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NASA Scientific and Technical Aerospace Reports

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Backward Heat Conduction Problems by a High Order Lattice-Free Finite Difference Method<br />

CASI<br />

Boundary Integral Method; Finite Difference Theory; Galerkin Method; Integral Equations; Nonlinearity; Trefftz Method;<br />

Numerical Analysis<br />

20040120878 Hawaii Univ., Honolulu, HI, USA<br />

Hawaii Superpave Demonstrative Project: Measurement of Asphalt Mix Design Parameters Using Image Analysis<br />

Br<strong>and</strong>es, H. G.; Hirata, J. G.; Mar. 2003; 100 pp.; In English<br />

Report No.(s): PB2004-107336; UHM/CEE/04-03; No Copyright; Avail: CASI; A05, Hardcopy<br />

Image analysis represents a powerful tool for measuring morphological properties of asphalt mixes from exposed cross<br />

sections of compacted specimens. The procedure involves acquiring digitized images <strong>and</strong> processing the content by means of<br />

various numerical algorithms. Key parameters that are of interest to pavement design <strong>and</strong> that are amenable to measurement<br />

by image analysis include aggregate gradation, asphalt content, air void content, amount of flat/elongated aggregates <strong>and</strong><br />

distribution of particle orientations. Determination of these properties by st<strong>and</strong>ard laboratory tests is time-consuming, costly,<br />

often environmentally undesirable <strong>and</strong> subject to testing errors. The objective of this study has been to develop a<br />

comprehensive computer program that can produce these quantities by processing 2-D images of compacted HMA sections.<br />

NTIS<br />

Computer Programs; Image Analysis; Image Processing<br />

20040120966 Lawrence Livermore National Lab., Livermore, CA<br />

Slow-Growing Subdivisions in any Dimension: Towards Removing the Curse of Dimensionality<br />

Pascucci, V.; Jun. 25, 2001; 14 pp.; In English<br />

Report No.(s): DE2004-15007272; UCRL-ID-144257; No Copyright; Avail: Department of Energy Information Bridge<br />

The efficient representation of volumetric meshes is a central problem in scientific visualization. The difference in<br />

performance between most visualization algorithm for rectilinear grids <strong>and</strong> for unstructured mesh is mostly due to fundamental<br />

difference in efficiency of their representations. In Computer Graphics the gap in performance between 2D rectilinear grids<br />

<strong>and</strong> unstructured mesh has been overcome with the development of representation schemes based on the concept of<br />

subdivision surfaces. This gap has not been bridged in the volumetric cases which is fundamental interest for <strong>Scientific</strong><br />

Visualization. In this paper we introduce a slow-growing volumetric subdivision scheme for meshes of any topology, any<br />

intrinsic dimension <strong>and</strong> composed of a general type of polyhedral cells.<br />

NTIS<br />

Dimensions; Computer Graphics; Unstructured Grids (Mathematics); <strong>Scientific</strong> Visualization<br />

20040121129 George Mason Univ., Fairfax, VA, USA<br />

Joint Interdisciplinary Earth Science Information Center<br />

Kafatos, Menas; [2004]; 29 pp.; In English<br />

Contract(s)/Grant(s): NCC5-555; No Copyright; Avail: CASI; A03, Hardcopy<br />

The report spans the three year period beginning in June of 2001 <strong>and</strong> ending June of 2004. Joint Interdisciplinary Earth<br />

Science Information Center’s (JIESIC) primary purpose has been to carry out research in support of the Global Change Data<br />

Center <strong>and</strong> other Earth science laboratories at Goddard involved in Earth science, remote sensing <strong>and</strong> applications data <strong>and</strong><br />

information services. The purpose is to extend the usage of <strong>NASA</strong> Earth Observing System data, microwave data <strong>and</strong> other<br />

Earth observing data. JIESIC projects fall within the following categories: research <strong>and</strong> development; STW <strong>and</strong> WW<br />

prototyping; science data, information products <strong>and</strong> services; <strong>and</strong> science algorithm support. JIESIC facilitates extending the<br />

utility of <strong>NASA</strong>’s Earth System Enterprise (ESE) data, information products <strong>and</strong> services to better meet the science data <strong>and</strong><br />

information needs of a number of science <strong>and</strong> applications user communities, including domain users such as discipline Earth<br />

scientists, interdisciplinary Earth scientists, Earth science applications users <strong>and</strong> educators.<br />

Derived from text<br />

Earth Sciences; Information Systems; Remote Sensing; University Program<br />

232

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