Published:
2007-08-01
Articles
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This paper presents developed by authors P2P agent platform, a special software product. Instances of P2P agent platform are deployed in the nodes of P2P network over standard P2P service and altogether produce distribute knowledge database, intended for organizing of semantic agents’ interaction with each other. Agents of applied system are deployed in the nodes of P2P network over instances of P2P agent platform. The functional architecture, intended for further implementation and standardization, developed by FIPA working group was taken as basis of development. Implemented program product supports such mechanisms as P2P agents’ interacting on the basis of ACL — agent communication language, white and yellow pages. These mechanisms are also were developed by authors of this paper. The role, functions and functioning process are shown using two implemented examples, which are quite important from practical point of view. These examples were also used to test and verify main system mechanisms, proposed in this paper, in particular, registering and deregistering of agents and their services in white and yellow pages, distributed searching of agents and their services in the network.
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The paper describes an approach to intelligent decision support. The approach is based on integration of information and knowledge into context that models a problem to be solved or a situation to be presented to a decision maker. The context takes into account dynamic of the environment. Two types of context are used: abstract and operational. The problem to be solved is modelled by a means of object-oriented constraint networks and interpreted as a temporal consraint satisfaction problem. Compatibility of the problem model with ontology model is ensured through application of formalism of the object-oriented constraint networks for knowledge representation. The approach relies upon a twolevel framework of decision support. The framework has two distinct main phases: the preparatory phase and the decision making phase. The approach is oferred to be implemented using the technology of Web-Services.
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The problems of organizing distributed computations are considered. It is shown that the main reason for arising difficulties is an absence of adequate computational model. Dynamic automata networks (DAN) are proposed as such a model. Properties of DAN and possibilities of realizing multiprocessors with dynamic architecture based on this model are considered. Retrospective review of developing and realizing this concept from recursive computers to multiprocessors with dynamic architecture is shown.
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We consider different mathematical models, architectures and methods for learning, selforganization and minimization of complexity for heterogeneous polynomial neural networks (PNN) in problems of vector (widened) pattern recognition, data classification and diagnostics of states. Constructive estimates for the heterogeneity index and parallelism in the process of autonomous classifying decision making with the use of PNNs of different kinds are obtained. It is shown that the parallelism, self-organization, and robustness of heterogeneous PNNs can significantly increase in group (multiagent) solutions of difficult problems in pattern recognition, image analysis, large-scale (vector) diagnostics of states, and adaptive routing of data flows.
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Processing of a directed cycle remains an open question of the Bayesian belief network theory. We propose a message-passing algorithm for initial propagation in the cycle. The results of this algorithms are fully compatible with the results of the algorithms we proposed earlier that is based on another principle. Besides, as result of this computations is formed a semantically equal image of the directed cycle in a Bayesian belief network. For this image we could perform probabilistic logic inference: reconciliation, a priori inference and a posteriori inference.
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The model of the signal is being examined, where the information is divided in fixed image information and variable information of the modifiable message. The volume of the message contained in image determines quantity of arbitrary information, which can be transferred inside the image. To compare with classic estimation of information quantity, the dependence of the quantity of message from lossless compression factor is drawn. On the example of lossy compression the increasing of image stability to distortion owing to restoration of the initial message is demonstrated. Possible applications are discussed.
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A model of digital image attributed with virtual memory by analogy with computer memory is developed. In addition to operation of storage element reset the fixation (weaving) operation of virtual storage element is defined. The basic model image representations are described and their practical interpretations are discussed.
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The article deals with the relational algebra operations and operation properties. Also we discuss rules for transformation of relational expressions. These rules are directed to increase the performance of expression calculation.
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In the article the graphical editor realization of effluence and confluence operators widely used in the practice of building algorithmic networks models is considered. In the previous version of the graphical editor these operators were realized only in the restricted form. The program realization full form operator difficulties and their possible ways to solve are considered.
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The paper describes different graphic type’s representation of UML notation using as base for TTCN methodology test scenarios creating. In this context evaluation of different kind diagram application was made in scope of they application in automation testing for TTCN notation.
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This article outlines an approach to the automated storing and using the results of testing and debugging of mathematical models which defined as a set of historical parameters values describing the state of the testing system in time periods. Particular attention is given to the data warehouses application for these purposes and to their difference from the traditional logging systems. There are also briefly explanation of the core features of the testing and debugging systems based on data warehouses, OLAP and data mining.
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Computing procedure for technical analysis of stock market based on fractals and immunocomputing approach is considered. The gradient algorithm of singular value decomposition of multivariate interval matrix is offered and investigated in the first part of this article. The numerical examples for the chosen stock is presented.
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The paper explores development of automated system for transforming diagram components of structure modeling language into class diagrams using hybrid adaptive business-processes designing technology that includes IDEF0, UML, OWL, RDF, XML, XSLT. Possibility of defining transformation rules that use ontological description is shown.
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We consider an application of the indices method to estimating network scanning-bot effectiveness in tasks of searching relevant information. The search is executed in an information environment with different information arrays. These arrays contain information that have different relevance levels for the user.
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The paper considers existent analytical models of network worms spread dynamics. The deterministic (SIS, SIR, SEIR, SAIR and PSIDR) as well as stochastic models are described.
