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Articles 1021 - 1050 of 3188
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Modeling And Testing Powerplant Subsystems Of A Solar Uas, Luke J. Bughman
Modeling And Testing Powerplant Subsystems Of A Solar Uas, Luke J. Bughman
Master's Theses
In order to accurately conduct the preliminary and detailed design of solar powered Unmanned Aerial Systems (UAS), it is necessary to have a thorough understanding of the systems involved. In particular, it is desirable to have mathematical models and analysis tools describing the energy income and expenditure of the vehicle. Solar energy income models may include available solar irradiance, photovoltaic array power output, and maximum power point tracker efficiency. Energy expenditure models include battery charging and discharging characteristics, propulsion system efficiency, and aerodynamic efficiency. In this thesis, a series of mathematical models were developed that characterize the performance of these …
Predictors Of Ransomware From Binary Analysis, Aaron M. Otis
Predictors Of Ransomware From Binary Analysis, Aaron M. Otis
Master's Theses
Ransomware, a type of malware that extorts payment from a victim by encrypting her data, is a growing threat that is becoming more sophisticated with each generation. Attackers have shifted from targeting individuals to entire organizations, raising extortions from hundreds of dollars to hundreds of thousands of dollars. In this work, we analyze a variety of ransomware and benign software binaries in order to identify indicators that may be used to detect ransomware. We find that several combinations of strings, cryptographic constants, and a large number loops are key indicators useful for detecting ransomware.
The Effects Of Creative And Cognitive Exercises On Body Balance, Gina Digiacomo
The Effects Of Creative And Cognitive Exercises On Body Balance, Gina Digiacomo
Master's Theses
No abstract provided.
3d Printed Robotic Arm As A Developmental Platform For Education, Samuel Soifer
3d Printed Robotic Arm As A Developmental Platform For Education, Samuel Soifer
Master's Theses
Modern engineering courses provide students with exposure to the theory and derivations of problems. Rarely do these courses require students to apply their theoretical knowledge to problems that an engineer would face in industry, thus leaving a gap in a student’s education. In order for future engineers to effectively prepare to apply their engineering education to problems in industry, it is vital that engineering students take courses in which they can learn how to integrate different engineering topics and apply theoretical knowledge to industry problems.
The objective of this thesis is to develop an educational platform that both integrates and …
Spring-Guided Electromagnetic Vibrations Energy Harvester, Ghufran Jaber Aldawood
Spring-Guided Electromagnetic Vibrations Energy Harvester, Ghufran Jaber Aldawood
Master's Theses
In recent years, vibration based energy harvesting techniques showed a promising alternative to power wireless sensor networks (WSN). Billions of low power sensors are currently used widely in wireless sensor networks (WSN) and the Internet of Things environment (IoT). These sensors are currently powered by a traditional power source, i.e. a disposable battery. Vibrations are an abundant source of kinetic energy that can serve as the power source for these sensor nodes. This approach eliminates the necessity for frequent battery replacement due to their short-life span and hazardous disposal process. The adverse and irreversible effect from the disposal of these …
A Study Of The Mono-Stable And Bi-Stable Magnetic Spring Based Vibration Energy Harvesters Subject To Harmonic Excitation, Hieu Tri Nguyen
A Study Of The Mono-Stable And Bi-Stable Magnetic Spring Based Vibration Energy Harvesters Subject To Harmonic Excitation, Hieu Tri Nguyen
Master's Theses
Continuous improvement in electronics manufacturing has led to the deployment of low-power sensors, which has resulted in an urgent need for developing energy harvesters capable of generating electric power using abundant and free energy sources such as ambient vibrations. The work presented here is motivated by the growing interest in targeting nonlinear energy harvesting through magnetic interactions, which are compatible with ambient vibration energy sources that are often characterized by a broadband frequency spectrum and can be particularly rich with low frequencies. In this work, experimental and theoretical studies were performed to investigate a magnetic- levitation-based vibration energy harvester that …
The Effect Of Lateral Deviation On Triple Jump Performance, Kourtney Symone Jones
The Effect Of Lateral Deviation On Triple Jump Performance, Kourtney Symone Jones
Master's Theses
