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DECISION-MAKING IN GROUPS OF INTERVAL ALTERNATIVES
By: Gennady Shepelev
(5444 reads)
Rating:
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Abstract: Problem of comparing alternatives with numerical quality indicators, which due to uncertainty
have interval representations, is considered. It is demonstrated inevitability of presence in similar tasks
of irremovable risk of making a wrong decision on preference of alternatives. It is emphasized necessity
of the account in dealing with such problems both indicators of preference for analyzed alternative in
comparison with other objects in their group and risk indicators of making wrong decision. Advantages
and disadvantages of available methods of interval alternatives comparing are analyzed. Namely,
methods of comparison are considered based on principles of dominance by probability, evaluation
methods based on average indicators, new method of collective risk estimating, and methods of “mean
– risk” approach. The arguments are given that methods of dominance by probability and methods
based on average indicators as tools, which do not allow estimate risk of making a wrong decision
explicitly, can play only an auxiliary role in decision-making. Advantages of the method of collective risk
estimating consist in account of integral risk in concrete group of compared interval alternatives.
Disadvantages are consequence of the fact that the method compares only relative preferences of
alternative and permits take into account acceptability of separate alternative only after additional
constructions. In the framework of “mean – risk” approach properties of such convenient for practice risk
indicator as average semideviation were studied for some simple but important for applications
distribution functions of preference chances. It is shown that in some cases instead of average
semideviation indicator using of indicators of risk based on results of methods evaluating of deviation
from target marks is more expedient. An advantage of methods of “mean – risk” approach is the
possibility of calculating for each alternative pair of basic indicators needed for the evaluation interval
alternatives, indicator of acceptability of alternatives and indicator of associated risk. The disadvantages
include the fact that both of these indicators are calculated for an alternative as an independent object,
which is not associated with others in compared group. Comparison of the alternatives on preference is
based on values of these indicators but dependence of the risk on the context is not taken into account.
Due to presence of both advantages and disadvantages of the methods is proposed to use a three-step
approach to decision-making on the selection of interval alternatives, which is based on consistent using
of different methods: A stage of the preliminary analysis of alternatives for the purpose of culling some
of their number and reducing the dimension of the problem and size of collective risk by this is
suggested to include in the procedure of decision making on the choice of the preferred objects. Method
304 International Journal “Information Theories and Applications”, Vol. 23, Number 4, © 2016
of average estimates is suggested to use at this stage. Using of the collective risk estimating techniques
with isolating of a small number of alternatives as acceptable by the indicator of preference, as well as
having the lowest risk of wrong estimates, is recommended at the following stage and methods of
“mean – risk " approach at the final stage.
Keywords: comparing interval alternatives, methods of probabilistic dominance, collective risk
estimating, “mean-risk” methods, joint using of the methods.
ACM Classification Keywords: H.1.2 Human information processing. G3 Distribution functions. I.2.3
Uncertainty, “fuzzy”, and probabilistic reasoning.
Link:
DECISION-MAKING IN GROUPS OF INTERVAL ALTERNATIVES
Gennady Shepelev
http://www.foibg.com/ijita/vol23/ijita23-04-p01.pdf
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CREATING A TRAINING SIMULATOR FOR THE ECONOMIC DISCIPLINES AND ITS FUNCTIONALITY
By: Tea Munjishvili; Zurab Munjishvili
(7610 reads)
Rating:
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Abstract: One way to improve the quality of distance learning subjects in economics is the development
and application in the process of training of trainers and simulators. The article defines the necessary
requirements to simulators for the subjects of economic profile. The technology training and learning
using the software package developed by the author - trainer "Cyber2T". Attention is concentrated on
the stage of the debriefing. A method of analyzing and summarizing the results of the training is done
using logical probabilistic model to predict the possible errors and assumptions form the
recommendations to correct them."Cyber2T" designed to "Cyber2" basis -. The system of identifying
and evaluating the development of knowledge "Cyber2T" written in VB.NET 2010, the database is
organized to SQL Server 2008.
Keywords: "Cyber2T"; Simulators-trainer; knowledge systems; Simulator of economic subject.
Link:
CREATING A TRAINING SIMULATOR FOR THE ECONOMIC DISCIPLINES AND ITS
FUNCTIONALITY
Tea Munjishvili; Zurab Munjishvili
http://www.foibg.com/ijita/vol23/ijita23-03-p07.pdf
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STORING INFORMATION VIA NATURAL LANGUAGE ADDRESSING – A STEP TOWARD MODELING ...
