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Parameterization And Optimization Of A Wing With A Deformable Trailing Edge, Krishnakumar V. Patel
Parameterization And Optimization Of A Wing With A Deformable Trailing Edge, Krishnakumar V. Patel
Theses
This research aims to investigate parameterization and optimization methods to attain an optimum trailing edge (TE) deformation tailored to different aerodynamic objective functions (C(subscript l), C(subscript l)/C(subscript d), C(subscript l)³/C(subscript d)²). Discontinuous Modified Class/Shape Transformation (dMCST) is used to create the design parameters for the tE curvature. Gradient free optimization methods (sequential model-based, population-based) are tested to obtain a globally optimized design. Subsequently, surrogate-based computational models are trained and aim to replace high-fidelity CFD solvers, such as ANSYS Fluent, to expedite the optimization process. To verify the veracity of these models, a comparison between Xfoil and the trained best surrogate …
A Deep Learning Framework For Consensus Based Multilabel Classification And Image Generation, Digya Acharya
A Deep Learning Framework For Consensus Based Multilabel Classification And Image Generation, Digya Acharya
Theses
In this thesis we address the problem of consensus based multi-label classification. In the general multi-label classification problem, an input is assigned to multiple classes without any constraints. However, there are applications where the multi-label classification needs to be solved under the constraint of a consensus among the assigned labels. We address this problem here using a deep learning approach. We conduct experiments with the MNIST dataset and establish the possibility of using such approaches for traditional multi-class problems. Furthermore, we demonstrate the use of our consensus based classifier in a generative adversarial framework for training a generator for handwritten …
Excitation Of The Dominant Transverse Electric Mode Of A Microstrip Patch Antenna Using A Coplanar L-Strip Feeding Technique, Matthew A. Adams
Excitation Of The Dominant Transverse Electric Mode Of A Microstrip Patch Antenna Using A Coplanar L-Strip Feeding Technique, Matthew A. Adams
Theses
Microstrip patch antennas are employed in a variety of commercial and military applications due to their versatility, low profile, and ability to be easily fabricated. In this thesis, a microstrip patch antenna is made from artificial magnetic conductor (AMC) unit cells that excite the dominant transverse electric (TE) mode via an L-strip coplanar with the AMC patch layer. Integration of the L-strip into the unit cell layer of the AMC patch and the ground layer of the AMC patch is investigated and full-wave analyzed. To improve gain radiation pattern symmetry about the broadside direction, the AMC patch is shifted laterally …
Variation In Diet Between Cave And Surface Populations Of The Northern Slimy Salamander (Plethodon Glutinosus), Megan A. Carter
Variation In Diet Between Cave And Surface Populations Of The Northern Slimy Salamander (Plethodon Glutinosus), Megan A. Carter
Theses
The diet of the Northern Slimy Salamander (Plethodon glutinosus), a facultative cave-dweller, was examined at two pairs of subterranean and terrestrial sites in northern Alabama as its diet has remained largely unstudied. I investigated if salamanders are feeding in the darkness of caves and indirectly looked at specialization by examining gut contents via non-lethal gavaging for a year. A total of 52 salamanders were gavaged with cave salamanders rarely having stomach contents. Moreover, cave specimens ingested fewer prey items and a less diverse prey base compared to surface specimens. Eighty-four unique prey items/taxa were recovered across all sites. …
Development Of An Optimization Framework For A Circulation Control Airfoil With A Morphing Trailing Edge, Micajah Schweikert
Development Of An Optimization Framework For A Circulation Control Airfoil With A Morphing Trailing Edge, Micajah Schweikert
Theses
This research investigates the impact of a circulation control airfoil with a deformable trailing edge, on lift-to-drag ratio, to evaluate the use of deformation to reduce the momentum coefficient of blowing (C μ). A framework is developed for optimization of the deformable trailing edge on a NACA 0015 consisting of: a developed parametrization method (Chord Limited discontinuous Morphing Class Shape Transformation), Bayesian optimization, an objective function (Cl ⁄ Cd), a developed communication method, and a Computational Fluid Dynamics solver (Ansys Fluent). The optimization takes place over five blowing actuations (C μ=0, 0.05, 0.1, 0.15, and …
Applying Data Science And Machine Learning Techniques For Hydrological Applications : Case Study In Cambodia, Biplov Bhandari
Applying Data Science And Machine Learning Techniques For Hydrological Applications : Case Study In Cambodia, Biplov Bhandari
Theses
