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Articles 511 - 540 of 10019
Full-Text Articles in Entire DC Network
Enhancing Healthcare Services Through Machine Learning-Driven Anomaly Detection, Mohammad Ayoub Nather Hussain Natheruddin
Enhancing Healthcare Services Through Machine Learning-Driven Anomaly Detection, Mohammad Ayoub Nather Hussain Natheruddin
Theses
The healthcare industry’s expanding data presents opportunities for artificial intelligence (AI) and machine learning (ML). Despite advancements in medical technology, medical errors remain a significant issue. Anomaly detection, identifying data points that deviate from normal patterns, is crucial for addressing these errors and detecting healthcare fraud. This study uses the “Healthcare Providers Data for Anomaly Detection” dataset to identify fraudulent activities. Clustering and two-step clustering, two unsupervised anomaly detection methods, are employed to uncover anomalies without prior knowledge. These techniques are applied to detect unusual events, such as anomalous patient health states and time-series data deviations. The study focuses on …
Predicting Air Passenger Traffic At Busy International Airports, Ratana Fraihat
Predicting Air Passenger Traffic At Busy International Airports, Ratana Fraihat
Theses
This thesis presents the development and validation of a machine learning model using Long Short-Term Memory (LSTM) networks to forecast air traffic passenger volumes at international, high-traffic airports. By leveraging historical passenger data, the study seeks to provide accurate predictions that can enhance operational planning and resource allocation at the airport. The implementation was done in Python, using historical passenger data from San Francisco International Airport (SFO) from 2005-2018. Data preprocessing steps involved grouping and summing passenger counts for each activity period. The data was normalized to a range of 0 to 1, which is crucial for preventing instability and …
Pawlingo: Bridging Virtual And Real-World Language Learning Through Mixed Reality, Xueer Wang
Pawlingo: Bridging Virtual And Real-World Language Learning Through Mixed Reality, Xueer Wang
Theses
PawLingo harnesses the power of mixed reality (MR) technology to enable users to learn new languages anytime, anywhere. By enhancing the interactivity and immersion of language learning, PawLingo revolutionizes how users engage with new languages. The platform features virtual non-player characters (NPCs), such as a panda representing Mandarin, who guide and interact with users in their daily environments. Whether navigating everyday scenarios like markets or public transit or practicing vocabulary in real-time, PawLingo seamlessly integrates language instruction into the user's surroundings. This research explores the development and impact of PawLingo, highlighting its ability to enhance user engagement, retention, and cultural …
Resolution Enhancement For High Numerical Aperture Extreme Ultraviolet Lithography Using Aperiodic Multilayer Masks, W Ethan Maguire
Resolution Enhancement For High Numerical Aperture Extreme Ultraviolet Lithography Using Aperiodic Multilayer Masks, W Ethan Maguire
Theses
As extreme ultraviolet lithography tools with higher image numerical apertures are introduced, the range of angles at the mask multilayer are increased. This represents a challenge for maintaining through-angle mask reflection using the current periodic mask multilayer structures. In addition to reflectance amplitude, the phase of reflected light, which plays an important role in imaging, is also strongly influenced by increasing angles. The propagation of light through each bilayer in the stack imparts a phase shift based on incidence angle. This accumulates over many layers, inducing phase effects which are unique to each illumination point. While adjustments to multilayer period …
Scholar Perspectives On The Impact Of A Scientific Community Program For Neurodivergent Undergraduate Stem Scholars, Dylan Sullivan, Fernando Zavala, Derek Hidalgo, Jacob Stolle, Rebecca Matte, Christin B. Monroe
Scholar Perspectives On The Impact Of A Scientific Community Program For Neurodivergent Undergraduate Stem Scholars, Dylan Sullivan, Fernando Zavala, Derek Hidalgo, Jacob Stolle, Rebecca Matte, Christin B. Monroe
Journal of Science Education for Students with Disabilities
Despite the adaptive strengths and unique problem-solving skills demonstrated by neurodivergent (ND) individuals, they remain underrepresented in Science, Technology, Engineering and Mathematics (STEM) fields. High unemployment rates among individuals with disabilities emphasize the need for addressing barriers to entry and persistence in the workforce. This study introduces a program designed to enhance opportunities for neurodivergent STEM scholars with financial needs, supported by the National Science Foundation (NSF). The program involves: 1) a weekly cohort course to engage in professional development, 2) use of the Birkman Method® survey to help scholars identify and communicate strengths, fostering self-awareness and growth, and 3) …
