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Energy Consumption Forecasting Using Machine Learning, Mahdi Mohammadigohari Dec 2021

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), …


Cognitive Systems Engineering Models Applied To Cybersecurity, Tiffani Bragg Dec 2021

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 …


Building A User-Based Recommendation System Using A Model-Based Collaborative Filtering Approach, Shaheer Airaj Ahmed Dec 2021

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 Dec 2021

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 Dec 2021

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 …


Correlating Sentiment In Reddit’S Wallstreetbets With The Stock Market Using Machine Learning Techniques, Sultan Ali Alzaabi Dec 2021

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 Dec 2021

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, …


Amazon Reviews Using Sentiment Analysis, Ammar Rashed Hamdallah Dec 2021

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 …


Pun Monster: How To Effectively Maintain Fitness And Improve Socialization, Yue Yuan Dec 2021

Pun Monster: How To Effectively Maintain Fitness And Improve Socialization, Yue Yuan

Theses

With the global outbreak of the COVID-19 in 2020, national governments have introduced policies of home quarantine and closing public places, and following social distances. As people spent more time at home, lifestyles changed dramatically, people spent more time looking at their phones and computers, and eating habits changed. This has brought about weight gain and increased anxiety and stress. People have started to do fitness activities at home, but have encountered various problems such as lack of motivation to exercise and lack of peers to supervise each other. The purpose of this paper is to investigate the key factors …


Rocks, Xuting Liu Dec 2021

Rocks, Xuting Liu

Theses

ROCKS is a 2D animation thesis film of 6 minutes and 20 seconds and talks about a young woman dealing with difficult memories of her father who is an astronaut and his decision to go away on a long space flight when she was a young girl. The story is about memory, family and making peace with the past, as well as the progress of growing up. The major software used during the entire production process include: Adobe Photoshop, TVPaint, Adobe After Effect and Procreate. It is inspired by some of my own experience as a young girl, and the …


Cross-Platform Methods In Computer Graphics That Boost Experimental Film Making, Yue Zhang Dec 2021

Cross-Platform Methods In Computer Graphics That Boost Experimental Film Making, Yue Zhang

Theses

Computer graphics arts such as animations, video games, and special effects in live-action movies have become essential for people seeking entertainment and education. This study aims to explore the potential for experimental film in presenting scientific theory as well as assessing different production strategies in 3D image creation. To invite people into some abstract or complicated scientific topics more readily, non-narrative film form is a viable method to relay this type of information. It's crucial to look at how independent filmmakers employ various ways to fulfill their particular creative purposes. I’ll be demonstrating how these processes worked in making my …


Artifact, Durotimi A. Akinkugbe Dec 2021

Artifact, Durotimi A. Akinkugbe

Theses

Artifact is a 3D animated short film following the journey of a mysterious metal, altered by time and human interaction across several millennia. The titular artifact first arrives on a barren prehistoric Earth as the remains of a meteorite impact, a rock glistening with metallic ore. The epoch passes as the natural world comes to life, vegetation growing at the site of the crater. The ore-rock, having remained untouched all these years, is finally found by an early human. It is attached to a stick, forming a primitive hammer. After some use, the hammer breaks, and the ore is smelted, …


Augmented Reality Emergency System, Chun-Hsiang Yang Dec 2021

Augmented Reality Emergency System, Chun-Hsiang Yang

Theses

Fire hazards in a building can be deadly. Knowing what to do is extremely important when a fire occurs in order to survive. However, even with the emergency exit sign, it can still be dangerous to escape recklessly. The goal of this thesis is to find solutions to increase victims' chance of survival during a building fire hazard. This thesis project aims to design an interactive augmented reality system that provides real-time information in fire hazard situations as well as guided escape routes. Specific instructions help to remove the decision-making process from panicked victims who may not be able to …


Pranayama Breathing Detection With Deep Learning, Bikash Shrestha Dec 2021

Pranayama Breathing Detection With Deep Learning, Bikash Shrestha

Theses

Yoga, a complementary health approach, according to a 2017 National Health Interview Survey by the Center for Disease Control and Prevention (CDC), is a choice of around 14.3% adults in the US. Kapalbhati pranayama, a yoga practice of alternating fast exhales and longer passive inhales, is understood to improve our health. Incorrect and irregular practices, however, can cause injuries and adverse effects. To avoid these undesired effects, it is essential to maintain a pace fit for the practitioner. In the absence of any tools to observe a pace of practice, this work develops a deep learning method that listens to …


Digital Transformation Of Issuing Final Clearance Certificate For Infrastructure Projects In Dubai, Anmar Mohammed Alobaidi Dec 2021

Digital Transformation Of Issuing Final Clearance Certificate For Infrastructure Projects In Dubai, Anmar Mohammed Alobaidi

Theses

This paper investigates the essential practices to digitally transform the process of issuing final clearance certificates. In Dubai, a final clearance system enhancement was introduced recently to combine all stakeholders as it is part of eNOC portal (electronic no objection certificate) to issue the certificate. The eNOC platform acts as a centralized hub, bringing together multiple service entities from both government and private organizations to issue unified No-Objection-Certificates (NOCs) for infrastructure projects within the Right-Of-Way (ROW). In this chapter, we employ the DMAIC (Define, Measure, Analyse, Improve, Control) approach to engineering management, facilitating a systematic evaluation of various project aspects. …


