Digital Commons Network^™

Accelerating Transitive Closure Of Large-Scale Sparse Graphs, Sanyamee Milindkumar Patel

Theses

Finding the transitive closure of a graph is a fundamental graph problem where another graph is obtained in which an edge exists between two nodes if and only if there is a path in our graph from one node to the other. The reachability matrix of a graph is its transitive closure. This thesis describes a novel approach that uses anti-sections to obtain the transitive closure of a graph. It also examines its advantages when implemented in parallel on a CPU using the Hornet graph data structure.

Graph representations of real-world systems are typically sparse in nature due to lesser …

Human Activity Recognition Using Wearable Sensors: A Deep Learning Approach, Jialun Xue

Theses

In the past decades, Human Activity Recognition (HAR) grabbed considerable research attentions from a wide range of pattern recognition and human–computer interaction researchers due to its prominent applications such as smart home health care. The wealth of information requires efficient classification and analysis methods. Deep learning represents a promising technique for large-scale data analytics. There are various ways of using different sensors for human activity recognition in a smartly controlled environment. Among them, physical human activity recognition through wearable sensors provides valuable information about an individual’s degree of functional ability and lifestyle. There is abundant research that works upon real …

Incident Duration Time Prediction Using A Supervised Topic Modeling Method, Jihyun Park

Theses

Precisely predicting the duration time of an incident is one of the most prominent components to implement proactive management strategies for traffic congestions caused by an incident. This thesis presents a novel method to predict incident duration time in a timely manner by using an emerging supervised topic modeling method. Based on Natural Language Processing (NLP) techniques, this thesis performs semantic text analyses with text-based incident dataset to train the model. The model is trained with actual 1,466 incident records collected by Korea Expressway Corporation from 2016-2019 by applying a Labeled Latent Dirichlet Allocation(L-LDA) approach. For the training, this thesis …

Impact Of The Emergency Use Authorization On Ventilator Innovation, Krista Stanislow

Theses

Innovation in the medical device industry is crucial to continuously improve the health and wellbeing of society. The U.S. Food and Drug Administration (FDA) is responsible for ensuring the safety and effectiveness of medical devices on the market while balancing the need for continuous innovation. One way the FDA has tried to support innovation is through the development of the 510(k) pathway, which does not require clinical testing as the safety of the device is determined based on a predicate device. Many companies choose to develop products that can obtain approval through the 510(k) pathway. While the 510(k) pathway is …

Social Isolation, Fear Of Missing Out, And Social Media Use In Deaf And Hearing College Students, Conor Lake

Theses

This study investigated the relationships between social isolation, fear of missing out, self-esteem, and social media usage, and whether these relationships are different in deaf and hearing college students. Data were collected from 191 individuals (46 Deaf/Hard of Hearing, 145 hearing) via an online survey. Variables included number of social media accounts, time spent (in hours) on social media, number of times per day social media is accessed, FOMO, social media use, hearing status/identity, self-esteem, social isolation, and social media disorder. Correlational tests were conducted separately for hearing and for Deaf/HH participants. The groups had an unequal distribution of gender, …

Automatic Pain Assessment Through Facial Expressions, Ilham Seladji

Theses

Pain is a strong symptom of diseases. Being an involuntary unpleasant feeling, it can be considered as a reliable indicator of health issues. Pain has always been expressed verbally, but in some cases, traditional patient self-reporting is not efficient. On one side, there are patients who have neurological disorders and cannot express themselves accurately, as well as patients who suddenly lose consciousness due to an abrupt faintness. On another side, medical staff working in crowded hospitals need to focus on emergencies and would opt for the automation of the task of looking after hospitalized patients during their entire stay, in …

The Role And Mechanism Of Cytochrome P450 1b1 On The Development Of Atherosclerosis; Producing The Animation For Visual Communication And Education., Joon Yeol Ryu

Theses

A large number of people are suffering from cardiovascular disease and losing their lives because of it. Atherosclerosis, a classic example of cardiovascular disease, is related to cytochrome p450 1B1 and other molecules in the development of the disease. Educational materials for patients and students on this topic are expected.

Advantage, role and effectiveness of three-dimensional (3D) animation as a communication tool in biomedical science research and education have been proved. Therefore, 3D animation is a suitable medium to create visual material for atherosclerosis and related subject.

