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Physical Sciences and Mathematics Commons

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University of Central Florida

2020

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Articles 1 - 30 of 112

Full-Text Articles in Physical Sciences and Mathematics

Lulling Waters: A Poetry Reading For Real-Time Music Generation Through Emotion Mapping, Ashley Muniz, Toshihisa Tsuruoka Jul 2020

Lulling Waters: A Poetry Reading For Real-Time Music Generation Through Emotion Mapping, Ashley Muniz, Toshihisa Tsuruoka

Electronic Literature Organization Conference 2020

Through a poetic narrative, “Lulling Waters” tells the story of a whale overcoming the loss of his mother, who passed away from ingesting plastic, as he attempts to escape from the polluted oceanic world. The live performance of this poem utilizes a software system called Soundwriter, which was developed with the goal of enriching the oral storytelling experience through music. This video demonstrates how Soundwriter’s real-time hybrid system was able to analyze “Lulling Waters” through its lexical and auditory features. Emotionally salient words were given ratings based on arousal, valence, and dominance while the emotionally charged prosodic features of the …


Poetry For Seers Or The Peruvian Visual Poetic Tradition In Front Of New Media, Michael Hurtado, Pamela Medina, Enrique García, Michael Prado Jul 2020

Poetry For Seers Or The Peruvian Visual Poetic Tradition In Front Of New Media, Michael Hurtado, Pamela Medina, Enrique García, Michael Prado

Electronic Literature Organization Conference 2020

Since the first decades of the twentieth century, Peruvian poetic tradition has been characterized by experimental uses of language. Among these possibilities, some records tensioned this medium from the link with the plastic arts, as in the case of the poetry of José María Eguren, while others opted for the playing with the spatiality and visuality of the blank sheet, such as in the case of the work of Carlos Oquendo de Amat. However, it is not until the appearance of the poetry of César Vallejo, specifically with a poems like Trilce in 1922, that these breakages force us to …


From Ai With Love: Reading Big Data Poetry Through Gilbert Simondon’S Theory Of Transduction, Andrew Klobucar Jul 2020

From Ai With Love: Reading Big Data Poetry Through Gilbert Simondon’S Theory Of Transduction, Andrew Klobucar

Electronic Literature Organization Conference 2020

Computation initiated a far-reaching re-imagination of language, not just as an information tool, but as a social, bio-physical activity in general. Modern lexicology provides an important overview of the ongoing development of textual documentation and its applications in relation to language and linguistics. At the same time, the evolution of lexical tools from the first dictionaries and graphs to algorithmically generated scatter plots of live online interaction patterns has been surprisingly swift. Modern communication and information studies from Norbert Weiner to the present-day support direct parallels between coding and linguistic systems. However, most theories of computation as a model of …


Why Are We Like This?: Exploring Writing Mechanics For An Ai-Augmented Storytelling Game, Max Kreminski, Melanie Dickinson, Michael Mateas, Noah Wardrip-Fruin Jul 2020

Why Are We Like This?: Exploring Writing Mechanics For An Ai-Augmented Storytelling Game, Max Kreminski, Melanie Dickinson, Michael Mateas, Noah Wardrip-Fruin

Electronic Literature Organization Conference 2020

Why Are We Like This? (WAWLT) is a playful, co-creative, AI-augmented, improvisational storytelling game in which one or more players explore and influence an ongoing simulation which they then glean for narrative material. It uses the recently developed simulation technology of story sifting (the recognition of microstories in a chronicle of simulation events), via the Felt library, to afford a new kind of playful, social, and creative writing experience. In this paper, we discuss our primary design goals: (1) using computation and interaction design to support casual player creativity, and (2) foregrounding character subjectivity as a driver for …


Autopia And The Truelist: Language Combined In Two Computer-Generated Books, Nick Montfort Jul 2020

Autopia And The Truelist: Language Combined In Two Computer-Generated Books, Nick Montfort

