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Articles 1 - 16 of 16
Full-Text Articles in Physical Sciences and Mathematics
Increasing The Effectiveness Of Impossible Spaces In Virtual Environments Using Moving Textures, Dylan Devenny
Increasing The Effectiveness Of Impossible Spaces In Virtual Environments Using Moving Textures, Dylan Devenny
Honors Theses
This study looks to examine a method of overcoming the limitations caused by the size of a physical tracking area in virtual reality environments known as impossible spaces and attempt to improve its efficiency by altering the texture flow of the virtual environment. The experiment involves running participants through a series of small buildings consisting of two rooms in which the percentage of overlap between the two rooms and the ratio of texture movement to user movement (corresponding to textural ow conditions) differs from trial to trial and asking participants to make a judgement of whether or not the environment …
Indoor Localization Using A Smartphone: Approaches, Issues, And Challenges, Lee J. Easson
Indoor Localization Using A Smartphone: Approaches, Issues, And Challenges, Lee J. Easson
Honors Theses
Localization has gained priority in an increasingly inter-connected world. The majority of industries and sectors require some means of tracking the location of objects and/or people anywhere on the Earth, whether indoors or outdoors. GPS is an already-implemented and viable solution for outdoor localization. However, indoor localization is more challenging to implement and thus has become a broad area of research. Despite the challenges of tracking location in places where satellite GPS signals are unreliable or unreachable (i.e. within a building or structure), there has been considerable progress made in indoor localization research. Although current indoor localization technology can achieve …
Effects Of Halogen Bonding On 13c Nmr Shifts Of Iodotolan, James Long
Effects Of Halogen Bonding On 13c Nmr Shifts Of Iodotolan, James Long
Honors Theses
Halogen bonding is the ability of heavier halogens to have noncovalent interactions similar to hydrogen bonding. By mixing two compounds that should halogen bond together and analyzing this mixture with carbon NMR spectroscopy, we attempted to test the strength and extent of halogen bonding in 4-iodotolan. After observing the changes in the 4-iodotolans chemical shifts, the halogen bond appears to be too weak to affect the chemical shifts in a substantial manner; however, the C-I bonded carbon shows a slight but consistent increase in its shift which could be an avenue for future research.
Understanding Juuling Trends Among Differing Age And Gender Demographics Through Social Sensing, Thomas Mcfann
Understanding Juuling Trends Among Differing Age And Gender Demographics Through Social Sensing, Thomas Mcfann
Honors Theses
Middle schoolers, high schoolers, and college students have increasingly begun using the Juul, which is a type of e-cigarette. In fact, in 2017 a study showed that “2.1 million high schoolers and middle schoolers used e-cigarettes” (Richtel and Kaplan, 2018). The reason why my research specifically addresses the Juul is that it “is now the largest e-cigarette brand measured by retail sales companies” (Huang et al., 2018b). Studies have been done to show the short time it takes for a child to lose autonomy over tobacco use, ranging from 2 to 30 days of first inhaling a cigarette (DiFranza et …
#Whyididntreport: Using Social Media As A Tool To Understand Why Sexual Assault Victims Do Not Report, Abby Garrett
#Whyididntreport: Using Social Media As A Tool To Understand Why Sexual Assault Victims Do Not Report, Abby Garrett
Honors Theses
Sexual assault has gone largely under-reported, and social media movements, like #WhyIDidntReport, have brought great awareness to this issue. In order to take advantage of the large amounts of data the #WhyIDidntReport movement has generated, the study uses tweets to explore reasons why victims do not report their assault. The thesis cites current research on the topic of assault to generate a list of explanations victims use to describe their lack of reporting and compares the distributions with existing studies. We use a supervised learning technique to automatically categorize tweets into one of eight categories. This approach uses social sensing …
Building An Automated Q-A System Using Online Forums As Knowledge Bases, Kyle Moore
Building An Automated Q-A System Using Online Forums As Knowledge Bases, Kyle Moore
Electronic Theses and Dissertations
