Judith E. Terrill

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Knowledge of the propagation media is a key step toward a successful transceiver design. Such information is typically gathered by conducting physical experiments, measuring and processing the corresponding data to obtain channel characteristics. In case of medical implants, this could be extremely difficult, if not impossible. In this paper, an immersive(More)
Information regarding the propagation media is typically gathered by conducting physical experiments, measuring and processing the corresponding data to obtain channel characteristics. When this propagation media is human body, for example in case of medical implants, then this approach might not be practical. In this paper, an immersive visualization(More)
This paper describes a set of tools for performing measurements of objects in a virtual reality based immersive visualization environment. These tools enable the use of the immersive environment as an instrument for extracting quantitative information from data representations that hitherto had be used solely for qualitative examination. We provide, within(More)
We describe a method for calibrating an electromagnetic motion tracking device. Algorithms for correcting both location and orientation data are presented. In particular we use a method for interpolating rotation corrections that has not previously been used in this context. This method, unlike previous methods, is rooted in the geometry of the space of(More)
Efficient transceiver design in body area networks requires in-depth understanding of the propagation channel which in this case involves the human body. Several studies have been done to characterize RF propagation on the body surface and determine the parameters of an appropriate model. However, the possible effect of an already existing medical implant(More)
A recently described stochastic reaction-transport model on three-dimensional lattices is parallelized and is used to simulate the time-dependent structural and chemical evolution in multicomponent reactive systems. The model, called HydratiCA, uses probabilistic rules to simulate the kinetics of diffusion, homogeneous reactions and heterogeneous phenomena(More)
This is the third in a series of articles that describe, through examples, how the Scientific Applications and Visualization Group (SAVG) at NIST has utilized high performance parallel computing, visualization, and machine learning to accelerate scientific discovery. In this article we focus on the use of high performance computing and visualization for(More)
An integrated environment was created to study the interaction among fire, heat transfer, and structural deformation from a typical room fire. The fire, thermal, and structural data were linked with a separate 3-D visualization capability, to provide the ability to visualize in real time the thermal and structural behavior of a chosen structural component(More)
We present methods for measuring errors in the rendering of three-dimensional points, line segments, and polygons in pixel-based computer graphics systems. We present error metrics for each of these three cases. These methods are applied to rendering with OpenGL on two common hardware platforms under several rendering conditions. Results are presented and(More)
Content creation for realtime interactive systems is a difficult problem. In game development, content creation pipelines are a major portion of the code base and content creation is a major portion of the budget. In research environments, the choice of rendering and simulation systems is frequently driven by the need for easy to use content authoring(More)