By: Krassimira Ivanova, Stefan Karastanev
(3720 reads)
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Abstract. Our main goal in this paper is to propose a new approach for modeling human brain memory
by storing information using only the names but not pointers. This approach gives us new point of view
to the human brain processes. In other hand, it simplifies and speeds up the corresponded computer
programs. It is called “Natural Language Addressing” (NLA). This approach is a possibility to access
information using natural language words or phrases as direct addresses of the information in the
computer memory. For this purpose the internal encoding of the letters is used to generate
corresponded address co-ordinates.
Keywords: modeling human brain memory, ontologies, addressing, natural language addressing
ACM Classification Keywords: H.2 Database Management; H.2.8 Database Applications
Link:
STORING INFORMATION VIA NATURAL LANGUAGE ADDRESSING –
A STEP TOWARD MODELING HUMAN BRAIN MEMORY
Krassimira Ivanova, Stefan Karastanev
http://www.foibg.com/ijita/vol23/ijita23-03-p06.pdf
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EXEMPLAR BASED INPAINTING USING DEPTH MAP INFORMATION
By: Vahan Gevorgyan Vladimir, Aram Gevorgyan Vladimir, Gevorg Ka
(3806 reads)
Rating:
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Abstract: Image inpainting is the process of filling in missing or damaged parts. Exemplar based image
inpainting algorithm fills in the missing parts using information from the known part of the image.
Scanning the whole image for finding the most similar patch is a very time consuming task. Also the
algorithm doesn’t consider the depth information which harms the quality of the result. In this paper, we
use depth information from the image depth map and this approach improves efficiency and quality of
inpainted image. The paper includes experiment results and comparison with exemplar based inpainting
algorithm.
Keywords: stereo image, inpainting, exemplar based, depth map, image completion
ACM Classification Keywords: I.4.4 Image Processing and Computer Vision - Restoration
Link:
EXEMPLAR BASED INPAINTING USING DEPTH MAP INFORMATION
Vahan Gevorgyan Vladimir, Aram Gevorgyan Vladimir, Gevorg Karapetyan Arakel
http://www.foibg.com/ijita/vol23/ijita23-03-p05.pdf
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ASSEMBLING DECISION RULE ON THE BASE OF GENERALIZED PRECEDENTS
By: Vladimir Ryazanov, Alexander Vinogradov, Yuryi Laptin
(3559 reads)
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Abstract: A new approach to analysis of structure of the training sample based on identification and
parameterization clusters of local regularities that are considered as generalized precedents of
manifestation of partial interrelations in data is investigated. Substantive treatment of non-uniformity in
images of empirical distributions in parametric spaces is proposed, and possibilities of use of secondary
cluster structure for reduction of complexity of decisions and increase of processing speed, identification
and verification of regularities, are studied.
Keywords: local dependency, generalized precedent, parametric space, cluster, hyper-parallelepiped,
logical regularity, hypercube bitmap, derivative distribution, decision rule
Link:
ASSEMBLING DECISION RULE ON THE BASE OF GENERALIZED PRECEDENTS
Vladimir Ryazanov, Alexander Vinogradov, Yuryi Laptin
http://www.foibg.com/ijita/vol23/ijita23-03-p04.pdf
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SOME ASPECTS OF TEMPORAL REASONING INTEGRATION WITH SIMULATION MODELING ...
By: Galina Rybina, Victor Rybin
(3673 reads)
Rating:
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Abstract: The scientific and technological problems of constructing dynamic integrated expert systems
and the approaches to their solution are discussed. The new stages of the development of a problemoriented
methodology and AT-TECHNOLOGY workbench for constructing integrated expert systems in
the context of solving dynamic integrated expert systems are considered. The theoretical and technical
issues concerned with the representation and processing of temporal knowledge and simulation
modeling are of special interest. The features of the implementation of temporal reasoning software and
simulation modeling software for the dynamic version of the AT-TECHNOLOGY workbench are
described.
Keywords: dynamic integrated expert systems, problem-oriented methodology, AT-TECHNOLOGY
workbench, time representation, interval Allen logic, temporal solver, integration, simulation modeling
ACM Classification Keywords: software and its engineering, real-time systems software, software
notations and tools, context specific languages, development frameworks and environments, software
development techniques
Link:
SOME ASPECTS OF TEMPORAL REASONING INTEGRATION WITH SIMULATION
MODELING FOR DYNAMIC INTEGRATED EXPERT SYSTEMS CONSTRUCTION
USING AT-TECHNOLOGY WORKBENCH
Galina Rybina, Victor Rybin
http://www.foibg.com/ijita/vol23/ijita23-03-p03.pdf
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SENSITIVITY ANALYSIS OF A DECISION-MAKING PROBLEM USING THE ANALYTIC ...
