Engineering Commons^™

The Effectiveness Of Visualization Techniques For Supporting Decision-Making, Cansu Yalim, Holly A. H. Handley

Modeling, Simulation and Visualization Student Capstone Conference

Although visualization is beneficial for evaluating and communicating data, the efficiency of various visualization approaches for different data types is not always evident. This research aims to address this issue by investigating the usefulness of several visualization techniques for various data kinds, including continuous, categorical, and time-series data. The qualitative appraisal of each technique's strengths, weaknesses, and interpretation of the dataset is investigated. The research questions include: which visualization approaches perform best for different data types, and what factors impact their usefulness? The absence of clear directions for both researchers and practitioners on how to identify the most effective visualization …

Enhancement Of Deep Learning Protein Structure Prediction, Ruoming Shen

Modeling, Simulation and Visualization Student Capstone Conference

Protein modeling is a rapidly expanding field with valuable applications in the pharmaceutical industry. Accurate protein structure prediction facilitates drug design, as extensive knowledge about the atomic structure of a given protein enables scientists to target that protein in the human body. However, protein structure identification in certain types of protein images remains challenging, with medium resolution cryogenic electron microscopy (cryo-EM) protein density maps particularly difficult to analyze. Recent advancements in computational methods, namely deep learning, have improved protein modeling. To maximize its accuracy, a deep learning model requires copious amounts of up-to-date training data.

This project explores DeepSSETracer, a …

Statistical Approach To Quantifying Interceptability Of Interaction Scenarios For Testing Autonomous Surface Vessels, Benjamin E. Hargis, Yiannis E. Papelis

Modeling, Simulation and Visualization Student Capstone Conference

This paper presents a probabilistic approach to quantifying interceptability of an interaction scenario designed to test collision avoidance of autonomous navigation algorithms. Interceptability is one of many measures to determine the complexity or difficulty of an interaction scenario. This approach uses a combined probability model of capability and intent to create a predicted position probability map for the system under test. Then, intercept-ability is quantified by determining the overlap between the system under test probability map and the intruder’s capability model. The approach is general; however, a demonstration is provided using kinematic capability models and an odometry-based intent model.

Behind Derogatory Migrants' Terms For Venezuelan Migrants: Xenophobia And Sexism Identification With Twitter Data And Nlp, Joseph Martínez, Melissa Miller-Felton, Jose Padilla, Erika Frydenlund

Modeling, Simulation and Visualization Student Capstone Conference

The sudden arrival of many migrants can present new challenges for host communities and create negative attitudes that reflect that tension. In the case of Colombia, with the influx of over 2.5 million Venezuelan migrants, such tensions arose. Our research objective is to investigate how those sentiments arise in social media. We focused on monitoring derogatory terms for Venezuelans, specifically veneco and veneca. Using a dataset of 5.7 million tweets from Colombian users between 2015 and 2021, we determined the proportion of tweets containing those terms. We observed a high prevalence of xenophobic and defamatory language correlated with the …

An Algorithm For Finding Data Dependencies In An Event Graph, Erik J. Jensen

Modeling, Simulation and Visualization Student Capstone Conference

This work presents an algorithm for finding data dependencies in a discrete-event simulation system, from the event graph of the system. The algorithm can be used within a parallel discrete-event simulation. Also presented is an experimental system and event graph, which is used for testing the algorithm. Results indicate that the algorithm can provide information about which vertices in the experimental event graph can affect other vertices, and the minimum amount of time in which this interference can occur.

Towards Nlp-Based Conceptual Modeling Frameworks, David Shuttleworth, Jose Padilla

Modeling, Simulation and Visualization Student Capstone Conference

This paper presents preliminary research using Natural Language Processing (NLP) to support the development of conceptual modeling frameworks. NLP-based frameworks are intended to lower the barrier of entry for non-modelers to develop models and to facilitate communication across disciplines considering simulations in research efforts. NLP drives conceptual modeling in two ways. Firstly, it attempts to automate the generation of conceptual models and simulation specifications, derived from non-modelers’ narratives, while standardizing the conceptual modeling process and outcome. Secondly, as the process is automated, it is simpler to replicate and be followed by modelers and non-modelers. This allows for using a common …

Agenda: Msvscc 2023, Jessica Johnson

Modeling, Simulation and Visualization Student Capstone Conference

Agenda for the 16th annual Modeling, Simulation & Visualization (MSV) Student Capstone Conference held on April 20, 2023 held in-person at the Virginia Modeling, Analysis and Simulation Center (ODU-VMASC).

