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Development And Evaluation Of A Retrofittable Variable Rate Applicator Controller, Ahmed Abdalla

Electronic Theses and Dissertations

The need to optimize resource utilization while increasing crop productivity is paramount. This research proposes a Low-cost Retrofittable Variable Rate Applicator Controller (VRAC) that aims to leverage the adoption of Variable Rate Technologies. The controller operates via the Raspberry Pi platform, a Global Positioning System (GPS), a stepper motor drive, and an anti-slip wheel encoder. The VRAC allows precise, on-the-fly control of variable-rate application of farming inputs. It utilizes GPS with 10 cm accuracy to pinpoint geographic coordinates in real-time. A wheel encoder measures traveling speed with a slip-resistant wheel design for precise RPM readings. The Raspberry processes the data, …

Design And Implementation Of Portable Power And Desalination Units Powered By Renewable Energy, Mo'ath A. Massad

Mechanical Engineering Theses

Freshwater scarcity is a critical global issue, especially in remote areas or areas impacted by natural disasters. Water desalination is one of the most effective methods to provide fresh water where it is needed. However, large-scale desalination plants cannot provide fresh water in the case of a natural disaster far from the plant's location. To address this, portable desalination units powered by renewable energy sources can be developed to supply potable water and power as a by-product for emergency situations. This work explored the application of different desalination methods, including reverse osmosis (RO) and electrodialysis (ED), in conjunction with renewable …

Unlv Title Iii Aanapisi & Mcnair Scholars Institute Research Journal 2024, Jesica Godinez-Paredes, Kian Hassankhan, Apia Hickman, Robin Ruth Kee, Kevin Ayala Pineda, Briana Melendez, Kalli Ramos, Saturn L. Reyes, Fabian Leija, Selena Pepe, Silva Topchyan, Celeste Ainsley, Mayra Arzate, Jessica Balistreri, Zantana Ephrem, Mirella Jasso, Karl Panou, Nichole Pelaez, Miklo Alcala, Akshay Dave, Mey Mey Heng, Michael Finkle, Janessa Montenegro, Reynafe Naol Aniga, Victor Mejia, Angelica G. Diaz, Anayeli Flores-Garibay, Kari Lee Joe Goold, Samantha Hernandez, Lianelys Cabrera Martinez, Caitlin Reynolds, Kimberly N. Usbeck, Abdulrahman Alahdal, Angelica Diaz, Willaine Mae Kahano, Raquel Jackson, Cecia Ruiz-Hernandez, Kers Ung-Watson, Yessenia Henriquez, Vanessa Marie Booth, Alexia Brown, Darlyn Magana, Bianca Navarro, Nicholas Pereira, Gia Renemae Calip, Lucky Heng, Ralph Sagun, Lucas Abreu, Alexandra Maria Acosta, Tristan Benally, Cosset Hernandez Pena, Adrian Montenegro, Cierra Paaaina-Daquioag, Nicole Torosian, Tracy Fuentes, Julissa Martinez, Medina Mcallister, Michal Newhouse-Van Vlerin, Tiria Carr, Nima Abkenar, Isabella Aceituno, Yuhan Bi, Victoria Campos, Melika Cummings, Zachary J. Johnigan, Alexis Sotolongo-Marin

McNair Journal

Journal articles based on research conducted by undergraduate students in the AANAPISI, LSAMP, and McNair Scholars Program.

Table of Contents

About AANAPISI

Dr. Chris Heavey, Interim President

Dr. Keith Rogers, Vice President for Student Affairs

Ms. Zhanna Aronov, Associate Vice President for Retention & Outreach

A Review Of Textmining Techniques: Trends, And Applications In Various Domains, Hiba J. Aleqabie, Mais Saad Sfoq, Rand Abdulwahid Albeer, Enaam Hadi Abd

Iraqi Journal for Computer Science and Mathematics

Text mining, a subfield of natural language processing (NLP), has received considerable attention in recent years due to its ability to extract valuable insights from large volumes of unstructured textual data. This review aims to provide a comprehensive evaluation of the applicability of text mining techniques across various domains and industries. The reviewstarts off with a dialogue of the basic ideas and methodologies that are concerned with textual content mining together with preprocessing, feature extraction, and machine learning algorithms. Furthermore, this survey highlights the challenges faced at some stage in implementing textual content mining strategies. Additionally, the review explores emerging …