By: Nataliya D. Pankratova, Nadezhda I. Nedashkovskaya
(3946 reads)
Rating:
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Abstract: The paper deals with the methodology of complex sensitivity analysis of solution given by one
of the popular multiple-criteria decision-making methods, namely the Analytic Hierarchy Process. This
methodology includes evaluation of sensitivity of hierarchy elements local ranking to changes in an
expert pairwise comparison judgments and evaluation of sensitivity of global ranking of decision
alternatives to changes in weights of hierarchy elements. The sensitivity analysis is illustrated on a
problem of evaluation of renewable energy technologies for an eco-house in Ukraine.
Keywords: the analytic hierarchy process, uncertainty of expert pairwise comparison judgments,
sensitivity analysis, stability intervals, critical expert pairwise comparison judgments, critical elements of
a hierarchy.
ACM Classification Keywords: H.4.2. INFORMATION SYSTEM APPLICATION: type of system
strategy
Link:
SENSITIVITY ANALYSIS OF A DECISION-MAKING PROBLEM USING THE
ANALYTIC HIERARCHY PROCESS
Nataliya D. Pankratova, Nadezhda I. Nedashkovskaya
http://www.foibg.com/ijita/vol23/ijita23-03-p02.pdf
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RANDOMIZED SET SYSTEMS CONSTRAINED BY THE DISCRETE TOMOGRAPHY
By: Irina Arsenyan, Levon Aslanyan and Hasmik Sahakyan
(4496 reads)
Rating:
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Abstract: This article, in general, is devoted to a set of discrete optimization issues derived from the
domain of pattern recognition, machine learning and data mining - specifically. The global objectives are
the compactness hypotheses of pattern recognition, and the structural reconstruction of the discrete
tomography.
The driving force of the current research was the proof technic of the discrete isoperimetry problem. In
proofs by induction the split technique was applied and then it is important to have some information
about the sizes of the split compounds. Isoperimetry itself is a formalism of the compactness
hypotheses. From one side knowledge on split sizes helps to find the compact structures and learning
sets based on this, from the other side – split sizes help to prove the necessary relations. The pure
combinatorial approaches 22-77 are not able at the moment to give an efficient description of the split
sizes and – the weighted row-different matrices. The probabilistic method, as it is well-known, gives
additional knowledge about the random subsets, and this may be useful as a complementary knowledge
about a different objects or a situations concerned the properties of discrete structures – isoperimetry
and tomography.
The discrete mathematical science deals with different types of discrete structures, studying their
transformations and properties. In some problems we face the issues about the existence of structures
under some special constraints, about the enumeration of structures under these constraints, and – on
algorithmic optimization. Given a simple structure – in some cases, it can be even hard to compute
some basic properties of it. Such are for example the graph chromatic number, the minimal set cover,
the solution of the well-known SAT and plenty of other NP-complete problems. When structures are
given, the mentioned parameters may be easily computable. To find a structure by the given parameters
often becomes hard. We call such problems – inverse problems. Our special interest is in considering of
simple (0,1) matrices and their row and column weights. Given a matrix we can compute the mentioned
weights (direct problem). The inverse problem, — when it is to find the construction with the given
weights is not simple. At least there is not known polynomial algorithms for this problem. Moreover, the
problem is known as the hypotheses posted by famous graph theorist C. Berge so that the problem is
well known and unsolved.
204 International Journal “Information Theories and Applications”, Vol. 23, Number 3, © 2016
Besides the logical and combinatorial analysis of the inverse type problems of discrete optimization, in
several cases the probabilistic models were applied successfully. The idea of this paper is to use the
probabilistic theory of combinatorial analysis to the discrete tomography problem given in terms of the
(0,1) matrices. The paper tries to outline the models, relations and the methodology. Our research
priority interest is to understand the opportunities, similarities and perspectives in this broad research
area. The study is ongoing and the follow up publication will come soon.
Keywords: discrete tomography, discrete isoperimetry, probabilistic theory of combinatorial analysis,
(0,1) matrices, discrete optimization.
