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Articles 661 - 690 of 10019
Full-Text Articles in Entire DC Network
Advancing Cell Segmentation Methods Through An Innovative Technique And Systematic Evaluation, Yuxing Wang
Advancing Cell Segmentation Methods Through An Innovative Technique And Systematic Evaluation, Yuxing Wang
Theses
In the biomedical field, downstream cell-level analysis is a crucial step for comprehensively characterizing cells' location, function, morphology, and phenotype, relying on the accurate identification of individual cells. Consequently, there is increasing interest in the high quality of identified cell boundaries for biologists or researchers. Currently, cell segmentation methods are categorized into two types: Image-based and RNA-based cell segmentation. However, these methods face significant challenges. For example, most image-based methods tend to identify cell nuclear boundaries rather than entire cell boundaries when only nuclear staining images are available, and their performance is affected by noise in images and training labels. …
Essential Fluids With Matlab And Octave - Part 1 (Theory), Panchapakesan Venkataraman
Essential Fluids With Matlab And Octave - Part 1 (Theory), Panchapakesan Venkataraman
Open Access Books by RIT Staff and Faculty
This book covers the requisite theory for the basic study of fluid mechanics at low speeds. This book is unique in that it integrates engineering computation using the popular technical software MATLAB, and the free counterpart Octave. Programming is by example throughout the book. Prior knowledge of programming is not necessary. This book reviews prerequisite topics prior to teaching the subject matter. This book introduces the physics of fluid mechanics based on first principles. It develops the mathematical relations and model of fluid flow so that problems can be defined and solved.
Light And Dark Mode: A Comparison Between Android And Ios App Ui Modes And Interviews With App Designers And Developers, Sarah Andrew, Chelsea Bishop, Garreth W. Tigwell
Light And Dark Mode: A Comparison Between Android And Ios App Ui Modes And Interviews With App Designers And Developers, Sarah Andrew, Chelsea Bishop, Garreth W. Tigwell
Articles
Mobile app light and dark modes offer improved usability within different contexts (e.g., dark mode for easier night reading). Yet, little research has investigated the prevalence of light and dark modes across platforms, the intricacies of UI color changes, and challenges in the design and development process. Our investigation focused on comparing light and dark mode designs. We carried out a manual inspection of 120 popular Android and iOS apps to find that only 55\% (Android) and 48\% (iOS) of the apps included any modes. We also found significant variability in how many UI elements changed between modes. We interviewed …
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 …
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 …
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, …
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 …
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 …
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 …
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 …
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. …
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 …
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, 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 …
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 …
2024-2025 Undergraduate Bulletin, Rochester Institute Of Technology
2024-2025 Undergraduate Bulletin, Rochester Institute Of Technology
RIT Digital Archives
No abstract provided.
2024-2025 Graduate Bulletin, Rochester Institute Of Technology
2024-2025 Graduate Bulletin, Rochester Institute Of Technology
RIT Digital Archives
No abstract provided.
Photomechanical Properties Of Azobenzene Doped Lcn Films For Surface Healing Applications, Daniel Luis Mojica
Photomechanical Properties Of Azobenzene Doped Lcn Films For Surface Healing Applications, Daniel Luis Mojica
Theses
Azobenzene doped liquid crystal network (LCN) polymers are being well studied for their potential in many applications such as light activated organic actuators, memory materials, and as surfaces capable of complex topographical texture changes. A novel application is explored with azobenzene doped LCN materials being used as a self-healing protective polymer layer capable of healing surface compression damage which alters its original topography. Preliminary studies showed that LCN materials are very capable of healing indentations caused by compression damage. This work delves into understanding how this material can be altered in the manufacturing process to improve its surface healing capabilities. …
Evaluation Of Electrical Grid Resilience Based On Φλεπ Metrics And Integration Of A Nuclear Power Plant, Abdulla Darwish Alblooshi
Evaluation Of Electrical Grid Resilience Based On Φλεπ Metrics And Integration Of A Nuclear Power Plant, Abdulla Darwish Alblooshi
Theses
This study analyzes electrical grid resilience, the evaluation methods, and resilience metrics, as well as the impact of a nuclear power plant as a base-load supplier on the resilience of an electrical grid during extreme events such as high-speed winds or hurricanes. The case study was implemented on a 10-generator 39-bus system (New England) using PowerWorld, and the data extraction and plotting were performed using MATLAB. The wind speeds, fragility curves, and time-to-restore function were randomly created based on previous models, and their values were extracted from MATLAB calculation using randomly generated but uniformly distributed wind speeds. The resilience metrics …
Robust Gasification Trial Results For A Variety Of Difficult-To-Recycle Packaging-Related Materials, Bruce A. Welt
Robust Gasification Trial Results For A Variety Of Difficult-To-Recycle Packaging-Related Materials, Bruce A. Welt
Journal of Applied Packaging Research
Currently, recycling requires nearly absolute sorting of materials to accommodate the limited capabilities of existing recycling infrastructure. Whether a material is “recyclable” depends more on the method of recycling than the material itself. Our dependence upon sorting has limited success of recycling and has stifled our ability to achieve circular economy sustainability with plastic packaging materials. Our dependence upon sorting is rooted in our material-specific recycling processes. However, newer robust recycling processes are commercially available that reduce or eliminate the need to sort waste, and can convert mixed waste into primary feedstock chemicals, such as methanol for subsequent manufacture of …
Characterization Of 3d Printed Lattice Structures Used In The Design Of Modified Compression Release Stabilized Transhumeral Prosthetic Sockets, Jade Myers
