Digital Commons Network^™

Grating Lobe Suppression Techniques In Sparse Linear And Planar Phased Array Antennas With Reconfigurable Phasor Elements, William M. Current

Theses

With the continual increase in the need for wireless communications, there comes a desire to decrease fabrication costs. One of the primary drivers for the cost of an antenna array is the actual number of antennas used. This number, however, can only be decreased so far for a fixed aperture area without causing undesired secondary main beams, grating lobes, to appear in the radiation pattern. This work aims to analyze the results of two methods for reducing these grating lobes in sparse, scanning phased array antennas. Both of these methods are based upon dual-mode antenna elements, as opposed to single-mode …

A Comparative Study Of Methods For Modeling Python Source Code Semantic Similarity, Binita Gyawali

Theses

In this thesis, we did comparative study of various methods for generating Python source code embeddings and evaluated their effectiveness using semantic labels. We used both word embedding models, such as Word2Vec and GloVe, and document embedding models to capture the semantic meaning of Python source code. In terms of word embedding evaluation, Word2Vec, combined with cosine distance, achieved the highest nearest neighbor precision of 0.5790. For evaluation of Python source code (or document) embeddings, our analysis across two datasets showed that Doc2Vec, paired with cosine distance, outperformed other methods in semantic code similarity detection, achieving an AUROC between 0.80 …

Predictive Modeling In Healthcare, Ibrahim Essa Abdulla Ali Alattar

Theses

Predictive modelling, especially the use of horizontal lines, has become an important tool in clinical practice to help make informed decisions and accurate predictions. This study focuses on the use of horizontal regression in clinical practice, evaluating its effectiveness in revealing patterns and improving the accuracy of predictions. This study introduces the process of developing a linear model, emphasizing the importance of preliminary data analysis, feature selection, and model evaluation. To make sure your model's predictions are accurate, consider key assumptions such as sampling, independence, and homoscedasticity. The main goal is to provide doctors with the knowledge and skills needed …

Characterization Of Curing Kinetics Of An Anisotropic Conductive Adhesive Using Rheology And Differential Scanning Calorimetry, Connor Kirkpatrick

Theses

A kinetic study performed to further the understanding of a novel magnetically aligned anisotropic conductive adhesive (ACA) was performed using differential scanning calorimetry (DSC) and a rheometer, under both isothermal and non-isothermal conditions. Isothermal data was collected at 70, 80, and 90°C, whereas non-isothermal data was collected at 5, 10, 20, and 30°C/min, with results interpreted through the use of an autocatalytic model. For isothermal experiments, the rate of conversion was found to increase with increasing isothermal curing temperature, and this was reflected in the kinetic rate constant. Moreover, the rate constant determined by DSC was found to range from …

Integration Of Blockchain And Cryptographic Techniques For Location Based Services, Rashed Al Shamali

Theses

As digital systems continue to evolve in complexity, protecting user identities and ensuring the secure transmission of data has become paramount. Conventional techniques such as passwords and digital signatures are often insufficient to address modern security threats unless paired with more sophisticated technologies. This thesis proposes a framework that integrates Blockchain Technology with Elliptic Curve Cryptography (ECC) to fortify identity verification protocols and enhance location-obscuring methods. Blockchain’s inherent features of decentralization, immutability, and non-repudiation makes it an ideal platform for secure data exchange. When combined with ECC, which provides robust encryption with smaller key sizes, the system achieves a heightened …

Measurements Of The Sunyaev- Zel'dovich Effect In A Herschel- Spire Survey Of Galaxy Clusters, Ryan Wills

Theses

As the largest gravitationally bound objects in the modern universe, galaxy clusters are excellent environments for studying the large-scale structure and evolution of matter in the cosmos. The environments of galaxy clusters change significantly over time from sites of intense star formation at z ~ 2-4 to mostly quenched objects with very little star formation in the current epoch. During this evolution, galaxy clusters also establish an intra-cluster medium (ICM) of hot plasma, which is typically firmly in place by a redshift of z ~ 1. The properties of the ICM are intimately tied to the formation history of the …