ACM Classification Keywords: G.2.1 Combinatorics
Link:
RANDOMIZED SET SYSTEMS CONSTRAINED BY THE DISCRETE TOMOGRAPHY
Irina Arsenyan, Levon Aslanyan and Hasmik Sahakyan
http://www.foibg.com/ijita/vol23/ijita23-03-p01.pdf
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Линейные ограничения и методы их решения
By: Сергей Л. Крывый
(4044 reads)
Rating:
(1.00/10)
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Abstract: The algorithms for computation of basis of solutions systems of linear constraints over set of real numbers,
minimal supported set of solutions for systems of linear Diophantine homogeneous equations over set of natural numbers
and basis of systems of linear Diophantine homogeneous and inhomogeneous equations over ring of integer numbers, over
ring and eld of residues on modulo are described. Thies algorithms consider in context of solving of general constraint
satisfaction problem
ACM Classication Keywords: Systems of linear Diophantine constraints, minimal supported set of solutions,
basis of solutions, constraint satisfaction problem
Link:
Линейные ограничения и методы их решения
Сергей Л. Крывый
http://www.foibg.com/ijita/vol23/ijita23-02-p01.pdf
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INFORMATION FLOWS ENHANCEMENT FOR AIS TOURISM AUTOMATED INFORMATION SYSTEM
By: Irina Titova, Natalia Frolova
(4467 reads)
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Abstract: This article put emphasis on the issue of information system efficiency in tourism, as a tool of
defining the level of domestic and inbound tourism growth. The necessity of information system
development is determined to solve the problem of current tourism functionality; however, the
implementation of some automated information system (AIS) cannot be a solution to the obstacle. AIS
need to be efficient. Thus, the article provides the way of estimation and enhancement of information
flows as an approach to improve information system efficiency.
Keywords: automated information systems (AIS), efficiency, information flow, graph modeling, AIS
enhancement, information systems in tourism.
ACM Classification Keywords: G.2.2 Graph Theory, H.1 Models and Principles, K.4.3 Organizational
Impacts
Link:
INFORMATION FLOWS ENHANCEMENT FOR
AIS TOURISM AUTOMATED INFORMATION SYSTEM
Irina Titova, Natalia Frolova
http://www.foibg.com/ijita/vol23/ijita23-01-p08.pdf
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METHODS AND ALGORITHMS OF TIME SERIES PROCESSING IN INTELLIGENT SYSTEMS
By: Sergey G. Antipov , Marina V. Fomina, Vadim V.Vagin, Alexand
(3387 reads)
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Abstract: Time series processing in intelligent is a complex cross–disciplinary problem that is posed in
many research areas. In this paper two subproblems are considered: anomaly detection in time series
and time series clustering on an example of speaker clustering.
Keywords: Time Series Processing, Anomaly Detection, Speaker Clustering, Neural Networks.
Link:
METHODS AND ALGORITHMS OF TIME SERIES PROCESSING IN INTELLIGENT
SYSTEMS
Sergey G. Antipov , Marina V. Fomina, Vadim V.Vagin,
Alexandr P. Eremeev, Vasilii A. Ganishev
http://www.foibg.com/ijita/vol23/ijita23-01-p07.pdf
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REPRESENTING STRATEGIC ORGANIZATIONAL KNOWLEDGE ...
By: Dmitry Kudryavtsev, Anna Menshikova, Tatiana Gavrilova
(14931 reads)
Rating:
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Abstract: The paper describes methods and tools for organizational knowledge representation in the
field of strategic management. Visual and matrix/table-based methods are actively used for knowledge
representation in this domain. Diagrams solve problems associated with the managerial thinking
(cognitive challenges), managerial communications and coordination (social problems), and the ability of
managers to motivate and involve their employees (emotional problems). On the other hand, there are
types of information and tasks that are better supported by matrices. In order to effectively combine
diagrams with matrices the paper suggests multi-representation of organizational knowledge using
ontologies. Such multi-representation capabilities for organizational knowledge are already supported by
some enterprise architecture management software tools. Two of these tools are described in the paper.
Keywords: organizational knowledge, knowledge management methods, knowledge representation,
knowledge structuring, ontologies, strategic management.