Cambodia suffers from flooding and flash-flooding events every year, and thus better flood management and forecasting are crucial in taking early action. The Streamflow Prediction Tool (SPT) provides forecast discharge 15 days in advance globally. This thesis applies data-driven and Machine Learning (ML) techniques to improve Cambodia’s hydrological applications. Two case studies are presented – the first predicts the river discharge from the water level using time-series information; the second uses the predicted discharge from the first to bias-correct the SPT’s historical reanalysis data using several ML techniques. The historical Bias Correction (BC) is the first step toward the forecasted …
The Intercomparison Of Wind Profiles From Various Ground-Based Profiling Systems, Preston Pangle
The Intercomparison Of Wind Profiles From Various Ground-Based Profiling Systems, Preston Pangle
Theses
Dense profiling networks that have been used in previous studies have utilized a variety of wind profilers (radar wind profilers, Doppler sodars, Doppler lidars, and scanning radars) to capture boundary layer (BL) heterogeneity. The many profilers that are used not only implement different retrieval schemes, but also have differing sample volumes and beam widths. Because these systems can have different footprints and even different temporal averaging, some of these systems may not capture small-scale or short period horizontal variations across the BL. Utilizing data that is routinely collected by Mobile Atmospheric Profiling Network (MAPNet) platforms at the Severe Weather Institute …
Sediment Transport On The River Bandon, Co. Cork, Ireland, Laurence Lomasney
Sediment Transport On The River Bandon, Co. Cork, Ireland, Laurence Lomasney
Theses
This thesis analyses sediment transport on the River Bandon, Co. Cork, Ireland. Bedload transport and suspended sediment transport were monitored on the River Bandon over an extended period to determine rates of transport over varying flow conditions. A literature review of sediment properties (individual and bulk sediment), sediment transport, and numerical modelling was undertaken. A manual field sampling programme was undertaken at different locations on the River Bandon to collect bed sediment and suspended sediment for laboratory testing. This data, and data collected using an automatic water sampler and bed sediment traps also, was used to determine baseline conditions for …
Robust Control Strategies For Optimal Operation Of Distributed Generation In Smart Microgrids, Chi-Thang Phan-Tan
Robust Control Strategies For Optimal Operation Of Distributed Generation In Smart Microgrids, Chi-Thang Phan-Tan
Theses
The high penetration of PV systems and fast communications networks increase the potential for PV inverters to support the stability and performance of smart grids and microgrids. PV inverters in the distribution network can work cooperatively and follow centralized and decentralized control commands to optimize energy production while meeting grid code requirements. However, there are older autonomous inverters that have already been installed and will operate in the same network as smart controllable ones. This research proposes a decentralized optimal control (DOC) that performs multi-objective optimization for a group of PV inverters in a network of existing residential loads and …
Flexible Microfluidic Device With Nonplanar Interdigitated Microelectrodes, Saud Alssaidy
Flexible Microfluidic Device With Nonplanar Interdigitated Microelectrodes, Saud Alssaidy
Theses
The lab-on-a-chip concept has improved significantly in recent years to meet global demand for various applications with the advent of new technologies. Much progress has been achieved, but many microfluidic devices still suffer from design limitations in terms of sensitivity and selectivity because they use rigid, fragile substrate materials and conventional electrodes, which do not provide high sensitivity or selectivity and suffer from signal-to-noise ratio issues. This work proposes a novel device architecture that uses flexible, transparent top and bottom layers integrated with (nonplanar interdigitated microelectrodes) to create a sandwich-like flexible substrate base. The top and bottom layers consist of …
Itraconazole Nanocomposites Prepared Via Rotary Evaporator Drying Of Nanomilled Suspensions, Alexander Santos Coelho
Itraconazole Nanocomposites Prepared Via Rotary Evaporator Drying Of Nanomilled Suspensions, Alexander Santos Coelho
Theses
The aim of this study is to explore the feasibility of rotary evaporation for drying wetmilled drug suspensions as a novel approach to produce drug nanocomposites that exhibit fast redispersion and immediate drug release. To this end, the physical stability of the nanomilled itraconazole (drug) suspensions, a.k.a., nanosuspensions, during the milling and storage; the drying of the itraconazole nanosuspensions via the rotary evaporator; and the type/loading of various polymers/surfactants (dispersants) on aqueous redispersion and drug release from the nanocomposites were examined. Our results suggest that smaller drug particle size, owing to nanomilling, and smaller nanocomposite particle size, owing to optimized …
Energy Consumption Forecasting Using Machine Learning, Mahdi Mohammadigohari
Energy Consumption Forecasting Using Machine Learning, Mahdi Mohammadigohari
Theses
