Engineering Commons^™

Actividad 1: Romper El Embotellamiento, Patrick Young

Tema 3: Tráfico

Los modelos informáticos pueden ser excelentes herramientas para analizar sistemas complejos. En esta actividad, los estudiantes utilizarán un modelo informático basado en la web para explorar la relación entre el volumen de tráfico y el tiempo que tardan los vehículos en llegar del punto A al punto B. Luego, utilizarán el modelo para evaluar dos posibles soluciones para su ejemplo particular de congestión del tráfico. Los estudiantes compararán muestras pequeñas con muestras globales para así apreciar los beneficios de utilizar muestras aleatorias grandes.

Activity 3: Build It Fast!, Patrick Young

Theme 1: Structure and Process

One of the costs of any road project is the economic impact of rerouting traffic during the construction. Methods that minimize the disruption will reduce costs and often improve safety. Accelerated Bridge Construction (ABC) methods include prefabricating as much of the bridge as possible at an off-site location. Large parts are brought to the site and installed according to a plan that minimizes the time required to reroute traffic.

Activity 4: Green Winterization, Karen Ye

Theme 4: Please Pass the Salt

Materials other than salt are also used to mitigate the dangers of ice and increase traction. Additional materials used include sand, calcium chloride, and a mixture of salt brine and beet juice. The use of each method involves trade-offs.

A Value-Based Modeling Framework For Solar Energy Utilization And Monitoring, Muslat A. Alanizi

All ETDs from UAB

We have developed and presented a value-based modeling (VBM) framework for optimal solar energy utilization and monitoring. Our model adopts a universal approach that prioritizes values to ensuring a comprehensive analysis of solar energy systems by recognizing the complexities and intricacies of the renewable energy landscape. To determine the robustness and applicability of our VBM framework, we subjected it to a real-world test through a detailed case study focusing on Net-Metering Monitoring System. This validation reinforced the model's efficacy and showcased its potential as a dynamic tool for decision-making in solar energy. Using Shannon's entropy method, we recorded the optimal …

Study Of The Processing-Structure-Property Relationship In Recycled Thermoplastic Composites, Carlos Gerardo Angulo Ruiz

All ETDs from UAB

The quest for sustainable materials and manufacturing techniques has spurred research into distinct composite materials that utilizes recycled thermoplastics in combination with natural hemp fibers and recycled carbon fibers. This dissertation delves into the processing of recycled high-density polyethylene (rHDPE) with hemp fiber and separately, with recycled carbon fiber (rCF), scrutinizing their suitability as environmentally friendly and economically viable materials. The study focuses on distinct processing methods used for hemp fiber and recycled carbon fiber: compression molding with hemp mats as well as extrusion compression molding, additive manufacturing, and injection molding for recycled carbon fiber, while the recycled carbon fiber …

Analytical Fundamentals For Advancing Aero-Road/Terrain Multibody Morphing Dynamics And Stability Of Autonomous Utility Truck In Hazardous Environments, Parth Y. Patel

All ETDs from UAB

Severe weather conditions have steadily increased over the last two decades. Therefore, the safety of the rescue and repair team is of paramount importance while they attend to emergencies due to these severe weather conditions. Utility trucks are the first responders in these extreme climate and weather situations for cutting trees to restore traffic, recovering life beings from destroyed properties, repairing electric posts, and restoring power. Such trucks with morphing capabilities of the boom equipment can increase the possibility of road accidents in several ways and create hazardous situations on the roads and off-road conditions while moving and performing critical …

A Simulation Framework For Identity And Access Management Based On Internet Of Things Architecture, Vahid Moghaddasi

All ETDs from UAB

The swift progression of the Internet of Things (IoT) architecture has revolutionized various industrial processes, including enterprise Identity and Access Management (IAM). This dissertation develops a dynamic process framework for Identity and Access Management based on the Internet of Things architecture. System analysis with Digital Twin simulation explores the integration of IoT devices to enhance IAM in enterprises. Digital Twin is a virtual service that enabled us the creation of a comprehensive digital IAM environment to explore alternative designs. This dissertation begins by providing an overview of IoT architecture and its impact on enterprise IAM. It discusses the challenges enterprises …

