Other Engineering Commons^™

Amazon Fba Vs Fbm; A Strategic Approach To Determine Which Method Can Effectively Utilize Project Management Principles To Enhance Your Success As A New Amazon Seller., Tiffany Renee White

Theses and Dissertations

Navigating the complexities of a platform such as Amazon demands a strategic approach guided by project management principles. A comparative analysis of Fulfillment by Amazon (FBA) and Fulfillment by Merchant (FBM) methods were completed by focusing on how project management principles optimize product acquisition, supply chain management, and shipping methods for Amazon sellers. The objectives of this study included the identification of top product acquisition tools, the evaluation of inventory management software, assessing shipping methods, and determining the most effective fulfillment process for Amazon seller success. A mixed-methods approach was applied, involving an Amazon seller survey, literature review, data analysis, …

Geomagnetic Substorms Prediction Model Using Combined Physics-Based And Deep Learning Modeling Techniques, Ruthba Yasmin

Graduate Theses and Dissertations (2019 - present)

This thesis aims to develop a hybrid physics-incorporated neural network model (PINN) for classifying geomangnetic substorms in Earth's Magnetosphere. The model is trained using a comprehensive list of substorm onsets, ground magentometer data from a global network, and solar wind parameters from the Advanced Composition Explorer (ACE) satellite. Two different neural network architectures are used, and the physics model used for training is called WINDMI. The magnetic field components on the ground, which are a function of the ionospheric currents, are captured by the SML index. The methodology involves using 60-minute data segments preceding an event to train the hybrid …

Investigating Bimanual Haptic Exploration With Arm-Support Exoskeletons, Balagopal Raveendranath

All Dissertations

The ability to judge properties like weight and length of hand-held objects is essential in industrial work. Sometimes workers use devices like exoskeletons, which can augment their ability to lift and move heavy objects. Previous studies have investigated the perceptual information available for one-handed weight and length judgments. The current study investigated how blindfolded participants bimanually heft and wield objects to explore haptic information, to perceive object heaviness or length. The study also investigated the effects of using an arm-support exoskeleton (ASE) on the perceived weight of hand-held objects. We empirically tested whether people wield and manipulate objects differently, depending …

Guidelines For Data Collection On Energy Performance Of Higher-Education Buildings In Egypt: A Case Study, Hesham Safwat, Ahmed A. Abdel-Rehim, Iman El-Mahallawi, Abdelwahab Hussein, Engy Elshazly, Ahmad Elshamy

Mechanical Engineering

Reliable energy analysis of buildings relies heavily on high-quality data leading to proper indicators. Previous studies have highlighted the importance of data quality in analyzing energy usage in residential and non-residential buildings in order to transform declarations to actions, optimise energy efficiency policies and monitor progress and failures in countries. Collected data must adhere to national and international standards for energy performance in buildings. This study aims to provide practical guidelines for effectively collecting and preparing data suitable for evaluating energy performance in Egyptian higher-education (HE) buildings. The guidelines are developed based on a comprehensive case study, considering data availability …

Techno-Economic Analysis Of Solar Pv Systems Under Various Environmental Conditions, Ramkiran B

Theses and Dissertations

World Energy Council has predicted that the global electricity demand will peak in 2030. The need for renewable energy has grown rapidly due to the rising energy demand in this ever-growing population. Green house gas emissions are predominantly due to the energy generation and consumption of fossil fuels. On the other hand, fossil fuels supply nearly 74% of India's energy demand, making India one of the world's largest coal consumers.

According to World Resource Institute, India ranks fourth in the world in terms of carbon emissions. Investments in renewable energy sources and energy-saving technologies should be part of a solution …

A Case Study Of The Crashoverride Malware, Its Effects And Possible Countermeasures, Samuel Rector

Cybersecurity Undergraduate Research Showcase

CRASHOVERRIDE is a modular malware tailor-made for electric grid Industrial Control System (ICS) equipment and was deployed by a group named ELECTRUM in a Ukrainian substation. The malware would launch a protocol exploit to flip breakers and would then wipe the system of ICS files. Finally, it would execute a Denial Of Service (DOS) attack on protective relays. In effect, months of damage and thousands out of power. However, due to oversights the malware only caused a brief power outage. Though the implications of the malware are cause for researching and implementing countermeasures against others to come. The CISA recommends …

Immersive Japanese Language Learning Web Application Using Spaced Repetition, Active Recall, And An Artificial Intelligent Conversational Chat Agent Both In Voice And In Text, Marc Butler

