skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A thesis on the Development of an Automated SWIFT Edge Detection Algorithm

Abstract

Throughout the world, scientists and engineers such as those at Los Alamos National Laboratory, perform research and testing unique only to applications aimed towards advancing technology, and understanding the nature of materials. With this testing, comes a need for advanced methods of data acquisition and most importantly, a means of analyzing and extracting the necessary information from such acquired data. In this thesis, I aim to produce an automated method implementing advanced image processing techniques and tools to analyze SWIFT image datasets for Detonator Technology at Los Alamos National Laboratory. Such an effective method for edge detection and point extraction can prove to be advantageous in analyzing such unique datasets and provide for consistency in producing results.

Authors:
 [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1296634
Report Number(s):
LA-UR-16-25721
DOE Contract Number:
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Trujillo, Christopher J. A thesis on the Development of an Automated SWIFT Edge Detection Algorithm. United States: N. p., 2016. Web. doi:10.2172/1296634.
Trujillo, Christopher J. A thesis on the Development of an Automated SWIFT Edge Detection Algorithm. United States. doi:10.2172/1296634.
Trujillo, Christopher J. 2016. "A thesis on the Development of an Automated SWIFT Edge Detection Algorithm". United States. doi:10.2172/1296634. https://www.osti.gov/servlets/purl/1296634.
@article{osti_1296634,
title = {A thesis on the Development of an Automated SWIFT Edge Detection Algorithm},
author = {Trujillo, Christopher J.},
abstractNote = {Throughout the world, scientists and engineers such as those at Los Alamos National Laboratory, perform research and testing unique only to applications aimed towards advancing technology, and understanding the nature of materials. With this testing, comes a need for advanced methods of data acquisition and most importantly, a means of analyzing and extracting the necessary information from such acquired data. In this thesis, I aim to produce an automated method implementing advanced image processing techniques and tools to analyze SWIFT image datasets for Detonator Technology at Los Alamos National Laboratory. Such an effective method for edge detection and point extraction can prove to be advantageous in analyzing such unique datasets and provide for consistency in producing results.},
doi = {10.2172/1296634},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 7
}

Technical Report:

Save / Share:
  • There is an observed variation in body wave magnitude of approximately + or - 0.2 units for explosions in different areas of Yucca Flat, NV. The variation appears to correlate with the Cenozoic basin structure at Yucca Flat. The basin has been modeled geophysically by Ferguson (unpublished manuscript). In this study it is hypothesized that the variation in m sub b is caused by scattering or resonance effects within the local geologic structure. This conjecture has been investigated by computation of synthetic teleseismic P-wave amplitude responses for the Yucca Flat geophysical mode. The tech. due to Aki and Larner wasmore » used. Good quantitative agreement with observations was found.« less
  • Physiological response monitoring equipment for automatic duress detection is being developed and evaluated in an attempt to improve the reliability of the human element in security systems. This report details an in depth study of the physiological analysis problems inherent in the development of a system which will automatically detect abnormally high psychological stress levels in unconstrained security personnel. The reliabilities and practicalities of a number of human physiological responses as relatively unique indicators of controlled psychological stress/duress have been thoroughly examined and evaluated; test data has demonstrated the feasibility of detecting high psychological stress levels of subjects in amore » laboratory environment through physiological data monitoring. The practicality of transducing and telemetering the necessary physiological data has been studied and, in conjunction with the above results, should provide a firm basis for ensuing system development. The use of tape recorders will avoid the expense involved in the development of bodyworn electronic and telemetry systems and will allow data collection to begin while automated data reduction and analysis microcomputer software is being developed.« less
  • This project was focused on developing and testing automated routines for a microfluidic Pathogen Detection System. The basic pathogen detection routine has three primary components; cell concentration, DNA amplification, and detection. In cell concentration, magnetic beads are held in a flow cell by an electromagnet. Sample liquid is passed through the flow cell and bacterial cells attach to the beads. These beads are then released into a small volume of fluid and delivered to the peltier device for cell lysis and DNA amplification. The cells are lysed during initial heating in the peltier device, and the released DNA is amplifiedmore » using polymerase chain reaction (PCR) or strand displacement amplification (SDA). Once amplified, the DNA is then delivered to a laser induced fluorescence detection unit in which the sample is detected. These three components create a flexible platform that can be used for pathogen detection in liquid and sediment samples. Future developments of the system will include on-line DNA detection during DNA amplification and improved capture and release methods for the magnetic beads during cell concentration.« less
  • This report documents the development, testing and field validation of the integrated AFDD and advanced rooftop unit (RTU) controls using a single controller in buildings.
  • This study showed that remote analysis of heart rate has potential as an effective means for automatic detection of stress in guards. The analysis of the data suggests that a heart rate greater than either CHR (criterion heart rate) + 20% (as established in the exercise test) or 150 bpm is the best criterion for initial establishment of alarm criteria.