Engineering Commons^™

Digital Transformation: Implementing 3d Printing Activities Into Core Business Classes, Shota Yasuda, Rohit Gibson, Will Smith, Beau Wilkins, Blair Dilbeck, Jamari Baker

Symposium of Student Scholars

The business college’s new 3D lab, launched in August 2021, has been providing 3D design and 3D printing workshops for core business classes, specifically IS 2200 and IS 3100, to allow students to experiment with additive manufacturing, more commonly known as 3D printing. In the age of digital transformation, it is more important than ever that business school graduates are exposed to these emerging technologies, learn from experimentation, and develop a foundational understanding of these technologies so that they are better prepared to innovate and lead once they have graduated.

The idea of the 3D printing workshops is that a …

Machine Learning-Oriented Predictive Maintenance (Pdm) Framework For Autonomous Vehicles (Avs): Adopting Blockchain For Pdm Solution, Md Jobair Hossain Faruk, Hossain Shahriar, Maria Valero

Symposium of Student Scholars

Autonomous Vehicles (AVs) refers to smart, connected and multimedia cars with technological megatrends of the fourth industrial revolution (Industry 4.0) and have gained huge strive in today's world. AVs adopt automated driving systems (ADS) technique that permits the vehicle to manage and control driving points without human drivers by utilizing advanced equipment including a combination of sensors, controllers, onboard computers, actuators, algorithms, and advanced software embedded in the different parts of the vehicle. These advanced sensors provide unique inputs to the ADS to generate a path from point A to point B. Ensuring the safety of sensors by limiting maintenance …

Analysis Of The Internal Delays Of Various Wireless Technologies For Autonomous Vehicle Applications, Luanne Seaman

Symposium of Student Scholars

Analysis of the Internal Delays of Various Wireless Technologies for Autonomous Vehicle Applications

Poster Presentation Undergraduate Student: Luanne Seaman

Research Mentor: Dr. Billy Kihei

Autonomous vehicles use VANETs (vehicular ad-hoc networks) to communicate with the world around them. Despite the simple premise, VANETs rely on a variety of wireless technologies depending on range, internal delay, urgency of information, and other factors. Therefore, VANET algorithms will need to weigh these elements accordingly. Through this research, I hope to contribute reliable measurements of internal delay to reduce the algorithms’ complexity. To calculate internal delay, I connected two Arduinos to a STM32 Nucleo …

Benchmark Of Clustering Techniques And Potential Applications To Polymer Material Science, Rachel Drake

Liberty University Research Week

Undergraduate

Applied

Synthesizing Maritime Interaction Scenarios For Testing Autonomy, Benjamin E. Hargis, Yiannis E. Papelis

Modeling, Simulation and Visualization Student Capstone Conference

This paper presents a method to deterministically synthesize maritime traffic interactions that can be presented to a system under test regardless of the state of the system under test. A background to the problem is given and the method is briefly outlined. Results indicate that the approach can enable more robust evaluation of maritime autonomous algorithms.

A Discussion On Supplier Selection Modeling Approaches, Sheida Etemadidavan, Andrew J. Collins

Modeling, Simulation and Visualization Student Capstone Conference

Supplier selection is a subfield of supply chain management that involves multiple steps in order for decision-makers to find suitable suppliers. Supplier selection is important as it could influence the whole company positively or negatively. It has, recently, become a topic of interest because of the recent pandemic and its effect on the global supply chain, which causes supply shortages. As such, the focus of this paper is on characteristics of decision-making modeling approaches, specifically agent-based modeling and multi-agent systems, in supplier selection, as its modeling has always been a challenge for companies due to its complex nature.