ACM Classification Keywords: A.0 General Literature - Conference proceedings
Link:
REPRESENTING STRATEGIC ORGANIZATIONAL KNOWLEDGE
VIA DIAGRAMS, MATRICES AND ONTOLOGIES
Dmitry Kudryavtsev, Anna Menshikova, Tatiana Gavrilova
http://www.foibg.com/ijita/vol23/ijita23-01-p06.pdf
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CONVEXITY RELATED ISSUES FOR THE SET OF HYPERGRAPHIC SEQUENCES
By: Hasmik Sahakyan, Levon Aslanyan
(3867 reads)
Rating:
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Abstract: We consider ܦ ,(݊)the set of all degree sequences of simple hypergraphs with ݊ vertices
and ݉ hyperedges. We show that ܦ ,(݊)which is a subset of the ݊-dimensional ݉+1-valued grid
ାଵߌ
, is not a convex subset of ߌାଵ
; and give a characterization of the convex hull of ܦ .(݊)
Keywords: hypergraph, degree sequence, convexity.
ACM Classification Keywords: F.2.2: Nonnumerical Algorithms and Problems; G.2.2 Graph Theory
Link:
CONVEXITY RELATED ISSUES FOR THE SET OF HYPERGRAPHIC SEQUENCES
Hasmik Sahakyan, Levon Aslanyan
http://www.foibg.com/ijita/vol23/ijita23-01-p05.pdf
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On a public key encryption algorithm based on Permutation Polynomials and ...
By: Gurgen Khachatrian Martun Karapetyan
(5110 reads)
Rating:
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Abstract: In this paper a modification of public key encryption system presented in Khachatryan, Kyureghyan, 2015
and performance analysis are presented. As described in Khachatryan, Kyureghyan, 2015, the permutation polynomial
P(x) is declared to be a public polynomial for encryption. A public key encryption of given m(x) is the evaluation
of polynomial P(x) at point m(x) where the result of evaluation is calculated via so called White box reduction,
which does not reveal the underlying secret polynomial g(x). Our analysis have shown that an attacker may acquire
some information about the message, having its cipher-text, in case of using certain values of P(x). So either those
values of P(x) must be avoided, or the modification presented in this paper must be used. Our implementation’s
performance was compared to RSA-2048 implementation of CryptoPP library and it was 3.75x and 133x faster on
encryption and decryption operations respectively.
Keywords: Permutation polynomials, Public-key encryption, White box reduction..
ACM Classification Keywords: E.3 DATA ENCRYPTION - Public key cryptosystems
Link:
On a public key encryption algorithm based on Permutation Polynomials and
performance analyses
Gurgen Khachatrian Martun Karapetyan
http://www.foibg.com/ijita/vol23/ijita23-01-p04.pdf
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Clustering using Particle Swarm Optimization
By: Nuria Gómez Blas, Octavio López Tolic
(3632 reads)
Rating:
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Abstract: Data clustering has been a well-studied research field for a long time. One of the latest trends in this area
is the application of Particle Swarm Optimization (PSO) in clustering which has good potential for improvements.
This paper presents an approach to using Particle Swarm Optimization to cluster data. It is shown how PSO can be
used to find the centroids of a user specified number of clusters. Results show that PSO clustering techniques have
much potential.
Keywords: Social intelligence, Particle swarm optimization, Swarm computing, Clustering algorithms.
ACM Classification Keywords: 10010147.10010178 Computing methodologies Artificial intelligence,
10010147.10010257 Computing methodologies Machine learning,
10010147.10010257.10010293.10010294 Computing methodologies Neural networks.
Link:
Clustering using Particle Swarm Optimization
Nuria Gómez Blas, Octavio López Tolic
http://www.foibg.com/ijita/vol23/ijita23-01-p03.pdf
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COLLECTIVE COMPUTATION: TURNING THE UNDERGROUND INTO AN ANT NEST
By: Clemencio Morales, Luis Fernando de Mingo
(3882 reads)
Rating:
(1.00/10)
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Abstract: The management and proper use of the Urban Public Transport Systems (UPTS) constitute a
field as critical as little investigated according to its relevance and urgent idiosyncrasy within smart cities
realm. In this paper, a newfangled approach by using the Natural Computing paradigm and Collective
Computation is shown, more concretely taking advantage of an Ant Colony Optimization algorithm
variation in order to build a system that makes the complete control of the UPTS a tangible reality.
