Engineering Commons^™

Advancements Of Autonomous Applications, Jessica Massey, Jeremy Evert

Student Research

This material is based upon work supported by the National Aeronautics and Space Administration under Grant Agreement No. 80NSSC20M0114 issued through Oklahoma Space Grant Consortium. This research is in support of the Fire Dawgs competition team for this year’s SpeedFest competition at Oklahoma State University. This NASA OK Space Grant Consortium funded competition team will compete in the Charlie Class, where an autonomous vehicle will navigate a course and put out a fire.

Robots and self-driving vehicles are useful, especially for hazardous jobs, such as firefighting. The use of high-tech sensing technology is a small part of how self-driving vehicles …

A Brief Literature Review For Machine Learning In Autonomous Robotic Navigation, Jake Biddy, Jeremy Evert

Student Research

Machine learning is becoming very popular in many technological aspects worldwide, including robotic applications. One of the unique aspects of using machine learning in robotics is that it no longer requires the user to program every situation. The robotic application will be able to learn and adapt from its mistakes. In most situations, robotics using machine learning is designed to fulfill a task better than a human could, and with the machine learning aspect, it can function at the highest level of efficiency and quality. However, creating a machine learning program requires extensive coding and programming knowledge that can be …

Assistive Robotics And Their Uses During The Pandemic, Thomas Klassen, Jeremy Evert

Student Research

• “Assistive Robotics” defines any device that can sense, process sensory information, and perform actions that benefit people with disabilities.

• This form of technology can be used on a much higher scale with a greater number of uses.

• We have an opportunity to expand the usage of assistive robotics to help combat COVID-19.

Simultaneous Localization And Mapping Analysis, Jacob Miller, Kurtis Clark, Jeremy Evert

Student Research

Objectives

• Simulate virtual robot for test and analysis
• Analyze SLAM solutions using ROS
• Assemble a functional Turtlebot
• Emphasize projects related to current research trajectories for NASA, and general robotics applications

Robot Simulation Analysis, Kurtis Clark, Jacob Miller, Jeremy Evert

Student Research

Objectives

• Build a tutorial targeted to Middle School and High School Students to get ROS running on a Virtual Machine
• Make ROS and it's simulations approachable to middle school and high school students.

Using Supercomputers To Control Multiple Robots, Andrew Roberts, Jeremy Evert

Student Research

Supercomputers have been a key enabler to many technological advancements. The pipeline to develop capable supercomputer users is years long. Getting started with a supercomputer can be difficult. As a part of the XSEDE EMPOWER Learner program, this research focuses super-computer user development. SWOSU students do not have working code for many of the training modules available for learning supercomputing. This research details the development of these codes based on materials provided by the Nation-al Science Foundation, Shodor Foundation, and National Center for Supercomputing Applications. The result of this research is a better understand-ing of supercomputing training and more tools …

Super Education For Supercomputers, Ezgi Gursel, Jeremy Evert

Student Research

Supercomputing (1 OOX more powerful than a desktop) allows organizations to solve complex problems that are not easily studied in any other way (ex. Blue Waters to simulate the known universe since the beginning of time for the design of the James Webb telescope). Producing qualified individuals to take advantage of the growing number of supercomputing jobs is a constant struggle. This poster provides an overview of education in supercomputing, explains how training occurs, and describes some of the key players working to educate a taskforce to deal with these highly complex machines.

Robot Simulation Analysis, Jacob Miller, Jeremy Evert

Student Research

• Simulate virtual robot for test and analysis

• Analyze SLAM solutions using ROS

• Assemble a functional Turtlebot

• Emphasize projects related to current research trajectories for NASA, and general robotics applications

The Catch Partner, Tyler Marr, Cindi Albrightson

Student Research

When improving a skill, the process should be as efficient as possible. Football leagues across the world have the issue when throwing without a partner, quarterbacks must use a net to catch the ball. This demands a process of throw the ball, retrieve the ball, walk back away from the net, and repeat. The time wasted in this process greatly reduces the number of throws made. Players also currently have no means of practicing catching the football without the help of another person. A football net with a passing machine would solve the issue of time and energy being wasted …

