We developed a tool that migrates the database schema and the data from one database to another. As DBMSs store the same data by using slightly different data types, one cannot simply copy all the tables and data from the source DBMS to the target DBMS. When our tool, db2db,...
One of the motives of China's Economic Reform is to bring Western
management techniques to China to further economic development. The miraculous
success of the Special Economic Zone (SEZ) in Shenzhen, Guangdong has attracted
many foreign investors who gladly bring their management expertise. This thesis looks
at small, medium and...
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...
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...
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...