Index Catalog // Hyrax

Investigating Time-Digital-Converters for Hardware Security in FPGAs

Creatore:: Lytikov, Daniil
Abstract:: In this comprehensive thesis, we present a series of experiments and findings that highlight the critical importance of TDC Voltage Sensors in the hardware security domain. Our research begins by introducing a novel self-calibrating module, demonstrating its efficiency through preliminary calibration tests. We then delve into the Peak-to-Peak tests, which...
Resource Type:: Masters Thesis

Sensorless Localization for Robots and Wheelchairs

Creatore:: Subramanian, Ashwin
Abstract:: Despite an increase in the number of people who rely on manual wheelchairs, there are still substantial economic barriers to affordable and accessible localization systems. As a result, there is a pressing need to build a versatile yet low cost localization system for manual wheelchairs. Such systems allow users to...
Resource Type:: Honors College Thesis

Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Augmentations

Creatore:: Aziere, Nicolas
Abstract:: This paper addresses the high model complexity and overconfident frame labeling of state-of-the-art (SOTA) action segmenters. Their complexity is typically justified by the need to sequentially refine action segmentation through multiple stages of a deep architecture. However, this multistage refinement does not take into account uncertainty of frame labeling predicted...
Resource Type:: Dissertation

Determination of magnetoelastic parameters in magnetic thin films from FMR spectra

Creatore:: Masood, Khalid I.
Abstract:: The ferromagnetic resonance (FMR) phenomenon serves as a sensitive probe of the effective internal fields in a magnetic material. FMR spectroscopy has consequently become a well-established technique, extensively employed in assessing material properties such as magnetic anisotropy, Landé g-factor, damping parameter, and the magnetoelastic constants of magnetic materials. Determining these...
Resource Type:: Dissertation

Supporting merge comprehension when resolving merge conflicts

Creatore:: Nelson, Nicholas
Abstract:: Distributed version control allows developers to manage software evolution among distributed development teams. But it does not eliminate all consistency and concurrency issues, and instead introduces additional complexity when merging code. And resolving merge conflicts is nontrivial when automated merging fails. In such cases, developers are forced to inspect the...
Resource Type:: Dissertation

On a Topological Criterion for the Construction of Higher Arity Metrics

Creatore:: Barkan, Willow
Abstract:: Metric spaces (X, d) are ubiquitous objects in mathematics and computer science that are able to capture pairwise distance relationships d(x, y) between points x, y ∈ X. Because of this, it is natural to ask what useful generalizations there are of metric spaces for capturing “k-wise distance relationships” d(x1,...
Resource Type:: Masters Thesis

Improving User Mental Models of XAI Systems with Inclusive Design Approaches

Creatore:: Hamid, Md Montaser
Abstract:: Explainable Artificial Intelligence (XAI) systems aim to improve users’ understanding of AI but rarely consider the inclusivity aspects of XAI. Without inclusive approaches, improving explanations might not work well for everyone. This study investigates leveraging users’ diverse problem-solving styles as an inclusive strategy to fix an XAI prototype, with the...
Resource Type:: Masters Thesis

Engineering Student Perspectives of a New Required Programming Course

Creatore:: Garcia Ramirez, Jessica
Abstract:: We present student perceptions of a new first-year engineering programming class that was designed by informed research practices. While the College of Engineering at Oregon State University saw a lot of major switching in the first year, there were not many students switching into computer science (CS). This could have...
Resource Type:: Masters Thesis

A Deep Learning and Image Processing Pipeline for Object Characterization in Firm Operations

Creatore:: Aghasi, Allreza, Ral, Arun, and Xla, Yusen
Abstract:: Given the abundance of images related to operations that are being captured and stored, it behooves firms to innovate systems using image processing to improve operational performance that refers to any activity that can save labor cost. In this paper, we use deep learning techniques, combined with classic image/signal processing...
Resource Type:: Article

Modeling of Wave Energy Converter via Instantaneous Frequency

Creatore:: Kim, Inyong
Abstract:: A multidisciplinary perspective is necessitated for the analysis of wave energy conversion systems, spanning hydrodynamics, mechanics, electric power, and control systems. The complexity inherent in these scientific domains poses challenges for unified analysis. This paper addresses these challenges by connecting various domains through the application of circuit theory, characterizing the...
Resource Type:: Masters Thesis

Hyrax

Investigating Time-Digital-Converters for Hardware Security in FPGAs

Sensorless Localization for Robots and Wheelchairs

Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Augmentations

Determination of magnetoelastic parameters in magnetic thin films from FMR spectra

Supporting merge comprehension when resolving merge conflicts

On a Topological Criterion for the Construction of Higher Arity Metrics

Improving User Mental Models of XAI Systems with Inclusive Design Approaches

Engineering Student Perspectives of a New Required Programming Course

A Deep Learning and Image Processing Pipeline for Object Characterization in Firm Operations

Modeling of Wave Energy Converter via Instantaneous Frequency

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