The world's oceans contain tremendous renewable energy potentials. It is estimated that if 0.2% of the ocean's untapped energy could be harnessed, it could provide power sufficient for the entire world [1]. This thesis provides a comprehensive description of the state-of-the-art of ocean energy extraction technologies and lessons learned from...
The quality of a digital image pipeline relies greatly on its color reproduction which should at a minimum handle the color constancy, and the final judgment of the excellence of the pipeline is made through subjective observations by humans.
This dissertation addresses a few topics surrounding the color processing of...
In the 21st century, environmental deterioration is now an indisputable fact. Reliable and economically viable electricity systems based on renewable sources are urgently needed to replace the environmentally detrimental fossil fuels. The feasibility of incorporating renewable-but-intermittent solar and wind energy heavily depends on the development of cost-effective and safe technologies,...
Recent efforts show that microchannel technologies have much to offer the field of nanomanufacturing: the structuring of matter on the order of one billionth of a meter. During the synthesis of nanomaterials, microchannel reactors take advantage of large surface-to-volume ratios to accelerate heat and mass transport. This accelerated transport allows...
A method for preferred color reproduction with a psychophysical study based upon a real-life scene demonstrated application is presented. A color correction matrix optimization algorithm is first introduced which applies additional hue constraints on top of the CIE delta E magnitude error to emphasize the importance of hue in the...
Automatic painterly rendering systems have been proposed but they opted for selecting a single style to generate paintings from images, which lacks the ability of creatively using multiple styles to focus important objects and deemphasize unimportant part of the scenes. We provide a multi-style painting framework to
address this issue...
The paper reports on a large-scale demand model for recreational fishing in Michigan. The model is based on the travel cost method and is specified as a four-level nested-logit. Seasonal participation is modeled by repeating the site choice logit over the course of a season. Data on anglers' trips and...
Cerium oxide nanoparticles were continuously
precipitated from a solution of cerium(III) nitrate and ammonium
hydroxide using a static microchannel T-mixer. Tmixer
synthesis results were compared with synthesis results
from batch precipitation. Findings show that the method of
mixing is important in the ceria precipitation process. Uniform
porous film structures and...
This research looks at the use of PowerPoint as an instructional tool for teaching English language learners (ELL) who studied in a language program at a state university in the Pacific Northwest. The purpose of the research was to discover and to explore the perceptions of PowerPoint supported teaching and...
Oral administration is the most practical way of vaccination of fish. It has advantages over intraperitoneal injection and immersion methods that include no stressful handling, no interference with routine fish husbandry and antigens can be delivered to the fish in their feed.
An oral antigen delivery system was developed for...
The Line Integral Convolution (LIC) is a mainstay of flow visualization. It is, however, computationally intensive, which limits its interactivity. Also, when used to view three-dimensional (3D) vector fields, the resulting images are dense and cluttered, making it difficult to perceive the flow on the interior parts of the field....
In this dissertation, we address action segmentation in videos under limited supervision. The goal of action segmentation is to predict an action class for each frame of a video. The limited supervision means ground truth labels of video frames are not available in training. We focus on three types of...
Recognizing human actions in videos is a long-standing problem in computer vision with a wide range of applications including video surveillance, content retrieval, and sports analysis. This thesis focuses on addressing efficiency and robustness of video classification in unconstrained real-world settings. The thesis work can be broadly divided into four...
The thermal degradation of structural materials is considered to be a key factor for evaluating the lifetime of current nuclear power plants. Ni-based and Fe-based alloys, such as 690, 625, 304, and 316, are widely used in nuclear industry as structural components due to the extraordinary corrosion resistance and mechanical...
In recently years, the finance sector had focused their attention on commerce operation in China.When fisheries farmers decide to increase invent to promote production, they also can't get enough loans because aquaculture is a highest risk sector in agriculture and the commercial banks would prefer others sector in agriculture to...
This dissertation explores mathematical theory of the 3 dimensional incompressible Navier-Stokes equations that consists a set of partial differential equations which govern the motion of Newtonian fluids and can be seen as Newton's second law of motion for fluids. The main interest of this work focuses on how local perturbation...
The upper reach of the Hutuo River flows along the Xin-Ding basin and cuts a transverse drainage
through Xizhou Mountain and Taihang Range into the North China Plain. Previous studies showed
that the Xin-Ding basin was occupied by a lake during the Early-Middle Pleistocene. However,
the timing of the paleolake...
