School of Engineering & Computer Science: Recent submissions
Now showing items 1-20 of 264
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Unsupervised representational learning of hierarchical graphs with graph convolutional networks.
(2021-04-30)Interpretation of functional genomic data attempts to correlate gene and protein expression with phenotype. While direct analysis of gene relationships associated with phenotype manifestation provides reasonable correlations, ... -
Improving the quality of proton CT scan images by utilizing straggling power.
(2021-04-27)Proton therapy has grown in interest within the medical community for its promise in cancer treatment. Proton CT (pCT) scans are an essential part of this process to map treatment areas, but a common problem is the lack ... -
Evaluating a commercially available, immersive virtual reality system for measuring common lower body rehabilitation motions.
(2021-05-04)Lower body rehabilitation has been marked by qualitative assessments and observations. Quantitative measuring devices often present a financial burden that many clinics cannot overcome. Virtual Reality (VR) systems offer ... -
Design and demonstration of an optical cavity-based biosensor using three wavelengths to improve fabrication tolerance.
(2021-05-01)As diseases and cancers progress, the chances of survival depreciate; early detection is vital for improving success rates. Despite dedicated research, diagnosis has remained static—initial consultation, scanning, and then ... -
Numerical and theoretical study of natural oscillations of supported drops with free and pinned contact lines.
(2021-04-19)The oscillation of drops supported by solid surfaces is important to a wide variety of applications, such as dropwise condensation. Identification of the natural frequencies of supported drops of different sizes and liquids ... -
Electric vehicle powertrain design with battery swapping and vehicle to grid implementation.
(2021-03-31)Described in this work are methodologies for the design and development of electric vehicle (EV) powertrains through modeling, simulation and validation on a real-world systems, with detailed analysis of results. A system ... -
Design, simulation, construction, and measurement testing of fast-reconfigurable radio frequency switched-stub matching networks.
(2021-04-21)Today’s world is increasingly dependent on wireless communications, and fifth generation (5G) cellular technologies have recently entered the picture. Part of their designated spectrum overlaps with that of S-band radar ... -
Impact of MHD-E3 on power system equipment and loads.
(2021-03-25)The detonation of a nuclear weapon in the Earth’s upper atmosphere will cause a variety of electromagnetic disturbances at the Earth’s surface. One of these disturbances – the magnetohydrodynamic late-time or MHD-E3 pulse ... -
Assessing precision and application of marker placement device to enhance motion capture studies.
(2020-11-13)Motion capture has become an important clinical tool used in applications of therapy and treatment plans as well as surgical evaluations. However, due to factors such as human error, having multiple examiners, and using ... -
Stochastic computing & stochastic resonance in digital & analog neuromorphic systems.
(2020-11-17)Stochastic computing is an alternative method to standard deterministic methods. This thesis explores stochastic resonance in a spiking neuron, and leverages the effects it has to implement stochastic computing in an analog ... -
Aerodynamic and aeroacoustic design of small unmanned aircraft system propellers at low Reynolds numbers.
(2020-11-19)The Small Unmanned Aircraft System (sUAS) has become an overwhelmingly important asset for military intelligence, surveillance, and reconnaissance in addition to a multitude of needs in the commercial industry. More research ... -
Evaluation of structural behavior using constituent material properties and finite element analysis for large format fiber reinforced composites made from recycled polymers.
(2020-12-03)Recycling of polymers is of great interest to society with industry and government focusing on new applications to reduce waste generation. Most polymers have low modulus and strength compared to metals, and based on the ... -
Artificial materials and the Zenneck surface wave.
(2020-11-23)Spatial control of electromagnetic energy has, and will continue to be, one of the preeminent factors in any electromagnetic design. This control is made possible by energy storage, which in turn comes about as a result ... -
Development of an optical cavity-based biosensor for point-of-care diagnostics.
(2020-11-02)An optical cavity-based biosensor (OCB) has been developed using a differential detection method towards point-of-care (POC) diagnostic applications. The optical cavity consisting of two partially reflective surfaces with ... -
Ideation, validity, and practicality of using virtual reality to conduct the Wolf Motor Function Test for upper limb stroke patients.
(2020-11-13)In this study, 11 subjects between the ages of 19 and 35 years old performed tasks selected from the official Wolf Motor Function Test (WMFT) – Hand to Table, Hand to Box, and Lift Can. Subjects performed the tasks in ... -
Investigating the impact of interacting with real world objects in virtual environments.
(2020-11-19)Virtual reality (VR) systems allow users to be fully immersed in a virtual world. Incorporating physical objects such as stairs in to virtual reality could provide better immersion and create new uses for these systems. ... -
Convection measurements in scale models of additively manufactured turbine blade cooling passages.
(2020-11-12)High pressure gas-turbine blades and components are typically constructed with interior cooling air passages. Additive manufacturing processes, such as direct metal laser sintering (DMLS), enable creation of novel turbine ... -
Tyro : a first step towards automatically generating parallel programs from sequential programs.
(2020-11-03)Currently, MapReduce is used as the standard for automatic parallelization of programs. However, MapReduce restricts programs to a simple framework with limited parallelism but still requires the user to understand parallelism ... -
Optimizing k-means clustering using mini-batches and distance bounds.
(2020-10-22)Clustering is a crucial branch of machine learning that groups the input data into different clusters based on the features of the data without the training label. K-means clustering is a widely used iterative clustering ... -
Deep learning methods in molecule design for drug discovery.
(2020-10-22)In the recent ten years, Deep Learning has undergone rapid development. It has been proved by countless success in different areas. Computer vision projects apply convolution neural networks to extract images' features. ...