The purpose of this paper was to design a conceptual model of sustainable outsourcingwith a balanced scorecard using the hierarchical analysis process. In this research, success factors of outsourcing were identified based on previous studies conducted inside and outside of the country. To ensure the validity of the factors, in addition to the content validity and the validity index, the reliab...

This work advocates Eulerian motion representation learning over the current standard Lagrangian optical flow model. Eulerian motion is well captured by using phase, as obtained by decomposing the image through a complexsteerable pyramid. We discuss the gain of Eulerian motion in a set of practical use cases: (i) action recognition, (ii) motion prediction in static images, (iii) motion transfer...

Numerical modeling of the flow structure and heat transfer in a gas-droplet turbulent duct with forward-facing step is carried out. The two-dimensional RANS equations are used numerical solution. Eulerian two-fluid approach for describing dynamics gaseous dispersed phases. turbulence carrier phase described using an elliptical Reynolds stress model taking presence phase. It shown that finely-di...

The Lagrangian numerical simulation (LNS) scheme presented in this paper is motivated by the multiphase particle-in-cell (MP-PIC). In this numerical scheme we solve the fluid phase continuity and momentum equations on an Eulerian grid. The particle motion is governed by Newton's law thus following the Lagrangian approach. Momentum exchange from the particle to fluid is modeled in the fluid phas...

Estimation of intracranial stress distribution caused by mass effect is critical to the management of hemorrhagic stroke or brain tumor patients, who may suffer severe secondary brain injury from brain tissue compression. Coupling with physiological parameters that are readily available using MRI, eg, tissue perfusion, a non-invasive, quantitative and regional estimation of intracranial stress ...

Particle-laden or droplet-laden turbulent flows occur in many industrial applications and in natural phenomena. Knowledge about the properties of these flows can help to improve the design of unit operations in industry and to predict for instance the occurrence of rain showers. This knowledge can be obtained from experimental research and from numerical simulations. In this paper a review is g...