scholarly journals Tactile Sensor Array with Fiber Bragg Gratings in Quasi-Distributed Sensing

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Marcelo A. Pedroso ◽  
Lucas H. Negri ◽  
Marcos A. Kamizi ◽  
José L. Fabris ◽  
Marcia Muller

This work describes the development of a quasi-distributed real-time tactile sensing system with a reduced number of fiber Bragg grating-based sensors and reports its use with a reconstruction method based on differential evolution. The sensing system is comprised of six fiber Bragg gratings encapsulated in silicone elastomer to form a tactile sensor array with total dimensions of 60 × 80 mm, divided into eight sensing cells with dimensions of 20 × 30 mm. Forces applied at the central position of the sensor array resulted in linear response curves for the gratings, highlighting their coupled responses and allowing the application of compressive sensing. The reduced number of sensors regarding the number of sensing cells results in an undetermined inverse problem, solved with a compressive sensing algorithm with the aid of differential evolution method. The system is capable of identifying and quantifying up to four different loads at four different cells with relative errors lower than 10.5% and signal-to-noise ratio better than 12 dB.

Author(s):  
Sahana Prasanna ◽  
Luca Massari ◽  
Edoardo Sinibaldi ◽  
Renaud J. Detry ◽  
Joseph Bowkett ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Ming Yin ◽  
Kai Yu ◽  
Zhi Wang

For low-power wireless systems, transmission data volume is a key property, which influences the energy cost and time delay of transmission. In this paper, we introduce compressive sensing to propose a compressed sampling and collaborative reconstruction framework, which enables real-time direction of arrival estimation for wireless sensor array network. In sampling part, random compressed sampling and 1-bit sampling are utilized to reduce sample data volume while making little extra requirement for hardware. In reconstruction part, collaborative reconstruction method is proposed by exploiting similar sparsity structure of acoustic signal from nodes in the same array. Simulation results show that proposed framework can reach similar performances as conventional DoA methods while requiring less than 15% of transmission bandwidth. Also the proposed framework is compared with some data compression algorithms. While simulation results show framework’s superior performance, field experiment data from a prototype system is presented to validate the results.


Nanoscale ◽  
2016 ◽  
Vol 8 (36) ◽  
pp. 16302-16306 ◽  
Author(s):  
W. Deng ◽  
L. Jin ◽  
B. Zhang ◽  
Y. Chen ◽  
L. Mao ◽  
...  

2021 ◽  
pp. 1-1
Author(s):  
Chun-Peng Jiang ◽  
Nan Zhao ◽  
Gen-Cai Shen ◽  
Zu-De Lin ◽  
Bin Yang ◽  
...  

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