Autodesk Maya 3D computer graphics software used for animation from modeling to animating …

Incorporating Electrical Trucks And Automated Container Stacking System In The Ports For Sustainable And Efficient Operations, Maryam Ali Alzaabi, Mariam Ali Abdulla

Theses

In our research we discuss the sustainability and efficiency advantages that come from switching from diesel to electrical trucks and the use of the automated container stacking system in the context of a port operation as an integral part of the economy that contributes to the progress of any city. The main objective is to explore the methods that can be applied to ensure the success of these initiatives, cost barriers, pre-requisites and challenges that go with this decision. In this research our findings demonstrate that switching to electrical trucks instead of diesel significantly reduces the level of emissions, lowers …

A Comparative Study On Statistical And Machine Learning Forecasting Methods For An Fmcg Company, Zenah Yaser Alzubaidi

Theses

Demand forecasting has been an area of study among scholars and businessmen ever since the start of the industrial revolution and has only gained focus in recent years with the advancements in AI. Accurate forecasts are no longer a luxury, but a necessity to have for effective decisions made in planning production and marketing. Many aspects of the business depend on demand, and this is particularly true for the Fast-Moving Consumer Goods industry where the high volume and demand volatility poses a challenge for planners to generate accurate forecasts as consumer demand complexity rises. Inaccurate demand forecasts lead to multiple …

The Portrayal Of African Immigrants: A Framing Analysis Of Newspaper Coverage, Oluwatosin Arowosola

Theses

Immigration has been an interesting subject to the public and a prominent issue that cannot be ignored. Issues such as immigration policies and reforms, fear of immigrants bringing crime, immigrants taking jobs from native-born families, and many more. With the growth of African immigrants increasing in the United States (Pew Research, 2017), and new immigration policies put in place in 2017 during the first year of President Trump’s presidency, this study investigates how African immigrants are portrayed in The New York Times Newspaper. Using Framing theory, this study employed the content analysis method and examined newspaper articles published from 2017 …

Personal Branding Strategies Of Female Entertainment Influencers On Tiktok, Shaofu Wang

Theses

This thesis employs quantitative content analysis to investigate the strategies used by female entertainment influencers (FEI) on TikTok to attract followers. The study investigated the six FEIs with the most followers on the TikTok and Douyin (Chinese version of TikTok), three each from both platforms. This study focuses on the visual framework strategy as the theoretical basis to analyze female entertainment influencers’ videos (N=90). The results show that FEIs tend to wear casual clothes and shoot videos with simple backgrounds. Most shooting angles are half-length or full-body shots, which do not display multiple feminine movements in videos.

Regression analyses were …

Impact Of Professional Sports’ Twitter Content On Their Fans, Gianna Sarkis

Theses

Professional sports organizations have begun to utilize social media to create an online community for fans. These organizations have partnered with companies to create monetary value for the team and the companies, which has led sponsorship from traditional advertising in the arena or venue of the professional sports organization to their team’s Twitter account. I investigated how fans of the professional sports organization recognized sponsored content on the organizations' Twitter pages concerning the Communication Theory of Identity (CTI). I then compared the sponsored and organic contents' interaction rates to see if there were similarities or differences between those rates. The …

Suicide By Cop: A Secondary Analysis Using Open-Source News Data, Mckayla Nolan

Theses

Suicide by cop (SBC) has recently become a known phenomenon in the United States, Canada, Australia and parts on the United Kingdom as another way to complete suicide (Patton & Fremouw,2015). SBC refers to when an individual creates a scenario in which law enforcement agencies are called and have to use deadly force in order to protect themselves and the people around the individual who is attempting to take their life (Mohandie, Meloy, & Collins, 2009). The term suicide by cop was originally coined by a police officer and psychologist Karl Harris in 1983 and is the term that is …

Implementation Of Cloud Services By Using Real-Time Analysis To Reduce Energy Consumption, Ghaith Ahmed Al Zubairi

Theses

Through the continual application of sensors, wireless networking, network communication and cloud computing technology, vast volumes of data are increasingly collected in the energy sector which needs to be utilized for effective management. In this project, the overall perspective is to analyze energy consumption data collected from households’ smart meters in London and combining it with the application of cloud data technology. I will explore and utilize a state-of-the-art cloud service infrastructure to analyze and make smart decisions on managing energy usage. There is interest in using data mining techniques and time series for machine learning modelling to deliver a …

Fda Regulation Impact On Early Stage Medical Device Innovation In Academia, Keyana Fariello

