Index Catalog // ScholarsArchive@OSU

On a Topological Criterion for the Construction of Higher Arity Metrics

Creator:: 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

Creator:: 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

Creator:: 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

Systematic Codes for Correcting Deletion/Insertion of One Zero in Each and Every Bucket of Zeros

Creator:: Vu, Hoang
Abstract:: In this thesis, we propose a systematic code for correcting t = 1 insertion/deletion errors of the character ”0” that can occur between any two consecutive 1’s in a binary string. The code requires balanced input strings, where each word of length n contains ⌈n/2⌉ 0’s and ⌊n/2⌋ 1’s. This...
Resource Type:: Masters Thesis

SocioEconomicMag Meets a Platform for SES-Diverse College Students: A Case Study

Creator:: Agarwal, Puja
Abstract:: Emerging research shows that individual differences in how people use technology sometimes cluster by socioeconomic status (SES) and that when technology is not socioeconomically inclusive, low-SES individuals may abandon it. To understand how to improve technology’s SES-inclusivity, we present a multi-phase case study on SocioEconomicMag (SESMag), an emerging inspection method...
Resource Type:: Masters Thesis

Staying Consistent: Discipline-Specific Language Used in Introductory CS Curricula

Creator:: Weber, Jason
Abstract:: The understanding of Discipline-Specific Language is an important competency for students of any field to begin mastering early in their studies, since it serves as a prerequisite for both the analysis of expert text and precise communication. Therefore, an introductory curriculum should pay careful attention to how it incorporates, defines,...
Resource Type:: Masters Thesis

Applying the Technology Acceptance Model to Understand the Intention to Use a CS-based Curriculum

Creator:: Gupta, Ayushi
Abstract:: In the ever-evolving field of computer science (CS) education, the significance of teachers and their backgrounds have often been overshadowed by the predominant focus on students. Teachers in the K-12 often lack the necessary expertise and have limited support provided by existing CS-based curricula. While research on CS education effectiveness...
Resource Type:: Masters Thesis

Partitioning-Guided K-Means for Effective Empty Cluster Resolution in Extreme Model Compression

Creator:: Huang, Tianhong
Abstract:: Compactness in deep learning can be critical to a model’s viability in low-resource applications, and a common approach to extreme model compression is quantization. We consider Iterative Product Quantization (iPQ) with Quant-Noise [Fan et al., 2020] to be state-of-the-art in this area, but this quantization framework suffers from preventable inference...
Resource Type:: Masters Thesis

Awgsome Fault Injection: In-Depth Analysis of Waveform Generation for Voltage Glitches

Creator:: Lyakhov, Stanislav
Abstract:: Voltage fault injection is a technique to disrupt power supply, such that the data or instruction flow in a microcontroller can be modified. Recently, a new class of voltage glitches was introduced termed arbitrary wave voltage glitches. Despite its demonstrated success in practical studies it comes with additional challenges, such...
Resource Type:: Masters Thesis

HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication

Creator:: Puppo, Luke
Abstract:: New capabilities in wireless network security are now possible through deep learning, which can identify and leverage patterns in radio frequency (RF) data. One area of deep learning, known as open set detection, is focused on detecting data instances from new devices encountered during deployment that were not previously seen...
Resource Type:: Masters Thesis

Poisoning machine learning models to increase membership inference risks

Creator:: Le, Hoang
Abstract:: Deep learning is now being utilized widely in applications where sensitive data is being used for model training, for example, in health care. In this scenario, any data leakage will cause privacy concerns to whose data records are used to train the model. An attacker can actively cause privacy leakage...
Resource Type:: Masters Thesis

Graph Imitation Learning for Optimal Joint Beamforming and Antenna Selection

Creator:: Shrestha, Sagar
Abstract:: 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-...
Resource Type:: Masters Thesis

Atomic Bifurcations of Degenerate Curves in 3D Linear Symmetric Tensor Fields

Creator:: Hongyu, Nie
Abstract:: Tensor field topology is of importance to research areas of medicine, science, and engineering. Degenerate curves are one of the crucial topological features that provide valuable insights for tensor field visualization. In this thesis, we study the atomic bifurcations of degenerate curves in 3D linear second-order symmetric tensor fields, and...
Resource Type:: Masters Thesis

Individual Fairness Optimization in Machine Learning with Minimax Loss and an Abstain Option

Creator:: Behnoudfar, Ali
Abstract:: In this thesis, a new learning algorithm is introduced that is targeted towards individual fairness. In order to be individually fair, mispredictions need to be avoided as each such prediction means the learning algorithm was unfair towards some individual. Therefore, achieving individual fairness implies having a perfect classifier, which is...
Resource Type:: Masters Thesis

