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80 541 (0,141s)

Result

Dynamical system with Markov parameters for modelling system security of threats in cyberspace

The moment equations are derived for a system of linear difference equations with Markov switching. One example illustrates the use of such systems for modeling the security of threats in cyberspace....

Statistics and probability

  • 2019
  • D
  • Link
Result

Mean-Payoff Optimization in Continuous-Time Markov Chains with Parametric Alarms

Continuous-time Markov chains with alarms (ACTMCs) allow for alarm events that can be non-exponentially distributed. Within parametric ACTMCs, the parameters of alarm-event distributions are not given explicitly and can be subject o...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • D
  • Link
Result

A dynamical system with random parameters as a mathematical model of real phenomena

equations with random parameters that depend on a semi-Markov or Markov process on a random Markov or semi-Markov chain with jumps. The moment equations are derived for such a system when the random struc...

Statistics and probability

  • 2019
  • Jimp
  • Link
Result

Prognosis and optimization of homogeneous Markov message handling networks.

Message handling systems with finitely many servers are mathematically described as homogeneous Markov networks. For hierarchic networks in found a recursive algorithm evaluating after finitely many steps all steady state parameters...

BB - Aplikovaná statistika, operační výzkum

  • 2001
  • Jx
Result

Mean-Payoff Optimization in Continuous-Time Markov Chains with Parametric Alarms

Continuous-time Markov chains with alarms (ACTMCs) allow for alarm events that can be non-exponentially distributed. Within parametric ACTMCs, the parameters of parameter synthesis. In this line, an algorithm is presented t...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
  • Jimp
  • Link
Result

Model-based fatigue fractographs texture analysis.

A novel model-based approach for estimation of the velocity of crack growth from microfractographical images is proposed. These images are represented by a Gaussian Markov random field model and the crack growth rate is modelled by a linear ...

BD - Teorie informace

  • 2002
  • D
Result

Markov models and their use for calculations of important traffic parameters of contact center

The main goal of this work is to analyze of Markov model M/M/m/infinity properties in Contact center environment. IVR system is modeled by Markov model M/M/infinity/infinity....

IN - Informatika

  • 2011
  • Jx
Result

Realisation of Markov Chain's Parameter Reduction Algorithm in Matlab Environment

The contribution concerns with the problems related to approximate identification of stochastic systems modelled by Markov chains. Although Markov chains are easily identifiable and adaptable their use is restricted because of extre...

BC - Teorie a systémy řízení

  • 2002
  • D
Result

A Compound MRF Texture Model

. The proposed compound Markov random field model combines a non-parametric control random field with analytically solvable widesense Markov representation for single regions and thus allows to avoid demanding Markov Chain ...

BD - Teorie informace

  • 2010
  • D
Result

Optimizing Performance of Continuous-Time Stochastic Systems Using Timeout Synthesis

values of parameters can be effectively approximated using translation to a MarkovWe consider parametric version of fixed-delay continuous-time Markov chains are specified by parameters, rather than concrete value...

IN - Informatika

  • 2015
  • D
  • Link
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