Hope Vs. Hate: Understanding User Interactions With Lgbtq+ News Content In Mainstream Us News Media Through The Lens Of Hope Speech, Jonathan Pofcher
Hope Vs. Hate: Understanding User Interactions With Lgbtq+ News Content In Mainstream Us News Media Through The Lens Of Hope Speech, Jonathan Pofcher
Theses
This thesis makes three contributions. First, via a substantial corpus of 1,419,047 comments posted on 3,161 YouTube news videos of major US cable news outlets, we analyze how users engage with LGBTQ+ news content. Our analyses focus both on positive and negative content. In particular, we construct a fine-grained hope speech classifier that detects positive hope speech, negative, neutral, and irrelevant content. Second, in consultation with a public health expert specializing on LGBTQ+ health, we conduct an annotation study with a balanced and diverse political representation and release a dataset of 3,750 instances with fine-grained labels and detailed annotator demographic …
Digital Microfluidic Oligonucleotide Synthesis: Automated Assembly Of Dna Products In Air And Oil With Integrated On-Chip Incubation, Sari Houchaimi
Digital Microfluidic Oligonucleotide Synthesis: Automated Assembly Of Dna Products In Air And Oil With Integrated On-Chip Incubation, Sari Houchaimi
Theses
Production of accurate DNA products is essential for many biological applications including drug development and delivery, synthetic biology, molecular engineering and epigenetics. It is difficult to build long DNA chains accurately and repeatably with conventional methods such as phosphoramidite method and polymerase chain assembly. DNA aqueous enzymatic assembly is a promising alternative. Multiple DNA fragments can be reliably and consistently assembled into one product using engineering enzymes in an aqueous medium. Digital Microfluidics uses asymmetric electric fields to simultaneously manipulate multiple reagent droplets on an array of electrodes. This platform is biocompatible and easily controllable. It has been used for …
Adapting Emergency Response: A Nationwide Study Of Disability Accommodation Practices Among Local Emergency Managers, Iskender Mambetkadyrov
Adapting Emergency Response: A Nationwide Study Of Disability Accommodation Practices Among Local Emergency Managers, Iskender Mambetkadyrov
Theses
Local emergency management agencies (EMAs), who are critical in disaster response and management in the US, frequently underserve their constituencies who identify as people with disabilities (PWD) and, more specifically, as deaf and hard of hearing (DHH). These shortfalls have still persisted even after policies such as the Americans with Disabilities Act have passed in an attempt to bridge these gaps. This thesis aims to explore the organizational actions & strategies local EMAs have taken towards disability inclusion, the barriers they run into, and explore whether increases in general disability-inclusive actions lead to increased DHH-specific inclusive actions to steer local …
Dubai Urban Planning 2040: Resource Requirements In The Urban District 5, Bakhit Alfalasi
Dubai Urban Planning 2040: Resource Requirements In The Urban District 5, Bakhit Alfalasi
Theses
The availability of water, food, energy and air quality resources is compromised by prevailing global issues like environmental stress, climate change, and population growth. This research study details the different requirements for Dubai urban District 5 based on the tenets laid out in the Urban Planning 2040 initiative. The literature review section looks into existing literature on the present state of affairs in the UAE as regards availability of water, food, and energy resources in the country and implications of their production processes on air quality. The Study will employ an exploratory research design, where a systematic review of literature …
Assessing The Effectiveness Of Law Enforcement Strategies In Combating E-Crime Using Ai, Mohammad Ahmad Alkhazraji
Assessing The Effectiveness Of Law Enforcement Strategies In Combating E-Crime Using Ai, Mohammad Ahmad Alkhazraji
Theses
The rise of e-crime, particularly international online scams, has presented significant challenges to law enforcement agencies around the world. Scams have become transnational, exploiting the internet's interconnectivity to deceive victims from different countries. Law enforcement agencies have a severe uphill battle in trying to combat these types of crimes because of technological and jurisdictional limitations and resource accessibility. This research has analyzed the effectiveness of current policing against international online scams, focusing on the challenges encountered thus far and possible solutions. The critical research objectives revolve around assessing law enforcement agencies' present strategies, identifying the main barriers that these agencies …
