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Physical Sciences and Mathematics Commons™
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Articles 1 - 8 of 8
Full-Text Articles in Physical Sciences and Mathematics
2-(51, 6, 1) Block Designs, Wenting Zhao, Mark Liffiton. Faculty Advisor
2-(51, 6, 1) Block Designs, Wenting Zhao, Mark Liffiton. Faculty Advisor
John Wesley Powell Student Research Conference
No abstract provided.
Parallel Infeasibility Analysis, Wenting Zhao, Mark Liffiton, Faculty Advisor
Parallel Infeasibility Analysis, Wenting Zhao, Mark Liffiton, Faculty Advisor
John Wesley Powell Student Research Conference
Oral presentation abstract.
Contact Angle Measurement, Wenting Zhao, Mark Liffiton, Faculty Advisor
Contact Angle Measurement, Wenting Zhao, Mark Liffiton, Faculty Advisor
John Wesley Powell Student Research Conference
The Contact angle, where a liquid/vapor interface meets a solid surface[wiki], has been widely used to measure the wettability of a surface in physics and chemistry. Scientists place a drop on a surface of interest, take an image of the drop in profile, and measure the angle the drop makes with the surface. We have developed a Contact Angle Measurement plugin for the ImageJ image analysis framework, which provides researchers a easier way to access experiment data. The major goal of our algorithm is to automatically detect drops and surfaces via image analysis, so that we can calculate the contact …
Elitist Schema Overlays: A Multi-Parent Genetic Operator, Nick Nichols, Mark Liffiton, Faculty Advisor
Elitist Schema Overlays: A Multi-Parent Genetic Operator, Nick Nichols, Mark Liffiton, Faculty Advisor
John Wesley Powell Student Research Conference
Genetic Algorithms are programs inspired by natural evolution used to solve difficult problems in Mathematics and Computer Science. The theoretical foundations of Genetic Algorithms, the schema theorem and the building-block hypothesis, state that the success of Genetic Algorithms stems from the propagation of fit genetic subsequences. Multi-parent operators were shown to increase the performance of Genetic Algorithms by increasing the disruptivity of genetic operations. Disruptive genetic operators help prevent suboptimal genetic sequences from propagating into future generations, which leads to an improved fitness for the population over time. In this paper we explore the use of a novel multi-parent genetic …
Monte Carlo Simulations Of Electron Scattering Experiments, Alan Russian, Bruno Deharak, Faculty Advisor, Mark Liffiton, Faculty Advisor
Monte Carlo Simulations Of Electron Scattering Experiments, Alan Russian, Bruno Deharak, Faculty Advisor, Mark Liffiton, Faculty Advisor
John Wesley Powell Student Research Conference
This project aims to look at the impact made by certain approximations in electron scattering experiments—specifically whether accounting for these approximation errors is necessary. When using a moveable gun mount, the interaction volume can be determined using a line and cylinder approximation. Data is presented comparing this approximation to the actual volume computed using a Monte Carlo method. A uniform gas distribution is compared to a cosine-squared distribution gas distribution. Additionally, an energy spectrum of a uniform beam is compared to a Gaussian beam for various polarization angles, and a comparison is made between representing the beam as a cone …
Optimization And Analysis Of A Robotic Navigational Algorithm, Derek Carlson, Joshua Brown Kramer, Faculty Advisor
Optimization And Analysis Of A Robotic Navigational Algorithm, Derek Carlson, Joshua Brown Kramer, Faculty Advisor
John Wesley Powell Student Research Conference
The problem of robot navigation involves planning a path to move a robot from a start point to a known target point within an obstacle course. The efficiency of such an algorithm can be measured in several ways. For instance, Lumelsky and Stepanov measure the length of the path taken in terms of obstacle perimeters. Gabriely and Rimon compare their two-dimensional algorithm's efficiency to that of the optimal algorithm. Brown Kramer and Sabalka expand upon the work of Gabriely and Rimon to produce an algorithm for dimensions greater than two. The primary objective of this research was to implement improvements …
An Implementation Of A Path Planning Algorithm For A Robot, Maia Czwornog, Joshua Brown Kramer, Faculty Advisor
An Implementation Of A Path Planning Algorithm For A Robot, Maia Czwornog, Joshua Brown Kramer, Faculty Advisor
John Wesley Powell Student Research Conference
No abstract provided.
M-Refinable Extensions Of Real Valued Functions, John Meuser, Tian-Xiao He, Faculty Advisor
M-Refinable Extensions Of Real Valued Functions, John Meuser, Tian-Xiao He, Faculty Advisor
John Wesley Powell Student Research Conference
No abstract provided.