Smart Sip, Ethan Owens, Cindi Albrightson

Student Research

The consumption of alcohol has many effects on people, both directly and indirectly. Its no question that when most adults get together for a good time, alcohol will be involved one way or another. However, the over consumption of alcohol can lead to some of the scariest and sometimes fatal results. There are too many people that lose their lives due to drunk driving accidents, or alcohol poisoning each year. No matter how terrifying the risks are of over consuming alcohol, people are still going to go out and take their chances. But what if there were a way to …

Protective Windshield Cover, Kathryn Mcdowell, Cindi Albrightson

Student Research

A broken or cracked windshield caused by debus from strong winds and hailstorms are very common. The goal with this protective windshield cover is that the customer wouldn’t have to worry about having to replace or repair their windshield after a severe storm. It is made out of Nitrile rubber (NBR) foam, which is commonly used in yoga mats; it is very flexible and light weight. Replacing a windshield can be pretty expensive and a hassle. With this product it would make sure they had one less thing to worry about when the storms blow through.

Automatic Landing Gear, Daniel Battles, Cindi Albrightson

Student Research

Airplanes that are equipped with retractable landing gear are typically more desirable by pilots because of the benefits that come from this. There are also cons to having retractable landing gear, and having to remember to retract or extend the gear is one example. A switch on the dashboard must be flipped in order to activate the gear at the right time. In the incident that an airplane lands without the landing gear down, this is referred to as a “Gear up landing”. Gear up landings are usually caused from pilot error, which in many cases means that the pilot …

Threadless Fire Hose Coupling, Jacob Proveaux, Cindi Albrightson

Student Research

Threading a fire hose is not a difficult task to accomplish when there is no pressure, the operator is not donned in full structure firefighting gear and the threads are still like new. However, it is difficult when these factors are applied. That’s when minutes, when seconds count. A house can be fully involved, completely engulfed by flames, in a matter of minutes. Connecting to a hydrant or connecting two hoses together with less than perfect threads is no place to waste valuable seconds while someone’s property is burning. This is where the threadless fire hose coupling concept comes in.

Research Day Abstracts 2018-2019

Student Research

No abstract provided.

A Validation Study Of Time Series Data Forecasting Using Neural Networks, Marco Martinez, Jeremy Evert

Student Research

Artificial Intelligence(AI) is a growing topic in Computer Science and has many uses in real world applications. One application is using Al, or more specifically Neural Networks to model data and predict outcomes. Neural Networks have been used in the past to predict weather changes, create facial recognition software , and to create self-driving cars. Our project is a validation study of, “Modeling Time Series Data With Deep Fourier Neural Networks” by Gashler and Ashmore, 2016. Here we show that a neural network can be trained to be an effective predictor of weather patterns in Alaska over several years. Our …

Cost Benefit Analysis Of Led Vs Florescent Lighting, Kurtis Clark, Phillip Humphrey

Student Research

Over the last few years, the state of Oklahoma has been looking at ways to reduce expenses to address concerns about a budget deficit. There have been efforts made to reduce expenses due to the use of energy. It has been said, when the lights are on, work is getting done. Running lights is therefore the cost of doing business. Our research examines the question, “is there a way to provide better lighting while operating at a lower cost.” This research examines the current lighting at Southwestern State University, primarily fluorescent lighting (FL), and a cost benefit analysis of switching …

Representation Of Characters By Gender Across Video Game Covers Of Different Ratings, Alexandra Cassidy, Aaron Cornell, Emily Burgess, Stephen Burgess, Jeremy Evert

Student Research

This research was in response to the perception that females are under-represented in gaming culture. Pew Research Center (2015) found that both males and females thought more males played video games (60%). However, there is not a statistically significant difference in the percentage of males and females who have ever played video games (50% M 48% F). There is the perception that the advertising and production of video games contribute to the different stereotypes associated with men and women in gaming culture. According to research about gender and video game production, both male and female employees who work in the …

Introducing Hpc To Local High School Curriculums, Madison Matli, Devin Smoot, Jeremy Evert

Student Research

High Performance Computing is a topic that hasn’t been introduced or discussed in most Oklahoma high school curriculums. While students are being pushed to take more general electives, they are missing out on important knowledge pertaining to their field of study. This process usually occurs because students lack access to educational materials or because the school simply does not offer certain specialty courses. Learning high level information at a young age can help students excel in future college courses and research projects. My research is focused on providing Oklahoma high schools with a simplistic High-Performance Computing guide that walks through …