Rotodynamic multiphase pumps are usually equipped with many compression units to provide sufficient boosting pressure for the transportation of production fluid in gas oil field. It is a challenge maintain pump performance while flow parameters each stage vary due compressibility gas-liquid phase. In this article, stage-by-stage design method proposed improve capability pump. Variations investi...

many researchers adopt local binary pattern for pattern analysis. however, the long histogram created by local binary pattern is not suitable for large-scale facial database. this paper presents a simple facial pattern descriptor for facial expression recognition. local pattern is computed based on local gradient flow from one side to another side through the center pixel in a 3x3 pixels region...

1 Head and Associate Professor, Dept. of Computer Science, Vellalar College for Women, Erode, Tamilnadu, India 2 Research Scholar, Department of Computer Science, Vellalar College for Women, Erode, Tamilnadu, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract -Diabetes is a chronic disease an...

This paper presents the effect of high viscosity oil and two-phase foamy-oil flow on the performance of a single stage centrifugal pump. As a part of this, the applicability of a pipe viscometer to determine the foamy oil viscosity is investigated. Unlike previous studies, a sealed fluid tank is used in a closed flow loop to allow conditioning the two-phase mixture to create foamy-oil. Furtherm...

In oil field applications it is often required to pump oil, gas, and water as mixtures rather than separating the fluid. Although the performance prediction of twin-screw pumps on liquids is well established, the prediction of performance of these pumps on multiphase mixtures presents a challenge. Test data of twin-screw rotary pumps are compared with predictions of performance over ranges of f...

This document provides additional description to certain con1 tent of the paper and additional results of the A field-based 2 flow visualization. 3 1. Detailed Derivation of Relation between FTLE and Path4 line Orientation Vector 5 Recall that in Section 5.2 of the paper, the Lagrangian accu6 mulation is applied to collect vector-valued properties. Specif7 ically, we use it to accumulate the fl...

We derive a Hodge decomposition of discrete vector fields on polyhedral surfaces, and apply it to the identification of vector field singularities. This novel approach allows us to easily detect and analyze singularities as critical points of corresponding potentials. Our method uses a global variational approach to independently compute two potentials whose gradient respectively co-gradient ar...

A novel Neural Network architecture is proposed using the mathematically and physically rich idea of vector fields as hidden layers to perform nonlinear transformations in the data. The data points are interpreted as particles moving along a flow defined by the vector field which intuitively represents the desired movement to enable classification. The architecture moves the data points from th...

Accurate analysis of insect brain structures in digital confocal microscopic images is valuable and important to biology research needs. The first step is to segment meaningful structures from images. Active contour model, known as snakes, is widely used for segmentation of medical images. A new class of active contour model called gradient vector flow snake has been introduced in 1998 to overc...