Ai-Based Defect Detection In Aerospace Ultrasonic Signals, Rami Issac Lake

Graduate Research Theses & Dissertations

Ensuring the safety and integrity of materials and structures throughout the manufacturing cycle is a critical concern across various industries, including aerospace, automotive, oiland gas, and civil engineering. Non-Destructive Inspection (NDI) techniques allow for the examination of materials without causing damage or alteration, enabling the early detection of potential issues before materials are utilized in the field. The inspection of fuselage composites presents a particular challenge due to their complex structures, diverse materials, and differences in thickness, making defect detection a challenging yet crucial task. Moreover, defects of various types and causes can emerge across all depths of the material …

Perceptions Of Lightboard Videos On Engineering Students' Engagement For Learning: A Mixed-Methods Case Study, Rana Sanyal

Graduate Research Theses & Dissertations

Purpose. Researchers have recommended using comprehensive visual materials in engineering courses, as visuals instill more information in students than auditory information and they have the ability to engage students more effectively than other types of content and to convey the nuances of non-verbal communication. The purpose of this study was to explore the perceptions of engineering students on incorporating technologically advanced video course materials (TAVCM) created with lightboard technology on their engagement in learning. Theoretical Framework. The theoretical framework was based upon an integrative learning environment that incorporated many theories of cognitive learning. The Cognitive Theory of Multimedia Learning (CTML) …

Genetic Engineering Of Escherichia Coli For The Production Of Riboflavin, Adeyemi Adesanwo

Graduate Research Theses & Dissertations

Riboflavin, a water-soluble vitamin B2, is essential for the growth and reproduction of living organisms. However, humans and animals lack a riboflavin synthesis pathway and must rely on diets derived from plants and microbes for this essential vitamin. To meet our needs for vitamin B2, industrial riboflavin production is currently being pursued using strains of Bacillus subtilis. The fermentation process is successful, but improvements are needed for better substrate-to-product conversion yield. To this end, it is imperative to develop alternative microbial strains for cost-effective riboflavin production.

Due to its simple growth requirement, well-understood genetic background, and widely available genetic tools, …

Enhancing Microwave Disinfection: Impact Of Sodium Chloride On Microbial Inactivation, Saleh A. Alfawaz, Ibrahim Nasser I. Alquaydheb, Amirreza Ghadimi Avval, Sara Ghayouraneh, Samir M. El-Ghazaly, Jianhong Zhou

Electrical Engineering and Computer Science Faculty Publications and Presentations

This study explores the role of sodium chloride (NaCl) in enhancing the efficiency of microbial inactivation using microwave energy with two distinct methods: temperature-controlled treatment and predefined cycle. The primary objective is to maintain a stable temperature within the biological samples during treatment. Detailed descriptions of the treatment system’s design and the function of each element are provided. Simulations are conducted to illustrate the heating behavior of liquids with and without NaCl, revealing significant differences in temperature profiles between the two media. The experimental design and the objective behind each iteration are discussed. The experimental design includes three different power …

Predicting Quality Of Life In Driving Scene Using Image Recognition Techniques And User Group Information, Ployrada Suvarnakuta

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study presents a machine learning approach for predicting perceived urban Quality of Life (QoL) by integrating visual features from street-level imagery with personal attributes, including demographic, socioeconomic, and travel behavior data. Using datasets from Bangkok and London, we trained supervised models—Support Vector Machines and Multilayer Perceptrons—under multiple input configurations to evaluate the contribution of each data type. Results show that combining visual and personal features improves prediction accuracy compared to using visual features alone. Statistical feature selection identified income, education, housing stability, and travel patterns as consistently important predictors, with some variation across urban contexts. These findings underscore the …

Mechanical Testing Of Novel Biopolymers For The Replacement Of Petroleum-Based Plastic Hay Bale Net Wrapping, Logan Wolf

Electronic Theses and Dissertations

The purpose of this thesis is to test biopolymers synthesized from oilseeds or produced from agricultural wastes for large bale net wrapping as a viable alternative to conventional petroleum-based plastics (PBP). The goal is to test and assess novel polymers to guide the synthesis of a benign biodegradable polymer. Biobased net wrapping will significantly reduce ingestion of PBPs in animals such as ruminants to improve digestive health and minimize cattle loss due to plastic disease. Biobased plastics will also achieve partial or complete breakdown shortly after service without depositing microplastics in the environment. This will reduce the risk of damage …

Reinforcing Network Resilience To Support Equitable Disaster Evacuation, Kate Kyung Hyun, Stephen Mattingly, Mehrdad Arabi, Md Ashraful Imran

