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OPTIMAL DESIGN OF INTELLIGENT CONTROL SYSTEMS OF STEAM TURBINE USING GENETIC ...
By: Fedyanyna et al.
(3960 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://foibg.com/ibs_isc/ibs-13/ibs-13-p15.pdf
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OPTIMAL SYNTHESIS OF INTELLIGENT CONTROL SYSTEMS OF ATOMIC POWER STATION USING G
By: Seyed Mojtaba Jafari Henjani, Valery Severin
(3472 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://foibg.com/ibs_isc/ibs-13/ibs-13-p14.pdf
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APPLICATION OF GENETIC ALGORITHMS TO VECTOR OPTIMIZATION OF THE AUTOMATIC CONTRO
By: Valery Severin
(3529 reads)
Rating:
(1.00/10)
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Abstract: Methods for calculation of quality indexes for automatic control systems are presented. For the
optimization of quality indexes defined only in a stability domain a vector objective function of varied parameters
of the system is proposed. The stepwise principle of successive satisfaction of constraints for the passage into
the definition domain of quality indexes is considered, as well as a rational mechanism of its realization in the
form of the priority optimization of the vector objective function. For the optimization of the vector objective
functions genetic algorithms as vector optimization methods are presented. Their application allows one to steer
the optimization process from any initial point of the space of varied parameters into the stability domain of the
system and to find the optimum of the quality indexes in this domain. The efficiency of the proposed application of
vector genetic algorithms for the quality indexes optimization is confirmed by computational experiments.
Keywords: genetic algorithms, vector optimization methods, automatic control systems, quality indexes.
ACM Classification Keywords: G.1.6 Optimization - Nonlinear programming
Link:
APPLICATION OF GENETIC ALGORITHMS TO VECTOR OPTIMIZATION
OF THE AUTOMATIC CONTROL SYSTEMS
Valery Severin
http://foibg.com/ibs_isc/ibs-13/ibs-13-p13.pdf
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THERMALS MAP – ASSIST FLIGHT SYSTEM
By: Arkadiusz Rzucidło
(3078 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://foibg.com/ibs_isc/ibs-13/ibs-13-p12.pdf
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THE DEVELOPMENT SUPPORT SYSTEM "ONTOINTEGRATOR" FOR LINGUISTIC APPLICATIONS
By: Olga Nevzorova, Vladimir Nevzorov
(3513 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://foibg.com/ibs_isc/ibs-13/ibs-13-p11.pdf
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ALGEBRA LOGIC APPROACH TO PERSON’S THINKING MECHANISMS FORMALIZATION
By: Olga Kalinichenko
(3952 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
ALGEBRA LOGIC APPROACH TO PERSON’S THINKING MECHANISMS
FORMALIZATION
Olga Kalinichenko
http://foibg.com/ibs_isc/ibs-13/ibs-13-p10.pdf
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ORGANISATION OF DISABLED PERSONS’ TELEWORK AS PART OF PROCESS OF KNOWLEDGE ...
By: Tatjana Bilevičienė, Eglė Bilevičiūtė
(3206 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://foibg.com/ibs_isc/ibs-13/ibs-13-p09.pdf
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A NEURAL NETWORKS APPLICATION IN DECISION SUPPORT SYSTEM
By: Setlak et al.
(3416 reads)
Rating:
(1.00/10)
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Abstract: This work presents the using of the chosen neural networks for the data classification. The Statistic
Neural Networks has been used for the rating. The neural networks have been successfully applied for building
one decision support systems for solving managerial problem.
Keywords: artificial intelligence, neural networks, classification, decision support
ACM Classification Keywords: I. Computing Methodologies, I.2 Artificial Intelligence
Link:
A NEURAL NETWORKS APPLICATION IN DECISION SUPPORT SYSTEM
Galina Setlak, Wioletta Szajnar, Leszek Kobyliński
http://foibg.com/ibs_isc/ibs-13/ibs-13-p08.pdf
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THE APPLICATION OF DATA MINING METHODS TO THE CLASSIFICATION OF FINISHED ...
By: Piróg-Mazur et al.
