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Articles 121 - 150 of 1307
Full-Text Articles in Engineering
Micro Heat Exchanger To Cool Cerebrospinal Fluid For Brain Injury Treatment, Sachin Dahiya
Micro Heat Exchanger To Cool Cerebrospinal Fluid For Brain Injury Treatment, Sachin Dahiya
LSU Master's Theses
Hypothermia is accepted as a method to preserve cells and tissue. Clinical evidence shows that administration of hypothermia could lead to neuroprotection after cardiac arrest. Non-invasive methods such as surface cooling devices, drugs and cold liquid ventilation are available to induce hypothermia. These approaches for achieving hypothermia have not been optimized yet. The surface cooling methods are generally slow and may lead to additional thermal shock to the body. Here, we propose a rapid, selective cooling method for the brain using a micro heat exchanger to cool the cerebrospinal fluids (CSF). We designed and 3D printed a U-type heat exchanger …
Exploring Toluene Biosynthesis In Microbial Consortia Derived From Sediments And Superfund Site Groundwater, Raymond J. Poche
Exploring Toluene Biosynthesis In Microbial Consortia Derived From Sediments And Superfund Site Groundwater, Raymond J. Poche
LSU Master's Theses
While the aromatic hydrocarbon toluene is widely regarded as a contaminant associated with discharges of crude oil and refined petroleum products (e.g., gasoline), the enzyme phenylacetate decarboxylase catalyzes the decarboxylation of phenylacetate to yield toluene. Research described in this thesis further investigated toluene biosynthesis by a microbial consortium originating from chlorinated solvent-contaminated groundwater near Baton Rouge, Louisiana. In anoxic growth media supplemented with phenylacetate as a precursor, toluene accumulation was found to be maximal at near-neutral to slightly acidic pHs (toluene accumulation greater than 1 mg/L at pH in the range of 5.6 to 7.6, but was not observed for …
Integration Of Solar + Storage Installation Upstream In Modular Construction, Ondrej Labik
Integration Of Solar + Storage Installation Upstream In Modular Construction, Ondrej Labik
LSU Master's Theses
High initial costs, mainly due to inefficient construction processes, remains the greatest barrier for residential adoption of solar+storage (SPS) system. Modular construction, having a factory-controlled environment and control over the home design, is well suited to address these issues (e.g., efficiencies, waste, inventory control, quality). Furthermore, these areas have great potential in modular construction to address the high initial cost issue. This study focuses on the integration of SPS installation upstream in modular housing. Although moving the SPS installation process into the factory has many barriers (e.g., including change of scope of work at some workstations without affecting the whole …
Zein And Lignin-Graft-Plga Nanoparticles As Agrochemical Delivery Systems To Soybean Plants, Eban A. Hanna
Zein And Lignin-Graft-Plga Nanoparticles As Agrochemical Delivery Systems To Soybean Plants, Eban A. Hanna
LSU Master's Theses
The majority of applied agrochemicals are lost to the environment due to their poor adhesion to plant tissues, resulting in multiple applications and subsequent environmental toxicity. This thesis focuses on reducing these consequences by entrapping agrochemicals in polymeric nanoparticles (PNPs). In the first section, zein nanoparticles (ZNPs) with entrapped methoxyfenozide (MFZ) (209.0 ± 5.6 nm, -42.1 ± 2.1 mV) were synthesized and used to facilitate the translocation of MFZ to the leaves and stems of soybean plants, as measured by LC-MS, under hydroponic conditions. The agrochemical concentration increased within the leaves over time from 0.04 to 2.35 μg/g at 0.2 …
Effect Of Automation Level On Cognitive Workload When Collaborating With A Robotic Assistant, Mitchell A. Champagne
Effect Of Automation Level On Cognitive Workload When Collaborating With A Robotic Assistant, Mitchell A. Champagne
LSU Master's Theses
Manufacturing robotics have been used for decades to perform repetitive tasks, or tasks that require increased levels of speed, strength, or precision to meet production and specification requirements. Determining the appropriate degree of automation for both the human and robot collaborative team members is critical to optimize production as well as user experience. If the degree of automation is too high, the human will be out of the loop which can result in the loss of situational awareness and be detrimental to intervention time and accuracy. If the degree of automation is too low, then the human may experience greater …
Machine Learning-Based Bridge Load Posting Prediction, Sai Naga Sasi Aditya Bandaru