Automatic Generation Of Virtual Work Guide For Complex Procedures: A Case, Shan Liu, Yuzhong Shen

Modeling, Simulation and Visualization Student Capstone Conference

Practical work guides for complex procedures are significant and highly affect the efficiency and accuracy of on-site users. This paper presents a technique to generate virtual work guides automatically for complex procedures. Firstly, the procedure information is extracted from the electronic manual in PDF format. And then, the extracted procedure steps are mapped to the virtual model parts in preparation for animation between adjacent steps. Next, smooth animations of the procedure are generated based on a 3D natural cubic spline curve to improve the spatial ability of the work guide. In addition, each step's annotation is automatically adjusted to improve …

Enhancing Pedestrian-Autonomous Vehicle Safety In Low Visibility Scenarios: A Comprehensive Simulation Method, Zizheng Yan, Yang Liu, Hong Yang

Modeling, Simulation and Visualization Student Capstone Conference

Self-driving cars raise safety concerns, particularly regarding pedestrian interactions. Current research lacks a systematic understanding of these interactions in diverse scenarios. Autonomous Vehicle (AV) performance can vary due to perception accuracy, algorithm reliability, and environmental dynamics. This study examines AV-pedestrian safety issues, focusing on low visibility conditions, using a co-simulation framework combining virtual reality and an autonomous driving simulator. 40 experiments were conducted, extracting surrogate safety measures (SSMs) from AV and pedestrian trajectories. The results indicate that low visibility can impair AV performance, increasing conflict risks for pedestrians. AV algorithms may require further enhancements and validations for consistent safety performance …

A Comparison Of Nonverbal And Paraverbal Behaviors In Simulated And Virtual Patient Encounters, Sarah Powers, Mark W. Scerbo, Matthew Pacailler, Macy Kisiel, Baillie Hirst, Ginger S. Watson, Lauren Hamel, Fred Kron

Modeling, Simulation and Visualization Student Capstone Conference

The present study assessed whether trainees display similar nonverbal and paraverbal behaviors when interacting with a simulated (SP) and virtual patient (VP). Sixty second slices of time following four interactions were rated for the presence and frequency of three nonverbal and paraverbal behaviors. Results revealed that students exhibited fewer behaviors in the VP interaction, possibly due to differences social inhibition or fidelity between the two formats.

U-Net Based Multiclass Semantic Segmentation For Natural Disaster Based Satellite Imagery, Nishat Ara Nipa

Modeling, Simulation and Visualization Student Capstone Conference

Satellite image analysis of natural disasters is critical for effective emergency response, relief planning, and disaster prevention. Semantic segmentation is believed to be on of the best techniques to capture pixelwise information in computer vision. In this work we will be using a U-Net architecture to do a three class semantic segmentation for the Xview2 dataset to capture the level of damage caused by different natural disaster which is beyond the visual scope of human eyes.

Simulating Function Generators And Oscilloscopes In A Virtual Laboratory Environment, Yiyang Li, Yuzhong Shen, Charles I. Sukenik

Modeling, Simulation and Visualization Student Capstone Conference

This paper discusses the development of a virtual laboratory for simulating electronic instruments commonly used in science and engineering courses, such as function generators and digital storage oscilloscopes. Mathematical equations are used to represent continuous signals and ensure signal integrity, while C# delegates are adopted to enable communication between simulated devices. The approach allows for loose coupling between software components and high cohesion of individual components, and can be applied to other virtual laboratory developments. The virtual laboratory provides a means for students to gain hands-on experience with electronic instruments and improve their understanding of theoretical concepts.

Assessing Frustration Towards Venezuelan Migrants In Columbia: Path Analysis On Newspaper Coded Data, Brian Llinás, Guljannat Huseynli, Erika Frydenlund, Katherine Palacia, Jose Padilla

Modeling, Simulation and Visualization Student Capstone Conference

This study analyzes the impact of Venezuelan migrants on local frustration levels in Colombia. The study found a relationship between the influx of Venezuelan migrants and the level of frustration among locals towards migrants, infrastructure, government, and geopolitics. Additionally, we identified that frustration types have an impact on other frustrations. The study used articles from a national newspaper in Colombia from 2015 to 2020. News articles were coded during a previous study qualitatively and categorized into frustration types. The code frequencies were then used as variables in this study. We used path modeling to statistically study the relationship between dependent …

Lidar Buoy Detection For Autonomous Marine Vessel Using Pointnet Classification, Christopher Adolphi, Dorothy Dorie Parry, Yaohang Li, Masha Sosonkina, Ahmet Saglam, Yiannis E. Papelis

Modeling, Simulation and Visualization Student Capstone Conference

Maritime autonomy, specifically the use of autonomous and semi-autonomous maritime vessels, is a key enabling technology supporting a set of diverse and critical research areas, including coastal and environmental resilience, assessment of waterway health, ecosystem/asset monitoring and maritime port security. Critical to the safe, efficient and reliable operation of an autonomous maritime vessel is its ability to perceive on-the-fly the external environment through onboard sensors. In this paper, buoy detection for LiDAR images is explored by using several tools and techniques: machine learning methods, Unity Game Engine (herein referred to as Unity) simulation, and traditional image processing. The Unity Game …

Welding 3d Printed Structures For Composite Sacrificial Tooling, Dominic L. Perez, Kyle Gerold, Matt K. Ficker, Matthew D. Wooden, Aidan M. Dungy, Brennan G. Coit

Research & Creative Achievement Day

3D printed parts offer the ability to generate dimensioned, complex objects with minimal machining touch time and skill, but they are typically very weak and limited in size. Strong and light composite parts require tooling to be created for the fabric to lay on while the resin is curing, but tooling can be quite expensive during the prototyping phase or for low part quantity runs. This study examined the techniques required to weld smaller 3D printed parts together to form large 3D printed tools that could be used as a sacrificial tool for a composite part. In this method, the …