Engaging Human-In-The-Loop For Autonomous Vehicle Simulation, John Di Battista, Christian Johnston, Valerie Randall, Jackson Shanahan

Modeling, Simulation and Visualization Student Capstone Conference

Many autonomous vehicles are still in the development phase due to limited research and testing and will take a considerable amount of time to further develop before they are ready for public release. The main objective of this study is to introduce a human-in-the-loop simulation framework for supporting autonomous vehicle research. Our proposed simulation framework aims to facilitate AV assessment by providing a safer and more efficient way. Functionally, it is focused on the understanding of AVs’ operations in the presence of pedestrian users. The developed simulation framework allows a human pedestrian avatar to be integrated into the high-fidelity 3D …

Risk-And-Resiliency-Intelligent Supply Chain (Rrisc), Ahmad A. Abdelnabi, Ahmed M. Abdelmagid, Ghaith Rabadi, Andres Sousa-Poza, C. Ariel Pinto

Modeling, Simulation and Visualization Student Capstone Conference

This work proposes a risk-and-resiliency-intelligent supply chain (RRiSC) tool which is an SC risk management framework that leverages cutting-edge technologies in Artificial Intelligence (AI), Big Data Analytics (BDA), and Digital Twins (DT) to develop specific capabilities for SC risk management. RRiSC is a convergence of mature tools and techniques embedded in three modules: Modeling, Simulation, and Visualization – all together integrate the optimization, simulation, and data analytics to test the performance of the whole supply network under different scenarios through measuring the vital KPIs, identifying the vulnerabilities, and setting proactive plans to diminish risks consequences.

Deapsecure Computational Training For Cybersecurity: Third-Year Improvements And Impacts, Bahador Dodge, Jacob Strother, Rosby Asiamah, Karina Arcaute, Wirawan Purwanto, Masha Sosonkina, Hongyi Wu

Modeling, Simulation and Visualization Student Capstone Conference

The Data-Enabled Advanced Training Program for Cybersecurity Research and Education (DeapSECURE) was introduced in 2018 as a non-degree training consisting of six modules covering a broad range of cyberinfrastructure techniques, including high performance computing, big data, machine learning and advanced cryptography, aimed at reducing the gap between current cybersecurity curricula and requirements needed for advanced research and industrial projects. By its third year, DeapSECURE, like many other educational endeavors, experienced abrupt changes brought by the COVID-19 pandemic. The training had to be retooled to adapt to fully online delivery. Hands-on activities were reformatted to accommodate self-paced learning. In this paper, …

Putin And Putnam: Interpreting Russian Military Activity Through A Three Player, Two-Level Game, Nathan M. Colvin

Modeling, Simulation and Visualization Student Capstone Conference

Is Vladimir Putin a bad strategist, perhaps irrational? Previous military activity by Russia, such as the annexation of Crimea of 2014, yielded limited international gains, at a significant economic and reputational cost. Yet as the 2022 invasion of Ukraine shows, Putin is willing to commit military power, despite the cost of sanctions and other possible retaliation. This three-player simultaneous game, originally created in June, 2021, demonstrates how domestic and international considerations of President Vladimir Putin might lead to otherwise unpredictable Russian military behavior. In this extended version of Robert Putnam’s “two-level game,” President Putin rationally uses the international venue as …

Medical Manikin Augmented Reality Simulation (M2ars), Pauline Delacruz, Jacob Gibson, Daniel Howard, Jaclyn Peacock, Kendall Robbins

Modeling, Simulation and Visualization Student Capstone Conference

The Medical Manikin Augmented Reality Simulation (M2ARS) is an augmented reality simulation application built for the Microsoft HoloLens 2 that uses the principles of anatomy transfer to overlay human anatomical structures onto a medical manikin digitally. These structures currently consist of the skeletal, muscular, and circulatory systems. In addition, a model of the lungs and an animated heart are also available within the simulation. M2ARS allows the user to view these structures in a manner that is both visually and spatially accurate to the human body. This application contains two modes; an augmented reality mode, which uses a manikin, and …

Real-Time External Labeling For Interactive Visualization In Virtual Environments, Shan Liu, Yuzhong Shen

