Engineering Commons^™

Maximising Captured Power And Battery Management For Heaving Wave Energy, Omsalama Mubarak Mohamed

Thesis/ Dissertation Defenses

Sea waves are considered the most potent energy carriers among all sources of renewable energy. This research work is concerned with developing technologies to enhance performance and improve power capturing and conversion capabilities of a single heaving wave energy converter (WEC) actuated by a PMLG (Permanent Magnet Linear Generator). The objective of this dissertation is achieved by three techniques. The first one considers maximizing conversion between the mechanical and electrical powers. It is implemented by designing intrinsic resistance using a rapid procedure involving the mechanical and electrical models of the converter and considering its operating constraints. A robust PID (proportional …

Integrating Ai Into Uavs, Huong Quach

Cybersecurity Undergraduate Research Showcase

This research project explores the application of Deep Learning (DL) techniques, specifically Convolutional Neural Networks (CNNs), to develop a smoke detection algorithm for deployment on mobile platforms, such as drones and self-driving vehicles. The project focuses on enhancing the decision-making capabilities of these platforms in emergency response situations. The methodology involves three phases: algorithm development, algorithm implementation, and testing and optimization. The developed CNN model, based on ResNet50 architecture, is trained on a dataset of fire, smoke, and neutral images obtained from the web. The algorithm is implemented on the Jetson Nano platform to provide responsive support for first responders. …

Potential Security Vulnerabilities In Raspberry Pi Devices With Mitigation Strategies, Briana Tolleson

Cybersecurity Undergraduate Research Showcase

For this research project I used a Raspberry Pi device and conducted online research to investigate potential security vulnerabilities along with mitigation strategies. I configured the Raspberry Pi by using the proper peripherals such as an HDMI cord, a microUSB adapter that provided 5V and at least 700mA of current, a TV monitor, PiSwitch, SD Card, keyboard, and mouse. I installed the Rasbian operating system (OS). The process to install the Rasbian took about 10 minutes to boot starting at 21:08 on 10/27/2023 and ending at 21:18. 1,513 megabytes (MB) was written to the SD card running at (2.5 MB/sec). …

Knowing Just Enough To Be Dangerous: The Sociological Effects Of Censoring Public Ai, David Hopkins

Cybersecurity Undergraduate Research Showcase

This paper will present the capabilities and security concerns of public AI, also called generative AI, and look at the societal and sociological effects of implementing regulations of this technology.

Experimental Study Of Central And Side Jet With And Without Chevron Nozzle Exit On Gas Turbine Leading Edge Jet Impingement Cooling, Ahmad Yousef Alqasrawi

Thesis/ Dissertation Defenses

This thesis presents a comprehensive investigation into the application of jet impingement cooling on turbines blade leading edge. Gas turbines are extensively utilized in power generation and aerospace industries, where efficient cooling techniques are crucial to enhance the performance and lifespan of turbine blades. The leading edge of a turbine blade is particularly vulnerable to high-temperature exposure and thermal stresses, making it an essential area for effective cooling strategies. Jet impingement cooling is one of the most effective cooling techniques mostly used in the leading edge of rotating and stationary blades. This study aims to explore the performance of jet …

Understanding Collective Performance: Human Factors And Team Science, Joseph Keebler

Math Department Colloquium Series

This talk will focus on modern issues with team science. Joe will discuss a variety of projects he's been involved with aimed at improving teamwork in complex sociotechnical systems including military, aviation, and healthcare. He will discuss major theoretical facets of teamwork and provide evidence-based best practices that were utilized to improve teams in applied settings.