(3997 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://foibg.com/ibs_isc/ibs-13/ibs-13-p07.pdf
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ARES SYSTEM - INTEGRATION OF ANALYSIS METHODOLOGIES
By: Roman Podraza, Mariusz Kalinowski
(4542 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://foibg.com/ibs_isc/ibs-13/ibs-13-p06.pdf
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KERNEL-BASED METHODS FOR NON-STATIONARY TIME-SERIES IDENTIFICATION AND ...
By: Leonid Lyubchyk, Vladyslav Kolbasin
(3171 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://foibg.com/ibs_isc/ibs-13/ibs-13-p05.pdf
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THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS AND EVOLUTIONARY ALGORITHM FOR ...
By: Kosikowski et al.
(3509 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://foibg.com/ibs_isc/ibs-13/ibs-13-p04.pdf
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THE CASCADE GROWING NEURAL NETWORK USING QUADRATIC NEURONS AND ITS LEARNING ...
By: Bodyanskiy et al.
(3802 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://foibg.com/ibs_isc/ibs-13/ibs-13-p03.pdf
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THEORY OF INFOS
By: Markov et al.
(3313 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://foibg.com/ibs_isc/ibs-13/ibs-13-p01.pdf
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AUTOMATIC METADATA GENERATION FOR SPECIFICATION OF E-DOCUMENTS – THE METASPEED
By: Peneva et al.
(2993 reads)
Rating:
(1.00/10)
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Abstract: A Bulgarian research project funded by the Bulgarian National Science Fund under the thematic priority
Information and Communication Technologies, contract D002-308/19.12.2008 is presented in this article.
The main goal and tasks are outlined. Some already achieved results are pointed.
Link:
AUTOMATIC METADATA GENERATION FOR SPECIFICATION OF E-DOCUMENTS –
THE METASPEED PROJECT
Juliana Peneva, George Totkov, Peter Stanchev, Elena Shoikova
http://foibg.com/ibs_isc/ibs-14/ibs-14-p14.pdf
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EULERPATHSOLVER: A NEW APPLICATION FOR FLEURY’S ALGORITHM SIMULATION
By: Sánchez–Torrubia et al.
(4262 reads)
Rating:
(1.00/10)
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Abstract: EulerPathSolver? is a new application, that meets eMathTeacher specifications and simulates Fleury’s
algorithm execution. The application runs in a Java Web Start Window and features an animation of the algorithm
code, a framework working panel showing the algorithm structures and allowing their manipulation, Pop-up
questions, language selector and, save/load options together with the interactive simulation within automatic
correction of the user’s inputs. It has been designed with the main purpose of supporting active learning as well
as being a good aid for teachers when explaining the algorithm process. EulerPathSolver? enhances dramatically
the old Fleury’s Algorithm tutorial designed by the authors and will be a great partner when learning Fleury’s
Algorithm.
Keywords: eMathTeacher, eLearning, active learning, interactive Java applications, discrete mathematics
learning, algorithm visualization.
ACM Classification Keywords: K.3.1 Computers and Education: Computer Uses in Education – computerassisted
instruction (CAI), distance learning. K.3.2 Computers and Education: Computer and Information
Science Education – computer science education, self-assessment. G.2.2 Discrete Mathematics: Graph Theory
– graph algorithms, path and circuit problems.
Link:
EULERPATHSOLVER: A NEW APPLICATION
FOR FLEURY’S ALGORITHM SIMULATION
Gloria Sánchez–Torrubia?, Carmen Torres–Blanc?, Leila Navascués-Galante?
http://foibg.com/ibs_isc/ibs-14/ibs-14-p13.pdf
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ADAPTATION FOR ASSIMILATION: THE ROLE OF ADAPTABLE M-LEARNING SERVICES IN THE...
By: Meere et al.
(2896 reads)
Rating:
(1.00/10)
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Abstract: This paper presents an adaptable InfoStation-based? multi-agent system facilitating the mobile
eLearning (mLearning) services provision within a University Campus. The network architecture is presented, and
the interactions between the various components within the architecture during mLearning service provision
(mLecture, mTest) are presented. System implementation approaches are also considered, with particular
attention paid to the creation of user profiles and service profiles for the personalization and contextualization of
the presented services.