Performance Evaluation Of Ai-Based Healthcare Systems In The United Arab Emirates: A Comparative Analysis Of Diagnostic Accuracy And Predictive Capability Using Spss, Hamad Ismail
Theses
This research investigates the opinions and experiences of United Arab Emirates (UAE) healthcare personnel on artificial intelligence (AI)-based technology. Successful application and integration depend on a knowledge of the viewpoints of people at the front-line of patient care as artificial intelligence technology progressively enter healthcare contexts. Combining advanced statistical analysis with quantitative questionnaires using a mixed-methods approach, the study presents a whole picture of artificial intelligence opinions across several healthcare environments and UAE geographical areas. The study revealed a topography of opinions on artificial intelligence in the healthcare sector that is complicated. Though views varied widely based on their employment, …
Predictive Rescue System Through Real-Time Accident Monitoring Leveraging Artificial Intelligence, Humaid Ahmad Al Falasi
Predictive Rescue System Through Real-Time Accident Monitoring Leveraging Artificial Intelligence, Humaid Ahmad Al Falasi
Theses
The research develops a robust AI-powered predictive system utilizing convolution neural networks (CNNs), IoT-enabled devices, and advanced machine learning (ML) models to improve real-time monitoring, resource allocation, and decision-making. The proposed system aims to minimize emergency response times, optimize resource allocation, and enhance public safety. Using machine learning models such as convolution neural networks (CNNs) and random forests, the system integrates IoT devices, traffic cameras, and deep learning algorithms to enable proactive incident management and efficient decision-making. A methodological framework based on CRISP-DM guides the project, encompassing historical data analysis, system modeling, and evaluation against real-world data from UAE traffic …
Predicting Consumer Churn In Telecommunications, Amna Yousef Almatrooshi
Predicting Consumer Churn In Telecommunications, Amna Yousef Almatrooshi
Theses
The telecommunications industry is highly competitive, with consumer churn being a significant concern due to market saturation. Churn, or customer attrition, refers to customers leaving a service provider due to dissatisfaction or better offers from competitors. This phenomenon is particularly impactful in the telecom sector, where retaining customers is more cost-effective than acquiring new ones. To address this issue, telecom companies increasingly rely on machine learning techniques to predict customer churn and implement strategies to retain at-risk customers. The study highlights the importance of understanding the factors contributing to customer churn, including service quality, pricing, customer service interactions, and competition. …
Scattering Spectroscopy Of Granular Media For Remote Sensing Applications, Chris H. Lee
Scattering Spectroscopy Of Granular Media For Remote Sensing Applications, Chris H. Lee
Theses
The reflectance of a surface depends not only on the physical characteristics of the medium, but also on the geometry of how the surface is illuminated and viewed. Remote sensing data of a surface at multiple illumination and/or viewing angles can provide additional information that we can use to retrieve the physical properties of the surface and/or underlying medium as opposed to remotely sensed data at a single geometry. In this work, I characterized different aspects of angular reflectance, or scattering, spectroscopy of granular media for remote sensing applications. I applied polarimetry to various samples of olivine sand as a …
Mapping Of The Potential To Substitute Plastic In Food Packaging In Finnish Supermarkets, Taina Lahtinen, Kirsi Kataja, Jari Viitanen, Vinay Kumar, Jussi Lahtinen, Ali Harlin
Mapping Of The Potential To Substitute Plastic In Food Packaging In Finnish Supermarkets, Taina Lahtinen, Kirsi Kataja, Jari Viitanen, Vinay Kumar, Jussi Lahtinen, Ali Harlin
Journal of Applied Packaging Research
Single-use plastics (SUP), which are extensively utilized in food packaging, are one notable cause for the constantly growing littering issue. This novel study is one of the first attempts to systemically analyze food packaging data to reveal the potential for plastic packaging material reduction or substitution by utilizing a primary packaging material summary of single items sold in Finnish supermarkets. The outcome of the study indicates considerable dissimilarities among product groups concerning used packaging materials, weight, share of plastic, and sales volume. The analysis identified sweets and ready-to-eat meals as product groups for which there is a clear need, but …
Faculty Library News - September 2024, Rit Libraries
Faculty Library News - September 2024, Rit Libraries
RIT Digital Archives
No abstract provided.
