A new class of disk MHD equilibrium solutions is described, which is valid within the standard local (“shearing sheet”) approximation scheme. These solutions have the following remarkable property: velocity streamlines and magnetic lines of force rotate rigidly, even in the presence of differential rotation. This situation comes about because the Lorentz forces acting upon modified epicycles co...

Streamtube is used to visualize expansion, contraction and various properties of the fluid flow. These are useful in fluid mechanics, engineering and geophysics. The streamtube constructed in this paper only reveals the flow expansion rate along streamline. Based on the mass conservative streamline, we will show how to construct the streamtube. Keywords—Flow visualization, mass conservative, st...

This paper presents an Interactive View-Driven Evenly Spaced Streamline placement algorithm (IVDESS) for 3D explorative visualization of large complex planar or curved surface flows. IVDESS rapidly performs accurate streamline integration in 3D physical space, i.e., the flow field, while achieving high quality streamline density control in 2D view space, i.e., the output image. The corresponden...

Let us consider incompressible and inviscid flows in two-dimensional domains with multiple obstacles. The instantaneous velocity field becomes aHamiltonian vector field defined from the stream function, and it is topologically characterized by the streamline pattern that corresponds to the contour plot of the stream function. The present paper provides us with a procedure to construct structura...

In the past, industrialized countries have invested in or financed numerous renewable energy projects in developing countries, primarily through the Clean Development Mechanism (CDM) of the Kyoto Protocol. However, critics have pointed to its bureaucratic structure, problems with additionality and distorted credit prices as ill-equipped to streamline renewable energy investment. In this paper, ...

In this paper we present an extension to a Bayesian framework for inference of structural brain networks. This framework provides a generative model that explicitely describes how structural brain networks lead to observed streamline distributions. Our extension consists of adding a hyperprior on the latent Dirichlet variables, such that we can capture global and region-specific behaviour withi...

Simulation of business and manufacturing processes has been helping companies improve their operations for several decades. During that time, business improvement programs have appeared, disappeared, grown and evolved. Six Sigma introduced another way of thinking about process improvement by focusing primarily on the financial impact and how defect reduction, customer satisfaction and improved ...

We present a reservoir simulation scheme that gives accurate resolution of both large-scale and fine-scale flow patterns. The method uses a mixed multiscale finite-element method (MMsFEM) to solve the pressure equation on a coarse grid and a streamline-based technique to solve the fluid transport on a fine-scale subgrid. Through this combination, we aim towards a numerical scheme that facilitat...