111-120 of 168 results
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Matrix Analysis and Operator Theory
PI Edward Poon
Matrices and operators are ubiquitous throughout science, engineering, and mathematics; they are the transformations that arise whenever one studies a linear system (or approximates a nonlinear system by a linear one). Examples include rotations and reflections (rigid motions of space), spin operators (quantum mechanics and quantum computing), stress tensors (mechanics), regression and curve fitting (statistics and data analysis), derivatives and linear differential operators (dynamical systems), to name just a few. By studying various properties, relations, and transformations of matrices and operators one may obtain insight into a wide range of phenomena.
Read moreCategories: Faculty-Staff
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UAV-based tools in forest environments
PI Scott Post
Measuring turbulent wind forces in forests to understand the forces on UAVs in flight, with a goal of being able to keep a UAV in position to mm tolerance.
Read moreCategories: Faculty-Staff
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Argumentative Knowledge Construction in Asynchronous Calculus Discussion Boards
PI Zackery Reed
CO-I Darryl Chamberlain
CO-I Karen Keene
Social learning tasks can provide additional cognitive benefits to students. These tasks are necessarily different in an asynchronous environment though. Our proposed study will investigate how instructors can encourage students to socially construct knowledge during asynchronous discussions.
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Aerodynamic Modeling of Ram-Air Parachutes
PI Mark Ricklick
CO-I Richard Anderson
CO-I Angelo Andres Fonseca Pazmino
CO-I Christian Alexis Guzman Zurita
The focus of this project is the investigation in flight performance of ram-air parachutes using Computational Fluid Dynamics (CFD). The modeling of a ram-air parachute presents challenges in the prediction of the in-flight geometry, as there is a strong interaction between the flow field and parachute structure. Methods were developed to approximate the geometry and efficiently model the parachute as a rigid body.
Read moreCategories: Faculty-Staff
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Researching How You Teach Holistic Modeling (RHYTHM)
PI Kelsey Rodgers
CO-I Matthew Verleger
CO-I Lisa Davids
"Models are a critical part of the analysis and design of engineered systems. The purpose of multiple types of models (physical, mathematical, computational, and financial) is to provide a simplified representation of reality that mimics the features of the engineered system, and that predicts the behavior of the system. This project, a collaboration between Embry-Riddle Aeronautical University, San Jose State University, and the University of Louisville, aims to improve engineering students' modeling competence. The project plans to achieve this goal by transforming first-year engineering courses to teach modeling as an engineering tool. The project will change existing course materials, pedagogy, and assessment methods across the three institutions. Each institution will implement its own specific strategy to teach mathematical, physical, computational, and financial modeling, thus providing three different approaches. By comparing student's modeling abilities across the institutions and approaches, the project aims to identify the most impactful approaches for teaching multiple modeling in introductory undergraduate engineering courses.
The project is guided by a "holistic modeling perspective" theoretical framework, that builds on the successful "Models and Modeling Perspective" and "Computational Adaptive Expertise" frameworks. The objectives of the project are to: (1) implement, test, and refine holistic modeling environments for institutions that have flexibility in changing curriculum and for instructors that have different degrees of interest in changing their course(s); (2) implement, test, and refine methods to assess students' modeling abilities; and (3) evaluate and present the results of modeling abilities attained by students at three different universities. A unified language and discussion around modeling will be adopted in all revised courses. An assessment tool to measure students' modeling competence will be developed and implemented at each university. This work builds upon existing research in the development of more easily adaptable and adoptable modeling pedagogies and modeling languages. The following broad research question guides the research: How do students' definitional knowledge, ability to apply, and ability to create models change based on different degrees of modeling integration in the classroom?
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria."
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EXTENDING THE LAUNDERED FUNDS DESTINATION THEORY: APPLYING THE WALKER-UNGER GRAVITY MODEL TO RUSSIAN-BASED MONEY LAUNDERER COUNTRY PREFERENCE FROM 2000-2020
PI Juan Roman
CO-I Thomas Schaefer
CO-I Ana Machuca
Determine Russian-based money launderer destination preferrence.
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A Knowledge-based Consultant for Diagnosing Toxic Exposures
PI Joel Schipper
Joel Schipper of Electrical and Computer Engineering works with the Florida Poison Information Center to develop a knowledge-based system to aid in the timely diagnosis of exposures to unknown toxins.
Read moreCategories: Faculty-Staff Undergraduate
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Transfer and Retention of Training in Real and Virtual Spaceflight Environments
PI Erik Seedhouse
This research compared how effectively suborbital tasks are learned in an actual NBE compared with a VR-rendered NBE. This study demonstrated the efficacy of NBE-type training as a means to improve the effectiveness of training suborbital SFPs.
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An Empirical Study of the Evolution of Homeland Security Definitions in Federal Documents
PI Alexander Siedschlag
CO-I Andrea Jerkovic
This ongoing empirical study (quantitative systematic review) systematically tracks the evolution of official homeland security definitions from related federal strategies, frameworks, guidelines, the Quadrennial Homeland Security Reviews (QHSRs), enterprise agencies’ strategic plans, and pertinent legislation. Continuing and changing ingredients of the sprouting public policy and strategy definition of homeland security will be identified.
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ICARUS Drone Net
PI Samuel Siewert
CO-I Iacopo Gentilini
CO-I Mehran Andalibi
CO-I Stephen Bruder
Drone Net is a conceptual architecture to integrate passive sensor nodes in a local sensor network along with traditional active sensing methods for small Unmanned Aerial Systems traffic management. The goal of the proposed research architecture is to evaluate use of multiple passive sensor nodes integrating Electro-Optical/Infrared and acoustic arrays networked around a UAS Traffic Management operating region (Class G uncontrolled airspace). The Drone Net approach will be compared to and/or used in addition to RADAR and Automatic Dependent Surveillance-Broadcast tracking and identification. We hypothesize that this approach can better manage non-compliant small UAS along with compliant UAS and general aviation in sensitive airspace, urban locations, and geo-fenced regions.
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111-120 of 168 results