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Serialization of input and output data transfers in parallel structures

Piech H., Styś M.

Prace Naukowe Instytutu Matematyki i Informatyki Politechniki Częstochowskiej

2007

Vol. 6, nr 1

241-252

We propose the new interpretation of feature named "serialization" as a characteristic of scheduling algorithms. In our interpretation serialization would be the property of algorithm referring to accumulating date in processes as well as to summary procedure of sending date to chosen place (processor or process) directly before their utilization. We want to practically prove that serialization can help us to enlargement the effectiveness of scheduling procedures.

A new method for computing the reliability of composite systems

Karbasian M., Mahdavi M.

Journal of Polish Safety and Reliability Association

2007

Vol. 1

199--203

This paper tries to represent a new method for computing the reliability of a system, which is arranged in series or parallel model. In this method we estimate life distribution function of whole system using the asymptotic Extreme Value (EV) distribution of Type I, or Gumbel theory. We use EV distribution in minimal mode, for estimate the life distribution function of series system and maximal mode for parallel system. All parameters also are estimated by Moments method. Reliability function and failure (hazard) rate and p-th percentile point of each function are determined. Other important indexes such as Mean Time to Failure (MTTF), Mean Time to repair (MTTR), for non-repairable and renewal systems in both of series and parallel structures will be computed.

Parallel and cascade structures of the multidimensional fuzzy model

Pieczynski A.

Systems Science

2002

Vol. 28, nr 4

17-34

A system input-output response is modelled using a knowledge-based method of signal processing known as fuzzy logic. The paper presents the parallel and cascade structures of the fuzzy model. Fuzzy model tuning procedures based on a neural-fuzzy model are also given. As an example, the analysis of both structures is carried out for the fuzzy modelling of parameters, which are necessary to describe the state of a pressure vessel with water-steam mixture during accidental depressurizations.