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Articles 991 - 1020 of 11526
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The Effects Of Low-Temperature Pre-Cycling On High-Temperature Degradation Of Lithium-Ion Cells, Muriel Carter
The Effects Of Low-Temperature Pre-Cycling On High-Temperature Degradation Of Lithium-Ion Cells, Muriel Carter
Theses
Degradation is a big challenge for lithium-ion (Li-ion) batteries in various applications, especially at extreme temperatures. Low and high temperature cycling can cause lithium plating and increased solid-electrolyte interphase (SEI) growth, respectively. However, a previous work in our lab showed that pre-cycling Li-ion cells at low temperature reduced degradation during high temperature cycling. The previous work was based on small single-layer cells. This thesis intends to confirm this phenomenon for larger multi-layer cells and to further understanding of the mechanisms behind the reduced degradation for the low-temperature pre-cycled cells. Multi-layer commercial pouch cells were pre-cycled at 1C at low temperature …
Multilabel Defect Classification Using Graph Neural Networks For Autonomous Visual Inspections, Md Sazzad Hossen
Multilabel Defect Classification Using Graph Neural Networks For Autonomous Visual Inspections, Md Sazzad Hossen
Theses
Visual inspections of safety-critical systems are crucial in reducing the risk of equipment failures, downtime, and loss of life. This nondestructive testing (NDT) method uses a portable borescope or camera along with other sensors directly or mounted on robotic platforms to inspect difficult-to-access areas with ease, minimum time, and cost. Although state-of-the-art visual inspection platforms are equipped with sensors from multiple modalities, the inspection tasks still require human subject matter experts to identify defects and analyze them. This jeopardizes human safety in a hazardous work environment in energy industries, as well as the extended time for inspection and human error. …
A Comparative Study Of Tin Anodes In Carbonate And Glyme Electrolytes, Ameya Tushar Khirwadkar
A Comparative Study Of Tin Anodes In Carbonate And Glyme Electrolytes, Ameya Tushar Khirwadkar
Theses
Sodium-ion batteries (SIBs) are a focus of novel energy research as they present a sustainable alternative to lithium-ion batteries (LIBs) due to the abundance of sodium and anode materials. Tin is a promising option for anodes in SIBs because of its ability to be used independently or with other metal alloys. The advantage of using styrene butadiene rubber in tin anodes is a source of intrigue for potentially improving the shelf life of anodes and reducing the electrical fatigue on the battery. The study of glyme electrolytes compared to widely used carbonate electrolytes can potentially improve cycling life and the …
Interlacing Unstructured Data With Deep Neural Nets For Predicting Pervious And Impervious Land Cover Types, Srivani Athmakur
Interlacing Unstructured Data With Deep Neural Nets For Predicting Pervious And Impervious Land Cover Types, Srivani Athmakur
Theses
This research delves into the intricate task of delineating land cover types in Tallahassee-Leon County and emphasizes the need for detailed granularity beyond existing classification systems. Utilizing cutting-edge GIS data, the study harnesses the power of deep learning algorithms, including U-net, UNetPlusPlus, FPNnet, and DeepLabV3Plus. A unique approach, ”Interlacing Unstructured Data with Deep Neural Nets,” integrates shapefiles and Tiff images to enhance classification metrics such as mean intersection over union, pixel accuracy, and loss functions. The research aspires to significantly improve the precision of land cover classification, holding implications for urban planning and environmental management. By innovatively integrating unstructured data, …
A Multi-Decadal Analysis Of Urban Heat And Pollution Islands In New Delhi, India, Saumya Omala Yamineni
A Multi-Decadal Analysis Of Urban Heat And Pollution Islands In New Delhi, India, Saumya Omala Yamineni
Theses
New Delhi, India's capital, is a mega-city with complex urban environments and significant Urban Heat Island (UHI) and Urban Pollution Island (UPI) footprints. Over the past two decades, the city has experienced steady urban growth, increased land cover and green spaces, and rising pollution from local and interstate sources. Currently, a comprehensive multi-decadal analysis of the co-evolution of UHI and UPI in New Delhi is lacking. Such an analysis was conducted using a fusion of in situ data, NASA satellite products, and MERRA-2 reanalysis, reveals: 1) Significant trends of daytime cooling (decreasing by ~ 0.16 ∘C), nighttime warming (increasing by …
Across The Pond, Lisa Larrabee
Across The Pond, Lisa Larrabee
Theses
"A collection of stories inspired by the author's father; from his earlier childhood in Italy, to his emigration to the US around age 10 and to his adjustment in finding a balance as an Italian-American teen in the 50s, it includes his meeting / falling in love with the author's American mother and the ensuing circumstances of the culture clash from their relationship. This collection includes 5 historical fiction stories that are based heavily on factual stories, which are chronologically connected by 9 non-fiction pieces."