Princess, Hoss Wheeler Dec 2021

Princess, Hoss Wheeler

Theses

Princess takes place in a world where eyeballs stretch out of people’s heads like prehensile limbs. The film follows a father, Franklin, who is seen in his home wearing a dress. He covers himself in a long trench coat before leaving the house. As he gets into a cab, Franklin ushers the driver to move quickly, but before too long the cab gets stuck in traffic. This leaves Franklin no choice but to get out and walk. When he exits the cab, his coat gets stuck in the door and rips as he tries to pull it free. The dress …


Using Prediction Ml Algorithm For Predicting Early Student Attrition In Higher Education, Zainab Alhashemi Dec 2021

Using Prediction Ml Algorithm For Predicting Early Student Attrition In Higher Education, Zainab Alhashemi

Theses

This research aims at using predictive models that enable us to predict students who are at risk of dropping out and identify the factors that possibly lead to this dropout. Through the results obtained, concerned stakeholders will be able to effectively develop strategies and initiatives to help decrease the percentage of students’ attrition. There are different reasons why students drop from their courses which could be related to academic issues or personal issues that stop them from being active students. Due to these many reasons of students dropping out, universities are impacted negatively in terms of the financial costs as …


The Lost Taste, Wei-En Chen Dec 2021

The Lost Taste, Wei-En Chen

Theses

The Lost Taste is a film about a young chef named Ueda who is running a noodle bar that was passed down from his deceased father. Ueda is an excellent cook who always satisfies his customers with his secret family recipe. However, in recent years he has been having a hard time running his business, since fast-food chain restaurants are booming and one across the street is stealing his customers. Recently, only a few old loyal customers have come to visit. Worst of all, he has completely forgotten that this very day is the deadline to pay off his debt …


Ambiguity, Rinoi Imada Dec 2021

Ambiguity, Rinoi Imada

Theses

Ambiguity explores the sense of ambiguous identity through conceptual investigations of glass and language structure. This body of work and thesis refer to my personal experience and scholarly research to observe transformation and transition of identity. My thesis considers glass as a phenomenal substance through its transformative materiality; my body of work reflects materiality of glass as an ephemeral identity of humanity. Utilizing glass as a transformative material, my body of work is the result of experimental art practices which are observations of photography, fusing glass techniques, live and site-specific gestures, and hotshop glass techniques.


An Experimental Campaign To Collect Multiresolution Hyperspectral Data With Ground Truth, Joseph A. Carrock Ii Dec 2021

An Experimental Campaign To Collect Multiresolution Hyperspectral Data With Ground Truth, Joseph A. Carrock Ii

Theses

Advancements in hyperspectral imaging systems, data processing, and collection methods, have allowed for comprehensive spectral assessment of terrestrial objects to assist in a vast array of imaging problems previously deemed too complex. As the field evolves and more research is completed, the boundaries of what is capable are constantly pushed to new thresholds. At this junction, there exists an opportunity for the capabilities of these new creations to exceed our ability to prove their efficiency and efficacy. One area where this is true, is in the assessment of new hyperspectral panchromatic sharpening (HPS) algorithms. This is due to the lack …


Network Traffic Analysis Using Local Outlier Factor, Khalifa Almheiri Dec 2021

Network Traffic Analysis Using Local Outlier Factor, Khalifa Almheiri

Theses

The issue that this study addresses is the high rate of false positives, high maintenance, and lack of stability and precision that the existing network intrusion detection algorithm faces. To address this problem, we proposed a Local Outlier Factor (LOF) Algorithm that locates outliers and anomalies by comparing the deviation of one data point with respect to its neighbors. To gather data, we will use DARPA’s KDDCup99 as well as questions towards analysts. This data will help determine whether the LOF algorithm is more effective than existing solutions that are presented in the network intrusion detection space.


Strategic Social Media For Small Congregations, Heather R. Sparkman Dec 2021

Strategic Social Media For Small Congregations, Heather R. Sparkman

Theses

Utilizing social media to draw and build a community of followers is the typical work of the modern Influencer and large organizations. But for a small church, using social media may seem like a wasteful or exasperating experience due to the sheer work that is involved in the enterprise and inconsistency brought on by a lack of strategic thought. The development of this assessment and philosophical metric focuses less on statistical metrics and more on stable principles that relate to values, context, and culture.


