Matching Items (522)
Description
Hats are commonly worn by people in extreme heat conditions, in a variety of colors and styles. In hot environments with high amounts of incident radiation, people often experience significant thermal discomfort, and conventional wisdom leads many of those people to wear hats to alleviate some of their discomfort. Despite this common practice, the effectiveness of different styles and colors of hats relative to each other has not been thoroughly researched. Hats can have varied impacts on the factors which impact thermal discomfort, including incident radiation, convective heat loss, and evaporative heat loss from sweat. The difference between styles and colors of hats can cause them to have different interactions with these methods of heat transfer, which lead to variance in the total impact on thermal discomfort. This research was conducted in order to create an experimentally justified recommendation for hat selection to limit thermal discomfort in hot and sunny areas.
ContributorsLyons, Caitlyn (Author) / Rykaczewski, Konrad (Thesis director) / Joshi, Ankit (Committee member) / Barrett, The Honors College (Contributor) / Mechanical and Aerospace Engineering Program (Contributor)
Created2025-05
Description
The perfect anti-cheat software for a first person shooter that balances protecting user privacy and effective cheat detection in a modern age where dishonest methods of gameplay are rampant within competitive games. By utilizing the inherent protections servers have against third party attacks, by removing the software off of the client, all of the detection methods are placed in an external area, where cheaters are determined by behavior that is tracked through statistical trackers placed in the game. By measuring multiple key features including Illegal Trace Time, Trigger Time, and Mouse Flick Speed. Each of these measured attributes relate to commonly used cheats in first person shooters, which is the target for this anti-cheat machine learning model. By gathering a wide range of statistics and figuring out the average player’s statistics, it would be possible to determine if a player is using external programs to gain an unfair advantage.
ContributorsKim, James (Author) / Kobayashi, Yoshihiro (Thesis director) / Baek, Jaejong (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2025-05