Carbon Cornhole, Justin O. Dailey, Blake M. Endle, Joshua J. Lebrun, Bailey J. Banaszynski, Josiah M. Gleisner

Research & Creative Achievement Day

The purpose of this design project is to create a durable lightweight yard game for players of all skill levels. Carbon Cornhole is a composite improvement on the already popular yard game, cornhole, with a new twist. The final product is based on valued feedback from customers. The board is manufactured of carbon fiber/epoxy sandwich panels with a closed cell foam core. The composite design provides a lightweight product. The panels are specifically manufactured to retain their mechanical properties when exposed to outdoor elements such as water and UV radiation. The addition of inlayed LED lights and two new "skill …

Flexural Creep Comparison To Tts Creep For Pp And Pp-Gf30, Max R. Kauphusman, Regan G. Harvey

Research & Creative Achievement Day

Creep testing is one of the most expensive datasets to acquire in both cost ($10k+) and time (2+ months). Dynamic Mechanical Analysis offers a unique opportunity to characterize creep properties of polymers using a technique called Time Temperature Super Positioning (TTSP) in a relatively short period of time. TTSP works by holding either frequency or loading constant at set temperatures for a constant period of time. WLF equations are then used to combine multiple curves from different temperatures into a master curve that can be used to extrapolate out creep performance at designated reference temperatures and save a considerable amount …

Spectral Fatigue Behavior Of Az31 Magnesium During Variable Loading, Manuel Figueroa Gomez, Daniel Kenney

Liberty University Research Week

Undergraduate

Applied

Position And Energy Controlled Impact Treatment For Increasing Strength And Ductility In Stainless Steel, Samuel Scott

Liberty University Research Week

Graduate

Applied

Role Of Ai In Threat Detection And Zero-Day Attacks, Kelly Morgan

Cybersecurity Undergraduate Research Showcase

Cybercrime and attack methods have been steadily increasing since the 2019 pandemic. In the years following 2019, the number of victims and attacks per hour rapidly increased as businesses and organizations transitioned to digital environments for business continuity amidst lockdowns. In most scenarios cybercriminals continued to use conventional attack methods and known vulnerabilities that would cause minimal damage to an organization with a robust cyber security posture. However, zero-day exploits have skyrocketed across all industries with an increasingly growing technological landscape encompassing internet of things (IoT), cloud hosting, and more advanced mobile technologies. Reports by Mandiant Threat Intelligence (2022) concluded …

Lack Of Black Female Diversity Within The Cybersecurity Workforce, Eric Preston

Cybersecurity Undergraduate Research Showcase

Cybersecurity methods, strategies, and programs for protecting computers and electronic devices have become critically important in all aspects of the technological infrastructure. However, while this is a vastly growing field that has a large workforce, it suffers from a lack of representation, specifically for Black/African American females. This study examines the barriers that prevent Black women from having representation within the cybersecurity workforce and solutions that address them. Some barriers noted include a lack of role models and resources, historical discrimination and systemic barriers, and cultural norms. Additionally, implications created by these barriers include less diversity, a lack of career …

A Systematic Review On High Flux And Medium Cut Off Membranes – Benchmarking Using Simulation Models, Ahana Fatima Alex, R Vinoth, Ravishankar Dudhe

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

Eben Cabs (Mobility As A Service), Asha Kumari

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

Current Trends In Brain Computer Interface : A Review, Bishal Kumar Gupta, Akash Kr Bhoi, Tawal Kumar Koirala

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

A Solution To Unicode Phishing, Hari Om, Ritik Kumar, Saumya Das

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

Data Analysis On Covid-19 Vaccination In India, Shashank Shekhar, Kumar Abhishek

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

Leipzig Applicator Dose Study Progress And Mesh Computational Phantoms, Julianna Davis

Undergraduate Research Competition

Leipzig applicators are tools used to administer brachytherapy, which is a treatment for skin cancer that is typically used when it occurs on the face of the patient. This treatment requires the patient to have lead shielding over their eyes to protect the sensitive lenses. This study is in the progress of modeling this scenario in order to determine the radiation dose delivered to the patient’s eyes due to the lead shielding. This is being done in a Monte Carlo computational radiation transport program, EGS (Electron Gamma Shower,) which was previously unable to handle mesh computational phantoms. After working with …

A Scalable Framework For Transit Assignment, Prateek Agarwal, Tarun Rambha, Dhanus M. Lal, Ayush Kumar

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

Synthesis Of Oil-In-Water (O/W) Nanoemulsions Using Ultrasonication – Evaluation Of Physical And Oxidative Stability, Devangshi Debraj, Mahima Ganguly, Jitendra Carpenter

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

Examination Of Biomedical Samples Using The Smartphone-Based Imaging Device And Analysis Of Captured Images, Yashovardhan ., Shree Hasta, Vishwanath Managuli, Sindhoora Kaniyala Melanthota, Nirmal Mazumder

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.