Keywords: Smart City, Natural Computing, Collective Computation, Urban Public Transport System,
Wireless Sensor Networks
ACM Classification Keywords: 10003120.10003138: Human-centered computing - Ubiquitous and
mobile computting, 10010147.10010178: Computing methodologies - Artificial intelligence,
10010147.10010257.10010293.10011809: Computing methodologies - Bio-inspired approaches,
10010405.10010481.10010485: Applied computing - Transportation
Link:
COLLECTIVE COMPUTATION: TURNING THE UNDERGROUND INTO AN ANT NEST
Clemencio Morales, Luis Fernando de Mingo
http://www.foibg.com/ijita/vol23/ijita23-01-p02.pdf
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IMPLEMENTING A LINEAR FUNCTION TO MEASURE THE QUALITY IN GOVERNMENTS
By: Alberto Arteta, Juan Castellanos, Yanjun Zhao, Danush K. Wij
(120057 reads)
Rating:
(1.00/10)
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Abstract: Once the biggest issue with the current democracy system is identified, the research focuses
on finding the root of the problem. This is a key step and requires further analysis as we are constantly
deviating from the true origin. Unless we tackle the root of the problem any attempt we make to improve
the system will be in vain. The current democratic system is severely flawed and therefore requires
improvement that can only be detected by society. The works highlighted here report numerous
problems of corruption, lack of transparency, information monopoly, and bipartisanship in virtually all
current governments. These days, citizen demonstrations against political abuse are a social reality,
which proves the large gap that exists between the government and the middle class.
This work defines several parameters to measure the quality of governments and propose to use a
linear function to check on them.
Once the root of the problem comes to the surface, the way to move forward becomes clear.
Keywords: Linear function, quality measurement, Democratic system
Link:
IMPLEMENTING A LINEAR FUNCTION TO MEASURE THE QUALITY IN
GOVERNMENTS
Alberto Arteta, Juan Castellanos, Yanjun Zhao, Danush K. Wijekularathna
http://www.foibg.com/ijita/vol23/ijita23-01-p01.pdf
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FORMAL THEORY OF SEMANTIC AND PRAGMATIC INFORMATION - A TECHNOCRATIC APPROACH
By: Venco Bojilov
(5541 reads)
Rating:
(1.00/10)
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Abstract: The actual development of our civilization on Earth in the last century has seen an explosive
growth of meaningful production, manipulation and use of information. Unfortunately, we still rely on an
intuitive notion of this phenomenon, and even some of the leading experts avoid giving a precise
definition of this development. What is more important - the explosive increase of the capacity to
exchange signals over the past two decades has brought an overall reduction of the information in the
communication flow, rather than its integral growth, and its allegorical approximation is closer to the
level of relict infrared radiation of the Universe, rather than a typical star’s optic or UHF emission. The
other side of the coin is the exponentially growing complexity and linked with it impracticability of
relevant functions which make use of such information.
The paper describes an approach for effective framing of the so called semantic-pragmatic information
and a relatively simple formal structural model of a subject which uses such information, as a set of
properties of this paradigm, concerning the boundaries of possible information consumption in real
natural or artificial systems in the Universe. As formulated, these properties govern:
- The limitations on the amount of information and information exchange in real subjects / systems;
- The conditions for converting Information into Noise and vice versa;
- The principles of growth of proper pragmatic information in a natural subject /system during its physical
existence/”life”;
- Asymptotical reduction of communicated information among so called "Teleological" or "Autopoietic"
(i.e. self-expandable, self-steering and self-developing) systems during their post-mature evolution.
Some interesting consequences of the identified properties are outlined, that can have a great social
relevance both now and in the near future.
Keywords: Semantic Information Theory, Framework, General System Theory Class, Instance
Definition.
ACM Classification Keywords: H.1.1 Systems and Information Theory, Value of information
Link:
FORMAL THEORY OF SEMANTIC AND PRAGMATIC INFORMATION -
A TECHNOCRATIC APPROACH
Venco Bojilov
http://www.foibg.com/ijita/vol22/ijita22-04-p05.pdf
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SOFTWARE MODEL COGNITIVE VALUE
By: Elena Chebanyuk, Krassimir Markov
(4784 reads)
Rating:
(1.00/10)
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Abstract: An approach for estimation of Software Models (SMs) from Cognitive Science point of view is
outlined in the paper. The basic notion of this approach is the new term “Software Model Cognitive
Value” (SMCV). Software models are represented as Unified Modeling Language (UML) UML 2.5,
2012 diagrams that are used in Agile approach Beck et al, 2001; Allen, 2015.
In order to define peculiarities of SM human perception, cognitive principles of comprehension are
considered in this paper. According to these principles, the peculiarities of SM comprehension in
different situations when software is developed following Agile approach, are formulated.
