RASPBERRY PI-BASED SENSOR NETWORK FOR MULTI-PURPOSE NONLINEAR MOTION DETECTION IN LABORATORIES USING MEMS
RED DE SENSORES MULTIFUNCIONAL BASADA EN RASPBERRY PI PARA LA DETECCIÓN DE MOVIMIENTO NO LINEAL EN LABORATORIOS USANDO MEMS
DOI:
https://doi.org/10.15446/mo.n65.102641Keywords:
motion sensors, Lagrangean solution, Raspberry Pi, nonlinear measurement system, MEMS (en)sensores de movimiento, solución Lagrangiana, Raspberry Pi, sistema de medición no lineal, MEMS (es)
Downloads
Detecting and measuring the nonlinear evolution of a classical system is a complex process. In this work, the nonlinear evolution of a lab-level system is measured using the Raspberry Pi-based MEMS sensor network system. The evolution and various results of nonlinear systems were compared theoretical and experimentally.
Detectar y medir la evolución no lineal de un sistema clásico es un proceso complejo. En este trabajo, se mide la evolución no lineal de un sistema a nivel de laboratorio utilizando el sistema de red de sensores MEMS basado en Raspberry Pi. La evolución y varios resultados de sistemas no lineales fueron comparados teórica y experimentalmente.
References
E. Upton and G. Halfacree, Meet the raspberry Pi (John Wiley & Sons, 2012). https://books.google.co.in/books?hl=en&lr=&id=C0bZSmKnRK4C&oi=fnd&pg=PT8&dq=Meet+the+raspberry+Pi&ots=LnvXJ9P1Gl&sig=hD0geYnAfRu0fDALbhm_9gspg6M#v=onepage&q=Meet%20the%20raspberry%20Pi&f=false
S. E. Mathe, M. Bandaru, H. K. Kondaveeti, S. Vappangi, and G. S. Rao, in 2022 International Conference on Innovative Trends in Information Technology (ICITIIT) (IEEE, 2022) pp. 1–7. https://ieeexplore.ieee.org/abstract/document/9744152
S. Sengan, O. I. Khalaf, S. Priyadarsini, D. K. Sharma, K. Amarendra, and A. A. Hamad, Int. J. of Reliable and Quality E-Healthcare (IJRQEH) 11, 1 (2022). https://www.igi-global.com/article/smart-healthcare-security-device-on-medical-iot-using-raspberry-pi/289177 DOI: https://doi.org/10.4018/IJRQEH.289177
S. Naik and E. Sudarshan, ARPN J. Eng. Appl. Sci. 14, 872 (2019). http://www.arpnjournals.org/jeas/research_papers/rp_2019/jeas_0219_7629.pdf
S. Vappangi, N. K. Penjarla, S. E. Mathe, and H. K. Kondaveeti, in 2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) (IEEE, 2022) pp. 1–6. https://ieeexplore.ieee.org/abstract/document/9760691
Z. Didi, I. El Azami, and E. M. Boumait, in International Conference on Digital Technologies and Applications (Springer, 2022) pp. 427–434. https://link.springer.com/chapter/10.1007/978-3-031-02447-4_44 DOI: https://doi.org/10.1007/978-3-031-02447-4_44
D. K. Dewangan and S. P. Sahu, IEEE sensors J. 21, 3570 (2020). https://ieeexplore.ieee.org/document/9206567 DOI: https://doi.org/10.1109/JSEN.2020.3027097
S. Natarajan, A. Deepika, I. Pradeeba, and R. Chandramohan, Int Research J Eng and Technol, Trichy 4, 254 (2017). https://www.researchgate.net/publication/353636552_Low_Cost_Temperature_Logging_System_using_Raspberry_Pi
N. Shriethar, P. Letchoumanane, and S. Solai, Momento , 1 (2022). https://revistas.unal.edu.co/index.php/momento/article/view/97787 DOI: https://doi.org/10.15446/mo.n64.97787
M. Gad-el Hak, The MEMS handbook (CRC press, 2001). https://www.researchgate.net/publication/260699437_MEMS_handbook
M. Gad-el Hak, The MEMS handbook (CRC press, 2001). https://www.researchgate.net/publication/260699437_MEMS_handbook DOI: https://doi.org/10.1201/9781420050905
Y. Tang and S. Lin, in IOP Conference Series: Earth and Environmental Science, Vol. 621 (IOP Publishing, 2021) p. 012151. https://iopscience.iop.org/article/10.1088/1755-1315/621/1/012151 DOI: https://doi.org/10.1088/1755-1315/621/1/012151
