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Articles 1 - 4 of 4
Full-Text Articles in Engineering
Machine Learning Prediction Of Photoluminescence In Mos2: Challenges In Data Acquisition And A Solution Via Improved Crystal Synthesis, Ethan Swonger, John Mann, Jared Horstmann, Daniel Yang
Machine Learning Prediction Of Photoluminescence In Mos2: Challenges In Data Acquisition And A Solution Via Improved Crystal Synthesis, Ethan Swonger, John Mann, Jared Horstmann, Daniel Yang
Seaver College Research And Scholarly Achievement Symposium
Transition metal dichalcogenides (TMDCs) like molybdenum disulfide (MoS2) possess unique electronic and optical properties, making them promising materials for nanotechnology. Photoluminescence (PL) is a key indicator of MoS2 crystal quality. This study aimed to develop a machine-learning model capable of predicting the peak PL wavelength of single MoS2 crystals based on micrograph analysis. Our limited ability to consistently synthesize high-quality MoS2 crystals hampered our ability to create a large set of training data. The project focus shifted towards improving MoS2 crystal synthesis to generate improved training data. We implemented a novel approach utilizing low-pressure chemical vapor deposition (LPCVD) combined with …
Integrating Unmanned Aerial Systems For Enhanced Wildlife Hazard Assessment In Airport Environments, Savanna Box, Anna Golendukhina, Raymond Ayres, Nicholas Buckalew
Integrating Unmanned Aerial Systems For Enhanced Wildlife Hazard Assessment In Airport Environments, Savanna Box, Anna Golendukhina, Raymond Ayres, Nicholas Buckalew
National Training Aircraft Symposium (NTAS)
Our team has explored the use of Unmanned Aerial Systems (UAS) technologies to develop a concept of operations for data collection during a Wildlife Hazard Assessment. Data have been collected in a farmland area located two nautical miles south of Daytona Beach International Airport (Class C Airspace). The research team has applied and assessed the effectiveness of several Safety Risk Management protocols designed to ensure safe UAS operations during a WHA. The UAS crew has applied drone technologies to visually detect and record wildlife observations, activities, and natural habitats that could attract wildlife to the airport environment, as recommended by …
Multimode Point Spectroscopy For Food Authentication, Sayed Asaduzzaman, Nicholas Mackinnon, Hossein Kashani Zadeh
Multimode Point Spectroscopy For Food Authentication, Sayed Asaduzzaman, Nicholas Mackinnon, Hossein Kashani Zadeh
SDSU Data Science Symposium
Enhancing food quality measurement is a necessity to guarantee food safety and adherence to health regulations. Current methods involve lab testing which are time-consuming, costly, destructive and require skilled workers. Spectroscopy has the potential to overcome these challenges. This study employs a multi-mode point spectroscopy method to distinguish food products according to their spectral characteristics,. The system records fluorescence, excited at 365 and 405 nm, visible-near infrared (Vis-NIR) and short-wave infrared (SWIR) spectra. The three main subjects of the study are olive oil, milk, and honey. Samples were kept in a transparent cell culture pot, and Gray and White Spectralon …
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 …