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Articles 1 - 3 of 3
Full-Text Articles in Engineering
Applications Of The Guided-Mode Resonance Sensor In Multiparametric, Transmissive, And Picomolar Regimes, Joseph Anthony Buchanan-Vega
Applications Of The Guided-Mode Resonance Sensor In Multiparametric, Transmissive, And Picomolar Regimes, Joseph Anthony Buchanan-Vega
Electrical Engineering Dissertations
Guided-mode resonance (GMR) sensors are developed and implemented for multiparametric label-free sensing, transmission sensing, enhanced reflection sensing, and low analyte concentration sensing; these are the topics presented in this work. The complete biosensor – capable of label-free multiparametric data collection – is designed, fabricated, and implemented. Multiparametric data collection has previously been relegated to one variable on the sensor surface and one bulk media variable. We use a lookup table and the novel application of an inversion algorithm to simultaneously determine two variables on the sensor surface and one bulk media variable. Multiparametric data sets are required to monitor multiple …
Optimal Sizing And Safe Management Of Lithium-Ion Batteries In High Voltage Power Systems, Hayden Lee Atchison
Optimal Sizing And Safe Management Of Lithium-Ion Batteries In High Voltage Power Systems, Hayden Lee Atchison
Electrical Engineering Dissertations
Lithium-ion batteries have gained widespread use in various applications, but safety challenges persist due to errors in assembly and faulty electronics management. Ensuring safety and reliable operation in large batteries containing numerous series/parallel cells demand innovative monitoring technologies. Elevated temperatures resulting from normal or abnormal operation are a major cause of battery failure, necessitating effective temperature monitoring techniques. Similarly, abnormal stress/strain signatures offer valuable diagnostic information. In the study discussed here, the application of a Optical Distributed Sensor Interrogator (ODiSI) employing high-definition fiber optic sensors (HD-FOS) for measuring surface temperature and case deformation of 18650 cells under normal and abnormal …
Model Optimization And Applications In Deep Learning, Chengchen Mao
Model Optimization And Applications In Deep Learning, Chengchen Mao
Electrical Engineering Dissertations
ABSTRACT: Machine learning refers to a machine or an algorithm that draws experience from data. A certain pattern is found to build a model, which is used to solve real problems. Deep learning, an important branch and extension of machine learning, employs a neural network structure containing multiple hidden layers. It learns critical features of the data by combining lower-level features to form more abstract higher-level representations of attribute categories or features. In this dissertation, deep learning network models were applied to sense-through-foliage target detection and extended with Rake structure. The deep learning network models had a large number of …