Digital Commons Network^™

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

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

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

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 …

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 …

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

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 …

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, …

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 …

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 …

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 …

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 …

Suno ("Listen"), Kajal Kohli

Theses

Suno (“Listen” in Hindi) is a 3D Animated Short that revolves around our main character Sid’s day in his life where he decides to find someone who would listen to him about what he’s going through without passing judgement of their own. Sid is an 18-year-old boy living in a typical Indian household with his parents and grandmother. Sid has always been a brilliant student academically and has had accolades in sports rendering him in what one may call an astounding over-all achiever. Even so, he has started to feel burned out and depressed. He has gone into his own …

Winner, Yizhang Liu

Theses

Winner is an animated 3D graduate thesis film. The entire film, including the credits, is 4 minutes 34 seconds long. The production phase went from August 2020 to December 2021. The story is about an old man who wants to profit from a robot he invented, but finally paid for his selfishness in the end. The man is a robot inventor. He uses a chip to control the robot and uses it to participate in the robot fighting competition. His robot won one championship after another, and he was rewarded with bags after bags of money. He became richer and …

Ivalet – A Smart Parking Reservation System, Aaesha Alrefaei

Theses

In the current time with the continuously increasing population in the world generally and in big cities like Dubai particularly, many problems arise related to traffic and transportation. Due to covid-19 virus spread pandemic, WHO is submitting different regulations and recommendation for the need of social distancing along with avoiding any activities that might increase the possibility of the virus spread and minimize the number of infected people to save more lives. The need for decreasing the usage of the public transportation in Dubai have created parking issues in the city, streets, and buildings. One of the preferred solutions by …

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 …

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

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

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 Effect Of Green Biobased Binder On Structural, Mechanical, Liquid Absorption And Wetting Properties Of Coated Papers, Bilge N. Altay, Charles Klass, Ting Chen, Alexandar Fleck, Cem Aydemir, Arif Karademir, Paul D. Fleming

Articles

Synthetic styrene-butadiene (SB) and styrene-acrylic (SA) latex binders used in paper coating formulations are common and based on unsustainable petroleum sources. Today's papermaking industry turns towards sustainable substitutes that do not compromise quality, and reduce carbon emission, toxic substance release and waste disposal concerns related to fossil fuel sources. In this study, colloidal starch-based latex nanoparticles that do not require cooking were used for pigment coating and coated on the paper surfaces. The effects of these new biobased binders on the structural and mechanical strength properties, liquid absorption, wetting and surface topography of the paper were investigated and compared with …

On Preserving The Behavior In Software Refactoring: A Systematic Mapping Study, Eman Abdullah Alomar, Mohamed Wiem Mkaouer, Christian D. Newman, Ali Ouni

Articles

Context: Refactoring is the art of modifying the design of a system without altering its behavior. The idea is to reorganize variables, classes and methods to facilitate their future adaptations and comprehension. As the concept of behavior preservation is fundamental for refactoring, several studies, using formal verification, language transformation and dynamic analysis, have been proposed to monitor the execution of refactoring operations and their impact on the program semantics. However, there is no existing study that examines the available behavior preservation strategies for each refactoring operation.

Objective: This paper identifies behavior preservation approaches in the research literature. Method: We conduct, …

Neural Network Models For Tcp - Syn Flood Denial Of Service Attack Detection With Source And Destination Anonymization, Sahil Anande

Theses

The Internet has become a necessity in today's digital world, and making it secure is a pressing concern. Hackers are investing ever-increasing efforts to compromise Internet nodes with novel techniques. According to Forbes, every minute, $ 2,900,000 is lost to cybercrime. A common cyber-attack is Denial of Service (DoS) or Distributed Denial of Service (DDoS) attacks, which may bring a network to a standstill, and unless mitigated, network services could be halted for an extended period. The attack can occur at any layer of the OSI model. This thesis focuses on SYN Flood DoS/DDoS attacks, also known as TCP Flood …

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 …

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 …

Measuring Shadows: Fpga-Based Image Sensor Control Systems For Next-Generation Nasa Missions, Irfan Rafi Punekar

Theses

Astronomy and astrophysics are fields of constant growth and exploration, and discoveries are being made every day. Behind each discovery, however, is the equipment and engineering that makes that science possible. The science and engineering go hand in hand in two ways: advances in engineering make new scientific discoveries possible, and new scientific questions create the need for more advanced engineering. The work that led to this thesis is an example of the latter statement. The big-picture goal is to support the development of next-generation detectors such as the Quanta Image Sensor (QIS), a gigapixel-scaleble Complementary Metal-Oxide Semiconductor (CMOS) photon-number …

The Use Of Reverse Vending Machine (Rvm) For Less Plastic In Dubai, Sarah Obaid Al Shamsi

Theses

Plastic pollution is affecting negatively on the environment, it affects trees, animals, marine life, and even humans. One of the most common plastic types is plastic bags, it is widely spread due its special characteristics such as light weigh, and cheap price. In Dubai City, plastic bags are widely used especially in the supermarkets, with the increase in the population of Dubai, the number of plastic bags will increase and the impacts will be more appearance. Dubai City is a leading city in the region for its ability to change and adapt with new strategies that serves the citizen and …

Evaluation Of Neuro-Evolution Algorithms For Tactic Volatility Aware Processes, Aizaz Ul Haq

Theses

Our society is increasingly evolving to rely on computer mechanisms that perform a variety of tasks. From a self-driving car to a satellite in space relaying data from Mars rovers, we need these systems to perform optimally and without failure. One such point of failure these systems can encounter is tactic volatility of an adaptation tactic. Adaptation tactics are defined workflows that allow systems to navigate their environment. Tactic volatility is the variance in the behavior in the attribute of a tactic, such as cost and latency and/or the combination of the two. Current systems consider these tactic attributes to …

Feasibility Of Twitter Sentiment Analysis In Predicting Crime In The Uae, Rashed Khalifa Alsubousi

Theses

In this study, we demonstrate how the information provided by individuals on social media can represent some aspects of their behavior to predict criminal activities and intentions in societies. The problem discussed in this study is finding a model that can analyze social media posts to infer the intentions and feelings of the publisher behind those posts to predict the probability of committing a crime. This is a preventive technique that can be used to monitor individuals or organizations who have a behavioral pattern that can be inferred as criminal intent. To help detect and predict criminal activities, we observe …

Used Cars Price Prediction And Valuation Using Data Mining Techniques, Abdulla Alshared

Theses

Due to the unprecedented number of cars being purchased and sold, used car price prediction is a topic of high interest. Because of the affordability of used cars in developing countries, people tend more purchase used cars. A primary objective of this project is to estimate used car prices by using attributes that are highly correlated with a label (Price). To accomplish this, data mining technology has been employed. Null, redundant, and missing values were removed from the dataset during pre-processing. In this supervised learning study, three regressors (Random Forest Regressor, Linear Regression, and Bagging Regressor) have been trained, tested, …

Two-Way Load Flow Analysis Using Newton-Raphson And Neural Network Methods, Aya Emad Omar Al Shaltouni

Theses

This research presents a study of the optimal power flow for networked microgrids with multiple renewable energy sources (PV panels and wind turbines), storage systems, generators, and load. The OPF problem is performed using a conventional method and an Artificial Intelligence method. In this research, we investigated the performance of MGs system with renewable energy integration with focus on power flow studies. The calculation of the power flow is based on the well-known Newton-Raphson method and Neural Network method. The power flow calculation aims to evaluate the grid performance parameters such as voltage bus magnitude, angle, real and reactive power …