Engineering Commons^™

Book Review: Credible: The Power Of Expert Leaders, Carl L. Tolbert

The Journal of Values-Based Leadership

Amanda Goodall’s (2023) book Credible: The Power of Expert Leaders argues why expert leaders are needed more now than ever across all organizational domains. Goodall describes the book as a chronicle of the “natural experiment” showcasing failures of nonexperts leading various sized groups and organizations, also citing parallel success by expert leaders (p. 1). The book is divided into eight chapters, starting with the introduction and examining the need for experts, the recruitment and development of experts, and finally, the organizational environment to sustain experts. The introduction begins as a corollary to Nichols’ (2024) work regarding how society no longer …

Vacuum Assisted Resin Transfer Method, Henry Allen

2024 Symposium

The vacuum assisted resin transfer method (VARTM) is a process used to make composite materials. This process is done using a mold or plate as a base and then building up the rest of the set up from there. On the base is the vacuum seal tape, spiral or percolated tubing, a connector for the tubing, the fiber plies in the center, separation layer, vacuum mesh, and the vacuum bag layer. This setup is then connected to the resin container. The other end is connected to a catch pot and vacuum pump. The purpose of the VARTM guided study was …

Adaptive Screen Capture Video Analysis, Ugesh Egala

Electrical and Computer Engineering ETDs

This thesis presents a system for analyzing student activities during class sessions to gain insights into the learning process. A dataset consisting of 14 screen recordings, with 2 videos labeled across two stages, was used for training, validation, and testing. The methodology employs adaptive sampling, initially at 10 frames per minute to identify active regions, followed by detailed analysis at 1 frame per second using OCR to detect typing activities through character changes. The results demonstrate over a 50% reduction in computational load while maintaining high accuracy in detecting student engagement. A total of 26 hours of screen capture videos …

Bio-Inspired Robotic Framework For Spatiotemporal Analyses In Environmental Monitoring Applications, Maliha Kabir

Electrical Engineering Theses

Frequent fluctuations in the environment's temperature and climate significantly impact our crop fields. Floods and droughts occur in different places in different seasons, which is very unusual and affects the crops' health and productivity. During these calamities, they are also not able to monitor their crop fields. However, if it is possible by providing farmers with information about their fields' conditions like temperature, pressure, and soil moisture, we can help them assess environmental conditions for specific areas. This data can also aid farmers in determining the appropriate amounts of fertilizers and pesticides to apply to their crops and which crops …

Development And Operationalizing Of The Learning Experience Design Process To Create Integrated Stem Interventions, Vanessa Begat

LSU Doctoral Dissertations

Globally, the demand for people prepared to enter Science, Technology, Engineering and Math (STEM) careers is increasing. To help fill this demand, many formal and informal STEM educational interventions have been implemented in the K-12 domain. However, due to the lack of a clearly defined framework for documenting the nature and scope of the intervention (National Research Council, 2014), the interventions vary greatly in their success, sustainability, and replicability. This research is grounded in Educational Design Research and uses the principle of Learning Experience Design (LXD) to develop a framework for thoughtfully designing and documenting a STEM intervention. This framework …

Geospatial And How It's Used By Casfer, Eduardo A. Castillo, Olatunde D. Akanbi, Vibha S. Mandayam, Erika I. Barcelos, Roger H. French

Student Scholarship

Project CASFER has a goal to develop the next generation of decarbonized nitrogen based fertilizer. They want to do this by

• Capturing nitrogen from waste, recycling the nitrogen, then producing and distributing CASFER fertilizers to farmers. 

CASFER is made up of 5 different universities that all work together to make up CASFER, Texas Tech University, Case Western University, FAMU, Georgia tech, and MIT.

