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2007
Apprentices
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Back row, left to right: John Vineyard, Matt
Colley, Brian Li, Justin Janovsky, Jack Wimberley, Aaron Koranek,
Lauren Collins, Ashley Bowie, & Sarah Edwards
Front row, left to right: Frances Wu, Christina Pye, Amrita
Sen, Natalia Drosu, Vian Nguyen, Erin Boyle, Kriti Dhaubhadel,
and Lauryn McFarland, & Kapil Saxena (not pictured)
The winners of the poster
presentation are: Vian Nguyen, Jack Wimberley, and Ashley
Bowie.
Students comment about their
apprenticeship experience at Applied Research Laboratories.
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| APPLIED
RESEARCH LABORATORIES APPRENTICES |
| STUDENT |
HIGH
SCHOOL |
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Ashley Bowie |
Crockett High
School |
| Lauren Collins |
Bowie High School |
| Kriti Dhaubhadel |
Pflugerville
High School |
| Natalia Drosu |
Westwood High
School |
| Sarah Edwards |
Westwood High
School |
Justin Janovsky
|
Pflugerville
High School |
| Aaron Koranek |
Brazoswood High
School |
| Brian Li |
Westwood High
School |
| Lauryn McFarland |
Pflugerville
High School |
| Vian Nguyen |
Westwood High
School |
|
Christina Pye
|
Cinco Ranch
High School |
| Amrita
Sen |
Westwood
High School |
| John Vineyard |
Anderson High
School |
| INSTITUTE
FOR ADVANCED TECHNOLOGY APPRENTICES |
Erin Boyle
|
Pflugerville
High School |
| Matt
Colley |
Anderson High
School |
| Kapil
Saxena |
Anderson High
School |
| Jack
Wimberley |
Anderson High
School |
| Frances
Wu |
McNeil High
School |
The apprenticeship program provides recent high
school graduates with hands-on experience in a stimulating research
environment, providing them with an idea of what scientists and engineers
do in their chosen area of work. It is a competitive program for
graduating seniors of area high schools who plan to attend UT Austin.
Area high schools are notified of the program, and students who have
an interest in engineering, computer science, physics, and math are
invited to apply. U.S. citizenship is required.
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Summer
2007 Poster Presentation of Projects
First, Second, and Third Place Winners
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Presentation of Awards
From left: Dr. Michael Pestorius, ARL:UT Independent Research & Development
Coordinator; Christy Habecker, ARL:UT Educational Programs
Coordinator; Vian Nguyen, second place winner; Jack Wimberley,
first place winner; Ashley Bowie, third place winner; & Dr.
Clark Penrod, ARL:UT Executive Director
1st Place, Poster Presentation
Modeling and Study of Electromagnetic
Plate Launchers for Use as Armor
By Jack Wimberley
Anderson High School
Supervisors: Dr. Harry Fair & Dr. John Mallick; Institute
for Advanced Techonology
Abstract
Explosive-reactive armor (ERA) is effective against anti-tank
munitions, but cumbersome and heavy for lighter vehicles
such as personnel carriers. A possible replacement for ERA
with less bulk and nearly equal defensive capabilities is
electromagnetic armor (EMA). Such electromagnetic armor could
come in numerous configurations. In this paper, the feasibility
of a coil-plate transformer for use as EMA is studied through
analytical and numerical modeling and finite element simulation.
A functional such transformer is built and tested to evaluate
the various analyses.
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2nd Place, Poster Presentation
Modeling Acoustic Propagation
of Noise fromSurface Ships in a Deep Ocean Environment
By Vian Nguyen
Westwood High School
Supervisors: Jack Shooter and Dr. David Knobles, Environmental
Sciences Laboratory, ARL:UT
Abstract
In 1988 an experiment code named NORPAC was conducted
in the Philippine Sea. A vertical line array (VLA) of hydrophones
was deployed to record in part ambient noise below the critical
depth. The ambient noise included the received acoustic spectra
of ships that passed near the VLA. There are several unknown
properties about the experiment including the location of
the VLA, the sound speed profile (SSP), the properties of
the sea bed, and the tracks of the passing ships. With estimates
of the ship’s distance from the VLA, ship speed, intrinsic
geometry of the hydrophones on the VLA, and the geoacoustic
properties of the seabed; simulated low frequency and ranging
(LOFAR) grams of the noise are generated and compared with
those derived from the measured acoustic data. Adjustments
are made to the relative positions of the ships to the VLA,
the sound speed profile, and the geoacoustic profile until
the data and model comparison is optimized. This analysis
approach is a basic example of an inversion methodology that
can potentially be used to localize ships employing their
acoustic emissions.
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3rd Place, Poster
Presentation
The Effects of Varying Edge Information on Object
Recognition
By Ashley Bowie
Crockett High School
Supervisor: David Wick, Signal & Information Systems Laboratory,
ARL:UT
Abstract
Edge detection and object recognition
are imperative to many different technologies, and the biological
basis of these processes is integral to advancement of the
field itself. In this study an evaluation was made of human
capacity to recognize an object under altered conditions and
after computer processing. In a two part design, participants
were first asked to identify the outlines of common objects
in various states of completeness. It was then asked that participants
identify similar objects (in varying states of completeness)
after being filtered though a common edge detection program.
Preliminary results indicate object recognition requires a
surprisingly great majority of an object to be visible and
that the presence of subtle visual clues (e.g. shading, texture,
minor object details) increases the frequency of accurate identification
even under partial visibility.
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