Question-Answer systems traditionally use expensive and difficult to produce structured knowledge bases. Recent systems have used unstructured natural language sources as their datasets, but most of those sources have been overly broad or difficult to extend. Online forums are a largely untapped source of information that can provide both depth and breadth when limited to a specific domain, as well as being adaptive to the introduction of new information. In this paper, I conjecture that online forums can be similarly and effectively used as an unstructured knowledge base for Question-Answer systems. I use a relatively simple summarization-based approach to analyze …
Towards Misleading Connection Mining, Md Main Uddin Rony
Towards Misleading Connection Mining, Md Main Uddin Rony
Electronic Theses and Dissertations
This study introduces a new Natural Language Generation (NLG) task – Unit Claim Identification. The task aims to extract every piece of verifiable information from a headline. The Unit Claim identification has applications in other domains; such as fact-checking where the identification of each verifiable information from a check-worthy statement can lead to an effective fact-check. Moreover, the extracting of the unit claims from headlines can identify a misleading news article, by mapping evidence from contents. For addressing the unit claim identification problem, we outlined a set of guidelines for data annotation, arranged in-house training for the annotators and obtained …
Optimizing The Performance Of Complex Engineering Systems Aided By Artificial Neural Networks, Khalil Qatu
Optimizing The Performance Of Complex Engineering Systems Aided By Artificial Neural Networks, Khalil Qatu
Electronic Theses and Dissertations
In the first problem Polyetherimide graphene nanoplatelets papers (PEIGNP) were tested with different graphene loadings varying from 0-97 weight percent (WT%). The resulting stress-strain curves were utilized to develop two ANN models. Stress-controlled and strain-controlled models. Both models shoan excellent correlation to the experimental. Several Mechanical properties were calculated from the predicted stress-strain curves namely; toughness maximum strength maximum strain and maximum tangent modulus. Both models captured the same overall behavior of the PEIGNP composite. However the strain-controlled model was found to predict lower stress than the stress-controlled model. Finally a Graphical User Interface (GUI) was developed to aid in …
Utilizing Various Neural Network Architectures To Play A Game Developed For Human Players, Michael Blake Arender
Utilizing Various Neural Network Architectures To Play A Game Developed For Human Players, Michael Blake Arender
Electronic Theses and Dissertations
Neural Networks have received an explosive amount of attention and interest in recent years. Despite the fact that Neural Network algorithms having existed for many decades, it was not until recent advances in computer hardware that they saw widespread use. This is in no small part due to the success these algorithms have had in tasks ranging from image classification, voice recognition, game theory, and many other applications. Thanks to recent strides in hardware development, most importantly in the advancements in Graphics Processor Units including the capabilities of modern GPU Computing, Neural Networks are now capable of solving tasks at …
Scheduling Irregular Workloads On Gpus, David Arthur Troendle
Scheduling Irregular Workloads On Gpus, David Arthur Troendle
Electronic Theses and Dissertations
This doctoral research aims at understanding the nature of the overhead for data irregular GPU workloads, proposing a solution, and examining the consequences of the result. We propose a novel, retry-free GPU workload scheduler for irregular workloads. When used in a Breadth First Search (BFS) algorithm, the proposed simple, monolithic concurrent queue scales to within 10% of ideal scalability on AMD’s Fiji GPU with 14,336 active threads. The dissertation presents an important finding that the retry overhead associated with Compare and Swap (CAS) operations is the principle reason why concurrent queues do not scale well as the number of clients …
Improving Random Forests By Feature Dependence Analysis, Silu Zhang
Improving Random Forests By Feature Dependence Analysis, Silu Zhang
Electronic Theses and Dissertations
Random forests (RFs) have been widely used for supervised learning tasks because of their high prediction accuracy good model interpretability and fast training process. However they are not able to learn from local structures as convolutional neural networks (CNNs) do when there exists high dependency among features. They also cannot utilize features that are jointly dependent on the label but marginally independent of it. In this dissertation we present two approaches to address these two problems respectively by dependence analysis. First a local feature sampling (LFS) approach is proposed to learn and use the locality information of features to group …
