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THE LOCALIZATION PROCEDURES OF THE VECTOR OF WEIGHTING COEFFICIENTS ...
By: Elena Drobot
(3607 reads)
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Abstract: In terms of binary relations the author analyses the task of an individual consumers’ choice on the
teaching excerpts set. It is suggested to analyse the function of consumer’s value as additive reduction.
For localization of the vector of weighting coefficients of additive reduction the procedures based on metrics of
object distance towards the ideal point are suggested.
Keywords: The theory of consuming, the function of value.
ACM Classification Keywords: I.2.1 Artificial Intelligence: Applications and Expert Systems
Link:
THE LOCALIZATION PROCEDURES OF THE VECTOR OF WEIGHTING COEFFICIENTS ON THE SET OF TEACHING EXPERTS IN THE TASKS OF CONSUMING
Elena Drobot
http://www.foibg.com/ijita/vol13/ijita13-4-p12.pdf
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APPLICATION OF ARTIFICIAL INTELLIGENCE METHODS TO COMPUTER DESIGN ...
By: Nadezhda Kiselyova
(3968 reads)
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Abstract: In this paper the main problems for computer design of materials, which would have predefined
properties, with the use of artificial intelligence methods are presented. The DB on inorganic compound
properties and the system of DBs on materials for electronics with completely assessed information: phase
diagram DB of material systems with semiconducting phases and DB on acousto-optical, electro-optical, and
nonlinear optical properties are considered. These DBs are a source of information for data analysis. Using the
DBs and artificial intelligence methods we have predicted thousands of new compounds in ternary, quaternary
and more complicated chemical systems and estimated some of their properties (crystal structure type, melting
point, homogeneity region etc.). The comparison of our predictions with experimental data, obtained later,
showed that the average reliability of predicted inorganic compounds exceeds 80%. The perspectives of
computational material design with the use of artificial intelligence methods are considered.
Keywords: artificial intelligence, computer design of materials, databases on properties of inorganic materials,
information-analytical system.
ACM Classification Keywords: I.2.1 Artificial Intelligence: Applications in Chemistry
Link:
APPLICATION OF ARTIFICIAL INTELLIGENCE METHODS TO COMPUTER DESIGN OF INORGANIC COMPOUNDS
Nadezhda Kiselyova
http://www.foibg.com/ijita/vol12/ijita12-3-p02.pdf
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STATIC AND DYNAMIC INTEGRATED EXPERT SYSTEMS: STATE OF THE ART ...
By: Galina Rybina, Victor Rybin
(3541 reads)
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Abstract: Systemized analysis of trends towards integration and hybridization in contemporary expert systems is
conducted, and a particular class of applied expert systems, integrated expert systems, is considered. For this
purpose, terminology, classification, and models, proposed by the author, are employed. As examples of
integrated expert systems, Russian systems designed in this field and available to the majority of specialists
are analyzed.
Keywords: integrated expert systems, real-time, simulation modeling, object-oriented model, rule, complex
engineering systems, software tools, task-oriented methodology.
ACM Classification Keywords: I.2.1 Artificial Intelligence: Applications and Expert Systems
Link:
STATIC AND DYNAMIC INTEGRATED EXPERT SYSTEMS: STATE OF THE ART, PROBLEMS AND TRENDS
Galina Rybina, Victor Rybin
http://www.foibg.com/ijita/vol12/ijita12-3-p01.pdf
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AN IDEA OF A COMPUTER KNOWLEDGE BANK ON MEDICAL DIAGNOSTICS
By: Chernyakhovskaya et al.
(3471 reads)
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Abstract: The paper is a description of information and software content of a computer knowledge bank on
medical diagnostics. The classes of its users and the tasks which they can solve are described. The information
content of the bank contains three ontologies: an ontology of observations in the field of medical diagnostics, an
ontology of knowledge base (diseases) in medical diagnostics and an ontology of case records, and also it
contains three classes of information resources for every division of medicine – observation bases, knowledge
bases, and data bases (with data about patients), that correspond to these ontologies. Software content consists
of editors for information of different kinds (ontologies, bases of observations, knowledge and data), and also of a
program which performs medical diagnostics.