Further The Field: Revamping Collegiate Athletic Digital Marketing Efforts, Ryan Sells Dec 2021

Further The Field: Revamping Collegiate Athletic Digital Marketing Efforts, Ryan Sells

Theses

This paper closely analyzes digital marketing strategies and athletic communications campaigns in a more technologically and content-driven era. Recent scholarly research has indicated the shift from traditional marketing methods to more current applications. This thesis paper helps to guide potential sports marketing or communications professionals in the everchanging industry of collegiate athletics. Successful campaigns have been closely analyzed and serve as an indicator of potential future marketing plans that can be put in action. Scholarly articles were strong components in the research process and helped to explain the impact of two-way communication and personalization content ideas. To implement successful digital …


Qualitative Research On Pant Fit: To Improve Plus-Size Fit In The Plus-Size Market, Lenora Brown Dec 2021

Qualitative Research On Pant Fit: To Improve Plus-Size Fit In The Plus-Size Market, Lenora Brown

Theses

This study explored the plus􀂱size apparel fit and the satisfaction of the plus􀂱size women in the United States. According to researchers, there is a well-known gap for apparel grading when it comes to plus-size apparel. This study took a qualitative approach and used structured interviews and surveys with twenty plus-size women size 16 through 22 and ages ranging from 22 through 50 in the Midwest area. The results of the interviews and the survey indicate the plus-size woman is unsatisfied with the fit of their clothing, more specifically the fit of their pants. The results indicate there are many variants …


Heat Patrl: Network-Agnostic Cyber Attack Campaign Triage With Pseudo-Active Transfer Learning, Stephen Frank Moskal Dec 2021

Heat Patrl: Network-Agnostic Cyber Attack Campaign Triage With Pseudo-Active Transfer Learning, Stephen Frank Moskal

Theses

SOC (Security Operation Center) analysts historically struggled to keep up with the growing sophistication and daily prevalence of cyber attackers. To aid in the detection of cyber threats, many tools like IDS’s (Intrusion Detection Systems) are utilized to monitor cyber threats on a network. However, a common problem with these tools is the volume of the logs generated is extreme and does not stop, further increasing the chance for an adversary to go unnoticed until it’s too late. Typically, the initial evidence of an attack is not an isolated event but a part of a larger attack campaign describing prior …


Modeling The Speed And Timing Of American Sign Language To Generate Realistic Animations, Sedeeq Al-Khazraji Dec 2021

Modeling The Speed And Timing Of American Sign Language To Generate Realistic Animations, Sedeeq Al-Khazraji

Theses

While there are many Deaf or Hard of Hearing (DHH) individuals with excellent reading literacy, there are also some DHH individuals who have lower English literacy. American Sign Language (ASL) is not simply a method of representing English sentences. It is possible for an individual to be fluent in ASL, while having limited fluency in English. To overcome this barrier, we aim to make it easier to generate ASL animations for websites, through the use of motion-capture data recorded from human signers to build different predictive models for ASL animations; our goal is to automate this aspect of animation synthesis …


Among Us, Kaixin Chen Dec 2021

Among Us, Kaixin Chen

Theses

The networked society provides an extremely complex environment where we are free to swim, and to sink. In this thesis, I used different materials and forms to visualize this concept. The final work is a series of human faces floating from the water surface with steady gaze. Affected by the background of my sculpture and oil painting, I explored how to combine the two, and drew a 3D portrait, then completely transformed from two-dimensional to three-dimensional, and produced a set of installations with repeated face elements. With the experience and emotional response to working three-dimensionally, I once again returned to …


Continuous Variable Quantum Compilation Analysis, Federico Rueda Dec 2021

Continuous Variable Quantum Compilation Analysis, Federico Rueda

Theses

Over the last few years quantum computers have rose to prominence as a solution for increasing computing power and tackling problems intractable by classical computers. Classical computers have struggled to meet the ever-increasing demand for data processing and modeling. Thus, quantum computers would meet the demand for heavy computing tasks that classical computers could never achieve. Today there exist two promising quantum technologies that have the potential to prove quantum supremacy in the near future: super-conducting qubits and Continuous Variable (CV) model. Out of the two, superconducting qubits have been at the forefront of quantum computing research. NISQ (Noise intermediate-scale …


Smart Urban Solutions For Low-Income Neighborhoods In Dubai: Hor Al Anz Area As A Case Study, Alaa Yahia Ragab Eleraqi Dec 2021

Smart Urban Solutions For Low-Income Neighborhoods In Dubai: Hor Al Anz Area As A Case Study, Alaa Yahia Ragab Eleraqi

Theses

The project’s main objective is to study and assess the current situation and future setup of implementing smart solutions technologies, and the main challenges facing the growth in Dubai in general and the Hor Al Anz neighborhood in Dubai in particular. The expected results and outcomes of this study are illustrated in this research report. The project report consists of 5 parts. Part 1 covers the implemented initiatives and presents the problem statement and the historical background of the case study area by showing why did I select the Hor Al Anz neighborhood in Dubai (Figure 1 below). The purpose …


Test Naming Failures. An Exploratory Study Of Bad Naming Practices In Test Code, Zachariah Wigent Dec 2021

Test Naming Failures. An Exploratory Study Of Bad Naming Practices In Test Code, Zachariah Wigent

Theses

Unit tests are a key component during the software development process, helping ensure that a developer's code is functioning as expected. Developers interact with unit tests when trying to understand, maintain, and when updating code. Good test names are essential for making these various processes easier, which is important considering the substantial costs and effort of software maintenance. Despite this, it has been found that the quality of test code is often lacking, specifically when it comes to test names. When a test fails, its name is often the first thing developers will see when trying to fix the failure, …