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THE ROLE OF MULTI-AGENT APPROACH IN BUILDING INFORMATION ...
By: Elena Serova
(3168 reads)
Rating:
(1.00/10)
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Abstract: Companies applying information, communication technologies and computer simulation modeling tools
are paying more and more attention to the ability to adaptive and hybrid architectures when building and
developing information infrastructure. This paper studies an approach to forming an external information
infrastructure for a company with a developed clientele by joining opportunities of CRM (Customer Relationship
Management Systems) technologies and intelligent agents. Companies can succeed in carrying out their
development strategies by following modern trends, adding intellectual information tools to CRM systems and
creating an adaptive hybrid for external infrastructure based on the multi-agent approach.
Keywords: Modeling, Multi-Agent? systems, Management, Customer Relationship Management systems.
ACM Classification Keywords: K. Computing Milieux - K.6 Management of Computing and Information Systems
– K.6.4 System Management – Centralization/Decentralization
Link:
THE ROLE OF MULTI-AGENT APPROACH IN BUILDING INFORMATION
INFRASTRUCTURE FOR A MODERN COMPANY AND CARRYING OUT
MANAGEMENT TASKS
Elena Serova
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p18.pdf
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THERMALS MAP – ASSIST FLIGHT SYSTEM
By: Arkadiusz Rzucidło
(3348 reads)
Rating:
(1.00/10)
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Abstract: The article presents proposition of the assist pilot system. The system helps pilot with correct decision
of cross country flights. Presentation of specially calculated information stored by the system delivered to pilot
could help him with his decision about correct directions of crossing.
Keywords: Knowlage base, Data mining
ACM Classification Keywords: E. Data, E.5 Files, E.5.6. Sorting/searching
Link:
THERMALS MAP – ASSIST FLIGHT SYSTEM
Arkadiusz Rzucidło
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p12.pdf
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SYNTHESIS OF STRUCTURED MODELS OF COMPUTER SYSTEMS ...
By: Povoroznyuk et al.
(3709 reads)
Rating:
(1.00/10)
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Abstract: Method for structural identification of objects of diagnosis in design of computer systems to support
decision-making in medicine at all stages of information transfer is developed. This takes into account not only
the structural and functional bases, but also the uncertainty of the model parameters.
Keywords: medical diagnostics, computer system, structural identification, the model, decision rule.
ACM Classification Keywords: I.5. Pattern recognition and J.3. Llife and medical sciences
Link:
SYNTHESIS OF STRUCTURED MODELS OF COMPUTER SYSTEMS
IN MEDICAL DIAGNOSIS
Аnatoliy Povoroznyuk, Nataliya Bilous, Olga Kozina
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p27.pdf
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ARES SYSTEM - INTEGRATION OF ANALYSIS METHODOLOGIES
By: Roman Podraza, Mariusz Kalinowski
(4499 reads)
Rating:
(1.00/10)
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Abstract: ARES System is an application dedicated to data analysis, data exploration and knowledge discovery.
This versatile tool offers rough set based methodology as well as emerging patterns and Support Vector Machine
algorithms to be applied to input data presented as an information system. Many analytical capabilities provided
with an user-friendly, intuitive graphical interface and XML based support for input/output operations make ARES
System a challenging and promising software for application in scientific research and didactic work. An unique
feature of ARES System is its ability of identifying improper objects within information system by employing
credibility coefficients. The credibility coefficients attempt to assess a degree of typicality of each object in respect
to the whole information system.
Keywords: information system, classification, rough sets, emerging patterns, SVM, credibility coefficients.
ACM Classification Keywords: H.1.1 Systems and Information Theory
Link:
ARES SYSTEM - INTEGRATION OF ANALYSIS METHODOLOGIES
Roman Podraza, Mariusz Kalinowski
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p06.pdf
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THE DEVELOPMENT SUPPORT SYSTEM "ONTOINTEGRATOR" ...
By: Olga Nevzorova, Vladimir Nevzorov
(3469 reads)
Rating:
(1.00/10)
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Abstract: The article is described architecture and functionality of development support system "OntoIntegrator”
for NLP.
