Title: Morphometrics for Early Warning
Author(s): James L. Farrell
Abstract: Shapes in two or three dimensional (2-D or 3-D) space offer vital insights. Structures change shape before collapsing. Earthquakes are preceded by shifts in relative locations of monitoring stations. Genetic abnormalities can be detected and quantified by comparing arrays of physical landmarks recognizable by specialists in anatomy. All of these applications (plus various others) can benefit from linear analysis of shapes, with 3-D capability feasible only through a very recent development. Two of the areas mentioned (medical imaging and earthquake warning) have support from results with real-world data, and the other (infrastructure collapse) is preventable via detection from repetitive computation applied to measurements strategically placed (and already existing in many locations). The purpose of this presentation is to raise awareness of an opportunity, recognized by only a handful of individuals, to save lives while also guiding remedial action. Decisions to intervene before potential disaster can apply to earthquakes (evacuation advisories) or failing structures (knowing whether reinforcement is needed and, if so, where).
Published in: Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017)
September 25 - 29, 2017
Oregon Convention Center
Portland, Oregon
Pages: 1328 - 1332
Cite this article: Farrell, James L., "Morphometrics for Early Warning," Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017), Portland, Oregon, September 2017, pp. 1328-1332.
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