Effect Of Fabrication Pressure And Nmc Cathode Composition On Lpscl Electrolyte For Solid-State Battery Performance Improvement, Winervil James

Theses

Batteries are a key energy storage solution for a sustainable energy future. They provide carbon free power to portable devices such as mobile phones, laptops, and even electric vehicles. With further improvements to battery performance¸ the diversity of machines that can be electrified will increase. Solid state batteries (SSBs) have the potential to provide much greater energy density compared to conventional batteries. Greater energy density will help address the power to size ratio limitation of conventional batteries. Despite improvements in these major areas, SSBs still face some significant operational challenges. The study herein focuses on improving the performance of a …

Discourses Across Periods Of Time, Amanda Raquel Moreno

Theses

This literature review explores the revolutionary effect of generative artificial intelligence (AI) and virtual reality (VR) on digital art history, specifically concentrating on their capacity to enable dialogical exchanges with historical figures and deepen the understanding of artworks. This study considers the current state of research, detecting key methodologies, areas of improvement, and possible challenges and ethical concerns. The example historical figure used in this analysis is the iconic Mexican artist Frida Kahlo. Kahlo’s refusal to correspond to a specific artistic style makes her an ideal subject for generative AI and VR-based investigation, offering fresh insights into her work. The …

Post-War Restitution In The Republic Of Croatia: Awareness Of The Komza And Reconciliation Of Moveable Property Through Public Sculpture, Anita Govic

Theses

This project is a public sculpture prototype focused on the need for post-war art restitution in the Republic of Croatia: it will have an impact by enhancing public knowledge of the KOMZA list, which offers legal proof for families to retrieve heirlooms taken during WWII and the wars of secession from Yugoslavia.

The sculpture design includes three pillars, two etched with the 1529 names from the KOMZA list and a third that will be progressively built, brick-by-brick, as artworks are restituted. The nature of viewers’ interaction includes access to QR codes that offer links to the KOMZA list, information about …

Impactful Interactivity Within Video Games, Luke Robert Maeser

Theses

Despite half a century of existence and dedicated academic programs educating next generations of game developers, conclusive evidence does not exist as to if video games are beneficial to learning or costly. Examining the notion of benefit versus cost, it is important to assess the value of video games when leveraged as tools for learning as traditional educational methodologies are not infallible. This paper explores how video games can generate psychological responses; and therefore, one must conclude learning has occurred. The following is encompassed: meaningful interactivity within video games (regarding narrative and gameplay), video games as educational tools, video game …

Shift Variant Image Deconvolution Using Deep Learning, Arnab Ghosh

Theses

Image Deconvolution is a well-studied problem that seeks to restore the original sharp image from a blurry image formed in the imaging system. The Point Spread function(PSF) of a particular system can be used to infer the original sharp image given the blurred image. However, such a problem is usually simplified by making the shift-invariant assumption over the Field of View (FOV). Realistic systems are shift-variant; the optical system’s point spread function depends on the position of the object point from the principal axis. For example, asymmetrical lenses can cause space variant aberration. In this paper, we first simulate our …

Drone Swarms In Adversarial Environment, Bhavana Sai Yadav Akula

Theses

Drones are unmanned aerial vehicles (UAVs) operated remotely with the help of cameras, GPS, and on-device SD cards. These are used for many applications including civilian as well as military. On the other hand, drone swarms are a fleet of drones that work together to achieve a special goal through swarm intelligence approaches. These provide a lot of advantages such as better coverage, accuracy, increased safety, and improved flexibility when compared to a single drone. However, the deployment of such swarms in an adversarial environment poses significant challenges. This work provides an overview of the current state of research on …

Prediction Of Unplanned 30-Day Readmission Of Heart Failure Patients Using Lstm, Jesdin Raphael