Thermo-Kinetic Parameters Governing Decomposition Of Amino Acids: A Computational Study, Mubarak Taleb Alkwradi

Thesis/ Dissertation Defenses

Amino acid model compounds are important nitrogenated species that in various categories of biomass. These compounds exhibit unique fragmentation pathways because of their adjacent amino and hydroxyl groups. Comprehending the decomposition chemistry of amino acids is essential to reduce harmful nitrogen emissions during biomass thermal treatment. This research reports the kinetic and thermodynamic properties of amino acids, and sulfur-containing amino acid, based on accurate density functional theory calculations coupled with kinetic modelling. The first part of the thesis provides comprehensive thermochemical parameters for the complete set of amino acids in the gas phase. The optimized geometries of amino acid compounds …

Heat Transfer Performance Of Single-Phase Circular Heat Sink With Micro Pin-Fin Structures, Mouza Abdulla Al Shamsi

Thesis/ Dissertation Defenses

This thesis presents a numerical study of laminar forced convection in a novel design of a microscale single phase water cooed circular heat sink with pin fins developed and analyzed to serve as a miniaturized cooling system. The developed heat sink in this study aims to achieve efficient heat dissipation from high electronics integration that generates high heat flux and non-uniform temperature distribution, which leads to the reduction of life and reliability of electronic devices. Numerical analysis of ten different configurations of the circular heat sink has been carried out for the heat flux of 1000 kW/m2 at range of …

Interaction In Games: Custom Driving Controller, Christian Crank

Symposium of Student Scholars

The problem I am trying to solve pertains to the high entry costs and the requirements to fully enjoy driving games. Driving games always sound like a fun experience, but without the right controller the game feels lackluster, uncomfortable, and not quite immersive. The problem is, if someone wants a gaming experience that makes the game feel natural and sensory, they may need to drop hundreds to thousands of dollars. Furthermore, they don’t even know if the expensive equipment will provide them with the experience they want. These expensive controllers are set up in a way to be universal and …

Interaction In Games: Digital Board Game Hybrid, Ryan Whisenhunt, Logan Haines

Symposium of Student Scholars

The realm of digital board game hybrids is a relatively new field, and a majority of games currently use computerization for casual board games or accentuating flavor. There is still plenty of room to use these ideas for more complex board games and means. In this study, we explore the avenues in which digital implementation of physical games can provide a streamlined and accessible gameplay experience. Participants in the study will be given a chance to play a short version of the game. A retrospective will be conducted after, where respondents are interviewed on how well the computer supported the …

Comparison Of Different Weighting Scales When Measuring Mental Workload, Isabella Duque

Symposium of Student Scholars

Mental workload, a concept within the field of human factors and ergonomics, refers to the cognitive and perceptual demands that individuals experience while performing various tasks in the workplace. Assessing mental workload holds a significant role in designing occupational tasks, as inappropriate levels can impact job performance, employee well-being, and even workplace safety. By assessing and optimizing mental workload, organizations can enhance productivity, reduce errors, and foster a healthier work environment. The NASA Task Load Index (NASA-TLX) and the Surgery Task Load Index (SURG-TLX) are two tools used to subjectively assess mental workload. Both tools offer unweighted and weighted mental …

Controlled Radiation Capsule For Precision And Rapid Cancer Treatment, Hoseon Lee, Zsolt Kollar, Bailey R. White, Junia Nguyen, David Roque, Sowjanya Palagani

Symposium of Student Scholars

This research aims to transform cancer treatment through the optimization of brachytherapy, with a focus on reducing treatment duration, setup complexities, and financial burdens, all while emphasizing patient safety. Patients living at a distance from radiation clinics, particularly those undergoing extended Low Dose Radiation brachytherapy, often struggle with the formidable financial challenges associated with securing nearby accommodations. In response to these issues, the research introduces a radiation capsule designed to condense the conventional six-month treatment period to approximately just one week, thereby significantly reducing the duration of required accommodations. This capsule is especially relevant considering the construction cost of $40 …

Blockchain And Ethereum Vulnerabilities, Daniel Chen

Symposium of Student Scholars

Blockchain and Ethereum (ETH) technology stands poised to revolutionize the digital world, offering unprecedented decentralization, transparency, and immutability of data across various industries; however, new technologies raise new security concerns. By overcoming key vulnerabilities in ETH, it allows a multitude of groundbreaking technologies such as Web3, Decentralized Finance (DeFi), Decentralized Apps (dApps), Non-Fungible Tokens (NFTs), and cryptocurrency wallets to become commonplace. This revolutionary crypto-dependent future of the internet relies on finding solutions to security vulnerabilities. We aim to pinpoint key security flaws and develop robust smart contract solutions within the Ethereum blockchain to enable the widespread adoption of Blockchain technology.

