In recent years, structured overset grid technology has been successfully applied to computational fluid dynamics analysis on a wide variety of complex aerospace applications.1–11 While structured overset grid flow solvers such as OVERFLOW12 and LAVA13 are highly e cient relative to typical flow solvers utilizing unstructured grids, structured overset grid generation remains a labor intensive a...

In the grid-coding technique, the accurate grid junction locations are vital to the surface computation. Noise arising from the imaging formation and processing processes will jeopardize the computation accuracy. The objective of this study is to make use of the geometric property of cross ratio to improve the accuracy of grid junction locations in grid-coded images. A method is devised to rege...

Smart grid enhances optimization in generation, distribution and consumption of the electricity by integrating information and communication technologies into the grid. Today, utilities are moving towards smart grid applications, most common one being deployment of smart meters in advanced metering infrastructure, and the first technical challenge they face is the huge volume of data generated ...

This paper presents a set of surface and volume grid generation techniques which reuse existing surface and volume grids. These methods use combinations of data manipulations to reduce grid generation time, improve grid characteristics, and increase the capabilities of existing domain discretization software. The manipulation techniques utilize physical and computational domains to produce basi...

the first step in studying dust events is the estimation of dust emission from sources. in this study, the simulations of the vertical dust flux (vdf) over iran by the mba (marticorena, bergametti, and alfaro) and shao schemes are compared. the mba scheme is energy-based and derived on the basis of energy balance between the kinetic energy of saltating particles and binding energy of the surfac...

An adaptive grid model is being developed to reduce the resolution-related uncertainty in air quality predictions. By clustering the grid nodes in regions where errors in pollutant concentrations would potentially be large, the model is expected to generate much more accurate results than its fixed, uniform grid counterparts. The repositioning of grid nodes is performed automatically using a we...

Regularly gridded data in Euclidean 3-space are assumed to be digitizations of regular solids with respect to a chosen grid resolution. Gauss and Jordan introduced different digitization schemes, and the Gauss center point scheme is used in this paper. The surface area of regular solids can be expressed finitely in terms of standard functions for specific sets only, but it is well defined by tr...

Haptic rendering of data on irregular grids requires additional data storage and real time computation compared to the same size data sets on regular grids. At the same time, it is important to keep computation time small to avoid noticeable artifacts in haptic rendering. When the rendering algorithm is implemented on DSP processors, memory is often much smaller than on contemporary general pur...

1 The phased-array radar (PAR) of the National Weather Radar Testbed (NWRT) in Norman, Oklahoma represents a paradigm shift for weather radar observations. The PAR with abilities such as a higher data update rate through beam multiplexing (Yu et al. 2007) offers not only an opportunity but also a challenge for meteorologists to exploit its potentials for helping us improve convective storm anal...