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Maritime Digitalization And Decarbonization: A Sustainable Future, World Maritime University, Korea Research Institute Of Ships And Ocean Engineering, Korea Maritime Institute

Books

The book with the title “Maritime Digitalization and Decarbonization: A Sustainable Future” is the second major outcome following the publication of the Proceedings of WMU Maritime Week (WMW) 2024.

The purpose of WMU Maritime Week 2024 (WMW) was to convene experts from diverse sectors to discuss contemporary maritime issues, generate practical and academic insights, and contribute to the advancement of the international maritime community. Following the success of WMW 2024, the aim is to deliver a top-notch annual conference in the maritime field, producing practical and academic outputs through in-depth discussions of critical contemporary issues in the maritime field. …

Generative Ai (Gan & Vae) In Motion Sickness Research, Harigovind Harikumar, Tomojit Ghosh

Celebration of Undergraduate & Graduate Research, Scholarship, and Creative Activities Materials

No abstract provided.

A Systematic Study Of Freezing Behavior In Earthworms In Response To Auditory And Vibratory Stimuli, Navjot Singh, A. Burton, Dragana Ivkovich Claflin

Celebration of Undergraduate & Graduate Research, Scholarship, and Creative Activities Materials

While earthworms have largely been studied for their role in eliminating toxic metals from soil, less is known about their behavior overall. Previous work from our lab found that a predator-like auditory stimulus (grunting) reliably induced fear-related freezing behavior (Worthen et al., 2024). The present studies further explore earthworm behaviors in response to audio-vibratory stimuli. In Experiment 1, we manipulated amplitude levels and speaker location to examine the parameters needed to reliably induce a freezing fear response to the grunting sound. It was hypothesized that when the speaker was touching the apparatus and producing an added mechanical vibration, there would …

Cross-Facility Reliable Deep Learning Based Beef Marbling Assessment Via Unsupervised Domain Adaptation Regression, Samuel Vinson, Dongyi Wang

2025 Research Poster Competition

Beef is one of the most important sources of animal protein and plays a crucial role in daily diets to support muscle growth, energy production and overall health. Historically, each beef carcass was evaluated by 3-5 skilled United States Department of Agriculture (USDA) meat graders, which are still considered as the gold standard for grading. Since 2009, electronic imaging grading systems have been approved by the USDA and have been gradually adopted in the grading facilities. Accurate and consistent beef grading plays a critical role in maintaining the quality, market value, and consumer trust in U.S. beef products. The USDA …

Intercellular Stress Generation During 1d Collective Migration Of Cancer Cells, Logan Waddle, Jian Zhang

2025 Research Poster Competition

Physical forces drive many cellular processes such as migration and proliferation. A metastatic tumor will have invasive strands/chains that extend from the main tumor. These chains of cells collectively migrate away from the main tumor to establish new colonies elsewhere in the body. However, how physical forces drive this collective invasion and the required energy for this process is not well understood. Invasion of a metastatic tumor to surrounding tissues leads to a majority of cancer-associated death and is often a collective effort among cells, it is therefore important to fully understand the process behind collective cancer invasion.

The goal …

Stakeholder Perspective-Taking In Engineering Design; A Neurocognitive Approach, Megan Taylor, Yakhoub Ndiaye, Jenn Campbell

2025 Research Poster Competition

During the engineering design process, the ‘black box’ of a designer's mind determines who the stakeholders are, which stakeholder needs they are addressing and how they will address them. This process can build bias into engineering designs, leading to less equitable, accessible, and inclusive engineered artifacts. Design neurocognition, a new field that aims to determine the unknowns of a working designer’s mind, has arisen because of this uncertainty. The fNIRS (Functional Near-Infrared Spectroscopy) allows insight into the prefrontal cortex during decision making processes by analyzing the change in oxygenated blood in the surface of the prefrontal cortex, about 3 cm …

Exploring User Sentiment On Social Issues Via Neural Network Transfer Learning In Digital Communities, Ananya R. Vangoor

2025 Research Poster Competition

Understanding public sentiment on social issues is crucial for gauging the stance of the general population. Traditionally, surveys have been a common approach for this. However, to capture more candid opinions, social media provides a rich source of unadulterated opinions. By analyzing social media statements, we can gain insights into the perspectives of specific groups. More specifically, we will investigate the attitudes of the public into the relationship between hard work and success in the workplace.