Forecasting electricity demand and consumption accurately is critical to the optimal and costeffective operation system, providing a competitive advantage to companies. In working with seasonal data and external variables, the traditional time-series forecasting methods cannot be applied to electricity consumption data. In energy planning for a generating company, accurate power forecasting for the electrical consumption prediction, as a technique, to understand and predict the market electricity demand is of paramount importance. Their power production can be adjusted accordingly in a deregulated market. As data type is seasonal, Persistence Models (Naïve Models), Seasonal AutoRegressive Integrated Moving Averages with eXogenous regressors (SARIMAX), …
Sentiment Analysis Of News Tweets, Haya Fathim
Sentiment Analysis Of News Tweets, Haya Fathim
Theses
Sentiment Analysis is a process of extracting information from a large amount of data and classifying them into different classes called sentiments. Python is a simple yet powerful, high-level, interpreted, and dynamic programming language, which is well known for its functionality of processing natural language data by using NLTK (Natural Language Toolkit). NLTK is a library of python, which provides a base for building programs and classification of data. NLTK also provides a graphical demonstration for representing various results or trends and it also provides sample data to train and test various classifiers respectively. Sentiment classification aims to automatically predict …
Understanding Engendered Trust: Facilitating School-Nurse Trustworthiness Behaviors, Anne H. J. Summach
Understanding Engendered Trust: Facilitating School-Nurse Trustworthiness Behaviors, Anne H. J. Summach
Theses
School nurses are involved in a complex framework of interactions with students, other professionals, parents and administrators. Trust between nurse and student is critical for interaction effectiveness. Little extant research examines trust in this setting, or interactions between students and nurses. The goal of this study was to understand through phenomenology the process of engendering trust in school nurse—high school student interactions. The qualitative approach explored school nurse perceptions of experiences interacting with students, yielding insights into nurse and setting based factors contributing to the development of trust. Subthemes within these included key behaviours and attributes enhancing trust engenderment in …
Cognitive Systems Engineering Models Applied To Cybersecurity, Tiffani Bragg
Cognitive Systems Engineering Models Applied To Cybersecurity, Tiffani Bragg
Theses
Cybersecurity is an increasing area of concern for organizations and individuals alike. The majority of successfully executed cyberattacks are a result of human error. One common type of attack that targets human users is phishing. In spite of this, there is a lack of research surrounding human implications on phishing behavior. Using an online survey platform with both phishing and legitimate emails, the present research examined the utility of various cognitive engineering models for modeling responses to these example emails. Using Signal Detection Theory (SDT) and Fuzzy Signal Detection Theory (Fuzzy SDT), the influence of familiarity with phishing and having …
Marketing Automation Customers Segmentation, Hamad Murad
Marketing Automation Customers Segmentation, Hamad Murad
Theses
Understanding the various facets of a customer’s data is very important for businesses. This insight can help them identify patterns and opportunities to improve their operations. RFM values are often used to identify which customers are valuable for a company. They are then used to identify which promotional activities are most appropriate for them. K-means clustering is an unsupervised learning technique that works when you have unlabeled data. It allows the identification of new data points and groups. This paper proposes a novel approach that combines data cleaning and analyzing customer data to divide a broad market into various consumer …
Building A User-Based Recommendation System Using A Model-Based Collaborative Filtering Approach, Shaheer Airaj Ahmed
Building A User-Based Recommendation System Using A Model-Based Collaborative Filtering Approach, Shaheer Airaj Ahmed
Theses
The modern day internet faces a very famous problem called information overload. Where the amount of information is huge and the need for personalized results to match ones preferences for ease of access to other information like it. This is especially a problem in the e-commerce and streaming industries where the amount of items available is massive and users need a way to surf through results quickly and efficiently to find the exact items they are looking for and possibly look at similar recommendations. Modern day recommendation engines use user-item data to find items an active user may like based …
Analysis Of Car Accidents Causes In The Usa, Mohamed Aljaban
Analysis Of Car Accidents Causes In The Usa, Mohamed Aljaban
Theses
