Analysis of Segmented Spatial Distributions

Together with my PhD student Young Kim, I have explored how to deduce from spatially distributed moving point sets information relevant to situation awareness. A technology assessment of techniques from computational geometry has been augmented with new concepts responsive to customer requirements....

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Bibliographic Details
Other Authors: PURDUE UNIV RESEARCH FOUNDATION LAFAYETTE IN DIV OF SPONSORED PROGRAMS
Format: Text
Language:English
Published: 2003
Subjects:
Numerical Mathematics
Theoretical Mathematics
Operations Research
Computer Programming and Software
*COMPUTERIZED SIMULATION
*SPATIAL DISTRIBUTION
*PROBLEM SOLVING
*GEOMETRY
*SET THEORY
*SITUATIONAL AWARENESS
DATA BASES
COMPUTATIONS
DAMAGE ASSESSMENT
IMAGES
SEGMENTED
POINTS(MATHEMATICS)
DOMESTIC TERRORISM
*POINT SETS
*COMPUTATIONAL GEOMETRY
PENTAGON ATTACK
MOVING POINTS
IMAGE ANALYSIS
DATA STRUCTURES
CONFOCAL IMAGING
DATA SETS
sami
Online Access:http://www.dtic.mil/docs/citations/ADA416077
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA416077
Description
Summary:Together with my PhD student Young Kim, I have explored how to deduce from spatially distributed moving point sets information relevant to situation awareness. A technology assessment of techniques from computational geometry has been augmented with new concepts responsive to customer requirements. The computed information has been presented in a pre-attentive manner to aid rapid comprehension. In collaboration with Sami Kilic, visiting scientist, and Mete Sozen, Prof. of Civil Engr, I have completed a simulation study of the 9/11 Pentagon attack. Sozen is member of the Damage Assessment team organized by ASCE, and my work is included in the official report. See http://www.cs.purdue.edu/homes/cmh/simulation. Additional findings in the more general setting of computational geometry include an investigation of the practical utility of kinetic data structures, a concept developed by Guibas and Basch at Stanford, and significant advances in geometric constraint solving, a key technology for positioning and moving geometric entities based on constraints. There has also been work on extracting geomtric information from confocal microscopy images.

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