Kwad - Ksu All Weather Autonomous Drone, Nick Farinacci, Sebastian Gomez, Stewart Baker, Ed Sheridan

Symposium of Student Scholars

"KWAD" or "KSU all-Weather Autonomous Drone" project was sponsored by Ultool, LLC to the KSU Research and Service Foundation to create a lightweight drone capable of capturing HD video during all-weather operations. The conditions of all-weather operation include rainfall of one inch per hour and wind speeds of up to twenty miles per hour. In addition, a global minimum structural safety factor of two is required to ensure the system's integrity in extreme weather conditions. Potential mission profiles include autonomous aerial delivery, topological mapping in high moisture areas, security surveillance, search and rescue operations, emergency transportation of medical supplies, and …

Investigating Bim Applications In Reducing Co2 Emissions In The Built Environment, Rua Ahmed Maali

Thesis/ Dissertation Defenses

Large amounts of CO2 are released into the atmosphere throughout the life cycle of a building starting from the production of materials and products, in the construction phase of the building itself, in the site setting, the renovations, the later rehabilitation, and up to the final demolition. Hence, this thesis aims to investigate the potential of using Building Information Modeling (BIM) in making informed decisions that can help in reducing CO2 emissions in the life cycle of built environment projects. This study has used a mixed method approach that include literature review, a case study and semistructured interviews. The literature …

Development Of Unsaturated Polyester Resin Mortar Utilizing Industrial Wastes, Fatema Ahmed Alahmed

Thesis/ Dissertation Defenses

In recent years, polymer mortar (PM) has played a crucial role in the modern construction industry. It is gaining recognition as an effective and quick repair material in construction applications because it has several benefits over traditional Portland cement concrete. Various types of polymer binders, such as unsaturated polyester resin (UPR), have been used in these materials owing to their low cost, excellent strength, high workability, and rapid curing. This study investigates the feasibility of reutilizing locally available waste in the production of UPR-based polymer mortar, which facilitates the development of mortars with less environmental impact. In this study, the …

Design And Modelling Of Fem Based Mems Capacitive Accelerometer And Gyroscope For The Quadcopter/Uav Applications, Shaikha Rashid Alnaqbi

Thesis/ Dissertation Defenses

This study presents the design, simulation, and analysis of Micro Electromechanical Systems (MEMS) sensors, constituting the principal components of MEMS-based Inertial Measurement Units (IMUs). The main objective of the study is to design, simulate and analyze 3-axis capacitive accelerometer and 3-axis gyroscope. The MEMS-based capacitive accelerometers and gyroscope are analyzed using Ansys Workbench. Modal, Static Structural and harmonic analysis are used to obtain resonant frequencies, deformation/stress and profile of amplitude over a wide range of frequencies. Mechanical sensitivity analysis of the designed accelerometer and gyroscope is performed using the Finite Element Method (FEM). Analytical equations are developed to calculate mechanical …

Performance Of Recycled Concrete Aggregates Treated By Alginate-Immobilized Microbially Induced Calcite Precipitation, Mohammed H. Alzard

Thesis/ Dissertation Defenses

The rapid growth of the global population has significantly increased the demand on the construction sector, consequently generating substantial waste and straining natural resources. Recycling this waste to create recycled concrete aggregates (RCA) has emerged as a promising solution to mitigate these adverse impacts. However, RCA properties do not align with those of natural aggregates (NA), thereby affecting the performance of concrete. This research introduces an innovative treatment agent created with alginate immobilized microbially induced calcite precipitation (AIMICP) for use in enhancing the properties of locally supplied RCA to promote their adoption by the construction industry. To develop the treatment …

Analysis Of Sectoral Energy Demand In Pakistan, Raza Ali Khan, Mirza Faizan Ahmed, Jaweriya Naz

CBER Conference

The purpose of this research is to estimate the energy demand for different sectors including commercial, industrial, residential, transportation and agriculture. For this purpose, different factors affecting the demand for energy in each sector have been analyzed. The adopted methodology is Box Jenkins, which is a systematic approach of identification, estimation, diagnostic checks and forecasting of the model.