Publications

The research report presents an extensive analysis of hurricane evacuation strategies, highlighting the critical role of transportation networks in emergency situations. It examines how variables such as hurricane severity and the geographic positioning of residential areas impact evacuation patterns, using real-time GPS data and the Rayleigh distribution to accurately model evacuation timing. The study is focused on assessing the transportation network's capacity to handle the surge in evacuation traffic, identifying the most critical links within the network that are vital for effective evacuation. Additionally, the report offers an in-depth look at the socio-economic implications of these evacuation strategies, particularly underscoring …

Monitoring Of Transportation System Assets Using Synthetic Aperture Radar (Sar) Satellite Data, Anand Puppala, Nripojyoti Biswas, Amit Gajurel

Data

This research harnessed both high and medium resolution Synthetic Aperture Radar (SAR) data to delve into infrastructure health assessment. High resolution SAR analyses capable of identifying differences between asphalt and concrete pavement surfaces. Particularly, it was found that Normalized Radar Cross Section (NRCS) values can deftly distinguish pavement types and detect surface anomalies such as alligator cracks in asphalt ahead of conventional methods. On the other hand, Time-Series Interferometric Synthetic Aperture Radar (InSAR) insights, extracted from medium resolution SAR, established a direct linkage between environmental factors and ground deformations. Such findings were corroborated by optical images collected during May 2017 …

Exploring Older Adults’ Mobility Challenges And Preferences Before And After Experiencing Covid-19 Pandemic, Hany Hassan, Bernard Boakye

Publications

The US Census Bureau reports that the number of seniors (65+ years old) in the US is predicted to increase from 16.5% in 2019 to 22% by 2050. However, seniors have reduced mobility as they age due to their declining health and the limited travel options available. Therefore, it is crucial to solve their transportation needs during pandemics like COVID-19 when they are most disadvantaged. This study involved an online national survey that collected 1507 responses from seniors in all the 50 US states to examine their travel behavior and challenges and their willingness to adopt Autonomous Vehicles before and …

Eco-Driving Of Connected And Autonomous Vehicles Approaching And Departing Signalized Intersections, Xiangyu Meng, Tonmoy Sarkar

Publications

Eco-driving is a driving strategy that focuses on reducing fuel consumption, carbon emissions, and improving passenger comfort through the implementation of safe and anticipatory driving strategies. One method to improve eco-driving in autonomous vehicles is the optimal control approach, which utilizes ‘Signal Phase and Time’ (SPaT) information to determine an energy-efficient trajectory for vehicles approaching and departing signalized intersections. Camera-based vision systems and deep learning techniques can be implemented to recognize the traffic signal head and its phase information, further enabling the vehicle to adapt its driving patterns for improved fuel efficiency and reduced emissions. This report reviews advancements in …

Leveraging Technology For Safer Roads For Vulnerable Road Users In South Africa, Ntombifuthi Ngobeni, Busisiwe Marole, Koketso Bosilong, Hlulani Nkuna

Kentucky Transportation Center Presentations

This research aims to enhance road safety, particularly for Vulnerable Road Users (VRUs) such as pedestrians and cyclists, through the use of both cutting-edge technologies and consideration of conventional engineering methods and solutions. The study focuses on innovative solutions related to the road environment and their impact on VRU safety, piloted at selected sites in South Africa. The research investigates the use of technologies such as video cameras, video analysis software, artificial intelligence and machine learning to conduct route risk assessments. These assessments inform the selection and implementation of effective safety measures tailored to enhance VRU safety. By understanding the …

Development Of Innovative Flocculation Technologies For Agricultural Water Treatment, Noor Haleem

Electronic Theses and Dissertations

The development of innovative flocculation technologies is essential for addressing the challenges of agricultural water treatment. These technologies play a crucial role in removing contaminants such as suspended solids and nutrients, thereby ensuring safer water for irrigation and livestock consumption. By enhancing water quality and wastewater management, they contribute significantly to environmental sustainability and public health in agricultural communities. This comprehensive thesis extensively explores various dimensions of flocculation, with a focused effort on methodologies and resources aimed at strengthening sustainability and efficiency. A pivotal aspect of the research involves synthesizing cationic starch (CS), a flocculant derived from an underutilized resource, …

Advancing Biological Applications Through Microfluidic-Based Tool Development, K.M. Taufiqur Rahman

Electronic Theses and Dissertations

This research undertook an interdisciplinary approach, integrating bioengineering, microbiology, molecular biology, and systems biology to investigate bacterial dynamics behavior. Specifically, it delved into the development of microfluidic devices for biological applications such as bacterial cell counts, real-time observation of plant roots (here, specialized lectin-coated microbeads are used that mimic root characteristics), and soil microbe interactions. Furthermore, Next-Generation Sequencing and systems biology methodologies were employed to explore the intricate, multifaceted survival mechanisms of Escherichia coli persister population. Studying and quantifying persisters or testing for the existence of VBNC (viable but nonculturable) is challenging. These experiments require precise counts. It has been …