MS in Computer Science Project Reports

In the last two decades various human language learning applications, spaced repetition software, online dictionaries, and artificial intelligent chat agents have been developed. However, there is no solution to cohesively combine these technologies into a comprehensive language learning application including skills such as speaking, typing, listening, and reading. Our contribution is to provide an immersive language learning web application to the end user which combines spaced repetition, a study technique used to review information at systematic intervals, and active recall, the process of purposely retrieving information from memory during a review session, with an artificial intelligent conversational chat agent both …

Wrack Lines Volume 24, Number 1, Spring/Summer 2024, Gract Cajski, Paul Choiniere, Maggie Cozens, Owen Placido, Judy Benson

Wrack Lines

"Natural Effects: Tales of Our Dynamic Environment" is the theme of this issue, with articles about a research project using GoPro cameras on oyster cages; the exploding population of black sea bass in Long Island Sound; three research projects in Connecticut salt marshes; a children's book illustrator and author and her book about kelp farming; and a living shoreline project in Old Saybrook, CT.

Diagnosing Discharge Events Within A Novel Miniature Simplified Coaxial Ion Trap Mass Analyzer, David Virgil Sirbescu-Stanley

Masters Theses

Mass spectrometry is a technique that organizes material samples by mass to reveal their chemical composition by forming a spectrum. Since their invention, ion trap mass spectrometers have undergone significant enhancements. This work, funded by the National Science Foundation and in collaboration with Brigham Young University, the Simplified Coaxial Ion Trap (SCIT), attempts to simplify ion trap geometry and combine three ion traps into one device. Successful demonstration of the SCIT functionality could reduce costs, reduce manufacturing complexity, and shrink total instrument volume. At the same time, trapping capacity and analytical efficiency will be increased. However, as discussed within, challenges …

An Evaluation Of The Equitable Practices For Stem Education To Prepare All Students For The 21st Century, Elizabeth Simpson

Dissertations

We are almost a quarter of the way through the 21st Century, yet most education institutions do not provide STEM education for all students. Science, technology, engineering, and math (STEM) have been a special focus of both industry and federal education initiatives in recent years. STEM is a proven way of building student skills needed for the workforce of tomorrow. The purpose of this study is to determine why education decision-makers resist implementing STEM programs equitably for all students. The context of this inquiry is district and school-based leaders throughout the United States, from elementary to high school, who have …

Casar Public Lecture: "Women & Stem Education In Egypt & The Us: Stepping Into A Man's World Of Science & Technology", The Prince Alwaleed Center For American Studies And Research Casar, Yasmeen El Ghazaly, Mark W. Deets

Performances, Events, and Presentations

In celebration of International Women's Day this Month, we held a public lecture titled: "Women & STEM Education in Egypt & the US : Stepping into a Man's World of Science & Technology " on Thursday March 28th, 2024 from 12:15 pm to 1:15 pm (assembly hour) – Conference and Visitor Center, Mary Cross Hall AUC New Cairo Despite a plethora of advances made by women in the world we live in today, they are still woefully underrepresented in the realm of STEM education and the associated career paths. At this event, we uncovered the history, reasons & challenges women …

Distribution Fitting And Anova Test To Analyze Pavement Sensing Patterns For Condition Assessments, Dada Zhang, Chun-Hsing Ho

Durham School of Architectural Engineering and Construction: Faculty Publications

Purpose – The purpose of this paper is to investigate the vehicle-based sensor effect and pavement temperature on road condition assessment, as well as to compute a threshold value for the classification of pavement conditions.

Design/methodology/approach – Four sensors were placed on the vehicle’s control arms and one inside the vehicle to collect vibration acceleration data for analysis. The Analysis of Variance (ANOVA) tests were performed to diagnose the effect of the vehicle-based sensors’ placement in the field. To classify road conditions and identify pavement distress (point of interest), the probability distribution was applied based on the magnitude values of …

Development Of Accurate Embedded Fracture Models For Naturally Fractured Reservoirs, Harun Ur Rashid

LSU Doctoral Dissertations

Natural fractures play a critical role in the performance of unconventional oil, gas, and geothermal reservoirs due to their prevalent occurrence within these systems. However, modeling these fractures accurately and efficiently is still challenging. This work centers on an extensive analysis of naturally fractured systems and proposes new fracture modeling algorithms that can predict the performance of fractured tight rocks accurately and efficiently. Several researchers have explored various methodologies to accurately and efficiently model fractured reservoirs. Among the approaches that can account for each individual fracture in these reservoirs, the embedded discrete fracture model (EDFM) is one of the most …