Integration Of Blockchain And Machine Learning For Robust Intrusion Detection In Iot Network, Saeed Al Banna
Integration Of Blockchain And Machine Learning For Robust Intrusion Detection In Iot Network, Saeed Al Banna
Theses
This thesis explores the integration of blockchain technology and machine learning techniques to enhance cybersecurity in IoT networks. An intrusion detection system (IDS) framework is proposed, leveraging the decentralized, immutable, and transparent features of blockchain with the predictive capabilities of machine learning. The study utilizes the CICIoT2023 dataset, which has 33 diverse attack types on 105 devices, to evaluate five machine learning models: Random Forest, MLP, CNN, and RNN and a Hybrid RF/MLP Model. The Random Forest and MLP models demonstrated superior performance across multi-class, grouped, and binary classification tasks. Blockchain technology is integrated to securely log detected anomalies, to …
The Future Of Robotic-Teacher Relationship In Classrooms: Cooperation Or Competition?, Miaad Saleh Hassan Abdullah Mobarak
The Future Of Robotic-Teacher Relationship In Classrooms: Cooperation Or Competition?, Miaad Saleh Hassan Abdullah Mobarak
Theses
As the realms of artificial intelligence (AI) and robotics undergo exponential growth and the issue of teacher shortage remains a concern, the potential for remarkable advancements in education with the assistance of robots becomes increasingly important. This review is conducted to understand the forthcoming role of robotics in education and its impact on teachers’ role in the classroom. Currently, it is widely known that AI is evolving in a rapid way, creating a huge presence in our life, building a perception among people that it will take over the role of human in various settings in the future. Various articles …
Analysis Of Data Containing Outliers, David L. Farnsworth
Analysis Of Data Containing Outliers, David L. Farnsworth
Articles
A strategy for accommodating outlying observations, as well as non-representative, suspect, missing, or otherwise troubling observations, is described. Each unusual observation is decomposed into the sum of two components. One component is the value implied by the trusted observations in the data set. The other component is the unusual part. In this way, the fitting of the data set can then proceed, and, additionally, a numerical value can be ascribed to the unusual part. The method offers not only an antidote for observations with irregular numerical values, which often have the power to contaminate and alter analyses, but also a …
Theoretical And Experimental Study Of Thermoradiative Cells For Space Power Generation, Andrew Schaefer
Theoretical And Experimental Study Of Thermoradiative Cells For Space Power Generation, Andrew Schaefer
Theses
Reliable power production is always a core element when engineers design a space mission. Typically, III-V solar arrays are used due to their high efficiency, radiation tolerance, and overall reliability. One downside of photovoltaics involves the need for incident light from the Sun. There are many places in the solar system and beyond that do not have access to sustained, high concentration solar radiation. As missions fly farther from the Sun, the available light power decreases with the inverse square of the distance. This means that missions past Jupiter are only receiving one tenth the solar power compared to Earth. …
Predictive Modeling Of Sociodemographic And Self-Construct Factors Affecting Math Performance In Secondary Education, Shaikha Ahmed Alaleeli
Predictive Modeling Of Sociodemographic And Self-Construct Factors Affecting Math Performance In Secondary Education, Shaikha Ahmed Alaleeli
Theses
Math is a prime subject because of its transferability to other fields of learning and its applications in daily and professional life. As a result, most countries and educational institutions focus on improving math performance, however student grades vary due to personal, familial, and institutional factors. Thus, the present study seeks to build a predictive model of sociodemographic and self-construct factors affecting math performance and identify which ones are the most impactful on student grades. The specific objectives are (1) to determine the association between student/family and school sociodemographic characteristics and math performance; (2) to the influence of student self-construct …