Keywords: Natural language processing, ontological models, program tools for NLP
ACM Classification Keywords: H.3.1.Information storage and retrieval: linguistic processing
Link:
THE DEVELOPMENT SUPPORT SYSTEM "ONTOINTEGRATOR"
FOR LINGUISTIC APPLICATIONS
Olga Nevzorova, Vladimir Nevzorov
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p11.pdf
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THE APPLICATION OF DATA MINING METHODS TO THE CLASSIFICATION OF ...
By: Mazur et al.
(3423 reads)
Rating:
(1.00/10)
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Abstract: In this paper the review of applications of data mining is presented. The algorithm of the induction
across decision trees that was proposed for classifying large set of data is described in the part 2 of the paper. A
short characteristic of the proposed algorithm is included in the part 3. In the part 4 we present characteristics of
R-environment and the implementation of the algorithm. The method of conducting the computational
experiments and the obtained results are presented in the part 5. The last part of the paper contains conclusions
and further perspectives.
Keywords: data mining, classification, critical defects, induction of decision trees formatting rules
ACM Classification Keywords: I. Computing Methodologies, I.2 Artificial Intelligence, J. Computer Applications
J.6 Computer-aided engineering,
‘
Link:
THE APPLICATION OF DATA MINING METHODS TO THE CLASSIFICATION OF
FINISHED PRODUCTS
Monika Piróg-Mazur?, Galina Setlak, Wioletta Szajnar, Tomasz Kożak
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p07.pdf
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THEORY OF INFOS
By: Markov et al.
(3419 reads)
Rating:
(1.00/10)
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Abstract: Theory of Infos is a part of the General Information Theory. Main features of the Theory of Infos are
outlined in the paper. Further investigation is discussed.
Keywords: General Information Theory, Theory of Infos.
ACM Classification Keywords: A.1 Introductory and survey
Link:
THEORY OF INFOS
Krassimir Markov, Krassimira Ivanova, Ilia Mitov
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p01.pdf
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KERNEL-BASED METHODS FOR NON-STATIONARY TIME-SERIES ...
By: Leonid Lyubchyk, Vladyslav Kolbasin
(3266 reads)
Rating:
(1.00/10)
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Abstract: Identification and prediction problem of nonlinear time-series generated by discrete dynamic system is
considered via Kernel Method approach. A unified approach to recurrent kernel identification algorithms design is
proposed. In such a way a recurrent modification of initial Kernel Method with growing windows is considered. In
order to prevent the model complexity increasing under on-line identification, the reduced order model kernel
method is proposed and proper recurrent identification algorithms are designed along with conventional
regularization technique. Such an approach leads to a new type of Recursive Least-Square? Kernel Method
identification algorithms. Finally, the recurrent version of Sliding Window Kernel Method is also developed along
with suitable identification algorithms. The proposed algorithm has tracking properties and may be successfully
used for on-line identification of nonlinear non-stationary time-series.
Keywords: identification, kernel methods, machine learning, nonlinear model, prediction, recurrent least-squares,
support vector machine, time-series
ACM Classification Keywords: G. Mathematics of Computing: G.1 Numerical Analysis: Least squares
approximation, nonlinear approximation, G.3 Probability and Statistics: Time series analysis
Link:
KERNEL-BASED METHODS FOR NON-STATIONARY TIME-SERIES
IDENTIFICATION AND PREDICTION
Leonid Lyubchyk, Vladyslav Kolbasin
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p05.pdf
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IMPLEMENTATION OF DATA WAREHOUSE SAP BW IN THE PRODUCTION ...
By: Maria Kowal, Galina Setlak
(3423 reads)
Rating:
(1.00/10)
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Abstract: in this paper the implementation of Data Warehouse SAP BW in the Production Company is presented.
A data warehouse is designed for efficient query processing. The technical environment and data structures are
optimized for answering business questions. Data warehouse is stored persistently by time over a particular time
period. Users can use comprehensive analysis tools to access data. We will try to answer the question how to
implement the SAP Business Warehouse in a company
Keywords: information system, data warehouse, business intelligence, data mining
ACM Classification Keywords: H. information system
Link:
IMPLEMENTATION OF DATA WAREHOUSE SAP BW IN THE PRODUCTION
COMPANY
Maria Kowal, Galina Setlak
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p24.pdf
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THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS AND EVOLUTIONARY ...
By: Kosikowski et al.