Modeling, Simulation and Visualization Student Capstone Conference

A real-time external labeling algorithm has been developed to explore the potential for applying annotation and visualization to virtual reality environments, which manages label placement in the projections of virtual 3D models on the view plane. The approach intends to place labels with visual constraints, such as no overlapping, intersections, and occlusions, close proximity to the model parts, by adjusting external annotations' positions concerning available space in the view plane. This algorithm is based on the projected model's contour and adapts to camera viewpoint changes within interactive frame rates. It solves the visibility problem of annotations and operates in real-time …

A Preliminary Comparative Study Of Molecular Visualization Software For Education, Ruoming Shen

Modeling, Simulation and Visualization Student Capstone Conference

Chemistry and biology are sciences vital for understanding metabolic processes, developing disease treatments, and improving environmental conditions. With extensive knowledge of biochemistry, we can take advantage of a material’s unique chemical composition and properties in various applications. Visualization software is essential for analyzing complex chemical and biological structures and predicting their interactions with each other. This paper presents a preliminary study of three open source molecular visualization software tools - Visual Molecular Dynamics (VMD), Jmol, and Mol*, and evaluates their strengths and deficiencies. This paper utilizes the March Molecule of the Month, Vascular Endothelial Growth Factor (VEGF), from the Protein …

Multi-Modality Breast Mri Segmentation Using Nn-Unet For Preoperative Planning Of Robotic Surgery Navigation, Motaz Alqaoud, John Plemmons Md, Eric Feliberti Md, Facs, Krishnanand Kaipa, Siqin Dong, Gabor Fichtinger, Yimming Xiao, Michel Audette

Modeling, Simulation and Visualization Student Capstone Conference

Segmentation of the chest region and breast tissues is essential for surgery planning and navigation. This paper proposes the foundation for preoperative segmentation based on two cascaded architectures of deep neural networks (DNN) based on the state-of-the-art nnU-Net. Additionally, this study introduces a polyvinyl alcohol cryogel (PVA-C) breast phantom based on the segmentation of the DNN automated approach, enabling the experiments of navigation system for robotic breast surgery. Multi-modality breast MRI datasets of T2W and STIR images were acquired from 10 patients. Segmentation evaluation utilized the Dice Similarity Coefficient (DSC), segmentation accuracy, sensitivity, and specificity. First, a single class labeling …

Rapid Development Of Advanced Virtual Labs For In-Person And Online Education, Yiyang Li, Pauline Delacruz, Yuzhong Shen

Modeling, Simulation and Visualization Student Capstone Conference

This abstract discusses methodologies and preliminary findings on rapid development of advanced virtual labs using modeling and simulation for in-person and online education, including rapid generation of virtual environment, integration of state-of-the-art industry leading software tools, advanced software design techniques that enables large scale software reuse, and innovative user interface design that facilitate the configuration and use of virtual labs by instructors and students. The latest design and development of the virtual lab for electronic circuits is presented.

Senior Subject Gait Analysis Using Self-Supervised Method, Haben Yhdego, Michel Audette

Modeling, Simulation and Visualization Student Capstone Conference

There are many issues regarding the technology used for fall detection gait analysis in the geriatric center of senior patients. The fall detection system used should examine the privacy of the patients and the flexibility of the system. Several researchers have developed fall detection using wearable sensors due to their flexibility and nature of privacy. Most of those developed methods are supervised deep learning methods. However, data annotation is expensive because we use camera video recording and playback of each participant’s recorded video to label the data. Moreover, labelling using a camera recording limits the flexible and private nature of …

Implementing Virtual Reality Technology For Supporting Autonomous Vehicle-Pedestrian Behavioral And Interaction Research, Zizheng Yan

Modeling, Simulation and Visualization Student Capstone Conference

The deployment of autonomous vehicles (AVs) has been expected to significantly reshape traffic safety on roads. However, there is still a relatively long journey to achieve high-level autonomy and the safety level of interaction between AVs and vulnerable road users (e.g., pedestrians, cyclists, or passengers) is still unclear due to very limited data and field tests. The main objective of this paper is to propose a high-fidelity human-in-the-loop simulation that is capable of supporting AV-pedestrian interactions by coupling an advanced AV simulator with virtual reality technology. The prototype of the extended simulation framework has been developed and demonstrated with experimental …