Nonprofit Leader Experiences In Sector-Bending After Lean Six Sigma Training: Tension, Concepts, And Changed Behaviors, Beverly Codallos

Dissertations

Government, business, and nonprofit represent three distinct types of organizations governed by different legal frameworks designed to facilitate collective action (DiMaggio & Anheier, 1990). The emergence of hybrid forms and increasing isomorphic pressures in the nonprofit sector (Bromley & Meyer, 2017; McCambridge, 2014) have challenged the traditional separation of organizational forms. This study explored the phenomenon popularized as sector-bending, “a wide variety of approaches, activities, and relationships that are blurring the distinctions between nonprofit and for-profit organizations, either because they are behaving more similarly, operating in the same realms, or both” (Dees & Anderson, 2003, pg. 16). This qualitative study …

Mbe Growth Of Sb Based Alloys Using Interfacial Misfit Arrays For Mwir Devices, Fatih Furkan Ince

Optical Science and Engineering ETDs

This thesis explores the monolithic integration of antimonide based narrow bandgap semiconductors on commercially available substrates for mid-wave infrared (MWIR) devices. The research focuses on the integration and growth of antimonide based alloys using the interfacial misfit dislocation (IMF) arrays to enhance the cost efficiency, manufacturability and performance. The study particularly investigates the relaxation mechanisms of antimonide alloys on InAs and InP substrates, assessing the impact of mismatch strain on the quality of epilayers. The IMF arrays are examined using high-resolution transmission electron microscopy (HR-TEM) and x-ray diffraction (XRD), revealing information about the effective strain relief mechanisms behind IMF arrays …

New Models For Estimating Minimum Miscibility Pressure Of Pure And Impure Carbon Dioxide Using Artificial Intelligence Techniques, Attia Attia, Ahmed Ashraf Soliman Eng., John Shahat Eng., Sayed Gomaa Prof., Fares Ashraf El Salamony Prof.

Petroleum Engineering and Gas

CO2 miscible flooding stands out as one of the most-commonly employed and promising processes in enhanced oil recovery. The key factor for ensuring success in designing and executing CO2 injection projects lies in the precise determination of the Minimum Miscibility Pressure (MMP). Despite significant research endeavors in measuring and predicting the MMP through the use of empirical, analytical, numerical, and experimental approaches, the need for a comprehensive, accurate, efficient, and easy-to-use model remains. In response to this gap, our study developed various predictive models with 205 datasets, including well-established ones such as Artificial Neural Network (ANN), Random Forest (RF), and …

A Comparison Of Western And Eastern Soft Systems Approaches, John L. Anaya, John L. Anaya, John L. Anaya

Master's Theses

Soft System Approaches have been developed worldwide to help problem-solvers and decision-makers develop solutions to complex problems, such as aerospace systems. Soft System Approaches were designed to help lower the disorder of developing a complex system by increasing understanding of a situation. Four Soft System Approaches were investigated, two from the West and two from the East. Within the context of the paper, the West refers to thought patterns associated with thinkers and scientists in Europe and North America, and the East refers to those from and around China. The two from the West are Peter Checkland’s Soft Systems Methodology …

A Bayesian Approach For Lifetime Modeling And Prediction With Multi-Type Group-Shared Missing Covariates, Hao Zeng, Xuxue Sun, Kuo Wang, Yuxin Wen, Wujun Si, Mingyang Li

Engineering Faculty Articles and Research

In the field of reliability engineering, covariate information shared among product units within a specific group (e.g., a manufacturing batch, an operating region), such as operating conditions and design settings, exerts substantial influence on product lifetime prediction. The covariates shared within each group may be missing due to sensing limitations and data privacy issues. The missing covariates shared within the same group commonly encompass a variety of attribute types, such as discrete types, continuous types, or mixed types. Existing studies have mainly considered single-type missing covariates at the individual level, and they have failed to thoroughly investigate the influence of …

Calculation Of Hydraulic Resistance Of A Tubular-Gridse Nozzle With Spiral Turbulizers, Nurmukhamedov Habibulla Sagdullaevich, Mavlonov Elbek Tulkinovich, S.Kh. Nishonova, Kh.S. Nurmukhamedov

Chemical Technology, Control and Management

The article presents the results of an experimental study on the hydraulic resistance of a tubular-grid nozzle made of smooth pipes and pipes with spiral turbulators. Experiments were carried out with nozzles made of smooth pipes and pipes with turbulators. Spiral turbulators are placed discretely with a step t/d=0,3125-0,9375 and installed on a tube sheet in a checkerboard pattern with a step s/d=1,15-10. Experimental studies were carried out with air flow in the transition region.

