A linear axis is a vital subsystem of machine tools, which are vital systems within many manufacturing operations. When installed and operating within a manufacturing facility, a machine tool needs to stay in good condition for parts production. All machine tools degrade during operations, yet knowledge of that degradation is illusive; specifically, accurately detecting degradation of linear ax...

grading science and grading equipment for many kinds of sea products are growing rapidly in developed communities and variety of grading equipment can be found in most of the large fishery units. computer vision has the potential to be used as a precise method for recognition and assessment of apparent characteristics. in this study, machine vision technology was used to sort fish based on spec...

in this research, a braiding-pultrusion production line is developed by modifying a conventional textile maypole braiding machine and adding it to a pultrusion line for production of braid-pultruded (bp) composite rods. in order to evaluate the mechanical properties of bp rods and study the effect of some braiding parameters, they were produced with different braid roving linear densities and b...

Hemaspaandra and Torenvliet showed that each P-selective set can be accepted by a polynomial-time nondeterministic machine using linear advice and quasilinear nondeterminism. We show that each P-selective set can be accepted by a polynomial-time nondeterministic machine using linear advice and linear nondeterminism.

Hemaspaandra and Torenvliet showed that each P-selective set can be accepted by a polynomial-time nondeterministic machine using linear advice and quasilinear nondeterminism. We extend this by showing that each P-selective set can be accepted by a polynomial-time nondeterministic machine using linear advice and linear nondeterminism.

One of the most significant and effective criteria in the process of cutting dimensional rocks using the gang saw is the maximum energy consumption rate of the machine, and its accurate prediction and estimation can help designers and owners of this industry to achieve an optimal and economic process. In the present research work, it is attempted to study and provide models for predicting the m...

Show that the prediction errors y − f (x; ˆ w) are necessarily uncorrelated with any linear function of the training inputs. That is, show that for any a ∈ R d+1ˆσ(e, a T x) = 0, where e i = y i − ˆ w T x i is the prediction error for the i th training example.

A comparative workflow, including linear and non-linear QSAR models, was carried out to evaluate the predictive accuracy of models and predict the inhibition activity of a series of aryl-substituted isobenzofuran-1(3H)-ones. The data set consisted of 34 compounds was classified into the training and test sets, randomly. Molecular descriptors were selected using the genetic algorithm (GA) as a f...