Wyniki wyszukiwania - BazTech

1

The multivariate multilevel analysis of different regional factors impact on road safety in European country regions

Wachnicka J., Smolarek L.

Journal of KONBiN

|

2012

|

No. 4 (24)

141--148

EN

In this research, the effect of the European regional differences on the risk of been killed in road accident in these regions is investigated. Factors which differentiate regions can be described as automotive, economic, infrastructural, demographic, geographic. Analyzed risk, counted as regional fatality rate was modeled by the Poisson model. Because of regional diversity of Poisson distribution parameters, the Poisson distribution was adopted. The multivariate multilevel model was developed, in order to asses combined effects of different factors on road safety level in regions. Such models could be helpful to forecast such risk on the regional level and focus safety actions precisely for region, because the national actions and their results differentiate in regions so far.

PL

W artykule przedstawiono wpływ cech różnicujących regiony krajów europejskich na ryzyko bycia ofiarą śmiertelną wypadku drogowego. Zmienne różnicujące regiony to m.in. charakterystyki motoryzacyjne, ekonomiczne, infrastrukturalne, demograficzne i geograficzne. Założono, że ryzyko mierzone jako wskaźnik zabitych w regionach ma rozkład Poissona, a w procesie modelowania przyjęto uogólniony model Poissona. Opracowano wielopoziomowy model wieloczynnikowy w celu oceny złożonego, wzajemnego wpływu różnych czynników na poziom bezpieczeństwa w regionach, który może pomóc w prognozowaniu analizowanego wskaźnika na poziomie regionalnym oraz ukierunkowaniu działań służących poprawie bezpieczeństwa w danym regionie.

2

Bayesian reliability models of Weibull systems: State of the art

Zaidi A., Ould Bouamama B., Tagina M.

International Journal of Applied Mathematics and Computer Science

|

2012

|

Vol. 22, no. 3

585-600

EN

In the reliability modeling field, we sometimes encounter systems with uncertain structures, and the use of fault trees and reliability diagrams is not possible. To overcome this problem, Bayesian approaches offer a considerable efficiency in this context. This paper introduces recent contributions in the field of reliability modeling with the Bayesian network approach. Bayesian reliability models are applied to systems with Weibull distribution of failure. To achieve the formulation of the reliability model, Bayesian estimation of Weibull parameters and the model's goodness-of-fit are evoked. The advantages of this modelling approach are presented in the case of systems with an unknown reliability structure, those with a common cause of failures and redundant ones. Finally, we raise the issue of the use of BNs in the fault diagnosis area.

3

Rough Set Based Reasoning About Changes

Skowron A., Stepaniuk J., Jankowski A., Bazan J.G., Swiniarski R.

Fundamenta Informaticae

|

2012

|

Vol. 119, nr 3/4

421-437

EN

We consider several issues related to reasoning about changes in systems interacting with the environment by sensors. In particular, we discuss challenging problems of reasoning about changes in hierarchical modeling and approximation of transition functions or trajectories. This paper can also be treated as a step toward developing rough calculus.