It has been established that with increasing numerical values of the dimensionless parameter s/d, the resistance of the pipe package decreases from 1,3 to 1,8 …

Radiation-Induced Polymerization Of Thermo-Responsive Polymers And Comprehensive Characterization For Improved Performance, Attia Attia, Islam Mohamed Eng., Mohamed El-Deab Prof., Nabila Maziad Prof.

Petroleum Engineering and Gas

Early water breakthrough with high water cut through highly conductive thief zones is a prevalent problem in many water-flooded oil reservoirs. Smart polymers that are sensitive to temperature changes, also known as thermo-responsive polymers, e.g., polyethylene glycol (PEG) have great advantages over conventional polymers that can be exploited to solve the problem of conductive thief zones. Thus, this study aims at designing and synthesizing a thermo-responsive polymer using Gamma Ray Induced radiation with good tolerance against high temperature, and high salinity reservoir conditions with feasible and economic synthesis procedure for application in Egyptian oil reservoirs. That is a combined use …

Evolvement Of Excusable Delay Clauses In Government Contracts Since The Covid-19 Pandemic, Jung Hyun Lee, Yunping Liang, Seyed Mohammad Ehsan Tabatabaee, Bryce Riccitelli

Durham School of Architectural Engineering and Construction: Faculty Publications

Excusable delay clauses in government construction contracts, often considered boilerplate with minimal modifications, have increased in attention since the outbreak of COVID-19. Despite the studies enumerating triggering events of the clause in the background of the pandemic, it is necessary to capture insights into how the unprecedented event is systematically accommodated by contract languages. The overarching goal of this study is to identify changes in contract languages over the pre-and post-pandemic eras by state departments of transportation (DOTs), focusing on excusable delay clauses. This study conducts a content analysis and a comparative analysis of state DOT construction contract documents, including …

Development Of Monitoring Systems Using Computer Vision Techniques For Precise Fish Farming, Abinaya N.S

Theses and Dissertations

Fish farm is a biosystem with diversity and uncertainties demanding, an intelligent manual monitoring process, which is labor-intensive, invasive, costly, discontinuous, and persistent. The proposed work aims to develop Computer Vision (CV) -based monitoring techniques for precise fish farming to address these problems. Three major monitoring operations namely (i) Fish behavior analysis, (ii) Fish Classification (FC) and (iii) Biomass estimation have been investigated.

Fish schooling activity has been monitored using an overhead vision camera. Problems associated with fish occlusion are addressed using the weighted K-means clustering technique which provides an accurate estimation of fish school locations. Temporal variations of these …

Mechanical And Electromagnetic Properties Of Incorporating Graphene Oxide In Cementitious Mixtures, Cherif Khalil

Theses and Dissertations

This multidisciplinary study aimed at investigating the impact of incorporating graphene oxide (GO) on the mechanical properties and electromagnetic (EM) shielding effectiveness of cementitious mixtures, as well as critically examining the mechanism with which GO affects their microstructure properties. Analysis of the literature review showed that there are discrepancies in reporting the impact of GO on the mortar mix. Consequently, this study focuses on exploring the cause for such discrepancies and identifies three main factors which are thoroughly investigated. The factors were the different sonication energies applied to the GO (Shear Mixing, 1.5 kJ/ml, 3 kJ/ml and 6 kJ/ml), the …

Investigation Of Machine Learning Driven Adaptive Control Strategy For Heat Exchanger Under Varying Fouling Conditions, Reshma Madhu Pk

Theses and Dissertations

Fouling is an undesirable and inevitable phenomenon that affects Heat Exchanger (HE) dynamics, increases maintenance cost (>50%), and loss of production. Conventional fouling prediction and control techniques demand an in-depth understanding of the HE-specific fouling dynamics. Hence, machine learning emerges as an ideal tool for learning the fouling process from the available measurement dataset.