Geospatial Analysis Of Hydrologic Nitrogen In Ohio Using Terrain Ruggedness Index (Tri) And Terrain Position Index (Tpi), Shreyas N. Rajagopalan, Olatunde D. Akanbi, Vibha S. Mandayam, Erika I. Barcelos, Roger H. French

Student Scholarship

Hydrologic nitrogen in ecosystems can significantly impact water quality. Excessive nitrogen, often originating from agricultural runoff, wastewater discharge, and industrial activities, can lead to eutrophication – the over-enrichment of water bodies with nutrients, resulting in excessive algal growth and depleted oxygen levels. This study aims to use geospatial analytics to identify areas in Ohio that are more susceptible to high nitrogen levels due to their topographic characteristics.

Terrain Ruggedness Index (TRI) and Terrain Position Index (TPI) are two key metrics derived from Digital Elevation Models (DEMs) that can help characterize the landscape. TRI measures the variability in elevation of adjacent …

Fairification Of Geospatial Data, Attiksh Ansool Panda, Olatunde D. Akanbi, Vibha S. Mandayam, Erika I. Barcelos, Roger H. French

Student Scholarship

FAIRification (Findability, Accessibility, Interoperability, and Reusability) of geospatial and temporal data from the United States Geological Survey (USGS) is crucial for the continuance of the National Science Foundation (NSF) Engineering Research Center for Advancing Sustainable and Distributed Fertilizer Production (CASFER) whose aim is to aid in the development of eco-friendly fertilizers. The USGS data contains key information about water quality and contaminants, which are important metrics for our geospatial project since our work aims to track the contaminants' flow and work towards their reduction and subsequent elimination. FAIR principles refer to - Findability, Accessibility, Interoperability, and Reusability. This is important …

The Growth Of Ethanol In Brazil: Sugarcane, Corn, And A Few Other Things, Fabio Mattos

Cornhusker Economics

Although we can expect more ethanol produced from corn in the coming years, it is unclear whether it will keep expanding at the same pace as in recent years or how much it will contribute to total ethanol production.

One point to keep an eye on is the typical dynamics of markets. If supply and demand conditions and price movements make corn-ethanol more profitable, ethanol plants in Brazil will keep increasing their production. If it makes more economic sense to produce corn-ethanol (as it happened recently), they will use more corn to produce ethanol.

Supply and demand conditions for ethanol, …

On The Surface Topography Of Local Overheating And Plasma Formation Due To Initial Condition Perturbations Sourcing The Electrothermal Instability On High-Current-Density Conductors, Maren Whiting Hatch

Electrical and Computer Engineering ETDs

The electrothermal instability (ETI) is a Joule heating-driven instability that instigates runaway heating on conductors driven to high current density, altering the 3D evolution of the expansion and phase state. Most metals include complex distributions of imperfections (voids, resistive inclusions) which seed ETI. To simplify comparison with modeling and theory, experiments examined growth of ETI from various alloys of stainless steel as well as relatively void/inclusion free, 99.999% pure, diamond-turned, 1 mm-diameter aluminum rods. Aluminum surfaces included a variety of deliberately machined and well-characterized perturbations, including 10-micron-scale quasi-hemispherical voids, or “engineered” defects (ED), and sinusoidal patterns of varying wavelength and …

Experimentally Verified Effective Doping Model For Lactate And Troponin Ofet Biosensors Using Machine Learning Algorithm, Sameh O. Abdellatif, Hana Masalam, Salma Ahmed

Electrical Engineering

No abstract provided.

Experimental Validation Of An Analytical Transient Model For Saturated Boosting Gain In Dc–Dc Converters With Variable Duty Cycle, Goliana Samir, Simon Ezzat, Wagdy Anis, Sameh O. Abdellatif

Electrical Engineering

No abstract provided.

Low-Power Dc-Dc Converters For Smart And Environmentally-Friendly Electric Vehicles: Design, Simulation, And Fabrication On A Glass Substrate, Michelle Makar, Sameh O. Abdellatif

Electrical Engineering

No abstract provided.