Performance Evaluation Of Blocking And Non-Blocking Concurrent Queues On Gpus, Hossein Pourmeidani
Performance Evaluation Of Blocking And Non-Blocking Concurrent Queues On Gpus, Hossein Pourmeidani
Electronic Theses and Dissertations
The efficiency of concurrent data structures is crucial to the performance of multi-threaded programs in shared-memory systems. The arbitrary execution of concurrent threads, however, can result in an incorrect behavior of these data structures. Graphics Processing Units (GPUs) have appeared as a powerful platform for high-performance computing. As regular data-parallel computations are straightforward to implement on traditional CPU architectures, it is challenging to implement them in a SIMD environment in the presence of thousands of active threads on GPU architectures. In this thesis, we implement a concurrent queue data structure and evaluate its performance on GPUs to understand how it …
An Approach To Semi-Autonomous Indoor Drone System: Software Architecture And Integration Testing, Shobhan Singh
An Approach To Semi-Autonomous Indoor Drone System: Software Architecture And Integration Testing, Shobhan Singh
Electronic Theses and Dissertations
To address these problems, we establish a semi-autonomous functionality by removing the RC transmitter, and remotely connecting the Drone System to track status and executing user-based input commands. In order to resolve the limitation in hardware connections on the Flight Controller, we integrated the sonar sensor into a companion computer, from where the data is continuously fed to an embedded system through MAVLink (Micro Aerial Vehicle Link) network communication protocol. In this study, we also implemented a modular architecture which enables scalable integration of sensor modules into the Drone System to streamline the process of development, deployment, testing and debugging.
Dworkinian Liberalism, The Right To Pornography, And The Internet, Will Nowell
Dworkinian Liberalism, The Right To Pornography, And The Internet, Will Nowell
Honors Theses
In a 1981 journal article, “Is There A Right to Pornography?,” Ronald Dworkin argues that we have a right to ethical independence that includes the right to consume pornography. The purpose of this thesis is to inquire as to whether Dworkinian liberalism does entail a right to specifically internet pornography. This research is primarily focused on Ronald Dworkin’s writings in Justice for Hedgehogs, Sovereign Virtue: The Theory and Practice of Equality, and Taking Rights Seriously to describe the principles and character of Dworkinian liberalism and its philosophical relationship to the question of the right to pornography. This thesis considers contemporary …
Survey Of Biosynthetic Gene Clusters From Sequenced Myxobacteria And Analysis Of Potential Metabolic Diversity, Katherine C. Gregory
Survey Of Biosynthetic Gene Clusters From Sequenced Myxobacteria And Analysis Of Potential Metabolic Diversity, Katherine C. Gregory
Honors Theses
The importance of natural product discovery to society is undeniable as natural products have seemingly infinite applications, particularly in regard to pharmacological use as antibacterial, antifungal, antiparasitic, anticancer and immunosuppressive agents. The search for new therapeutics and other new chemical commodities thus grows simultaneously with antibiotic resistance and commercial pressure on pharmaceutical research. However, the increasingly common phenomenon of natural product rediscovery continues to inhibit advancement in this field. We contend that the likelihood of rediscovery can be predicted by taxonomic distance between the bacteria in question and previously studied bacteria. That is, our data supports a correlation between chemical …
Classically Biased: A Quantitative Analysis Of Gender & Writing Styles In Classical Literature, Madeleine Rose Delcambre
Classically Biased: A Quantitative Analysis Of Gender & Writing Styles In Classical Literature, Madeleine Rose Delcambre
Honors Theses
This thesis is a first attempt in assessing patterns related to gender in classical literature prior to the 21st century, specifically looking at the way writing styles and language di↵er among female and male authors; e.g., sentence structuring, lexical diversity, and dictionary similarities. Further topics of analysis included gender distribution and sentiment within the novels themselves. Seventy-eight open-source novels were used in the analysis, with thirty-one books by female authors and forty-seven by male authors. Data from the novels was acquired using Python, natural language processing, and the Natural Language Toolkit (NLTK). Graphs and visuals were then created to summarize …