Abstract: Biclustering is the way of two-dimensional data
analysis. For several years it became possible to express such issue
in terms of Boolean reasoning, for processing continuous, discrete
and binary data. The mathematical backgrounds of such approach —
proved ability of induction of exact and inclusion–maximal biclusters
fulfilling assumed criteria — are strong advantages of the method.
Unfortunately, the core of the method has quite high computational
complexity. In the paper the basics of Boolean reasoning approach
for biclustering are presented. In such context the problems of
computation parallelization are risen.
Abstract: Due to the increasing efforts on saving our natural
environment a change in the structure of energy resources can be
observed - an increasing fraction of a renewable energy sources.
In many countries traditional underground coal mining loses its
significance but there are still countries, like Poland or Germany, in
which the coal based technologies have the greatest fraction in a total
energy production. This necessitates to make an effort to limit the
costs and negative effects of underground coal mining. The longwall
complex is as essential part of the underground coal mining. The
safety and the effectiveness of the work is strongly dependent of the
diagnostic state of powered roof supports.
The building of a useful and reliable diagnostic system requires
a lot of data. As the acquisition of a data of any possible operating
conditions it is important to have a possibility to generate a demanded
artificial working characteristics. In this paper a new approach of
modelling a leg pressure in the single unit of powered roof support.
The model is a result of the analysis of a typical working cycles.