From Cnns To Transformers In Multimodal Human Action Recognition: A Survey, Muhammad Bilal Shaikh, Douglas Chai, Syed Muhammad Shamsul Islam, Naveed Akhtar

Research outputs 2022 to 2026

Due to its widespread applications, human action recognition is one of the most widely studied research problems in Computer Vision. Recent studies have shown that addressing it using multimodal data leads to superior performance as compared to relying on a single data modality. During the adoption of deep learning for visual modelling in the past decade, action recognition approaches have mainly relied on Convolutional Neural Networks (CNNs). However, the recent rise of Transformers in visual modelling is now also causing a paradigm shift for the action recognition task. This survey captures this transition while focusing on Multimodal Human Action Recognition …

Early Detection Of Pipeline Natural Gas Leakage From Hyperspectral Imaging By Vegetation Indicators And Deep Neural Networks, Pengfei Ma, Tarutal Ghosh Mondal, Zhenhua Shi, Mohammad Hossein Afsharmovahed, Kevin Romans, Liujun Li, Ying Zhuo, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The timely detection of underground natural gas (NG) leaks in pipeline transmission systems presents a promising opportunity for reducing the potential greenhouse gas (GHG) emission. However, existing techniques face notable limitations for prompt detection. This study explores the utility of Vegetation Indicators (VIs) to reflect vegetation health deterioration, thereby representing leak-induced stress. Despite the acknowledged potential of VIs, their sensitivity and separability remain understudied. In this study, we employed ground vegetation as biosensors for detecting methane emissions from underground pipelines. Hyperspectral imaging from vegetation was collected weekly at both plant and leaf scales over two months to facilitate stress detection …

The Planning Strategy For Electric Vehicle Charging Stations In The Road Transportation Network Synchronized With The Distribution Network, Muthukannan S

Theses and Dissertations

Electric vehicles (EVs) are recognized as a potentially effective solution to the environmental crisis and fuel deficit that modern metropolises are currently experiencing. Meanwhile, the expansion of EVs and their haphazard charging would negatively affect the road transportation network (RTN) as well as the electric distribution network (EDN). The proper infrastructure for the electric vehicle charging station (EVCS) will enhance the effective utilization of energy of both the networks.

This research work proposes a two-phase planning strategy for deploying Electric Vehicle Charging Stations (EVCS), considering both static and dynamic factors. The strategy uses a hybrid PSO-DS algorithm which is a …

Assessing Team Performance And Cohesion Of Isolated Multicultural Teams Using Digital Escape Rooms, Susannah J. Aronson

LSU Doctoral Dissertations

History has shown that when multicultural teams are together for long periods of time, conflict can occur. When put in an isolated environment, these conflicts can become dangerous. This study looked at physically isolated multicultural teams through the lens of systems engineering and if a publicly available escape room video game could measure the team’s individual level team performance and cohesion. The author also evaluated the relationship between these success measures, cultural intelligence, and fusion collaboration. Results showed the escape room video game was a reliable and valid instrument to measure individual level team performance and cohesion. The validity correlation …

Article Comprising Bonded Substrate Comprising Nanocrystals And Method Of Making And Using Same, Michael D. Sherburne

AFIT Patents

The present invention relates to devices for measuring property changes via in-situ micro-viscometry and methods of using same. The aforementioned device is inexpensive and can be used to quickly and accurately measure numerous physical and chemical property changes, including but not limited to the rate of chemical cure, change in tack, and rate of mass loss, for example, rate of moisture, solvent and/or plasticizer change.

Assessing The Relative Sustainability Of Point-Of-Use Water Disinfection Technologies For Off-Grid Communities, Bright C. Elijah, Ali Ahmad, Yalin Li, Jaime Plazas-Tuttle, Lewis Stetson Rowles

Civil Engineering & Construction: Faculty Publications

Point-of-use (POU) water disinfection technologies can be adopted to provide access to safe drinking water by treating water at the household level; however, navigating various POU disinfection technologies can be difficult. While numerous conventional POU devices exist, emerging technologies using novel materials or advanced processes have been under development and claim to be of lower cost with higher treatment capacity. However, it is unclear if these claims are substantiated and how novel technologies compare to conventional ones in terms of cost and environmental impacts when providing the same service (i.e., achieving a necessary level of disinfection for safe drinking water). …

