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Implementation of fuzzy logic method for physical and mental illness by smart phones

Author Affiliations

  • 1Dept of Computer Science, Christ College, Pune, MS, India
  • 2Dept of Computer Science, Christ College, Pune, MS, India
  • 3Dept of Mathematics, College of Military Engg., Pune, MS, India

Res. J. Computer & IT Sci., Volume 7, Issue (1), Pages 1-6, June,20 (2019)

Abstract

Using Fuzzy logic, different types of complex systems can be analyzed more effectively than using traditional approaches. In revolutionary technology, a smart phone emits radio frequency energy which can be absorbed by the tissues in the body. Sleep dispossession is one of the common bad effects of using smart phones. Moreover phones produce light effects which can damage our eye sight. In this paper, we analyzed smart phoned are also found to have a negative impact on health issue.

References

  1. Zadeh L.A. (1965)., Fuzzy sets., Information and control, 8(3), 338-353.
  2. Mamdani E.H. (1974)., Application of Fuzzy Algorithm for Control of Simple Dynamic Plant., Proc. IEEE, 121(12), 1585-1588.
  3. Zhen A. and Feng R.G. (2012)., The Design of neural network fuzzy controller in washing machine., Int. Conference on Computing, Measurement, Control and Sensor Network (CMCSN), Proceeding, Shanxi, China, 136-139.
  4. George J. Kilr and Bo Yuan (2006)., Fuzzy Sets and Fuzzy Logic., PHI, India.
  5. Kumar D. and Haidr Y. (2013)., Fuzzy Logic Based Control System for Washing Machine., International Journal of Computer Science and Technology, 4(2), 198-200.
  6. Mendel J.M. (1995)., Fuzzy logic systems for engineering: a tutorial., Proceedings of the IEEE, 83(3), 345-377.
  7. Hellendoorn H. and Thomas C. (1993)., Defuzzification in fuzzy controllers., Journal of Intelligent & Fuzzy Systems, 1(2), 109-123.
  8. Yazid S. and Mouftah H.T. (1992)., Congestion control methods for BISDN., IEEE Communications Magazine, 30(7), 42-47.
  9. Lohani P. and Hasan S.R. (2009)., Design of an Improved Controller Microchip for Washing Machine., 16th Annual Electronics Conference, New Zealand, Dunedin: Otago University, 20-26.
  10. Virkhare N. and Jasutkar R.W., (2014)., Neuro-Fuzzy Controller Based Washing Machine., International Journal of Engineering Science Invention, 3(1), 48-51.
  11. Petricia Leema Roseline S. (2016)., Unit Consumption under Fuzzy logic control of washing Machine., ISCA e-publication proceedings.
  12. Mathworks (2004)., MATLAB for Artificial Intelligence., The Mathworks, Inc., http:// www.mathworks.com.