Field events in track and field consist of throws (e.g., hammer, shot put, discus, javelin), vertical jumps (e.g., pole vault, high jump), and horizontal jumps (e.g., long jump, triple jump). Of the two horizontal jumps, triple jump is the most complex consisting of three phases: hop, step, and jump. Research has been conducted to examine limb motion and phasing distribution during triple jump performance; however, the effect of lateral deviation on triple jump performance in unknown. Purpose: The purpose of this study is 1) to determine the effect of lateral deviation on total triple jump performance within high school triple …
The Effects Of Aqueous Atorvastatin On Steroidogenesis Of Xenopus Laevis At Environmentally Relevant Concentrations, Jeremy Johnson
The Effects Of Aqueous Atorvastatin On Steroidogenesis Of Xenopus Laevis At Environmentally Relevant Concentrations, Jeremy Johnson
Master's Theses
Statin drugs are a class of drug that work to reduce endogenous production of cholesterol by competitively inhibiting 3-hydroxy-3-methyl-glutaryl-CoA reductase (Hmgcr) thus inhibiting production of mevalonic acid in the mevalonate pathway. Atorvastatin (Lipitor) is one of the most widely prescribed statin drugs and contamination of wastewater effluent is a growing environmental concern because of the potential to interfere with steroidogenesis in wildlife. Amphibians may be particularly susceptible to the effects of atorvastatin contamination because of their highly permeable integument. I used an amphibian model, Xenopus laevis to test the hypothesis that chronic exposure to low concentrations of atorvastatin …
Response And Recovery Of Horn And Petit Bois Islands, Mississippi, Usa To Tropical Cyclone Impacts: 2004 – 2016, Shara Gremillion
Response And Recovery Of Horn And Petit Bois Islands, Mississippi, Usa To Tropical Cyclone Impacts: 2004 – 2016, Shara Gremillion
Master's Theses
Horn and Petit Bois islands are two of five Mississippi (MS) barrier islands that provide physical protection from tropical cyclones threatening the MS Gulf Coast, in addition to critical habitat for the northern Gulf of Mexico (GOM). In September 2004, Hurricane Ivan removed a large volume of sediment from the eastern ends of Horn and Petit Bois islands with its 1-2 m storm surge and ~194 kph wind speeds. Then, in August 2005 Hurricane Katrina severely impacted the two islands again with its 3.5-5.5 m storm surge on Horn and Petit Bois islands, and up to 204 kph wind speeds …
Krylov Subspace Spectral Methods With Non-Homogenous Boundary Conditions, Abbie Hendley
Krylov Subspace Spectral Methods With Non-Homogenous Boundary Conditions, Abbie Hendley
Master's Theses
For this thesis, Krylov Subspace Spectral (KSS) methods, developed by Dr. James Lambers, will be used to solve a one-dimensional, heat equation with non-homogenous boundary conditions. While current methods such as Finite Difference are able to carry out these computations efficiently, their accuracy and scalability can be improved. We will solve the heat equation in one-dimension with two cases to observe the behaviors of the errors using KSS methods. The first case will implement KSS methods with trigonometric initial conditions, then another case where the initial conditions are polynomial functions. We will also look at both the time-independent and time-dependent …
Extended-Range Oscillations And The First Sharp Diffraction Peak In Amorphous Silicon: A Systematic Study, Devilal Dahal
Extended-Range Oscillations And The First Sharp Diffraction Peak In Amorphous Silicon: A Systematic Study, Devilal Dahal
Master's Theses
The first sharp diffraction peak (FSDP), which characterizes the static structure factor of many glassy systems near the wave vector region of 1-2 Å-1 has been observed depending on the temperature, pressure and the degree of annealing of the system. The presence of the FSDP is indicative of the intermediate range order (IRO). In current work, we study the role of the extended- range oscillations on the parameters of the FSDP, i.e., intensity, position, area, and the full width at half maximum (FWHM) by using high-quality simulated models of amorphous silicon. The radial distance up to half of the …
Infestation Intensities, Attachment Patterns, And The Effect On Host Contest Behavior Of The Tick Ixodes Pacificus On The Lizard Sceloporus Occidentalis, Dylan M. Lanser
Infestation Intensities, Attachment Patterns, And The Effect On Host Contest Behavior Of The Tick Ixodes Pacificus On The Lizard Sceloporus Occidentalis, Dylan M. Lanser
Master's Theses
Parasites often have profound effects on the survival and evolution of their hosts, and hence on the structure and health of entire ecosystems. Yet basic questions, such as the degree of virulence of a given parasite on its host, and factors influencing which hosts in a population are at the greatest risk of infection, are vexingly difficult to resolve. The western blacklegged tick-western fence lizard (Ixodes pacificus-Sceloporus occidentalis) system is important, primarily because I. pacificus, a vector of the Lyme disease spirochete Borrelia burgdorferi, is dependent on S. occidentalis for blood meals in its subadult stages, …
