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Articles 5371 - 5378 of 5378
Full-Text Articles in Engineering
Semantic-Weighted Lidar–Camera Slam For Robust Mapping In Vegetation-Rich Environments, David Aigbovboise Akhihiero
Semantic-Weighted Lidar–Camera Slam For Robust Mapping In Vegetation-Rich Environments, David Aigbovboise Akhihiero
Graduate Theses, Dissertations, and Problem Reports (ETD)
Many LiDAR odometry and SLAM methods are lightweight and effective, but they assume that all LiDAR point returns are equally reliable. In practice, this assumption is often violated in vegetation rich or semi transparent environments, where in a single beam footprint, LiDAR beams may intersect multiple scattering surfaces like leaves, branches or glass. These ambiguities in returns produces probabilistic or biased range measurements that violate the assumptions of most geometric registration frameworks and can lead to drift and inconsistency.
To address this challenge, this dissertation proposes a semantic-weighted LiDAR-camera SLAM framework that integrates class dependent weights into a front-end LiDAR …
Ai-Based Smart Proxy Models For Flow Assurance, Integrating Oil Rate Prediction, Pipeline Monitoring, And Leak Detection, Ali Sajedian
Ai-Based Smart Proxy Models For Flow Assurance, Integrating Oil Rate Prediction, Pipeline Monitoring, And Leak Detection, Ali Sajedian
Graduate Theses, Dissertations, and Problem Reports (ETD)
Oil and gas pipeline networks operate under complex multiphase flow conditions and dynamic transient regimes that present significant challenges for traditional monitoring, anomaly detection, and operational decision-making methodologies. Many existing monitoring approaches rely on high-fidelity physics-based transient flow simulations to accurately represent system behavior. However, these models are computationally intensive and therefore difficult to implement in real-time operational environments.
This dissertation presents a physics-guided artificial intelligence framework for intelligent pipeline monitoring and integrity management based on the concept of Smart Proxy Modeling. By integrating first principles engineering knowledge with machine learning techniques, the proposed framework develops computationally efficient surrogate models …
Development Of A 3d-Printed Hemodynamic Model To Characterize Doppler Signatures Of Obstructed Tapvr, Michael R. Turner, Maher R. Saadeh, Holly D. Bauser-Heaton, Vahid Serpooshan
Development Of A 3d-Printed Hemodynamic Model To Characterize Doppler Signatures Of Obstructed Tapvr, Michael R. Turner, Maher R. Saadeh, Holly D. Bauser-Heaton, Vahid Serpooshan
Summer Research Program Abstracts
No abstract provided.
Bioprinted Scaffolds For Investigating Fibroblast Alignment, Lillian Thro, Daeha Joung Ph.D.
Bioprinted Scaffolds For Investigating Fibroblast Alignment, Lillian Thro, Daeha Joung Ph.D.
UROP Posters
Fibroblasts play a vital role in tissue repair, ECM remodeling, and maintaining structural integrity in human tissues. However, their behavior in engineered 3D microenvironments remains poorly understood. Traditional 2D cultures fail to capture the complex cell-cell and cell-matrix interactions that govern fibroblast alignment, migration, and proliferation in vivo. To address this gap, this project uses bioprinted scaffolds that mimic native ECM structures and provide a platform for studying fibroblast behavior in controlled microenvironments. The project focuses on varying scaffold channel properties—such as width, depth, and geometry—to investigate how physical cues influence fibroblast organization and collective migration. A biodegradable gelatin-based ECM …
Infrared Simulation, Sophia Zhou, Ashton Hoo, Tyler Ricks, Sebastian Fox, Kathy Phu
Infrared Simulation, Sophia Zhou, Ashton Hoo, Tyler Ricks, Sebastian Fox, Kathy Phu
UROP Posters
Infrared image recognition is more difficult than visible-spectrum recognition due to limited high-quality training data. This project addresses that challenge by generating simulated infrared images using temperature-driven rendering in Unreal Engine and other 3D software. These simulations can support applications such as health monitoring, heat detection in mechanical and structural systems, thermal regulation, and engineering process control.
Mapping Leo Satellite Internet Performance Using Mobile Starlink Deployment, Annika Govil, Jacob Gray
Mapping Leo Satellite Internet Performance Using Mobile Starlink Deployment, Annika Govil, Jacob Gray
UROP Posters
High-speed, low-latency internet connectivity on the move is a critical challenge for applications in connected vehicles, disaster response, and remote education. While terrestrial networks such as 4G or 5G are widespread, they lack coverage in remote or rural geographic areas.
Low Earth Orbit (LEO) satellite constellations, such as SpaceX's Starlink, promise global high-bandwidth, low-latency internet. However, their performance is well-documented in stationary scenarios, while data for *mobile* applications is scarce. This project explores the feasibility and real-world performance of LEO satellite internet while in motion.
Current research documents the performance of LEO satellite constellations in stationary settings. However, data concerning …
Using Nature-Inspired Sustainable Design Via Biomimicry Of The Peregrine Falcon To Improve The Development Of Japan’S F-X Fighter Jet, Tvisha Datta
UROP Posters
Modern fighter jets face a persistent challenge when it comes to improving aerodynamic efficiency without having to sacrifice high-speed performance or long-term sustainability. These aircraft rely heavily on high thrust and agility, and in doing so, they consume substantial amounts of fuel due to aerodynamic drag and limited energy efficiency. As a result of these constraints, advanced military defense development projects, such as Japan’s Mitsubishi F-X fighter jet program, have been delayed. This highlights the need for more sustainable solutions. Biologically inspired design, or biomimicry, has emerged as a potential and promising alternative. The peregrine falcon, notably the fastest bird …
C.A.S. Full Assessment Report: State Of Florida Government Portal, Delante Clark
C.A.S. Full Assessment Report: State Of Florida Government Portal, Delante Clark
Graduate Scholarship and Creative Works
The purpose of this assessment is to evaluate the cognitive overhead, transparency, and attentional integrity of
official State of Florida digital interfaces using the Cognitive Attentional Standards (C.A.S.) platform.
While the Florida Digital Bill of Rights (FDBR) establishes strict regulatory guardrails for consumer data
transparency, tracking opt-outs, and attentional safeguards, the State of Florida explicitly exempts its own
government agencies, public universities, and non-profit entities from complying with these rules.
This assessment serves to investigate the tension between legislative intent and government execution. By
analyzing public sector websites through the C.A.S. platform, this project will establish a “state-enforced vs.
state-executed” …