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Cyber Attacks On Power System Substations, Turkei Abdulla Aldarrai
Cyber Attacks On Power System Substations, Turkei Abdulla Aldarrai
Theses
Modern cyber-physical smart power grids are increasingly relying on their associated cyber networks to fulfill a variety of monitoring and control activities, which unavoidably results in a rise in cyber vulnerabilities. In light of the likely cyber risks, it is crucial to create efficient ways for evaluating the overall sufficiency of power systems thoroughly. Cybersecurity must be implemented inside the smart grid to ensure the safe and dependable operation of this new type of electrical network. The use of standardized procedures and solutions is generally agreed upon amongst experts as the best starting point. The past several years have seen …
An Empirical Investigation Into Current And Future Overheating Frequency In Nzeb And Passivhaus Dwellings In Ireland, Evan Finegan
An Empirical Investigation Into Current And Future Overheating Frequency In Nzeb And Passivhaus Dwellings In Ireland, Evan Finegan
Theses
The European Performance of Buildings Directive (EPBD) 2011, ensures that all new Irish dwellings designed after 01st November 2019 are nearly zero energy (nZEB) dwellings. The Passive House (PH) standard has been the most commonly applied energy standard across the globe in recent decades, while overheating is identified as a growing issue in nZEB and PH dwellings. The EPBD requires all dwellings to be designed to reduce energy consumption, while considering general indoor climate conditions to avoid the negative effects of overheating. Overheating frequency simulations are not mandatory for dwellings under Irish legislation. Anticipated climate change trends will result in …
Analysis Of Global Banking Network, Sonali Kannan
Analysis Of Global Banking Network, Sonali Kannan
Theses
The outbreak of the Global Pandemic Covid-19 that spread terribly across various countries from the end of 2019, has severely altered people’s life and economy. Various reports across papers and news articles on how each government was managing the costs of vaccines, medical equipment, and necessities. The world saw shifts in stock markets, unemployment, the tourism industry completely coming to a standstill, and more. Has this Covid Pandemic which played a crucial role within geographical boundaries altered the financial transactions across countries on a higher level? With the help of the statistics available with the Bank of International Settlements, this …
Probing The Processes Of Planet Formation Via Studies Of The Ε Chameleonitis Association, D. Annie Dickson-Vandervelde
Probing The Processes Of Planet Formation Via Studies Of The Ε Chameleonitis Association, D. Annie Dickson-Vandervelde
Theses
Nearby Young Moving Groups (NYMGs), i.e., loose groups of stars of agevicinity, present ideal, accessible observational laboratories for studies on star and planet formation. Studying individual members of NYMGs, especially those hosting protoplanetary disks, in the infrared and millimeter regimes gives astronomers key information on disk evolution and the planet formation process. In this dissertation, I present an analysis of newly available data for members of one of the youngest known NYMGs, the Epsilon Chameleonitis Association (ECA), including detailed studies of two ECA members that host protoplanetary disks viewed at high inclinations (i.e. within ~30 degrees of edge-on). Through analysis …
Effects Of Wettability, Lithology, And Permeability On The Optimum Slug Size Of Low Salinity Water Flooding In Carbonates: An Experimental Approach, Hala Khaled Hasan Alshadafan
Effects Of Wettability, Lithology, And Permeability On The Optimum Slug Size Of Low Salinity Water Flooding In Carbonates: An Experimental Approach, Hala Khaled Hasan Alshadafan
Theses
Low salinity water flooding has attracted academic and industry communities due to its relatively simple and applicable technology. One of the drawbacks of applying the IOR/EOR technique is the lack of the availability of low salinity water in large quantities at the reasonable cost required for a technically and environmentally successful project. To overcome this problem, the industry proposed to use produced water/sea water after dilution, and reverse osmosis filter technology to achieve the required salinity. Both techniques are quite costly and might hinder the project's economic success. Low salinity water as slug size followed by high salinity water was …
Asssembly And Deployment Of The Uaeu 256-Element Radio Array For Space Science, Ibrahim J.M. Alghoul
Asssembly And Deployment Of The Uaeu 256-Element Radio Array For Space Science, Ibrahim J.M. Alghoul
Theses
The scope of this project, a 256-element Radio Interferometer Array was assembled and deployed as part of the “UAEU Radio Astronomy Pathway Project”, which is jointly supported by the College of Science and the National Space Science & Technology Centre (NSSTC) at the UAE University. This antenna array was deployed at the NSSTC site, and it will serve as the central part of the ground-based radio observations facility to be utilized for multi-disciplinary space science research at the UAEU. The facility is capable of making low-frequency radio observations of astronomical sources and events, measurements for spacecraft tracking, atmospheric studies, planetary …