New Records Of Distribution And Natural History Of Vertebrates In Arkansas: 2020-2023, R. Tumlison, H.W. Robison, M.B. Connior, D.B. Sasse, T.S. Risch, K. Edmonds, J.D. Wilhide, C.R. Allen

Journal of the Arkansas Academy of Science

Small details of natural history often go undocumented to science if those details are not parts of larger studies. However, knowledge of small details can provide insights that lead to interesting questions about ecological relationships or environmental change. We have compiled recent important observations of natural history of vertebrates, including several distributional and size records of fishes, atypical carapace shape in a common snapping turtle, an unusual support structure for a bird nest, healed damage to a broken jaw of a young deer, and numerous distributional records of bats.

Mechanical, Thermal, Flammability Analyses Of Composites Made Of Recycled High-Density Polyethylene And Perlite, Sergen Barçin

All ETDs from UAB

High-density polyethylene (HDPE) is a widely used plastic for applications such as packaging for food industry and piping system in nuclear plants because of its beneficial properties, including lightweight, impact resistance, and chemical resistance. The use of HDPE can contribute to environmental problems, such as depletion of natural resources and accumulation of plastic waste in landfills and oceans. There is a growing need to find ways to recycle and reuse HDPE. While the use of recycled HDPE presents certain challenges such as relatively low thermal, mechanical properties, and flame retardancy, the addition of mineral-based additives can enhance these properties. By …

Robotic Inspection And Data Analytics To Localize And Visualize The Structural Defects Of Civil Infrastructure, Jinglun Feng

Dissertations and Theses

Ground Penetrating Radar (GPR) serves as a significant nondestructive evaluation (NDE) technique to inspect and survey underground objects (e.g., rebars, utility pipes) in complex urban environments. In addition to GPR, visual-based surface defect detection plays a crucial role in assessing and maintaining civil infrastructure. To facilitate deployment on a robotic platform and enhance inspection capabilities, the integration of GPR and visual-based sensors, such as RGB-D cameras, is crucial to obtain accurate subsurface and surface information. This thesis presents a novel robotic-based inspection system for the efficient collection of NDE data and accurate 3D reconstruction of both subsurface and surface infrastructure …

Nusat I Project, Robert J. Twiggs

Robert "Bob" Twiggs STEM Education Collection

A PowerPoint Presentation created by Professor Bob Twiggs titled "NUSAT I Project" from 2023.

Data-Driven Analysis And Visualization Of Energy Consumption Patterns In Academic Buildings Via Development Of Matlab Gui Tool: A Case Study At The City College Of New York From 2018-2022, Mazid Muhit

Dissertations and Theses

This case study investigates energy consumption patterns and peak periods within various buildings in the City College of New York (CCNY), aiming to foster the development of effective energy management strategies. The research develops a simple MATLAB graphical user interface (GUI) tool, designed to simplify the future replication of similar analyses using new datasets. Ten distinct CCNY buildings were examined, using data from 2018 to 2022, which includes Administration, Baskerville, ComptonGeothals-Basement, Harris, Marshak, Shepard, Steinmann, Wingate, NAC-Boiler-Room, and NAC-North-Side. The methodology entails processing original excel files to extract relevant data, followed by a comprehensive analysis within MATLAB. This involves generating …

Bifurcation Levels Of The Integral Manifolds Of The Newtonian N-Body Problem, Hannah G. Havel

CURE Proceedings

The N-body problem, first proposed by Isaac Newton, is a field of study in mathematics and physics that involves predicting the motion of particles moving under their mutual gravitational attraction. It has significance to many areas of science, including physics and computer science, and is crucial in understanding how the universe works. In fact, it was a primary motivation for Newton's development of calculus. An important application of the N-body problem is within celestial mechanics and involves how planets and other celestial bodies move with mutual gravitational attraction. It is important in developing how satellites behave in space using complicated …