Over the past decade more people are opting in to purchase and own their own personal vehicle and in some instances several, which means that road accidents rates are doomed to increase. And this presents a challenge to the government, individuals and the collective community as car accidents are in most cases life threatening and a hazard to society. Thus, this paper aims to tackle this issue and dig deep to explore the main factors contributing to the increase of car accidents rate. The dataset used in this research is data collected from traffic accidents events captured by the department …
Solar-Powered Bike Lanes, Eman Al Ali
Solar-Powered Bike Lanes, Eman Al Ali
Theses
The problem of lack of bike paths in urban areas is a common problem with the increase in the number of riders. Riding the bikes in the main roads due to the lack of cycling tracks affects negatively on the urban area, its residents, visitors, and in many other aspects. To solve this problem, this study examines the design of a solar-powered cycling path in one of the areas of Umm Al Quwain city that located in the northern region of the United Arab Emirates. The research included secondary data sources derived from best practices research for solar-powered cycling paths …
Hit The Lights On Your Way Out, Ryan Zimmerman
Hit The Lights On Your Way Out, Ryan Zimmerman
Theses
Artifacts of industry remain scattered throughout the American rustbelt. A region built and reliant upon manufacturing, destined to fail when companies found themselves in jeopardy. Jobs came and went, businesses folded. What remains in their place are vacant factories, warehouses, and the workforce itself. This area of the country is where my life began and where I have found myself once again. Growing up in Erie, Pennsylvania, part of a family that endured this cycle of ups and downs, I have a certain familiarity and fondness for this post-industrial landscape and its inherent struggles. "Hit the Lights on Your Way …
Correlating Sentiment In Reddit’S Wallstreetbets With The Stock Market Using Machine Learning Techniques, Sultan Ali Alzaabi
Correlating Sentiment In Reddit’S Wallstreetbets With The Stock Market Using Machine Learning Techniques, Sultan Ali Alzaabi
Theses
The issue that this study addresses is to observe whether there exists a statistical relation between the stock market and Reddit’s wallstreetbets. Previous research mainly focused on the relation between the stock market and Twitter. To gather data for the study, comments were scrapped from the subreddit wallstreetbets for a period of four months, Jan 1, 2021, till April 30, 2021. Different sentiment classifiers were, then, applied on a sample of the data to observe the most accurate classifier for the study. The study concluded that the most accurate sentiment classifier was an SVM classifier trained on 80% of Reddit …
Solving Commuting Challenges With Rts Bus Rapid Transit (Rts-Brt) Rochester, Ny, Lelise Tesfaye Bekele
Solving Commuting Challenges With Rts Bus Rapid Transit (Rts-Brt) Rochester, Ny, Lelise Tesfaye Bekele
Theses
The public transport service in Rochester, NY, is inefficient in terms of reliability, safety, comfort, security, waiting, transfer, and longer commute hours. The public transportation system needs significant transformation to overcome this alleviating issue and relieve the burden on low-income residents, pedestrians, and non-motorized vehicle users. The research objective of this thesis is to advance and discover a connection pattern between transportation, urban sprawl, poverty, and unemployment in Rochester, NY. It targets the low-income resident’s detachment from diverse uses, residential settlement, locations of jobs, and transportation options. The research analyses how-: people commute to work, how long the commute takes, …
Characterization And Proteolytic Maturation Of Head Proteins In A Giant Salmonella Virus, Aaron Scheuch
Characterization And Proteolytic Maturation Of Head Proteins In A Giant Salmonella Virus, Aaron Scheuch
Theses
Giant phages are of interest for biocontrol of pathogenic bacteria, however, there is limited knowledge about their biology. We study the Salmonella phage SPN3US to better understand virion structure and function. SPN3US has a contractile tail and a large T=27 icosahedral capsid that contains its 240-kb genome. Previous analyses showed the SPN3US virion is highly unusual because it contains >80 different proteins, a number that is highly unusual for a tailed phage. In addition, there is a mass (>40 MDa) of proteins ("ejection proteins") within the head that enter the Salmonella cell, possibly with roles in host takeover at …
The Artemis Project: Exploring Mass Communication Utilizing A Visual Exploration Of Influential Imagery., Brooke K. Collins
The Artemis Project: Exploring Mass Communication Utilizing A Visual Exploration Of Influential Imagery., Brooke K. Collins
Theses
Society struggles to have difficult conversations. Polite silence is often preferred to dredging up uncomfortable topics. This silence is deafening as the majority of Americans do not consider topics such as The American Sex Trafficking Crisis. In a post-pandemic world, how do we initiate difficult conversations in both digital forums and public domains? The Artemis Project seeks to visually explore this gap in conversation, undergoing an optical investigation of utilizing design and illustrative practices as tools for mass communication. This project conceptualizes the development and application of imagery to introduce a conversation, facilitating understanding and empathy. In short, The Artemis …
