… MODEL OF THE SYSTEM In this paragraph we develop a model of the disk array proposed
… Of the various available methods we chose modeling by Stochastic Reward Nets (SRNs) 5, …

… size but also with the number of tokens in the model since the state is represented as the …
we model the system using the Stochastic High Level Petri Nets (SHLPNs) [4]. In such model …

… (IMS), a framework in charge of providing advanced multimedia … More specifically, relying
on a failure/repair model of a … system by means of Stochastic Reward Networks framework. …

… A stochastic model is used for both watermark embedding and extraction, combined with
the wavelet decomposition. In contrast to earlier non adaptive techniques, we can increase the …

… or do not reveal all details of the simulation model. We develop a stochastic Petri net model,
which captures all relevant system aspects in a concise way. Simulation allows to quantify …

… Therefore, for each video, our model can generate multiple … novel backward stochastic LSTM
(S-LSTM) mechanism to model … model these uncertainties using latent stochastic variables. …

… model at a lower abstraction level is too complex to verify. In our work, we intended to capture
the stochastic … level which does not make the model complex. Specifically, we wanted to …

… measurement error, the model is stochastic, so we … the system, the water will eventually
reach an unsafe level. However, the probability that this happens within the lifetime of the system …

… This work is about finding a good trade-off, when designing the multimedia system, between
the required sizes of the system buffers and the quality of delivered videos. It is known in the …

… MODEL OF THE SYSTEM In this paragraph we develop a model of the disk array proposed
… Of the various available methods we chose modeling by Stochastic Reward Nets (SRNs)5, …