RASPBERRY PI-BASED SENSOR NETWORK FOR MULTI-PURPOSE NONLINEAR MOTION DETECTION IN LABORATORIES USING MEMS

IF 0.9 Q4 PHYSICS, APPLIED MOMENTO-Revista de Fisica Pub Date : 2022-07-05 DOI:10.15446/mo.n65.102641
Natarajan Shriethar, Narmadha Chandramohan, Chandramohan Rathinam
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引用次数: 0

Abstract

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.
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基于树莓皮的MEMS多功能非线性运动传感器网络
检测和测量经典系统的非线性演化是一个复杂的过程。在这项工作中,使用基于Raspberry Pi的MEMS传感器网络系统测量了实验室级系统的非线性演化。对非线性系统的演化和各种结果进行了理论和实验比较。
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来源期刊
MOMENTO-Revista de Fisica
MOMENTO-Revista de Fisica PHYSICS, APPLIED-
CiteScore
1.10
自引率
37.50%
发文量
12
审稿时长
12 weeks
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