CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

A Temporal Database Compression with Differential Method

by Sushil Kumar, Sarita S. Bhadauria, Roopam Gupta
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 6
Year of Publication: 2012
Authors: Sushil Kumar, Sarita S. Bhadauria, Roopam Gupta
10.5120/7356-0273

Sushil Kumar, Sarita S. Bhadauria, Roopam Gupta . A Temporal Database Compression with Differential Method. International Journal of Computer Applications. 48, 6 ( June 2012), 65-68. DOI=10.5120/7356-0273

@article{ 10.5120/7356-0273,
author = { Sushil Kumar, Sarita S. Bhadauria, Roopam Gupta },
title = { A Temporal Database Compression with Differential Method },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 6 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 65-68 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number6/7356-0273/ },
doi = { 10.5120/7356-0273 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:43:26.182698+05:30
%A Sushil Kumar
%A Sarita S. Bhadauria
%A Roopam Gupta
%T A Temporal Database Compression with Differential Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 6
%P 65-68
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now days it is very tedious job to keep files for personal as well as commercial computing. There are various type of compressing technique used, but one step ahead from them available technique is described here. Almost every application the backend used is database. That why my technique is dedicated to this type of databases. In this proposed technique we consider every type of compression, but when comes to date and time based database, not much compression technique deals with it. For text type compression there are many techniques same for images. But here we are proposing mainly for time and date type data bases. The practical use for this compression may useful for LIC policies, Stock Exchange, Railways Reservations databases etc. It may also useful for Employees working in a firm, maintaining daily database for salary purposes like Time in and Time out. For this type of database the proposed technique will give a big amount of compressions than any other type of techniques. We have techniques regarding database compression are character, memo, number, date, time compression which can work for individual fields in a database. In this paper main concentration has been given for time compressions. We suggested one example in tabular form on that our differential and time method has been applied.

References
  1. A. S. Tanenbaum "Computer Network" (Fourth Edition Prentice-Hall of India Limited).
  2. Cormack, G. V. 1985. "Data Compression on a Database System". Commun. ACM 28 12, (Dec. ), 1336-1342.
  3. Debra A. Ielwer and Daniel S. Hirschberg "Data Compression" –IEEE JUNE 2002.
  4. Navathe S. B, Elmasn R. "Fundamentals of Database System" (Pearson Education).
  5. Pujari. A. K "Data Mining Technique" (University Press).
  6. Reghbati, H. K "An Overview of Data Compression Technique" IEEE computer (1981).
  7. Saloman D. "Data Compression the Complete Reference" Springer, 3rd Edition (2004).
  8. William Stallings, "Network Security Essentials Application and Standard" (Pearson Education)
  9. Holger Kruse, Amar Mukherjee, "Data Compression Using Text Encryption" FL 32816 Page No. 1068-0314/97 Years 1997 IEEE Department of Computer Science University of Central Florida Orlando, 32816.
  10. En-Hui Yang And John C. Kieffer, "On The Performance Of Data Compression Algorithms Based Upon String Matching" Fellow Ieee, Ieee Transactions On Information Theory, Vol, 44, No. 1, January 1998 0018-9448 1998 Ieee.
  11. Ming-Bo Lin, Member and Yung-Yi Chang, "A New Architecture of a Two-Stage Lossless Data Compression and Decompression Algorithm" IEEE TRANSACTIONS ON VERY LARGE SCALEINTEGRATION (VLSI) SYSTEMS, VOL, 17, NO, 9, SEPTEMBER 2009 1063-8210 Years 2009 IEEE.
  12. 'N. Magotra', W. McCoy', S. Stearns' Dept. of EECE, "A Lossless Data Compression In Real Time F. Livingston. " University of New Mexico, Albuquerque, NM 87131: Dept, 9311, Sandia National Laboratory, Albuquerque, NM 87185 1058-6393/95 year 1995 IEEE.
  13. Thanos Makatos, Yannis Klonatos, Manolis Marazakis, Michail D. Flouris, and Angelos Bilas, "ZBD: Using Transparent Compression at the Block Level to Increase Storage Space Efficiency", Foundation for Research and Technology – Hellas (FORTH), P. O. Box 2208, Heraklion, GR 71409, Greece, 978-07695-2/10, © 2010 IEEE.
  14. Ming-Bo Lin, Member, IEEE, and Yung-Yi Chang, "A New Architecture of a Two-Stage Lossless Data Compression and Decompression Algorithm", 1063-8210, ©2009 IEEE.
  15. Sushil Kumar, Dr. Sarita S. Bhadauria, Dr. Roopam Gupta, "A Digital Compression Scheme Using Delta and Differential Methods", IJCA (0975-8887) Volume 25 – No. 7, July 2011, page No. 18 – 25.
  16. Senthil Shanmugasundaram, Robert Lourdusamy, "IIDBE: A Lossless Text Transform for Better Compression" International Journal of Wisdom Based Computing, Vol. 1 (2), August 2011, Page No. 1 – 6.
  17. Tanakorn Wichaiwong, Kitti Koonsanit, Chuleerat Jaruskulchai, "A Simple Approach to Optimized Text Compression's Performance" 4th International Conference on Web Services Practices, IEEE Computer Society, 978-0-7695-3455-8/08, Page no. 66 – 70.
  18. M. Baritha Begum, Dr. Y. Venkataramani, "An Efficient Text Compression for Massive Volume of Data" IJCA (0975 - 8887), Volume 21 – No. 5, May 2011, page No. 5 – 9.
  19. Md. Nasim Akhtar, Md. Mamunur Rashid, Md. Shafiqul Islam, Mohammod Abul Kashem, Cyrll Y. Kolybanov, "Position Index Preserving Compression for Text Data" JCS&T Vol. !! No. 1, April 2011, Page No. 9 – 14.
  20. S. R. Kodituwakku, U. S. Amarasinghe, "Comparison of Lossless Data Compression Algorithms for Text Data" IJCSE Vol. 1 No. 4 416-425, ISSN : 0976-5166, Page No. 416-4125.
  21. Rexline S. J, Robert L, "Dictionary Based Preprocessing Methods in Text Compression – A Survey" IJWBC, Vol. 1 (2), August 2011, Page No. 13-18.
  22. Umesh S. Bhadade, Prof. A. I. Trivedi, "Lossless Text Compression using Dictionaries" IJCA (0975 - 8887) Volume 13- No. 8, January 2011, Page No. 27-34.
  23. Haroon Altarawneh, Mohammad Altarawneh, "Data Compression Techniques on Text Files: A Comparison Study", IJCA (0975 - 8887) Volume 26- No. 5, july2011.
Index Terms

Computer Science
Information Sciences

Keywords

Compression Compression Ratio Compression Factor Fixed Length Coding (flc) Huffman After Using Fixed Length Code (hflc) Lzw(lampel Ziv Welch) Lossy Compression Nonlossy Compression Rle (run Length Encoding) Saving Percentage Temporal Database

Powered by PhDFocusTM