Food-Water-Energy Nexus In The Perspective Of Green Revolution, Green Energy, Legal And Institutional Framework: A Killian Based Adjusted Bootstrap Approach, Zia Ur Rahman

CBER Conference

Food and water energy is crucial for human well-being, sustainable development, and poverty reduction. The growing global demand driven by population growth, economic development, urbanization, changing diets, technological advancements, and climate change projections indicates a significant increase in the need for these resources. Understanding the intricate interdependencies between food, water, and energy is essential for effectively addressing these challenges and fostering a prosperous and sustainable future. Therefore, this study incorporated statistical data collected from the Pakistan Economic Survey and the World Governance Indicator from 1990 to 2022 to elucidate the complex connection between food, water, and energy.

Does Green Energy Really Matter For Environment And Economic Sustainability? Validating The Long-Standing Existing Empirics On Pakistan Economy, Syed Kafait Hussain Naqvi

CBER Conference

The empirical outcomes of the study validate the widespread concern of the literature on the existence of the “growth hypothesis” which supports, that there is a systematic positive causation running from green energy to economic sustainability. The study findings suggest that regulations in the energy sector can encourage the applications of green energy resources, particularly in the real sector of the economy, leading to reduced emissions.

The Effect Of Vortex Cooling And Injection Parameters On A Bipropellant 3d Printed Thermoplastic Thruster, Mousa A. Aqailan

Thesis/ Dissertation Defenses

This research reports an experimental investigation of the efficiency and cooling performance of a 10Nvortex cooled Propane/Gox bi-propellent thruster designed and tested with different fabrication materials including a thermoplastic combustion chamber, and metal faceplate and nozzle. The study proposes vortex as a possible solution for cooling thrusters made from partially 3D-printed thermoplastic. This enables the vortex injection method to be 3D printed in a single solid piece thruster to minimize the design complexity and reduce weight, production time, and cost compared to conventional cooling methods. Vortex cooling is simply made by changing the direction of propellant injection rather than using …

Demand Analysis Of Energy Mix In District Kotli Azad Jammu And Kashmir, Pakistan, Syed Kafait Hussain Naqvi

CBER Conference

This study is an effort to empirically analyze the household’s demand for energy mix (electricity, liquefied petroleum gas (LPG), kerosene, and firewood) in the District Kotli, AJK. The study estimates the demand elasticities (price and expenditure) by employing the Linear Approximate Almost Ideal Demand System (LA-AIDS) to 384 households sampled across District Kotli, AJK in 2017. The empirical estimations are carried out by using the Seemingly Unrelated Regression (SUR), keeping intact the adding-up, homogeneity and symmetry restrictions.

Selection Of Natural Surfactants For Possible Use In Improving Oil Recovery Of Carbonate Oil Reservoirs, Hiba Hachem Limam

Thesis/ Dissertation Defenses

Middle East petroleum industry is currently searching for the most suitable enhanced oil technique to improve the oil recovery from local oil reservoirs. The biggest challenge for the application of enhanced oil recovery (EOR) in the Middle East is the harsh environment (high salinity and temperature). Surfactant (synthetic or natural) is one of the enhanced oil recovery (EOR) major players considered for application in the Middle East. However, synthetic surfactants have several drawbacks, such as being economically unattractive and their high levels of toxicity. This study investigated the possible use of natural surfactant extracted from the leaves of three types …

Aerodynamic & Aeroacoustic Performance Of Wind Turbine Blades Featuring Enhanced, Md Zishan Akhter

