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Supervised Machine Learning Techniques Applied To Low-Cost Air Quality Sensor Suites, Peter Wahman
Supervised Machine Learning Techniques Applied To Low-Cost Air Quality Sensor Suites, Peter Wahman
All Undergraduate Theses and Capstone Projects
Low-cost PM sensors have garnered interest for their ability to reduce the cost of investigating PM concentrations in both indoor and outdoor spaces. They perform well in high concentration lab testing with correlation coefficients greater than 0.9. In real-world applications, the correlation coefficients drop significantly because of sensing floors and adverse ambient conditions. There are plenty of supervised machine learning techniques that aim to correct the measurements ranging from linear regression to more advanced neural networks and random forests. This work aims to use those more complicated techniques to adjust the measurements using other data sets gathered by a sensor …
Design, Fabrication, And Testing Of A High-Speed, Low-Cost Atomic Force Microscope Housing And Distance Measurement System, Jonathan Menke
Design, Fabrication, And Testing Of A High-Speed, Low-Cost Atomic Force Microscope Housing And Distance Measurement System, Jonathan Menke
All Undergraduate Theses and Capstone Projects
Advances to the state-of-the-art in fields like biology and material science often stand on the foundation of improved imaging. Here a low-cost Atomic Force Microscope (AFM) housing and distance measurement system was designed, fabricated, and tested. The instrument was developed around an Optical Pickup Unit (OPU) and designed for use as part of a high-speed AFM system. A structure to align the OPU with the probe holder was designed to ensure the beam of the OPU is positioned above the probe in addition to accommodating space, manufacturability, and cost constraints by using cost effective components. The designs were fabricated and …