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Reseach Article

Linear Position Sensors – A Brief Guide of Use of the Most Common Types

by M. Papoutsidakis, A. Chatzopoulos, C. Drosos
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 30
Year of Publication: 2018
Authors: M. Papoutsidakis, A. Chatzopoulos, C. Drosos

M. Papoutsidakis, A. Chatzopoulos, C. Drosos . Linear Position Sensors – A Brief Guide of Use of the Most Common Types. International Journal of Computer Applications. 179, 30 ( Mar 2018), 9-14. DOI=10.5120/ijca2018916685

@article{ 10.5120/ijca2018916685,
author = { M. Papoutsidakis, A. Chatzopoulos, C. Drosos },
title = { Linear Position Sensors – A Brief Guide of Use of the Most Common Types },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2018 },
volume = { 179 },
number = { 30 },
month = { Mar },
year = { 2018 },
issn = { 0975-8887 },
pages = { 9-14 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2018916685 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:56:58.546269+05:30
%A M. Papoutsidakis
%A A. Chatzopoulos
%A C. Drosos
%T Linear Position Sensors – A Brief Guide of Use of the Most Common Types
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 30
%P 9-14
%D 2018
%I Foundation of Computer Science (FCS), NY, USA

In this paper, we gave information about introduction to the linear position sensors, their history and classification. In the content of this document, main parameter for this type of sensors are discussed while considering their application areas. Primary advantages or disadvantages of this kind of sensors are determined by their operating style and principle. Simulation result carried out in real life represents the comparison among these sensors. Those simulations are supplied with corresponding theoretical equations and formulas. Additionally, a novel read-out signal conditioning circuitry for Linear Variable Differential Transformers (LVDT) and Magnetostriction phenomenon are discussed and provided with specific instances.

  1. B. Corona, M. Nakano, H. Pérez, “Adaptive Watermarking Algorithm for Binary Image Watermarks”, Lecture Notes in Computer Science, Springer, pp. 207-215, 2004.
  2. A. A. Reddy and B. N. Chatterji, "A new wavelet based logo-watermarking scheme," Pattern Recognition Letters, vol. 26, pp. 1019-1027, 2005.
  3. P. S. Huang, C. S. Chiang, C. P. Chang, and T. M. Tu, "Robust spatial watermarking technique for colour images via direct saturation adjustment," Vision, Image and Signal Processing, IEE Proceedings -, vol. 152, pp. 561-574, 2005.
  4. F. Gonzalez and J. Hernandez, " A tutorial on Digital Watermarking ", In IEEE annual Carnahan conference on security technology, Spain, 1999.
  5. D. Kunder, "Multi-resolution Digital Watermarking Algorithms and Implications for Multimedia Signals", Ph.D. thesis, university of Toronto, Canada, 2001.
  6. J. Eggers, J. Su and B. Girod," Robustness of a Blind Image Watermarking Scheme", Proc. IEEE Int. Conf. on Image Proc., Vancouver, 2000.
  7. Barni M., Bartolini F., Piva A., Multichannel watermarking of color images, IEEE Transaction on Circuits and Systems of Video Technology 12(3) (2002) 142-156.
  8. Kundur D., Hatzinakos D., Towards robust logo watermarking using multiresolution image fusion, IEEE Transcations on Multimedia 6 (2004) 185-197.
  9. C.S. Lu, H.Y.M Liao, “Multipurpose watermarking for image authentication and protection,” IEEE Transaction on Image Processing, vol. 10, pp. 1579-1592, Oct. 2001.
  10. L. Ghouti, A. Bouridane, M.K. Ibrahim, and S. Boussakta, “Digital image watermarking using balanced multiwavelets”, IEEE Trans. Signal Process., 2006, Vol. 54, No. 4, pp. 1519-1536.
  11. P. Tay and J. Havlicek, "Image Watermarking Using Wavelets", in Proceedings of the 2002 IEEE, pp. II.258 – II.261, 2002.
  12. P. Kumswat, Ki. Attakitmongcol and A. Striaew, "A New Approach for Optimization in Image Watermarking by Using Genetic Algorithms", IEEE Transactions on Signal Processing, Vol. 53, No. 12, pp. 4707-4719, December, 2005.
  13. H. Daren, L. Jifuen,H. Jiwu, and L. Hongmei, "A DWT-Based Image Watermarking Algorithm", in Proceedings of the IEEE International Conference on Multimedia and Expo, pp. 429-432, 2001.
  14. C. Hsu and J. Wu, "Multi-resolution Watermarking for Digital Images", IEEE Transactions on Circuits and Systems- II, Vol. 45, No. 8, pp. 1097-1101, August 1998.
  15. R. Mehul, "Discrete Wavelet Transform Based Multiple Watermarking Scheme", in Proceedings of the 2003 IEEE TENCON, pp. 935-938, 2003.
Index Terms

Computer Science
Information Sciences


Linear position sensors LVDT magnetostrictive sensors linear encoders signal conditioning