Machine Learning-Based Bridge Load Posting Prediction, Sai Naga Sasi Aditya Bandaru
LSU Master's Theses
1600 (12%) of Louisiana's 13,000 bridges that allow the passage of people, goods, and services are load posted, meaning they are deemed incapable of securely carrying all legal loads. A machine learning framework for estimating the number of load-posted bridges within a regional bridge portfolio would be extremely valuable in the future for allocating essential resources during long-term planning. A framework of this type is necessary since a significant proportion of the bridges are load posted. Furthermore, deterioration due to aging and future increases in legal loads can compound this situation. In this setting, there is a lack of data-driven …
Machine Learning-Based Bridge Load Posting Prediction, Sai Naga Sasi Aditya Bandaru
Machine Learning-Based Bridge Load Posting Prediction, Sai Naga Sasi Aditya Bandaru
LSU Master's Theses
1600 (12%) of Louisiana's 13,000 bridges that allow the passage of people, goods, and services are load posted, meaning they are deemed incapable of securely carrying all legal loads. A machine learning framework for estimating the number of load-posted bridges within a regional bridge portfolio would be extremely valuable in the future for allocating essential resources during long-term planning. A framework of this type is necessary since a significant proportion of the bridges are load posted. Furthermore, deterioration due to aging and future increases in legal loads can compound this situation. In this setting, there is a lack of data-driven …
Optimizing The Self-Healing Efficiency Of Hydrogel Encapsulated Bacteria In Concrete, Ricardo Hungria
Optimizing The Self-Healing Efficiency Of Hydrogel Encapsulated Bacteria In Concrete, Ricardo Hungria
LSU Master's Theses
Calcium carbonate precipitation through microbial means is a promising pathway for concrete self-healing technologies, mainly for its microcrack sealing attributes. The main goal of this project was to study and optimize the crack healing efficiency of hydrogel encapsulated bacteria in concrete. To achieve this purpose, Bacillus pseudiformus was implemented as the bacteria strain at a concentration of 108 cells/ml. This bacterium strain along with yeast extract was combined along with three different mineral precursors corresponding to magnesium acetate, calcium lactate, and sodium lactate. All these three precursors were evaluated at two concentrations (67.76 mM/l and 75 mM/l). For each …
Distributed Control And Learning Of Connected And Autonomous Vehicles Approaching And Departing Signalized Intersections, Joshua Onyeka Ogbebor
Distributed Control And Learning Of Connected And Autonomous Vehicles Approaching And Departing Signalized Intersections, Joshua Onyeka Ogbebor
LSU Master's Theses
This thesis outlines methods for achieving energy-optimal control policies for autonomous vehicles approaching and departing a signalized traffic intersection. Connected and autonomous vehicle technology has gained wide interest from both research institutions and government agencies because it offers immense promise in advancing efficient energy usage and abating hazards that beset the current transportation system. Energy minimization is itself crucial in reducing the greenhouse emissions from fossil-fuel-powered vehicles and extending the battery life of electric vehicles which are presently the major alternative to fossil-fuel-powered vehicles. Two major forms of fuel minimization are studied. First, the eco-driving problem is solved for a …
Model-Guided Design Of Rna-Based Synthetic Circuits For The Dynamic Regulation Of Gene Expression, Jordan R. Ryan
Model-Guided Design Of Rna-Based Synthetic Circuits For The Dynamic Regulation Of Gene Expression, Jordan R. Ryan
LSU Master's Theses
A longstanding goal in synthetic biology has been to build synthetic gene circuits with the ability to harness nature’s capability of precise gene expression regulation. Advancements in RNA technology have established RNA-based regulators with distinct advantages over traditional protein-based regulators such as faster signal propagation, versatile programmability, and low cellular burden, which has created an interest in the field to construct innovative synthetic gene circuits using de novo RNA- based regulators. However, our understanding of the behavior and kinetics of RNA-RNA interactions for the construction of gene circuits is incomplete. This thesis proposes a model-guided design framework that integrates mechanistic …
Image And Video Segmentation Of Appearance-Volatile Objects, Yongqing Liang
Image And Video Segmentation Of Appearance-Volatile Objects, Yongqing Liang