Window Axial Vision Transformer for Image Classification

Creator:: Lee, Jisoo
Abstract:: Currently, a popular approach to image classification uses the deep Transformer architecture. In a Transformer, the attention mechanism enables the model to learn efficiently with fewer computational resources than the convolutional neural networks (CNNs). In this thesis, we study the sparse attention mechanism widely used in the Transformers developed specifically...
Resource Type:: Masters Thesis

Guided Translation of Algorithmic Notation into Functional Programs

Creator:: Fedorin, Danila
Abstract:: The use of board games for teaching introductory computer science is a promising recent avenue of research. The goal is to introduce computing concepts through their use in the implementations of simple games, thereby keeping students engaged through their learning process. However, there is a gap between students' algorithmic descriptions...
Resource Type:: Masters Thesis

Automatic Classification of Ultrasonic Harbor Porpoise Clicks in a Varying Noise Environment

Creator:: De Leon, Daniel
Abstract:: This study compares three approaches in the design of an autonomous machine listening agent that predicts harbor porpoise ultrasonic echolocation clicks in diverse noise environments. Considering the temporal variations of noisy coastal ocean soundscapes which the harbor porpoises inhabit, we propose a leave-one-day-out (LODO) cross-validation strategy in the training of...
Resource Type:: Masters Thesis

The Familiarity Hypothesis: Explaining the Behavior of Deep Learning Methods in Out-of-Distribution Detection

Creator:: Guyer, Alexander
Abstract:: Many object recognition applications require detecting and responding to objects drawn from a different distribution from that of the training data. This task is referred to as out-of-distribution (OOD) detection, and it is often formulated as an outlier detection problem wherein the probability distribution of the known data P(X) is...
Resource Type:: Masters Thesis

The ChildsPlay Approach: Evaluating an Experimental Approach for Teaching Introductory CS at University

Creator:: Nelson, Aiden J.
Abstract:: University students first learning about computer science (CS) can be intimidated and frustrated by programming. In addition, the general-purpose programming languages chosen for introducing students to programming contain several features that have the potential to overwhelm and distract them from focused curriculum topics, which can lead to reduced retention of...
Resource Type:: Masters Thesis

How Should A Deaf Car Drive?

Creator:: Grant, Denue, Jr.
Abstract:: This thesis seeks to determine whether a self-driving car's behavior should depend on the hearing status of its passengers: namely, hard-of-hearing (including deaf) or hearing. It is believed that auditory deprivation provokes adaptations in visual attention. These adaptations may lead to atypical movement patterns that can translate to different driving...
Resource Type:: Masters Thesis

Towards the Design and Evaluation of Effective Educational Virtual Reality Applications

Creator:: Rangarajan, Vaishnavi
Abstract:: With the rapid advancement of educational technology and the need for personalized, engaging content to accommodate diverse learning needs, Virtual Reality (VR) holds promises for the present and future. However, VR applications suffer from challenges, including usability concerns, lack of pedagogical value, and evaluation standards. This thesis focuses on two...
Resource Type:: Masters Thesis

Relational Learning over Dirty Data Using Data Constraints

Creator:: Lee, Ga Young
Abstract:: Real-world datasets are dirty and contain many errors. Examples of these issues are violations of integrity constraints, duplicates, and inconsistencies in representing data values and entities. Applying machine learning on dirty databases may lead to inaccurate results. Users have to spend a lot of time and effort repairing data errors...
Resource Type:: Masters Thesis

Optimizing Interconnection Topology using Deep Reinforcement Learning

Creator:: Zeng, Kai
Abstract:: As the number of nodes in high-performance computing (HPC) systems continues to grow, it becomes increasingly important to design scalable interconnection network topologies. Prior work has shown promise in adding random shortcuts on top of an existing topology to reduce average hop count and network diameter, but has been limited...
Resource Type:: Masters Thesis

Delay-Aware Resource Management Frameworks for Intelligent Vehicular Networks

Creator:: Almasari, Shahad A.
Abstract:: Autonomous vehicles bring great societal benefits but also potential impact and disruption to road safety, traffic congestion, and driving behaviors. One important technology that is indispensable to the success of such systems is vehicular networks. Vehicular networks provide the backbone for ensuring communication and connectivity among vehicles, all crucial to...
Resource Type:: Masters Thesis

Identifying Design Discussion Topics in Open Source Software

Creator:: Chatterjee, Amreeta
Abstract:: When contributing to a software system, developers need to understand the rationale for previous design decisions so that they can adhere to the system’s design. Not doing so can lead to erosion of the overall design quality of the system. However, discussions embedded in a large volume of communication on...
Resource Type:: Masters Thesis

Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

Creator:: Desai, Saurabh Satish
Abstract:: Top-performing approaches to embodied AI tasks like point-goal navigation often rely on training agents via reinforcement learning over tens of millions (or even billions) of experiential steps – learning neural agents that map directly from visual observations to actions. In this work, we question whether these extreme training durations are...
Resource Type:: Masters Thesis