(3847 reads)
Rating:
(1.00/10)
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Abstract: The authors have undertaken a research task with a view to apply of evolutionary algorithms and
artificial neural network to design of the course of a gas nitriding process, which guarantees to obtain the
expected hardness profile in the nitrided layer. The gas nitriding process is widely used in industry in order to
improve the functional properties of machine and tool parts. First of all, the artificial neural network was trained
dependences between physical properties of steel and process parameters in relation to hardness profile, formed
in gas nitriding process. Those data was collected experimentally. Such trained neural network was used as a
mathematical model for the design approach of gas nitriding process. The aim of such designing was to predict
the parameters of nitrinding industrial process, in which the required hardness profile of nitriding layer will be
obtained. Prediction of manufactory conditions was realized with the help of evolutionary algorithms. In the
approach developed, each chromosome includes encoded parameters of a single steel nitriding process. For
each chromosome, a steel hardness profile related to it is determined by the model which is represented by
neural network. On the further step, the chromosomes undergo a selection, a modification with the aid of crossing
mutation operations and promotion to the next population. In this manner, by approach of a directed evolution of
steel nitriding parameters, one is selected for which the hardness profile matches the best to profile sought.
Keywords: evolutionary algorithm, neural network, designing of nitriding process, nitriding layer, hardness profile,
model, manufactory conditions prediction.
ACM Classification Keywords: D.2.2 Design Tools and Techniques - Evolutionary prototyping
Link:
THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS AND EVOLUTIONARY
ALGORITHM FOR THE DESIGNING OF GAS NITRIDING PROCESS
Mateusz Kosikowski, Zbigniew Suszyński, Roman Olik,
Jerzy Ratajski, Tomasz Suszko
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p04.pdf
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APPLICATION OF DISCRETE OPTIMIZATION IN SOLVING A PROBLEM ...
By: Igor Kononenko, Igor Protasov
(4945 reads)
Rating:
(1.00/10)
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Abstract: In this paper we study the problem of multi-item capacitated lot-sizing from the point of commercial
enterprises. We consider profit as the main criteria. This dynamic problem belongs to the class of discrete
optimization and contains boolean variables, algorithmic objective function, where various types of constraints
such as analytical functions, algorithmic and simulation models can be used. We present model and direct search
algorithm that consists of an intelligent iterative search and upper bound set construction, and allows finding
exact solution in reasonable time. We carry out computational investigation and solve a real task with using
developed computational tool to show the efficiency and practical application of the proposed model and
algorithm.
Keywords: direct search; discrete optimization; upper bound; production planning; multi-item capacitated lotsizing;
profit maximization
ACM Classification Keywords: G.1.6 Optimization; J.0 Computer Applications
Link:
APPLICATION OF DISCRETE OPTIMIZATION IN SOLVING A PROBLEM
OF MULTI-ITEM CAPACITATED LOT-SIZING WITH ECONOMIC OBJECTIVES
Igor Kononenko, Igor Protasov
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p23.pdf
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ALGEBRA LOGIC APPROACH TO PERSON’S THINKING MECHANISMS FORMALIZATION
By: Olga Kalinichenko
(10988 reads)
Rating:
(1.00/10)
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Abstract: It is known, that person’s thinking is inaccessible to studying by direct physical and psychological
methods. In this case it is necessary to have indirect ones. Computers do not understand the psychological
description and formalization of thinking mechanisms. Algebra logic analysis of natural language and person’s
thinking plays an important role for development of logic mathematics and its applications in artificial intelligence.
Only axiomatic method works in this situation. On the basis of axioms’ system we can propose an approach that
helps to investigate the structure and properties of objects. The main problem of formal studying of a natural
language is shortage of the mathematical apparatus. The axiomatic description of logic mathematics' objects
requires preliminary realization of constructive logical tools, which subsequently become a subject of the
axiomatic analysis. The paper is devoted the algebra of ideas to axiomatic construction. The carrier of this
algebra is naturally interpreted as the set of intelligence ideas (thoughts, concepts and, in general, any subjective
conditions of the person). There are devised some methods for application of proposed formal apparatus.
Simultaneously with algebra of ideas formal introducing there is considered its intentional interpretation.
Keywords: a predicate, algebra of ideas, artificial intelligence, Cartesian set, algebra of predicates, algebra of
single k-dimentional first order predicates.