Keywords: Medical Diagnostics, ontology model, parallel computing, knowledge bank.
ACM Classification Keywords: I.2.1 Applications and Expert Systems, J.3 Life and Medical Sciences.
Link:
AN IDEA OF A COMPUTER KNOWLEDGE BANK ON MEDICAL DIAGNOSTICS
Mery Chernyakhovskaya, Alexander Kleschev, Filip Moskalenko
http://www.foibg.com/ijita/vol15/ijita15-4-p07.pdf
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PARALLEL BETWEEN DEFINITION OF CHESS PLAYING PROGRAM AND DEFINITION OF AI 2
By: Dimiter Dobrev
(3969 reads)
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Abstract: In this report we will explain some earlier papers 1, 2 which are about definition of Artificial
Intelligence and about perfect AI. The definition of AI is intuitive in 1 and formal in 2. The perfect AI is a
program that satisfies the definition for AI but which is absolutely useless because of the combinatory explosion.
Most people do not understand these papers because they never saw AI and that is why for them the notion of AI
is too abstract. In this report we will make parallel between definition of chess playing program and definition of
AI. Of course, the definition of chess playing program is useless because people already know what this is.
Anyway, we will give you this definition because its construction follows closely the construction of the definition
of AI. Also the results are almost the same with the only difference that we can optimise the perfect chess playing
program in order to obtain a real chess playing program, but for the moment we cannot optimise the perfect AI in
order to obtain a real AI.
In this report we will not speak about AI. The only matter which we will observe will be about chess playing
programs. If you understand the construction and the results about chess playing programs then you can read the
papers 1, 2 and to see similar results about AI.
Keywords: AI Definition, Artificial Intelligence, Chess Playing Program.
ACM Classification Keywords: I.2.0 Artificial Intelligence - Philosophical foundations
Link:
PARALLEL BETWEEN DEFINITION OF CHESS PLAYING PROGRAM AND DEFINITION OF AI 2
Dimiter Dobrev
http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-2-p17.pdf
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TOWARDS THE NOOSPHERE OF INTANGIBLE (ESOTERICISM FROM MATERIALISTIC VIEWPOINT)
By: Vitaliy Lozovskiy
(3799 reads)
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Abstract: Exploration of intangible world is under the serious influence of esotericism. Mystics, religions,
unrestrained use of metaphors, fairy tales, gossips, unverified and uncertified “facts” – all this needs accurate
well-disposed, but sound scientific consideration. Our society really needs new ideas, new approaches and new
paradigms. Technological civilization becomes more and more complicated, risky and ecologically critical. The
current level of AI research cannot guarantee successful solution of societal control and management. Besides,
the human being itself practically did not change its mental and psychological abilities for many thousands years.
We can lose control over our society and its technology, if we do not change cardinally ourselves. In this text, I
tried to approach this problem – the problem of our noosphere from materialistic viewpoint.
Keywords: philosophy, noosphere, esoteric, intangible world, beliefs, soul, God, materialism, idealism, egregors
ACM Classification Keywords: I.2.0 General: Philosophical foundations, H.1.1 Systems and Information
Theory: Information theory, I.6.5 Model Development: Modeling methodologies
Link:
TOWARDS THE NOOSPHERE OF INTANGIBLE (ESOTERICISM FROM MATERIALISTIC VIEWPOINT)
Vitaliy Lozovskiy
http://www.foibg.com/ijita/vol13/ijita13-4-p16.pdf
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INFORMATICS, PSYCHOLOGY, SPIRITUAL LIFE
By: Larissa Kuzemina
(3601 reads)
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Abstract: How the processes of human perception exert influence on the development of the information science
is discussed in the article.