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The paper considers the existing models and systems of network worm propagation simulation. The simulation systems NWS, SSF.App.Worm, GTNetS, PDNS and DIB:S/TRAFEN are described. The paper analyzes the advantages and disadvantages of applying these systems for network worm propagation research.
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The article says about the main approaches of embedding data in audio files. Moreover, methods for detection of embedding in audio files' headers and in phase scope are proposed.
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The problem of cascading of the risk, applied to the evaluation of the number of mandate categories of the information processing in the distributed system with multilevel access is considered. The proposed approach for evaluation of number of categories is based on the usage of marks of attainability for simmetric random graph, that models informational interaction between points of access of multilevel networks.
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Now the important problems of structure dynamic control (SDC) theory are the evaluation and estimation of stability, goal, and informational-technological abilities for modern information system (IS). Our investigation shows that this problem can be solved by attainability set construction of SDC models. Preliminary evaluation of attainability sets for the SDC models lets allows to reduce the time (needed) required for solution of IS SDC tasks. Therefore in practice the different approximation of attainability sets are used. Methods and algorithms of evaluation of attainability sets for the SDC models are proposed.
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We describe the envelop method to dynamic systems control optimization on the admissible border of control.
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In clause the method is stated and offered simple algorithm formations of a program trajectory of movement of the manipulator, optimum on time. It provides moving on the set parametrical curve in the form of function of scalar argument of a "geometrical" trajectory from initial in final position for minimal time at observance of restrictions on size of the articulate forces developed by drives of the robot.
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An approach to development of hybrid process collection executable specifications is considered. The approach is based on presentation of discrete state transition function with help of situation transformation rules. Possible structures of the rules are discussed in the view of their expressiveness and their fitness for creation of reliable specifications and high-performance executing procedures. The rules properties are shown by the examples of simple hybrid process specifications.
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The determination of the functional walls of the simulators of administrative processes by the conditions of technical systems is produced on the intial stage of simulation, and are realized by empiricism. Mistakes, accepted in their determination, restrict the abilities of simulation and the automations of these processes. In paper is considered approach to the determination of the functional walls of these processes with the use of their SADT-simulators and proposed corresponding methodical recommendations for the solution of this goal. The use of these simulators and recommendations permits to realize goal-seeking information retrieval demanded for the solution of the goal of the determination of the functional walls of scrutinized processes and due to it is substantial to simplify its solution.
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The article is devoted to APC (Advanced Process Control) applications in processes automated control. Developed program complex “Matrix” is offered to elaborate forecasting models and, in turn, to optimize multiple process control according to the chosen criterion of efficiency and available restrictions.
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This article proposing the dynamic model for evaluating the properties of additive mixtures with nonlinear interactions between components. The model-based algorithms improved planning process mixing in the flow lines in filling fuels with different characteristics, optimal control algorithms mixing in the lines filling in real-time control algorithms and filling the fuel tank. The operability of appropriated algorithms is tested by the optimization task for technology flow control for diesel fuel compounding on the flow.
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Sputnik radionavigation (e.g. NCE — Navigation Customer Equipment) gains the navigation services market with speed. It results in an appearance of a number of prognoses about probability of transports NCE using with sputnik radionavigation systems (SRNS). In the article there are answers represented by the author for three questions: 1) what is the requirements for (radio)navigation equipment particularly for navy and aviation customers? 2) Are this corresponding with characteristics of modern systems and systems in design? 3) What is the future requirements for NCE? Also in the article there are information about NCE SRNS market situation in Russia and prognoses for prospective NCE image.
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GIS technologies now are widely used in many spheres of human activity. According to a modern approach GIS is not only a tool for displaying maps but it is a complex application for solving sophisticated problems in different business areas. In these article possible approaches to construction of GIS based analytical systems for creation and maintenance of geo-economic maps are discussed.
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The primary research task was to study psychological defense and coping-strategies of HIV-infected persons. The special attention was given to the analysis of HIV-infected people risky behavior and to the most probable forms of this behavior that may threaten non-infected people. Automation of the processing of the obtained data was considered in detail.
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A new representation structure of large vocabulary for high inflective language is sketched. Reach morphology complicates text and speech parsing. To improve the performance a two level morpho-phonetic prefix graph is proposed for vocabulary representation. Sharing the identical beginning parts and endings of different words significantly reduces the search space for a large vocabulary. Stem based language model reduces the complexity of continuous speech decoding and solves data scarcity problem for the inflective languages. The proposed graph was compared with two baseline word lattice models that showed significant reduction of topology complexity of the graph.
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Different aspects of the biometric systems building for fight with terrorism on air transport are considered.
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The application of the fractal dynamic analysis method to tensometrical data is results in some variables appearance. There is a problem of features extraction in the paper. Features calculation methods, classification methods and features extraction criteria are discussed. The review of features extraction algorithms are represented.
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This article proposed an index structure for a formal immune network. It introduced a new notation of risk index, set the objective of optimizing index parameters in terms of mean square performance criterion, which was then solved.
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An example of multiagent model for animal population is considered. As expected, it should be used for both quantitative and spatial modeling. The model structure and particular agent functions are defined. The most famous architectures for intellectual agents are presented. Architectures for agents in population model are defined.
