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Scientific and Technical Aerospace Reports Volume 38 July 28, 2000

Scientific and Technical Aerospace Reports Volume 38 July 28, 2000

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<strong>2000</strong>0065648 Carnegie-Mellon Univ., School of Computer Science, Pittsburgh, PA USA<br />

Automated Formula Generation <strong>and</strong> Performance Learning for the FFT<br />

Singer, Bryan; Veloso, Manuela; Jan. <strong>2000</strong>; 15p; In English<br />

Contract(s)/Grant(s): DABT63-98-1-0004<br />

Report No.(s): AD-A377113; CMU-CS-00-123; No Copyright; Avail: CASI; A03, Hardcopy; A01, Microfiche<br />

A single signal processing algorithm can be represented by many different but mathematically equivalent formulas. When<br />

these formulas are implemented in actual code, they often have very different running times. Thus, an important problem is finding<br />

a formula that implements the signal processing algorithm as efficiently as possible. In this paper we present three major results<br />

toward this goal: (1) Different but mathematically equivalent formulas can be generated automatically in a principled way, (2)<br />

Simple features describing formulas can be used to distinguish formulas with significantly different running times, <strong>and</strong> (3) A function<br />

approximator can learn to accurately predict the running time of a formula given a limited set of training data.<br />

DTIC<br />

Fast Fourier Transformations; Signal Processing; Neural Nets; Machine Learning<br />

<strong>2000</strong>0065656 California Univ., Lawrence Berkeley Lab., Berkeley, CA USA<br />

NFRC spectral data library no. 4 for use with the WINDOW 4.1 computer program, Addendum 4<br />

Feb. <strong>28</strong>, 1997; 30p; In English<br />

Report No.(s): DE97-003943; LBL-35298-ADD.4; TA-315-ADD.4; No Copyright; Avail: Department of Energy Information<br />

Bridge<br />

This library update contains NFRC approved spectral data for the WINDOW analysis program. This information is an update<br />

to the spectral data library that is distributed with WINDOW 4.1 <strong>and</strong> supersedes the NFRC Spectral Data Library Update no. 3<br />

of April 1996. This library list contains only the NFRC approved files with their most recent ID numbers. Each user may configure<br />

their own library to include new NFRC approved data, previous WINDOW data <strong>and</strong> their own spectral data.<br />

NTIS<br />

Subroutine Libraries (Computers); Information Systems<br />

<strong>2000</strong>0066604 Building <strong>and</strong> Construction Research TNO, Centre for Mechanical Engineering, Delft, Netherl<strong>and</strong>s<br />

Evaluation of Computer Program TRAQUE, an Analytical Program to Calculate the Strength of Cross-Sections of a Ship<br />

Final Report<br />

Trouwborst, W., Building <strong>and</strong> Construction Research TNO, Netherl<strong>and</strong>s; Jan. 14, <strong>2000</strong>; 26p; In English<br />

Contract(s)/Grant(s): TNO Proj. 006.93207/01.01; A97/KM/143<br />

Report No.(s): TD-<strong>2000</strong>-0155; TNO-<strong>2000</strong>-CMC-R002; Copyright; Avail: Issuing Activity<br />

This report gives an evaluation of the computer program TRAQUE. Some example calculations are reported. TRAQUE uses<br />

analytical formulations for plasticity, buckling <strong>and</strong> postbuckling behaviour to calculate the deterministic strength of intact <strong>and</strong><br />

damaged cross-sections of a ship. It results in a curve giving the bending moment versus the curvature (sagging <strong>and</strong> hogging),<br />

including the part beyond the curvature corresponding with the maximum bending moment. Buckling of individual panels is<br />

allowed. It uses a very uncommon approach to model nonlinear phenomena as buckling <strong>and</strong> postbuckling behaviour. All nonlinear<br />

phenomena are incorporated within the stress-strain curves of the individual panels of a cross-section. Qualitatively the results<br />

correspond with physical insights.<br />

Author<br />

Buckling; Stress-Strain Relationships; Applications Programs (Computers); Mathematical Models; Plates (Structural Members)<br />

<strong>2000</strong>0066608 Physics <strong>and</strong> Electronics Lab. TNO, The Hague, Netherl<strong>and</strong>s<br />

Knowledge Management: Registration of Knowledge <strong>and</strong> Selection of Personnel, Phase 2 Final Report Kennismanagement:<br />

Kennisregistratie en Selectie van Personeel, Fase 2<br />

Aarts, M. F. A., Physics <strong>and</strong> Electronics Lab. TNO, Netherl<strong>and</strong>s; October 1999; 49p; In Dutch; Original contains color illustrations<br />

Contract(s)/Grant(s): A99/D/643; TNO Proj. <strong>28</strong>781<br />

Report No.(s): TD98-0252; FEL-99-A191; Copyright; Avail: Issuing Activity<br />

This report describes the results of the second phase of the TNO-FEL ’Knowledganizer’ project. The Knowledganizer is a<br />

TNO-FEL Intranet application used to list <strong>and</strong> find knowledge within the organization. Using a taxonomy of keywords, users can<br />

compose their own knowledge profiles <strong>and</strong> those of their documents <strong>and</strong> projects. Others can then use the same taxonomy to locate<br />

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