07.02.2013 Views

Issue 10 Volume 41 May 16, 2003

Issue 10 Volume 41 May 16, 2003

Issue 10 Volume 41 May 16, 2003

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

<strong>2003</strong>0033022 Sandia National Labs., Albuquerque, NM<br />

Distributed Sensing & Cooperative Control for Plume Tracing<br />

Hurtado, John E.; Jan 2000; 4 pp.; In English<br />

Contract(s)/Grant(s): N00014-99-F-0086<br />

Report No.(s): AD-A4<strong>10</strong>645; No Copyright; Avail: CASI; A01, Hardcopy<br />

The objective of this proposed research was to apply distributed sensing and cooperative control algorithms developed<br />

by Sandia researchers (under separate DOE contracts) to the problem of chemical plume localization. The distributed sensing<br />

and cooperative control algorithms were tested against mathematically modeled simulated plumes and against real plume data.<br />

DTIC<br />

Plumes; Position (Location)<br />

<strong>2003</strong>0033043 Air Force Research Lab., Edwards AFB, CA, USA<br />

Development of SMART Layer Technology for Health Monitoring of Structures<br />

Kumar, Amrita; Beard, Shawn; June 05, 2001; 4 pp.; In English<br />

Contract(s)/Grant(s): F04611-00-C-0026; AF Proj. 3005<br />

Report No.(s): AD-A4<strong>10</strong>538; AFRL/PRS-ED-VG-2001-128; No Copyright; Avail: CASI; A01, Hardcopy<br />

No abstract available<br />

DTIC<br />

Systems Health Monitoring; Rocket Engines; Smart Structures; Technology Utilization<br />

<strong>2003</strong>0033051 ASRC Aerospace Corp., Greenbelt, MD, USA<br />

Jell-Molds and Cookie-cutters: Shrinkwrap Isn’t Just for Leftovers Anymore<br />

Randazzo, John; [<strong>2003</strong>]; <strong>10</strong> pp.; In English; Original contains black and white illustrations<br />

Contract(s)/Grant(s): NAS<strong>10</strong>-03006<br />

Report No.(s): KSC-<strong>2003</strong>-054; No Copyright; Avail: CASI; A02, Hardcopy<br />

So what is Shrinkwrap all about? For those of you who may not know about it, Shrinkwrap is a type of data structure<br />

that can manifest itself as a feature or model. It is cleverly covered up, almost hidden, and doesn’t get the press or widespread<br />

use of a solid or surface. The shrinkwrap feature is located under the data sharing submenu of the feature menu. The<br />

shrinkwrap feature, as described by PTC, is a collection of surfaces and datum features of a model that represents the exterior<br />

of the model . The advantages and applications of the shrinkwrap feature are in the creation of minimal memory guzzling<br />

representations of assemblies. These can be used to represent subassemblies in parent assemblies, and can handle control of<br />

dependency issues, geometry represented, and additional references through the use of the shrinkwrap feature options. The<br />

shrinkwrap model is an option available under the save as umbrella. Its function, as described by PTC, is to share data with<br />

internal and external design groups and improve performance in large assembly design . Some of the benefits of the shrinkwrap<br />

model include being able to represent complex assemblies with a single, lightweight part that protects design intent and<br />

parametric data, and the ability to improve performance of large assembly modeling in the area of less load time. The<br />

proper-scale models can be saved as IGES, STEP, and VRML (for fly-throughs).<br />

Derived from text<br />

Data Structures; Models; Computer Aided Design<br />

<strong>2003</strong>0033930 Pontifical Catholic Univ. of Puerto Rico, Ponce, Puerto Rico<br />

Computerized System to Aid Deaf Children in Speech Learning<br />

Riella, Rodrigo J.; Linarth, Andre G.; Lippman, Lourival, Jr.; Nohama, Percy; October 25, 2001; 5 pp.; In English; Original<br />

contains color illustrations<br />

Report No.(s): AD-A4<strong>10</strong>403; No Copyright; Avail: CASI; A01, Hardcopy<br />

This paper describes a voice analyzer, whose purpose is deaf children’s assistance in the process of speech learning. The<br />

processing of the user’s speech signal is performed in real time in order to get an instantaneous feedback of the result of speech<br />

training. The aim of this analyzer is not to find the distinction between spoken words, main objective of a speech recognizer<br />

but to calculate a level of correctness in the toggle of a specific word. Voice signal analysis was developed through a digital<br />

signal processor (DSP), applying spectral analysis processes, extraction of voice’s formants, adaptation of formants to the<br />

standard levels in domain of time and frequency and statistical matching of the acquired speech signal and the standard one,<br />

resulted from training. After calculating the correctness coefficient, the system goes off a visual feedback to the user in the<br />

<strong>16</strong>0

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!