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RESEARCH OF ACCURACY OF GUARANTEED OPERAYTING TIME PREDICTION BY FRACTILE ...
By: System Administrator
(27479 reads)
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Abstract: This paper describes a method of forecasting the guaranteed operating time using the quantile zones.
There are presented an equations and graphics for calculations of the guaranteed time operating error.
Key words: Reliability, guaranteed time, parameters’ drifts, quasi-deterministic, quantile zones.
ACM Classification Keywords: B.8.1 Hardware - Performance and Reliability - Reliability, Testing, and Fault-
Tolerance
Link:
RESEARCH OF ACCURACY OF GUARANTEED OPERAYTING TIME PREDICTION
BY FRACTILE ZONES METHOD
Leonid Nedostup, Myroslav Kiselychnyk, Pavlo Zayarnyuk
http://foibg.com/ibs_isc/ibs-27/ibs-27-p23.pdf
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SYSTEM MODIFICATION MODEL CREATING SYNTHESIS FOR ALGORITHM FORMULAS
By: System Administrator
(3244 reads)
Rating:
(1.00/10)
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Abstract: An analysis of the basic system for the synthesis of formulas of algebra algorithms was conducted The
need for a construction of an expanded system for computer synthesis that would allow simplifying the notation of
algebra formulas was demonstrated. Basing on functional criterion purpose a three-level model of decomposition
was created. The model is recorded with the help of formulas of algebra algorithms. An implementation of the
created model was made in the MS Visual Studio 2010 platform in C# programming language and samples are
presented.
Keywords: Algebra, algorithm, model, formula, subsystem, operations: formatting editor
ACM Classification Keywords: F.2 Analysis of algorithms and problem complexity
Link:
SYSTEM MODIFICATION MODEL CREATING SYNTHESIS FOR ALGORITHM FORMULAS
Magdalena Niziołek, Volodymyr Ovsyak
http://foibg.com/ibs_isc/ibs-27/ibs-27-p22.pdf
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PREPROCESSING "RAW" DATA SETS AS AN IMPORTANT ASPECT OF INTELLIGENT ...
By: Sergii Konovalenko
(3419 reads)
Rating:
(1.00/10)
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Abstract: The paper highlighted the problems of selection methods for the preparation of the "raw" data for
subsequent processing in the systems of intelligent information analysis. Each application domain contains a lot
of different types of identification characteristics. Most algorithms are unable to work directly with all types and
formats of data. Therefore, the preparation or the transformation of the input data set is an integral part of
analysis system design. In the paper discusses methods of transformation of continuous and discrete types of
data useful for analysis of the vector set. On the example of the domain "Information customs control" has been
shown as configured training set for recognition of risks violation of customs legislation, based on a neural
network the type multilayer perceptron. Were also considered methods of forming pseudographic patterns from
the input sequence data initially did not a graphic of origin.
Keywords: preprocessing, transformation data
ACM Classification Keywords: D.2 SOFTWARE ENGINEERING – D.2.12 Interoperability – Data mapping
Link:
PREPROCESSING "RAW" DATA SETS AS AN IMPORTANT ASPECT OF INTELLIGENT INFORMATION PROCESSING
Sergii Konovalenko
http://foibg.com/ibs_isc/ibs-27/ibs-27-p21.pdf
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USING REAL-TIME SYSTEM TO MANAGE PRODUCTION DATA IN A DISTRIBUTED SYSTEM
By: Magdalena Dobrzańska et al.
(3406 reads)
Rating:
(1.00/10)
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Abstract: The article presents the design and construction of data acquisition module, which allows read and
write data counted by the data acquisition board. The acquisition was controlled using a program that was
created in the QNX Momentics development environment, based on the architecture of the RLP. It involves the
measurement card control directly by the read and write to memory registers. Data acquisition was performed on
a computer running a hard real-time system QNX6 Neutrino. With the use of available tools QNX Neutrino RTOS
was realized network communication process for managing production data in a distributed system. The article
presents also industrial networks such as Profibus and Ethernet. Discusses the characteristics of distributed
systems and the requirements for real-time systems.