Theses
Abstract A prosthetic socket is the critical interface between a person and their prosthetic device. Pressure, shear, and friction experienced by the residual limb from wearing a socket can damage soft tissue. While Compression Release Stabilized (CRS) style sockets are beneficial for enhancing prosthesis stability, range of motion, and control, the abrupt differences in compression throughout the socket present risks for tissue damage to the residual limb. A socket design that enables clinicians to control a progressive decrease in firmness in the transition areas between compression and release could mitigate such undesirable effects. Density-graded lattice structures designed and produced with …
Visualizing Visual Neural Pathways In Virtual Reality A Neuroanatomy Tool, Mary Nguyen
Visualizing Visual Neural Pathways In Virtual Reality A Neuroanatomy Tool, Mary Nguyen
Theses
Visualizing the human brain and its structures in three dimensions is a complex and overwhelming task. Sensory pathways such as visual neural pathways, are important but difficult to visualize. With the rising popularity of extended reality (XR) in modern education, a Neuroanatomy tool in virtual reality (VR) was developed to allow students and other learners to explore the human brain and learn about its functions in an engaging way. Virtual reality enables a user to have the ability to visualize complex structures in the brain in a way that is otherwise impossible to see in a cadaver lab or web-based …
Retreat Village Design In Letchworth State Park Region: An Architecture Development In A Highly Valued State Park Meets The Triple Bottom Line Of Sustainability, Jing Hua
Theses
Letchworth State Park, located in Livingston and Wyoming counties, New York, renowned as the “Grand Canyon of the East”, is one of the most scenically magnificent areas in the eastern United States. However, there are no well-developed leisure centers around or in the park. The lack of good accommodations, in contrast to the availability of restaurants with local character, leisure activities, and other supporting facilities in the area, fails to fully achieve the development potential of the natural scenery of the region. This thesis demonstrates that a retreat complex village that brings people closer to the natural landscape of Letchworth …
Evaluating The Impact Of Biosimilars In The Drug Market, Olivia Sitter
Evaluating The Impact Of Biosimilars In The Drug Market, Olivia Sitter
Theses
Drug pricing has increase to the point where many Americans are unable to afford prescriptions for both long- and short-term diseases. Within the last decade, U.S lawmakers have changed legislation so that biosimilars can be added into the drug market in hopes of creating affordable products. Biosimilars allow more options for consumers and add increased competition for manufactures which should decrease the overall price of the original biopharmaceutical the biosimilar is modeled after. In current research, the impact of biosimilars within the European Union has been investigated heavily, but the US approved biosimilars much later and there is less information …
Thermodynamics Of Ice Arena Geometry, Low- Emissivity Of Building Materials, And Natural Ventilation: An Energy Efficiency Study Of An Ice Arena In Rochester, Ny, Jonathan Sutton
Theses
This thesis explores the thermodynamic relationship between an ice arena’s ice sheet and building form. This exploration was conducted through an experiment focusing on the effects of architectural geometry, building material, and natural ventilation on ice heat gain. Ice arenas are giant refrigeration systems meant to sustain a sheet of ice in any climate, which is energy-intensive. There are many mechanical solutions to improving energy efficiency within ice arenas, leaving a gap for architectural solutions. Thermodynamics is how heat transfers or moves between space or objects. Heat or temperature wants to reach equilibrium, which means cold surfaces, objects, or air …
Characterizing The Evaporating Droplets Over Heterogeneous Wettability Surfaces, Xi Li
Characterizing The Evaporating Droplets Over Heterogeneous Wettability Surfaces, Xi Li
Theses
This work investigates deposition patterns left by evaporating particle-laden droplets on heterogeneous surfaces with spatially varying wettability. Spatial differences in receding contact angles give rise to scalloped-shaped contact lines. During evaporation, the contact line recedes in one location and remains pinned in another. This non-uniform contact line recession results in particle self-assembly above areas where the contact line remains pinned, but not where it recedes. This behavior is fairly robust across a variety of particle sizes, concentrations, and device geometries. We hypothesize that particle self-assembly in these cases is due to the competition between particle diffusion and the evaporative-driven advective …
Catalyst-Free Epitaxy Of Core-Shell Nanowire Arrays For Wavelength-Selective And Substrate-Free Optoelectronic Devices, Alireza Abrand
Catalyst-Free Epitaxy Of Core-Shell Nanowire Arrays For Wavelength-Selective And Substrate-Free Optoelectronic Devices, Alireza Abrand
Theses
This research is dedicated to advancing catalyst-free epitaxial growth methods for indium arsenide-based nanowires (NWs) on foreign substrates, including silicon and two-dimensional (2D) materials. The findings presented here demonstrate new methods for low-cost III-V semiconductor NW synthesis, manipulation of NW optical properties, and advanced techniques for modulation of NW geometry and composition during selective-area epitaxy (SAE). The first part of this work explores the growth of InAs NWs with sub-lithographic dimensions on reusable Si (111), toward NW membrane-based optoelectronic devices such as infrared photodetectors (IR PDs). A SiO2 masking template is first patterned using i-line photolithography, yielding hexagonal arrays of …
Towards An Efficient Machine Learning Based Phish Detection System, Hamad Alfalasi
Towards An Efficient Machine Learning Based Phish Detection System, Hamad Alfalasi
Theses
Over the recent past, the world has experienced a digital revolution that has profoundly transformed many aspects of human life. This revolution has redefined the way individuals interact, how businesses operate, and how societies function. For businesses, operations have been fundamentally altered, changing the way they interact with customers and other businesses through digital tools and platforms used for transactions. Phishing, a deceitful approach, leverages technological and social tricks to access sensitive personal information, including financial details. A common attack mode involves installing harmful software on electronic devices to gain unauthorized access to personal information, particularly usernames and passwords of …