Electronic Literature Organization Conference 2020

Autopia (Troll Thread, 2016) and The Truelist (Counterpath, 2017) are computer-generated literary books. I reported at ELO 2014 on two of my text-generating “novel machines” (Montfort 2014). The two projects discussed in this paper are about novel-size, but are different sorts of projects. Autopia’s text consists of headline-style sentences made entirely of the singular and plural names of cars. This project manifests not only as a print-on-demand book from a post-digital publisher, but also as a web project and a gallery installation. The Truelist’s 140 pages of verse are available in offset printed book form and also as a …


Climate Change And Tourist Destinations: Florida's Case, Alan Fyall, Dr. Asli Tasci, Jill Fjelstul, Roberta Atzori Feb 2020

Climate Change And Tourist Destinations: Florida's Case, Alan Fyall, Dr. Asli Tasci, Jill Fjelstul, Roberta Atzori

Rosen Research Review

Aside from the physical impacts of climate change, society's perception of climate change, and the response to it at different decision-making levels, are now critical issues. As public awareness of the consequences of climate change increases, it becomes a consideration in everyday decision-making, including tourism. The research of three colleagues at Rosen college o Hospitality Managment, Dr. Alan Fyall, Dr. Asli D. A. Tasci, and Dr. Jill Fjelstul, along with Dr. Roberta Atzori from California State University, Monterey Bay, examines how social representations of climate change may affect a choice of holiday destination. In particular, they examine how they might …


Emulsion Characterization Study For Improved Bilgewater Treatment And Management, Daniela Diaz Hernandez Jan 2020

Emulsion Characterization Study For Improved Bilgewater Treatment And Management, Daniela Diaz Hernandez

Electronic Theses and Dissertations, 2020-

The need for proper management of bilgewater to meet discharge regulations (e.g., 15 ppm oil) has revealed the necessity to expand the current understanding of bilgewater emulsions. This study proposed to evaluate emulsion stability under various environmental conditions and to identify governing parameters for emulsion formation. The stabilizing properties of eight-commercial cleaners and two-neat surfactants were evaluated. In situ characterization techniques were used for monitoring emulsion stability. Additionally, a needle-type pH microsensor and fluorescence spectroscopy were used for analyzing mass transfer at the oil-water interface. Water quality of extracted bilgewater showed to highly vary between vessels (e.g., conductivity: 1.74 -- …


Tensor Network States: Optimizations And Applications In Quantum Many-Body Physics And Machine Learning, Justin Reyes Jan 2020

Tensor Network States: Optimizations And Applications In Quantum Many-Body Physics And Machine Learning, Justin Reyes

Electronic Theses and Dissertations, 2020-

Tensor network states are ubiquitous in the investigation of quantum many-body (QMB) physics. Their advantage over other state representations is evident from their reduction in the computational complexity required to obtain various quantities of interest, namely observables. Additionally, they provide a natural platform for investigating entanglement properties within a system. In this dissertation, we develop various novel algorithms and optimizations to tensor networks for the investigation of QMB systems, including classical and quantum circuits. Specifically, we study optimizations for the two-dimensional Ising model in a transverse field, we create an algorithm for the $k$-SAT problem, and we study the entanglement …


Tunable Few- To Many-Cycle Source For High-Order Harmonic Generation And Time-Resolved Spectroscopy, John Beetar Jan 2020

Tunable Few- To Many-Cycle Source For High-Order Harmonic Generation And Time-Resolved Spectroscopy, John Beetar

Electronic Theses and Dissertations, 2020-

The temporal confinement of laser light pulses to durations approaching the optical period, and the subsequent conversion of these pulses into extreme ultraviolet and x-ray wavelengths through the process of high-order harmonic generation (HHG), has enabled measurement and control of ultrafast processes spanning picosecond to attosecond timescales. Typically achieved by nonlinear compression of multi-cycle pulses in gas-filled hollow-core fibers, compression to single-and even sub-cycle durations is now becoming routine due to the availability of state-of-the-art Ti:sapphire laser amplifiers outputting millijoule level pulses with pulse durations below ten cycles. Even so, reliance on mJ-level Ti:sapphire lasers has in most cases limited …