ACM Classification Keywords: I.2 Artificial intelligence - Natural Language Processing
Link:
ALGEBRA LOGIC APPROACH TO PERSON’S THINKING MECHANISMS FORMALIZATION
Olga Kalinichenko
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p10.pdf
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AGENT ORIENTATION AS A TOOLBOX FOR ORGANIZATIONAL MODELING
By: Jacek Jakieła, Bartosz Pomianek
(4146 reads)
Rating:
(1.00/10)
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Abstract: The main goal of the paper is to convince that agent orientation may be considered as a powerful
paradigm for organization modeling and the reference architecture for Management Information Systems, that if
properly applied, would lead to firm’s overall performance improvement. The scenario of proving these theses
consists of three steps. Firstly the basic concepts of agency have been defined. Then the agent and multi-agent
system are presented as playing the roles of very natural and intuitive modeling constructs and complexity
management tools. Finally the benefits of agent oriented software application are described from the perspective
of gaining competitive advantage by improving intra- and interorganizational efficiency due to basic
characteristics of agents such as constant monitoring of the environment (where they are situated), reactivity, proactiveness
and social ability.
Keywords: Software Agent, Intelligent Agent, Agent Oriented Approach, Organization Modeling, Multi-agent
System, Complexity Management, Business Performance Improvement, Supply Chain, Demand Chain,
Management Information Management System
ACM Classification Keywords: I. Computing Methodologies; I.2 Artificial IOntelligence I.2.11 Distributed
Artificial Intelligence; Multiagent systems
Link:
AGENT ORIENTATION AS A TOOLBOX FOR ORGANIZATIONAL MODELING
AND PERFORMANCE IMPROVEMENT
Jacek Jakieła, Bartosz Pomianek
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p16.pdf
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OPTIMAL SYNTHESIS OF INTELLIGENT CONTROL SYSTEMS OF ATOMIC POWER ...
By: Seyed Mojtaba Jafari Henjani, Valery Severin
(3857 reads)
Rating:
(1.00/10)
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Abstract: The paper is devoted to the development of a perspective concept of atomic station power block
intelligent automatic control systems synthesis on the basis of mathematical models and numeric methods of
vector optimization of systems quality indexes using genetic algorithms. The methods for calculation of direct
quality indexes and improved integral quadratic estimates have been created. The step-by-step principle of
transition to the domain of system stability has been based. There have also been suggested vector objective
functions including stability conditions and taking into consideration quality indexes priorities. The reliable genetic
algorithms for vector objective functions optimization have been suggested. Mathematical models in the state
space for intelligent automatic control systems of nuclear reactor and steam generator have been worked out.
The quality indexes optimization of power block intelligent control systems has been carried out, which allowed to
estimate various controller types efficiency.
Keywords: automatic systems, intelligent control, optimal synthesis, nuclear reactor, steam generator, genetic
algorithms.
ACM Classification Keywords: G.1.6 Optimization - Nonlinear programming
Link:
OPTIMAL SYNTHESIS OF INTELLIGENT CONTROL SYSTEMS OF ATOMIC POWER
STATION USING GENETIC ALGORITHMS
Seyed Mojtaba Jafari Henjani, Valery Severin
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p14.pdf
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PREDICTION OF STYLUS TIP RADIUS
By: Sławomir Górka, Paweł Pawlus
(3652 reads)
Rating:
(1.00/10)
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Abstract: The existing method of stylus tip radius prediction was analysed. Computer generated and measured
stochastic surfaces were the objects of the investigations. The effects of various sources of errors on tip radius
prediction accuracy were analysed. On-line skid existence doesn’t affect this accuracy, but quantisation errors
caused some problems. The application of low-pass digital filtering in order to eliminate high-frequency noise was
analysed.
Keywords: surface topography; roughness; stylus measurement; tip radius
ACM Classification Keywords: J.2 Physical Sciences And Engineering; G.1.2 Approximation; G.1.3 Numerical
Linear Algebra;
Link:
PREDICTION OF STYLUS TIP RADIUS
Sławomir Górka, Paweł Pawlus
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p31.pdf
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APPLYING THE CONCEPTS OF MULTI-AGENT APPROACH ...
By: Vadim Golembo, Alexey Botchkaryov
(3577 reads)
Rating:
(1.00/10)
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Abstract: The problem of development and application of the multiagent techniques for organizing mobile
exploring agents' cooperative behavior is examined. The main problems related to design and operating of
distributed decentralized homogeneous multi-agent systems with restricted local interaction between agents are
analyzed. A number of collective behavior models (algorithmic, interpolational, entropic), which discover the
problems of distributed decentralized exploration are proposed.