Theses

In the context of heart failure, a leading cause of hospitalization in the United States, approximately 15\% of patients discharged within 30 days face readmission, contributing to escalated healthcare costs and compromised clinical outcomes. This study leverages a wealth of personal information extracted from Emergency Health Records (EHRs) spanning two decades. This research aims to enhance the predictive capabilities of re-hospitalization for cardiac patients by creating a two-stage LSTM model while incorporating features into regression and time series datasets. A critical aspect of this study involves ensuring the integration of all relevant features across both datasets. Including constant data elements, …

Assessing Open Source Tools For Enhanced Forensic Analysis Of Unmanned Aerial Vehicles (Uavs), Nura Shifa Hamed

Theses

The widespread applications of Unmanned Aerial Vehicles (UAVs), commonly referred to as drones, has given rise to significant national security threats due to their illicit activities. Consequently, the domain of UAV forensics is rapidly evolving, presenting a substantial knowledge deficit among forensic experts. Open source tools provide accessible and affordable resources, making it easier for investigators to bridge this gap by gaining expertise in the use of these tools. This helps ensure that forensic professionals can keep up with the ever-changing UAV technology landscape. This thesis undertakes the mission of navigate the complex field of drone forensics and conducting a …

Analysis Of Pharmaceutical Residues In Wastewater From Al Ain, United Arab Emirates Using Liquid Chromatography - Tandem Mass Spectrometry And Circular Dichroism: Potential Hazardous Emergent Contaminants, Maya Iyad Berakdar

Theses

Although water is the second essential substance to life after air, clean water resources in many regions of the world have become limited because of climate change, establishing rivers’ dams and contaminations with hazardous life-threatening chemicals. Pharmaceutical residues in aquatic environments have been recognized as emerging contaminants causing adverse ecological and human health risks. Hundreds of pharmaceutical compounds and their metabolites were found in surface, underground, drinking, and sewage waters in many countries. In the United Arab Emirates, millions of drugs’ dosages are annually used for human, poultry, and veterinary treatments. Drugs execrated as unchanged, metabolites or excesses can find …

Regioselective Catalytic Synthesis Of Potentially Bioactive 1,3,4-Selenadiazole, Mohamed Ali Mahmoud

Theses

Isoselenocyanates have a crucial role as reactants in chemical processes, facilitating the efficient synthesis of significant chemical intermediates and physiologically active chemicals. The utilization of (Z)-2-oxo-N-phenylpropanehydrazonoyl chlorides in a one-step procedure for the synthesis of the core structure of various heterocyclic compounds has been widely explored. This study focuses on the synthesis of 5-arylimino-1,3,4-selenadiazole derivatives through the reaction of isoselenocyanates with various substituted (Z)-2-oxo-N-phenylpropanehydrazonoyl chlorides. The objective is to achieve selective and accurate formation of these derivatives. The derivatives exhibit a diverse range of functional groups on both aryl rings. The synthetic procedure is conducted under ambient conditions, promoting environmental …

Non-Invasive Glucose Detection Using A Triple Pole Csrr Sensor, Chibuike Nnabuife Okika

Theses

A compact, low-cost, portable, non-invasive blood glucose sensor has been designed and presented in this paper. The proposed sensor is a triple-pole square Complementary Split Ring Resonator (CSRR) sensor that is etched on an FR4 substrate. At the bottom of the sensor is coupled an etched Microstrip Transmission Line (MTL) with an impedance matching of 50 Ω, which excites the sensor elements. Utilizing the CSRR-based sensor overcomes the disadvantages of pain and discomfort that the traditional method of pricking the skin to measure blood glucose levels could pose. The sensors work in such a way that as the glucose concentration …

Novel Psychophysics Of Cognitive Color Appearance Phenomena, Luke Hellwig

Theses

Color appearance models can be used as an experimental design and analysis tool to better study high-level color perception involving brightness and chromatic adaptation. We investigate the experimental basis for the Helmholtz-Kohlrausch effect, the contribution of chromatic intensity to our perception of brightness. A new experimental method for measuring the brightness of chromatic colors leads to a model of the Helmholtz-Kohlrausch effect, which we use to extend CIECAM16, the color appearance model recommended by the Commission Internationale de l'Eclairage. The model is tested on high-dynamic-range images. The process of building this model also leads to several improvements in CIECAM16 itself. …