ACM Classification Keywords: I.2.0 General: Philosophical foundations
Link:
INFORMATICS, PSYCHOLOGY, SPIRITUAL LIFE
Larissa Kuzemina
http://www.foibg.com/ijita/vol13/ijita13-4-p15.pdf
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FORMAL DEFINITION OF ARTIFICIAL INTELLIGENCE 1
By: Dimiter Dobrev
(3614 reads)
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Abstract: A definition of Artificial Intelligence (AI) was proposed in 1 but this definition was not absolutely formal
at least because the word "Human" was used. In this paper we will formalize the definition from 1. The biggest
problem in this definition was that the level of intelligence of AI is compared to the intelligence of a human being.
In order to change this we will introduce some parameters to which AI will depend. One of this parameters will be
the level of intelligence and we will define one AI to each level of intelligence. We assume that for some level of
intelligence the respective AI will be more intelligent than a human being. Nevertheless, we cannot say which is
this level because we cannot calculate its exact value.
Keywords: AI Definition, Artificial Intelligence.
ACM Classification Keywords: I.2.0 Artificial Intelligence - Philosophical foundations
Link:
FORMAL DEFINITION OF ARTIFICIAL INTELLIGENCE 1
Dimiter Dobrev
http://www.foibg.com/ijita/vol12/ijita12-3-p12.pdf
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CONCEPTUAL IDEA OF IDENTIFICATION OF PATTERNS AND PROBLEM SOLVING ...
By: Zinoviy Rabynovych
(3503 reads)
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Abstract: Given cybernetic idea is formed on the basis of neurophysiologic, neuropsychological, neurocybernetic
data and verisimilar hypotheses, which fill gaps of formers, of the author as well. First of all attention is focused
on general principles of a Memory organization in the brain and processes which take part in it that realize such
psychical functions as perception and identification of input information about patterns and a problem solving,
which is specified by the input and output conditions, as well. Realization of the second function, essentially
cogitative, is discussed in the aspects of figurative and lingual thinking on the levels of intuition and
understanding. The reasons of advisability and principles of bionic approach to creation of appropriate tools of
artificial intelligent are proposed.
Keywords: pattern, perception, identification, solving, problem generator, understanding, intuition.
ACM Classification Keywords: I.2.0. Artificial intelligence: general – cognitive simulation; I.2.4. Artificial
intelligence: knowledge representation formalisms and methods – semantic networks; I.2.6. Artificial intelligence:
learning; I.5.1. Pattern recognition: models – neural nets; J.3. Life and medical sciences – biology and genetics.
Link:
CONCEPTUAL IDEA OF IDENTIFICATION OF PATTERNS AND PROBLEM SOLVING IN THE HUMAN’S MEMORY AND THE POSSIBILITIES TO USE IT IN ARTIFICIAL INTELLIGENT
Zinoviy Rabynovych
http://www.foibg.com/ijita/vol12/ijita12-1-p06.pdf
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TWO FUNDAMENTAL PROBLEMS CONNECTED WITH AI 1
By: Dimiter Dobrev
(3853 reads)
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(1.00/10)
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Abstract: This paper is about two fundamental problems in the field of computer science. Solving these two
problems is important because it has to do with the creation of Artificial Intelligence. In fact, these two problems
are not very famous because they have not many applications outside the field of Artificial Intelligence.
In this paper we will give a solution neither of the first nor of the second problem. Our goal will be to formulate
these two problems and to give some ideas for their solution.
Keywords: AI Definition, Artificial Intelligence.
ACM Classification Keywords: I.2.0 Artificial Intelligence - Philosophical foundations
Link:
TWO FUNDAMENTAL PROBLEMS CONNECTED WITH AI 1
Dimiter Dobrev
http://www.foibg.com/ijita/vol15/ijita15-3-p02.pdf
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A COGNITIVE SCIENCE REASONING IN RECOGNITION OF EMOTIONS IN AUDIO-VISUAL SPEECH
By: Slavova et al.