Thesis/ Dissertation Defenses

Wind energy, being one of the cleanest and most sustainable sources, has undergone remarkable growth in recent years due to advancements in aerodynamics and increased power output. The research community is actively pursuing the development of cutting-edge solutions to further optimize wind turbine technology, ensuring its maximum efficiency and revolutionizing the landscape of wind power.
This research aims to design and develop flow-control devices for wind turbine blades, employing both active and passive control mechanisms, namely morphing trailing-edge and slot-profile, respectively. The objective is to enhance wind turbine performance across a wide range of wind speeds. The morphing trailing-edge mechanism …

A Consortium Of Microalgae And Wastewater Activated Sludge To Generate Biohydrogen, Muhammad Asad Javed

Thesis/ Dissertation Defenses

Hydrogen is a clean source and carbon-free source of energy that can be generated photobiologically using green microalgae with 122 kJ/g of energy output which is 2.75 times that of hydrocarbon-based fuels. However, challenges, such as presence of molecular oxygen (O2) within the cells, hinder their practical application. Molecular O2, emanating from the activity of photosynthesis, acts as a powerful and effective switch that turns off bioH2 production activity. The objective of this research is to develop an innovative approach to increase the yield and sustain bioH2 photoproduction. For this purpose, a consortium of microalgae and wastewater activated sludge (WWAS) …

Behavior Of Two-Span Continuous Gfrp-Reinforced Concrete Deep Beams, Mohamed Shokry Abouelsaoud

Thesis/ Dissertation Defenses

Steel-reinforced concrete deep beams are structural elements characterized by their large depth-tospan ratio. They play a crucial role in supporting heavy loads and transferring them to columns or walls in bridges, high-rise buildings, and marine structures. Corrosion is a major concern in steel-reinforced concrete structures, which can significantly reduce their lifespan and undermine their structural integrity. By replacing steel bars with fiber reinforced polymer (FRP) bars, the corrosion resistance of reinforced concrete (RC) structures can be improved and prolong their longevity. However, FRP bars behave elastically up to failure and have lower modulus of elasticity compared to steel, which affects …

Large Language Model Use Cases For Instruction, Plus A Primer On Prompt Engineering, Roy Haggerty, Justin Cochran

LSU Health New Orleans Symposium Series on Artificial Intelligence

AMA Credit Designation Statement: The Louisiana State University School of Medicine, New Orleans designates this live activity for a maximum of 1.0 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

NCPD Credit Designation Statement: Nursing participants may earn 1.0 NCPD contact hours. Each nursing participant must be present for the entire session for which NCPD contact hours are requested and must complete an evaluation of the session to receive credit.

Predictive Modelling Of Road Deterioration Using An Artificially Intelligent Bayesian Belief Networks Approach, Babitha Elizabeth Philip

Thesis/ Dissertation Defenses

The ability to predict road deterioration is the cornerstone for developing a reliable Pavement Management System (PMS) that optimizes pavement maintenance programs. Such prediction capacity becomes increasingly important, especially when highway agency funds are confined. This research focuses on the development of prediction models based on an artificial intelligence technique, Bayesian Belief Networks (BBN), that aid decision-makers in forecasting expected road distress curves on the lights of various (e.g., environmental, traffic, and road-specific) factors and maintenance decisions. The novelty of this research revolves around deploying BBNs which allow analysts to yield Markovian predictions of annual road deterioration based on incomplete …

Characterization And Structural Shear Behavior Of Recycled Aggregate Concrete Beams Reinforced With Basalt Fibers And Basalt Bars, Shahrukh Shoaib Ul Haq

Thesis/ Dissertation Defenses

Recycling construction waste material offers a sustainable solution to the problem of disposing of concrete construction and demolition waste. The use of basalt fibers (BF) and basalt fiber-reinforced polymer (BFRP) reinforcing bars in concrete structures made of recycled concrete aggregate (RCA) would prolong their service life and reduce the maintenance cost. This research aims to investigate the potential use of BF, RCA, and BFRP reinforcing bars to produce sustainable and steel-free structural concrete. The study consisted of material characterization testing, numerical simulation, and large-scale beam testing.
Material characterization tests were performed on normal-strength concrete (NSC) and high-strength concrete (HSC). The …