The Interactive Simulation Of Mars Dust Storms With The Mars General Circulation Model Marswrf At The Resolution Of 7.5°×9° (Latitude By Longitude), Khulood Hasan Alshehhi
The Interactive Simulation Of Mars Dust Storms With The Mars General Circulation Model Marswrf At The Resolution Of 7.5°×9° (Latitude By Longitude), Khulood Hasan Alshehhi
Theses
The Mars dust cycle, including dust storms, has a great impact on the temperature, and the climate in general, on Mars. Dust particles in the atmosphere have a great capacity for absorbing/emitting infrared radiation resulting in large changes in the Martian climate. Local and regional dust storms occur in any Martian Year (MY), but global dust storm events (GDEs), which can cover the whole planet, occur, on average, once every 3-4 MYs. MarsWRF is a Mars version of the terrestrial numerical weather and climate model WRF (Weather Research and Forecasting Model) and part of the Planet WRF models for planetary …
Deep Learning Based Segmentation And Classification For Improved Breast Cancer Detection, Bita Khosrow Asadi Khosrow Asadi
Deep Learning Based Segmentation And Classification For Improved Breast Cancer Detection, Bita Khosrow Asadi Khosrow Asadi
Theses
Breast Cancer is a leading killer of women globally. It is a serious health concern caused by calcifications or abnormal tissue growth in the breast. Doing a screening and identifying the nature of the tumor as benign or malignant is important to facilitate early intervention, which drastically decreases the mortality rate. Usually, it uses ultrasound images, since they are easily accessible to most people and have no drawbacks as such, unlike in the other most famous screening technique of mammograms where in some cases you may not get a clear scan. In this thesis, the approach to this problem is …
Aerodynamics And Aeroacoustics Optimization Of Vehicle’S Side Mirror Base And Exhaust Pipe, Moath Nayef Mohamed Zaareer
Aerodynamics And Aeroacoustics Optimization Of Vehicle’S Side Mirror Base And Exhaust Pipe, Moath Nayef Mohamed Zaareer
Theses
This thesis is concerned with studying two different vehicle parts in terms of aerodynamics and aeroacoustics. Two main factors determine the efficiency and luxury of the vehicle, the low aerodynamic forces and low noise emission. The aerodynamic drag coefficient is concerned with how easy a vehicle can travel through the air; the lower the value, the less fuel is needed to move the vehicle forward and less air resistance the vehicle faces. The aerodynamic lift coefficient is related to vehicle ground stability, and the more negative the value is, the higher the vehicle's stability. Moreover, the aeroacoustics is concerned with …
Robust Detection Of Coronary Heart Disease Using Machine Learning Algorithms, Anas Haitham Domyati
Robust Detection Of Coronary Heart Disease Using Machine Learning Algorithms, Anas Haitham Domyati
Theses
Predicting whether or not someone will get heart or cardiac disease is now one of the most difficult jobs in the area of medicine. Heart disease is responsible for the deaths of about one person per minute in the contemporary age. Processing the vast amounts of data that are generated in the field of healthcare is an important application for data science. Because predicting cardiac disease is a difficult undertaking, there is a pressing need to automate the prediction process to minimize the dangers that are connected with it and provide the patient with timely warning. The chapter one in …
Distribution Modelling Of Socotra Cormorant Using Maxent, Areej Mustafa Jaradat
Distribution Modelling Of Socotra Cormorant Using Maxent, Areej Mustafa Jaradat
Theses
This thesis is concerned with species distribution modeling of the Socotra Cormorant (Phalacrocorax nigrogularis), a regionally endemic seabird to the Arabian Gulf, the Arabian Sea, and the Gulf of Aden. Socotra Cormorants are important for the marine ecosystem as they apply top-down control and maintain the balance between trophic levels. They also contribute to the cycling of nutrients significantly. The bird is categorized as vulnerable by the IUCN. Large portions of their suitable habitat are disturbed or degraded due to oil exploration and coastal development. The seabird is poorly studied in every ecological aspect. The main objective of …
Determining Knowledge From Student Performance Prediction Using Machine Learning, Wala El Rashied Mohamed
Determining Knowledge From Student Performance Prediction Using Machine Learning, Wala El Rashied Mohamed
Theses
Recent years have seen a rapid development in the field of educational data mining (EDM), enhancing the ability to trace student knowledge. Data from intelligent tutoring systems (ITS) have been analyzed and interpreted by multiple researchers seeking to measure students’ knowledge as it evolves. Human nature, as well as other factors, makes it difficult to determine whether or not students are knowledgeable. This thesis sets out to examine the level of students’ knowledge by predicting their current and future academic performance based on records of their historical interactions. By restructuring data and considering a student perspective, we can gain insight …
