and application systems examples that implement an adaptive monitoring approach are highlighted.
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Software engineering |
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Defense software |
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One of the approaches of adaptive tuning subsystem information security of information systems
based on an assessment of risk level to overcome the informational security subsystem offender system,
using reasoning mechanisms precedents and neuro-fuzzy inference. Analysis of the functioning
of the information security subsystems shown that the destructive effects on information systems lead
to a change in its current state, and the risks successfully overcome the security subsystem may increase
substantially. At the same time, risk assessment means analysis showed that the application of
the existing approaches to their assessment does not take account of what their change in the operation
of an information system, and does not solve the problem of information security subsystem reconfiguration
to reduce the risks to overcome values. In the event of an information system on the state of
a safe state for the assessment of risks to overcome information security subsystem uses a hybrid subsystem
risk assessment, which includes in its composition two modules: information risk assessment
module based on arguments by precedents and information risk assessment module based on neural
network ensemble. The input data are the values of the parameters of the information system, describing
its current state, and the output generates a control effect on the reconfiguration of resources and
information security subsystem mechanisms.
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Software development technologies |
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The complexity of information processing caused the increasing the level of software abstraction and
forces the changes of the process of creating this type of products. Functional stages of the software
development process in practice are implemented in a variety of models and methodologies. Needs to
reduce the time of software development led to new approaches, methods and tools of the organization,
implementation of this process. The paper outlines the modern trends in the reduction of routine
operations in designing, coding, testing, deployment and documentation software, and analyzed the
implementation of these tendencies in the form of a series of tools to automate one or several aspects
of software development. The following aspects are discussed in the research: unification of techniques
and technologies, containerization, migration to the cloud, continuing integration of processes
and data, promotion of declarative programming approaches and languages, focused on math and statistical
processing of BigData, multiparadigmality of languages and raising the level of their abstraction.
There are examples of transformation of classical concepts of software development to the present
state through all steps of the process: from requirements analysis to implementation and maintenanceaccording
to the current needs and capabilities of the IT market. The possible ways of changing
the users and professionals competencies in the field of information technology (IT) are described.
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The aim of the research is to analyze the methodological aspects of the decision support systems
(DSS) processing and the DSS substantial classification. The novelty of the results lies in the fact that
classification features and their possible values, being the subject and the goal of such a system, are
suitable to the designed managerial decisions, as well as the classification can be used to create a specific
DSS. Hypothesis: it is possible to allocate classification features of DSS, the list and the contents
of which will determine the substantial (enlarged) DSS classification suitable to the construction
of concrete DSS. Also, the selected classification features and their values can be used to construct
DSS content, i. e. to design a block structure of created DSS. Method of research: systematic and
logical analysis on the base of the subordination of the created DSS to aims and content of the generated
managerial solutions. Results: based on the reasonable classification features and their values
the substantial classification of decision support systems is built, as well as the block structure of the
DSS, considered in the wide, and in the narrow sense as well. The research is supported by the grant
RFBR 13.15.202.2016. The results published in the paper were presented at the International Scientific
Conference «New Challenges of Economic and Business Development — 2016. Society, Innovations
and Collaborative Economy», Riga, http://www.evf.lu.lv/conf2016.
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Algorithmic efficiency |
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Nowadays the 3d printing lets us produce cheap retina scanners. Researchers have printed an ophthalmoscope
adapter for a smartphone to observe a retina using the smartphone camera. Thus, the main
disadvantage of the retina scanners disappears; moreover, the invention lets us use retina based biometric
authentication and automatic disease detection systems using only the smartphone. Both the biometric
authentication systems and the automatic disease detection systems require features characterizing
the identity or the disease. Such features are blood vessels and this article is devoted to detection
of them. Two algorithms of the blood vessels segmentation based on median filter and Gabor filters are
developed and represented. Steps of preliminary image processing also are described. The first step is
contrast enhancement based on using green channel and contrast limited adaptive histogram equalization,
and the second step is background exclusion based on high frequency filter. The first segmentation
algorithm uses automatic thresholding Otsu, median filter and filter by length. The second algorithm
uses Gabor filters and analyzing histogram of the image applies automatic thresholding. To estimate
the performance of the proposed algorithms, tests have been conducted on the two databases:
DRIVE and STARE. The results show that the segmentation algorithm based on median filter can be
applied both in the biometric authentication systems and in the automatic disease detection systems.
The second segmentation algorithm requires lots of computing power, and therefore can’t be applied
in the biometric authentication systems. The 3d printing technology lets us use the retina scanners by
almost any smartphones and further researchers in development of the retina based automatic disease
detection systems provide detecting of the blood vessels disease in the early stages and monitoring progression
of the disease only by our smartphones. It will undoubtedly improve the level of healthcare.