The proposed approach offers an estimation of SM from the points of view both Software Engineering
and Cognitive Science. From the Software Engineering view, characteristics of SM designing are
considered. The cognitive features of SM such as its comprehension and understanding are taken into
account.
The process of applying the proposed approach to choose the best type of SM for requirement analysis
for project of designing 3D-graph is also outlined in this paper.
Applications of this approach and advantages of its applying for solving typical Software Engineering
tasks are formulated.
Keywords: Software Model Cognitive Value; UML Diagram; Agile Development; Model-Driven?
Development; Software Lifecycle Process; Software Designing, Software Requirement Analysis; 3Dgrpah.
ACM Classification Keywords: D.2 Software Engineering; D.2.1 Requirements/Specifications; D.2.9
Management - Life cycle; Software process models; I.2.0 General: Cognitive science.
Link:
SOFTWARE MODEL COGNITIVE VALUE
Elena Chebanyuk, Krassimir Markov
http://www.foibg.com/ijita/vol22/ijita22-04-p04.pdf
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SYNTACTIC OPERATIONS – MODELING LANGUAGE FACULTY
By: Velina Slavova, Alona Soschen
(3910 reads)
Rating:
(1.00/10)
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Abstract: We further develop the self-centered model of mental representations for language with the
focus on the mechanisms underlying syntactic calculus and the construction of larger meaningful
constructs out of the basic syntactic units. We consider the inborn multimodal perception and the selfconcept
as an actor in an environment as the basis for concept formation and syntactic construction.
Based on relevant findings in language acquisition, we investigate the perceptual, semantic, and
syntactic aspects of mental apparatus. We see this apparatus as an overall system that can handle the
task of conceptualization and the task of syntactic construction using the same mechanisms. Based on
the argument-centered model of mental representations which involves such processing homogeneity,
we show the gradual development of the complexity of syntactic formants during language acquisition.
Keywords: language acquisition, syntax complexity, mental operations
ACM classification keywords: I.2.0: Artificial Intelligence, I.2.7: Natural Language Processing
Link:
SYNTACTIC OPERATIONS – MODELING LANGUAGE FACULTY
Velina Slavova, Alona Soschen
http://www.foibg.com/ijita/vol22/ijita22-04-p03.pdf
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ON MENTAL REPRESENTATIONS: LANGUAGE STRUCTURE AND MEANING REVISED
By: Velina Slavova, Alona Soschen
(4459 reads)
Rating:
(1.00/10)
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Abstract: Based on results from recent studies in neuroscience, cognitive science, brain imaging and
psychology, we develop a model of language faculty. We suggest that the entire brain, all its subnets
and processes are responsible for the formation of mental representations of the world, obtained
gradually by the subject as an actor in the environment. We assume that mental representations are
developed using inborn cognitive mechanisms for creating internal information units operated on a
continuous bases for the internal ‘language of thought’ and the external ‘language of communication’.
We consider that the underlying mental processing is self-centered and uses inborn operations such as
‘projection of the actor’ and ‘mirroring’. We discuss the four levels of cognitive apparatus related to the
language faculty (perceptual, syntactic, semantic, and communicative). Language development relies
on species-specific mental operations that comply with the general laws of efficient growth in biological
systems, the laws that account for both the effective reiteration of the minimal meaningful unit in syntax
and the semantics of concept formation.
Keywords: brain activity, fMRI, language, semantic space, concept, syntax, semantics
ACM classification keywords I.2.0: AI General I.2.7: Natural Language Processing
Link:
ON MENTAL REPRESENTATIONS: LANGUAGE STRUCTURE AND MEANING
REVISED
Velina Slavova, Alona Soschen
http://www.foibg.com/ijita/vol22/ijita22-04-p02.pdf
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ALGORITHM FOR QUICK NUMBERING OF LARGE VOLUMES OF DATA
By: Krassimira Ivanova
(4153 reads)
Rating:
(1.00/10)
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Abstract: An original algorithm for numbering large datasets by means of Natural Language Addressing
(NLA) is presented in the paper. We use a counter to number different instances and store its current
value in the container NL-addressed by the instance. If the instance is repeated, from this NL-address
we receive its already assigned number. The algorithm is implemented in an experimental program
RDFArM for storing large RDF-datasets. The provided experiments have shown that NL-access time for
one instance (triple or quadruple) does not depend on the number of already stored instances from the
dataset. This is very important for storing Big Data.
