Matching Items (2)
Description
This paper examines the development of United States drone policy outside of traditional battle zones. It poses the question of why do states use drones as a projection of force? In particular, the paper examines the expansion of the drone program within a system of democratic checks and balances. It looks at the effect that political and legal influences have had on the expansion of the drone program and hypothesizes that the presence of these constraints should increase drone use outside of traditional battle zones. In order to investigate this hypothesis, the paper looks at data on drone strikes from Yemen and Somalia. The data partially supports the hypothesis as there has not been a clear linear increase in the number of drone strikes in each of these countries. Nevertheless, an examination of the surrounding literature regarding political and legal influences within these countries seems to favorably point to the increase of drone operations. Future research, however, needs to be cognizant of the limitations in gathering specific statistics on drone operations as these operations are covert. It's also important to understand how the covert nature of the drone operations impacts issues regarding political oversight and legality. Lastly, it's important to constantly examine the broader implications drone policy has for US policy.
ContributorsRajan, Rohit Subramaniam (Author) / Wright, Thorin (Thesis director) / Rothenberg, Daniel (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor) / School of Politics and Global Studies (Contributor)
Created2015-05
Description
Hyperspectral imaging is a novel technology which allows for the collection of reflectance spectra of a sample in-situ and at a distance. A rapidly developing technology, hyperspectral imaging has been of particular interest in the field of art characterization, authentication, and conservation as it avoids the pitfalls of traditional characterization techniques and allows for the rapid and wide collection of data never before possible. It is hypothesized that by combining the power of hyperspectral imaging with machine learning, a new framework for the in-situ and automated characterization and authentication of artworks can be developed. This project, using the CMYK set of inks, began the preliminary development of such a framework. It was found that hyperspectral imaging and machine learning as a combination show significant potential as an avenue for art authentication, though further progress and research is needed to match the reliability of status quo techniques.
ContributorsChowdhury, Tanzil Aziz (Author) / Newman, Nathan (Thesis director) / Tongay, Sefaattin (Committee member) / School of Politics and Global Studies (Contributor) / Materials Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05