Predicting Dissolution Kinetics Of Tricalcium Silicate Using Deep Learning And Analytical Models, Taihao Han, Sai Akshay Ponduru, Arianit Reka, Jie Huang, Gaurav Sant, Aditya Kumar

Electrical and Computer Engineering Faculty Research & Creative Works

The dissolution kinetics of Portland cement is a critical factor in controlling the hydration reaction and improving the performance of concrete. Tricalcium silicate (C₃S), the primary phase in Portland cement, is known to have complex dissolution mechanisms that involve multiple reactions and changes to particle surfaces. As a result, current analytical models are unable to accurately predict the dissolution kinetics of C₃S in various solvents when it is undersaturated with respect to the solvent. This paper employs the deep forest (DF) model to predict the dissolution rate of C₃S in the undersaturated solvent. The …

Experimental Study For Improving The Productivity Of Laser Foil Printing, Tunay Turk, Ming-Chuan Leu

Mechanical and Aerospace Engineering Faculty Research & Creative Works

This Study Aims to Improve the Productivity of Laser Foil Printing (LFP), Which is a Foil-Based Metal Additive Manufacturing (AM) Process. LFP Uses a Dual-Laser System to Fabricate a 3-Dimensional Part in a Layered Fashion by Performing Four Steps in Each Layer: Spot Welding, Pattern Welding, Contour Cutting, and Edge Polishing, All of Which Performed by Use of Lasers. We Experimentally Examined the Welding and Polishing Steps in This Study to Enhance LFP Productivity. the Jump Speed, Dwelling Duration, and Weld Path of Spot Welding and the Line Welding Speed and Wait Time between Weld Lines of Pattern Welding Are …

Cook-Gen: Robust Generative Modeling Of Cooking Actions From Recipes, Revathy Venkataramanan, Kaushik Roy, Kanak Ray, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit Sheth

Publications

As people become more aware of their food choices, food computation models have become increasingly popular in assisting people in maintaining healthy eating habits. For example, food recommendation systems analyze recipe instructions to assess nutritional contents and provide recipe recommendations. The recent and remarkable successes of generative AI methods, such as auto-regressive large language models, can lead to robust methods for a more comprehensive understanding of recipes for healthy food recommendations beyond surface-level nutrition content assessments. In this study, we explore the use of generative AI methods to extend current food computation models, primarily involving the analysis of nutrition and …

Proknow: Process Knowledge For Safety Constrained And Explainable Question Generation For Mental Health Diagnostic Assistance, Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit Sheth

Publications

Current Virtual Mental Health Assistants (VMHAs) provide counseling and suggestive care. They refrain from patient diagnostic assistance because of a lack of training on safety-constrained and specialized clinical process knowledge (Pro-Know). In this work, we define ProKnow as an ordered set of information that maps to evidence-based guidelines or categories of conceptual understanding to experts in a domain. We also introduce a new dataset of diagnostic conversations guided by safety constraints and ProKnow that healthcare professionals use (ProKnow-data). We develop a method for natural language question generation (NLG) that collects diagnostic information from the patient interactively (ProKnow-algo). We demonstrate the …

Ground Risk Model For Uavs, Andrew V. Shelley

International Journal of Aviation, Aeronautics, and Aerospace

This paper develops an alternative to the ground risk model provided by JARUS SORA. Key inconsistencies in the SORA ground risk model are identified, specifically ground risk continuing to increase when there is no further increase in fatality probability.

Population density is a critical component of UAS ground risk. Definitions of population density adopted by various regulatory jurisdictions are reviewed. A categorisation of population density is developed based on official statistics categories for New Zealand. This categorisation is more granular than that provided by SORA, enabling a more nuanced assessment of risk.

A ground risk model is then developed using …

Faa Designated Pilot Examiner System Insights, Wendy Beckman, Michael Gref, Timothy Rosser

International Journal of Aviation, Aeronautics, and Aerospace

As part of the Federal Aviation Administration (FAA) Reauthorization Act of 2018 the FAA was required by Congress to review Designated Pilot Examiner (DPE) policies and procedures. This task was delegated to the Designated Pilot Examiner Reforms Working Group (DPERWG). This Group delivered its recommendations to the FAA in June 2021, and this research study was conducted in late January of 2022 to attempt to provide additional insights to the agency prior to its required response to the DPERWG in June of 2022.