Examining The Effectiveness Of Electromyography Biofeedback At Improving The Upper Trapezius To Serratus Anterior Muscle Activation Ratio, Julia Evelyn Holton
Examining The Effectiveness Of Electromyography Biofeedback At Improving The Upper Trapezius To Serratus Anterior Muscle Activation Ratio, Julia Evelyn Holton
Master's Theses
Purpose: The upper trapezius to serratus anterior muscle activation ratio is essential for optimal shoulder function. An alteration of this ratio, specifically a decrease in upper trapezius and increase in serratus anterior activation, is a main area of focus in shoulder rehabilitation (Kibler, 1998; Paine & Voight, 1993). Electromyography (EMG) biofeedback has been shown to be an effective rehabilitation technique to address many musculoskeletal disorders but there is limited research on the retention of improvements seen with EMG biofeedback (Ma et al., 2011; Lim et al., 2014; Weon, et al., 2011). The purpose of this study was to determine if …
Direct Assessment Of Entrepreneurial Minded Learning Through Integrated E-Learning Modules, Aadtiyasinh Rana
Direct Assessment Of Entrepreneurial Minded Learning Through Integrated E-Learning Modules, Aadtiyasinh Rana
Master's Theses
Entrepreneurial Minded Learning (EML) has a significant emphasis in engineering education
today. Several approaches have been used to assess the impact of various EML approaches. Many indirect assessment techniques have been used and a few direct assessment techniques have been developed. The work presented in this thesis investigates the effectiveness of two specific measurement methods to quantify entrepreneurial minded learning in students.
The University of New Haven has adopted the approach of integrating e-learning modules on entrepreneurial topics and related contextual activities into courses as the primary approach of developing an entrepreneurial mindset (EM) in students. This study focuses on …
Evaluation Of Commercial Protective Cultures For The Control Of Listeria Monocytogenes And Shiga Toxin-Producing Escherichia Coli In Raw Milk Cheese, Catherine Gensler
Evaluation Of Commercial Protective Cultures For The Control Of Listeria Monocytogenes And Shiga Toxin-Producing Escherichia Coli In Raw Milk Cheese, Catherine Gensler
Master's Theses
No abstract provided.
A Comparison Of Six Dif Detection Methods, Xueying Gao
A Comparison Of Six Dif Detection Methods, Xueying Gao
Master's Theses
In the context of educational measurement, a test item is identified as differentially functioning across groups when the probability an examinee’s response to it depends on group membership. Methods for detecting uniform and nonuniform DIF have been studied and examined over decades to improve the validity of tests. The current study focused on examining and comparing the effectiveness of six DIF detection methods: the Mantel-Haenszel (MH) procedure, the Logistic Regression procedure, the multiple indicators multiple causes (MIMIC) model, the item response theory likelihood-ratio test (IRT-LR), Lord’s IRT-based Wald test and a Randomization Test based on a R-square change statistic. A …
Data-Driven Database Education: A Quantitative Study Of Sql Learning In An Introductory Database Course, Andrew C. Von Dollen
Data-Driven Database Education: A Quantitative Study Of Sql Learning In An Introductory Database Course, Andrew C. Von Dollen
Master's Theses
The Structured Query Language (SQL) is widely used and challenging to master. Within the context of lab exercises in an introductory database course, this thesis analyzes the student learning process and seeks to answer the question: ``Which SQL concepts, or concept combinations, trouble students the most?'' We provide comprehensive taxonomies of SQL concepts and errors, identify common areas of student misunderstanding, and investigate the student problem-solving process. We present an interactive web application used by students to complete SQL lab exercises. In addition, we analyze data collected by this application and we offer suggestions for improvement to database lab activities.
Differences In Mandibular Dentogingival Exposure As A Function Of Age And Type Of Facial Expression, Alison Loewenstein
Differences In Mandibular Dentogingival Exposure As A Function Of Age And Type Of Facial Expression, Alison Loewenstein
Master's Theses
Statement of Problem:The need to accurately and reliably assess the maximum mandibular dentogingival display is essential during the planning of dental treatment, and inaccuracies in capturing a patient’s genuine border movements in the mandible can result in a faulty treatment outcome.
