Air-cooled condensers in thermal power plants have recently become increasingly popular. Besides all the advantages they have, like no demands for water supply on plant site and need taking care of environmental regulations, also some serious disadvantages. One biggest disadvantages air-cooled do is precisely nature Earth?s atmosphere being their low temperature reservoir. Low density heat capa...

Purpose is to identify a dependence of basalt raw material fine screening upon the operating and structural parameters sieving equipment. Methods. The research results have been obtained relying comparative analysis In this regard, analyzed grading efficiency characteristics were defined for three densities rock mass mined in open pits. They are γ = 1.4 g/сm3 tuff; 2.2 lava-breccia; 2.6 basalt....

in this investigation, the performance of a tower for absorption of sulphur dioxide gas into calcium carbonate solution has been studied. the trays had no downcomer and the tower itself was a scaled down pilot from industrial equipment. the industrial scale tower was used for clean up of 110000 m3/hr gas using 40 m3/hr alkaline solution. the study was composed of two parts. in the first section...

Effective parameters that can effect on the performance of the separation system consist of operating pressure, operating temperature, reflux ratio, and kind of produce desirable products and different sequences of splits. As take a separation system with optimal performance is dependent on optimization of above mentioned effective parameters. In generally, there are two criteria (as object fun...

We introduce a novel kernel for comparing two text documents. The kernel is an inner product in the feature space consisting of all subsequences of length k. A subsequence is any ordered sequence of k characters occurring in the text though not necessarily contiguously. The subsequences are weighted by an exponentially decaying factor of their full length in the text, hence emphasising those oc...

Probabilistic Neural Networks (PNNs) constitute a promisingmethodology for classification and prediction tasks. Their performance depends heavily on several factors, such as their spread parameters, kernels, and prior probabilities. Recently, Evolutionary Bayesian PNNs were proposed to address this problem by incorporating Bayesian models for estimation of spread parameters, as well as Particle...