On The Optimization Of Sensors For The Remote Sensing Of Crop Yield, Nathan M. Burglewski
On The Optimization Of Sensors For The Remote Sensing Of Crop Yield, Nathan M. Burglewski
Theses
Remote sensing has long been a part of precision agriculture research, with products related to spatially-explicit, within-field management of yield, disease, and harvest scheduling, to name a few application areas that are of interest to industry. A variety of spaceborne, airborne, and in-situ sensors are used to monitor crop health throughout the growing season, inform management decisions for farmers, and dictate logistical or planning operations. Crop yield forecasting, specifically, comes in many forms, but recently machine learning algorithms have gained prominence, at the cost of more traditional parametric regression models. While much work has been accomplished towards grain yield estimation …
Polytetrafluoroethylene (Ptfe) Vs. Ptfe-Free Coatings On Paper Label: Analysis Of Label Mechanical And Performance Properties, Chuqi Su
Theses
Post-printed water-based (WB) coatings, commonly known as aqueous coatings, have gained popularity for paper-based label manufacturing because of their environmentally friendly characteristics. Polytetrafluoroethylene (PTFE) is one of the common additives added to the WB coatings to achieve heat resistance and rub resistance properties for the final product. PTFE is a synthetic fluoropolymer of tetrafluoroethylene, and is a category of Polyfluorinated Substances (PFAS). As of January 2024, the sale of food packaging containing PFAS is prohibited in the state of Minnesota, with expectations that this regulation will extend to other states because of the proven harm of PFAS to both humans …
A Dual-Core Risc-V Processor With A Two-Level Programmable Cache Emulation And Test System, Marcus Figorito
A Dual-Core Risc-V Processor With A Two-Level Programmable Cache Emulation And Test System, Marcus Figorito
Theses
The Compiler Lease of Cache Memory (CLAM) project has previously explored the effects of lease-based replacement policies for benchmarks (programs) run on single-core with single-level and single-core with two-level cache architectural config- urations. This work builds and expands on this prior work by continuing the same line of inquiry for a dual-core with two-level cache architectural configuration. The lease-based replacement policies studied are: Compiler Assigned Reference Leasing (CARL), Phased Reference Leasing (PRL), Scope Hooked Eviction Leasing (SHEL), and Cross-Scope Hooked Eviction Leasing (C-SHEL). These are compared to the per- formance of the traditional Pseudo Least Recently Used (PLRU) replacement policy. …
Physical Properties Of Bulk Carbon Nanotube Conductors Impacting Radio Frequency Waveguide Measurements, Samuel J. Boyd
Physical Properties Of Bulk Carbon Nanotube Conductors Impacting Radio Frequency Waveguide Measurements, Samuel J. Boyd
Theses
Recent developments in radio frequency (RF) electronics motivate the interest in developing multi-functional materials which have effective electrical properties with increasing frequency that minimize the conventional skin effect. Carbon nanotubes (CNTs) are emerging as a candidate material due to high direct current (DC) electrical conductivity, flexure tolerance, corrosion resistance, and low density. The DC electrical conductivity of CNT networks is affected by the high resistance junctions between individual or bundled CNTs. Strategies to modify the properties of these junctions have included chemical doping, nano-metal deposition, and physical densification. Alternating current (AC) conductivity measurements of bulk CNT materials to date have …
Exploring Human Perception In Machining Monitoring, Rui Bob Yang
Exploring Human Perception In Machining Monitoring, Rui Bob Yang
Theses