Infrastructure For Performance Monitoring And Analysis Of Systems And Applications, Ramin Izadpanah Jan 2020

Infrastructure For Performance Monitoring And Analysis Of Systems And Applications, Ramin Izadpanah

Electronic Theses and Dissertations, 2020-

The growth of High Performance Computer (HPC) systems increases the complexity with respect to understanding resource utilization, system management, and performance issues. HPC performance monitoring tools need to collect information at both the application and system levels to yield a complete performance picture. Existing approaches limit the abilities of the users to do meaningful analysis on actionable timescale. Efficient infrastructures are required to support largescale systems performance data analysis for both run-time troubleshooting and post-run processing modes. In this dissertation, we present methods to fill these gaps in the infrastructure for HPC performance monitoring and analysis. First, we enhance the …


Total Synthesis Of Natural Products From Oxidative Dearomatization, Nameer Ezzat Jan 2020

Total Synthesis Of Natural Products From Oxidative Dearomatization, Nameer Ezzat

Electronic Theses and Dissertations, 2020-

The goal of our research is to prepare natural products and related core structures through oxidative dearomatization. The development of a stereoselective iron (III)-mediated intramolecular cascade dearomatization of phenol allowed access to various spirocyclohexadienones and tropons in one step using potassium ferricyanide via single electron transfer (SET). Using this oxidative dearomatization reaction, the thesis focuses on three main parts. The first part is the synthetic efforts toward total synthesis of Harringtonolide. The second part focused on the synthesis of spiro[4.5]decane, a core structure in multiple natural products. The spiro compounds were prepared from ortho hydroxyphenyl nitroalkanes using SET reaction with …


Theoretical Analysis Of The Conduction Properties Of Self Assembled Molecular Tunnel Junctions, Cameron Nickle Jan 2020

Theoretical Analysis Of The Conduction Properties Of Self Assembled Molecular Tunnel Junctions, Cameron Nickle

Electronic Theses and Dissertations, 2020-

As the size scale of electrical devices approach the atomic scale. Moore's law is predicted to be over for semiconductor devices. Studies into the replacement of semiconductor technology with organic devices was first predicted by Avriam and Ratner[1] in 1974. Since then significant research into molecular based organic devices has been conducted. The work presented in this dissertation explores the theoretical frameworks used to model transport through molecular junctions. We present studies which seek to garner a better understanding of the charge transport through molecular junctions and how the conduction properties can be optimized. We show that a single atom …


The Dollar General: Continuous Custom Gesture Recognition Techniques At Everyday Low Prices, Eugene Taranta Jan 2020

The Dollar General: Continuous Custom Gesture Recognition Techniques At Everyday Low Prices, Eugene Taranta

Electronic Theses and Dissertations, 2020-

Humans use gestures to emphasize ideas and disseminate information. Their importance is apparent in how we continuously augment social interactions with motion—gesticulating in harmony with nearly every utterance to ensure observers understand that which we wish to communicate, and their relevance has not escaped the HCI community's attention. For almost as long as computers have been able to sample human motion at the user interface boundary, software systems have been made to understand gestures as command metaphors. Customization, in particular, has great potential to improve user experience, whereby users map specific gestures to specific software functions. However, custom gesture recognition …


Algorithms And Applications Of Novel Capsule Networks, Rodney Lalonde Jan 2020

Algorithms And Applications Of Novel Capsule Networks, Rodney Lalonde

Electronic Theses and Dissertations, 2020-

Convolutional neural networks, despite their profound impact in countless domains, suffer from significant shortcomings. Linearly-combined scalar feature representations and max pooling operations lead to spatial ambiguities and a lack of robustness to pose variations. Capsule networks can potentially alleviate these issues by storing and routing the pose information of extracted features through their architectures, seeking agreement between the lower-level predictions of higher-level poses at each layer. In this dissertation, we make several key contributions to advance the algorithms of capsule networks in segmentation and classification applications. We create the first ever capsule-based segmentation network in the literature, SegCaps, by introducing …


