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COLLECTIVE COMPUTATION: TURNING THE UNDERGROUND INTO AN ANT NEST
By: Clemencio Morales, Luis Fernando de Mingo
(4452 reads)
Rating:

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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
(120841 reads)
Rating:

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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
(6218 reads)
Rating:

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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
(5404 reads)
Rating:

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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
(4561 reads)
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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
(5145 reads)
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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
(4784 reads)
Rating:

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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
(4599 reads)
Rating:

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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
(4006 reads)
Rating:

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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
(4407 reads)
Rating:

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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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AUTOMATIZATION OF COMPUTER BUSINESS GAME AUTOMATON MODEL CONSTRUCTION
By: Olga Vikentyeva, Alexander Deryabin, Dmitrij Kozhevnikov, Li
(4961 reads)
Rating:

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Abstract: This paper suggests an approach, which enables automatization of computer business game
automaton model construction. The processes of business game design and conduction occur within
the Competence-based Business Game Studio source environment. This fact provides the universality
of the domain. Separation of information system into operating and automaton models causes control
logic to be concentrated within the automaton model. Due to this fact the control object (operating
model) is to have unsophisticated behavior: accepting commands from the automaton and then
executing stated commands. This paper verifies the need for automaton model, provides analysis of
requirements and describes the design of corresponding program module (interactive visual model
editor) of the Competence-based Business Game Studio source environment. This module is used to
construct and edit business process models interactively during the stage of business game design.
Keywords: competencies, active learning methods, business-game, business-process, control
automat, operating automat, business process modeling.
ACM Classification Keywords: K.3 COMPUTERS AND EDUCATION: K.3.2 Computer and
Information Science Education – Information systems education. I.2 ARTIFICIAL INTELLIGENCE:
I.2.1 Applications and Expert Systems – Games.
Link:
AUTOMATIZATION OF COMPUTER BUSINESS GAME AUTOMATON MODEL
CONSTRUCTION
Olga Vikentyeva, Alexander Deryabin, Dmitrij Kozhevnikov, Lidiia Shestakova
http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-04-p03.pdf
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About estimate of fuzzy differential equations distribution
By: Alexei Bychkov, Eugene Ivanov, Olha Suprun
(3473 reads)
Rating:

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Abstract: In the article the methods of estimation of solution’s distribution for a new class of uncertain
differential equations which contain a possibilistic process in right part are developed. The example of
the use of developed methods is given.
Keywords: fuzzy logic, theory of possibility, fuzzy equation, estimate of distribution.
ACM Classification Keywords: G.1.7 – Ordinary Differential Equations. J.3 Life and Medical
Sciences.
Link:
Alexei Bychkov, Eugene Ivanov, Olha Suprun
http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-04-p02.pdf
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MAIN DIFFERENCES BETWEEN MAP/REDUCE AND COLLECT/REPORT PARADIGMS
By: Krassimira Ivanova
(3269 reads)
Rating:

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Abstract: This article presents main differences between Map/Reduce (MRP) and Collect/Report
(CRP) paradigms. The most important difference is that in MRP the calculations and data must be all
completely independent. In opposite, the CRP assumes that all data are interconnected and may be
processed in common, taking in account all interconnections.
Keywords: Map/Reduce Paradigm, Collect/Report Paradigm, Big Data, Cloud computing
ACM Keywords: E.1 Data Structures; Distributed data structures.
Link:
MAIN DIFFERENCES BETWEEN MAP/REDUCE AND COLLECT/REPORT
PARADIGMS
Krassimira Ivanova
http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-04-p01.pdf
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IMPROVING AUTOMATIC SPEECH RECOGNITION ACCURACY BY MEANS OF PRONUNCIATION VARIAT
By: Vladimir Chuchupal, Anton Korenchikov
(3819 reads)
Rating:

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Abstract: We explore the properties of the pronunciation variation (PV) models as an approach for an automatic
speech recognition accuracy improvement. The PV model is formulated as well as the methods to find out PV
parameters and include the model into the search procedures. We show that utilizing of the PV models could
substantionally increase the accuracy of automatic recognition of natural speech.
Keywords: automatic speech recognition, acoustic modeling, speech pronunciation variation modeling, explicit
models, hidden markov models.
ACM Classification Keywords: I.2.7 Natural Language Processing - Speech recognition and synthesis
Link:
IMPROVING AUTOMATIC SPEECH RECOGNITION ACCURACY BY MEANS OF
PRONUNCIATION VARIATION MODELING
Vladimir Chuchupal, Anton Korenchikov
http://www.foibg.com/ijicp/vol01/ijicp01-04-p08.pdf
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BUSINESS PROCESSES MODELLING WITH DSM PLATFORM AT INTEGRATED SYSTEMS DEVELOPMENT
By: Anna Lubyagina, Lyudmila Lyadova, Alexander Sukhov
(3397 reads)
Rating:

(1.00/10)
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Abstract: The first and most labor-consuming stage of information systems development is an analysis stage. At
this stage the set of different formal models describing systems domains, different aspects of the created system
functioning is created. The model-centric approach focuses attention on the models at the each stage of the
development process. Modelling tools are used by developers and experts in specific domains. These tools must
be affordable for different specialists. Created models must be clarity and understandable for all developers and
domain experts. This feature is supported with domain-specific modelling tools. Language workbenches include
means for domain-specific languages creation. Modelling with DSM platform is more suitable for the domain
experts, system and business analysts. Different tasks of the system design and development request specific
formalizing means needed for modeling. Different modelling languages and tools are used by analysts. They
need to support continuity of development stages, reusability of created models for the solution of different tasks.
DSM platforms provide model transformations, translation of models from one modelling language to another.
These tasks are important for large projects of complex information systems development. The basis of language
toolkits creation is metamodeling. The tools of MetaLanguage? DSM platform, allowing designing domain specific
languages and models for different domains, to transform models at systems integration, are described.
Examples of metamodels and models, transformation rules are presented.
Keywords: modeling, domain-specific languages, language workbench, metamodeling, model transformations.
ACM Classification Keywords: D.2 Software Engineering: D.2.2 Design Tools and Techniques – Computer–
aided software engineering (CASE); D.2.6 Programming Environments – Domain-specific architectures;
Languages (e.g., description, interconnection, definition); D.2.13 Reusable Software – Domain engineering;
Reuse models.
Link:
BUSINESS PROCESSES MODELLING WITH DSM PLATFORM AT INTEGRATED
SYSTEMS DEVELOPMENT
Anna Lubyagina, Lyudmila Lyadova, Alexander Sukhov
http://www.foibg.com/ijicp/vol01/ijicp01-04-p07.pdf
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AN AGENT-BASED CONCEPT FOR PROBLEM MANAGEMENT SYSTEMS TO ENHANCE RELIABILITY
By: Huiqiang Wang, Nasser Jazdi, Peter Goehner
(3227 reads)
Rating:

(1.00/10)
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Abstract: A defective component in an industrial automation system affects only a limited number of sub
functions. However, the affected sub functions often lead to break down of the whole system. The goal of this
paper is to propose an intelligent agents-based concept for a Problem Management System (IAPMS) to enhance
the reliability of industrial automation systems by resolving not only the known problems but also the unknown
problems. In this paper, six types of component agents represent all the necessary components of an industrial
automation system and a coordination agent type orchestrates the coordination between the component agents.
The component agents detect the defective component by using the existing diagnosis system. On one hand, the
component agents and the coordination agent could solve the known problems by using the pre-set measures.
On the other hand, since no measures for an unknown problem exist, the corresponding component agents
negotiate with the coordination agent to keep the unaffected sub functions alive; hence the system can be further
used.
Keywords: reliability, intelligent component agent, Problem Management System, unknown problems
ACM Classification Keywords: I.2 Artificial Intelligence – I.2.1 Applications and Expert Systems – Industrial
automation
Link:
AN AGENT-BASED CONCEPT FOR PROBLEM MANAGEMENT SYSTEMS TO
ENHANCE RELIABILITY
Huiqiang Wang, Nasser Jazdi, Peter Goehner
http://www.foibg.com/ijicp/vol01/ijicp01-04-p06.pdf
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KNOWLEDGE MANAGEMENT TOOLSET ANALYSIS FOR LEARNING ORGANIZATIONS
By: Kateryna Solovyova, Andrey Danilov, Panasovska Yuliia, Kobri
(2926 reads)
Rating:

(1.00/10)
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Abstract: The modern society’s existence is inseparably linked with the development of information technologies.
Today information plays a key role in the development of our society. As a result, science is beginning to move up
to a more advanced stage of development - the noospheric one. The noospheric stage of scientific development
involves the use of modern noospheric system approach and innovative methods and technologies based on
knowledge. This work is based upon a noospheric system methodology (systemology) which allows to consider
complex systems holistically, to take into account their essential (ontological) properties and relations, to solve
the complicated ill-structured problems relying on knowledge. The application of the systemological classification
analysis on the basis of the natural classification criteria allows to define and to simulate deep knowledge being
adequate for any subject domain including the ill-structured ones; to consider the objects’ essential properties.
Using of the knowledge-oriented system tools allows employees to build intellectual capital, will allow
organizations and states to develop in a more efficient, competitive way and to form knowledge economy.
Knowledge management tools are the most effective means of managing organizations to improve their
competitiveness.
Alongside the increasing number of Internet users, the enhancing of its availability, the effectiveness of social
networking on the Internet in organizations rises, it is especially vital for employees training. The improvement of
quality of social networks functioning on the Internet requires the adequacy of their domain, adaptability and useroriented
interface. The paper has presented some results of studies on knowledge systematization in the subject
domains "Social Networking on the Internet", "Competences" on the basis of systemological classification
analysis that is directly relevant for the education field, the learning organizations creation, functional platform for
further development of this direction.
Keywords: knowledge management, a learning organization, a social network on the Internet, a competence,
knowledge-oriented technology, the Internet, systemological classification analysis, classification, a systemology
model, education, noospheric stage of scientific development.
Link:
KNOWLEDGE MANAGEMENT TOOLSET ANALYSIS FOR LEARNING
ORGANIZATIONS
Kateryna Solovyova, Andrey Danilov, Panasovska Yuliia, Kobrin Maksim
http://www.foibg.com/ijicp/vol01/ijicp01-04-p05.pdf
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ONTOLOGY OF EDUCATIONAL STANDARDS
By: Oleksandr Stryzhak
(3426 reads)
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Abstract: This article discusses the formation of educational standards. The method of forming the content of the
educational process describes. The method is based on the ontological knowledge representation and ontological
models describing different categories of educational process. Is an example of the formation of educational and
vocational programs educational qualification level, the allocation of appropriate skills competencies, creating
curricula based on application of an ontological description of subject knowledge.
Keywords: ontology, knowledge systems, educational programs, ontograph.
ACM Classification Keywords: G.2 Discrete Mathematics – G.2.2 Graph Theory – Trees; I.2 Artificial
Intelligence - I.2.4 Knowledge Representation Formalisms and Methods; K.3 Computers And Education – K.3.2
Computer and Information Science Education
Link:
ONTOLOGY OF EDUCATIONAL STANDARDS
Oleksandr Stryzhak
http://www.foibg.com/ijicp/vol01/ijicp01-04-p04.pdf
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FACIAL EXPRESSIONS ANALYSIS BASED ON A COMPUTER VISION ALGORITHMS
By: Iurii Krak, Anton Ternov, Vladislav Kuznetsov
(3201 reads)
Rating:

(1.00/10)
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Abstract: In this paper a variety of computer vision algorithms in a context of their application to the problem of
study of facial expressions were analyzed. Performance characteristics of computer vision algorithms for tracking
markers which were attached to the face in ideal and real conditions were obtained. A list of algorithms’ faults that
occurred during experiments was given, and ways to reduce an impact of various factors that influenced the
experiments were suggested. The results of experiments were used to model facial expressions on a face of a
virtual model of a human head.
Keywords: facial expression, computer vision, reference points.
Link:
FACIAL EXPRESSIONS ANALYSIS BASED ON A COMPUTER VISION ALGORITHMS
Iurii Krak, Anton Ternov, Vladislav Kuznetsov
http://www.foibg.com/ijicp/vol01/ijicp01-04-p03.pdf
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LANGUAGE IDENTIFICATION AND DATING OF THE GREAT PRESLAV INSCRIPTION BASED ...
By: Jordan Tabov, Tzvetan Pavlov
(5904 reads)
Rating:

(1.00/10)
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Abstract: The Great inscription from Preslav has been cut into the granite column, which has been found during
excavations in the city of Preslav.
It is considered that it contains words of military nature, and numbers written with Greek letters, and is looked at
as a part of inscriptions from northeast Bulgaria, called military inventory inscriptions. In modern science
dominates the view that these inscriptions have been left from the 'early Bulgarians', settled in Dobrudzha that
went to the south cost of Danube with the ruling dynasty of Isperih.
Through comparison between the letter (sound) frequencies in the text in the Great inscription from Preslav with
the frequencies of the letters of the names (personal - of rulers, clans and calendar names) in the Nominalia of
the Bulgarian rulers, we can deduct, that it is very likely that the language of the Big inscription from Preslav is
different from the language of the people ruled by Isperih. This point is towards the unbiased search for
landmarks for attribution and dating of the Preslav inscription in broader chronological terms. Additional
considerations give us the basis for a hypothesis, that the Great Preslav Inscription is an artifact created during
the XV century.
Keywords: inscription from Preslav, frequencies of the letters, dating
ACM Classification Keywords: I.6 Simulation and Modeling, I.6.3 Applications
Link:
LANGUAGE IDENTIFICATION AND DATING OF THE GREAT PRESLAV
INSCRIPTION BASED ON LETTER FREQUENCY
Jordan Tabov, Tzvetan Pavlov
http://www.foibg.com/ijicp/vol01/ijicp01-04-p02.pdf
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MULTI-LAYER KNOWLEDGE REPRESENTATION
By: Krassimira Ivanova
(3805 reads)
Rating:

(1.00/10)
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Abstract: An approach for knowledge representation based on post-relation type of information bases is outlined
in the paper. Explanation starts with remembering the idea of Natural Language Addressing. After that, the idea
of Multi-layer Knowledge Representation by Means of Natural Language Addressing is presented.
Keywords: Multi-layer Knowledge Representation; Natural Language Addressing
ACM Keywords: I.2.4 Knowledge Representation Formalisms and Methods
Link:
MULTI-LAYER KNOWLEDGE REPRESENTATION
Krassimira Ivanova
http://www.foibg.com/ijicp/vol01/ijicp01-04-p01.pdf
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Taxonomyzation of Natural Language Texts
By: Vitaly Prihodnyuk
(4041 reads)
Rating:

(1.00/10)
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Abstract: An approach for forming taxonomies based on semantic analysis of text arrays is presented
in this paper. The algorithm and the main stages of its work are described. The specification of input and
output data is defined as lambda calculus terms without types. Auxiliary algorithms for detecting
different types (in particular, geographic) information are outlined. The evaluation of the effectiveness of
the proposed algorithm, obtained by computational experiments, is given.
Keywords: Taxonomy, Hyper-relation, Structuring, Knowledge Engineering
ACM Classification Keywords: I.2 ARTIFICIAL INTELLIGENCE - I.2.4 Knowledge Representation
Formalisms and Methods, H. Information Systems
Link:
Taxonomyzation of Natural Language Texts
Vitaly Prihodnyuk
http://www.foibg.com/ijima//vol05/ijima05-03-p07.pdf
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Review of some problems on the complexity of simultaneous divisibility of linear
By: Nikolay K. Kosovskii, Mikhail Starchak
(3201 reads)
Rating:

(1.00/10)
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Abstract: An introduction to the problems considering complexity of simultaneous divisibilities of values
of linear polynomials is presented. Some history facts, recent results and open questions that stimulate
further research are discussed.
Keywords: NP-completeness, existential Presburger arithmetic with divisibility, systems of divisibilities of
values of linear polynomials, quadratic diophantine equations
ACM Classification Keywords: F.1.3 Complexity Measures and Classes, Reducibility and completeness;
F.2.1 Analysis of Algorithms and Problem Complexity, Numerical Algorithms and Problems, Numbertheoretic
computations
Link:
Review of some problems on the complexity of simultaneous
divisibility of linear polynomials
Nikolay K. Kosovskii, Mikhail Starchak
http://www.foibg.com/ijima//vol05/ijima05-03-p06.pdf
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PARTIAL DEDUCTION IN PREDICATE CALCULUS AS A TOOL FOR ARTIFICIAL INTELLIGENCE...
By: Tatiana M. Kosovskaya
(2931 reads)
Rating:

(1.00/10)
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Abstract: Many artificial intelligence problems are NP-complete ones. To decrease the needed time of such
a problem solving a method of extraction of sub-formulas characterizing the common features of objects under
consideration is suggested. This method is based on the offered by the author notion of partial deduction. Repeated
application of this procedure allows to form a level description of an object and of classes of objects. A model
example of such a level description and the degree of steps number increasing is presented in the paper.
Keywords: Artificial Intelligence, pattern recognition, predicate calculus, level description of a class
Link:
PARTIAL DEDUCTION IN PREDICATE CALCULUS AS A TOOL FOR ARTIFICIAL
INTELLIGENCE PROBLEM COMPLEXITY DECREASING
Tatiana M. Kosovskaya
http://www.foibg.com/ijima//vol05/ijima05-03-p05.pdf
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PROTECTION OF COMPUTER INFORMATION SYSTEMS OF AGRICULTURAL ENTERPRISES
By: Valentyn Nekhai, Igor Skiter, Еlena Trunova
(3401 reads)
Rating:

(1.00/10)
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Abstract: The article deals with some modern methods and technologies used in solving problems of
information support of the effective management of the agricultural enterprise. It contains the principles
of construction systems of information protection in computer information systems of agricultural
enterprises.
Key words: information technology, information support, information systems, protection of information,
policy of information safety, information protection system.
ACM Classification Keywords: K.6.5 Management of computing and information systems - Security
and Protection.
Link:
PROTECTION OF COMPUTER INFORMATION SYSTEMS OF AGRICULTURAL
ENTERPRISES
Valentyn Nekhai, Igor Skiter, Еlena Trunova
http://www.foibg.com/ijima//vol05/ijima05-03-p04.pdf
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