Keywords: real-time system, data acquisition, distributed system
ACM Classification Keywords: J. Computer Applications, J.2 Physical Sciences And Engineering, J.7
Computers In Other Systems,
Link:
USING REAL-TIME SYSTEM TO MANAGE PRODUCTION DATA
IN A DISTRIBUTED SYSTEM
Magdalena Dobrzańska, Paweł Dobrzański, Artur Łopuszyński, Łukasz Kurowski
http://foibg.com/ibs_isc/ibs-27/ibs-27-p20.pdf
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INFORMATION SYSTEMS OF ADMINISTRATIVE JUSTICE – AS SOCIAL TOOL FOR ...
By: Tatjana Bilevičienė, Eglė Bilevičiūtė
(3399 reads)
Rating:
(1.00/10)
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Abstract: Today in Lithuania understanding the principles of administrative justice is aggravated because of
complicate system of institutions dealing with pre-trial procedure of administrative offenses and the administrative
judicial system, and the imperfection of the current laws. For Lithuanian citizens are difficult to orient in
administrative law norms. At the same time with the administrative law violations often every citizen is faced.
Therefore, public awareness and legal education serve for formation of civil society. Information and
communications technologies in today's society are perceived and practical sensed as background of any the
modern organization and public management environments model. It can be argued that public education on
matters of basic justice administrative measures should be applied in the information space. The first steps in
usage of public relations and information technologies activities in courts have to go. Lithuanian administrative
courts apply the public information activities on the court web sites. However, the authors’ studies show that
public authorities and administrative courts websites provide information mainly oriented to publicity of
proceedings the trial. Information about the administrative features of the infringement is almost unavailable. The
article deals with public information policies and implementation of the accessibility of administrative justice in
Lithuania in cyberspace.
Keywords: administrative justice, principles of public information, the information society.
ACM Classification Keywords: J.1 Administrative Data Processing - Law
Link:
INFORMATION SYSTEMS OF ADMINISTRATIVE JUSTICE – AS SOCIAL TOOL FOR
IMPLEMENTATION OF PUBLICITY PRINCIPLE
Tatjana Bilevičienė, Eglė Bilevičiūtė
http://foibg.com/ibs_isc/ibs-27/ibs-27-p19.pdf
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THE EDUCATIONAL TECHNOLOGY FOR LEARNING FOREIGN WORDS
By: Andrey Dukhovny
(3769 reads)
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Abstract: German psychologist Hermann Ebbinghaus, the first person studied a memory, experimentally
publishes his forgetting curve, which characterized the ability of a human brain to remember the information. He
proved experimentally that during the first hour of learning process 60 percent of information is forgotten and after
10 hours of workload our memory abandons 35 percent of information. Then forgetting process become slower
and after six days our memory abandons near 20 percent of the learning material. As a result of the research
Hermann Ebbinghaus has suggested the algorithm of the effective learning. Based on the modification of the
algorithm we have created a special service for learning foreign words called WordSteps?. It allows to learn more
than 97 percent of new information even in a year after the first training.
Keywords: Memory, natural language processing, learning words
ACM Classification Keywords: I.2.7 Natural Language Processing
Link:
THE EDUCATIONAL TECHNOLOGY FOR LEARNING FOREIGN WORDS
Andrey Dukhovny
http://foibg.com/ibs_isc/ibs-27/ibs-27-p18.pdf
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INTELLIGENT TUTORING SYSTEM FOR BELARUSIAN AS A FOREIGN LANGUAGE
By: Olga Yeliseyeva, Yury Kim
(3531 reads)
Rating:
(1.00/10)
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Abstract: The paper presents the concept of an intelligent tutoring system for learning Belarusian as a foreign
language. At the heart of the system is a model of learning consisting of the following models: tutor model, learner
model, model of Interaction, learning process structure model, learning activity forms model, academic discipline
model.
Keywords: learning model, tutor model, learner model, model of Interaction, learning process structure model,
learning activity forms model, academic discipline model.
ACM Classification Keywords: I.2 ARTIFICIAL INTELLIGENCE - I.2.1 Applications and Expert Systems -
Natural language interfaces General.
Link:
INTELLIGENT TUTORING SYSTEM FOR BELARUSIAN AS A FOREIGN LANGUAGE
Olga Yeliseyeva, Yury Kim
http://foibg.com/ibs_isc/ibs-27/ibs-27-p17.pdf
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PARAMETERIZATION OF COMMENTS FROM PERUVIAN FACEBOOK AND TWITTER...