This research project aimed to provide perceptions of the current DPE system from both DPEs and flight …

Factors Affecting Passengers’ Acceptance Of Single Pilot Operations: A Qualitative Study Conducted In Greece, Panagiotis Kioulepoglou, Ilias Makris

International Journal of Aviation, Aeronautics, and Aerospace

Single Pilot Operations (SPO) have drawn significant attention during the last years, as a result of the increased dual flight crew expenses, and as a remedy to the impending pilot shortage which is estimated to manifest itself in the following years. The main objective of this study was to explore the factors that influence the Greek passengers’ acceptance of SPO. To that end, 12 semi-structured interviews were conducted and analyzed through Thematic Analysis by combining both a priori and inductive coding procedures.

Qualitative findings of this process revealed seven factors influencing passengers’ intention to accept and fly with a SPO …

Ads-B Communication Interference In Air Traffic Management, George Ray

International Journal of Aviation, Aeronautics, and Aerospace

Automated Dependent Surveillance Broadcast (ADS-B) provides position and state information about aircraft and is becoming an essential component in the global air traffic management system. ADS-B transponders broadcast this key information on a common frequency to both other aircraft and to secondary surveillance radar systems located at ground stations. Both the aircraft transponders and the ground stations work together to assist in managing the commercial airspace. Since the aircraft transponders all broadcast on the same frequency and are in close proximity there is an apparent risk of interference and the garbling of the communications needed to manage the airspace.

The …

Testing Backward Chaining Ab-Initio Flight Instruction, Samuel M. Vance, Kat Gardner-Vandy Phd, Brendan A. Pearce

International Journal of Aviation, Aeronautics, and Aerospace

This conceptual/exploratory research updates that previously published in the Journal of Aviation/Aerospace Education and Research (JAAER) Vol. 30, Issue 1 (Spring 2021) which asked if backward chaining, ab-initio pilot training decrease time to first solo? The specific focus of the research was the viability of landings instruction as the first ab-initio lesson. The research compared a total of eight respondents in a backward-chained flight instruction methodology against four respondents in a forward-chained flight instruction methodology. All 12 respondents were recruited without previous flight instruction or Pilot-in-Command logged flight time. Ground instruction preceded simulator instruction which was followed by instruction in …

Single Pilot Operations And Public Acceptance: A Mixed Methods Study Conducted In Greece, Panagiotis Kioulepoglou, Ilias Makris

International Journal of Aviation, Aeronautics, and Aerospace

The airline industry is moving towards Single Pilot Operations (SPO), as a result of the increased training and salary cost of pilots, and also as a remedy to the impending pilot shortage which is estimated to manifest itself in the years to follow. The main objective of this study was to explore whether the Greek public is willing to accept only one pilot onboard, what are the factors that affect this decision, and which is the preferred method of replacing the second pilot by choosing between an array of alternative options proposed by the industry.

Based on the qualitative findings …

Statistical Analysis To Evaluate The Impact Of Quality Control And Quality Assurance On The Aircraft Maintenance Turnaround Time, Deepak Chandra Chandola, Seema Verma, Kamal Jaiswal, Rajendrra Prasad Khaolliya, Preeti Chandola

International Journal of Aviation, Aeronautics, and Aerospace

The turnover time for aircraft maintenance is crucial for the operational efficiency and profitability of airlines. Quality assurance (QA) and quality control (QC) procedures play a role in assuring the safe and reliable operation of aircraft. The purpose of this paper is to evaluate the impact of QC and QA on turnover time and to propose strategies for achieving a balance between quality and efficiency. A large-scale survey of airline and aviation maintenance organization maintenance staff was combined with a literature study to form a mixed-methods strategy. The findings indicate that quality control and quality assurance have a substantial impact …

Enhancing Trajectory-Based Operations For Uavs Through Hexagonal Grid Indexing: A Step Towards 4d Integration Of Utm And Atm, Deepudev Sahadevan Neelakandan, Hannah Al Ali