Keywords: InfoStations?, Intelligent Agents, Multi-agent System, mLearning, CC/PP-UAProf, OWL-S.
Link:
ADAPTATION FOR ASSIMILATION: THE ROLE OF ADAPTABLE M-LEARNING
SERVICES IN THE MODERN EDUCATIONAL PARADIGM
Damien Meere, Ivan Ganchev, Stanimir Stojanov, Máirtín O’Dróma?
http://foibg.com/ibs_isc/ibs-14/ibs-14-p12.pdf
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INDIRECT SPATIAL DATA EXTRACTION FROM WEB DOCUMENTS
By: Blagoev et al.
(3602 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
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PROGNOSTICATION OF EFFICIENCY OF MEDICAL AND PROPHYLACTIC MEASURES AT ...
By: Samura et al.
(3370 reads)
Rating:
(1.00/10)
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Abstract: This article is devoted to the questions of prognostication of efficiency medical and prophylactic
measures at renewal of the broken equilibrium of human organism by vegetable medications. The methods of
modeling of different processes are considered in the article from position of systems analysis. There was chosen
Markov processes theory for description of renewal of the broken homoeostasis process, which rotined high
correlation between clinical supervisions and forecast process.
Keywords: casual process, Markov chains, medical and prophylactic measures, MAIS, MFPS.
ACM Classification Keywords: I.6 Simulation and modeling, I.6.3 Applications; J.3 Life and medical sciences –
Medical information systems
PROGNOSTICATION OF EFFICIENCY OF MEDICAL AND PROPHYLACTIC
MEASURES AT DIFFERENT HOMOEOSTASIS VIOLATION OF HUMAN ORGANISM
BY MARKOV PROCESSES THEORY
Boris Samura, Anatoly Povoroznuk, Olga Kozina, Elena Visotskaja,
Elena Chernykh, Nikolay Shukin, Andrei Porvan
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MULTI-MODAL EMOTION RECOGNITION – MORE "COGNITIVE" MACHINES
By: Slavova et al.
(5606 reads)
Rating:
(1.00/10)
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Abstract: Based on several results related to studies on emotions, we suggest that the process of emotionrecognition
is assisted by some internal structure of the cognitive images of emotions, which are at different levels
of knowledge representation. We concede that the main proposed in psychology models are in correspondence
with these levels and in this sense - complementary. We summarize the state-of-the-art of machine emotion
recognition with regards of the used psychological models of emotions. In order to discover amelioration sources
of multimodal machine emotion recognition, we propose a scheme of the cognitive process, based on gradual
levels of representation. The proposed scheme shows several "strategic" differences with the architectures used
in machine emotion recognition. We discuss the questions related to recognition, assisted by two levels of
representation that we called "perceptual" and "conceptual".
ACM Classification Keywords: I.2 Artificial Intelligence, 1.2.0.Cognitive simulation
Link:
MULTI-MODAL EMOTION RECOGNITION – MORE "COGNITIVE" MACHINES
Velina Slavova, Hichem Sahli, Werner Verhelst
http://foibg.com/ibs_isc/ibs-14/ibs-14-p09.pdf
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DIGITAL OBJECTS – STORAGE, DELIVERY AND REUSE
By: Peneva et al.
(5411 reads)
Rating:
(1.00/10)
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Abstract: The development of a methodology and tools for an automatic extraction of metadata for digital objects
deployed in various subject repositories is a potential research issue. This paper presents a general overview of
topics concerning the building of repositories and the applied metadata schemas with respect to the objectives of
METASPEED project. The main goal of this project is to investigate and create technologies, methods and tools
for automatic generation of metadata thus facilitating the proper specification of documents with different eformat,
content and location.