Keywords: Natural Language Addressing, Big Data, Numbering Large Datasets
ACM Classification Keywords: H.2 Database Management; H.2.8 Database Applications
Link:
ALGORITHM FOR QUICK NUMBERING OF LARGE VOLUMES OF DATA
Krassimira Ivanova
http://www.foibg.com/ijita/vol22/ijita22-04-p01.pdf
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INTEGRATION OF ONTOLOGY RESOURCES INTO OPEN FORMAT DOCUMENTS FOR ...
By: Viacheslav Lanin
(3938 reads)
Rating:
(1.00/10)
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Abstract: The article describes the development of a software library for ontological metadata inclusion
into modern office documents formats. The model of the document used for indexing its content by
ontology concepts is given. Existing projects addressed for similar problems are overviewed.
Keywords: ontology; semantic indexing, document formats.
ACM Classification Keywords: I.2 Artificial Intelligence: I.2.11 Distributed Artificial Intelligence; I.7
Document and Text Processing: I.7.2 Document Preparation; I.7.3 Index Generation.
Link:
INTEGRATION OF ONTOLOGY RESOURCES INTO OPEN FORMAT DOCUMENTS
FOR SEMANTIC INDEXING
Viacheslav Lanin
http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-04-p06.pdf
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TECHNIQUE FOR ROAD AUTOMATED TRACKING WITH UNMANNED AERIAL VEHICLES
By: Samvel Hovsepyan
(3469 reads)
Rating:
(1.00/10)
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Abstract: One of the most popular areas of unmanned aerial vehicles (UAV) use is the monitoring of
roads and highways. UAVs are considered to be a low-cost and rapidly growing platform that can
provide effective mechanisms for data collection and processing, especially in case of long distances.
In this paper a new method for automated road monitoring with the help of UAV is offered. The method
is suitable for determining image areas, where the heterogeneity compared with the general road
structure is spotted. Also, algorithms for finding road cover from video shots and for determining the
direction of the road are offered. The method is applicable for automated control of UAVs in order to
find and track roads, as well as registration of various types of objects on the road. All the methods and
algorithms were tested on a model and the results are shown.
Keywords: image processing, road tracking, road monitoring, similarity measure, UAV
ACM Classification Keywords: Image Processing and Computer Vision
Link:
TECHNIQUE FOR ROAD AUTOMATED TRACKING WITH UNMANNED AERIAL
VEHICLES
Samvel Hovsepyan
http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-04-p05.pdf
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METHODS AND ALGORITHMS OF LOAD BALANCING
By: Igor Ivanisenko
(3781 reads)
Rating:
(1.00/10)
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Abstract: In this paper the classification of the most used load balancing methods in distributed
systems (including cloud technology, cluster systems, grid systems) is described. Load balancing is
represented on four levels of network model OSI: channel, network, transport, application. Features,
advantages and shortcomings are presented for each level. Also strengths and weaknesses of network,
transport and application levels are described. Basics of hardware based load balancing in Network
Packet Broker and Application Delivery Controllers, that working on OSI layers 2-7, are described. In
this work strengths and weaknesses of hardware based load balancing are shown. Basics of software
based load balancing are carried out. Differences between software based load balancing and
hardware based one are described too. In the work characterizations of the most used dynamic load
balancing algorithms in distributed systems is described. Advantages and shortcomings of each
algorithm are carried out. Load balancing uses a variety of methods and algorithms for balancing. In the
work methods that are used on channel, network, transport, application levels of OSI model and
available in balancers and/or can be configured on the servers are presented and analyzed.
Employment, effectiveness, strengths and weaknesses of each type of the methods are described in
accordance with analysis. Following methods are carried out: direct Routing, Network Address
Translation, Source Network Address Translation, Transparent SNAT, SSL Termination or
Acceleration, TCP/IP server load balancing, Hashing, Caching, DNS load balancing, Network Load
Balancing, Proxy method, Load balancing by using redirection.
Keywords: Keywords— load balancing, distributed system, hardware and software load balancing
cloud, DNS, network level, Network Address Translation, proxy.
ACM Classification Keywords: C.2.0 General – Open Systems Interconnection reference model
(OSI), C.2.3 Network Operations - Network management, C.2.4 Distributed Systems - Client/server,
Distributed applications
Link:
METHODS AND ALGORITHMS OF LOAD BALANCING
Igor Ivanisenko
http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-04-p04.pdf
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