(3814 reads)
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Abstract: In this report we summarize the state-of-the-art of speech emotion recognition from the signal
processing point of view. On the bases of multi-corporal experiments with machine-learning classifiers, the
observation is made that existing approaches for supervised machine learning lead to database dependent
classifiers which can not be applied for multi-language speech emotion recognition without additional training
because they discriminate the emotion classes following the used training language. As there are experimental
results showing that Humans can perform language independent categorisation, we made a parallel between
machine recognition and the cognitive process and tried to discover the sources of these divergent results. The
analysis suggests that the main difference is that the speech perception allows extraction of language
independent features although language dependent features are incorporated in all levels of the speech signal
and play as a strong discriminative function in human perception. Based on several results in related domains, we
have suggested that in addition, the cognitive process of emotion-recognition is based on categorisation, assisted
by some hierarchical structure of the emotional categories, existing in the cognitive space of all humans. We
propose a strategy for developing language independent machine emotion recognition, related to the
identification of language independent speech features and the use of additional information from visual
(expression) features.
ACM Classification Keywords: I.2 Artificial Intelligence, 1.2.0.Cognitive simulation, 1.2.7. Natural language
processing - Speech recognition and synthesis
Link:
A COGNITIVE SCIENCE REASONING IN RECOGNITION OF EMOTIONS IN AUDIO-VISUAL SPEECH
Velina Slavova, Werner Verhelst, Hichem Sahli
http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-4-p05.pdf
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EDUCATION COMPLEX "MULTI-AGENT TECHNOLOGIES FOR PARALLEL AND DISTRIBUTED ...
By: Timofeev et al.
(4148 reads)
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Abstract: The paper describes education complex "Multi-agent Technologies for Parallel and Distributed
Information Processing in Telecommunication Networks".
Keywords: multi-agent technologies, parallel and distributed information processing, telecommunication and
computer networks.
ACM Classification Keywords: I.2. Artificial Intelligence
Link:
EDUCATION COMPLEX "MULTI-AGENT TECHNOLOGIES FOR PARALLEL AND DISTRIBUTED INFORMATION PROCESSING IN TELECOMMUNICATION NETWORKS"
Adil Timofeev, Alexey Syrtzev, Anton Kolotaev
http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-1-p10.pdf
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SYSTEMOLOGICAL KNOWLEDGE-BASED TECHNOLOGY FOR ...
By: Elchaninov et al.
(3817 reads)
Rating:
(1.00/10)
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Abstract: Original method and technology of systemological «Unit-Function-Object» analysis for solving
complete ill-structured problems is proposed. The given visual grapho-analytical UFO technology for the fist time
combines capabilities and advantages of the system and object approaches and can be used for business
reengineering and for information systems design. UFO- technology procedures are formalized by pattern-theory
methods and developed by embedding systemological conceptual classification models into the system-object
analysis and software tools. Technology is based on natural classification and helps to investigate deep semantic
regularities of subject domain and to take proper account of system-classes essential properties the most
objectively. Systemological knowledge models are based on method which for the first time synthesizes system
and classification analysis. It allows creating CASE-toolkit of a new generation for organizational modelling for
companies’ sustainable development and competitive advantages providing.
Keywords: systemology, conceptual classification model of knowledge, natural classification.
ACM Classification Keywords: I.2 Artificial Intelligence – I.2.6 Learning: Knowledge Acquisition
Link:
SYSTEMOLOGICAL KNOWLEDGE-BASED TECHNOLOGY FOR SOLVING COMPLETE ILL-STRUCTURED PROBLEMS
Dmitriy Elchaninov, Mikhail Bondarenko, Kateryna Solovyova,
Sergey Matorin, Vasy Matorin
http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-4-p03.pdf
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COGNITIVE BIAS IN KNOWLEDGE ENGINEERING COURSE
By: Tatiana Gavrilova, Seppo Puuronen
(3866 reads)
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(1.00/10)
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Abstract: The paper presents experience in teaching of knowledge and ontological engineering. The teaching
framework is targeted on the development of cognitive skills that will allow facilitating the process of knowledge
elicitation, structuring and ontology development for scaffolding students’ research. The structuring procedure is
the kernel of ontological engineering. The 5-steps ontology designing process is described. Special stress is put
on “beautification” principles of ontology creating. The academic curriculum includes interactive game-format
training of lateral thinking, interpersonal cognitive intellect and visual mind mapping techniques.
Keywords: ontologies, knowledge engineering, analytical skills.
