Properties of the International Standard Serial Number

Authors

  • David Gikunju Muriuki Department of Pure and Applied Mathematics, Jomo Kenyatta University of Agriculture and Technology, P.O Box 62000, Juja-00200, Nairobi, Kenya
  • Peter Kamaku Waweru Department of Pure and Applied Mathematics, Jomo Kenyatta University of Agriculture and Technology, P.O Box 62000, Juja-00200, Nairobi, Kenya
  • Augustus Wali Nzomo Department of Mathematics and Actuarial sciences, South Eastern Kenya University, P.O Box 90200, Kitui-170, Nairobi, Kenya

Keywords:

ISSN, error detection, error correction, single error, transposition errors.

Abstract

This paper, analyses the properties of international standard serial number in terms of error detection, correction and the size of the code dictionary. Through weight check equation the ability of ISSN code to detect and correct errors is determined. The total number of code words is established by how many digits permute. By using permutation methods, the length of the ISSN dictionary is determined. ISSN detects errors but only corrects single and transposition errors.

References

Kamaku, W. (2012). Error Detection and Correction on the International Standard

Huffman, W. C., & Pless, V. (2010). Fundamentals of Error-Correcting Codes. Cambridge university press.

Raymond, H. (1986). A first Course in Coding Theory. CLARENDON Press, U.S.A.

Skrzypczak, J. (2014). International Standard Serial Number (ISSN).

Stein, W. (2008). Elementary Number Theory: Primes, Congruences, and Secrets: a Computational Ap- proach. Springer Science & Business Media.

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Published

2019-06-22

How to Cite

Gikunju Muriuki, D., Kamaku Waweru, P., & Wali Nzomo, A. (2019). Properties of the International Standard Serial Number. International Journal of Sciences: Basic and Applied Research (IJSBAR), 47(1), 117–129. Retrieved from https://gssrr.org/index.php/JournalOfBasicAndApplied/article/view/10092

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Articles