A Multi-Criteria Decision-Making (Mcdm) Approach For Data-Driven Distance Learning Recommendations, Aysha Meshaal Alshamsi
A Multi-Criteria Decision-Making (Mcdm) Approach For Data-Driven Distance Learning Recommendations, Aysha Meshaal Alshamsi
Theses
Distance learning has been adopted as an alternative learning strategy to the dominant face-to-face teaching methodology. It has been largely implemented by many governments worldwide due to the spread of the COVID-19 pandemic and the implication in enforcing lockdown and social distancing. In emergency situations distance learning is referred to as Emergency Remote Teaching (ERT). Due to this dynamic, sudden shift, and scaling demand in distance learning, many challenges have been accentuated. These include technological adoption, student commitments, parent involvement, and teacher extra burden management, changes in the organization methodology, in addition to government development of new guidelines and regulations …
High Error Rate Qubit Routing, Sean Bonaventure
High Error Rate Qubit Routing, Sean Bonaventure
Theses
The current state of quantum computers is characterized by its limited resources and high noise levels. These are known as Noisy Intermediate Scale Quantum Computing (NISQ). Reduction of noise is addressed at the technology level, while noise mitigation strategies have been proposed through the compilation process of quantum circuits. The compilation process entails a number of steps that are computationally intensive and scale poorly as the problems grow in size and resource usage. This paper addresses the problems associated with noise by proposing a noise aware qubit routing algorithm. This algorithm attempts to improve accuracy of circuits by using SWAP …
Quantifying The Effects Of Customer Predictability On Battery Energy Storage System Cost And Emissions, Mudit Bhadresh Purohit
Quantifying The Effects Of Customer Predictability On Battery Energy Storage System Cost And Emissions, Mudit Bhadresh Purohit
Theses
Electricity providers are using variable pricing to encourage customers to shift energy consumption from “peak” times. This presents a great opportunity for the customers to reduce their bills using this variable pricing strategy coupled with a battery energy storage system (BESS). The schedule of charging and discharging the BESS depends on the forecasted customer demand data. Forecasts are bound to have a certain degree of error associated with them, and hence it becomes important to understand the effect of these forecasting errors on the cost and the emissions associated with scheduling of the BESS. In this work, a method has …
Supporting The Maintenance Of Identifier Names: A Holistic Approach To High-Quality Automated Identifier Naming, Anthony S. Peruma
Supporting The Maintenance Of Identifier Names: A Holistic Approach To High-Quality Automated Identifier Naming, Anthony S. Peruma
Theses
A considerable part of the source code is identifier names-- unique lexical tokens that provide information about entities, and entity interactions, within the code. Identifier names provide human-readable descriptions of classes, functions, variables, etc. Poor or ambiguous identifier names (i.e., names that do not correctly describe the code behavior they are associated with) will lead developers to spend more time working towards understanding the code's behavior. Bad naming can also have detrimental effects on tools that rely on natural language clues; degrading the quality of their output and making them unreliable. Additionally, misinterpretations of the code, caused by poor names, …
Color In Pharma: Color Associations And Expected Efficacies, Rema M. Amawi
Color In Pharma: Color Associations And Expected Efficacies, Rema M. Amawi
Theses
Colors influence our daily perceptions and expectations which can manifest in a variety of ways. This research has three main objectives: the first is to demonstrate this effect on the relationship between the colors of pills and their perceived and expected efficacies. The second is to test this effect on a wide variety of demographics, thereby demonstrating that categories such as ethnicity, location, age, gender, educational levels, and pill usage frequency can influence the choices made by participants. Finally, the third objective is to understand the reasoning behind the choices made by participants, as well as the color associations exhibited. …
Un-Fair Trojan: Targeted Backdoor Attacks Against Model Fairness, Nicholas Furth
Un-Fair Trojan: Targeted Backdoor Attacks Against Model Fairness, Nicholas Furth
Theses