International Journal of Aviation, Aeronautics, and Aerospace

Aviation is expected to face a surge in the number of manned aircraft and drones in the coming years, making it necessary to integrate Unmanned Aircraft System Traffic Management (UTM) into Air Traffic Management (ATM) to ensure safe and efficient operations. This research proposes a novel hexagonal grid-based 4D trajectory representation framework for unmanned aerial vehicle (UAV) traffic management that overcomes the limitations of existing square/cubic trajectory representation methods. The proposed model employs a hierarchical indexing structure using hexagonal cells, enabling efficient ground based strategic conflict detection and conflict free 4D trajectory planning. Additionally, the use of Hexagonal Discrete Global …

A Computational Model Of Trust Based On Dynamic Interaction In The Stack Overflow Community, Patrick O’Neill

Dissertations

A member’s reputation in an online community is a quantified representation of their trustworthiness within the community. Reputation is calculated using rules-based algorithms which are primarily tied to the upvotes or downvotes a member receives on posts. The main drawback of this form of reputation calculation is the inability to consider dynamic factors such as a member’s activity (or inactivity) within the community. The research involves the construction of dynamic mathematical models to calculate reputation and then determine to what extent these results compare with rules-based models. This research begins with exploratory research of the existing corpus of knowledge. Constructive …

Exploring Gender Bias In Semantic Representations For Occupational Classification In Nlp: Techniques And Mitigation Strategies, Joseph Michael O'Carroll

Dissertations

Gender bias in Natural Language Processing (NLP) models is a non-trivial problem that can perpetuate and amplify existing societal biases. This thesis investigates gender bias in occupation classification and explores the effectiveness of different debiasing methods for language models to reduce the impact of bias in the model’s representations. The study employs a data-driven empirical methodology focusing heavily on experimentation and result investigation. The study uses five distinct semantic representations and models with varying levels of complexity to classify the occupation of individuals based on their biographies.

Evaluating The Performance Of Vulkan Glsl Compute Shaders In Real-Time Ray-Traced Audio Propagation Through 3d Virtual Environments, James Buggy

Dissertations

Real time ray tracing is a growing area of interest with applications in audio processing. However, real time audio processing comes with strict performance requirements, which parallel computing is often used to overcome. As graphics processing units (GPUs) have become more powerful and programmable, general-purpose computing on graphics processing units (GPGPU) has allowed GPUs to become extremely powerful parallel processors, leading them to become more prevalent in the domain of audio processing through platforms such as CUDA. The aim of this research was to investigate the potential of GLSL compute shaders in the domain of real time audio processing. Specifically …

Evaluation Of Text Transformers For Classifying Sentiment Of Reviews By Using Tf-Idf, Bert (Word Embedding), Sbert (Sentence Embedding) With Support Vector Machine Evaluation, Mina Jamshidian

Dissertations

As the online world evolves and new media emerge, consumers are sharing their reviews and opinions online. This has been studied in various academic fields, including marketing and computer science. Sentiment analysis, a technique used to identify the sentiment of a piece of text, has been researched in different domains such as movie reviews and mobile app ratings. However, the video game industry has received relatively little research on experiential products. The purpose of this study is to apply sentiment analysis to user reviews of games on Steam, a popular gaming platform, in order to produce actionable results. The video …

Application Of Shallow Neural Networks To Retail Intermittent Demand Time Series, Urko Allende

Dissertations

Accurate sales predictions are essential for businesses in the fast-moving consumer goods (FMCG) industry. However, their demand forecasts are often unreliable, leading to imprecisions that affect downstream decisions. This dissertation proposes using an artificial neural network to improve intermittent demand forecasting in the retail sector. The research investigates the validity of using unprocessed historical information, eluding hand-crafted features, to learn patterns in intermittent demand data. The experiment tests a selection of shallow neural network architectures that can expedite the time-to-market in comparison to conventional demand forecasting methods. The results demonstrate that organisations that still rely on manual and direct forecasting …