LSU Master's Theses
Segmentation is a process of partitioning a digital image or frame into multiple regions or objects. The goal of segmentation is to identify and locate the objects of interest with their boundaries. Recent segmentation approaches often follow such a pipeline: they first train the model on a collected dataset and then evaluate the trained model on a given image or video. They assume that the appearance of object is consistent in training and testing sets. However, the appearance of object may change in different photography conditions. How to effectively segment the objects with volatile appearance remains under-explored. In this work, …
The Application Of Physics Informed Neural Networks To Compositional Modeling, Thelma A. Ihunde
The Application Of Physics Informed Neural Networks To Compositional Modeling, Thelma A. Ihunde
LSU Master's Theses
Compositional modeling is essential when simulating processes involving significant changes in reservoir fluid composition. It is computationally expensive because we typically need to predict the states and properties of multicomponent fluid mixtures at several different points in space and time. To speed up this process, several researchers have used machine learning algorithms to train deep learning (DL) models on data from the rigorous phase-equilibrium (flash) calculations. However, one shortcoming of the DL models is that there is no explicit consideration for the governing physics. So, there is no guarantee that the model predictions will honor the thermodynamical constraints of phase …
Development Of Cost-Effective High-Modulus Asphalt Concrete (Hmac) Mixtures Using Crumb Rubber And Local Construction Materials In Louisiana., Ibrahim A.I.E Elnaml
Development Of Cost-Effective High-Modulus Asphalt Concrete (Hmac) Mixtures Using Crumb Rubber And Local Construction Materials In Louisiana., Ibrahim A.I.E Elnaml
LSU Master's Theses
One of the emerging solutions to enhance the durability of asphalt pavements is the use of a French asphalt mix known as “High-Modulus Asphalt Concrete (HMAC).” This mix uses a hard asphalt binder, high binder content (about 6%), and low air voids content as compared to Superpave mixtures. The key objective of this study was to develop a cost-effective HMAC mixture using crumb rubber and local materials in Louisiana. To achieve this objective, four HMAC mixtures were prepared using two asphalt binders (PG 82-22 and PG 76-22 plus 10% crumb rubber) and two Reclaimed Asphalt Pavement (RAP) contents (20% and …
Examining Optimal Truck Platoon Configurations To Maximize Its Operational, Safety, And Environmental Performance, Md Adilur Rahim
Examining Optimal Truck Platoon Configurations To Maximize Its Operational, Safety, And Environmental Performance, Md Adilur Rahim
LSU Master's Theses
Efficient movement of freight is a critical component of the US economy and especially important to the southcentral region where several large freight distribution hubs are located. However, several challenges affect freight movement efficiency, including high fuel and labor costs, vehicular emissions, and traffic safety problems. Truck platooning is a promising application of connected and automated vehicle (CAV) technology that has great potential in addressing current challenges in freight movement in the USA and elsewhere. Few prior studies have examined the potential environmental and traffic operational impacts of truck platooning on freeways. In particular, little is known regarding its impacts …
Heteroaggregation Of Lignin-Zein Nanoparticles: Effects Of Relative Size And Concentration, Yada Chulakham
Heteroaggregation Of Lignin-Zein Nanoparticles: Effects Of Relative Size And Concentration, Yada Chulakham
LSU Master's Theses
Nanotechnology has become an advanced tool for manufacturing materials of the future. As the size of a material is reduced to a nanoscale, its surface area to volume ratio increases drastically, and its surface property becomes size dependent. This allows scientists to make use of unique properties that nanomaterials have to offer to create novel materials that otherwise could not have been achieved in meter-scale materials. As more industrial companies have planned to incorporate different types of nanomaterials into their products, it is undeniable that some of these nanomaterials will be released to the environment. Such possibility has led to …
Application Of Gravity Data For Hydrocarbon Exploration Using Machine Learning Assisted Workflow, Oluwafemi Temidayo Alaofin
Application Of Gravity Data For Hydrocarbon Exploration Using Machine Learning Assisted Workflow, Oluwafemi Temidayo Alaofin
LSU Master's Theses