Underwater Nitrate Monitoring With Wireless Flexible Sensor Networks, Shah Zayed Riam

Electrical Engineering Theses

This study introduces a sophisticated sensor array engineered for comprehensive monitoring of water quality, thereby addressing the pressing need for effective environmental conservation and water resource management. The array encompasses sensors for nitrate, pH, and temperature, seamlessly integrated into a unified flexible platform capable of wireless data transmission for real-time monitoring applications. Employing potentiometric detection methods, the nitrate and pH sensors offer robust analytical capabilities, while the temperature sensor operates on resistive principles.

The nitrate sensor, constructed using a novel nanocomposite comprising poly(3-octyl-thiophene) (PoT) and molybdenum disulfide (MoS₂), exhibits a sensitivity of -50 mV against every decade change …

Lead Bioaccessibility And Commonly Measured Soil Characteristics (Detroit, Mi, Usa) – Phase 1, Sabrina R. Good, Allison R. Harris, Patrick Crouch, Conor T. Gowan, William D. Shuster, Shawn P. Mcelmurry

Open Data at Wayne State

Contaminated urban soil is one of the major contributors to child Pb exposure. To gain a better understanding of Pb risk in urban areas, composite samples were collected from 142 residential, privately owned, parcels in Detroit, Hamtramck, and Highland Park, Michigan, with approval from the property owners. The proximity of soil sampling and former smelter locations were also reported. Sample were collected from areas covered with turf grass. Four samples were collected, one from each cardinal direction (north, south, east, and west), 20 cm from an aluminum tent stake driven into the center of the sampling site. Soils were collected …

Scenario Analysis Of Drinking Water Infrastructure Rightsizing In Flint, Michigan: Model Pipe Conditions, Richard Casey Sadler, Hyun Jeong Koo, Basheer Allamy, Shawn P. Mcelmurry

Open Data at Wayne State

Sustainable urban systems require appropriately sized infrastructure. However, when cities face economic and population decline, hardened infrastructure - such as drinking water distribution systems – is difficult and costly to modify. This dataset provides the results of a modeling exercise performed using EPANET (Version 2.2) to examine potential scenarios for rightsizing water infrastructure in a shrinking city. The modeling was performed utilizing a full-scale, calibrated hydraulic model of the drinking water distribution system in Flint, Michigan obtained through a Memorandum of Understanding between the City of Flint and Wayne State University.

For this analysis, in addition to a base model, …

Scenario Analysis Of Drinking Water Infrastructure Rightsizing In Flint, Michigan: Model Census Tract Results, Richard Casey Sadler, Hyun Jeong Koo, Basheer Allamy, Shawn P. Mcelmurry

Open Data at Wayne State

Sustainable urban systems require appropriately sized infrastructure. However, when cities face economic and population decline, hardened infrastructure - such as drinking water distribution systems – is difficult and costly to modify. This dataset provides the results of a modeling exercise performed using EPANET (Version 2.2) to examine potential scenarios for rightsizing water infrastructure in a shrinking city. The modeling was performed utilizing a full-scale, calibrated hydraulic model of the drinking water distribution system in Flint, Michigan obtained through a Memorandum of Understanding between the City of Flint and Wayne State University.

For this analysis, in addition to a base model, …

Material Fatigue And Fracture, Mohammad Amjadi

ATU Faculty OER Books and Materials

No abstract provided.

Differences In Urine Creatinine And Osmolality Between Black And White Americans After Accounting For Age, Moisture Intake, Urine Volume, And Socioeconomic Status, Patrick B. Wilson, Ian P. Winter, Josie Burdin

Exercise Science Faculty Publications

Urine osmolality is used throughout research to determine hydration levels. Prior studies have found black individuals to have elevated urine creatinine and osmolality, but it remains unclear which factors explain these findings. This cross-sectional, observational study sought to understand the relationship of self-reported race to urine creatinine and urine osmolality after accounting for age, socioeconomic status, and fluid intake. Data from 1,386 participants of the 2009–2012 National Health and Nutrition Examination Survey were utilized. Age, poverty-to-income ratio (PIR), urine flow rate (UFR), fluid intake, estimated lean body mass (LBM), urine creatinine, and urine osmolality were measured. In a sex-specific manner, …

Design And Development Of A Robotic Articulating Laparoscopic Instrument, Francisco Emmanuel T. Munsayac Jr Iii

Biomedical, Manufacturing and Robotics Engineering Dissertations

Laparoscopy, a minimally invasive surgical technique, has revolutionized the field of surgery by replacing traditional open procedures with smaller incisions and reduced patient trauma. However, the current design of manual laparoscopic devices limits the range of motion for surgeons, restricting their maneuverability to only two degrees of freedom (DOF). This dissertation is a study aimed at addressing this limitation by designing and developing a robotic articulating laparoscopic instrument capable of providing 7-DOF movement.