ACM Classification Keywords: I.2 Artificial intelligence.
Link:
COGNITIVE BIAS IN KNOWLEDGE ENGINEERING COURSE
Tatiana Gavrilova, Seppo Puuronen
http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-3-p02.pdf
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AUTOMATED PROBLEM DOMAIN COGNITION PROCESS IN INFORMATION SYSTEMS DESIGN
By: Maxim Loginov, Alexander Mikov
(4405 reads)
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(1.00/10)
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Abstract: An automated cognitive approach for the design of Information Systems is presented. It is supposed to
be used at the very beginning of the design process, between the stages of requirements determination and
analysis, including the stage of analysis. In the context of the approach used either UML or ERD notations may
be used for model representation. The approach provides the opportunity of using natural language text
documents as a source of knowledge for automated problem domain model generation. It also simplifies the
process of modelling by assisting the human user during the whole period of working upon the model (using UML
or ERD notations).
Keywords: intellectual modeling technologies, information system development, structural analysis of loosely
structured natural language documents.
ACM Classification Keywords: I.2 Artificial Intelligence: I.2.7 Natural Language Processing – Text analysis
Link:
AUTOMATED PROBLEM DOMAIN COGNITION PROCESS IN INFORMATION SYSTEMS DESIGN
Maxim Loginov, Alexander Mikov
http://www.foibg.com/ijita/vol14/ijita14-3-p09.pdf
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DISTINCTIVE FEATURES OF MOBILE MESSAGES PROCESSING
By: Braithwaite et al.
(3583 reads)
Rating:
(1.00/10)
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Abstract: World’s mobile market pushes past 2 billion lines in 2005. Success in these competitive markets
requires operational excellence with product and service innovation to improve the mobile performance. Mobile
users very often prefer to send a mobile instant message or text messages rather than talking on a mobile. Well
developed “written speech analysis” does not work not only with “verbal speech” but also with “mobile text
messages”. The main purpose of our paper is, firstly, to highlight the problems of mobile text messages
processing and, secondly, to show the possible ways of solving these problems.
Keywords: mobile text messages, text message analysis, natural language processing
ACM Classification Keywords: I.2 Artificial intelligence: I.2.7 Natural Language Processing – Text Analysis
Link:
DISTINCTIVE FEATURES OF MOBILE MESSAGES PROCESSING
Ken Braithwaite, Mark Lishman, Vladimir Lovitskii, David Traynor
http://www.foibg.com/ijita/vol14/ijita14-2-p08.pdf
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MULTIMODAL MAN-MACHINE INTERFACE AND VIRTUAL REALITY FOR ASSISTIVE ...
By: Timofeev et al.
(4202 reads)
Rating:
(1.00/10)
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Abstract: The results of research the intelligence multimodal man-machine interface and virtual reality means for
assistive medical systems including computers and mechatronic systems (robots) are discussed. The gesture
translation for disability peoples, the learning-by-showing technology and virtual operating room with 3D
visualization are presented in this report and were announced at International exhibition "Intelligent and Adaptive
Robots–2005".
Keywords: multimodal man-machine interface, virtual reality, assistive medical systems.
ACM Classification Keywords: I.2. Artificial Intelligence
Link:
MULTIMODAL MAN-MACHINE INTERFACE AND VIRTUAL REALITY FOR ASSISTIVE MEDICAL SYSTEMS
Adil Timofeev, Alexander Nechaev, Igor Gulenko, Vasily Andreev,
Svetlana Chernakova, Mikhail Litvinov
http://www.foibg.com/ijita/vol14/ijita14-2-p04.pdf
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ON LOGICAL CORRECTION OF NEURAL NETWORK ALGORITHMS FOR PATTERN RECOGNITION
By: Aslanyan et al.
(3513 reads)
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(1.00/10)
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Abstract: The paper is devoted to the description of hybrid pattern recognition method developed by research
groups from Russia, Armenia and Spain. The method is based upon logical correction over the set of
conventional neural networks. Output matrices of neural networks are processed according to the potentiality
principle which allows increasing of recognition reliability.
