DSpace Collection: Volume 12 Number 3
http://hdl.handle.net/10525/718
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Adaptive Routing and Multi-Agent Control for Information Flows in IP-Networks
http://hdl.handle.net/10525/816
Title: Adaptive Routing and Multi-Agent Control for Information Flows in IP-Networks<br/><br/>Authors: Timofeev, Adil<br/><br/>Abstract: The principles of adaptive routing and multi-agent control for information flows in IP-networks.Educational Model of Computer as a Base for Informatics Learning
http://hdl.handle.net/10525/815
Title: Educational Model of Computer as a Base for Informatics Learning<br/><br/>Authors: Eremin, Evgeny<br/><br/>Abstract: It is proposed to use one common model of computer for teaching different parts of the informaticscourse, connected with both hardware and software subjects. Reasoning of such slant is presented; the mostsuitable themes of the course, where it is practical, are enumerated. The own author's development (includingsoftware support) – the educational model of virtual computer "E97" and compiler from Pascal language for it –are described. It is accented, that the discussed ideas are helpful for any other similar model.Programming Paradigms in Computer Science Education
http://hdl.handle.net/10525/814
Title: Programming Paradigms in Computer Science Education<br/><br/>Authors: Bolshakova, Elena<br/><br/>Abstract: Main styles, or paradigms of programming – imperative, functional, logic, and object-oriented – areshortly described and compared, and corresponding programming techniques are outlined. Programminglanguages are classified in accordance with the main style and techniques supported. It is argued that profoundeducation in computer science should include learning base programming techniques of all main programmingparadigms.Formal Definition of Artificial Intelligence
http://hdl.handle.net/10525/813
Title: Formal Definition of Artificial Intelligence<br/><br/>Authors: Dobrev, Dimiter<br/><br/>Abstract: A definition of Artificial Intelligence (AI) was proposed in [1] but this definition was not absolutely formalat least because the word "Human" was used. In this paper we will formalize the definition from [1]. The biggestproblem in this definition was that the level of intelligence of AI is compared to the intelligence of a human being.In order to change this we will introduce some parameters to which AI will depend. One of this parameters will bethe level of intelligence and we will define one AI to each level of intelligence. We assume that for some level ofintelligence the respective AI will be more intelligent than a human being. Nevertheless, we cannot say which isthis level because we cannot calculate its exact value.<br/><br/>Description: * This publication is partially supported by the KT-DigiCult-Bg project.Services for Satellite Data Processing
http://hdl.handle.net/10525/812
Title: Services for Satellite Data Processing<br/><br/>Authors: Shelestov, Andriy; Kravchenko, Oleksiy; Korbakov, Michael<br/><br/>Abstract: Data processing services for Meteosat geostationary satellite are presented. Implemented servicescorrespond to the different levels of remote-sensing data processing, including noise reduction at preprocessinglevel, cloud mask extraction at low-level and fractal dimension estimation at high-level. Cloud mask obtained as aresult of Markovian segmentation of infrared data. To overcome high computation complexity of Markoviansegmentation parallel algorithm is developed. Fractal dimension of Meteosat data estimated using fractionalBrownian motion models.A Mathematical Apparatus for Ontology Simulation. Specialized Extensions of the Extendable Language of Applied Logic
http://hdl.handle.net/10525/811
Title: A Mathematical Apparatus for Ontology Simulation. Specialized Extensions of the Extendable Language of Applied Logic<br/><br/>Authors: Kleshchev, Alexander; Artemjeva, Irene<br/><br/>Abstract: A mathematical apparatus for domain ontology simulation is described in the series of articles. Thisarticle is the second one of the series. It describes a few specialized extensions of the extendable languages ofapplied logic that was described in the first article of the series. A few examples of some ideas related to domainontologies and formalization of these ideas using the language are presented.<br/><br/>Description: * This paper was made according to the program of fundamental scientific research of the Presidium of the Russian Academy of Sciences «Mathematical simulation and intellectual systems», the project "Theoretical foundation of the intellectual systems based on ontologies for intellectual support of scientific researches".Analysis and Optimization of Synthetic Aperture Ultrasound Imaging Using the Effective Aperture Approach
