23,471 research outputs found

    Survivability Analysis of GSM Network Systems

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    The Global System for Mobile communication (GSM) is now a worldwide-accepted standard for digital cellular systems. With the increasing of GSM popularity, customers are expecting a high level of service, from which availability is considered the major measure of quality. This paper presents a methodology for availability assessment of GSM systems. The availability block diagram model is selected to model the system, taking into account the signal strength and signal covering overlaps exist in GSM systems. The TEMS Cell Planner, TEMS Link Planner and Relex 8 are used to simulate the model for real data. The real data is collected from Korek telecom, the first GSM system in Iraqi Kurdistan. Finally recommendations are made to improve the availability within standards

    Computational analysis of network survivability with application to power systems

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    AbstractThe operability of society’s critical infrastructures depends on the availability of electric power. Adverse events (natural disasters, intelligent adversary, etc.) occur rarely, but power system failure under such conditions has typically devastating effects on the economy and lives. A key factor in the system’s ability to withstand massive sudden damage caused by adverse events is its topology: the number of system elements that generate and demand power and the connections between them. The topology factor can be quantified by analyzing the impact of all possible combinations of unrecoverable faults (fault scenarios) on the availability and connectivity of system elements. As the number of possible fault scenarios grows as 2M with increasing number M of system elements, such an analysis becomes a computational challenge for large-scale systems. The paper discusses possibilities of reducing the computational complexity of the problem

    Survivability of Deterministic Dynamical Systems

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    The notion of a part of phase space containing desired (or allowed) states of a dynamical system is important in a wide range of complex systems research. It has been called the safe operating space, the viability kernel or the sunny region. In this paper we define the notion of survivability: Given a random initial condition, what is the likelihood that the transient behaviour of a deterministic system does not leave a region of desirable states. We demonstrate the utility of this novel stability measure by considering models from climate science, neuronal networks and power grids. We also show that a semi-analytic lower bound for the survivability of linear systems allows a numerically very efficient survivability analysis in realistic models of power grids. Our numerical and semi-analytic work underlines that the type of stability measured by survivability is not captured by common asymptotic stability measures.Comment: 21 pages, 6 figure

    ΠŸΠΎΡΡ‚Ρ€ΠΎΠ΅Π½ΠΈΠ΅ тСрминологичСской сСти ΠΏΡ€Π΅Π΄ΠΌΠ΅Ρ‚Π½ΠΎΠΉ области

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    ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½ΠΎ описаниС ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ построСния сСтСй ΠΈΠ΅Ρ€Π°Ρ€Ρ…ΠΈΠΉ Ρ‚Π΅Ρ€ΠΌΠΈΠ½ΠΎΠ² Π½Π° основС Π°Π½Π°Π»ΠΈΠ·Π° массива тСкстов ΠΏΠΎ Π²Ρ‹Π±Ρ€Π°Π½Π½ΠΎΠΉ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠ΅ (ТивучСсти тСхничСских ΠΈ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… систСм). ΠœΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° базируСтся Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΈ ΠΊΠΎΠΌΠΏΠ°ΠΊΡ‚ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… Π³Ρ€Π°Ρ„ΠΎΠ² Π³ΠΎΡ€ΠΈΠ·ΠΎΠ½Ρ‚Π°Π»ΡŒΠ½ΠΎΠΉ видимости для Ρ‚Π΅Ρ€ΠΌΠΈΠ½ΠΎΠ² β€” ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Ρ… слоС, Π±ΠΈΠ³Ρ€Π°ΠΌΠΌ ΠΈ Ρ‚Ρ€ΠΈΠ³Ρ€Π°ΠΌΠΌ, Π° Ρ‚Π°ΠΊΠΆΠ΅ установлСнии связСй ΠΌΠ΅ΠΆΠ΄Ρƒ Ρ‚Π΅Ρ€ΠΌΠΈΠ½Π°ΠΌΠΈ. ΠŸΠΎΡΡ‚Ρ€ΠΎΠ΅Π½Π° ΠΈ исслСдована ΡΠ΅Ρ‚ΡŒ языка, сформированная Π½Π° основС ΠΏΠΎΠ»Π½Ρ‹Ρ… тСкстов Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… статСй ΠΏΠΎ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠ΅ ТивучСсти.The building technique of networks of terms hierarchies being based on the analysis of chosen texts on selected issues (survivability of technical and information systems) is offered. The technique is based on the methodology of horizontal visibility graphs for individual words, bigrams and trigrams. It has been constructed and investigated a language network, formed on the basis of full texts of scientific papers on the issue of survivability
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