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NASA Scientific and Technical Aerospace Reports

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when the CAD entity can be mapped to a logical rectangle. Watertightness <strong>and</strong> geometric quality measures are maintained <strong>and</strong><br />

are consistent with the CAPRI default tessellator. These triangulations can match user specified criteria for chord-height<br />

tolerance, neighbor triangle dihedral angle, <strong>and</strong> maximum triangle side length. This discrete representation has hooks back to<br />

the owning geometry <strong>and</strong> therefore can be used in conjunction with these entities to allow for easy enhancement or<br />

modification of the tessellation suitable for grid generation or other downstream applications.<br />

Author<br />

Triangulation; Computer Aided Design<br />

62<br />

COMPUTER SYSTEMS<br />

Includes computer networks <strong>and</strong> distributed processing systems. For information systems see 82 Documentation <strong>and</strong> Information<br />

Science. For computer systems applied to specific applications, see the associated category.<br />

20040045291 <strong>NASA</strong> Ames Research Center, Moffett Field, CA, USA<br />

Use of the SCIRun PSE for Coupled Fluid-Structure Analysis<br />

Cheung, Christopher; Guruswamy, Guru P.; December 15, 2003; 12 pp.; In English; Eleventh Conference on Parallel<br />

Processing for <strong>Scientific</strong> Computing, February 2004, San Francisco, CA, USA; No Copyright; Avail: CASI; A03, Hardcopy<br />

The objective of this paper is to investigate the use of Problem Solving Environments (PSE) for tightly coupled<br />

fluid-structure control analysis of aerospace vehicles. The topics include: 1) Background; 2) The SCIRun PSE; 3) Projects<br />

Done with SCIRun; 4) Research Procedures; 5) Installtion; 6) Installation Problems on NAS; 7) Module Development; 8)<br />

Module Testing Framework; 9) Time Testing of SCIRun; <strong>and</strong> 10) Time Test Results. This paper is in viewgraph form.<br />

CASI<br />

Problem Solving; Programming Environments; Computerized Simulation; Supercomputers; Fluid Dynamics<br />

20040046139 QSS Group, Inc., Moffett Field, CA, USA<br />

Adding Assurance to Automatically Generated Code<br />

Denney, Ewen; Fischer, Bernd; Schumann, Johann; [2004]; 3 pp.; In English; High Assurance Systems Engineering 2, 2 Mar.<br />

2004, Tampa, FL, USA; No Copyright; Avail: CASI; A01, Hardcopy<br />

Code to estimate position <strong>and</strong> attitude of a spacecraft or aircraft belongs to the most safety-critical parts of flight software.<br />

The complex underlying mathematics <strong>and</strong> abundance of design details make it error-prone <strong>and</strong> reliable implementations costly.<br />

AutoFilter is a program synthesis tool for the automatic generation of state estimation code from compact specifications. It<br />

can automatically produce additional safety certificates which formally guarantee that each generated program individually<br />

satisfies a set of important safety policies. These safety policies (e.g.. array-bounds, variable initialization) form a core of<br />

properties which are essential for high-assurance software. Here we describe the AutoFilter system <strong>and</strong> its certificate generator<br />

<strong>and</strong> compare our approach to the static analysis tool PolySpace.<br />

Author<br />

Automatic Control; State Estimation; Network Synthesis; Computer Systems Programs; Satellite Attitude Control;<br />

Architecture (Computers)<br />

20040050168 Lawrence Livermore National Lab., Livermore, CA<br />

Performance of Neural Networks Methods in Intrusion Detection<br />

Dao, V. N. P.; Vemuri, R.; Jul. 09, 2001; 12 pp.; In English<br />

Report No.(s): DE2004-15005778; UCRL-JC-144473; No Copyright; Avail: Department of Energy Information Bridge<br />

By accurately profiling the users via their unique attributes, it is possible to view the intrusion detection problem as a<br />

classification of authorized users <strong>and</strong> intruders. This paper demonstrates that artificial neural network (ANN) techniques can<br />

be used to solve this classification problem. Furthermore, the paper compares the performance of three neural networks<br />

methods in classifying authorized users <strong>and</strong> intruders using synthetically generated data. The three methods are the gradient<br />

descent back propagation (BP) with momentum, the conjugate gradient BP, <strong>and</strong> the quasi-Newton BP.<br />

NTIS<br />

Neural Nets; Performance; Intrusion Detection (Computers)<br />

161

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