By: Angels Catena, Mikhail Alexandrov, Roque López
(3521 reads)
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Abstract: Millions of Facebook and Twitter users send their comments all over the world about products and
services, political and economical events, etc. (almost 3 billions each day) The principal problem of opinion
mining such information is text parameterization, and in the paper we describe our experience in solution of this
problem with Peruvian Facebook and Twitter. We use enriched vocabularies of Spanish SentiStrength? and
propose a simple algorithm for evaluation of sentiment contribution. The work was completed in the framework of
the project WAYRA (Telefonica-Peru). The results proved to be promised: opinion analysis of parameterized texts
showed the accuracy about 75% with elementary classifier
Keywords: opinion mining, SentiStrength?, Facebook and Twitter
ACM Classification Keywords: I.2.7 Natural Language Processing
Link:
PARAMETERIZATION OF COMMENTS FROM PERUVIAN FACEBOOK AND
TWITTER: LEXICAL RESOURCES AND ALGORITHM
Angels Catena, Mikhail Alexandrov, Roque López
http://foibg.com/ibs_isc/ibs-27/ibs-27-p16.pdf
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SPANISH SENTISTRENGTH AS A TOOL FOR OPINION MINING PERUVIAN FACEBOOK
By: Roque López, Javier Tejada, MikeThelwall
(5241 reads)
Rating:
(1.00/10)
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Abstract: SentiStrength? is a well-known tool for opinion mining texts circulated in social networks. There are
English, Spanish, Russian versions of SentiStrength?, which demonstrated their advantages in numerous
examples. In the paper we present our classifier of opinions for analysis of comments from the Peruvian
Facebook and Twitter. We corrected and enriched SentiStrength? Spanish vocabularies having in view the
properties of Peruvian Spanish. We also slightly modified the SentiStrength? algorithm rules. We demonstrate the
results we have reached with our classifier and SentiStrength?. The experimental results are competitive with
traditional approaches developed in this area, and the total accuracy proved to be 72%.
Keywords: SentiStrength?, Opinion Mining, Facebook and Twitter
Link:
SPANISH SENTISTRENGTH AS A TOOL FOR OPINION MINING PERUVIAN
FACEBOOK AND TWITTER
Roque López, Javier Tejada, MikeThelwall?
http://foibg.com/ibs_isc/ibs-27/ibs-27-p15.pdf
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THE STUDY OF FACTORS RELADED WITH SINGLE-DOCUMENT KEYWORD EXTRACTION
By: Popova Svetlana
(3486 reads)
Rating:
(1.00/10)
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Abstract: In this paper we consider the problem of keyword extraction for the document annotation. We study
different statistic-based measures for such extraction and compare the results with the annotations made by
skilled experts. The experiments were completed with the Inspec data set. The quality of annotation was
evaluated by means of R-Precision? score.
Keywords: keywords extraction, single document annotation, natural language processing.
ACM Classification Keywords: I.2.7. Natural Language Processing
Link:
THE STUDY OF FACTORS RELADED WITH SINGLE-DOCUMENT
KEYWORD EXTRACTION
Popova Svetlana
http://foibg.com/ibs_isc/ibs-27/ibs-27-p14.pdf
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AUTOMATED TAG EXTRACTION & CLUSTERING IN DOCUMENTS CONTAINING COMPOSITIONAL ...
By: Vera Danilova, Xavier Blanco, Dmitry Stefanovskiy
(3861 reads)
Rating:
(1.00/10)
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Abstract: This article aims to present the results of clustering in documents, extracted from Internet and related
to compositional phrasemes (pragmatemes). We are studying conditions (situation, context), which can stipulate
presence of these units in a text. Pragmateme’s structure and functioning particularities are taken into
consideration. An important objective of the work is selection of an adequate algorithm for tag extraction and
clustering, so that we can further compare and apply the results, obtained for different languages.
