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...
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...
The Machine Learning (ML) algorithms are increasingly explored in varies of fields including designing and optimizing computer systems. Recent research, such as optimizing memory/cache prefetching by ML training or predicting traffic pattern in throughput processors, also exhibits a promising future of introducing ML into computer system design and optimization. Throughput...
The purpose of the present study was to determine consumer perceptions of apparel products in Internet shopping. According to the existing literature, four categories of perceptions play primary roles for apparel shopping consumer decisions: apparel appearance, apparel comfort, fabric characteristics, and apparel fit. The present study aimed to observe how...
In recent years, RF (Radio Frequency) device fingerprinting using deep learning has emerged as a method of identifying devices solely by their RF transmissions. Conventional approaches to this type of device fingerprinting are not portable to different domains. That is, if a model for this purpose is trained on data...
Traditional bus-based interconnects are simple and easy to implement, but the scalability is greatly limited. While router-based networks-on-chip (NoCs) offer superior scalability, they also incur significant power and area overhead due to complex router structures. In this thesis, a new class of on-chip networks, referred to as Routerless (RL) NoCs,...
Remote health monitoring tools have significant potential to revolutionize the current healthcare paradigm. Such tools could improve efficiencies in healthcare by alerting patients and doctors to abnormal health conditions in real time, shortening the time to diagnose and treat ailments. To meet these needs, we pursue the development of fabric-based...
Transmit beamforming is an important technique employed to improve efficiency and signal quality in wireless communication systems by steering signals towards their in- tended users. It often arises jointly with the antenna selection problem due to various reasons, such as limited number of radio frequency (RF) chains and energy/resource effi-...
Phenylketonuria (PKU) is a genetic inborn metabolic disorder which inhibits the functional production of the enzyme phenylalanine hydroxylase (PAH). It currently affects one in 15,000 Americans and is the most common amino acid metabolism error found in newborns. Individuals affected with PKU are incapable of metabolizing the amino acid, phenylalanine...