Characterizing And Manipulating Intra-Die Performance Variation Of Fpgas And Its Application In Security, Hayden C. Cook

Theses and Dissertations

Field Programmable Gate Arrays (FPGAs) are reconfigurable, high-performing devices that are often used in critical applications. However, like all semiconductors, FPGAs experience transistor aging that can lower performance and lead to device failures. Additionally, device aging also has several security implications. Therefore, understanding the aging mechanisms behind transistor aging is necessary to ensure the reliability of FPGAs. However, current aging studies either rely on simulation alone or are unable to isolate aging effects on specific elements within the FPGA. This dissertation uses the reconfigurability of FPGAs to develop novel aging techniques that allow for the targeted aging of specific areas …

Evtol Delivery Drone, Caleb Nass, Brennen Bazaldua, Matthew Mason, Dylan Cummings, Derek Ren

2024 Symposium

The creation of online food ordering and delivery is an invention that has introduced a completely new market with the potential for innovation. Traditional methods of delivery currently focus on individual delivery drivers. But this method depends on variables like traffic and road conditions and uses considerable amounts of fuel while incurring prohibitive costs to employers, which may be impractical for small businesses. To that end, our team’s project seeks to design and fabricate a 3D printed eVTOL delivery drone capable of vertical takeoff and landing along with transition to horizontal flight. We believe that our design will be lightweight, …

Welcome To Cheney App, Timothy Nelson, Nolan Posey, Tanner Stephenson, Daniel Palmer, Matthew Matriciano

2024 Symposium

Welcome to Cheney is a non-profit organization committed to fostering communication, connection, and action within the city of Cheney. Their primary purpose is to provide timely and accurate information to the residents of Cheney. Welcome to Cheney has tried utilizing other forms of social media such as Facebook and Instagram to share information, but their presence is being overshadowed amidst the noise on those platforms. Therefore, the intention of this project is to develop a mobile app with the sole purpose of being a reliable means of sharing important information with the residents of Cheney.

The information being shared on …

The Effects Of Using Artificial Intelligence Techniques In The Security Work System, Abdalla Alnaqbi

Journal of Police and Legal Sciences

The goal of the research is to shed light on the techniques of artificial intelligence in the work of experts and groups, and to achieve this goal by seeking to search for the concept of artificial intelligence, as well as the classification of artificial intelligence, and clarifying the role of artificial intelligence in organizations and bodies, and it also reached the definition of the positive and cooperative effects of artificial intelligence in... the job. And the. The researcher followed the descriptive model of analysis in order to achieve the objectives of the study, and the study reached one of the …

Criminal Confrontation Of The Crime Committed Via An Automated Robot In Libyan And Emirati Law, . Mashaallah Alzwae

Journal of Police and Legal Sciences

Today's world is witnessing an important development in telecommunications, information technology and computers that has resulted in what are known as automated robots as one of the most important applications of artificial intelligence and has increased reliance on them in various areas of life for the importance of the services they provide to humanity. However, such robots may be used to commit an offence and the study therefore aims to determine the effectiveness of legal texts in the face of the offence from which they may occur. The study required an analytical and comparative approach by analysing and comparing the …

“The Role Of Modern Technologies In Effective Management Of Crowds”, Ayman El-Din

Journal of Police and Legal Sciences

Scientists started to think about the importance of developing crowd management methods, because of human gatherings - in different countries - have been accompanied by lots of disasters that have killed many and resulted in many injuries. Gathering crowd data is vital in the process of managing crowds, as crowd information contributes significantly to planning and decision-making processes and increasing communication between parties interacting with them, and data collected includes "the number of crowd members, crowd density, and problems that may occur”. Technology and technical awareness play an important role in “collecting, organizing, analyzing” real-time collected data of crowd. This …