Machine learning models have been shown to be vulnerable against various backdoor and data poisoning attacks that adversely affect model behavior. Additionally, these attacks have been shown to make unfair predictions with respect to certain protected features. In federated learning, multiple local models contribute to a single global model communicating only using local gradients, the issue of attacks become more prevalent and complex. Previously published works revolve around solving these issues both individually and jointly. However, there has been little study on the effects of attacks against model fairness. Demonstrated in this work, a flexible attack, which we call Un-Fair …
The Interconnection Of The Vestibular And Oculomotor Systems Analyzed In Healthy Young Adults By Examining Postural Sway, Cassandra Martin
The Interconnection Of The Vestibular And Oculomotor Systems Analyzed In Healthy Young Adults By Examining Postural Sway, Cassandra Martin
Theses
In order to study the human brain in a non-invasive way, the vestibular and oculomotor systems have been analyzed simultaneously. To achieve this, an eye movement and balance assessment was conducted for 29 (23 male; 21.6 ± 3.8 years) healthy participants with no history of concussions, brain injuries, vertigo, migraines, brain surgeries, eye surgeries, or amblyopia. The tasks consisted of eyes open, eyes closed, horizontal saccades, vertical saccades, vergence jumps, horizontal vestibulo-ocular reflex (VOR), and vertical VOR. Each task was completed in two stances: feet shoulder width apart and feet together. Distance, velocity, sway area, center of pressure (COP) frequency, …
Evaluation Of The Accessibility Of Touchscreens For Individuals Who Are Blind Or Have Low Vision: Where To Go From Here, Elizabeth Codick
Evaluation Of The Accessibility Of Touchscreens For Individuals Who Are Blind Or Have Low Vision: Where To Go From Here, Elizabeth Codick
Theses
Touchscreen devices are well integrated into daily life and can be found in both personal and public spaces, but the inclusion of accessible features and interfaces continues to lag behind technology’s exponential advancement. This thesis aims to explore the experiences of individuals who are blind or have low vision (BLV) while interacting with non-tactile touchscreens, such as smartphones, tablets, smartwatches, coffee machines, smart home devices, kiosks, ATM machines, and more. The goal of this research is to create a set of recommended guidelines that can be used in designing and developing either personal devices or shared public technologies with accessible …
Buyer Prediction Through Machine Learning, Rashed Ibrahim Karmostaje
Buyer Prediction Through Machine Learning, Rashed Ibrahim Karmostaje
Theses
Targeted marketing has grown in popularity in recent years, as well as recognizing when a consumer will desire a commodity may be extremely important to a business. Predicting this demand, however, is a complex procedure. Businesses, promoters/marketers, and sellers are using machine learning approaches to execute buyer prediction. This study focuses on when a customer would buy fast-moving retail merchandise by evaluating a customer’s purchase history at partner vendors. The projections should be used to customize special discounts for customers who are about to make a purchase. In addition, buying behavior is a set of consumption habits that can be …
Hourly Demand Prediction Of Shared Mobility Ridership, Eman Asa'ad
Hourly Demand Prediction Of Shared Mobility Ridership, Eman Asa'ad
Theses
This research focuses on predicting the hourly number of bikes needed using Citi bike data. Micro mobility is the new trend that serves the transportation sector in any city. With the development of technology and introduction of new modes, comes new challenges. Bike sharing is the most developed and standard micro mobility device with extensive data sources. In this research we introduce the rebalancing bike sharing problem, which is very recent and interesting problem. Bikes are being ridden from a station and returned to another, not necessarily the same one of departure, this procedure can cause some stations to be …
Using An Agent Based Model And Deep Learning To Simulate And Infer Market Behavior On Networks, Benjamin Weir
Using An Agent Based Model And Deep Learning To Simulate And Infer Market Behavior On Networks, Benjamin Weir
Theses
The financial markets have been affected by the recent advancements in social media. Retail traders often use social media as a source of financial information. This thesis provides a mathematical proof of concept for how retail traders on social media can cause a large change in market price and that it is possible to identify the factors that drive the price change before it is seen in the market. An Agent Based Model is used to simulate a self-contained artificial market on a network. Traders gather pricing information from social media posts created by traders on the network and their …
Exploring Digital Checking: Evolution, Technology, And Future Directions, Mohammed Hasan Saleh Bamasood
Exploring Digital Checking: Evolution, Technology, And Future Directions, Mohammed Hasan Saleh Bamasood
Theses