Gravity survey has played an essential role in many geoscience fields ever since it was conducted, especially as an early screening tool for subsurface hydrocarbon exploration. With continued improvement in data processing techniques and gravity survey accuracy, in-depth gravity anomaly studies, such as characterization of Bouguer and isostatic residual anomalies, have the potential to delineate prolific regional structures and hydrocarbon basins. In this study, we focus on developing a cost-effective, quick, and computationally efficient screening tool for hydrocarbon exploration using gravity data employing machine learning techniques. Since land-based gravity surveys are often expensive and difficult to obtain in remote places, …
Growth, Characterization, And Mechanical Testing Of Diamond-Like Carbon Films, Tailei Qi
Growth, Characterization, And Mechanical Testing Of Diamond-Like Carbon Films, Tailei Qi
LSU Master's Theses
The high residual stresses within diamond-like carbon (DLC) films limit its thickness and make the film tend to delaminate from the substrate and be defective on the surface. To address this problem, a new plasma enhanced chemical vapor deposition system (PECVD) was set up to investigate the effects of different film growth parameters on the DLC films, such as chromium doping, gas fluxes, depositing pressures, bias voltages, and depositing times. After the film growth parameters were optimized, this condition was transferred from silicon wafer to SS316 steel plate to deposition of DLC films with some adjustments. Scanning electron microscopy (SEM) …
Cfd Simulations Of Macroscopic And Microscopic Multiphase Fluid Flow And Droplet Interaction, Aaron Harrington
Cfd Simulations Of Macroscopic And Microscopic Multiphase Fluid Flow And Droplet Interaction, Aaron Harrington
LSU Master's Theses
Multiphase flow is a complex phenomenon which can be modeled on numerous different length scales, both macroscopically and microscopically. The use of a Euler-Euler model for Computation Fluid Dynamics (CFD) simulations of subcooled boiling phenomena is discussed in detail. The CFD conditions have been set up to mimic previous experimental conditions. A cylindrical vessel with subcooled liquid flow is heated along part of the axial wall of the vessel. A constant heat flux is applied to produce subcooled boiling. We discuss the development of the phase change within the vessel as well as the temperature profile, and validate the results …
Investigation Of Sand-Biochar Mixtures As A Potential Roadway Fill Material, Katia J. Lele Lagmago
Investigation Of Sand-Biochar Mixtures As A Potential Roadway Fill Material, Katia J. Lele Lagmago
LSU Master's Theses
Biochar is a sustainable and lightweight carbon-rich material with a high surface area and porosity. Previous studies reported that biochar can reduce soil erosion and cracking, retain contaminants, and enhance soil aggregation. Given these favorable properties, soil-biochar mixtures have the possibility to serve as a multifunctional lightweight fill material for roadway embankment applications. The purpose of this research is to develop sand-biochar mixtures as a sustainable and multifunctional lightweight fill material for roadway embankment applications.
This research investigated the consolidation and hydraulic properties of sand-biochar mixtures by (1) performing 1D consolidation tests, (2) performing permeability tests, and (3) assessing the …
A Modular Open-Technology Device To Measure And Adjust Concentration Of Sperm Samples For Cryopreservation, Nikolas C. Zuchowicz
A Modular Open-Technology Device To Measure And Adjust Concentration Of Sperm Samples For Cryopreservation, Nikolas C. Zuchowicz
LSU Master's Theses
Repositories for aquatic germplasm can safeguard the genetic diversity of species of interest to aquaculture, research, and conservation. The development of such repositories is impeded by a lack of standardization both within laboratories and across the research community. Protocols for cryopreservation are often developed ad hoc and without close attention to variables, such as sperm concentration, that strongly affect the success and consistency of cryopreservation. The wide dissemination and use of specialized tools and devices can improve processing reliability, provide data logging, produce custom hardware to address unique problems, and save costs, time, and labor. The goal of the present …
A Conceptual Framework For Phase-Dependent, Composite Flood Risk Index (Fri) Curves Based On The Relationship Between Temporal Probability Of Flood Occurring (Ph) And Flood Vulnerability Index (Fvi) Along With Maps Of Fvi Within The Amite River Basin Based On The August 2016 Flood., Austin S. Guerin Mr.
