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Spring 2022
Micron-size particle suspensions are very common in industrial processes such as mineral extraction and wastewater treatment. These particles are difficult to separate from the fluid media due to their size. The formation of aggregates increases the effective size of these particles, increasing...
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Fall 2015
2015 marks the 50th anniversary of Moore's law, which has described the exponential progress in semiconductor patterning technologies, enabling creation of smaller circuitry features at greater densities. These continued hardware developments, economically mass manufactured, have made possible...
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Spring 2012
The present study has focused on the effects of Powdered Activated Carbon (PAC) in fly ash on the air-entraining admixture demand and consequent properties of concrete. An extensive laboratory test program was completed during this investigation. Three series of mixes were designed to evaluate...
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Fall 2009
The analysis of wide-angle cellular light scattering patterns is a challenging problem. Small changes to the organization, orientation, shape, and optical properties of scatterers and scattering populations can significantly alter their complex two-dimensional scattering signatures. Because of...
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Spring 2011
Data based abnormality detection is a growing research field focussed on extracting information from feature rich data. They are considered to be non-intrusive and non-destructive in nature which gives them a clear advantage over conventional methods. In this study, we explore different streams...
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Development of a Novel Electro-thermal Anti-icing System for Fiber-reinforced Polymer Composite Airfoils
DownloadFall 2012
Given the trend towards expanded use of polymeric composites for wind turbine blades and aircrafts wing, icing of polymer composite airfoils is a challenge; this thesis is addressing this issue from a conceptual perspective. For the first time, the concept of embedded thermal elements as an...
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Fall 2013
High-dimensional biological data have been increasingly made available for tackling complex health problems. As with any Big Data opportunities, this has led to methodological challenges for extracting relevant information from such data, particularly in settings where biologically-sensible and...
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Fall 2012
Functional Magnetic Resonance Imaging (fMRI) measures the dynamic activity of each voxel of a brain. This dissertation addresses the challenge of learning a diagnostic classifier that uses a subject’s fMRI data to distinguish subjects with neuropsychiatric disorders from healthy controls. fMRI...
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Fall 2013
It is well known that most information of an image is contained in its edges. Therefore capturing edges in an image is of fundamental importance in image processing. Tensor product real-valued wavelets only capture edges along the horizontal and vertical direc- tions. Hence they are only...
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Estimation of relative transport properties of fuel cell and electrolyzer transport layers by pore network and continuum based direct simulations
DownloadSpring 2020
Improvements in the imaging techniques have enabled the capturing of images with high resolution, thereby permitting the reconstruction of complex porous media that can be analyzed by computer simulations. The two most popular methods for numerically analyzing transport in porous media are pore...