Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Astrophysics and Astronomy (5)
- Computer Sciences (5)
- Oceanography and Atmospheric Sciences and Meteorology (5)
- Meteorology (4)
- Atmospheric Sciences (3)
-
- Data Science (3)
- Applied Mathematics (2)
- Artificial Intelligence and Robotics (2)
- Climate (2)
- Engineering (2)
- Instrumentation (2)
- Numerical Analysis and Computation (2)
- Numerical Analysis and Scientific Computing (2)
- Stars, Interstellar Medium and the Galaxy (2)
- Statistics and Probability (2)
- The Sun and the Solar System (2)
- Applied Statistics (1)
- Aviation (1)
- Cosmology, Relativity, and Gravity (1)
- Databases and Information Systems (1)
- Electrical and Computer Engineering (1)
- Food Biotechnology (1)
- Food Science (1)
- Life Sciences (1)
- Management and Operations (1)
- Nuclear (1)
- Nuclear Engineering (1)
- Oceanography (1)
- Other Applied Mathematics (1)
- Keyword
-
- Aircraft Performance (1)
- Airport construction (1)
- Alderamin (1)
- Alkaid (1)
- Altair (1)
-
- Applied Mathematics (1)
- Astronaut (1)
- Autonomous Vehicles (1)
- Barotropic Vorticity Equation (1)
- Big data (1)
- Caph (1)
- Cepheids (1)
- Classification (1)
- Climate Change (1)
- Data mining (1)
- Data science (1)
- Diet (1)
- Doppler shift (1)
- Embry-Riddle (1)
- Flooding (1)
- Florida (1)
- Foster care (1)
- Foster home (1)
- Fundamental parameters (1)
- Global spectral (1)
- Hispanic (1)
- Hydroponics (1)
- IDPs (1)
- ITCZ (1)
- Instability Strip (1)
Articles 1 - 15 of 15
Full-Text Articles in Physical Sciences and Mathematics
Reu-Deim Classification Of Hispanic Voters In Hispanic Groups Using Name And Zip Code Data In Palm Beach, Florida, Kamila Soto-Ortiz
Reu-Deim Classification Of Hispanic Voters In Hispanic Groups Using Name And Zip Code Data In Palm Beach, Florida, Kamila Soto-Ortiz
Beyond: Undergraduate Research Journal
When it comes to registering to vote, Hispanic voters can only register as “Hispanic” in the “Race/Ethnicity” category, causing difficulties when analyzing voting trends amongst the Hispanic community. Upon the recent idea that not all Hispanic Groups vote the same, the goal is to create a model that can possibly identify a voter’s Hispanic Group with the information provided on the public Florida voter file. This is accomplished using name and zip code data for all voters in Palm Beach, Florida. This paper will explore the model implemented, its findings and limitations. Palm Beach, Florida, is met with low confidence …
Stellar Atmosphere Models For Select Veritas Stellar Intensity Interferometry Targets, Jackson Ladd Sackrider, Jason P. Aufdenberg, Katelyn Sonnen
Stellar Atmosphere Models For Select Veritas Stellar Intensity Interferometry Targets, Jackson Ladd Sackrider, Jason P. Aufdenberg, Katelyn Sonnen
Beyond: Undergraduate Research Journal
Since 2020 the Very Energetic Radiation Imaging Telescope Array System (VERITAS) has observed 48 stellar targets using the technique of Stellar Intensity Interferometry (SII). Angular diameter measurements by VERITAS SII (VSII) in a waveband near 400 nm complement existing angular diameter measurements in the near-infrared. VSII observations will test fundamental predictions of stellar atmosphere models and should be more sensitive to limb darkening and gravity darkening effects than measurements in the near-IR, however, the magnitude of this difference has not been systematically explored in the literature. In order to investigate the synthetic interferometric (as well as spectroscopic) appearance of stars …
Evaluating The Variable Stride Algorithm In The Identification Of Diabetic Retinopathy, Ying Zheng, Brian Danaher, Matthew Brown
Evaluating The Variable Stride Algorithm In The Identification Of Diabetic Retinopathy, Ying Zheng, Brian Danaher, Matthew Brown
Beyond: Undergraduate Research Journal
An experiment was performed to investigate a modified pooling method for use in convolutional neural networks for image recognition. This algorithm–Variable Stride–allows the user to segment an image and change the amount of subsampling in each region. This control allows for the user to maintain a higher amount of data retention in more important regions of the image, while more aggressively subsampling the less important regions to increase training speed. Three Variable Stride methods were compared to the preexisting pooling algorithms, Maximum Pool and Average Pool, in three different network configurations tasked with classifying Diabetic Retinopathy images between its early …
Hydroponically Growing A Holistic Superfood Diet For Mars Exploration, Marianna Pezzella, Ruben A. Rosa Polonia
Hydroponically Growing A Holistic Superfood Diet For Mars Exploration, Marianna Pezzella, Ruben A. Rosa Polonia
Beyond: Undergraduate Research Journal
In “Hydroponically Growing a Holistic Superfood Diet for Mars Exploration,” Project H.O.M.E. members conducted an experiment to help determine ways to provide future astronauts with a complete, balanced diet on a planet that does not receive as much sunlight as Earth. Sending massive amounts of food into space is incredibly expensive, takes up valuable spacecraft area, and is, overall, not a feasible way to provide astronauts with sustenance. Project H.O.M.E. has thus developed a hydroponic system to evaluate the growth and yield of various superfoods - including Moringa Oleifera, goji berries, and kale - under simulated Mars lighting conditions. Data …