Monitoring CNC machining processes ensures the satisfaction of dimensional tolerances and surface finish requirements, while minimizing tool wear and downtime caused by accidents. Sensor-based automated monitoring systems driven by Artificial Intelligence (AI) trained on extensive datasets have demonstrated high accuracy and consistency in monitoring tool wear progression. However, the performance of AI-driven monitoring systems heavily relies on the available training data, often struggling with scenarios not covered in training, such as variations in tool path, feed rate, and machine models. In contrast, experienced machinists excel in monitoring machining operations across diverse tool paths, machining parameters, and machine tool models, often …
Plastic Abundance And Degradation In The Anaerobic Digestion Of Food Waste, Abbey Whitney
Plastic Abundance And Degradation In The Anaerobic Digestion Of Food Waste, Abbey Whitney
Theses
Food waste (FW) is a pervasive issue across the supply chain, with an estimated 30-40% of the food supply left unsold or uneaten annually (ReFED, 2022). In response, in 2015 the U.S. set a goal to halve FW by 2030 (U.S. EPA, 2020f). Valorization, the process of recovering value from FW, has become a key strategy, with anaerobic digestion (AD) playing a pivotal role. AD transforms organic waste into biogas and digestate, a potential soil amendment. However, plastic contamination in the organic waste stream poses a significant challenge. During digestion and storage, plastic debris can break down into microplastics (MP), …
Design And Implementation Of A Modular, Standalone Microfluidic Flow Control Platform For Cell Culture Applications, Meng-Chun Hsu
Design And Implementation Of A Modular, Standalone Microfluidic Flow Control Platform For Cell Culture Applications, Meng-Chun Hsu
Theses
Microfluidics, a technology of manipulating small quantities of fluids (0.1-10 µL), has drawn interest as an emerging platform for biomedical and chemical applications since its debut due to several advantages, including better precision in flow rate control, smaller required sample sizes, lower costs of analyses, and shorter turnaround times. Well-defined fluid flows are the hallmark feature of microfluidic culture systems and enable precise control over biophysical and biochemical cues at the cellular scale. One key demand for microfluidics is to control the delivered fluid flows to downstream applications. This is generally achieved via two major components – valves and pumps. …
Event Sensor Simulator With Hardware Accelerated Ray Tracer And Image Space Photon Mapping, Chengyi Ma
Event Sensor Simulator With Hardware Accelerated Ray Tracer And Image Space Photon Mapping, Chengyi Ma
Theses
In this study, we present an advanced event sensor simulator leveraging NVIDIA OptiX to address and overcome the limitations of existing event sensor simulators. Our simulator demonstrates significant improvements in both processing speed and temporal resolution compared to traditional methods such as v2e. These advancements are achieved by programming a real-time ray tracer with asynchronous event pixels using Nvidia OptiX’s sophisticated motion system, which provides hardware motion interpolation on GPU threads. This enables sampling dynamic scenes to generate a series of events independent from frame rates. Additionally, we introduce an image space photon mapping method utilizing OptiX for enhanced global …
Design Of Face-Milled Spiral Bevel Gear Drives With The Desired Conditions Of Meshing And Contact By Application Of The Universal Motion Concept, Akari Tawa
Theses
This thesis aims to improve the computational methodology proposed by Fuentes et al. (2018) for the design of face-milled spiral bevel gear drives in order to get closer to the objective gear tooth surfaces and provide the desired meshing and contact conditions. In the existing computational methodology, all machine-tool settings, excluding velocity ratio, are treated as constants, whereas in this work, the machine-tool settings will be computed by polynomial functions up to the fourth degree of the cradle angle, approach commonly known as Universal Motion Concept (UMC). The proposed approach assumes a predefined geometry for the wheel member of the …