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Durham School of Architectural Engineering and Construction: Dissertations, Thesis, and Student Research
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Signal Classification Based On Analog Computing Using Mems Network, Mohammad Okour
Signal Classification Based On Analog Computing Using Mems Network, Mohammad Okour
Durham School of Architectural Engineering and Construction: Dissertations, Thesis, and Student Research
The rising complexity of machine learning algorithms and Artificial Intelligence in many applications, such as smart building, has prompted the development of alternate computing options. Because of their compact size, low power consumption, and diverse functionality, microelectromechanical systems (MEMS) have emerged as a possible candidate. This thesis focuses on using MEMS networks as computing units to classify a simple signal classification task using neural network methodology. The study intends to show the potential of using MEMS as an analog computing unit by discussing the advantage of the bi-stability pull-in behavior and hysteresis to create an accurate classifier of these waveforms. …