This capstone project sought to explore the evolution of digital/electronic checking, assess how technology and other factors fueled the development of digital electronic checking, evaluate if the sampled research literature indicate that the desirable attributes of a payment instrument have been fully addressed; and analyze issues that deter the digital/electronic checking system to fully integrate the six most desirable attributes for a payment instrument in order to recommend possible directions for future research and design implementation. The project utilized integrative review as its methodology and adopted a theoretical framework based on the input-process-output model to guide the analysis and presentation …
Hate Speech Detection In A Mix Of English And Hindi-English (Code-Mixed) Tweets, Mohamed Sameer
Hate Speech Detection In A Mix Of English And Hindi-English (Code-Mixed) Tweets, Mohamed Sameer
Theses
With the increasing usage of social networking platforms seen over recent years, there has been an extensive rise in hate speech usage between the users. Hence, Government and social media platforms face lots of responsibility and challenges to control, detect and eliminate massively growing hateful content as early as possible to prevent future criminal acts such as cyber violence and real-life hate crimes. Since Twitter is used globally by people from various backgrounds and nationalities, the platform contains tweets posted in different languages, including code-mixed language, namely Hindi-English. Due to the informal format of tweets with variations in spelling and …
Opinion Mining Of Phone Sitting Feature, Atiq Yousuf Ahmad
Opinion Mining Of Phone Sitting Feature, Atiq Yousuf Ahmad
Theses
This report aims to evaluate opinion mining of customers about phone sitting features in cell phones in different brands across the world by using data mining techniques. Therefore, Data for the report has been collected from data scrapping in Qoura which collects opinion of customers. The collected information from the data base has evaluated by using sentiment analysis. The collected information from Qoura transforms the content and extracts data from API’s. In relation to this, information obtains from the research contributed for providing useful information for these features. The collected information from application scrapping has been analysed through sentiment analysis. …
Finding The Meaning In Ceramic Patterns From A Chaco Canyon Burial, Michael Lucero
Finding The Meaning In Ceramic Patterns From A Chaco Canyon Burial, Michael Lucero
Theses
The focus of this research considers the culture of the Ancestral Puebloans from the American Southwest region. This project reflects and examines the cultural arts and practices in relation to funerary aspects of the ancient Puebloan society that flourished in Chaco Canyon, located in present-day New Mexico. While investigations of historians and archaeologists have concentrated on findings within the Great House of Pueblo Bonito in Chaco Canyon, research focused on the structures and objects within rooms. The base of this research examines a collective set of vessels from burial room 33, excavated from the original exhibition of George H. Pepper, …
I, Object, Shanee Gordon
I, Object, Shanee Gordon
Theses
I, Object is a 3D animated film which dives into the difference between intrinsic value and perceived value, both by an individual and by society, through an anthropomorphized world where household objects must do what they can to survive the onslaught of a depressed, do-it-yourself, divorcee. Following the mockumentary format, these objects are interviewed about the situation they find themselves in. The different personalities and dynamics between the characters brings a comedic element to an otherwise serious encounter. Opening with how the situation has progressed until the moment the filming crew arrived, the film jumps between characters but sticks to …
Scents Of Memory In The Film: Tender Scent, Teng Chen
Scents Of Memory In The Film: Tender Scent, Teng Chen
Theses
Tender scent is a film about perfumer Rita who finds that her favorite scents are all leading to the memory of her loved one whom she lost forever. Throughout the project year, I tried to visualize the protagonist’s feeling of the scents and deliver the emotions to the audience. There were several versions of the story during scriptwriting. The revisions happened due to the fact of psychology and the build-up of the character arc. The difficulty of blending the character-study story with active and attractive plots made me decide to have a non-linear story structure. We spent three months on …
Body-Worn Cameras (Bwc): The Sword And Shield For Defense Attorneys, Joseph Santoro
Body-Worn Cameras (Bwc): The Sword And Shield For Defense Attorneys, Joseph Santoro
Theses
The use of body-worn camera (BWC) technology in the criminal justice system has brought with it new ways of handling cases and effecting interactions between police officers and citizens. BWC use in the criminal justice system begins when the cameras are turned on and depending on circumstances, the captured footage may become valuable evidence to then be entered into court for trials. Amongst the studies of BWC, two criminological theories have stood out the most. Deterrence theory and self-awareness, both provide explanation towards what kind of power and influence BWC has over officers, citizens, and court actors. The first is …