Atomic Scale Processes And Electronic Band Structure Engineering In Thin Layered Materials, Brandon Blue Jan 2020

Atomic Scale Processes And Electronic Band Structure Engineering In Thin Layered Materials, Brandon Blue

Electronic Theses and Dissertations, 2020-

In this work, a variety of layered materials are considered for their potential technologic applications and the role of structure on the physical properties of the material system as a whole. Transition metal dichalcogenides form the core of the work discussed here, with additional results from an iron pnictide-based superconductor and for a biologically-sourced proton conductor. Here, a commercial scanning tunneling microscope (STM) with liquid cryogenic cooling provides information about both the atomic-scale structure of the surface and the local electronic density of states (LDOS) as a function of position. The interplay of superconducting and charge-density wave states is discussed …


Efficient String Algorithms With Applications In Bioinformatics, Sahar Hooshmand Jan 2020

Efficient String Algorithms With Applications In Bioinformatics, Sahar Hooshmand

Electronic Theses and Dissertations, 2020-

The work presented in this dissertation deals with establishing efficient methods for solving some algorithmic problems, which have applications to Bioinformatics. After a short introduction in Chapter 1, an algorithm for genome mappability problem is presented in Chapter 2. Genome mappability is a measure for the approximate repeat structure of the genome with respect to substrings of specific length and a tolerance to define the number of mismatches. The similarity between reads is measured by using the Hamming distance function. Genome mappability is computed for each position in the string and has several applications in designing high-throughput short-read sequencing experiments. …


Design, Construction, And Characterization Of A Combined Mini-Co₂/Voc Sensor And Gas Chromatograph For Field Research, Rishi Basdeo, Michael Hampton Jan 2020

Design, Construction, And Characterization Of A Combined Mini-Co₂/Voc Sensor And Gas Chromatograph For Field Research, Rishi Basdeo, Michael Hampton

Digital Repository: Showcase of Undergraduate Research Excellence

No abstract provided.


Optimization Of Dapoxyl Aptamer For Label-Free Bioanalysis, Jack E. Mordeson, Ryan P. Connelly, Pedro F. Madalozzo, Yulia Gerasimova Jan 2020

Optimization Of Dapoxyl Aptamer For Label-Free Bioanalysis, Jack E. Mordeson, Ryan P. Connelly, Pedro F. Madalozzo, Yulia Gerasimova

Digital Repository: Showcase of Undergraduate Research Excellence

No abstract provided.


Wave-Optics Simulation Of Correlated Speckle Fields, Derek Burrell Jan 2020

Wave-Optics Simulation Of Correlated Speckle Fields, Derek Burrell

Electronic Theses and Dissertations, 2020-

Laser speckle poses an ongoing challenge to optical systems that utilize coherent light for active illumination, including applications in holography, free-space communications, remote sensing and target tracking. Speckle averaging offers one potential path forward by reducing the contrast, thereby boosting signal-to-noise ratios. This approach becomes limited, however, by the degree of correlation between successive frames. Wave-optics simulations help to characterize performance gains through speckle averaging, and so it is important that existing models properly account for decorrelation rates of dynamic speckle. With that goal in mind, this research seeks to build a suite of computational wave-optics experiments that verify speckle …


The Effects Of Gesture Presentation In Video Games, Jack Oakley Jan 2020

The Effects Of Gesture Presentation In Video Games, Jack Oakley

Electronic Theses and Dissertations, 2020-

As everyday and commonplace technology continues to move toward touch devices and virtual reality devices, more and more video games are using gestures as forms of gameplay. While there is much research focused on gestures as user interface navigation methods, we wanted to look into how gestures affect gameplay when used as a gameplay mechanic. In particular, we set out to determine how different ways of presenting gestures might affect the game's difficulty and flow. We designed two versions of a zombie game where the zombies are killed by drawing gestures. The first version of the game is a touchscreen-based …