To begin, I will be training a neural network on X, formerly known as Twitter, tweets to categorize each tweet as either pro-luck or …

Analyzing Unmanned Aircraft System (Uas) Incidents From Nasa Asrs Data Using Unsupervised Machine Learning, Kacey Haws, Neelakshi Majumdar

2025 Research Poster Competition

The NASA Aviation Safety Reporting System (ASRS) assembles voluntarily submitted aviation safety incident reports in their database to act on the information provided. This database allows the government, companies, and citizens to submit incident or situational reports to its database to discern recurring issues in the National Aviation System (NAS) so that the proper officials can act [1]. The narratives provided in these reports are text-based, resulting in large amounts of data to process. Previous work in the University of Arkansas Aerospace Systems Engineering and Transportation Laboratory (ASYST) lab involved parsing unmanned aircraft system (UAS) incident reports manually. While these …

A Review Of Unmanned Aircraft Systems Safety Reporting And Analysis Of Incidents, Ryker Davis, Neelakshi Majumdar

2025 Research Poster Competition

Unmanned Aerial Systems (UAS), or drones are rapidly integrating into various industries. However, safety concerns regarding their design, training, and operation are rising. To ensure safer integration into the National Airspace System (NAS), it is crucial to understand the potential risks associated with UAS operations. To address these safety concerns, a systematic analysis of UAS incidents is essential to identify common factors and potential risks. There are various sources that record UAS safety events such as accidents and incidents. Analyzing these safety events to identify their causes and contributing factors may help in developing improved design and operations and thereby …

A Statistical Analysis For Evaluating The Parameters Influencing The Rutting And Cracking Performance Of Asphalt Mixtures, Alexis Light, Mohammad Tahir Ansari, Andrew F. Braham

2025 Research Poster Competition

Durable pavement is essential for modern transportation infrastructure, especially in the United States of America which boasts over 8.5 million lane miles of roads and highways. Despite advanced construction techniques, asphalt pavements are susceptible to rutting and cracking, significantly affecting their performance and maintenance costs. Current methods for analyzing rutting and cracking in asphalt mixtures rely on various parameters, leading to measurement variability. This highlights the need for more rigorous analysis to explore the relationship between mix design variables and pavement performance. This research explores the IDEAL-CT and Asphalt Pavement Analyzer (APA) data from mix designs collected by the Arkansas …

Solo Versus Dual: A Comparative Analysis Of Instructional General Aviation Accidents, Jesse Pham, Neelakshi Majumdar

2025 Research Poster Competition

The Federal Aviation Administration (FAA) oversees and regulates all aviation operations in the United States including General Aviation (GA) (FAA, 2016). General aviation is defined as all civil aviation operations other than scheduled air services and non-scheduled air transport operations for remuneration or hire (ICAO, 2009). The FAA sets the standards for pilot certification and training. Student pilots are required to fly at least a minimum of 40 hours to earn their private pilot license (CFR, 2024). During this time, students are to fly for at least 30 hours with a flight instructor and 10 hours solo, which includes cross-country …

Simulation-Enhanced Bayesian Optimization Of System Designs Using Hybrid Physical And Computer Experiments, Luke Kim, Kelly Sullivan, Haitao Liao, Ed Pohl

2025 Research Poster Competition

We consider the problem of learning and optimizing the performance of a system by conducting a limited number of physical and digital experiments within a design space. Physical experiments are assumed to be unbiased but costly, while digital experiments (e.g., simulations) are less expensive but may introduce bias due to the limitations of the simulation model. This problem is relevant in many fields, such as optimizing engineered systems where performance (e.g., mechanical properties and reliability) depends on various design variables and external/internal factors. Without digital experiments, optimizing the system’s performance amounts to evaluating a noisy and expensive-to-assess black-box function, a …

Globus Pallidus Internus Dynamics During Freezing Of Gait, Nicholas Druck, Dean J. Krusienski, Josephine Wallner

Graduate Research Posters

Background: Parkinson’s disease (PD) is a progressive neurodegenerative disorder affecting ~1 in 1000 individuals over age 45. Freezing of Gait (FOG), a debilitating symptom in late-stage PD, affects up to 63% of patients and contributes to falls and reduced quality of life. While deep brain stimulation (DBS) of the subthalamic nucleus (STN) helps some symptoms, FOG remains difficult to treat. Given the complexity of basal ganglia circuitry, the role of related basal ganglia nuclei, such as the Globus Pallidus internus (GPi), in FOG deserves further investigation.