The proposed work aims to design a machine learning-driven adaptive control technique for an industrial HE, subjected to varying fouling conditions. Naphtha cooler, an industrial HE utilized in petroleum refineries, employs cooling water to lower Naphtha temperature, but the high impurities in the recycled cooling …

Opportunities And Challenges Of Generative Ai In Construction Industry: Focusing On Adoption Of Text-Based Models, Prashnna Ghimire, Kyungki Kim, Manoj Acharya

Durham School of Architectural Engineering and Construction: Faculty Publications

In the last decade, despite rapid advancements in artificial intelligence (AI) transforming many industry practices, construction largely lags in adoption. Recently, the emergence and rapid adoption of advanced large language models (LLMs) like OpenAI’s GPT, Google’s PaLM, and Meta’s Llama have shown great potential and sparked considerable global interest. However, the current surge lacks a study investigating the opportunities and challenges of implementing Generative AI (GenAI) in the construction sector, creating a critical knowledge gap for researchers and practitioners. This underlines the necessity to explore the prospects and complexities of GenAI integration. Bridging this gap is fundamental to optimizing GenAI’s …

Diagnosis Of Disease Affecting Gait With A Body Acceleration‑Based Model Using Reflected Marker Data For Training And A Wearable Accelerometer For Implementation, Mohammad Ali Takallou, Farahnaz Fallahtafti, Mahdi Hassan, Ali Al‑Ramini, Basheer Qolomany, Iraklis I. Pipinos, Sara A. Myers, F. M. Alsaleem

Durham School of Architectural Engineering and Construction: Faculty Publications

This paper demonstrates the value of a framework for processing data on body acceleration as a uniquely valuable tool for diagnosing diseases that affect gait early. As a case study, we used this model to identify individuals with peripheral artery disease (PAD) and distinguish them from those without PAD. The framework uses acceleration data extracted from anatomical reflective markers placed in different body locations to train the diagnostic models and a wearable accelerometer carried at the waist for validation. Reflective marker data have been used for decades in studies evaluating and monitoring human gait. They are widely available for many …

Pathology Slide Segmentation, Mohamed Mohamed

Computer Science and Engineering Theses - Archive

The goal of this project was to create an image segmentation model that would extract an image of H&E pathology slides from real life scenarios. This was a part of a project that required the extraction of an image, querying of the image, and displaying the results. The baselines of the model were to be efficient, run on mobile devices, and be able to work with cameras of varying resolutions.

Application Of The Mixed Integer Nonlinear Programming Technique For The Economic Planning Of Transmission Networks In New Manner, Nader Shawky Abdelhakeem, Maged Gamal Lotfy, Mohamed Shibl Albags, Ahmed Saied Elzawawy

Mansoura Engineering Journal

In the recent years, the mathematical planning model of transmission networks based on full AC load flow has been developed. But, due to the model non-convexity and the existing of large number of local solutions, this model can only be used for small size networks as it consumes large unreasonable computation time in addition to its incapability to yield global solution in most cases. To overcome these problems, two new iterative solution procedures have been presented in this paper. In the first one, the objective function is changed to the minimization of the number of new lines required to satisfy …

Maximizing Mining Operations: Unlocking The Crucial Role Of Intelligent Fleet Management Systems In Surface Mining’S Value Chain, Arman Hazrathosseini, Ali Moradi Afrapoli

Earth and Environmental Sciences Faculty Publications

On the one side, the operational expenses of mining enterprises are showing an upward trend; and on the other side, conventional mining fleet management systems (FMSs) are falling short in addressing the high-dimensionality, stochasticity, and autonomy needed in increasingly complex operations. These major drivers for change have convinced researchers to search for alternatives including artificial-intelligence-enabled algorithms recommended by Mining 4.0. The present study endeavors to scrutinize this transition from a business management point of view. In other words, a literature review is carried out to gain insight into the evolutionary trajectory of mining FMSs and the need for intelligent algorithms. …

Towards Algorithmic Justice: Human Centered Approaches To Artificial Intelligence Design To Support Fairness And Mitigate Bias In The Financial Services Sector, Jihyun Kim

CMC Senior Theses

Artificial Intelligence (AI) has positively transformed the Financial services sector but also introduced AI biases against protected groups, amplifying existing prejudices against marginalized communities. The financial decisions made by biased algorithms could cause life-changing ramifications in applications such as lending and credit scoring. Human Centered AI (HCAI) is an emerging concept where AI systems seek to augment, not replace human abilities while preserving human control to ensure transparency, equity and privacy. The evolving field of HCAI shares a common ground with and can be enhanced by the Human Centered Design principles in that they both put humans, the user, at …