Keywords: pragmateme, compositional phraseme, tag extraction, clustering analysis
ACM Classification Keywords: I.2.7. Natural Language Processing
Link:
AUTOMATED TAG EXTRACTION & CLUSTERING
IN DOCUMENTS CONTAINING COMPOSITIONAL PHRASEMES
Vera Danilova, Xavier Blanco, Dmitry Stefanovskiy
http://foibg.com/ibs_isc/ibs-27/ibs-27-p13.pdf
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STUDYING SPECIAL TEXT RUSSIAN CORPORA BY THE LEXICO-SYNTACTIC MODELS
By: Maria Khokhlova, Victor Zakharov
(3573 reads)
Rating:
(1.00/10)
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Abstract: The paper presents the results of automatic term extraction from a special text corpus (a collection of
papers on corpus linguistics) by means of statistical methods (association measures) combined with certain
syntactic models. The approach undertaken in the paper is based on lexico-syntactic models that can be viewed
as models of phrases for the Russian language. The Sketch Engine system represents itself a corpus tool which
takes as input a corpus of any language and corresponding grammar patterns. The system gives information
about a word’s collocability on concrete dependency models, and generates lists of the most frequent phrases for
a given word based on appropriate models. The extracted terms belong to various clusters and represent the
lexical structure of the texts in question. The applied method includes statistical analysis that enables estimating
paradigmatic and syntagmatic relations between lexemes based on their distribution.
Keywords: Corpora, distributional and statistical methods, collocations, automatic term extraction, thesaurus.
ACM Classification Keywords: I.2.7 Natural Language Processing
Link:
STUDYING SPECIAL TEXT RUSSIAN CORPORA BY THE LEXICO-SYNTACTIC MODELS
Maria Khokhlova, Victor Zakharov
http://foibg.com/ibs_isc/ibs-27/ibs-27-p12.pdf
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STUDYING SPECIAL TEXT RUSSIAN CORPORA BY THE LEXICO-SYNTACTIC MODELS
By: Maria Khokhlova, Victor Zakharov
(3531 reads)
Rating:
(1.00/10)
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Abstract: The paper presents the results of automatic term extraction from a special text corpus (a collection of
papers on corpus linguistics) by means of statistical methods (association measures) combined with certain
syntactic models. The approach undertaken in the paper is based on lexico-syntactic models that can be viewed
as models of phrases for the Russian language. The Sketch Engine system represents itself a corpus tool which
takes as input a corpus of any language and corresponding grammar patterns. The system gives information
about a word’s collocability on concrete dependency models, and generates lists of the most frequent phrases for
a given word based on appropriate models. The extracted terms belong to various clusters and represent the
lexical structure of the texts in question. The applied method includes statistical analysis that enables estimating
paradigmatic and syntagmatic relations between lexemes based on their distribution.
Keywords: Corpora, distributional and statistical methods, collocations, automatic term extraction, thesaurus.
ACM Classification Keywords: I.2.7 Natural Language Processing
Link:
STUDYING SPECIAL TEXT RUSSIAN CORPORA
BY THE LEXICO-SYNTACTIC MODELS
Maria Khokhlova, Victor Zakharov
http://foibg.com/ibs_isc/ibs-27/ibs-27-p12.pdf
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MULTICRITERIA SELECTION OF PERSPECTIVE OBJECTS FOR INVESTMENTS: DSS SVIR VS. MU
By: Pavel Mogilyov, Mikhail Alexandrov, Stanislav Mikoni
(3122 reads)
Rating:
(1.00/10)
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Abstract: The problem of selection of perspective objects for investments is considered. Objects are Russian
companies of mobile communication. To solve this problem we use the decision-making support system (DSS)
SVIR and manual procedures of the Muchnik method. We shortly describe these tools and show that both
approaches lead to close results. The paper is prepared on the basis of B.Sc. thesis of the first author
Keywords: multicriteria selection, DSS SVIR, Muchnik method
Link:
MULTICRITERIA SELECTION OF PERSPECTIVE OBJECTS FOR INVESTMENTS:
DSS SVIR VS. MUCHNIK METHOD
Pavel Mogilyov, Mikhail Alexandrov, Stanislav Mikoni
http://foibg.com/ibs_isc/ibs-27/ibs-27-p11.pdf
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A MULTI-LEVEL FUZZY LOGIC SCHEME FOR MODELING COMPLEX PROBLEMS
By: July Diana Banda-Tapia, Regina Ticona Herrera, Dennis Barrio
(3137 reads)
Rating:
(1.00/10)
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Abstract: In this paper, we propose to extend traditional Fuzzy Logic(FL) techniques by creating a second set of
inference rules (and the corresponding inference mechanism) in order to effectively produce results exploitable by
decision makers. We present a formal definition of a multi-level FL scheme and its application in the development
of: i) a break-even inference machine and ii) a legal argumentation system. The proposed scheme is shown to be
useful in modeling systems where intermediary fuzzy concepts come to play, and it could be applied in several
problems analog to the ones presented in this study.
