This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Anadigm Designer®2, “User manual software version 2.4.0.5. available at: www.anadigm.com/_doc/UM020800-U001.pdf.Anadigm Designer®2available at:www.anadigm.com/_doc/UM020800-U001.pdfSearch in Google Scholar
Anadigm FPAA, “AN231E04 datasheet rev 1.1. available at: www.anadigm.com/_doc/DS231000-u001.pdf.Anadigm FPAAavailable at:www.anadigm.com/_doc/DS231000-u001.pdfSearch in Google Scholar
Bakhoum, E.G. and Cheng, M.H.M. 2012. Frequency-selective seismic sensor. IEEE Transactions on Instrumentation and Measurement 16 No. 3: 823-829.BakhoumE.G.ChengM.H.M.2012Frequency-selective seismic sensor16382382910.1109/TIM.2011.2169610Search in Google Scholar
Chen, D., et al. 2013. A micro electrochemical seismic sensor based on MEMS technologies. Sensors and Actuators A: Physics.ChenD.et al.2013A micro electrochemical seismic sensor based on MEMS technologies10.1016/j.sna.2012.12.041Search in Google Scholar
Deese, A.S. and Nwankpa, C.O. 2014. Design and testing of custom FPAA hardware with improved scalability for emulation of smart grids. IEEE Transactions On Smart Grid 5 No. 3: 1369.DeeseA.S.NwankpaC.O.2014Design and testing of custom FPAA hardware with improved scalability for emulation of smart grids53136910.1109/PESGM.2014.6939389Search in Google Scholar
Dias Pereira, J.M., Postolache, O., Silva Girao, P.M.B. and Mihai, C. 2000. Minimizing temperature drift error of conditioning circuits using artificial neural networks. IEEE Trans Intrum Meas 49(5).Dias PereiraJ.M.PostolacheO.Silva GiraoP.M.B.MihaiC.2000Minimizing temperature drift error of conditioning circuits using artificial neural networks49(5)10.1109/19.872941Search in Google Scholar
Futane, N.P., Roy Chowdhury, S., Roy Chowdhury, C. and Saha, H. 2010. ANN based CMOS ASIC design for improved temperature-drift compensation of piezoresistive micro-machined high resolution pressure sensor. Microelectronics Reliability 50: 282-291.FutaneN.P.Roy ChowdhuryS.Roy ChowdhuryC.SahaH.2010ANN based CMOS ASIC design for improved temperature-drift compensation of piezoresistive micro-machined high resolution pressure sensor5028229110.1016/j.microrel.2009.09.012Search in Google Scholar
Futane, N.P., RoyChowdhury, S., RoyChaudhuri, C. and Saha, H. 2011. Analog ASIC for improved temperature drift compensation of a high sensitive porous silicon pressure sensor. Analog Integrated Circuits and Signal Processing 67: 383-393.FutaneN.P.RoyChowdhuryS.RoyChaudhuriC.SahaH.2011Analog ASIC for improved temperature drift compensation of a high sensitive porous silicon pressure sensor6738339310.1007/s10470-010-9580-7Search in Google Scholar
Gabriel, K.J. 1998. Microelectromechanical systems (MEMS) tutorial. IEEE International Test Conference: 432-441.GabrielK.J.1998IEEE International Test Conference43244110.1109/AERO.1997.574849Search in Google Scholar
Lia, G., Chena, D., Wanga, J., Jiana, C., Hea, W., Fana, Y. and Denga, T. 2012. A MEMS based seismic sensor using the electrochemical approach. Procedia Engineering 47: 362-365.LiaG.ChenaD.WangaJ.JianaC.HeaW.FanaY.DengaT.2012A MEMS based seismic sensor using the electrochemical approach4736236510.1016/j.proeng.2012.09.158Search in Google Scholar
Majhi, S., Kotwal, V. and Mehta, U. 2012. FPAA-based PI controller for DC servoposition control system. IFAC Conference on Advances in PID Control, Brescia (Italy), March 28-30.MajhiS.KotwalV.MehtaU.2012IFAC Conference on Advances in PID ControlBrescia (Italy)March 28-30Search in Google Scholar
Malcher, A. and Falkowski, P. 2014. Analog reconfigurable circuits. International Journal of Electronics and Telecommunications 60 No. 1: 15-26.MalcherA.FalkowskiP.2014Analog reconfigurable circuits601152610.2478/eletel-2014-0002Search in Google Scholar
Manolov, E.D., Tzanov, M.H. and Koparanov, F.T. 2009. FPAA implementation and investigation of analog neurons. Annual Journal of Electronics, available at: http://ecad.tu-sofia.bg/et/2009/ET_2009/AEM2009_2/Micro-%20and%20nanoelectronics/182-Paper-E_Manolov3.pdf.ManolovE.D.TzanovM.H.KoparanovF.T.2009FPAA implementation and investigation of analog neuronsavailable at: http://ecad.tu-sofia.bg/et/2009/ET_2009/AEM2009_2/Micro-%20and%20nanoelectronics/182-Paper-E_Manolov3.pdfSearch in Google Scholar
Pawase, R. and Futane, N.P. Dr 2015. Artificial neural networks based mathematical modeling for interface circuit of MEMS electrochemical seismic sensor for frequency-drift compensation. International Symposium on Physics and Technology of Sensors (ISPTS-2), Pune.PawaseR.FutaneN.P.Dr2015Artificial neural networks based mathematical modeling for interface circuit of MEMS electrochemical seismic sensor for frequency-drift compensationSearch in Google Scholar
Pawase, R. and Futane, N.P. Dr 2015. Angular rate error compensation of MEMS based gyroscope using artificial neural network. International Conference on Pervasive Computing (ICPC), Pune: 1-4.PawaseR.FutaneN.P.Dr2015International Conference on Pervasive Computing (ICPC)Pune1410.1109/PERVASIVE.2015.7087129Search in Google Scholar
Wadikhaye, S.P., Yong, Y.K., Bhikkaji, B. and Moheimani, S.O.R. 2014. Control of a piezoelectrically actuated highspeed serialkinematic AFM nanopositioner. Smart Materials and Structures 23 IOP Publishing, pp-025030-12.WadikhayeS.P.YongY.K.BhikkajiB.MoheimaniS.O.R.2014Control of a piezoelectrically actuated highspeed serialkinematic AFM nanopositioner23IOP Publishing, pp-025030-12Search in Google Scholar