LSU Master's Theses
Efforts directed at determining community vulnerability to flooding are limited and only include economic (dollar damages) and public safety impacts and do not consider the phase dependency of the system, i.e., pre-, during- and post-storm, both critical shortcomings for more broadly assessing community risk and developing comprehensive plans and mitigation strategies. This thesis first develops a framework based on a Flood-Vulnerability Index (FVI) approach and then demonstrates its usefulness, at the census tract level of detail, for three parishes in the Greater Baton Rouge, LA area, based on the August 2016 flood. FVI’s indicators are multidimensional and phase dependent: “Pre-Flood” …
Towards Verifying Smartphone Users Via Gripping Hand Image Classification, Kaitlyn M. Madden
Towards Verifying Smartphone Users Via Gripping Hand Image Classification, Kaitlyn M. Madden
LSU Master's Theses
Smartphones continue to proliferate throughout our daily lives, not only in sheer quantity but also their ever-growing list of uses. They are no longer just for communication and the occasional phone game. Smartphones can be used to open garage doors, transfer money, see who is at your front door, and much, much more. With this increased dependence and use, smartphone security is critical. In this paper we propose a system to verify a user’s identity by applying a convolutional neural network (CNN) model to an image of the user’s hand while holding their device. This model aims to address situations …
Degumming Of Hemp Fibers Using Combined Microwave Energy And Deep Eutectic Solvent, Bulbul Ahmed
Degumming Of Hemp Fibers Using Combined Microwave Energy And Deep Eutectic Solvent, Bulbul Ahmed
LSU Master's Theses
Hemp is considered as one of the sustainable agricultural fiber materials. Degumming or surface modification of hemp bast is needed to produce single fibers for ensuing textile and industrial applications. The traditional degumming process necessitates a high amount of alkali, which causes detrimental environmental pollution. This study offers a new method to degum hemp fibers with reduced use of harmful alkali and precious water resources. In this work, hemp bast fibers were degummed by using combined microwave energy and deep eutectic solvent (DES). The properties of hemp fibers manufactured by this method were investigated and compared with the traditional alkali …
Evaluation Of Cell Concentration And Viability By Impedance Spectroscopy On Microfluidic Devices, Jason Eades
Evaluation Of Cell Concentration And Viability By Impedance Spectroscopy On Microfluidic Devices, Jason Eades
LSU Master's Theses
This document describes two distinct platforms that implement electrochemical impedance spectroscopy (EIS) within microfluidic devices for rapid, label-free cell analysis. Each study provides proof-of-concept evaluations of these devices for cell counting and viability analysis applications to mitigate some of the challenges associated with conventional methods. Chapter one includes background information on each version of EIS selected and motivations for the studies conducted. Chapter two describes the design and fabrication of a modular, reusable microfluidic device. Additionally, the methodology for and results from the application of this platform for the measurement of zebrafish sperm cell concentrations are presented. Chapter three describes …
Gas Evolution Phenomenon Of Methane In Base Fluids Of Non-Aqueous Drilling Muds Under Controlled Depressurization, Damilola Ojedeji
Gas Evolution Phenomenon Of Methane In Base Fluids Of Non-Aqueous Drilling Muds Under Controlled Depressurization, Damilola Ojedeji
LSU Master's Theses
As wells become more complex and drilling conditions to reach targets prove even more challenging, being able to detect influx event early and safely handle these influxes has become one of the most important focus areas for improvement in well control safety. The high solubility of formation gas in non-aqueous drilling fluids however makes kick detection and safe handling of kicks more complicated. Recent studies are beginning to incorporate desorption kinetics in well control models to simulate the transient multiphase flow phenomenon associated with gas kicks in non-aqueous drilling fluids to foster safe handling of kicks. However, there is currently …
A Study Of Methane-Liquid Absorption Characteristics For Gas Influx Management, Scott A. Perry