Purpose: Maximum smile as an expression is a frequently used to establish the extent of dentogingival display in the dental practice. In this study, the facial expressions “maximum smile,” (MS) “eyes closed smile,” (EC) and enunciation of the word “church” (CH) was used to evaluate the effect of facial expression on mandibular dentogingival display, and to assess the …
Implementation Of Multivariate Artificial Neural Networks Coupled With Genetic Algorithms For The Multi-Objective Property Prediction And Optimization Of Emulsion Polymers, David Chisholm
Master's Theses
Machine learning has been gaining popularity over the past few decades as computers have become more advanced. On a fundamental level, machine learning consists of the use of computerized statistical methods to analyze data and discover trends that may not have been obvious or otherwise observable previously. These trends can then be used to make predictions on new data and explore entirely new design spaces. Methods vary from simple linear regression to highly complex neural networks, but the end goal is similar. The application of these methods to material property prediction and new material discovery has been of high interest …
Interpolated Perturbation-Based Decomposition As A Method For Eeg Source Localization, Gabriel Zelik Lipof
Interpolated Perturbation-Based Decomposition As A Method For Eeg Source Localization, Gabriel Zelik Lipof
Master's Theses
In this thesis, the perturbation-based decomposition technique developed by Szlavik [1] was used in an attempt to solve the inverse problem in EEG source localization. A set of dipole locations were forward modeled using a 4-layer sphere model of the head at uniformly distributed lead locations to form the vector basis necessary for the method. Both a two-dimensional and a pseudo-three-dimensional versions of the model were assessed with the two-dimensional model yielding decompositions with minimal error and the pseudo-three-dimensional version having unacceptable levels of error. The utility of interpolation as a method to reduce the number of data points to …
College Students' Disenfranchised Grief Following A Breakup: The Effect Of Relationship Closeness And Perceived Stigma On Grief, Jennifer E. Reimer
College Students' Disenfranchised Grief Following A Breakup: The Effect Of Relationship Closeness And Perceived Stigma On Grief, Jennifer E. Reimer
Master's Theses
Grief is a universal reaction to loss. Losses are often associated to the death of a loved one, however, they may also originate from the end of an intimate partner relationship. Whereas studies have focused on grief after a divorce or on symptomology students endure after a death, this article attends to the understudied college student experience of grief following a breakup. Within emerging adulthood, the loss of a close romantic relationship may be challenging to navigate alongside the daily stressors of college. Stigmatization by means of social cues convey sentiments, such as the need to get over an ex-partner, …
A Comparison Of Water Main Failure Prediction Models In San Luis Obispo, Ca, Kyle Eric Aube
A Comparison Of Water Main Failure Prediction Models In San Luis Obispo, Ca, Kyle Eric Aube
Master's Theses
This study compared four different water main failure prediction models: a statistically simple model, a statistically complex model, a statistically complex model with modifications termed the 2019 model, and an age-based model. The statistically complex models compute the probability of failure based on age, size, internal pressure, length of pipe in corrosive soil, land use, and material of the. These two values are then used to prioritize a water main rehabilitation program to effectively use the municipality’s funds. The 2019 model calculates the probability of failure and consequence of failure differently than the statistically complex model by considering corrosive soil …
Cloneless: Code Clone Detection Via Program Dependence Graphs With Relaxed Constraints, Thomas J. Simko
Cloneless: Code Clone Detection Via Program Dependence Graphs With Relaxed Constraints, Thomas J. Simko
Master's Theses
Code clones are pieces of code that have the same functionality. While some clones may structurally match one another, others may look drastically different. The inclusion of code clones clutters a code base, leading to increased costs through maintenance. Duplicate code is introduced through a variety of means, such as copy-pasting, code generated by tools, or developers unintentionally writing similar pieces of code. While manual clone identification may be more accurate than automated detection, it is infeasible due to the extensive size of many code bases. Software code clone detection methods have differing degree of success based on the analysis …
Rheological Investigations Of Latex-Surfactant-Associative Thickener Aqueous Systems, Bishop I. Hammack
Rheological Investigations Of Latex-Surfactant-Associative Thickener Aqueous Systems, Bishop I. Hammack
Master's Theses
Surfactants and Thickeners are both additives used in fully-formulated waterborne coatings to provide colloidal stability, thickening, and other functionality. The behavior of each ingredient in a coating must be understood and controlled to maintain colloidal stability as well as balance other desired properties of the liquid coating and the dry paint film. In this work, quaternary systems of Water-Latex-Thickener-Surfactant were investigated to further the understanding of their behavior in coatings. The thickener used was a well characterized, hydrophobically-modified, ethoxylated urethane (HEUR) with two C18 terminal hydrophobes and 795 average repeat units of ethylene oxide as the hydrophilic spacer. Two latexes, …