Assessing Learning Outcomes In Electrical Engineering Using Natural Language Processing: A Comparative Analysis Of Student And Employer Evaluations, Toka Khalil
Theses
The Co-op program is a graduation requirement for all majors in RIT Dubai. Just like any course, Co-op has also learning programs that is different from one major to another. The academic departments ensure that those learning programs are being achieved throughout the co-op duration that the student goes for to complete the requirement. By end of each co-op duration, the student completes a student evaluation form which consists of questions that are supposedly related to the learning outcomes of the academic program. At the same time, also the employer evaluation which needs to be filled by the employer, includes …
Advancing Elastomer Cutting Tool Development Through Material-Centric Cutting Mechanism Analysis, Shuhuan Zhang
Advancing Elastomer Cutting Tool Development Through Material-Centric Cutting Mechanism Analysis, Shuhuan Zhang
Theses
Cutting elastomers is a very common procedure that is used in a wide variety of applications, including rubber product manufacturing, food processing, and surgical process. To conserve energy and improve cutting accuracy, decreasing the cutting force and elastomer deformation is always of interest. Numerous studies have concentrated on methods for reducing cutting force and deformation, but only a few have explained the underlying mechanics of these cutting techniques. Without a deep understanding of elastomer cutting mechanics, it's difficult to improve or develop a new cutting method. To understand the cutting mechanics, the mechanical, tribological, and rheological properties of the elastomer …
Predictive Methods And Data Pattern Analysis For Reducing Car Plate Theft, Noor Alzayani
Predictive Methods And Data Pattern Analysis For Reducing Car Plate Theft, Noor Alzayani
Theses
The project titled " Predictive Methods and Data Pattern Analysis for Reducing Car Plate Theft" seeks to provide innovative solutions to combat car plate theft. The project contains data of 6500 thieves who have stolen number plates and were involved in various other types of criminal activities by putting that number plate in their vehicle. The data collected for the present project is from the emirates of Dubai. It contains information related to thieves age, education, nationality, type of crime committed, area in which crime is committed, number of crimes committed, timing of crime, residential status of criminal, visa status, …
Integration Of Blockchain And Cryptographic Techniques For Location Based Services, Rashed Al Shamali
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 …
Extending The Prediction Of Fear Of Crime, Doreen Boateng
Extending The Prediction Of Fear Of Crime, Doreen Boateng
Theses
This study aims to expand what we know about fear of crime to reveal the different levels of fear among genders. Although there exists extensive research on the subject matter, the current work examines how different each gender perceives crime given the predictors as vulnerability, disorder and social integration. This study therefore addresses these gaps by assessing gender differences in crime fear and how these models separately influence each gender. To do that, crosstabulations and logistic regression analysis was used in analyzing the relationship between gender, perceptions of neighborhood disorder (street graffiti/litter), social integration (family ties), to determine the relationship …
Cybersecurity Awareness And Risks Among Students, Staff & Faculty At The University Of North Alabama, Jerry Lwamba
Cybersecurity Awareness And Risks Among Students, Staff & Faculty At The University Of North Alabama, Jerry Lwamba
Theses
As individuals and organizations become significantly connected to the internet, cybercriminals find an increasing number of ways to exploit their targets (Broadhurst, 2018). This study explores the world of cybersecurity awareness of risks associated with online activities within the University of North Alabama (UNA). This research aims to assess the level of cybersecurity awareness of risks university stakeholders face, and to also understand behaviors that expose them to cybercrime and emphasize the urge for comprehensive cybersecurity best practices. When cybercriminals employ tactics such as spam, phishing, or spear phishing in their attempts to break into network systems, distribute malware, or …
Hierarchical Multi-Label Text Classification In Earth Science Datasets, Rajashree Dahal
Hierarchical Multi-Label Text Classification In Earth Science Datasets, Rajashree Dahal
Theses