Theses

The commercialization of medical products at the university level is a multilayered and challenging process. One barrier to commercialization is the difficulty of meeting Food and Drug Administration (FDA) regulatory requirements. Regulations and standards are undoubtedly necessary to maintain the highest product safety levels, but it creates many obstacles. This paper will analyze how researchers involved with early-stage medical device innovation in a university setting deal with FDA compliance issues and the implications of this engagement for innovation. I conducted an exploratory case study of ten medical product development projects at the Rochester Institute of Technology (RIT). Overall, I found …

Effects Of Eye Imagery On Criminal Justice And Forensic Students Cheating In Online Testing, Kortni Larue

Theses

Crime Prevention Through Environmental Design (CPTED) is a well-established subsection of environmental criminology in which aspects of the environment are altered in order to prevent crimes before they happen. This is primarily accomplished in two ways: physical and psychological. CPTED strategies often utilize both in order to prevent crime, but there is a lack of primarily psychologically based research in circulation. This includes the manipulation of the biopsychological response to gaze detection in order to increase prosocial behavior. Additionally, there is a lack of studies indicating if CPTED strategies are effective in a classroom setting and even less concerning online …

Bringing Batavia Armory Building Back To Life – Community Center Adaptive Reuse Design, Jiangcheng Li

Theses

Built in 1963 and situated on a 4.6-acre lot in the City of Batavia, the Batavia Armory once housed tank battalions A and B of the Genesee National Guard, but has now remained vacant for decades. Instead of demolishing the armory buildings, providing them with a new role could alleviate the environmental impact, reduce construction time, and lower the cost of investment. At the same time, new features could be brought into the existing building from aesthetic and functional perspectives, and be beneficial to the community. Currently, we are facing the COVID-19 pandemic, and the virus impacts our lives and …

Freedom Of The Light, Kyle R. Padden

Theses

Freedom of the Light is a feature length script that follows the heir to a highly religious kingdom on her journey of self discovery and revelation. Amalye Alsean has spent her entire life in the isolationist kingdom of Caelios, being told that the other inhabitants of the continent are merciless barbaric savages. It is only when she defies her father and experiences the continent herself that she is able to see the lies she has been fed. With her newfound power and knowledge, she must confront her father and enlighten her people. The script explores the relationships between father and …

Dubai Taxi Demand Hotspots Prediction, Samer Kamal Abu Taleb

Theses

Public transportation mode like taxi service consider as an essential service in every city that can serve all gender, age, and level of people, used for to move at any time and everywhere inside or outside the city. with the new entrance of technology for transportation, the taxi industry is undergoing a rapid digital transition like many other fields, that include new inventory like Uber and Careem for taxi sharing used by smartphones. Most of the time, taxi vehicles' distribution is imbalanced due to passengers and taxi drivers' unorganized demand. The plan is always left to the driver to estimate …

Using Advanced Technologies To Connect Communities Through Shared Experiences, Shauna Cross

Theses

Lack of interactions within a shared community creates relationship barriers resulting in isolation, disconnected work teams, missed collaboration opportunities, and an overall shortage of peer connections. Community members feel connected when associations are built on perceived similarities, and the associated experiences have common features. Therefore, it is critical to understand how visually identifying and presenting associations advances opportunities to unite and remedy untapped success within a shared community.

Associations are often distinguished by similarity, contrast, and closeness. It is assumed similar stimuli evoke similar reactions, and therefore assumptions of association and connection are based on (or AKIN to) this. AKIN …

Digime: An Interactive Experience To Ease The Education Of Social Information Sharing, Kexin 'Coco' Wang

Theses

Ever since digital and social media activities made their way into our day-to-day lives, things have become very different. People are continuously glued to their mobile devices, including children. Besides the tv screen time, mobile media time for 0-to-8 year-olds has tripled between 2013 and 2017, from an average of 15 minutes per day to 48 minutes per day1. As digital exposure is increasing at earlier ages, the danger of social information sharing increases as well.

Children do not often realize that they are giving out a vast quantity of their personal information, and even their parents' to the internet …

The Closet, Renee Levasseur

Theses

The story begins with Sophie, the main character, waking up to find her house completely empty. There is no food and her parents are nowhere to be found. She opens all the doors in the house except one the closet at the end of the hallway. Stepping outside, she finds her town to be likewise abandoned, but largely untouched, for mysterious reasons. Her fear growing, Sophie runs down the street, hoping to find someone, anyone, who can help her.