The Martingale Approach To Financial Mathematics, Jordan M. Rowley
The Martingale Approach To Financial Mathematics, Jordan M. Rowley
Master's Theses
In this thesis, we will develop the fundamental properties of financial mathematics, with a focus on establishing meaningful connections between martingale theory, stochastic calculus, and measure-theoretic probability. We first consider a simple binomial model in discrete time, and assume the impossibility of earning a riskless profit, known as arbitrage. Under this no-arbitrage assumption alone, we stumble upon a strange new probability measure Q, according to which every risky asset is expected to grow as though it were a bond. As it turns out, this measure Q also gives the arbitrage-free pricing formula for every asset on our market. In …
Design And Analysis Of An Instrumenting Profiler For Webassembly, Chandler Gifford
Design And Analysis Of An Instrumenting Profiler For Webassembly, Chandler Gifford
Master's Theses
This thesis presents the design, implementation, and analysis of WasmProf, an instrumenting profiler for WebAssembly programs. WebAssembly is a compiled language designed for use on the web that, at the time of this writing, is still being actively developed. At present, performance analysis for WebAssembly programs mostly consists of browsers’ built-in sampling profilers. These profilers work well in many cases but only give a statistical estimation of the distribution of function calls and are, therefore, not well-suited for more fine-grained analysis. The WasmProf instrumenting profiler fills this analysis gap. WasmProf is capable of tracking the number of calls made and …
Simulating Epidemics And Interventions On High Resolution Social Networks, Christopher E. Siu
Simulating Epidemics And Interventions On High Resolution Social Networks, Christopher E. Siu
Master's Theses
Mathematical models of disease spreading are a key factor of ensuring that we are prepared to deal with the next epidemic. They allow us to predict how an infection will spread throughout a population, thereby allowing us to make intelligent choices when attempting to contain the disease. Whether due to a lack of empirical data, a lack of computational power, a lack of biological understanding, or some combination thereof, traditional models must make sweeping assumptions about the behavior of a population during an epidemic.
In this thesis, we implement granular epidemic simulations using a rich social network constructed from real-world …
An Analysis Of Changes In Stream Temperature Due To Forest Harvest Practices Using Dhsvm-Rbm, Julia B. Ridgeway
An Analysis Of Changes In Stream Temperature Due To Forest Harvest Practices Using Dhsvm-Rbm, Julia B. Ridgeway
Master's Theses
Forest harvesting has been shown to cause various changes in water quantity and water quality parameters, highlighting the need for comprehensive forest practice rules. Studies show a myriad of impacts to ecosystems as a result of watershed level changes, such as forest harvesting. Being able to better understand the impact that forest harvesting can have on stream temperature is especially critical in locations where federally threatened or endangered fish species are located. The overall goal of this research project is to assess responses in stream temperature to various riparian and forest harvest treatments in a maritime, mountainous environment. The results …
Brain Tumor Classification Using Hit-Or-Miss Capsule Layers, Spencer J. Chang
Brain Tumor Classification Using Hit-Or-Miss Capsule Layers, Spencer J. Chang
Master's Theses
The job of classifying or annotating brain tumors from MRI images can be time-consuming and difficult, even for radiologists. To increase the survival chances of a patient, medical practitioners desire a means for quick and accurate diagnosis. While datasets like CIFAR, ImageNet, and SVHN have tens of thousands, hundreds of thousands, or millions of samples, an MRI dataset may not have the same luxury of receiving accurate labels for each image containing a tumor. This work covers three models that classify brain tumors using a combination of convolutional neural networks and of the concept of capsule layers. Each network utilizes …
A Numerical Simulation Optimizing Droplet Motion Driven By Electrowetting, Jake M. Lesinski
A Numerical Simulation Optimizing Droplet Motion Driven By Electrowetting, Jake M. Lesinski
Master's Theses
A numerical simulation of electrowetting on a dielectric was performed in COMSOL to grant insight on various parameters that play a critical role in system performance. The specific system being simulated was the Open Drop experiment and the parameters being investigated were the applied voltage, contact angle at the advancing triple point, and droplet overlap onto neighboring actuated electrodes. These parameters were investigated with respect to their effect on droplet locomotion performance. This performance was quantified by the droplets velocity and the dielectrophortic (DEP) force’s magnitude; the DEP force was calculated from integration of the Maxwell Stress Tensor, however, the …