http://hdl.handle.net/10525/810
Title: Analysis and Optimization of Synthetic Aperture Ultrasound Imaging Using the Effective Aperture Approach<br/><br/>Authors: Nikolov, Milen; Behar, Vera<br/><br/>Abstract: An effective aperture approach is used as a tool for analysis and parameter optimization of mostlyknown ultrasound imaging systems - phased array systems, compounding systems and synthetic apertureimaging systems. Both characteristics of an imaging system, the effective aperture function and thecorresponding two-way radiation pattern, provide information about two of the most important parameters ofimages produced by an ultrasound system - lateral resolution and contrast. Therefore, in the design, optimizationof the effective aperture function leads to optimal choice of such parameters of an imaging systems that influenceon lateral resolution and contrast of images produced by this imaging system. It is shown that the effectiveaperture approach can be used for optimization of a sparse synthetic transmit aperture (STA) imaging system. Anew two-stage algorithm is proposed for optimization of both the positions of the transmitted elements and theweights of the receive elements. The proposed system employs a 64-element array with only four active elementsused during transmit. The numerical results show that Hamming apodization gives the best compromise betweenthe contrast of images and the lateral resolution.Signal Processing under Active Monitoring
http://hdl.handle.net/10525/809
Title: Signal Processing under Active Monitoring<br/><br/>Authors: Mostovyi, Oleksii<br/><br/>Abstract: This paper describes a method of signal preprocessing under active monitoring. Suppose we want tosolve the inverse problem of getting the response of a medium to one powerful signal, which is equivalent toobtaining the transmission function of the medium, but do not have an opportunity to conduct such an experiment(it might be too expensive or harmful for the environment). Practically the problem can be reduced to obtainingthe transmission function of the medium. In this case we can conduct a series of experiments of relatively lowpower and superpose the response signals. However, this method is conjugated with considerable loss ofinformation (especially in the high frequency domain) due to fluctuations of the phase, the frequency and thestarting time of each individual experiment. The preprocessing technique presented in this paper allows us tosubstantially restore the response of the medium and consequently to find a better estimate for the transmissionfunction. This technique is based on expanding the initial signal into the system of orthogonal functions.Synthesis Methods of Multiple-valued Structures of Language Systems
http://hdl.handle.net/10525/808
Title: Synthesis Methods of Multiple-valued Structures of Language Systems<br/><br/>Authors: Bondarenko, Mikhail; Chetverikov, Grigorij; Karpukhin, Alexandr; Roshka, Svetlana; Deyneko, Zhanna<br/><br/>Abstract: The basic construction concepts of many-valued intellectual systems, which are adequate to primalproblems of person activity and using hybrid tools with many-valued of coding are considered. The many-valuedintellectual systems being two-place, but simulating neuron processes of space toting which are different on alevel of actions, inertial and threshold of properties of neurons diaphragms, and also modification of frequency offollowing of the transmitted messages are created. All enumerated properties and functions in point of fact areessential not only are discrete on time, but also many-valued.An Approach to Collaborative Filtering by ARTMAP Neural Networks
http://hdl.handle.net/10525/807
Title: An Approach to Collaborative Filtering by ARTMAP Neural Networks<br/><br/>Authors: Nachev, Anatoli<br/><br/>Abstract: Recommender systems are now widely used in e-commerce applications to assist customers to findrelevant products from the many that are frequently available. Collaborative filtering (CF) is a key component ofmany of these systems, in which recommendations are made to users based on the opinions of similar users in asystem. This paper presents a model-based approach to CF by using supervised ARTMAP neural networks (NN).This approach deploys formation of reference vectors, which makes a CF recommendation system able toclassify user profile patterns into classes of similar profiles. Empirical results reported show that the proposedapproach performs better than similar CF systems based on unsupervised ART2 NN or neighbourhood-basedalgorithm.Applied Problems of Functional Homonymy Resolution for Russian Language