The research aims to enhance surgical precision and dexterity by creating a tool that offers improved freedom of movement, allowing surgeons to navigate complex anatomical structures more …

Using Ontological Methods To Compare Cybersecurity Maturity Model Certification 2.0 And Cobit 19, Aaron Marshall Ramey

CCAC Theses and Dissertations

Cybersecurity frameworks developed by a variety of organizations and implemented by a much larger collection of organizations differ in their focus and application. Whether designed by a private or government organization, the primary goal is to provide a framework to assess and reduce risk. The Department of Defense (DoD) has recently implemented the second version of the Cybersecurity Maturity Model Certification (CMMC 2.0). In some situations, compliance with CMMC 2.0 has already become mandatory for the Defense Industrial Base (DIB). Compliance will soon be required for all Large Businesses (LB) and Small Businesses (SB) within the DIB. While COBIT 19 …

Combating Disinformation On Social Media Networks With Media And Information Literacy Training For Social Media Network Users, Oscar Kwok Chao Ho

CCAC Theses and Dissertations

In the Internet age, social media networks (SMNs), such as Facebook (FB), Instagram (IG), and Twitter (TW), have gained popularity and become an essential part of human life. SMNs provide ease of connection to family, friends, and communities; however, they increase the chances social media network users (SMN users) will disclose private information (PI), causing critical harm to SMN users’ information privacy (IP). Furthermore, SMN users are exposed to significant amounts of disinformation, misinformation, or fake news, which they share without realizing the information is untrustworthy.

The goal of this developmental research was to investigate, examine, and understand the effects …

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. …

Promoting Safe Use Of Amrs By Assessing Their Residual Risks And Safety-Related Functions, Tongzhou Zhang, Sabrina Jocelyn, Chun Hong Law, Ali Aidibe, Soumaya Yacout

Articles dans des actes de congrès

With Autonomous Mobile Robots (AMRs), the usual risks are those of collision between a worker and the AMR, or a body part trapped between the AMR and a fixed or moving obstacle. To bypass obstacles (human or otherwise), AMRs feature autonomous control systems activating safety-related functions based on machine learning or optimization algorithms. This paper proposes a roadmap to guide integrators and users on the safe implementation of two AMRs. To do so, a risk assessment of two identical AMRs was performed, using ISO 12100, in a test bed consisting of an Intelligent Cyber-Physical Systems laboratory warehouse at Polytechnique Montreal. …

Muscle Activation And Coordinated Movements Of Infant Rolling, Danielle N. Siegel, Safeer F. Siddicky, Wyatt D. Davis, Erin M. Mannen

Mechanical and Biomedical Engineering Faculty Publications and Presentations

Rolling is a critical step of infant development, encouraging muscle coordination and enabling independent exploration. Understanding muscle activity during infant rolling movements on a flat surface is necessary to more fully characterize how the rolling milestone is achieved. The purpose of this study was to determine infants’ muscle activation throughout roll initiation for six previously established coordinated movements. Thirty-eight healthy infants (age: 6.5 ± 0.7 months; 23M/15F) were enrolled in this IRB-approved in-vivo biomechanics study. Surface electromyography sensors recorded muscle utilization from the erector spinae, abdominal muscles, quadriceps, and hamstrings while infants rolled. Each rolling movement was categorized as one …

Economic, Environmental, And Social Characteristics Of E-Scooters On Lsu Campus, Mostafa Elseifi, Md Afif Rahman Chowdhury

Data

This study provides a comprehensive evaluation of e-scooter technology, with a focus on its environmental, economic, and social impacts, particularly within university settings at the Louisiana State University (LSU) campus. A life-cycle assessment (LCA) was conducted to assess the environmental sustainability of e-scooters, encompassing all stages from raw materials acquisition to end-of-life. The analysis determined that the total CO₂ emissions for an e-scooter over a five-year lifespan were approximately 389 kg, with significant reductions possible by improving the lifespan of e-scooters, integrating recycled materials, and utilizing renewable energy sources for charging batteries. The study also compared the environmental and …