CFP last date
20 February 2025
Call for Paper
March Edition
IJCA solicits high quality original research papers for the upcoming March edition of the journal. The last date of research paper submission is 20 February 2025

Submit your paper
Know more
The week's pick
Responsive image
Adaptive Congestion Control Protocol based on Meta-Reinforcement Learning for Data Communication Networks

Mugoh Mwaura Stephen Kiambi Hezekiah Nganga
Random Articles
Reseach Article

A New Algorithm for Lossless Data Compression based of Time Clock Mechanism

by Chandni Keshri, Bhanu Prakash Lohani
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 43
Year of Publication: 2024
Authors: Chandni Keshri, Bhanu Prakash Lohani
10.5120/ijca2024924042

Chandni Keshri, Bhanu Prakash Lohani . A New Algorithm for Lossless Data Compression based of Time Clock Mechanism. International Journal of Computer Applications. 186, 43 ( Sep 2024), 10-14. DOI=10.5120/ijca2024924042

@article{ 10.5120/ijca2024924042,
author = { Chandni Keshri, Bhanu Prakash Lohani },
title = { A New Algorithm for Lossless Data Compression based of Time Clock Mechanism },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2024 },
volume = { 186 },
number = { 43 },
month = { Sep },
year = { 2024 },
issn = { 0975-8887 },
pages = { 10-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number43/a-new-algorithm-for-lossless-data-compression-based-of-time-clock-mechanism/ },
doi = { 10.5120/ijca2024924042 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-09-30T23:02:46.934468+05:30
%A Chandni Keshri
%A Bhanu Prakash Lohani
%T A New Algorithm for Lossless Data Compression based of Time Clock Mechanism
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 43
%P 10-14
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data compression is pivotal for optimizing storage and enhancing transmission efficiency in modern computing systems. This paper introduces a novel lossless data compression algorithm based on a time clock mechanism. The proposed algorithm, termed Time Clock Compression (TCC), leverages a temporal encoding strategy to minimize redundancy by effectively capturing data patterns with high temporal precision. The results indicate that TCC is particularly advantageous for real-time applications and large-scale data environments where rapid processing and efficient storage are critical. This innovation presents a promising data compression, offering a robust solution for various industries reliant on efficient data management.

References
  1. Sayood, K. (2012). Introduction to Data Compression. Elsevier.
  2. Salomon, D., & Motta, G. (2010). Handbook of Data Compression. Springer.
  3. Pennebaker, W. B., & Mitchell, J. L. (1993). JPEG Still Image Data Compression Standard. Springer.
  4. Ziv, J., & Lempel, A. (1977). A Universal Algorithm for Sequential Data Compression. IEEE Transactions on Information Theory, 23(3), 337-343.
  5. Huffman, D. A. (1952). A Method for the Construction of Minimum-Redundancy Codes. Proceedings of the IRE, 40(9), 1098-1101.
  6. M. A. Bassiouni, "Data Compression in Scientific and Statistical Databases", IEEE Transactions on Software Engineering, vol. SE-11, no. 10, pp. 1047-1058, 1985.
  7. R. Bayer and E. McCreight, "Organization and maintenance of large ordered indexes", Acta Informat, vol. 1, pp. 173-189, 1972.
  8. J. Goldstein, R. Ramakrishnan and U. Shaft, Compressing Relations and Indexes, December 1997.
  9. V. Kesri, " A New Algorithm to Provide all Solutions of SSP Problem" International Journal of Computer Applications, vol. 178, number 5, p. 20–25, 2017.
  10. Christopher H. Messom, Gourab Sen Gupta and Serge N. Demidenko “Hough Transform Run Length Encoding for Real Time Image Processing” IEEE transactions on instrumentation and measurement, vol. 56, no. 3, June 2007.
  11. Nikolay Manchev “Parallel algorithm for Run Length Encoding”, Proceedings of third international conference on information theory, 2006.
  12. J. Trein, A.Th.Schwarzbacher, B. Hoppe and K.-H. Noffz “A Hardware Implementation of a Run Length Encoding Compression Algorithm with Parallel Inputs”, ISSC 2008, Galway, June 18-19.
Index Terms

Computer Science
Information Sciences
Compression Ratio
Redundancy
Dictionary
Indexing
Entropy

Keywords

List_Unique String_ASCII Matrix_3x String_Size

Powered by PhDFocusTM