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Articles 1 - 4 of 4
Full-Text Articles in Computational Engineering
Iequity: An Augmented Reality Theatre Production, Amy Pan, Kristina Arnold Dr, Alan White, Truth Tran
Iequity: An Augmented Reality Theatre Production, Amy Pan, Kristina Arnold Dr, Alan White, Truth Tran
Posters-at-the-Capitol
Augmented reality is commonly seen being used in game development and design, typically seen through a mobile device such as a phone. However, it has rarely been tested and pushed to its limits in other settings. The main focus of this project was trying to deploy augmented reality in settings that are seen as more traditional. This will be done by taking a play, pre-written and performed by a professor at Western Kentucky University, and building an augmented reality set for the play in the background. The main software that will be used is Unity and Blender. Unity will be …
Phonetic Algorithm Performance, Aaron Schneidereit
Phonetic Algorithm Performance, Aaron Schneidereit
Senior Honors Projects
AARON SCHNEIDEREIT (Computer Science BS) Phonetic Algorithm Performance Sponsors: Noah Daniels (Computer Science and Statistics) Phonetic Algorithms are used for classifying words based on their pronunciation. These algorithms are used in many text-to-speech technologies and spell-checkers to ensure that a word can be correctly recognized despite minor spelling/pronunciation errors. The process of encoding a word to its phonetic surname is known as Phonetic Matching. Since 1918, there have only been a handful of phonetic algorithms that have been created. The main three algorithms that other phonetic algorithms are built from are Soundex, New York State Identification and Intelligence System (NYSIIS), …
Deep Learning, Medical Physics And Cargo Cult Science., Miguel Romero Phd, Gilmer Valdes Phd, Timothy Solberg Phd, Yannet Interian Phd
Deep Learning, Medical Physics And Cargo Cult Science., Miguel Romero Phd, Gilmer Valdes Phd, Timothy Solberg Phd, Yannet Interian Phd
Creative Activity and Research Day - CARD
Deep learning algorithms have become widely popular, with considerable success in fields where datasets have hundreds of thousands or million points. As deep learning is increasingly applied to the fields of medical physics and radiation oncology, a reasonable question follows: are these techniques the best approach, given the unique conditions in our field? In this study, we investigate the dependence of dataset size on the performance of deep learning algorithms compared with more traditional radiomics-based methods.
The Next Generation Of Wireless Cyber-Physical Simulator, Xinghan Wang, Kevin Xu
The Next Generation Of Wireless Cyber-Physical Simulator, Xinghan Wang, Kevin Xu
Undergraduate Research Symposium Posters
In order to make Wireless Cyber-Physical Simulator(WCPS) more accessible to people in the research community, and also to improve its accuracy of representing real industrial models, we worked on the dockerization of WCPS, and implemented the multi-rate feature for WCPS, enabling the simulator to have different network rate and plant rate when running a simulation. We created a new version of WCPS by dockerizing run-time libraries and the TOSSIM server and also embedding the multi-rate feature in the old version. This report includes the introduction and dockerization of WCPS, and shows the results of using the new generation of WCPS …