Using Characters To Narrow Culture Gaps, Xiangyu Han
Using Characters To Narrow Culture Gaps, Xiangyu Han
Theses
There are a lot of different cultures around the world. It is hard for people with various cultural backgrounds to understand each other. Language is the most direct expression of cultural barriers. With the different structures of languages, communication becomes unsmooth. People can get to know each other better if we narrow down the gaps. The research here discusses the possibility of building a connection between language characters through the graphic. This work will use Chinese and English as an experimental. Images and pictures are the most visual information for people to read. And languages are the most direct information …
Esaal (Smart Delivery System In Dubai), Banout Alketbi
Esaal (Smart Delivery System In Dubai), Banout Alketbi
Theses
Delivery sector has been facing many issues lately due to covid 19 pandemic mainly delivering items and packages late and some of them being in bad condition. The new smart delivery system ( will help in making the delivery system in Dubai more sustainable and at the same time more accurately functioning The proposed system will achieve that by running on their own tracks that are especially made for them to deliver Furthermore, the new designed system will be running and functioning depe nding on solar energy. These routes will be designed to have way to all of the areas …
Amazon Reviews Using Sentiment Analysis, Ammar Rashed Hamdallah
Amazon Reviews Using Sentiment Analysis, Ammar Rashed Hamdallah
Theses
The intense competition to attract and maintain customers online is compelling businesses to implement novel strategies to enhance the customer experiences. It is becoming necessary for companies to examine customer reviews on online platforms such as Amazon to understand better how customers rate their products and services. The purpose of this study is to investigate how companies can conduct sentiment analysis based on Amazon reviews to gain more insights into customer experiences. The dataset selected for this capstone consists of customer reviews and ratings from consumer reviews of Amazon products. Amazon product reviews enable a business to gain insights on …
Calculating Common Vulnerability Scoring System’S Environmental Metrics Using Context-Aware Network Graphs, Christopher Thomas Enoch
Calculating Common Vulnerability Scoring System’S Environmental Metrics Using Context-Aware Network Graphs, Christopher Thomas Enoch
Theses
Software vulnerabilities have significant costs associated with them. To aid in the prioritization of vulnerabilities, analysts often utilize Common Vulnerability Scoring System’s Base severity scores. However, the Base scores provided from the National Vulnerability Database are subjective and may incorrectly convey the severity of the vulnerability in an organization's network. This thesis proposes a method to statically analyze context-aware network graphs to increase accuracy of CVSS severity scores. Through experimentation of the proposed methodology, it is determined that context-aware network graphs can capture the required metrics to generate modified severity scores. The proposed approach has some accuracy to it, but …
Analyzing The Arguments And Opinions Surrounding Space Privatization, Henry Yaeger
Analyzing The Arguments And Opinions Surrounding Space Privatization, Henry Yaeger
Theses
As space exploration technology advances and more private actors engage in independent space activities, national governments and international organizations need to reform and modernize their approach to regulating private space activities in order to better capture and distribute the benefits of those activities. This paper examines several disparate suggestions and ideas found in 38 articles ranging from current space policy literate to international treaties in order to generate four possible policy approaches to private space activities: the Status Quo, Self-Regulation, New International Treaties and Expanded Public-Private Partnership models. It then compares and contrasts these four alternatives to determine which can …
Health, Productivity, And Engagement: Using Modular Product Design To Integrally Improve The Workplace Environment, Xinyue Guo
Theses
With the fast pace of city life and workplace stress, there are growing concerns in relation to well-being and staying healthy. As a space that has relatively undefined functions in a work environment, breakrooms are increasingly expected to contribute to reducing these concerns. However, the vast majority of workplace breakrooms that exist are insufficiently designed achieving only basic functions such as sitting and eating. This thesis questions why existing workplace breakrooms are so neglected, when they have great potential to play a much more important role in the workplace. Firstly, this thesis discusses current literature and qualitative research on the …