Abstract The projectile launched by electromagnetic weapon has strong kinetic energy. In order to study the laws and characteristics of induction coilgun launching underwater, a multi-stage model was established in this paper. Based on control variates method, effects trigger position, coil turns, capacitance value other parameters process were studied, then above factors efficiency exit speed ...

Abstract The peculiarity of renewable sources is their replenishment. To ensure energy security and correctly use land resources, it possible to biogas plants, which are sources. However, efficient these installations turns out be a difficult task that requires comprehensive assessment the parameters operation. In example under consideration, such are: choice power heating equipment installatio...

Ferrocement is formed of a thin layer cement mortar that has been strengthened with multiple layers wire mesh diameter between 0.5 mm to 1 mm. To evaluate the durability criteria for specimen, series cubes and cylinders were cast in this experiment using mix at ratio 1:3 water-cement 0.40 was selected. In study, ability ferrocement endure water penetration, sorptivity, resistance sulphates exam...

We study the properties of a future singularity encountered by a perfect fluid observer in tilting spatially homogeneous Bianchi cos-mologies. We derive the boost formulae for the Weyl tensor to establish that, for two observers that are asymptotically null with respect to each other, their respective Weyl parameters generally both tend to zero, constant, or infinity together. We examine three ...

This paper presents a Petri net (PN) analysis technique which extend the analysis capabilities of T-invariants. This technique is based on the conversion of the PN into formulas of linear logic and on the introduction of the marking into P-invariants. It allows to test if T-invariants are pertinent related to the application's constraints of marking. Our technique determines for each valid sequ...

Many statistical problems involve the learning of an importance/effect of a variable for predicting an outcome of interest based on observing a sample of n independent and identically distributed observations on a list of input variables and an outcome. For example, though prediction/machine learning is, in principle, concerned with learning the optimal unknown mapping from input variables to a...

We present an integrated design and marketing approach to facilitate the generation of an optimal robust set of product design alternatives to carry forward to the prototyping stage. The approach considers variability in both (i) engineering design domain, and (ii) customer preferences in marketing domain. In the design domain, the approach evaluates performance and robustness of a design alter...