Enhancing Human-Robot Collaboration Through Intuitive Augmented Reality Interface And Precise Visualization, Wenhao Yang

Theses

In terms of changing production in the transformation to the Industry 4.0 landscape and increasing demand for customized products, small and medium enterprises (SMEs) utilizing industrial robots encounter a shortage of skilled labor. Open questions in human-robot interaction encompass the need for natural and effective interfaces, path planning within intricate environments, and the design and execution of human-robot collaborations. This dissertation aims to tackle these challenges by leveraging Augmented Reality (AR) to enhance robot operations in manufacturing scenarios, with a focus on optimizing the efficiency of the Human-Robot Interaction (HRI) system, improving the bidirectional trust between humans and robots, and …

Exploitation Of Spatial Content For Enhancing Pansharpening And Image Fusion Performance, Rey Ducay

Theses

Designing algorithms that spatially enhance hyperspectral imagery is an active area of research due to their many wide-ranging applications such as target detection, precision agriculture, forest management, security/defense applications, among others. This body of work focuses on the effects of spatial content on one’s ability to fuse imagery. Different types of spatial content (e.g., spatial clutter of man-made structures like buildings, types of trees in a forest, different species of grain in a farm, pixels containing water, plumes/clouds, etc.) and spatial artifacts such as edges and corners are explored as to how they affect the sharpening process. This is achieved …

Heat Transfer Performance Of Single-Phase Circular Heat Sink With Micro Pin-Fin, Mouza Abdulla Al Shamsi

Theses

This thesis presents a numerical study of laminar forced convection in a novel design of a microscale single phase water cooled circular heat sink with pin fins developed and analyzed to serve as a miniaturized cooling system. The developed heat sink in this study aims to achieve efficient heat dissipation from high electronics integration that generates high heat flux and non-uniform temperature distribution, which leads to the reduction of life and reliability of electronic devices.

Numerical analysis of ten different configurations of the circular heat sink has been carried out for the heat flux of 100 W/cm2 at range of …

A Smart Chatbot System For Digitizing Service Management To Improve Business Continuity, Asraa Mohammed Albeshr

Theses

Chatbots, also called digital systems that require a natural language-based interface for user interaction, are increasingly being integrated into our daily lives. These chatbots respond intelligently to voice and text and function as sophisticated entities. Its functioning includes the recognition of multiple human languages through the application of Natural Language Processing (NLP) techniques. These chatbots find applications in various areas such as e-commerce services, medical assistance, recommendation systems, and educational purposes. This reflects the versatility and widespread adoption of this technology. AI chatbots play a crucial role in improving IT support in IT Service Management (ITSM) for better business continuity. …

Optimal Entanglement And Spin Squeezing In Collections Of Two-Level Atoms, Emily Finson

Theses

Spin squeezing is a bulk, non-classical effect that can occur in spin systems and occurs when fluctuations between two observables are redistributed while still maintaining the minimum uncertainty product. Planar-quantum squeezing is a similar phenomenon where there are decreased spin variances in two orthogonal spin components. In the work that follows, we consider specifically the realization of a spin-j system, a collection of N = 2j two-level atoms, in accordance with the famous Dicke model for such a system. Both spin and planar-quantum squeezing act as entanglement witnesses. This means that where we observe spin squeezing we should also observe …

Hydrometeorological Analysis Of A Flooding Event In Fujairah Emirate, Ahmad Abed Rabu Albreiki

Theses

This thesis conducts an extensive hydrological examination of a flooding event in Fujairah emirate, a partially dry landscape distinguished by its exceptional land utilization and soil composition. This research reveals crucial knowledge about how Fujairah Emirate basins behave hydrologically by fusing land use, land cover classification, hydrological soil groups, weighted Curve Number (CN), maximum discharge computations, and return period evaluations. One fundamental discovery is the significant differences in CN values across the region's basins. These differences highlight the powerful influence of land use and soil composition on the likelihood of water runoff. Basins with urbanization and impermeable surfaces tend to …

