The energy cost is a significant expense in the machining companies, and the reduction of energy consumption has a critical prescription in the industry. To increase energy efficiency, machine producers have contributed ...

Silica-based materials functionalized with silicotungstic acid (STA) are shown as effective catalysts for methyl acetate reactions. In this work, hydrothermal and dry impregnation methods were used for the synthesis of ...

This study aims to investigate the thermal behaviours of a specific biomass and a polymer sample through co-pyrolytic degradation. Therefore, a non-edible food processing waste (cherry seed: CS) and a typical plastic waste ...

An instrument for calibration of hot-wire probes at very low velocities in water applications is introduced.The technique is based on moving a hot-wire probe by means of a rotating-arm device in stillwater. This simple in ...

In this paper, the mathematical model used in fnding the common vectors of classes in pattern recognition problems is reconsidered to obtain possible alternative solutions for the common vectors. Since the number of ...

In this study, Japanese Industrial Standard diesel no 2 and waste cooking oil biodiesel fuels are compared interms of environmental pollution cost analysis. The experiments of the diesel and biodiesel fueled diesel engineare ...

Water scarcity and contamination of available water are becoming one of the most complex problems worldwide and they compromise economic development, global sustainability, and human supply, among others. Water is required ...

This paper targets to consider a hybrid cycle consisting of a solid oxide fuel cell and an Ericsson thermal engine that provides drinking water by connecting to a reverse osmosis desalination unit. First, a parametric ...

The main objective of this study is to compare face recognition accuracies in the case when the grey levels in eachpixel of the face images are replaced by the gradient and the surface normal vectors. Extensive information ...

In this paper, a hybrid classification approach which is combined with a more deep mask regionconvolutional neural network and sparsity driven despeckling algorithm is proposed for synthetic aperture radar (SAR) image ...