Key words: Digital object repository, metadata schema
Link:
DIGITAL OBJECTS – STORAGE, DELIVERY AND REUSE
Juliana Peneva, Stanislav Ivanov, Filip Andonov, Nikolay Dokev
http://foibg.com/ibs_isc/ibs-14/ibs-14-p08.pdf
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ANALYSIS OF MALICIOUS ATTACKS ACCOMPLISHED IN REAL AND VIRTUAL ENVIRONMENT
By: Dimitrina Polimirova, Eugene Nickolov
(4132 reads)
Rating:
(1.00/10)
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Abstract: In this paper an analysis of possibilities offered by virtual environments for accomplishing attacks to
and within it, is made. Main techniques for accomplishing an attack to virtual environment are pointed and real
virtual attacks and successful virtual attacks are examined. An analysis of accomplished attacks is made and
percent distribution of real virtual attacks and successful virtual attack is graphically illustrated. Respective
assessments and recommendations for future investigation are made.
Keywords: Virtual Machine Environment, Virtual Environment, Attack/Attack tools, Defense/Defense tools,
Malicious Code
ACM Classification Keywords: D.4.6 Security and Protection: Invasive software (e.g., viruses, worms, Trojan
horses)
Link:
ANALYSIS OF MALICIOUS ATTACKS
ACCOMPLISHED IN REAL AND VIRTUAL ENVIRONMENT
Dimitrina Polimirova, Eugene Nickolov
http://foibg.com/ibs_isc/ibs-14/ibs-14-p07.pdf
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PERFORMANCE ANALYSIS OF CALL ADMISSION CONTROL FOR STREAMING TRAFFIC WITH ...
By: Kassev et al.
(4194 reads)
Rating:
(1.00/10)
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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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MULTILANGUAGE OPERA SUBTITLING EXCHANGE BETWEEN PRODUCTION AND BROADCASTER COMPA
By: Jesús Martínez Barbero, Manuel Bollaín Pérez
(3948 reads)
Rating:
(1.00/10)
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Abstract: Subtitling is used extensively by broadcasters both for foreign-language subtitling and as an access
service to help people with a disability access television programs. The European Broadcaster Union (EBU) has
create a working group in 2009-01-21 for use the standard Distribution Format Exchange Profile 1 (DFXP) for
exchange subtitling information in XML with the Material Exchange Format 2 (MXF) file format. At this moment,
in order to help the deaf people, broadcaster produces textual data in a file with a time-code referred of the
picture. Subtitle live events require speech recognition or special keyboards where the words are presented as a
union of several keys pressed. In this paper, we present an initiative based in B2B standards for the exchange,
production, and broadcast multilingual subtitle for live Opera production.
Keywords: MPEG2, Multimedia, DTV, Subtitling, Broadcasting.
Link:
MULTILANGUAGE OPERA SUBTITLING EXCHANGE BETWEEN PRODUCTION AND
BROADCASTER COMPANIES
Jesús Martínez Barbero, Manuel Bollaín Pérez
http://www.foibg.com/ibs_isc/ibs-14/ibs-14-p05.pdf
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COMPARISON OF DISCRETIZATION METHODS FOR PREPROCESSING DATA FOR PYRAMIDAL ...
By: Mitov et al.
(3460 reads)
Rating:
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Abstract: This paper presents a comparison of four representative discretization methods from different classes
to be used with so called PGN-classifier which deals with categorical data. We examine which of them supplies
more convenient discretization for PGN Classification Method. The experiments are provided on the base of UCI
repository data sets. The comparison tests were provided using an experimental classification machine learning
system "PaGaNe", which realizes Pyramidal Growing Network (PGN) Classification Algorithm. It is found that in
general, PGN-classifier trained on data preprocessed by Chi-merge achieve lower classification error than those
trained on data preprocessed by the other discretization methods. The comparison of PGN-classifier, trained with
Chi-merge-discretizator with other classifiers (realized in WEKA system) shows good results in favor of PGNclassifier.
Keywords: Data Mining, Machine Learning, Discretization, Data Analysis, Pyramidal Growing Networks
Link:
COMPARISON OF DISCRETIZATION METHODS FOR PREPROCESSING DATA
FOR PYRAMIDAL GROWING NETWORK CLASSIFICATION METHOD
Ilia Mitov, Krassimira Ivanova, Krassimir Markov,
Vitalii Velychko, Peter Stanchev, Koen Vanhoof
http://www.foibg.com/ibs_isc/ibs-14/ibs-14-p04.pdf
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