This thesis addresses the challenging problem of hierarchical multi-label text classification and introduces a novel zero-shot approach that recommends the label up to the depth of hierarchy in which it is confident. In order to validate the efficacy of the proposed method, we experimented using various potential embedding models such as text-embedding-ada-002, mpnet-all, instructor embeddings, and nasa-smd-ibm-st on Earth science datasets. The experimental results reveal that all considered embedding models surpass the baseline model supervised learning classifier, demonstrating the superiority of the proposed zero-shot approach. This proposed solution can minimize the label imbalance problem typically observed in the supervised learning …
Data Fusion Approach To Assessing Hurricane Impacts On Us Gulf Coast Wetlands: Case Studies Of Hurricanes Ida And Ian, Trent W. Cowan
Data Fusion Approach To Assessing Hurricane Impacts On Us Gulf Coast Wetlands: Case Studies Of Hurricanes Ida And Ian, Trent W. Cowan
Theses
This thesis employs data fusion techniques to analyze the damage to US Gulf Coast wetlands caused by Hurricanes Ida and Ian. The relationship between ecosystem damage and wave stress is evaluated using salt marsh classifications derived from PlanetScope imagery and atmospheric and ocean modeling (WRF, ADCIRC+SWAN). Short-term vegetation recovery following Hurricane Ian is assessed using HLS-derived NDVI data. A multi-decadal analysis of salt marsh vegetation off the Louisiana coast is conducted with statistical models incorporating MODIS NDVI and MERRA-2 climate variables. The analysis reveals the following key findings: 1) -38.7% and -93.25% of wetland area changed following the passage of …
Exploring The Experiences Of A South Asian Client And Facilitators Of Men's Behaviour Change Programs In Western Australia, Madhuri Mathisen
Exploring The Experiences Of A South Asian Client And Facilitators Of Men's Behaviour Change Programs In Western Australia, Madhuri Mathisen
Theses
This study explores the experiences of male perpetrators of Intimate Partner Violence (IPV) attending men’s behaviour change programs in Western Australia from the perspective of program facilitators and a South Asian client. Informed by social and contextual constructionism with Interpretative Phenomenological Analysis (IPA), this study examines the experience of 10 mixed culture facilitators who worked with South Asian intimate partner violence perpetrators in men’s behaviour change programs and one South Asian client of an intervention. The participants’ experiences were contextualised through a semi-structured interview. The facilitators’ findings revealed that South Asian clients demonstrated patriarchal beliefs with a victim-blaming tendency and …
Radio Propagation Characteristics For In-Car Wireless Communications, Stefan Reis
Radio Propagation Characteristics For In-Car Wireless Communications, Stefan Reis
Theses
Over the past number of years, more and more autonomous functions have been introduced into the newest car models by the automotive industry. These functions include electronic stability control, lane centring, left-turn assist, blind-spot monitoring, etc. The primary purpose of these functions is to increase road safety and, to some extent, the driver's comfort. With the increasing number of functions, more and more sensor devices are being installed in cars, increasing the complexity of the intra-vehicle network. Wireless sensor communication oers promising features that can reduce this complexity, provide more exibility in the sensor placement, and allow for more sensor …
Atoms And Bits, Exploring The Use Of Data Physicalization And Augmented Reality To Learn-Through-Data In The Classroom, Rebecca Noonan
Atoms And Bits, Exploring The Use Of Data Physicalization And Augmented Reality To Learn-Through-Data In The Classroom, Rebecca Noonan
Theses
In today’s world we interact with data daily, whether it is on our phones, smart watches, websites, newspapers, or paper bills. Some have even proclaimed, ‘Data as the new gold.’ As data is an ever growing and important part of adult lives, this study was motivated to initiate the research presented here by questioning how we can expose children to data, in a way that will excite their early education, With this in mind, the aim of this research is to explore how we can make ‘learning through data’ a more interactive, engaging and positive activity by using modalities beyond …
Emergence Of Preferential Flow Paths And Intermittent Dynamics In Emulsion Transport In Porous Media, Michael Izaguirre
Emergence Of Preferential Flow Paths And Intermittent Dynamics In Emulsion Transport In Porous Media, Michael Izaguirre
Theses
This dissertation aims to study the underlying physics of anomalous transport of emulsions in porous media and quantify the role of droplet-pore and droplet-droplet interactions in transport in porous media experimentally. The complexities of this problem arise from the network heterogeneity, correlations between the pores across the medium, interfacial properties of the fluids, and the correlations between the pore scale dynamics and system-level transport. This dissertation presents significant advancements in the study of emulsion dynamics within two-dimensional porous media through the development of innovative image analysis and tracking methods. These advancements include precise detection and tracking of deformable objects, which …