Keywords: multi-agent systems, distributed autonomous explorations, self-organization.
ACM Classification Keywords: I.2.11 Distributed Artificial Intelligence
Link:
APPLYING THE CONCEPTS OF MULTI-AGENT APPROACH
TO THE DISTRIBUTED AUTONOMOUS EXPLORATIONS
Vadim Golembo, Alexey Botchkaryov
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p19.pdf
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OPTIMAL DESIGN OF INTELLIGENT CONTROL SYSTEMS OF STEAM TURBINE ...
By: Fedyanyna et al.
(3906 reads)
Rating:
(1.00/10)
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Abstract: One of the basic engineering problems of the automatic control systems synthesis for steam turbines is
systems quality indices optimization task. The features of such task are defined by plenty of control systems
structural parameters, complication of quality indices formalization and calculation, the systems models high
order. The greatest difficulty of the control system synthesis is optimization models and methods design. The
paper purpose is to develop models and methods for optimum design of the intelligent automatic control systems
of atomic power station steam turbine using genetic algorithms. The steam turbine automatic control system is
applied to stabilize turbine rotor frequency with high precision. The intelligent steam turbine control system
includes a steam turbine, frequency sensor, intelligent frequency regulator, electro-hydraulic automatic drive and
turbine adjusting valve. Input signals on an automatic drive can be given by the steam pressure regulator through
the turbine management mechanism or by the electric power regulator. Assumptions substantiated to model the
automatic control system and automatic drive as executive link of control system. The automatic drive diagram of
principle includes electro-hydraulic transformer, sleeve valve, servomotor, position sensors and electronic part. In
the paper were built the mathematical models of automatic drive and steam turbine, the models permanent
parameters values were calculated, the mathematical models of the automatic control system were developed in
state space with the intelligent frequency regulator, the regulator parameters were optimized with system quality
indices using genetic algorithms.
Keywords: automatic control system, automatic drive, steam turbine, intelligent regulator, genetic algorithms.
ACM Classification Keywords: G.1.6 Optimization - Nonlinear programming
Link:
OPTIMAL DESIGN OF INTELLIGENT CONTROL SYSTEMS OF STEAM TURBINE
USING GENETIC ALGORITHMS
Khrystyna Fedyanyna, Ievgeniia Kucher, Valery Severin
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p15.pdf
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NAVIGATION SOFTWARE OF AUTOMATED GUIDED VEHICLE
By: Magdalena Dobrzańska, Paweł Dobrzański
(3433 reads)
Rating:
(1.00/10)
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Abstract: In the article it has been presented the structure of the control system and measurement data
processing of an automated guided vehicle. The basic navigation technique – odometry, which is applied in the
automated guided vehicle, has been described, as well as connected with it errors of position tracing. Next the
navigation software was shown which enables to design the trajectory of the vehicle movement as well as the
registration and reading of the measurement data from the measurement sensors.
Keywords :Automated Guided Vehicle, navigation, odometry, odometry errors, Visual C++
ACM Classification Keywords: I.2.9 Robotics: Autonomous vehicles, Sensors, J.7 Computers in other systems
Link:
NAVIGATION SOFTWARE OF AUTOMATED GUIDED VEHICLE
Magdalena Dobrzańska, Paweł Dobrzański
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p29.pdf
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THE CASCADE GROWING NEURAL NETWORK USING QUADRATIC NEURONS ...
By: Bodyanskiy et al.
(3984 reads)
Rating:
(1.00/10)
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Abstract: New non-conventional system of the computational intelligence is proposed. It has growing structure
similar to the Cascade-Correlation? Learning Architecture designed by S. E. Fahlman and C. Lebiere but differs
from it in type of artificial neurons. Quadratic neurons are used as nodes in introduced architecture. These simple
elements can be quickly adjusted using high-speed learning procedures. Proposed approach allows to reduce
time required for weight coefficients adjustment and to decrease training dataset size in comparison with
conventional neural networks. Also on-board realization of quadratic neuron is quite simple and therefore
implementation of entire cascade architecture in hardware is very easy.
Keywords: artificial neural networks, constructive approach, quadratic neuron, real-time processing, online
learning.
ACM Classification Keywords: I.2.6 Learning – Connectionism and neural nets.