http://hdl.handle.net/10525/806
Title: Applied Problems of Functional Homonymy Resolution for Russian Language<br/><br/>Authors: Nevzorova, Olga; Zin’kina, Julia; Pjatkin, Nicolaj<br/><br/>Abstract: Applied problems of functional homonymy resolution for Russian language are investigated in the work.The results obtained while using the method of functional homonymy resolution based on contextual rules arepresented. Structural characteristics of minimal contextual rules for different types of functional homonymy areresearched. Particular attention is paid to studying the control structure of the rules, which allows for thehomonymy resolution accuracy not less than 95%. The contextual rules constructed have been realized in thesystem of technical text analysis.Training a Linear Neural Network with a Stable LSP Solution for Jamming Cancellation
http://hdl.handle.net/10525/805
Title: Training a Linear Neural Network with a Stable LSP Solution for Jamming Cancellation<br/><br/>Authors: Revunova, Elena; Rachkovskij, Dmitri<br/><br/>Abstract: Two jamming cancellation algorithms are developed based on a stable solution of least squaresproblem (LSP) provided by regularization. They are based on filtered singular value decomposition (SVD) andmodifications of the Greville formula. Both algorithms allow an efficient hardware implementation. Testing resultson artificial data modeling difficult real-world situations are also provided.The Distributed System of Databases on Properties of Inorganic Substances and Materials
http://hdl.handle.net/10525/804
Title: The Distributed System of Databases on Properties of Inorganic Substances and Materials<br/><br/>Authors: Kiselyova, Nadezhda; Dudarev, Victor; Prokoshev, Ilya; Khorbenko, Valentin; Stolyarenko, Andrey; Murat, Dmitriy; Zemskov, Victor<br/><br/>Abstract: The principles of organization of the distributed system of databases on properties of inorganicsubstances and materials based on the use of a special reference database are considered. The last includes notonly information on a site of the data about the certain substance in other databases but also brief information onthe most widespread properties of inorganic substances. The proposed principles were successfully realized atthe creation of the distributed system of databases on properties of inorganic compounds developed byA.A.Baikov Institute of Metallurgy and Materials Science of the Russian Academy of Sciences.Application of Artificial Intelligence Methods to Computer Design of Inorganic Compounds
http://hdl.handle.net/10525/803
Title: Application of Artificial Intelligence Methods to Computer Design of Inorganic Compounds<br/><br/>Authors: Kiselyova, Nadezhda<br/><br/>Abstract: In this paper the main problems for computer design of materials, which would have predefinedproperties, with the use of artificial intelligence methods are presented. The DB on inorganic compoundproperties and the system of DBs on materials for electronics with completely assessed information: phasediagram DB of material systems with semiconducting phases and DB on acousto-optical, electro-optical, andnonlinear optical properties are considered. These DBs are a source of information for data analysis. Using theDBs and artificial intelligence methods we have predicted thousands of new compounds in ternary, quaternaryand more complicated chemical systems and estimated some of their properties (crystal structure type, meltingpoint, homogeneity region etc.). The comparison of our predictions with experimental data, obtained later,showed that the average reliability of predicted inorganic compounds exceeds 80%. The perspectives ofcomputational material design with the use of artificial intelligence methods are considered.Static and Dynamic Integrated Expert Systems: State of the Art, Problems and Trends
http://hdl.handle.net/10525/802
Title: Static and Dynamic Integrated Expert Systems: State of the Art, Problems and Trends<br/><br/>Authors: Rybina, Galina; Rybin, Victor<br/><br/>Abstract: Systemized analysis of trends towards integration and hybridization in contemporary expert systems isconducted, and a particular class of applied expert systems, integrated expert systems, is considered. For thispurpose, terminology, classification, and models, proposed by the author, are employed. As examples ofintegrated expert systems, Russian systems designed in this field and available to the majority of specialistsare analyzed.