Keywords: Multilevel Fuzzy Logic, Knowledge Based Systems, Legal Argumentation System.
Link:
A MULTI-LEVEL FUZZY LOGIC SCHEME FOR MODELING COMPLEX PROBLEMS
July Diana Banda-Tapia?, Regina Ticona Herrera, Dennis Barrios-Aranibar?
Joe Tekli, Richard Chbeir
http://foibg.com/ibs_isc/ibs-27/ibs-27-p10.pdf
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THE MODEL OF DECISION SUPPORT SYSTEM FOR A MANUFACTURING COMPANY
By: Monika Piróg-Mazur
(3918 reads)
Rating:
(1.00/10)
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Abstract: Decision making processes in manufacturing companies are becoming extremely complex and require
more and more knowledge, both of technological quality of products, concerning a production process, as well as
the industrial engineering and control. The increase in the scale of production and the level of technological
development have caused that industrial companies have become systems that require the application of modern
effective methods of the decision making. This paper presents a study of the issues related to decision-making
and knowledge acquisition in enterprises. The model of intelligent decision support system for the production
company has been developed. The paper presents the main idea of system and data models in the form of ER
diagram, that will finally be implemented in RDBMS environment. In addition, an attempt to assess such systems.
Keywords: decision support systems, knowledge base, knowledge representation, knowledge acquisition.
ACM Classification Keywords: I. Computing Methodologies, I.2.1 Applications and Expert Systems,
J. Computer Applications,
Link:
THE MODEL OF DECISION SUPPORT SYSTEM
FOR A MANUFACTURING COMPANY
Monika Piróg-Mazur?
http://foibg.com/ibs_isc/ibs-27/ibs-27-p09.pdf
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STUDY RELATIONSHIP BETWEEN UTILITY FUNCTION AND MEMBERSHIP FUNCTION IN THE ...
By: Stanislav V. Mikoni, Marina I. Garina
(4171 reads)
Rating:
(1.00/10)
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Abstract: We consider the condition of the same ordering of objects due to using the convolution of utility
functions and membership functions. It turns out that the same order takes place when the each utility function of
an attribute is constructed as a convolution of fuzzy membership functions of this attribute. To transform
membership functions to utility function of an attribute the formula was deduced. The example illustrates that
transforming. The paper provides examples of application of the transformation of membership functions in the
utility function, and vice versa.
Keywords: utility function, membership function, additive and multiplicative convolution.
ACM Classification Keywords: G. Mathematics of Computing, I.2.1 Applications and Expert Systems.
Link:
STUDY RELATIONSHIP BETWEEN UTILITY FUNCTION AND MEMBERSHIP
FUNCTION IN THE PROBLEM OF OBJECT RANKING1
Stanislav V. Mikoni, Marina I. Garina
http://foibg.com/ibs_isc/ibs-27/ibs-27-p08.pdf
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STUDY OF INVESTMENT ATTRACTIVENESS OF RUSSIAN COMPANIES ON THE BASIS OF ...
By: Dmitriy Bogachev
(3829 reads)
Rating:
(1.00/10)
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Abstract: In the paper different well-known market characteristics and indicators of financial accounting (net
income, revenue, revenue growth, etc.) are considered. We propose new characteristics, which could be useful
for company assessment. We also describe a classification technique based on Naive Bayes method to identify
the most attractive companies.
Keywords: classification, Naive Bayes, financial market, stock’s returns.
ACM Classification Keywords: I.2 ARTIFICIAL INTELLIGENCE
Link:
STUDY OF INVESTMENT ATTRACTIVENESS OF RUSSIAN COMPANIES ON THE
BASIS OF THEIR MARKET CHARACTERISTICS AND PERFORMANCE REPORTING
Dmitriy Bogachev
http://foibg.com/ibs_isc/ibs-27/ibs-27-p07.pdf
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TIME SERIES PROGNOSIS OF GDP WITH THE SYSTEM GMDH-SHELL (EXPERIMENTAL WORK)
By: Victor Lebedev
(4346 reads)
Rating:
(1.00/10)
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Abstract: Time series prognosis of economical indexes is one of the main problems of econometrics. In the
paper we study possibility to give an interval prognosis of time series using the set of the best prognostic models.