Fusarium proliferatum is a fungus found in soils which produces the mycotoxin group known as fumonisins. Of human concern due to hepato-, nephro- and neurotoxicity, the threat of fumonisins lies within several food items, including corn, wheat sorghum, asparagus and, more recently, garlic. Manifesting as ““garlic rot”,” F. proliferatum infection...
Now in its 10th year, the Gramene database (http://www.gramene.org) has grown from its primary focus on rice, the first fully-sequenced grass genome, to become a resource for major model and crop plants including Arabidopsis, Brachypodium, maize, sorghum, poplar and grape in addition to several species of rice. Gramene began with...
Labeling videos is costly, time-consuming and tedious. These costs can escalate in applications such as medical diagnosis or autonomous driving where we need domain expertise for annotation. Few-shot action recognition aims to solve this problem by annotation-efficient learning mechanisms.
This thesis presents MetaUVFS as the first Unsupervised Meta-learning algorithm for...
The European hazelnut (Corylus avellana L.) is a tree nut crop that is important in Oregon, which produces 99% of the United States’ hazelnuts but only 5% of the world’s supply. In order to maintain this market share, farmers in Oregon need cultivars that produce high quality nuts, mature early,...
While monocytes are vital for host defense against pathogens, in cases of non-resolving inflammation, monocytes and their differentiated progeny can secrete tissue-damaging factors, present auto-antigens, and promote the inflammatory response. In this study, a systems biology approach was used to map human monocyte gene regulatory regions by integrating expression quantitative...
While monocytes are vital for host defense against pathogens, in cases of non-resolving inflammation, monocytes and their differentiated progeny can secrete tissue-damaging factors, present auto-antigens, and promote the inflammatory response. In this study, a systems biology approach was used to map human monocyte gene regulatory regions by integrating expression quantitative...
We explore selected aspects of J.-Y. Parlange’s contributions to hydrological transport of solutes and sediments, including both the laboratory and field scales. At the laboratory scale, he provided numerous approximations for solute transport accounting for effects of boundary conditions, linear and nonlinear reactions, and means to determine relevant parameters. Theory...
Modular construction is increasingly seen as an efficient construction method in terms of time, cost, and energy. The full realization of these advantages partly relies on the efficiency of the production process inside the modular factories, which currently rely on tedious manual monitoring methods or expensive automated techniques. As a...
A framework for understanding the synthesis and catalysis of metabolites and other biochemicals by proteins is crucial for unraveling the physiology of cells. To create such a framework for Zea mays L. subsp. mays (maize), we developed MaizeCyc, a metabolic network of enzyme catalysts, proteins, carbohydrates, lipids, amino acids, secondary...
Gramene (http://www.gramene.org) is a curated
online resource for comparative functional
genomics in crops and model plant species, currently
hosting 27 fully and 10 partially sequenced
reference genomes in its build number 38. Its
strength derives from the application of a phylogenetic
framework for genome comparison and the
use of ontologies...
Bimetallic catalysis is a promising way to tune the catalytic properties of heterogeneous catalysts. In particular, bimetallic catalysts are extensively used to enhance the selectivity of monometallic catalysts in a variety of contexts, from oxidation catalysis to oxygenate coupling. In this work, we investigate PdxCuy/SiO2 and PdxAgy/SiO2 catalysts in the...
Gramene (http://www.gramene.org) is an online resource for comparative functional genomics in crops and model plant species. Its two main frameworks are genomes (collaboration with Ensembl Plants) and pathways (The Plant Reactome and archival BioCyc databases). Since our last NAR update, the database website adopted a new Drupal management platform. The...
Full Text:
-Vidal,A., Heng,L., Durbin,R. and
Birney,E. (2009) EnsemblCompara GeneTrees: complete,
duplication-aware
Dense electrical recording of biosignals has been developed to provide spatial resolution and precise temporal information for health monitoring, diagnostics, and clinical research. However, more electrodes require more wires, and wiring density quickly becomes a limiting factor. To break this bottleneck, we proposed a frequency-division multiplexing (FDM) based architecture for...
The advent of deep learning models leads to a substantial improvement in a wide range of NLP tasks, achieving state-of-art performances without any hand-crafted features. However, training deep models requires a massive amount of labeled data. Labeling new data as a new task or domain emerges consumes time and efforts...
