Multi-microcontroller sensor data acquisition to enhance UAV attitude control, predictive maintenance, and healthcare solutions
This paper studies multi-microcontroller data acquisition systems in various industries, such as UAV attitude control, predictive maintenance, and healthcare solutions, specifically human-fall detection. We use state-of-the-art microcontrollers, L475 and L485I, from the STM32 family to capture senso...
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my.utm.1076412024-09-25T07:33:03Z http://eprints.utm.my/107641/ Multi-microcontroller sensor data acquisition to enhance UAV attitude control, predictive maintenance, and healthcare solutions Chaudhuri, Prithwish Ray A. Rashid, Rozeha Ejaz, Waleed TK Electrical engineering. Electronics Nuclear engineering This paper studies multi-microcontroller data acquisition systems in various industries, such as UAV attitude control, predictive maintenance, and healthcare solutions, specifically human-fall detection. We use state-of-the-art microcontrollers, L475 and L485I, from the STM32 family to capture sensor data. We propose a five-layered data acquisition architecture, which includes the development of a graphical user interface to make data collection more efficient. We then pre-process the collected data before feeding it to machine learning models and deep neural networks. We use a decision tree classifier for UAV stability control, a gradient boosting classifier for human fall detection, and a multi-layer perceptron classifier for predictive maintenance. The results show the robustness and reliability of the proposed architecture, and it offers promising implications for optimizing maintenance practices, providing safer options, and enhancing patient care. 2023 Conference or Workshop Item PeerReviewed Chaudhuri, Prithwish Ray and A. Rashid, Rozeha and Ejaz, Waleed (2023) Multi-microcontroller sensor data acquisition to enhance UAV attitude control, predictive maintenance, and healthcare solutions. In: 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 12 October 2023-14 October 2023, New York, USA. http://dx.doi.org/10.1109/UEMCON59035.2023.10316083 |
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TK Electrical engineering. Electronics Nuclear engineering Chaudhuri, Prithwish Ray A. Rashid, Rozeha Ejaz, Waleed Multi-microcontroller sensor data acquisition to enhance UAV attitude control, predictive maintenance, and healthcare solutions |
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This paper studies multi-microcontroller data acquisition systems in various industries, such as UAV attitude control, predictive maintenance, and healthcare solutions, specifically human-fall detection. We use state-of-the-art microcontrollers, L475 and L485I, from the STM32 family to capture sensor data. We propose a five-layered data acquisition architecture, which includes the development of a graphical user interface to make data collection more efficient. We then pre-process the collected data before feeding it to machine learning models and deep neural networks. We use a decision tree classifier for UAV stability control, a gradient boosting classifier for human fall detection, and a multi-layer perceptron classifier for predictive maintenance. The results show the robustness and reliability of the proposed architecture, and it offers promising implications for optimizing maintenance practices, providing safer options, and enhancing patient care. |
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Conference or Workshop Item |
author |
Chaudhuri, Prithwish Ray A. Rashid, Rozeha Ejaz, Waleed |
author_facet |
Chaudhuri, Prithwish Ray A. Rashid, Rozeha Ejaz, Waleed |
author_sort |
Chaudhuri, Prithwish Ray |
title |
Multi-microcontroller sensor data acquisition to enhance UAV attitude control, predictive maintenance, and healthcare solutions |
title_short |
Multi-microcontroller sensor data acquisition to enhance UAV attitude control, predictive maintenance, and healthcare solutions |
title_full |
Multi-microcontroller sensor data acquisition to enhance UAV attitude control, predictive maintenance, and healthcare solutions |
title_fullStr |
Multi-microcontroller sensor data acquisition to enhance UAV attitude control, predictive maintenance, and healthcare solutions |
title_full_unstemmed |
Multi-microcontroller sensor data acquisition to enhance UAV attitude control, predictive maintenance, and healthcare solutions |
title_sort |
multi-microcontroller sensor data acquisition to enhance uav attitude control, predictive maintenance, and healthcare solutions |
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2023 |
url |
http://eprints.utm.my/107641/ http://dx.doi.org/10.1109/UEMCON59035.2023.10316083 |
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1811681238010822656 |
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13.211869 |