Optical Differentiation Wavefront Sensor With Pixelated Filters Toward High Performance Metrology, Biswa R. Swain
Optical Differentiation Wavefront Sensor With Pixelated Filters Toward High Performance Metrology, Biswa R. Swain
Theses
Freeform optics enables enhanced system performance and packaging due to the high degrees of design freedom they provide, but characterizing these optics remains challenging. Phase measurement of an optical wave is essential in the metrology of optical components, adaptive optics, and laser beam quality assessment. The Shack-Hartman Wavefront Sensors are limited by their dynamic range and resolution due to lenslet operation. Interferometric-method-based adaptive nulling requires high-performance wavefront sensor, and coordinate-scanning-based measurements are time consuming. We investigate and develop an Optical Differentiation Wavefront Sensor (ODWS) based on binary pixelated filter that enables high dynamic range, high resolution freeform metrology. Analysis of …
Machine Learning Based Solutions For Detecting Social Media Spam And Phishing Incidents, Ahmed Al Shehhi
Machine Learning Based Solutions For Detecting Social Media Spam And Phishing Incidents, Ahmed Al Shehhi
Theses
The growing digital interactions across various social media platforms increases the risks of phishing schemes and spam messages that compromise personal and organisational security. This thesis tackles such threats with the aid of machine learning and natural processing techniques that are utilized for detecting malicious communications with high accuracy. A total of three datasets were used in this study, two for phishing and one for spam. The research aims to explore the performance of classification models, including Logistic Regression, Support Vector Machine, Naïve Bayes, and Linear Discriminant Analysis, as well as a hybrid model combining Logistic Regression and Naïve Bayes. …
Optimizing Neural Networks For Iiot Attack Detection, Hamad Alblooshi
Optimizing Neural Networks For Iiot Attack Detection, Hamad Alblooshi
Theses
The Industrial Internet of Things (IIoT) stands as a revolutionary force, intertwining physical devices, sensors, and industrial systems to usher in advanced automation and data-driven decision-making across various sectors. However, this increased connectivity has exposed these systems to a growing array of cyber threats. Safeguarding IIoT environments becomes crucial to maintain the integrity, availability, and confidentiality of critical industrial processes. In response, this research explores the optimization of neural network parameters using Genetic Algorithms (GA). The application of GA has led to achieve a remarkable accuracy of 95% across various attack types. The results demonstrate a high performance in identifying …
Characterization Of Curing Kinetics Of An Anisotropic Conductive Adhesive Using Rheology And Differential Scanning Calorimetry, Connor Kirkpatrick
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 …
Predictive Modeling In Healthcare, Ibrahim Essa Abdulla Ali Alattar
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 …
Towards Algorithm Selection For Efficient Search-Based Software Engineering, Niranjana Deshpande
Towards Algorithm Selection For Efficient Search-Based Software Engineering, Niranjana Deshpande
Theses
In Search-Based Software Engineering (SBSE), metaheuristic search algorithms are used to construct software by combining components that fulfill diverse user and business requirements. These search algorithms typically employ randomization to accurately and efficiently evaluate numerous component combinations using limited computational resources. As a result, several search algorithms have been proposed to address SBSE problems, each with varying solution quality guarantees and computational resource usage. Recent research has demonstrated that search algorithms exhibit complementary behavior, that is, different search algorithms outperform each other on specific problem instances in terms of computational resource usage and solution quality. Problematically, current SBSE approaches do …
Ownership Topology Of Vertically-Scaled Agile, William Dabney
Ownership Topology Of Vertically-Scaled Agile, William Dabney
Theses