Coastal Bathymetry Of The United Arab Emirates Using Satellite-Based Remote Sensing Data, Naser Salem Aldahmani

Theses

Bathymetry is the study of the bed under the water's surface, giving us the water's depth. The Thesis will be about studying the coastal area of the UAE by using satellite images that can help access large regions of the UAE Coast. Also, by using a history of 5 years of satellite visible bands and NIR images, we can see the change of depth near the coastal. The benefit of that study will help to build ship baths through shallow water and to go in and out of ports of UAE. Early warnings of the sea level increasing near the …

Development Of Guidance, Navigation, And Control Systems For Multi-Spacecraft Assembly In Proximity Operations, Mohammed Ayman Atallah

Theses

This thesis presents the development of Guidance, Navigation, and Control (GNC) algorithms for multi-spacecraft assembly in proximity operations. A 3-DOF mathematical model of spacecraft relative translational motion is derived using the Euler-Lagrange method. Additionally, a 6-DOF mathematical model of spacecraft relative translational and rotational motion is derived using the twistor method, with consideration for the kinematic coupling effect. A new Linear Time-Invariant (LTI) model is developed based on the twistor model, which is utilized in the design of the GNC systems. Both LTI Model Predictive Control (MPC) and Linear Time-Varying (LTV) MPC algorithms are employed to develop Guidance and Control …

An Empirical Study On The Use Of Secure Predictive Analytics For Improving Trade Forecasting In The Uae, Asma Salem Alneyadi

Theses

Trade contributes to the United Arab Emirates' economic growth. This thesis focuses on trade dynamics in the UAE using Long Short-Term Memory (LSTM) neural networks. The study focuses on both import and export activities, providing understandings into the complex patterns and impacts of international trade on the UAE's economic growth. The research begins by constructing an LSTM model to forecast the UAE's Gross Domestic Product (GDP) through the utilization of historical trade data. We use time series data for imports and exports as key input features. This innovative approach highlights the relevance of trade statistics as a leading indicator of …

Dress-Code Violation Detection In Arabic Regions Using Object Detection Machine Learning Model, Maha Sadat Aghaei

Theses

The dress code violation detection system is crucial for assessing clothing appropriateness in public areas. This study aims to improve this system using advanced computer vision and machine learning techniques to more effectively categorize people's attire in images and videos. To enhance adaptability and create a user-friendly graphical interface for system management and deployment, we have generated a unique dataset from various contexts mix of Western and Arabic clothing. This allows users to interact with graphical components, including the ability to upload images or use live video for clothing detection. Moreover, we have taken privacy concerns into account and implemented …

Measuring Jupiter’S Wind From Cassini Spacecraft Observations, Malak Ali Nazmi

Theses

Jupiter's atmosphere has remarkable features like the Great Red Spot, and strong dynamic events take place in its atmosphere for hundreds of years.
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/="/">We have a set 280 images of Cassini spacecraft December 2000 of southern and northern hemisphere of Jupiter planet which were taken by four distinct filters with a wide range of wavelengths extending from 455 nm to 889 nm to study the Great Red Spot dynamics and measure the velocity fields using Correlation Imaging Velocimetry technique. To understand the mechanism of energy transfer between eddies and jets which governs Jupiter's atmosphere for a long time, …

Biochemical Charactrization Of A Fructosyltransferase Enzyme From A Halophilic Archaeon, Haloarcula Marismotui, For Biotechnological Applications, Ahlam Khalifa Al Ameri

Theses

Fructosyltransferase enzymes are involved in the production of fructans, which are polymers of fructose and naturally present in many foods like fruits, vegetables, legumes, and cereals. Fructans with short chain lengths are called Fructooligosaccharides (FOS), which are small dietary fibers having low caloric values and are known as “prebiotics”. Fructans have a broad range of applications in the food, pharmaceutical, cosmetics, and chemical industries. They have unique physiochemical properties and functionalities depending on the source of enzyme used for their production. The present study aimed at the utilization of a recently discovered unique fructosyltransferase enzyme from an extremely halophilic microorganism, …