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,...
Previously, it has not been possible to obtain a concentrated ripe Bartlett pear essence. From studies of Bartlett pear aroma characteristics, it was found that methyl and ethyl decadienoates are the components contributing to the characteristic ripe Bartlett pear aroma. It was also found that only perfume-like aroma products, lacking...
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 production of barley (Hordeum vulgare L.) haploids by crossing with
H. bulbosum is a widely used tool in breeding and genetics. Certain barley
genotypes have low seed set in this interspecific cross, a phenomenon known
as partial incompatibility. Haploid production efficiency and gamete sampling
are important issues with the...
Djang et al. [1998] introduced a new model of types for declarative visual programming languages (VPLs). Implicit static typing is used in their type model, in order to eliminate the programming mechanisms associated with type declarations, provide immediate visual feedback with respect to type errors and guarantee type safe programs....
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...
The current study investigates gender differences in behavioral regulation in four societies: the United States, Taiwan, South Korea, and China. Directly assessed individual behavioral regulation(Head–Toes–Knees–Shoulders, HTKS), teacher-rated classroom behavioral regulation (Child Behavior Rating Scale, CBRS) and a battery of school readiness assessments (mathematics, vocabulary, and early literacy) were used with...
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...
This study sought to explore the relationship between spatial scale and canopy
chemistry through the use of remotely sensed videography data and total nitrogen content
of potato petioles. A range of broad band spectral indices were employed along with
standard red and green wavelengths to define an optimum scale or...
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...
Personal health monitoring tools, a subset of point-of care-diagnostics, enable more frequent testing of chronic health conditions outside of a clinic setting and can inform personalized therapy or support telehealth diagnostic capabilities. While there is evidence that regular monitoring of chronic conditions can lead to better health outcomes and lower...