Authors:
R. Mohanraj,Balaji. S,John Paul Praveen A,DOI NO:
https://doi.org/10.26782/jmcms.spl.2019.08.00056Keywords:
Fuel cell,MEMS,humidity,COMSOL,Abstract
In today’s world, with increasing price of fuels, depletion of natural resources and pollution levels mounting up, an eco friendly and cheap alternative fuel in automobiles can be implemented. A hydrogen fuel cell makes it possible by converting the hydrogen to electricity that powers the vehicle. The proposed green fuel is hydrogen which is combined with oxygen inside the fuel cell. The byproduct is water which can be used for purposes like irrigation, domestic and industrial uses after treatment. The fuel cell efficiency is dependent on its moisture content and so a MEMS based humidity sensor is proposed for measuring the humidity.Refference:
I. B. Yuan; Y. Wang, “High-Accuracy FIR Filter Design Using Stochastic
Computing”, 2016 IEEE Computer Society Annual Symposium on VLSI
(ISVLSI)pp: 128 – 133, 2016.
II. Chin-Yen Lee, Gwo-Bin Lee, Micromachine- based humidity sensors with
integrated temperature sensor for signal drift compensation, J. Micromech.
Microeng. (2003) 620–627.
III. D. Zhang, G. Jullien, W. Miller, E. Swartzlander, “Arithmetic for digital neural
networks”, in Proc. IEEE 10th Symp. Comput. Arith., Jun. 1991, pp. 58-63.
IV. D. R. Lutz, D. N. Jayasimha,“Programmable modulo-K counters”, IEEE Trans.
Circuits Syst. I, Fundam. Theory Appl., Vol. 43, No. 11, pp. 939-941, Nov. 1996
V. D. C. Hendry,“Sequential lookahead method for digital counters”, IEEE Electron.
Lett., Vol. 32, No. 3, pp. 160-161, Feb. 1996.
VI. J. E. Vuillemin,“Constant time arbitrary length synchronous binary counters”, in
Proc. IEEE 10th Symp. Comput. Arith., 1991, pp.180-183.
VII. Popovici and D. Popovici, “Cellular automata in image processing” inProc. 15th Int.
Symp. Math. Theory Networks Syst., pp. 34–44.aug 2002.
VIII. Parasuraman. Technology Readiness Index (TRI) a multiple-item scale to measure
readiness to embrace new technologies, Journal of Service Research, vol. 2 no. 4,
pp.307-320,2000. https://doi.org/10.1177/109467050024001.
IX. R. Agarwal and J. Prasad. The antecedents and consequents of user perceptions in
information technology adoption, Decision Support Systems, vol. 22 no. 1, pp.15-
29,1998. https://doi.org/10.1016/S0167-9236(97)00006-7.
X. S. Poonguzhali, G.Ravindran “A Complete Automatic Region Growing Method for
Segmentation of Masses on Ultrasound Images”forCenter for Medical Electronics,
College of Engineering Guindy, Anna University, Chennai, India ,pp123-135,nov
2009.
XI. Sinop and L. Grady, “A seeded image segmentation framework unifying graph cuts
and random walker which yields a new algorithm,” in ICCV, pp. 1–8.march. 2007.
XII. The International Engineering Consortium, Speech-enabled interactive voice
response systems. 2005; Available from:
http://www.uky.edu/~jclark/mas355/SPEECH.PDF.