This thesis presents a novel design for a rheometer style viscometer by implementing high temperature and inert atmospheric requirements on the device. The goals of this device are to measure the viscosity of high temperature molten salts, which are corrosive and extremely hydroscopic. It also aims to be able to...
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...
Frost injury is one of the major factors limiting potato production in many parts
of the world. It would be desirable to transfer the frost-tolerance traits from the hardy
relatives to the cultivated potato, however, progress has been very slow. Since Solanum
commersonii has been the major source of frost...
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...
Urban green space is associated with multiple physical and mental health outcomes. Several benefits of green space, such as stress reduction and attention restoration, are dependent on visual perception of green space exposures. However, traditional green space exposure measures do not capture street-level exposures. In this project, we apply deep...
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...
High Performance Computing can find ubiquitous applications in the industry. HPC-applications are specifically designed to take advantage of the parallel nature of the computing systems which is often enabled by Multi-core/Many-core architectures. With this advent of Multi-processors in the mainstream systems, inter-core communication has been one of the major challenges...
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...