Speaking ‘model’ we mean a combined model of regression and auto-regression. Speaking ‘the best models’ we
mean the ordered series of models constructed by the well-known Group Method of Data Handling (GMDH). The
proposed simple approach consists in the following: a) one generates the fixed numbers of models on the basis
of experimental data b) these models give correspondent prognoses c) the real value is supposed to belong to
min-max interval the models provide. We shortly describe the software tool GMDH-Shell (GS) that implements
GMDH and the results of experiments with GS. The experimental data are time series of the Gross Domestic
Products (GDP) of 100 countries given on the period 1980-2000.
Keywords: GMDH, GMDH Shell, time series prognosis, gross domestic product
ACM Classification Keywords: I.2 Artificial Intelligence
Link:
TIME SERIES PROGNOSIS OF GDP WITH THE SYSTEM GMDH-SHELL
(EXPERIMENTAL WORK)
Victor Lebedev
http://foibg.com/ibs_isc/ibs-27/ibs-27-p06.pdf
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SMOOTHING AND PROGNOSIS OF MULTI-FACTOR TIME SERIES OF ECONOMICAL DATA ...
By: Alexander Kovaldji, Vladimir Averkiev, Marina Sarkissyan
(3341 reads)
Rating:
(1.00/10)
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Abstract: Smoothing and prognosis belong to the main problems, which we deal with when process various time
series. Unlike the typical approaches related with lineal regression on polynomial and trigonometric functions we
consider local procedures. We describe algorithms that resolve these problems and present results of
experiments using data of the Russian State Statistical Committee. All procedures are realized in the Excel-VBA.
Keywords: econometrics, local regression, time series, seasonality
ACM Classification Keywords: I.2.m Miscellaneous
Link:
SMOOTHING AND PROGNOSIS OF MULTI-FACTOR TIME SERIES OF ECONOMICAL DATA BY MEANS OF LOCAL PROCEDURES
(REGRESSION AND CURVATURE EVALUATION)
Alexander Kovaldji, Vladimir Averkiev, Marina Sarkissyan
http://foibg.com/ibs_isc/ibs-27/ibs-27-p05.pdf
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ESTIMATION OF THE INVESTMENT ATTRACTIVENESS OF COMPANIES USING MULTIPLES ...
By: Evgeniy Ageev
(4303 reads)
Rating:
(1.00/10)
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Abstract: The article is devoted to the issue of using financial multipliers to estimate the value of a company. In
our research we identified the industries that account for more than 50% of Gross Domestic Product. We took the
companies with publicly available information. Then we used multicriteria Muchnik's model to identify promising
companies and receive the required sample. At the final stage, we used a comparative approach for the
evaluation of companies in these industries. The results of experiments showed the essential advantage of the
proposed method. Notably, we marked multiplier, which were most likely gave a more realistic evaluation of
companies. The paper reflects the results of Bachelor research.
Keywords: financial multiples; company valuation; multicriteria Muchnik's model; comparable company
ACM Classification Keywords: I.2.m Miscellaneous
Link:
ESTIMATION OF THE INVESTMENT ATTRACTIVENESS OF COMPANIES USING
MULTIPLES THAT ACCOUNT FOR INDUSTRY SPECIFIC FACTORS
Evgeniy Ageev
http://foibg.com/ibs_isc/ibs-27/ibs-27-p04.pdf
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PROGRAM WORLD-DYN BASED ON FORRESTER MODEL OF WORLD DYNAMICS
By: Olga Proncheva
(3118 reads)
Rating:
(1.00/10)
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Abstract: Forrester model is a system of differential equations reflecting dynamics of 5 macro-economical
variables (population, resources, etc.) . Such a model were developed more then 40 year ago and it proved to be
an effective tool for qualitative analysis of world dynamics. By the moment there is no an accessible end-user
program based on this model and our goal was the development of such a program with a comfortable graphical
interface. In the paper we describe the program World-Dyn?, which allows to set initial data and noise level, to set
moments of parameter changes, to form the necessary visualization of results. We demonstrate the program
functionality both on Forrester’s example and on our example related with crisis.