Information about named entities (real-world objects) is usually harvested from different sources and organized as a multiple relational directed graph in Knowledge Bases (KBs). KBs play essential roles in many NLP modules including question answering, fact-checking, search engines, etc. KBs are big but still incomplete: relational information among entities is...
Movement pattern detection can be applied in a variety of applications such as assisting independent living of seniors at home, behaviour understanding in surveillance systems, sports analytics, and robotics. This project develops a scheme that fuses information from different sensors to detect movement patterns. This report contains three main parts:...
Excess fatty acids and sterols are stored as triacylglycerols and sterol esters in
specialized cellular organelles, called lipid droplets. Understanding what determines the cellular
amount of neutral lipids and their packaging into lipid droplets is of fundamental and
applied interest. Using two species of fission yeast, we show that cycling...
Narratives are central to communication and the human experience. For a computer system to understand a narrative, it must be able to identify the key facts or plot elements that describe what happened or how the world has changed. These element are called events;establishing a document’s events and the relationships...
Back pain is the leading cause of disability worldwide, entailing a significant socioeconomic impact. A primary source of back pain can be attributed to intervertebral disc (IVD) degeneration allowing nerve ingrowth, facet joint arthritis, disc bulging, and osteophyte formations that press on nearby nerve roots or the spinal cord. While...
In this dissertation, the primary objective is to discover more sustainable electrode materials and study new reaction mechanisms using aqueous electrolytes. The first study conducted reveals a reversible conversion reaction from copper to Cu2CO3(OH)2. The reaction mechanism uses OH- and CO32- as charge carriers at the cathode. The results open...
Heatmap regression has became one of the mainstream approaches to localize facial landmarks. As Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) are becoming popular in solving computer vision tasks, extensive research has been done on these architectures. However, the loss function for heatmap regression is rarely studied. In...
Unlike other biosensing, electrochemical biosensor has the advantages of robustness, easy miniaturization, excellent detection limits, and capability in handling small analyte volumes. The detection selectivity of the electrochemical biosensors is mainly supported by bioreceptors. However, these receptors always suffer from the performance variation caused by the environment and the thermal-...
Traditional localization techniques rely on triangulation or trilateration, where in a set of three or more stationary known locations is used to estimate a “client” position. For inertial navigation, these techniques can estimate client positions merely using the measured data from tri-axial accelerometers and gyroscopes. However, the use of double...
The continued long-term use of fossil fuels as a primary energy source has resulted in dramatic increases in greenhouse gas emissions and the associated concerns of climate change and environmental pollution. A key strategy to circumvent these issues is a global shift away from fossil fuels toward renewable energy sources....
The demand for the development of sustainable energy is an all time high as we burn through limited fossil fuel reserves and as environmental concerns rise every year. Renewable energy sources such as wind and solar power have limitations due to inconsistent power supply that cannot meet the regular needs...
We are witnessing the rise of the data-driven science paradigm, in which massive amounts of data - much of it collected as a side-effect of ordinary human activity - can be analyzed to make sense of the data and to make useful predictions. To fully realize the promise of this...
With the growing demand for portable/consumer electronics, such as digital
audio/video (AV), the downscaling of device dimensions, which enables the
integration of an increasing number of transistors in a single chip, is mandatory.
This trend also continuously pushes the power supply voltage down to reduce the
power consumption and improve...
The design of mobile wireless devices has always focused on reducing power, area, and cost. This dissertation proposes two techniques that are leveraged to save power and area and therefore cost. The first techniques reduces the noise in the receiver and results in a relaxed power requirement. The second technique...
Multiple drug resistance (MDR) Tuberculosis (TB), leads to increased use of “second-line” drugs; one of the most effective is ethionamide (ETA). ETA is a prodrug metabolized by a mycobacterial flavin-containing monooxygenase (EtaA) as well human flavin-containing monooxygenases (FMOs). Of the five functional FMOs of humans, FMOs 1, 2, and 3...
The abilities of plant biologists to characterize the genetic basis of physiological traits are limited by their abilities to obtain quantitative data representing precise details of trait variation and mainly to collect this data on a high-throughput scale at low cost. Deep learning-based methods have demonstrated unprecedented potential to automate...