Resource-Aware Distributed Data Sanitization for Privacy Preserving Machine Learning

Creator:: Anand, Yashwanthi
Abstract:: When a single object is captured by multiple edge devices, the data captured by every edge device could contain both public and private information. The private information in every copy of the data captured has to be preserved while the public information has to be utilized for any further machine...
Resource Type:: Masters Thesis

Infant Hand Detection and Tracking

Creator:: Mishra, Shridhar
Abstract:: Hand detection is a fundamental step for many hand-related computer vision tasks, such as gesture recognition, hand pose estimation, hand sign language translation, and so on. However, robustly detecting hands is a challenging task because of drastic changes in appearance based on finger articulation and changes in lighting conditions, camera...
Resource Type:: Masters Thesis

Customizable Visual Traces for Program Explanations

Creator:: Bajaj, Divya
Abstract:: Correctness and efficiency are important properties of programs. However, to support maintenance and debugging, the programs should also be understandable. Program explanations also play a vital role in educational settings, enhancing the understanding of programs among students. Proof trees provide a sound basis for generating dynamic explanations of programs. But...
Resource Type:: Masters Thesis

Learning to Estimate Multi-Relation Aggregation Functions

Creator:: Jadhav, Rashmi Suresh
Abstract:: Multi-relation aggregation queries process the join operator before computing the aggregation function. This join is arguably the most costly operation since traditional join algorithms spend majority of their time trying to join the parts of the relations that do not generate any output tuples. This causes slow response times with...
Resource Type:: Masters Thesis

Adaptive Movement Intent Decoding for Intuitive Control of Neuroprostheses

Creator:: George, Damon A.
Abstract:: Movement intent decoders, which interpret volitional movement intent from human bioelectric signals, can be incorporated into modern neuroprostheses to offer people living with limb loss or paralysis the potential to regain their lost motor control. Machine learning methods have become the research standard for continuous decoders with high degrees of...
Resource Type:: Masters Thesis

Local and Global Explanations for Deep Image Classification via Structured Attention Graphs

Creator:: Shitole, Vivswan
Abstract:: Attention maps are popular tools of explaining the decisions of convolutional neural net-works (CNNs) for image classification. Typically, for each image of interest, a single attention map is produced, which assigns weights to pixels based on their importance to the classification. We argue that a single attention map provides an...
Resource Type:: Masters Thesis

The Symbioses of Oblivious Random Access Memory and Trusted Execution Environments

Creator:: Rahal-Arabi, Hadi
Abstract:: In recent years, Oblivious Random Access Memory (ORAM) controllers in Trusted Execution Environments (TEEs) have become a popular area of investigation, as coresident trusted systems allow for significantly more efficient oblivious execution. Further, in the case of Intel architectures, oblivious execution effectively eliminates the majority of confidentiality leakage holes in...
Resource Type:: Masters Thesis

An Approach to Help End Users Become Aware of Privacy Risks in Home Automation

Creator:: Caglar, Turgay
Abstract:: Smart home devices, such as voice assistants, smart lights, and smart video doorbells have become a part of end users' daily lives. Many of these devices combine their features with other services and smart devices to create a simple and efficient user experience. This is partly because of the contribution...
Resource Type:: Masters Thesis

Assessing and Finding Faults in AI: Two Empirical Studies

Creator:: Khanna, Roli
Abstract:: With the advent of Artificial Intelligence (AI) in every sphere of life in today's day and age, it has become increasingly important for non-AI experts to be able to comprehend the underlying logic of how AI systems work, assess them and find faults in these systems, particularly when they are...
Resource Type:: Masters Thesis

Exploitation and Mitigation of CPU Vulnerabilities

Creator:: Mestas, Phillip O., III
Abstract:: AMD SEV allows for the creation of fully encrypted virtual machines. This allows cloud computing tenants’ data to be secret to the cloud computing provider. However, it has been shown that the encryption scheme used by AMD can easily be broken. The attacker can create a copy of the virtual...
Resource Type:: Masters Thesis

Re-understanding Finite-State Representations of Recurrent Policy Networks

Creator:: Danesh, Mohamad H.
Abstract:: We propose an approach for understanding control policies represented as recurrent neural networks. Recent work has approached this problem by transforming such recurrent policy networks into finite-state machines (FSM) and then analyzing the equivalent minimized FSM. While this led to interesting insights, the minimization process can obscure a deeper understanding...
Resource Type:: Masters Thesis

A Distributed Scheme for Accelerating and Scaling PSPNet

Creator:: Krishna, Ajay
Abstract:: Advances in deep learning based image processing have led to their adoption for a wide range of applications, and in tow with these developments is a dramatic increase in the availability of high quality datasets. With this comes the need to accelerate and scale deep learning applications in order to...
Resource Type:: Masters Thesis