Methods: Five PD patients with FOG, implanted with Medtronic Percept DBS systems …

Predicting Complex Di-Alkylation Kinetics Using Machine Learning, Colin Bailey, Thomas Roper

Graduate Research Posters

Background: Predicting reaction kinetics for complex chemical systems often presents significant challenges due to intricate reaction pathways, multiple product formations, and competing side reactions. Additionally, the transient nature of reaction intermediates and limited experimental data complicate efforts to capture system dynamics accurately. These complexities necessitate advanced modeling approaches and precise experimental techniques to reliably describe and predict chemical behavior.

Methods: This work investigates the kinetics of di-alkylation of 4-Hydroxybenzoic Acid (4-HBA) using multiple machine learning algorithms, including Random Forest Regression, Gradient Boosting, Lasso, Ridge, and XGBoost. By leveraging reaction conditions, such as temperature, sulfuric acid equivalents, and initial concentrations of …

Affordable And Sustainable: Innovating Filament Extrusion For Recycled Materials, Turab S. Rizvi

Undergraduate Research Posters

The chemical stability, toxicity and non-biodegradability of the polymers pose a significant environmental threat. Addressing end-of-life treatment sustainability is crucial for mitigating these issues. The customized Lyman filament extruder in the Advanced Magnetic Materials Processing Laboratory represents an innovative approach to advancing sustainability in renewable energy production and CO₂ mitigation. Redesigning the thermal system and screw operation will tackle key challenges, including precise temperature control, consistent material flow to handle diverse recycled materials. Integrating an advanced thermal regulation system will reduce the energy consumption by maintaining optimal thermal conditions, thereby lowering the CO₂ footprint of the recycling process. The optimized …

2024 Scholarly Productivity Report, Missouri University Of Science And Technology

Civil, Architectural and Environmental Engineering Scholarly Productivity Reports

No abstract provided.

Quantitative Analysis Of Machine Learning Model Performance And The Need To Consider Explainability, Vishnu S. Pendyala

Open Educational Resources

This presentation, titled "Quantitative analysis of Machine Learning model performance and the need to consider explainability," delves into various metrics used for evaluating machine learning models. It thoroughly examines fundamental classification metrics like accuracy, precision, recall, and F-score, while also discussing more advanced measures such as the Kappa Statistic and Matthews Correlation Coefficient (MCC), particularly highlighting their relevance in scenarios with imbalanced datasets. The presentation underscores the importance of model accuracy in real-world applications and briefly introduces regression metrics like R-squared and F-statistic. Additionally, it addresses challenges related to data imbalance and fairness in ML models, stressing the critical need …

Construction Site Planning And Logistical Operations: Site-Focused Management For Builders, Second Edition, Randy R. Rapp, Bradley L. Benhart

Purdue Handbooks in Building Construction

Organizing and administering a construction site so that the right resources get to the right place in a timely fashion demands strong leadership and a well-defined, disciplined process. Good logistical operations enable profitability, and this book is the essential, muddy boots guide to such management. Written by experienced educator–practitioners, Construction Site Planning and Logistical Operations is a popular guide to the knowledge, skills, and abilities needed by project superintendents, especially, but useful to all constructors. This second edition is updated to include new technologies, resources, and details of operational planning. Leadership imperatives and management techniques remain integrated throughout. The book …

12.02.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Email Address Matters

All of Us Researcher Symposium

Welcome Anya Goldman

12.09.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Employee Profiles

In Person Account Reconciliation and Tableau Training

NSF Proposals with Consultant or Professional Services

Chandler & Price Printing Press: Patents From Late 19th To Early 20th Centuries, Ashley S. Mcguire

Patent Coloring Books

Patent coloring book

Teaching Learning Newsletter Vol 4 Issue 2, Sastra Deemed To Be University

TLC Newsletter

No abstract provided.

Mechanical Stress In Solar Cells: Beyond The Sun's Light, Md Motinu Rahman

Engineering Graduate Student 3MT

The average lifespan of a solar panel is typically 20-25 years, often limited by thermal mechanical stress caused by daily and seasonal temperature changes. These stresses create microcracks, leading to reduced efficiency and eventual failure. To address this, integrating stress and temperature sensors within solar panels can monitor and manage stress through a water-cooling system. The sensors are connected to the cloud through ThingSpeak, where data analysis is performed, and the entire system is integrated with a DC microgrid. A MATLAB algorithm, developed using reinforcement learning, manages the load and solar panel operation. This approach can potentially double the lifespan …

2024 Summer-Fall Graduate Recognition Program, Propulsion Research Center, Robert Frederick

PRC Graduate Recognition

This program includes the graduate recognition program for summer and fall 2024. Includes photographs, upcoming events, recent publications, and student profiles.