Much as Scrum, Kanban, and XP are used to structure team-level agility, those wishing to take agility beyond the team level often turn to proven solutions. The most popular, which aim to scale development by adding teams under a shared collective ownership rather than separating them into discrete units, are the Scaled Agile Framework (SAFe), Large Scale Scrum (LeSS), and Nexus. These frameworks advocate for aligning ownership subdivisions along features rather than code, which allows teams working on the same product to do so autonomously. While the benefits of this have been researched, the topology of ownership in these frameworks …
Machine Learning Framework For Detecting Ldap Injection Attacks, Rahul Nair
Machine Learning Framework For Detecting Ldap Injection Attacks, Rahul Nair
Theses
LDAP injection attacks have posed a growing danger to web application security, utilizing directory service vulnerabilities to obtain unauthorized access or tamper with sensitive information in recent times. In this thesis, a comprehensive method is developed for detecting and preventing LDAP injection attacks by utilizing a role-based access control approach to generate a unique dataset. Various categories and variations of LDAP queries that mimic real attack situations, as well as legitimate benign queries representing typical LDAP operations, are included in the dataset to further classify them based on user roles. Four different machine learning algorithms, including XGBoost, Logistic Regression, Support …
Machine Learning, Fuzzy Logic And Zero Trust-Based Quishing Prevention Solution For Android Smartphones, Felix William
Machine Learning, Fuzzy Logic And Zero Trust-Based Quishing Prevention Solution For Android Smartphones, Felix William
Theses
QR code phishing, or "quishing," exploits the widespread adoption of QR codes to embed malicious URLs that lead users to phishing sites or initiate malware downloads. Unlike traditional phishing methods, QR phishing is uniquely deceptive, leveraging the inherent trust and convenience associated with QR codes while bypassing standard detection mechanisms. This thesis presents the SEQR scanner, a novel solution tailored to detect and prevent QR phishing attacks, specifically focusing on Android platforms. By integrating multiple detection mechanisms—machine learning prediction, fuzzy logic algorithm, and third-party blacklisting APIs—the solution effectively identifies malicious QR codes with precision. A zero-trust-based mechanism is implemented alongside …
The Archaeology Of The Spiritual And Working Lives Of The Muslim Cameleers Of Western Australia In The Late Nineteenth And Early Twentieth Centuries, Roger Bateman
Theses
This thesis describes the lifeways of cameleers (also identifiable as males, Muslims, Asians, ‘Afghans’) who worked in Western Australia’s transport industry in the period 1887 to 1920. With their camels’ unique capabilities in the dry and sandy terrain of Western Australia’s arid and semi-arid areas, they provided a critical service in the early mining and settlement history of Western Australia. This research has been done through the archaeological record of their campgrounds, other sites, and the historical record. The research’s four aims were to gather and compile archaeological evidence associated with the Afghans and their religious lives as Muslims; describe …
Sms : A Smartwatch Application Suite For Mobility Assessment, Suresh Avula
Sms : A Smartwatch Application Suite For Mobility Assessment, Suresh Avula
Theses
Regular assessment of mobility can detect changes in physical health over time and discover underlying health issues. Some of these changes in mobility may indicate an increased risk of falls, which can lead to serious injuries. Identifying mobility changes can help prevent these incidents. Wearable technology can facilitate mobility tests at home and alert caregivers or medical professionals to any irregularities and promote proactive healthcare. Adoption of smartwatches with various built-in sensors like accelerometer and gyroscope creates new opportunities for wearable health monitoring. We developed the Smartwatch Application Suite to evaluate functional mobility using standard mobility tests: Timed Up and …
Unsteady Flow Characteristics Of A Normal Shock Wave And Associated Lambda Foot, Michael D. Sorrell
Unsteady Flow Characteristics Of A Normal Shock Wave And Associated Lambda Foot, Michael D. Sorrell
Theses
Shock wave interactions are important in a variety of engineering applications, ranging from gas turbines to rocket nozzles. There is much discussion regarding the sources of unsteadiness related to unsteady shock wave structure. This thesis investigates related interactions through spectral analysis of shock wave tracked positions, and instantaneous surface static pressure, temperature, and heat flux. A shadowgraph system for implementing shock wave tracking analysis is employed within a supersonic test section with an inlet freestream Mach number of 1.54. Unsteady surface static pressure and temperature variations are measured at streamwise locations along the bottom wall. Unsteady temperature data are used …