Structuring Teachable Knowledge through Program-Concept Classifications

Creator:: Wilson, Benjamin F.
Abstract:: Teaching CS is a challenging task, especially for those without prior programming experience. Even for veteran educators, having to learn CS concepts while also trying to teach those same concepts is difficult; as is the case for many K-12 CS instructors. Unfortunately, there is often no formalized order with CS...
Resource Type:: Masters Thesis

Modeling Human Learning of Data Quality Rules

Creator:: Habibelahian, Omeed A.
Abstract:: The process of cleaning data is quite laborious and can be complicated by the presence of inconsistencies and other issues in the data, leading many data scientists to utilize interactive data cleaning software. However, many current state-of-the-art cleaning solutions fail to account for the reality that the human needs to...
Resource Type:: Masters Thesis

Peak Shaving in Data Centers with Deep Reinforcement Learning

Creator:: Adhikari, Aashish
Abstract:: Data centers have seen a rapid growth in recent years as the technology industry is relying more on cloud services. In effect, data centers are paying millions of US $ in energy costs. Several strategies have been proposed to lower the total energy cost at data centers- task migration, server...
Resource Type:: Masters Thesis

Dimensionality Reduction Techniques for Compositional Data : An Empirical Study

Creator:: George, Rogen
Abstract:: Compositional data is a type of data where the features are non-negative and always sum to a constant. This type of data is frequently encountered in many ﬁelds such as microbiology, geology, economics and natural language processing. Compositional data has unique statistical properties that makes it difficult to apply standard...
Resource Type:: Masters Thesis

Kalman Filter Tracking for an FSO Communication System based on Dynamic Beam Steering and Shaping

Creator:: Bouchard, Luc F.
Abstract:: We present a theoretical free-space optical (FSO) transmitter that utilizes a dynamically steered and shaped laser beam to communicate with a randomly moving receiver adorned with a retroreflector. The transmitter tracks the receiver's position by repeatedly scanning the field of view (FOV), measuring reflections from the retroreflector, and estimating the...
Resource Type:: Masters Thesis

Computing Bounded Chains and Surfaces in a Simplicial Complex with Bounded-treewidth 1-skeleton

Creator:: Black, Mitchell
Abstract:: We consider three problems on simplicial complexes: the Optimal Bounded Chain Problem, the Optimal Homologous Chain Problem, and 2-Dim-Bounded-Surface. The Optimal Bounded Chain Problem asks to find the minimum weight d-chain in a simplicial complex K bounded by a given (d−1)-chain, if such a d-chain exists. The Optimal Homologous Chain...
Resource Type:: Masters Thesis

Deep Segmentation in Plant Phenomics

Creator:: Kaur, Damanpreet
Abstract:: 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...
Resource Type:: Masters Thesis

Formal Verification of the Variational Database Management System

Creator:: Khan, Fariba
Abstract:: Variation in data is abundant and ubiquitous in real-world applications. Managing variation in databases is, however, difficult and has been extensively studied by the database community. Schema evolution, data integration, and database versioning are examples of well-studied forms of database variation with effective context-specific solutions. However, variation appears in different...
Resource Type:: Masters Thesis

Adversarial Attacks in Natural Language Question-Answering

Creator:: Rahurkar, Prachi S.
Abstract:: Question Answering in natural language processing has achieved significant progress in recent years. Yet, training and testing set methodology to evaluate the language models has proved inadequate. Adversarial examples aid us in finding loopholes inside these models and provide insights into their inner workings. In this work, an evaluation based...
Resource Type:: Masters Thesis

Fourier Analysis of Temporal Logic

Creator:: Basnet, Niraj
Abstract:: Signal Temporal logic(STL) provides a convenient framework to describe various system properties over time. While there has been extensive research on verification and control synthesis from STL requirements, a lot of them revolve around the time-domain analysis. So, there are still some questions properly unaddressed like what is the frequency...
Resource Type:: Masters Thesis

The Analysis of Peer Reviews among First-year Computer Science College Students

Creator:: Song, Yipeng
Abstract:: In computer science, peer review, also referred to as code review, is known to be an efficient technique to ensure quality when developing software projects in various industries. Peer review is one method for encouraging computer scientists benefit from each other by providing them with the opportunity to evaluate other...
Resource Type:: Masters Thesis

Evaluating the Effects of Multiple Environmental Stressors on the Gulf of Alaska Pacific Cod Fishery Using a Dynamic Stress-Scape Framework

Creator:: Blaisdell, Josiah
Abstract:: The Gulf of Alaska (GOA) is home to the most productive fisheries in the world. In 2019, 2.2 million metric tons of fish were shipped from Alaska to destinations all over the world (NOAA Fisheries, 2019). From 2014-2016 and, more recently, in 2019 the largest heatwaves in recorded history caused...
Resource Type:: Masters Thesis

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