Computational Models To Detect Radiation In Urban Environments: An Application Of Signal Processing Techniques And Neural Networks To Radiation Data Analysis, Jose Nicolas Gachancipa
Computational Models To Detect Radiation In Urban Environments: An Application Of Signal Processing Techniques And Neural Networks To Radiation Data Analysis, Jose Nicolas Gachancipa
Beyond: Undergraduate Research Journal
Radioactive sources, such as uranium-235, are nuclides that emit ionizing radiation, and which can be used to build nuclear weapons. In public areas, the presence of a radioactive nuclide can present a risk to the population, and therefore, it is imperative that threats are identified by radiological search and response teams in a timely and effective manner. In urban environments, such as densely populated cities, radioactive sources may be more difficult to detect, since background radiation produced by surrounding objects and structures (e.g., buildings, cars) can hinder the effective detection of unnatural radioactive material. This article presents a computational model …
A Nature-Inspired Approach For Scenario-Based Validation Of Autonomous Systems, Quentin Goss, Mustafa Akbas
A Nature-Inspired Approach For Scenario-Based Validation Of Autonomous Systems, Quentin Goss, Mustafa Akbas
Beyond: Undergraduate Research Journal
Scenario-based approaches are cost and time effective solutions to autonomous cyber-physical system testing to identify bugs before costly methods such as physical testing in a controlled or uncontrolled environment. Every bug in an autonomous cyber-physical system is a potential safety risk. This paper presents a scenario-based method for finding bugs and estimating boundaries of the bug profile. The method utilizes a nature-inspired approach adapting low discrepancy sampling with local search. Extensive simulations demonstrate the performance of the approach with various adaptations.
Determining The Sources Of The Zodiacal Cloud Using Relative Velocities Of Dust Particles From High-Resolution Spectroscopy, Philip B. Mann Iii
Determining The Sources Of The Zodiacal Cloud Using Relative Velocities Of Dust Particles From High-Resolution Spectroscopy, Philip B. Mann Iii
Beyond: Undergraduate Research Journal
The zodiacal cloud is the Solar System debris disk in which the Earth’s orbit is located. The dust that comprises the cloud comes from cometary, asteroidal, interstellar, and other source populations, but the relative ratios have proven hard to determine. However, asteroidal and cometary particles typically have different types of orbits, with asteroidal particles having more circular and lower inclination orbits than cometary particles. Accordingly, the relative velocities of these groups of particles with respect to Earth are also different, and measurements of these relative velocities can help distinguish between the sources. The spectrum of the zodiacal light contains solar …
Cepheid Variable Light Curve Analysis On The Embry-Riddle 1-Meter Telescope, Kayla Taylor
Cepheid Variable Light Curve Analysis On The Embry-Riddle 1-Meter Telescope, Kayla Taylor
Beyond: Undergraduate Research Journal
This report details light curve analysis for four Cepheid variable stars (Polaris, RT Aurigae, RX Aurigae, and Zeta Geminorum) using Embry-Riddle Aeronautical University's 1-meter reflecting telescope and a SBIG-STX 16803 camera with a g filter. Observations were conducted once per week during the Spring 2021 semester; at least one three-hour shift was allotted per week according to the Observational Astronomy Telescope Allocation Committee (TAC). Individual light curves for each target Cepheid were then compared to published data to analyze evidence of evolution on the Instability Strip. Although the light curves showed the sinusoidal nature of brightness oscillations, amplitudes of the …
The Development And Evaluation Of The Atlantic Tropical Cyclone Intensification Regression Model (Atcirm), Bruno Platero Huarcaya, Lexi Cruz
The Development And Evaluation Of The Atlantic Tropical Cyclone Intensification Regression Model (Atcirm), Bruno Platero Huarcaya, Lexi Cruz
Beyond: Undergraduate Research Journal
Operational track forecasts of Tropical Cyclones (TCs) have been improved substantially in recent years and nowadays are sufficiently accurate. However, intensity forecasts have not shown similar improvements, especially for rapidly intensifying storms. The improvement of intensity forecast accuracy can help authorities in risk management and decision making to prevent loss of life and property. The purpose of our project is to develop a statistical linear regression model that provides better predictions for TC intensification over the ocean. Here, different predictor variables are studied, and 2011-2017 Atlantic basin storms are investigated. The final set of predictor variables selected for the model …
How Airport Construction Will Evolve With The Increased Effects Of Climate Change, Xavier M. Ashley
How Airport Construction Will Evolve With The Increased Effects Of Climate Change, Xavier M. Ashley
Beyond: Undergraduate Research Journal