Project materials are available at https://github.com/forcesh/authentication_based_on_retinal_images
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The article shows an approach to design a set, used for text equivalent search. Similar tasks are
analogous to duplicate searching, evaluation of authority and plagiarism, library search organizing
and Internet search systems. To solve this task there are different approaches, focused to meaningfulness,
philological features of a natural language and stylistics. This approach takes into account a set
of features: word frequency, punctuation, morphemic word structure, letter case and artifacts of texts
(letter-digital compositions). Every text, which used for comparison, previous processed according to
the set of features. As a result is formed mask of a text, used as a basis of data for a comparison algorithm.
The software for text equivalent search and the comparison algorithm are implemented on the
Java programming language. Computational experiments included different variants of the algorithm
of search set designing are attended. The software is tested on a set of texts, which includes both original
texts and modifications of them. As a result of computational experiments, areas of growth are defined
and a pattern of software modules communication is showed.
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Models and methods |
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The research goal was initially to develop a network (graph) database (DB) of wide applicability for
representing the meaning obtained from a text in a natural language (general DB). Since the meaning
descriptions of the physical world are often encountered in texts, it was required to separate the DB
part (named the physical DB) intended to describe the spatio-temporal and cause-effect relationships
between objects. The article draws attention to this part of DB because it can be used not only in NLP
but also in many other areas: automatic systems of mobile technical objects for orientation in space,
virtual reality, etc. The physical DB describes the physical world from the standpoint of subjective
perception by a person or a technical object. The object-attribute approach to the data structure underlies
the general and physical DB. An organization principle and a rigid format were developed for
the general DB, and the information search technology and a principle for obtaining new information
on the basis of the already existing information are additionally developed for the physical DB. The
physical DB can describe practically all possible characteristics of objects and relations between objects
in the real world: relative position of objects, direction, shapes and dimensions of objects, metrics,
relationships between cause and effect. The real world perception subjectivity is ensured by the
application of the theory of fuzzy sets and linguistic variables.
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The article deals with analysing of the process of building information system architecture. It was
revealed that the description or the general architecture of the information system is a composition of
descriptions of models built in different notations, using differing semantics. Means and methods for
constructing these models can be separated into independent subsystems in the system providing target
information system design, and the general architecture of the target system depends on the characteristics
of providing the system. Revealed the composition of subsystems forming system provides
design-time Web information system. Ontology developed to formalize the description of information
system architecture that provides the opportunity to determine the configuration of the project development,
system model, and the relationship of ontologies used to represent the sub-systems. We propose
a method of matching the descriptions of models allows you to shape the description of the overall
architecture of the target system and describes the unified metamodel of object system which can
be used for domain-driven design of database system.
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Laboratory |
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Researching of processes and systems |
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Presented research problem of moving objects behavior as applied to the analysis of images from
surveillance cameras. Analyzed possibility of solving the problems of mathematical modeling in the
field of security with using of scientific data and research from the field of psychology, neuroscience
and cognitive science. Used the theory of reflexive processes V. A. Lefebvre into account characteristics
of situational behavior of moving objects for account causes of the defects of the system. Proposed
to form a typical behavior scenario of the moving observed group objects. Selected defective behavior
scenario as probabilistic source security threats, based on the analysis of several subsystems specially.
The principle of structural classification of situational behavior in accordance with possible violations
of safety and classification systems of the type of interaction of the object — system. Defined 9 basic
types of dynamic systems, the objects of which have internal motives decision. The analysis of the
transitions from one state to another, from which you can select different transitions, some of which
are potentially dangerous.
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The article shows the feasibility of genetic and evolutionary algorithms, based on the technique of creating
iterative models tabular means Microsoft Excel on a «programming without programming,» without
the use of software code in VBA language. Genetic algorithms in conjunction with evolutionary strategies
are two main directions of evolutionary modeling. With their help can be found solving many complex
problems in various areas, such as software development, systems of artificial intelligence, optimization,
artificial neural networks, and other branches of knowledge. Presented in the article table model
genetic algorithm proves that the tabular method, you can create simulation models of algorithms that
were previously implemented only with the use of specialized simulation systems, or by programming.
It should be noted that the above table model can be easily modified and extended (the size of chromosomes
and the number of individuals in the population), and the proposed technique table simulation genetic
algorithms can be successfully used for other, more complex optimization problems. Developed
with the help of the proposed simulation models allow technology to virtualize laboratory training course
in many disciplines — scientific and economic profiles, increase the efficiency of educational process in
high schools, as characterized by exceptional clarity, ease of analysis, the implementation of experiments,
a visual representation of the results. The results are of interest to specialists in the optimization of systems
and processes, as well as for teachers, advanced students and students of higher educational institutions.
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