Transportation Policies, Programs And History, Ivonne Audirac, Amber B. Raley, Jenifer Reiner, Soheil Sharifi-Asl

Mavs Open Press Open Educational Resources - Archive

Transportation Policies, Programs and History is a text intended for advanced undergraduate and beginning graduate students in urban and transportation planning. Contents by chapter include:

1. Brief history of U.S. transportation policy and traffic congestion: A persistent transportation planning issue.
2. Transportation planning and modeling.
3. Transportation programming and evaluation.
4. Equity in transportation planning
5. Mobility modes.
6. Transportation, accessibility, and the built environment.
7. Transit and transit-oriented development.
8. Transportation and new technologies.
9. Sustainable transportation.
10. Transportation in the Global South.

This textbook is part of a six-volume series produced under the grant OERTransport: Enabling Transportation Planning Professional Advancement awarded to the University of Texas-Arlington (UTA) …

Autonomous Driving Trajectory Prediction, Carlos Funes

Undergraduate Research Symposium Lightning Talks

Autonomous driving is undoubtedly one of the world's most revolutionary technologies, opening the door to a more secure traffic environment. This innovation has led to vehicles being able to drive by themselves without the necessity of a person behind the wheel, as well as cruise control, lane-keeping assist, and automatic emergency braking. Unfortunately, there is still plenty of work before autonomous driving becomes more popular among drivers. While at UNLV as an undergraduate student/research assistant, one of my goals is to learn how these technologies work to bring ideas into the automotive industry by refining solutions to problems within these …

It's Not As Bad As You Think: Detecting Ai-Generated Voices, Yong Qin Xu

Undergraduate Research Symposium Lightning Talks

Advances in machine learning have opened up the world to a brand new frontier of fraudulent phone calls which the average person may not be in any way prepared for. From imitations of a loved one's voice to lifelike mimicry of human callers, telephone scams may become harder than ever to anticipate or prevent now that criminals have the help of AI on their side. This is why in my research paper, I aim to analyze and compare two existing methods of detecting the authenticity of human voice recordings in order to demonstrate and explain currently available technology that's capable …

Beyond The Waterfall: A Review Of Project Management Methodologies In Stem, Yessenia Henriquez

Undergraduate Research Symposium Posters

Project management has been exercised from history's early stages to concurrent practices today. It has evolved from the early stages of the Gantt chart and five primary principles to well-renowned project management methodologies such as Waterfall and Agile. This literature review focuses on comprehending four project management methodologies (Waterfall, Agile, Kanban, and Scrum), learning their criteria and frameworks, and their application in a specific STEM environment when applicable. This work reviews the recent research literature about these four methods. An overview of project management certificates and guidelines is covered as well. Waterfall is known to be a traditional method, having …

Utilizing A Hybrid Apprach To Link Maternal And Neonatal Records, Vidhani S. Goel, Ana Reyes, Bertille Assoumou, Dodds P. Simangan, Farooq Abdulla, Megumi Akiyama, Deborah A. Kuhls, Kavita Batra

Undergraduate Research Symposium Posters

Linkage of independent datasets allows comprehensive and robust analysis. This study aims to utilize a hybrid strategy to link maternal records with neonatal data with an overarching goal of investigating correlates of adverse birth outcomes.

To link 126,757 records from Nevada Medicaid with 249,181 maternal records from Birth Registry, a hybrid linkage approach was utilized. Data normalization was first performed for the standardization of linkage keys. First, a deterministic approach was used to link these records using a unique identifier followed by a fuzzy or probabilistic algorithm using a set of block variables. These block variables included date of birth, …

Characterizing The Mechanical And Visoelastic Properties Of Sodium Alginate, Vesper Evereux

Undergraduate Research Symposium Posters

A crucial part of tissue engineering lies in understanding and characterizing the mechanical and viscoelastic properties of various types of biomaterials. Understanding these properties allows better biomaterials to be produced with characteristics more similar to those of the human body and with better biocompatability. In this study, sodium alginate was chemically crosslinked with calcium chloride and subsequently tested for it's instantaneous Elastic Modulus, instantaneous Shear Modulus, and equivalent viscosity using indentation testing methods consisting of a stress-relaxation test and nonlinear curve-fitting analysis. Two and three millimeter indentation tests were performed using a low-cost and portable device built in-lab that resulted …