Action Recognition In Still Images: Confluence Of Multilinear Methods And Deep Learning, Marjaneh Safaei Jan 2020

Action Recognition In Still Images: Confluence Of Multilinear Methods And Deep Learning, Marjaneh Safaei

Electronic Theses and Dissertations, 2020-

Motion is a missing information in an image, however, it is a valuable cue for action recognition. Thus, lack of motion information in a single image makes action recognition for still images inherently a very challenging problem in computer vision. In this dissertation, we show that both spatial and temporal patterns provide crucial information for recognizing human actions. Therefore, action recognition depends not only on the spatially-salient pixels, but also on the temporal patterns of those pixels. To address the challenge caused by the absence of temporal information in a single image, we introduce five effective action classification methodologies along …


Reconstruction Of Bacterial Strain Genomes From Shotgun Metagenomic Reads, Xin Li Jan 2020

Reconstruction Of Bacterial Strain Genomes From Shotgun Metagenomic Reads, Xin Li

Electronic Theses and Dissertations, 2020-

It is necessary to study bacterial strains in environmental samples. The environmental samples are mixed DNA samples collected from the ocean, soil, lake, human body sites, etc. In a natural environment, they provide us new insights into the diversity of our earth. As for bacterial strains on or inside human bodies, to select the proper treatment for diseases caused by bacterial strains, it is critical to identify the corresponding strains and reconstruct their genomes. However, it is a challenge to do so with the DNA from a large number of unknown microbial species mixed together in an environmental sample. The …


Differential Recurrent Neural Networks For Human Activity Recognition, Naifan Zhuang Jan 2020

Differential Recurrent Neural Networks For Human Activity Recognition, Naifan Zhuang

Electronic Theses and Dissertations, 2020-

Human activity recognition has been an active research area in recent years. The difficulty of this problem lies in the complex dynamical motion patterns embedded through the sequential frames. The Long Short-Term Memory (LSTM) recurrent neural network is capable of processing complex sequential information since it utilizes special gating schemes for learning representations from long input sequences. It has the potential to model various time-series data, where the current hidden state has to be considered in the context of the past hidden states. Unfortunately, the conventional LSTMs do not consider the impact of spatio-temporal dynamics corresponding to the given salient …


Computational Methods For Discovery And Analysis Of Rna Structural Motifs, Shahidul Islam Jan 2020

Computational Methods For Discovery And Analysis Of Rna Structural Motifs, Shahidul Islam

Electronic Theses and Dissertations, 2020-

Understanding the 3D structural properties of RNAs will play a critical role in identifying their functional characteristics and designing new RNAs for RNA-based therapeutics and nanotechnology. In an attempt to achieve a better insight into RNAs, biochemical experiments have been conducted to produce data with positional details of atoms in RNA structures. This data has created opportunities for applying computational analysis to solve various biological problems. In this dissertation, we have addressed annotation issues of base-pairing interactions in the low-resolution structure data and presented new methods to analyze RNA structural motifs. Annotating base-pairing interactions is one of the critical steps …


Experimental And Computational Investigation Of Plume Surface Interactions In Vacuum Microgravity, Wesley Chambers Jan 2020

Experimental And Computational Investigation Of Plume Surface Interactions In Vacuum Microgravity, Wesley Chambers

Electronic Theses and Dissertations, 2020-

Plume surface interactions (PSI) are caused by rocket exhaust impinging on planetary surfaces. PSI-induced environmental changes pose hazards to spacecraft and astronauts; thus, it is crucial to understand the gas-particle dynamics of these systems. We have conducted novel experimental and computational work to study PSI effects in relevant vacuum microgravity environments. To study flow effects and regolith instability we developed a computational model that describes the gas flow through a porous medium based on Darcy's Law. This flow depends on regolith properties, and the resulting subsurface pressure distribution is used to estimate ejecta mass. We find flow behaviors and the …