Is Explainability Always Necessary? Discussion On Explainable Ai, Gayane Grigoryan, Andrew J. Collins

Modeling, Simulation and Visualization Student Capstone Conference

The explainability of a model has been a topic of debate. Some research states explainability is unnecessary, and some ”white-box” models, such as regression models or decision trees, are inherently explainable. This paper conducts a multiple regression model analysis with highly correlated features to illustrate how the model’s explainability fails when dealing with complex data. In this case, trusting the model explanations can be problematic. The Shapley net effect technique, which helps determine the marginal contribution of the features, is employed to improve the model explainability and reveal more information about the prediction. The work concludes that explainability is necessary …

Applications Of Parallel Discrete Event Simulation, Erik J. Jensen

Modeling, Simulation and Visualization Student Capstone Conference

This work presents three applications of parallel discrete event simulation (PDES), which describe the motivation for and the benefits of using PDES, the kinds of synchronization algorithms that are used, and scaling behavior with these different synchronization algorithms.

From 2d Images To 3d Virtual Reality: A Digital Application In Cultural Heritage, Garrett Ronny Hucks

Undergraduate Research Competition

The digital documentation and preservation of historic and cultural sites are urgent needs for local governments due to concerns regarding structural damage and deterioration over the long term. With new technologies like augmented reality (AR), virtual reality (VR), and mixed reality (MxR), enabling 3D, immersive, virtual experiences become feasible. In this poster presentation, we outline a novel methodology that allows site owners to capture, digitally preserve, and then view these historic sites in the virtual environment. To this end, 2D photographs of a historic site are first taken and then generated into a 3D point cloud in Agisoft. Thereafter, we …

In Pursuit Of A Universal High Performance Computing Optimization Methodology, Reid Prichard

Liberty University Research Week

Doctoral

Applied

Let's Get Serious About It: Plastic-Free Campus Initiative, Geoffrey Kain, Camdyn Doucette, Regan Bossie

Sustainability Conference

On February 23, 2022, the UN agreed to start negotiating a world-first global treaty on plastic waste--since nearly 200 nations unanimously agreed to move toward a legally binding plastics treaty by 2024. In 2019 the UN Environmental Programme report highlighted that "our world is drowning in plastic." As with the climate change crisis (to which plastics production and disposal are also linked), the data resoundingly illustrate the imminent systemic threat that disposable plastics pose to the world's seas, freshwater sources, soils, food supply, air, and species. Nevertheless, plastics production is predicted to rise dramatically over the next 20 years, with …

The Music Bluetooth Controller: An Intersection Between Music And Technology, Lydia Wu, Eli Best

Liberty University Research Week

Undergraduate

Applied

In Pursuit Of A Universal High Performance Computing Optimization Methodology, Reid Prichard

Liberty University Research Week

Doctoral

Applied

Reducing Computational Cost Of Industrial Cfd Through Fuzzy Logic-Pid Control Methods, Eric Turman

Liberty University Research Week

Graduate

Applied

New Methods For The Control, Study, Upscaling, And Industrialization Of Surface Nanocrystallization, Samuel Scott

Liberty University Research Week

Graduate

Applied

Earth’S Catastrophic Mantle Convection Simulations During The Genesis Flood Using Terra2d And Internal State Variable Viscoelasticity Model, Daeeui Hong

Liberty University Research Week

Undergraduate

Applied

Cyber-Physical Systems For Smart Manufacturing Education, Carson Farmer

Liberty University Research Week

Doctoral

Applied

Developing A Heat Transfer Model To Predict Coalescence Of Titanium Powder, Ryan Pritzkau

Liberty University Research Week

Undergraduate

Applied

Room Temperature Mechanical Properties Of Exfoliated Graphite Reinforced Epoxy Composites, Arianna Verbosky

Liberty University Research Week

Undergraduate

Applied