Keywords: Forrester model, world dynamics, numerical analysis.
Link:
PROGRAM WORLD-DYN BASED ON FORRESTER MODEL OF WORLD DYNAMICS
Olga Proncheva
http://foibg.com/ibs_isc/ibs-27/ibs-27-p03.pdf
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CONSTRUCTING DECISION TREE BASED ON QUESTIONNAIRES TO DETECT A POSSIBLE CORRUPT
By: Dmitry Stefanovskiy, Sergey Maruev, Xavier Tejada
(3441 reads)
Rating:
(1.00/10)
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Abstract: Decision trees are the well-known a popular tool in the areas where non-numerical data are used. In
the paper we demonstrate the application of decision trees for analysis of International logistics. First of all we
cluster data to reduce the number of variants for comparison. Then the regression analysis is completed and the
significant parameters combinations are determined. The logical function and decision tree could be useful for
revealing possible corruption schemes in logistics. Finally we complete experiments with this decision tree. The
suggested method can be used for constructing a decision tree based on a large amount of similar data.
ACM Classification Keywords: 1.2 Artificial Intelligence
Keywords: decision trees, logistics, corruption
Link:
CONSTRUCTING DECISION TREE BASED ON QUESTIONNAIRES TO DETECT A
POSSIBLE CORRUPTION IN LOGISTICS
Dmitry Stefanovskiy, Sergey Maruev, Xavier Tejada
http://foibg.com/ibs_isc/ibs-27/ibs-27-p02.pdf
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ANALYSIS OF THE THROUGHPUT OF THE PROCESS OF DISTANCE LEARNING
By: Sergey Maruev, Evgeniya Gorbunova
(3468 reads)
Rating:
(1.00/10)
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Abstract: We consider queuing systems as models of distance learning system we analyze how characteristics of business process in the system affect on throughput and on learning outcomes. The processes of executing tasks and tasks validation process are the key processes in the distance learning. A model of the process performed by a student is a queuing system with refusals. A model of the process performed by the teacher is a multi-channel queuing system with limited queue. We present a structure of one of the courses of the University, where the authors work to form individual trajectory of learning. for students with different levels of knowledge. Such an approach allow to increase the throughput of distance learning system.
Keywords: distance learning, process modeling, queuing system analysis
ACM Classification Keywords: K.3.1 Computer Uses in Education, Distance Learning
Link:
ANALYSIS OF THE THROUGHPUT OF THE PROCESS OF DISTANCE LEARNING
Sergey Maruev, Evgeniya Gorbunova
http://foibg.com/ibs_isc/ibs-27/ibs-27-p01.pdf
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PRINCIPLES OF THE DEVELOPMENT OF INTERACTIVE QUERY EXPERT SYSTEMS
By: Valentin Kataev
(3104 reads)
Rating:
(1.00/10)
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Abstract: This paper describes the principles for the development of interactive query or question-answer expert systems (ES) in the Multi Studio software environment in Multi (the universal language), as well as in such environments as Visual Prolog and CLIPS. The paper also presents a comparative analysis of those principles checked by solving the test problems to show a significant advantage of Multi in the development of those ES according to the main quality parameters: language usability, work content of ES development, electronic memory size and speed of the developed ES.
As a result of our study we formulate several principles of developing ES tool environments:
Development of a super-high-level universal environment language by integrating the best qualities of all the languages considered in the paper.
Development of a universal structure of a knowledge base with a unitized syntax based on semantic networks.
Development of a hybrid tool environment which can separately perform the following:
A one-time translation (compilation) of program and data input texts into an internal language of a knowledge base
Multiple fetch of programs from a knowledge base (the programs are executed by interpretation of those programs’ instructions in a hybrid environment)
Keywords: expert systems, CLIPS, Multi Studio, Prolog.
ACM Classification Keywords: I.2.5 Programming Language and Software.
Link:
PRINCIPLES OF THE DEVELOPMENT OF INTERACTIVE QUERY EXPERT SYSTEMS
Valentin Kataev
http://www.foibg.com/ibs_isc/ibs-26/ibs-26-p24.pdf
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