This report addressed the effects rising global temperatures resulting from climate change have had on flight operations in their entirety. The research objective was to discover what methods could enhance climate adaptation in airport construction, as higher mean-surface temperatures have an increasingly negative effect on aircraft performance. The findings would primarily be of interest to the Federal Aviation Administration (FAA) Primary Office presiding over the planning and development of airports. Overall, the report provided a comprehensive analysis of global warming’s effects on aviation, including the implications of degraded aircraft performance and sea-level rise for coastal airports. Additionally, it examined comparative …
Data Mining And Machine Learning To Improve Northern Florida’S Foster Care System, Daniel Oldham, Nathan Foster, Mihhail Berezovski
Data Mining And Machine Learning To Improve Northern Florida’S Foster Care System, Daniel Oldham, Nathan Foster, Mihhail Berezovski
Beyond: Undergraduate Research Journal
The purpose of this research project is to use statistical analysis, data mining, and machine learning techniques to determine identifiable factors in child welfare service records that could lead to a child entering the foster care system multiple times. This would allow us the capability of accurately predicting a case’s outcome based on these factors. We were provided with eight years of data in the form of multiple spreadsheets from Partnership for Strong Families (PSF), a child welfare services organization based in Gainesville, Florida, who is contracted by the Florida Department for Children and Families (DCF). This data contained a …
Comparison Of Terrain Effects In Divergent Versus Non-Divergent Barotropic Models, Tyler E. Green, Thomas A. Guinn
Comparison Of Terrain Effects In Divergent Versus Non-Divergent Barotropic Models, Tyler E. Green, Thomas A. Guinn
Beyond: Undergraduate Research Journal
The effects of including terrain in divergent and non-divergent, single-level barotropic models are examined in detail using a global spectral model. The non-divergent model solves the barotropic vorticity equation, while the divergent model solves the shallow water equations. In both models, the impact of terrain is evaluated by examining the evolution of the predicted heights of a pressure surface. Four simulations with initially zonal flow were run for each model using a two-dimensional Gaussian mountain shape for terrain, with two different mean fluid depths of 5,000 m and 7,500 m, and two different peak mountain heights of 2,000 m and …
Automation And Enhancements To The Erau Oscom System Space Situational Awareness, Sergei Bilardi, Patrick Rupp, Yevgeniy Lischuk, Joseph Stroup
Automation And Enhancements To The Erau Oscom System Space Situational Awareness, Sergei Bilardi, Patrick Rupp, Yevgeniy Lischuk, Joseph Stroup
Beyond: Undergraduate Research Journal
OSCOM, Optical tracking and Spectral characterization of CubeSats for Operational Missions, is a system developed at Embry-Riddle Aeronautical University to produce time-resolved photometry of small satellites using commercial-off-the-shelf hardware. OSCOM has been able to observe resident space objects (RSOs) as small as CubeSats using a Celestron 11” RASA and a CMOS machine vision camera from Allied Vision. By obtaining photometric measurements of satellites, a light curve can be constructed and used to help determine satellite characteristics such as spin rate, satellite state, and even satellite attitude. To enhance the OSCOM system’s ability to observe small satellites, there is ongoing development …
A Diagnostic Metric For Predicting Tropical Cyclone And Mid-Latitude Floods, Jonathon Klepatzki, Shawn M. Milrad
A Diagnostic Metric For Predicting Tropical Cyclone And Mid-Latitude Floods, Jonathon Klepatzki, Shawn M. Milrad
Beyond: Undergraduate Research Journal
This study details a dynamic and thermodynamic metric (i.e., Extreme Flood Index [EFI]) designed to diagnose the frequency and intensity of extreme precipitation events associated with stagnant mid-latitude flow patterns (i.e., Rex blocks). As the global climate warms, rapid Arctic warming may be helping to slow the mid-latitude westerly jet stream, resulting in increased mid-latitude flow stagnation. The combination of long-duration ascent associated with easterly winds and warm moist air increases the severity of extreme precipitation events; as such, the EFI is specifically designed to detect this potent combination of ingredients. In 2013, a Rex block stalled a low-pressure system …
Breakdown Of Itcz-Like Pv Patterns, Ajay Raghavendra, Thomas A. Guinn
Breakdown Of Itcz-Like Pv Patterns, Ajay Raghavendra, Thomas A. Guinn
Beyond: Undergraduate Research Journal
The Inter-Tropical Convergence Zone (ITCZ) is a zonal belt of intense convection, responsible for the genesis of over 80% of all tropical cyclones. This region of intense diabatic heating and shear results in a maximum of Ertel's potential vorticity (PV) meeting Rayleigh's necessary condition for barotropic instability. A fundamental issue is understanding the necessary precursor events leading to the breakdown of the ITCZ and subsequent formation of tropical cyclones. Our research examines the non-linear PV dynamics of the breakdown of both finite-length and infinite-length vorticity strips of varying widths and shapes, simulating the ITCZ found near the tropical eastern Pacific …