But there is no one, and when she turns the corner, she finds herself back on the same street as her …

Mental Illness Campaigns, Yiming Cui

Theses

The target population of the research is people with mental diseases. It aims to study the symptoms of their illnesses and to understand the pain they encounter from the perspective of these patients. Based on that, this research combines with strong visual design and creative layout, presents art posters with impact and influence. The purpose of the research is to give mental patients recognition, encouragement and care to a certain extent through the art form of posters. This series consists of five posters, each poster describes the five most common mental illnesses in the United States, which are anxiety, obsessive-compulsive …

Secure Outsourced Computation On Encrypted Data, Asma Aloufi

Theses

Homomorphic encryption (HE) is a promising cryptographic technique that supports computations on encrypted data without requiring decryption first. This ability allows sensitive data, such as genomic, financial, or location data, to be outsourced for evaluation in a resourceful third-party such as the cloud without compromising data privacy. Basic homomorphic primitives support addition and multiplication on ciphertexts. These primitives can be utilized to represent essential computations, such as logic gates, which subsequently can support more complex functions. We propose the construction of efficient cryptographic protocols as building blocks (e.g., equality, comparison, and counting) that are commonly used in data analytics and …

The Role Of Ai & Big Data In Habit Formation, Jingyu Cao

Theses

Forming habits are not easy for everyone. It requires professional methods and strong perseverance, which people usually feel hard to do by themself. However, people are eager to form good habits to have a better life.

This study aims to determine how AI & big data could help people to form habits. There are many applications on the market that already use this method to study user behavior in order to provide better service. My research has focused on how to conduct the personal plan and its effects on the action.

In this context, Marvelous is defined as the AI …

Retail Store Ranking Recommender System, Fatmah Ahmed Ali Alkhzami

Theses

Companies have been changing and developing their marketing tools and techniques in order to follow the rapid growth of e-commerce in many aspects, and they specifically try to target customers by offering them the products and services they need using recommender engines. Moreover, the rapid growth in e-commerce resulted in people placing the web as the source of information to buy or sell from. Therefore, other than normal stores, many online shops exist, in different forms, from websites with private domain to thread in online forums. This has advantages which is that people have more options to shop from, but …

Dysphoria Ballet: A Morning Routine, Andrew Sonntag

Theses

Dysphoria Ballet is a short, stop-motion film that portrays the internal morning routine of a particular trans woman. It is based on a series of interviews with a woman early in transition, and is what I consider to be a deconstruction, compression, and expressionist interpretation of these interviews. It was made with her enthusiastic support and approval. In this way, it might be considered a kind of animated documentary, but it is deconstructed to the point of ultimately being shown as a kind of “experimental-narrative” dance film. It is motivated by an exploration and validation of using performative expression as …

Video-Based Iris Feature Extraction And Matching Using Deep Learning, Anisia Jabin

Theses

This research is initiated to enhance the video-based eye tracker’s performance to detect small eye movements.[1] Chaudhary and Pelz, 2019, created an excellent foundation on their motion tracking of iris features to detect small eye movements[1], where they successfully used the classical handcrafted feature extraction methods like Scale InvariantFeature Transform (SIFT) to match the features on iris image frames. They extracted features from the eye-tracking videos and then used patent [2] an approach of tracking the geometric median of the distribution. This patent [2] excludes outliers, and the velocity is approximated by scaling by the sampling rate. To detect the …

Regulation Of Transposable Elements By Tumor Suppressor Protein 53, Andrew J. Rosato

Theses

Multiple transposable elements have been identified by colocalization analysis that display a strong predicted regulatory relationship with p53 associated peaks. RNA-Seq was used to identify differentially expressed transposable elements. ChIP-Seq was used to identify peaks representing transcription factor binding sites in p53 activated cells. The results of both experiments were then combined in a colocalization analysis identifying transposable element locations that were both differentially regulated and located near p53 associated peaks. The colocalization of ChIP-Seq and RNA-Seq analyses allows for the verification of p53’s regulatory role in the expression of transposable elements across the genome. A Monte Carlo simulation was …

Reducing Body Contact Using Smart Mobile App And Machine Learning Soltutions, Rashed Saeed Abdulrahman Shaliya

Theses

The physical contact or the daily body interaction with people by shaking hands, using electronic and payment cards or touching objects such as devices, pens, access cards and gates, all these habits increase the proportion of spreading microbes, viruses and spread diseases among the people all over the world. This project illustrates how body contact can lead to a global disaster by spreading dangerous diseases and deadly viruses among people because of their daily dealings and routine. Analytical techniques were used to explore the relevant data and visualize how body contact increases the infection of a disease to become a …