Link:
THE CASCADE GROWING NEURAL NETWORK USING QUADRATIC NEURONS
AND ITS LEARNING ALGORITHMS FOR ON-LINE INFORMATION PROCESSING
Yevgeniy Bodyanskiy, Yevgen Viktorov, Iryna Pliss
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p03.pdf
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ADAPTIVE GUSTAFSON-KESSEL FUZZY CLUSTERING ALGORITHM BASED ON ...
By: Bodyanskiy et al.
(7243 reads)
Rating:
(1.00/10)
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Abstract: The Gustafson-Kessel? fuzzy clustering algorithm is capable of detecting hyperellipsoidal clusters of
different sizes and orientations by adjusting the covariance matrix of data, thus overcoming the drawbacks of
conventional fuzzy c-means algorithm. In this paper, an adaptive version of the Gustafson-Kessel? algorithm is
proposed. The way to adjust the covariance matrix iteratively is introduced by applying the Sherman-Morrison?
matrix inversion procedure. The adaptive fuzzy clustering algorithm is implemented on the base of self-learning
spiking neural network known as a realistic analog of biological neural systems that can perform fast data
processing. Therefore, the proposed fuzzy spiking neural network that belongs to a new type of hybrid intelligent
systems makes it possible both to perform fuzzy clustering tasks efficiently and to reduce data processing time
considerably.
Keywords: computational intelligence, hybrid intelligent system, fuzzy clustering, adaptive Gustafson-Kessel?
algorithm, self-learning spiking neural network, spiking neuron center, the temporal Hebbian learning.
ACM Classification Keywords: I.2.6 Artificial Intelligence: Learning – Connectionism and neural nets;
I.5.1 Pattern Recognition: Models – Fuzzy set, Neural nets; I.5.3 Pattern Recognition: Clustering – Algorithms.
Link:
ADAPTIVE GUSTAFSON-KESSEL FUZZY CLUSTERING ALGORITHM BASED ON
SELF-LEARNING SPIKING NEURAL NETWORK
Yevgeniy Bodyanskiy, Artem Dolotov, Iryna Pliss
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p02.pdf
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ORGANISATION OF DISABLED PERSONS’ TELEWORK AS PART OF PROCESS OF KNOWLEDGE ...
By: Tatjana Bilevičienė, Eglė Bilevičiūtė
(3504 reads)
Rating:
(1.00/10)
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Abstract: Challenges of knowledge society, knowledge economics change models of management. Work trends,
organisational structures are changing. Most of knowledge management processes one way or another are
connected with main elements of information management: information technologies and information systems.
Knowledge management is new branch of management, the main purpose of that is bigger effectiveness of
business applying synergy of humans, processes and technologies. Knowledge management helps for
employees single-mindedly to create, share, collect, keep and practice the knowledge. Fundamentals of
knowledge management could be used for organisation of telework of disabled persons, solving economical
problems of state. Knowledge management could help to increase productiveness of employees, expanding
sources of reachable for them knowledge. Improving shapes of disabled persons’ education the very important is
to pay attention at how educational knowledge is implemented practically. Knowledge management should
encourage employees to integrate such educational processes together with their work methods and to apply
results of educational processes in their daily activities. For purposeful and beneficial education there should be
forecasted what knowledge is the most important. Authors of article analyses the application of knowledge
management methods in structure of professional rehabilitation of disabled persons, organising telework of
disabled persons. During such process new knowledge should be used not only by disabled persons, but both
represents of governmental institutions and consultants.
Keywords: knowledge society, disabled persons, telework.
ACM Classification Keywords: K.4.3. Computers and society - Computer-supported collaborative work
Link:
ORGANISATION OF DISABLED PERSONS’ TELEWORK AS PART OF PROCESS OF KNOWLEDGE MANAGEMENT
Tatjana Bilevičienė, Eglė Bilevičiūtė
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p09.pdf
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INDIRECT SPATIAL DATA EXTRACTION FROM WEB DOCUMENTS
By: Blagoev et al.
(3550 reads)
Rating:
(1.00/10)
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Abstract: An approach for indirect spatial data extraction by learning restricted finite state automata from web
documents created using Bulgarian language are outlined in the paper. It uses heuristics to generalize initial
finite-state automata that recognizes only the positive examples and nothing else into automata that recognizes
as larger language as possible without extracting any non-positive examples from the training data set.
