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

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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

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

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THERMALS MAP – ASSIST FLIGHT SYSTEM

Arkadiusz Rzucidło

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p12.pdf

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

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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

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

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ARES SYSTEM - INTEGRATION OF ANALYSIS METHODOLOGIES

Roman Podraza, Mariusz Kalinowski

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p06.pdf

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

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THE DEVELOPMENT SUPPORT SYSTEM "ONTOINTEGRATOR" FOR LINGUISTIC APPLICATIONS

Olga Nevzorova, Vladimir Nevzorov

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p11.pdf

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

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

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THEORY OF INFOS

Krassimir Markov, Krassimira Ivanova, Ilia Mitov

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p01.pdf

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

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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

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

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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

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

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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

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

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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

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

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ALGEBRA LOGIC APPROACH TO PERSON’S THINKING MECHANISMS FORMALIZATION

Olga Kalinichenko

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p10.pdf

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

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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

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

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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

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;

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PREDICTION OF STYLUS TIP RADIUS

Sławomir Górka, Paweł Pawlus

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p31.pdf

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

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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

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

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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

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

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NAVIGATION SOFTWARE OF AUTOMATED GUIDED VEHICLE

Magdalena Dobrzańska, Paweł Dobrzański

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p29.pdf

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.

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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

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.

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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

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

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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

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

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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

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

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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

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.

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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

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

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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