Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

You searched for +publisher:"Georgia Tech" +contributor:("Chau, Duen H."). One record found.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters

1. Cecen, Ahmet. Calculation, utilization, and inference of spatial statistics in practical spatio-temporal data.

Degree: PhD, Computational Science and Engineering, 2017, Georgia Tech

The direct influence of spatial and structural arrangement in various length scales to the performance characteristics of materials is a core premise of materials science. Spatial correlations in the form of n-point statistics have been shown to be very effective in robustly describing the structural features of a plethora of materials systems, with a high number of cases where the obtained futures were successfully used to establish highly accurate and precise relationships to performance measures and manufacturing parameters. This work addresses issues in calculation, representation, inference and utilization of spatial statistics under practical considerations to the materials researcher. Modifications are presented to the theory and algorithms of the existing convolution based computation framework in order to accommodate deformed, irregular, rotated, missing or degenerate data, with complex or non-probabilistic state definitions. Memory efficient personal computer oriented implementations are discussed for the extended framework. A universal microstructure generation framework with the ability to efficiently address a vast variety of geometric or statistical constraints including those imposed by spatial statistics is assembled while maintaining scalability, and compatibility with structure generators in literature. Advisors/Committee Members: Kalidindi, Surya R. (advisor), Song, Le (committee member), Garmestani, Hamid (committee member), Chau, Duen H. (committee member), Kang, Sung H. (committee member).

Subjects/Keywords: Materials; Informatics; Data science; Image processing; Spatial statistics; Texture synthesis; Microstructure generator

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Cecen, A. (2017). Calculation, utilization, and inference of spatial statistics in practical spatio-temporal data. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58723

Chicago Manual of Style (16th Edition):

Cecen, Ahmet. “Calculation, utilization, and inference of spatial statistics in practical spatio-temporal data.” 2017. Doctoral Dissertation, Georgia Tech. Accessed March 18, 2019. http://hdl.handle.net/1853/58723.

MLA Handbook (7th Edition):

Cecen, Ahmet. “Calculation, utilization, and inference of spatial statistics in practical spatio-temporal data.” 2017. Web. 18 Mar 2019.

Vancouver:

Cecen A. Calculation, utilization, and inference of spatial statistics in practical spatio-temporal data. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Mar 18]. Available from: http://hdl.handle.net/1853/58723.

Council of Science Editors:

Cecen A. Calculation, utilization, and inference of spatial statistics in practical spatio-temporal data. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/58723

.