A Study Of Methane-Liquid Absorption Characteristics For Gas Influx Management, Scott A. Perry
LSU Master's Theses
The study of absorption mass transfer kinetics in non-aqueous base fluids and the investigation of the parameters that influence this process is crucial in the application to gas influx management. While there have been a large number of studies investigating the interaction and solubility of methane in non-aqueous drilling fluids, relatively little attention has been placed on studying the mass transfer kinetics for different scenarios within the wellbore and riser. During the drilling process, there are multiple ways in which the formation gas can come into contact with the drilling fluid via a gas kick. Once the gas influx dissolves …
Evaluating Word Embedding Models For Traceability, Mahfuza Khatun, Mahfuza Khatun
Evaluating Word Embedding Models For Traceability, Mahfuza Khatun, Mahfuza Khatun
LSU Master's Theses
ABSTRACT
Traceability link recovery (TLR) is a software engineering activity that helps to ensure software quality and assists with keeping track of changes by establishing links between software artifacts that are a part of the software engineering process, such as requirements, use cases, source code, test cases, and documentation. Software requirement artifacts are typically written in natural language. An Information Retrieval process is frequently used in many software activities, including the TLR activity. Recently, Word Embedding (WE) techniques have been used in many natural language processing tasks as well as in TLR tasks. We investigate the effectiveness of WE techniques …
Finite Element Numerical Modeling And Parametric Study Of Geosynthetic Reinforced Pile-Supported Embankments, Abdallah Ikbarieh
Finite Element Numerical Modeling And Parametric Study Of Geosynthetic Reinforced Pile-Supported Embankments, Abdallah Ikbarieh
LSU Master's Theses
This study directed at investigating the performance of the pile-supported embankment system utilizing a geosynthetic reinforced load transfer platform (GRLTP) using Finite Element numerical modeling. A 2D Finite Element Modeling (FEM) methodology was first developed using PLAXIS 2D 2021 computer software and verified by well-documented case studies in the literature of this system. Second, a performance prediction was made for a field case study of the Amite River Project near French Settlement, which is located along Route LA 16 Livingston Parish in Louisiana State. A comprehensive FEM parametric study was then carried out to evaluate the performance of the system …
Optimization Of Mechanical Properties At The Infarct Border Zone, Kaushik Sunder
Optimization Of Mechanical Properties At The Infarct Border Zone, Kaushik Sunder
LSU Master's Theses
A myocardial infarction (MI) occurs every 39 seconds in the United States. As of 2016, an estimated 550,000 new and 200,000 recurrent episodes of myocardial infarction (MI) occur each year in the United States was. Infarction is often distinguished by a considerable decrease in wall thickness and an increase in heart size or left ventricular volume. This behavior happens when there is a prolonged lack of blood flow, usually due to damage or clotting, which causes cardiomyocytes to die (CMs). The development of non-contractile infarct scarring is the primary pathophysiology of MI. While the infarct scar prevents myocardial rupture during …
Assessment Of Long-Term Performance Of Pavements Containing Warm Mix Asphalt Technologies In Louisiana, Kwadwo Ampadu Boateng
Assessment Of Long-Term Performance Of Pavements Containing Warm Mix Asphalt Technologies In Louisiana, Kwadwo Ampadu Boateng
LSU Master's Theses
This study focused on the assessment of long-term performance of asphalt pavements containing warm mix asphalt technologies in Louisiana. A total of five rehabilitation projects were studied in the state of Louisiana. The study consisted of engineering desk analyses of field performance indicators, indices and the initial laboratory performance indicators measured for five rehabilitation projects.
The engineering desk study consisted of a review of literature from previous WMA technology projects done in Louisiana. Additionally, data was acquired and validated from the Louisiana Pavement Management System (PMS). Pavement performance indicators (i.e., cracking (transverse, longitudinal, and fatigue cracking), roughness, rutting, and pavement …