Pulsed Secondary Electron Yield Measurements Of Metallic And Dielectric Materials Of Interest For High Power Vacuum Electron Devices, Bilal Ahmed Malik

Electrical and Computer Engineering ETDs

Secondary electron emission (SEE) from conductors is thought to play an important role in the initiation of Multipactor breakdown in vacuum electron devices. The SEE of dielectric materials plays a crucial role in numerous scientific and technological applications, including particle accelerators, spacecraft charging, and plasma diagnostics. Additionally, the SEE of an insulator may depend on its electrical stress history. In both cases, SEE strongly depends on any conditioning of the material surface. We present measurements on both conducting and insulating materials of interest in these applications. Measurements are being made in an existing test stand, recently modified to enable measurements …

Exploring Equity, Diversity, And Inclusion In Computer Science Undergraduate Curricula, Ouldooz Baghban Karimi, Giulia Toti, Fiona Mcneill, Alice Gao, Rutwa Engineer, Shanon Reckinger, Peggy Lindner, Jinyoung Hur, Rebecca Robinson, Anna Sollazzo, Richard Wicentowski

Engineering Management and Systems Engineering Faculty Research & Creative Works

One of the less explored approaches to foster equity, diversity, and inclusion (EDI) in Computer Science (CS) is through changes to the curriculum. Despite sporadic work on the adoption of Culturally Responsive Computing (CRC) and Universal Design for Learning (UDL), the inclusion of equity-minded courses, or modifications on specific elements of the curriculum such as introductory programming courses, there has never been a wide exploration or adoption of a successful equity-minded undergraduate CS curriculum. In this work, we explore undergraduate CS curricula, with a special focus on upper division, lower division, and service courses (courses offered to non-CS students). For …

Fundamental Limits In Measuring The Anisotropic Rotational Diffusion Of Single Molecules, Weiyan Zhou, Tingting Wu, Matthew D. Lew

Electrical & Systems Engineering Publications and Presentations

Many biophysical techniques, such as single-molecule fluorescence correlation spectroscopy, Förster resonance energy transfer, and fluorescence anisotropy, measure the translation and rotation of biomolecules to quantify molecular processes at the nanoscale. These methods often simplify data analysis by assuming isotropic rotational diffusion, e.g., that molecules wobble within a circular cone. This simplification ignores the anisotropy present in many biological contexts that may cause molecules to exhibit different degrees of diffusion in different directions. Here, we loosen this assumption and establish a theoretical framework for describing and measuring anisotropic rotational diffusion using fluorescence imaging. We show that anisotropic wobble is directly quantified …

Investigating The Fatigue Life Of Asymmetric And Novel Helical Gear Drives, Rajesh S

Theses and Dissertations

The present research work investigates the contact and bending fatigue life of asymmetric helical gear and novel helical gear based on the finite element analysis. In the first phase, the contact and bending fatigue life of the asymmetric helical gear drives is estimated based on the strain life approach.

Further, a parametric study is carried out to investigate the influence of important helical gear parameters such as module, pressure angle, helix angle, gear ratio, teeth number and face width on contact and bending fatigue life of asymmetric helical gear drives. It is noted that the asymmetric helical gear shows a …

Authenticated Diagnosing Of Covid-19 Using Deep Learning-Based Ct Image Encryption Approach, Mohamed Attia Abdelgwad, Amira Hassan Abed, Mahmoud Bahloul

Future Computing and Informatics Journal

Researchers are motivated to use artificial intelligence in biometrics, medical imaging encryption, as well as cybersecurity due to its rapid progress. An encryption method for CT scans—which are used to diagnose COVID-19 disease—is proposed in this study. The suggested encryption method creates a connection among an individual's face picture and CT image to increase confidentiality. The simple CT picture is first enhanced with a host image. An encryption key is multiplied by the final result. This key is produced by applying a Convolutional Neural Network (CNN) to recognize characteristics from people's face photographs. Additionally, a straightforward CNN with three convolutional …