The Physical Properties Of Asteroids, Leos Pohl Jan 2020

The Physical Properties Of Asteroids, Leos Pohl

Electronic Theses and Dissertations, 2020-

The Small Bodies of the Solar System are leftover material from the formation of planets. Compared with planetary bodies, they have undergone little transformation. Embedded in their physical properties, they provide clues to the conditions and processes that took place since the condensation of the Solar Nebula. Furthermore, asteroids are sources of raw materials that are becoming more costly to obtain from the interior of the Earth. The possibilities of extracting those materials has become a topic of significant interest. In this dissertation, I explore several properties of asteroid material: strength of asteroids, their shielding properties against high energetic particles …


Algorithms For Inferring Multiple Microbial Networks, Sahar Tavakoli Jan 2020

Algorithms For Inferring Multiple Microbial Networks, Sahar Tavakoli

Electronic Theses and Dissertations, 2020-

The interactions among the constituent members of a microbial community play a major role in determining the overall behavior of the community and the abundance levels of its members. These interactions can be modeled using a network whose nodes represent microbial taxa and edges represent pairwise interactions. A microbial network is a weighted graph that is constructed from a sample-taxa count matrix and can be used to model co-occurrences and/or interactions of the constituent members of a microbial community. The nodes in this graph represent microbial taxa and the edges represent pairwise associations amongst these taxa. A microbial network is …


Mind The Gap: Understanding Stakeholder Reactions To Different Types Of Data Security, Audra Diers-Lawson, Amelia Symons Jan 2020

Mind The Gap: Understanding Stakeholder Reactions To Different Types Of Data Security, Audra Diers-Lawson, Amelia Symons

International Crisis and Risk Communication Conference

Data security breaches are an increasingly common problem for organizations, yet there are critical gaps in our understanding of how different stakeholders understand and evaluate organizations that have experienced these kinds of security breaches. While organizations have developed relatively standard approaches to responding to security breaches that: (1) acknowledge the situation; (2) highlight how much they value their stakeholders’ privacy and private information; and (3) focus on correcting and preventing the problem in the future, the effectiveness of this response strategy and factors influencing it have not been adequately explored. This experiment focuses on a 2 (type of organization) x …


Seaweed As A Carrier For Microplastics, Stephanie M. Rodriguez Jan 2020

Seaweed As A Carrier For Microplastics, Stephanie M. Rodriguez

Honors Undergraduate Theses

Analysis of seaweed as a vector for microplastics is an integral part of understanding the formation and deposition of micro-sized plastic waste in seawater. The project itself originated due to the influx of seaweed (and mismanaged plastic waste) residing on the shores of St. Kitts and Nevis and the constant deposition of plastic pollution intertwined within the seaweed. The natural occurrence of the two together lead to the consideration of fragmented plastics remaining on the seaweed. The objective of this research is to stain, identify, and quantify the concentration of microplastics sourced from both store-bought and environmental seaweed samples. A …


Algebraic And Combinatorial Approaches For Counting Cycles Arising In Population Biology, Brian Chau Jan 2020

Algebraic And Combinatorial Approaches For Counting Cycles Arising In Population Biology, Brian Chau

Honors Undergraduate Theses

Within population biology, models are often analyzed for the net reproduction number or other generalized target reproduction numbers, which describe the growth or decline of the population based on specific mechanisms. This is useful in determining the strength and efficiency of control measures for inhibiting or enhancing population growth. The literature contains many algebraic and combinatorial approaches for deriving the net reproduction number and generalized target reproduction numbers from digraphs and associated matrices. Finding, categorizing, and counting the permutations of disjoint cycles, or cycles unions is a requirement of the Cycle Union approach by Lewis et al. (2019). These cycles …