The learning method, program realization and experiments are presented. The investigation is carried out in
accordance and following the rules of EU INSPIRE Network.
Keywords: Automatic Data Extraction, Restricted Finite State Automata, Web Documents, Indirect Spatial Data,
INSPIRE network.
ACM Classification Keywords: H.2.8 Database Applications - Data mining; F.1.1 Models of Computation –
Finite State Automata
Link:
INDIRECT SPATIAL DATA EXTRACTION FROM WEB DOCUMENTS
Dimitar Blagoev, George Totkov, Milena Staneva,
Krassimira Ivanova, Krassimir Markov, Peter Stanchev
http://www.foibg.com/ibs_isc/ibs-14/ibs-14-p11.pdf
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SIMULATION OF DNA CUTTING
By: Cisneros et al.
(3773 reads)
Rating:
(1.00/10)
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Abstract: The simulation of the main molecular operations used in DNA Computing can lead the researchers to
develop complex algorithms and methods without the need of working with real DNA strands in-vitro. The
purpose of this paper is to present a computer program which simulates a cutting process over DNA molecules
which is an essential operation for the DNA computation. This simulation represents a useful tool for a virtual
laboratory which is oriented to DNA computations. The results given by the software can show the behavior of a
DNA cutting under certain set of restrictive enzymes to carry out the operation in-vitro efficiently.
Keywords: DNA Computing, DNA Simulation, Software Simulation, DNA operations, Bioinformatics.
ACM Classification Keywords: I.6. Simulation and Modelling, B.7.1 Advanced Technologies, J.3 Biology and
Genetics
Link:
SIMULATION OF DNA CUTTING
Francisco José Cisneros, Andrés de la Peña, Cristina Piqueras,
Paula Cordero, Juan Castellanos
http://www.foibg.com/ibs_isc/ibs-14/ibs-14-p01.pdf
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MODELING LANGUAGE OF MULTI-AGENT SYSTEMS = PROGRAMMING TEMPLATE
By: Rubén Álvarez-González, Miguel Angel Díaz Martínez
(4466 reads)
Rating:
(1.00/10)
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Abstract: The modeling languages are designed to make easier the software development. That is why so many
times they are included in the development methodology. In 2001 the OMG proposed model driver architecture
for the software development (MDA). In this architecture are transformations which are used between the models
to get others. The goal is to show a new way to develop applications using the Agents Oriented paradigm. To do
it the MDA is showed and the methodology agent’s models are studied. There is no methodology which uses the
transformations between the models, so the meta-models group and the transformations between them should be
researched.
Keywords: MDA, OMG, Modeling Languages, Meta-Models?, Models, MAS, Agents, MDD, MDE.
ACM Classification Keywords: C.2.4 Distributed Systems - Distributed applications, D.2.11 Software
Architectures – Languages.
Link:
MODELING LANGUAGE OF MULTI-AGENT SYSTEMS = PROGRAMMING TEMPLATE
Rubén Álvarez-González, Miguel Angel Díaz Martínez
http://www.foibg.com/ibs_isc/ibs-14/ibs-14-p03.pdf
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PERFORMANCE ANALYSIS OF CALL ADMISSION CONTROL FOR STREAMING ...
By: Kassev et al.
(4078 reads)
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Abstract: Admission control is a key issue for quality of service (QoS) provisioning in both wired and wireless
communication networks. The call admission control (CAC) algorithm needs to know the source traffic
characteristics and the required performance in order to determine whether the connection can be accepted or
not and , if accepted, the amount of network resources to allocate. In this paper, we determine the CAC threshold
value in case streaming homogeneous ON-OFF traffic flow is considered. An analytical method for packet loss
probability evaluation is proposed and numerical examples are presented.
Keywords: streaming traffic, ON-OFF traffic model, call admission control, packet loss probability
ACM Classification Keywords: C.2.1 Network architecture and Design – Wireless communication, C.2.5 Local
and Wide-Area? Networks – Access schemes
Link:
PERFORMANCE ANALYSIS OF CALL ADMISSION CONTROL FOR STREAMING
TRAFFIC WITH ACTIVITY DETECTION FUNCTION
Kiril Kassev, Yakim Mihov, Boris Tsankov
http://www.foibg.com/ibs_isc/ibs-14/ibs-14-p06.pdf
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