ISFET-based device for water quality monitoring
Abstract
A novel configuration for creating a water quality monitoring device utilising ISFET is given, which includes a low power CMOS Integrated "Ion Sensitive Field Effect transistor (ISFET) - Operational Amplifier. The primary emphasis of the research is on the modelling of power and performance analysis of an ISFET device utilised for water quality monitoring. This method can enhance device calibration across a wide range without the need of a high-speed digital processor. The usual device has a slow slew rate, however this unique design has a faster slew rate. A new slew rate enhancement (SRE) built into an ISFET that has no effect on the small signal frequency response. Tanner simulator version 15 for a 70nm CMOS is used to test the circuit's functionality.
References
Whig, Pawan, and Syed Naseem Ahmad. "DVCC based Readout Circuitry for Water Quality Monitoring System." International Journal of Computer Applications 49.22 (2012): 1-7.
M. Tunguturi, “Artificial intelligence and machine learning in the enterprise”, IJSCS, vol. 2, no. 1, pp. 1–10, Dec. 2010.
Rupani, Ajay, et al. "A robust technique for image processing based on interfacing of Raspberry-Pi and FPGA using IoT." 2017 International Conference on Computer, Communications and Electronics (Comptelix). IEEE, 2017.
Mahesh Tunguturi, More On Principles and Applications of Big Data Analytics , International Journal of Statistical Computation and Simulation: Vol. 1 No. 1 (2009): IJSCS
Mahesh Tunguturi, More on Big data to the world , International Journal of Statistical Computation and Simulation: Vol. 3 No. 1 (2011): IJSCS
Mahesh Tunguturi, Samrajyam Singu, The growth of Bigdata in Information Technology , International Journal of Statistical Computation and Simulation: Vol. 4 No. 1 (2012): IJSCS
Samrajyam Singu, Mahesh Tunguturi, Fundamental standards and uses of big data analytics , International Journal of Statistical Computation and Simulation: Vol. 5 No. 1 (2013): IJSCS
Mahesh Tunguturi, Samrajyam Singu, Latest machine learning applications across the globe , International Journal of Statistical Computation and Simulation: Vol. 6 No. 1 (2014): IJSCS
Samrajyam Singu, Mahesh Tunguturi, More on Neural community and fuzzy device , International Journal of Statistical Computation and Simulation: Vol. 6 No. 1 (2014): IJSCS
Mahesh Tunguturi, Samrajyam Singu, Latest machine learning applications across the globe , International Journal of Statistical Computation and Simulation: Vol. 7 No. 1 (2015): IJSCS
Samrajyam Singu, Mahesh Tunguturi, Fundamentals and awareness of robotics , International Journal of Statistical Computation and Simulation: Vol. 7 No. 1 (2015): IJSCS
Mahesh Tunguturi, Samrajyam Singu, Automation of human behaviors and its prediction , International Journal of Statistical Computation and Simulation: Vol. 8 No. 1 (2016): IJSCS
Samrajyam Singu, Mahesh Tunguturi, Smart agriculture utility the use of fog-iot , International Journal of Statistical Computation and Simulation: Vol. 8 No. 1 (2016): IJSCS
Mahesh Tunguturi, Samrajyam Singu, Extremely Low strength design for Water Purification , International Journal of Statistical Computation and Simulation: Vol. 9 No. 1 (2017): IJSCS
Mahesh Tunguturi, Samrajyam Singu, A new method on provider Description support Customization , International Journal of Statistical Computation and Simulation: Vol. 9 No. 1 (2017): IJSCS
Whig, Pawan, and Syed Naseem Ahmad. "A CMOS integrated CC-ISFET device for water quality monitoring." International Journal of Computer Science Issues 9.4 (2012): 1694-0814.