S. Bommannan, C. Vineeth, U. Mylavarapu, S. Boyanapalli, and S. Vidhya, in Proceedings of International Conference on Intelligent Computing, Information and Control Systems (Springer, 2021) pp. 39–55. https://link.springer.com/chapter/10.1007/978-981-15-8443-5_4 DOI: https://doi.org/10.1007/978-981-15-8443-5_4
Q. Zhao, Y. Fu, Z. Liu, Y. Xu, and X. Liu, in Automatic Control, Mechatronics and Industrial Engineering: Proceedings of the International Conference on Automatic Control, Mechatronics and Industrial Engineering (ACMIE 2018), October 29-31, 2018, Suzhou, China (CRC Press, 2019) p. 197. https://www.taylorfrancis.com/chapters/edit/10.1201/9780429468605-27/improved-attitude-estimation-algorithm-based-mpu9250-quadrotor-zhao-fu-liu-xu-liu DOI: https://doi.org/10.1201/9780429468605-27
J. Zheng, Q. Minhui, K. Xiang, and M. Pang, in International Conference on Intelligent Robotics and Applications (Springer, 2017) pp. 494–504. https://link.springer.com/chapter/10.1007/978-3-319-65289-4_47 DOI: https://doi.org/10.1007/978-3-319-65289-4_47
Y. Zhang and W. Cai, in 2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT) (IEEE, 2021) pp. 1039–1043. https://ieeexplore.ieee.org/document/9633673
W. Donat and C. Krause, Learn Raspberry Pi Programming with Python (Springer, 2014). https://link.springer.com/book/10.1007/978-1-4842-3769-4
W. Donat and C. Krause, Learn Raspberry Pi Programming with Python (Springer, 2014). https://link.springer.com/book/10.1007/978-1-4842-3769-4 DOI: https://doi.org/10.1007/978-1-4302-6425-5
T. Cox, Raspberry Pi Cookbook for python programmers (Packt Publishing Ltd, 2014). https://library.villanova.edu/Find/Record/2618825
S. Kelly, Python, PyGame, and Raspberry Pi Game Development (Springer, 2019). https://link.springer.com/book/10.1007/978-1-4842-4533-0 DOI: https://doi.org/10.1007/978-1-4842-4533-0
J. Menegazzo and A. Wangenheim, “MPU-9250 Sensors Data Collect,” (2020). https://zenodo.org/record/3960442#.YsMtynbMKUk
H. A. Kastrup, Physics Reports 101, 1 (1983). https://www.sciencedirect.com/science/article/abs/pii/0370157383900376 DOI: https://doi.org/10.1016/0370-1573(83)90037-6
How to Cite
APA
ACM
ACS
ABNT
Chicago
Harvard
IEEE
MLA
Turabian
Vancouver
Download Citation
CrossRef Cited-by
1. Edwin Christian Becerra-Alvarez, Juan Jose Raygoza-Panduro, Jorge Rivera-Dominguez, Susana Ortega-Cisneros, José Luis González-Vidal. (2023). ForEmb: A Forth-Inspired, Real-Time Interpreter for Embedded Systems. 2023 12th International Conference On Software Process Improvement (CIMPS). , p.215. https://doi.org/10.1109/CIMPS61323.2023.10528835.
Dimensions
PlumX
Article abstract page views
Downloads
License

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Those authors who have publications with this journal, accept the following terms:
a. The authors will retain their copyright and will guarantee the publication of the first publication of their work, which will be subject to the Attribution-SinDerivar 4.0 International Creative Commons Attribution License that permits redistribution, commercial or non-commercial, As long as the Work circulates intact and unchanged, where it indicates its author and its first publication in this magazine.
b. Authors are encouraged to disseminate their work through the Internet (eg in institutional telematic files or on their website) before and during the sending process, which can produce interesting exchanges and increase appointments of the published work.