LOUIS University of Alabama in Huntsville
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Alan Turing: A Marginalized Icon in Early Computing
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Margaret Flamsteed: Wife, Hostess, and Astronomer
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Spectral deconvolution using machine learning for determining material compositions in mixed samples
No full textHyperspectral unmixing is essential in determining material compositions in mixed samples with a larger number of endmembers, but achieving precise decom- position remains challenging due to the limited work done, the presence of spectral variability, and endmember complexities. This study proposes many machine learning methods and techniques to identify the material composition in mixed samples (composites). Other methods to solve this problem mainly focus on a very small number of endmembers; our approach works with many end members, improving the model’s robustness. The proposed methods effectively tackle spectral variability, high dimensionality, and the presence of similar endmembers by integrating a multilayer perceptron model with Fast Fourier Transform feature extraction of the derivatives features, an original sampling technique, and a weighted loss function. The findings illustrate the robustness of the model in different datasets with the importance of using synthetic and real data for training the underlying models. The results show that the proposed methods improve the performance, with applications to material characterization and land cover mapping
The design, implementation, and evaluation of a hybrid sensemaking tool combining traditional physical devices with augmented reality
Get PDFThis thesis is about our work integrating traditional devices, for example, mobile and stationary displays, into an augmented reality (AR) tool for analyzing data during sensemaking tasks. We create a framework for breaking down analysis tasks into three steps. Using our framework we design and implement the AR bulletin board (ARBB).We conduct a user study to evaluate ARBB, using the results and user feedback to create design implications. Our study supports that having a physical device helps users complete interactions faster, and users are more likely to use the tools during sensemaking to create more complex organizations
Black Arrow: How Does a Country Create then Lose Orbital Rocket Capability?
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Phylogeography, speciation, and cryptic diversity in the cave springtail Pseudosinella spinosa (Entomobryomorpha: Entomobryidae) from the Interior Low Plateau and Appalachian Valley & Ridge karst regions
Get PDFCaves offer a unique opportunity to study the ecology and evolution of life in extreme environments, particularly with respect to understanding patterns of diversity. Most cave-obligate species are dispersal limited and have restricted ranges, often endemic to a single or a few cave systems. However, a few species have particularly broad distributions suggesting that they either are not dispersal limited or perhaps represent a species complex of morphological similar but genetically distinct species. In this thesis, I explore morphological variation, phylogeography, and possibly cryptic diversity in Pseudosinella spinosa, a cave collembolan (springtail) that inhabits the Interior Low Plateau and Appalachian Valley & Ridge karst regions of the eastern United States. I conducted morphological and molecular analyses on over 50 individuals from 22 caves. I examined molecular diversity and conducted species delimitation analyses using two mitochondrial loci (16S and COI). I found support for two primary genetically distinct clades loosely breaking up their range into a northern and a southern clade. Various species delimitation approaches identified 3 to 28 potential unique lineages depending on the dataset (16S, COI, and concatenated 16S+COI). Moreover, morphological analysis revealed morphological variation in the species’ labial triangle supporting two morphologically distinct groups. In total, evidence suggests that P. spinosa is a species complex; however, species boundaries are still not well understood requiring additional sampling as well as morphological and molecular investigation
Culinary Bridges: Food, Identity, and Integration Among German Rocket Wives
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What I\u27m going to need you to do is… Analyzing Teacher Talk to Improve Accessibilty
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Computational Modeling of Resilience, Failure, and Repair of Microreactor Networks
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