Keywords: Pattern recognition, forecasting, neural networks, logical correction.
ACM Classification Keywords: I.2. Artificial Intelligence, I.5. Pattern Recognition, F.1.1 Models of Computation
Link:
ON LOGICAL CORRECTION OF NEURAL NETWORK ALGORITHMS FOR PATTERN RECOGNITION
Levon Aslanyan, Luis de Mingo, Juan Castellanos, Vladimir Ryazanov,
Fedor Chelnokov, Alexander Dokukin
http://www.foibg.com/ijita/vol14/ijita14-3-p01.pdf
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AUTOMATED RESPONSE TO QUERY SYSTEM
By: Lovitskii et al.
(3802 reads)
Rating:
(1.00/10)
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Abstract: SMS (Short Message Service) is now a hugely popular and a very powerful business communication
technology for mobile phones. In order to respond correctly to a free form factual question given a large collection
of texts, one needs to understand the question at a level that allows determining some of constraints the question
imposes on a possible answer. These constraints may include a semantic classification of the sought after
answer and may even suggest using different strategies when looking for and verifying a candidate answer. In
this paper we focus on various attempts to overcome the major contradiction: the technical limitations of the SMS
standard, and the huge number of found information for a possible answer.
Keywords: mobile text messages, text message analysis and question-answering system
ACM Classification Keywords: I.2 Artificial intelligence: I.2.7 Natural Language Processing: Text analysis.
Link:
AUTOMATED RESPONSE TO QUERY SYSTEM
Vladimir Lovitskii, Michael Thrasher, David Traynor
http://www.foibg.com/ijita/vol15/ijita15-2-p07.pdf
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GENETIC ALGORITHM FOR FINDING THE KEY’S LENGTH AND CRYPTANALYSIS
By: Aleksey Gorodilov, Vladimir Morozenko
(3898 reads)
Rating:
(1.00/10)
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Abstract: In this article we discuss a possibility to use genetic algorithms in cryptanalysis. We developed and
described the genetic algorithm for finding the secret key of a block permutation cipher. In this case key is a
permutation of some first natural numbers. Our algorithm finds the exact key’s length and the key with controlled
accuracy. Evaluation of conducted experiment’s results shows that the almost automatic cryptanalysis is possible.
Keywords: cryptography, cryptanalysis, block permutation cipher, genetic algorithm, data encryption
ACM Classification Keywords: I.2 Artificial Intelligence: I.2.8 Problem Solving, Control Methods, and Search Heuristic methods, E.3 DATA ENCRYPTION Code breaking.
Link:
GENETIC ALGORITHM FOR FINDING THE KEY’S LENGTH AND CRYPTANALYSIS OF THE PERMUTATION CIPHER
Aleksey Gorodilov, Vladimir Morozenko
http://www.foibg.com/ijita/vol15/ijita15-1-p15.pdf
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I&R SYSTEMS ON THE INTERNET/INTRANET CITES AS THE TOOL FOR DISTANCE LEARNING
By: Andrii Donchenko
(3415 reads)
Rating:
(1.00/10)
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Abstract: This article considers the Internet/Intranet information systems as the tool for distance learning. Author
considers the model of the 3-tier WEB based information system, the idea of the language for implementing and
customized solution, which includes the original language and processor for fast prototyping and implementing
small and middle sized Internet/Intranet information systems.
Keywords: I&R Systems, client-server architecture, distance learning
ACM Classification Keywords: I&R Systems
Link:
I&R SYSTEMS ON THE INTERNET/INTRANET CITES AS THE TOOL FOR DISTANCE LEARNING
Andrii Donchenko
http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-3-p17.pdf
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THE FUZZY-NEURO CLASSIFIER FOR DECISION SUPPORT
By: Galina Setlak
(3563 reads)
Rating:
(1.00/10)
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Abstract: This paper aims at development of procedures and algorithms for application of artificial intelligence
tools to acquire process and analyze various types of knowledge. The proposed environment integrates
techniques of knowledge and decision process modeling such as neural networks and fuzzy logic-based
reasoning methods. The problem of an identification of complex processes with the use of neuro-fuzzy systems is
solved. The proposed classifier has been successfully applied for building one decision support systems for
solving managerial problem.
