Solanum species differ in their degree of frost tolerance and cold acclimation capacity. Cultivated potato species of Solanum tuberosum L. are frost-sensitive, incapable of cold acclimation, and have a maximum freezing tolerance of –3°C. Solanum commersonii Dun is frost-tolerant and can survive to –5ºC pre-acclimation and –10ºC post-acclimation. Breeding attempts...
The appropriate use of disaggregated economic data not only improves the accuracy and robustness of economic analyses, but also extends the existing economic models to address new aspects of the issue. This dissertation consists of three essays: two essays use disaggregated economic-engineering data to address spatial heterogeneity in economic losses...
The ongoing climate change has impacted the lives and livelihoods of people. A climate-related disaster acts as an exogenous shock to the economy that can have lingering effects over a larger region even if all the locations are not directly affected. Climate-related disasters do not follow the administrative boundaries. So,...
County governments in the United States play important roles in the tax collection and public service provisions. Thus, a better understanding of the local government finances is closely related to the welfares of residents. In this dissertation, I provide two essays: in the first essay, I examine the fiscal impacts...
In this dissertation, we investigate three numerical methods for inverting the Laplace transform. These methods are all based on the trapezoidal-type approximations to the Bromwich integral. The first method is the direct integration method: It is a straightforward application of the trapezoidal rule to the Bromwich integral, followed by convergence...
Machine learning has enabled significant advancements in diverse fields, yet, with a few exceptions, has had limited impact on computer architecture. Recent work, however, has begun to explore broader application to design, optimization, and simulation. Notably, machine-learning-based strategies often surpass prior state-of-the-art analytical, heuristic, and human-expert approaches. This thesis first...
Machine learning applied to computer architecture has rapidly transitioned from a theoretical novelty to being a driving force behind design, control, and simulation in practically all components. These machine-learning-based methodologies are further notable for their scalability to increasingly complex design challenges, which has allowed these methodologies to surpass the prior...
Advances in deep learning based image processing have led to their adoption for a wide range of applications, and in tow with these developments is a dramatic increase in the availability of high quality datasets. With this comes the need to accelerate and scale deep learning applications in order to...
Nanoscale Instrumented Indentation Testing (IIT) is a material characterization technique that is used to determine mechanical properties. The size effects present at this scale make it difficult to expand findings to a bulk scale. Modeling can be used to bridge this gap and better understand nanoscale IIT and the size...
Data centers have seen a rapid growth in recent years as the technology industry is relying more on cloud services. In effect, data centers are paying millions of US $ in energy costs. Several strategies have been proposed to lower the total energy cost at data centers- task migration, server...