Keywords: artificial intelligence, artificial neural networks, fuzzy inference systems, classification, decision
support.
ACM Classification Keywords: I. Computing Methodologies, I.2 Artificial Intelligence
Link:
THE FUZZY-NEURO CLASSIFIER FOR DECISION SUPPORT
Galina Setlak
http://www.foibg.com/ijita/vol15/ijita15-1-p03.pdf
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AUTHORS SUPPORT IN THE TM4L ENVIRONMENT
By: Darina Dicheva, Christo Dichev
(3218 reads)
Rating:
(1.00/10)
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Abstract: The TM4L environment enables the development and use of ontology-aware courseware based on the
Semantic Web technology Topic Maps. In this paper we discuss its features in the light of authoring support,
giving illustrative examples to highlight its use.
Keywords: Ontologies, digital libraries, courseware, Topic Maps.
ACM Classification Keywords: H.5.4 Information Interfaces and Presentation: Hypertext/Hypermedia –
navigation.
Link:
AUTHORS SUPPORT IN THE TM4L ENVIRONMENT
Darina Dicheva, Christo Dichev
http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-3-p03.pdf
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WEB INTERFACES DESTINED FOR PEOPLE WITH DISABILITIES
By: Ciocoiu et al.
(3579 reads)
Rating:
(1.00/10)
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Abstract: One of the main characteristics of the world that we live in is the access to information and one of the
main ways to reach the information is the Internet. Most Internet sites put accessibility problem on a secondary
plan. If we try to define this concept (accessibility) we could say that accessibility it’s a way to offer access to
information for the people with disabilities.
For example blind people can’t navigate on the Internet like usual people. For that reason Internet sites have to
put at their disposal ways to make their content known to this people. Accessibility does not refer only at blind
people the web accessibility refers to all people who lost their ability to access the Internet sites.
The web accessibility includes every disability that stops people with disabilities to access the web sites content
like hearing disability, neurological and cognitive. People that have low speed Internet connection or with low
performance computers can use the web accessibility.
Keywords: Accessibility, Adaptability, Adaptable interfaces, Interactive database
ACM Classification: H 5.2. Information interfaces and presentation (e.g., HCI): Miscellaneous.
Link:
WEB INTERFACES DESTINED FOR PEOPLE WITH DISABILITIES
Laura Ciocoiu, Ionuţ Petre, Dragoş Smada, Dragoş Nicolau
http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-5-p01.pdf
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INFRAWEBS AXIOM EDITOR – A GRAPHICAL ONTOLOGY-DRIVEN TOOL ...
By: Agre et al.
(3611 reads)
Rating:
(1.00/10)
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Abstract: The current INFRAWEBS European research project aims at developing ICT framework enabling
software and service providers to generate and establish open and extensible development platforms for Web
Service applications. One of the concrete project objectives is developing a full-life-cycle software toolset for
creating and maintaining Semantic Web Services (SWSs) supporting specific applications based on Web Service
Modelling Ontology (WSMO) framework. According to WSMO, functional and behavioural descriptions of a SWS
may be represented by means of complex logical expressions (axioms). The paper describes a specialized userfriendly
tool for constructing and editing such axioms – INFRAWEBS Axiom Editor. After discussing the main
design principles of the Editor, its functional architecture is briefly presented. The tool is implemented in Eclipse
Graphical Environment Framework and Eclipse Rich Client Platform.
Keywords: Web services, Semantic Web Services, Web Service Modelling Ontology framework.
ACM Classification Keywords: H.5.2 User Interfaces: Graphical user interfaces (GUI)
Link:
INFRAWEBS AXIOM EDITOR – A GRAPHICAL ONTOLOGY-DRIVEN TOOL
FOR CREATING COMPLEX LOGICAL EXPRESSIONS
Gennady Agre, Petar Kormushev, Ivan Dilov
http://www.foibg.com/ijita/vol13/ijita13-2-p12.pdf
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