Call for Paper - November 2023 Edition
IJCA solicits original research papers for the November 2023 Edition. Last date of manuscript submission is October 20, 2023. Read More

An Efficient Wavelet based Automation Process for E-Admission in Universities of Odisha

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 47 - Number 22
Year of Publication: 2012
Ghanashyam Rout
Sreedhar Madichetty
Sambeet Mishra
Srikanta Pattnaik

Ghanashyam Rout, Sreedhar Madichetty, Sambeet Mishra and Srikanta Pattnaik. Article: An Efficient Wavelet based Automation Process for E-Admission in Universities of Odisha. International Journal of Computer Applications 47(22):18-26, June 2012. Full text available. BibTeX

	author = {Ghanashyam Rout and Sreedhar Madichetty and Sambeet Mishra and Srikanta Pattnaik},
	title = {Article: An Efficient Wavelet based Automation Process for E-Admission in Universities of Odisha},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {47},
	number = {22},
	pages = {18-26},
	month = {June},
	note = {Full text available}


E-admission or electronic admission is an electronic mechanism which convert the traditional office paper processes into electronic processes. In this type of admission, It creates a paperless system which is done in web based network. This is an Internet Communication Tool, which would improve the performance in admission in Universities of Odisha. E-admission can encompass both intra-office and inter-office communication for any Universities of Odisha. The main objective is to introduce total transparency and accountability leading to better E-Governance with in any Universities of Odisha. This type initiative is especially targeted at any Universities of India or world where public accountability is of special concern. Similar processes are being developed in many universities to aid compliance with the educational act. This paper introduces a noble solution for E-admission through an efficient automatic software technique. The solution is more customer centric rather than organization centric. It is also independent of any specific individual and hence confirms the ethics of transparency. The process of E-admission is implemented by a distributive co-operative algorithm & PSO based algorithm for fast searching. The data protection is achieved through wavelet techniques


  • J. C. Garcia and A. I. Zanfrillo, Data Mining Application to Decision-Making Processes in University Management, INFOCOMP Journal of Computer Science, volume 6, no. 1 pp. 57-65, 2007.
  • J. Luan, Data Mining Application in Higher Education, SPSS Executive Report, 2002.
  • J. Luan, Data Mining as Driven by Knowledge Management in Higher Education-Persistence Clustering And Prediction, Keynote speech at the University of California-San Francisco's SPSS Public Roadshow, 2001.
  • Kathy Cross, Lavon R. Frazier, Lynn Hulett "Streamlining the Admissions Process with Imaging and Workflow" Washington State University Pullman, Washington
  • Simon Fong and Robert P. Biuk-Agha " An Automated University Admission Recommender System for Secondary School Students"
  • Sam-Ho Lee? "Early Admission Program: Does It Hurt Efficiency? University of Pennsylvania Department of Economics 3718 Locust Walk Philadelphia, PA 19104 samho@ssc. upenn. edu Oct 2002
  • Anders Mobjörk " A Unified Process for Admissions to Higher Education in Sweden" 1 The National Agency for Services to Universities and University Colleges (VHS), Box 24070, S-104 50 Stockholm, anders. mobjork@vhs. se
  • Gifford, Denise, Briceo-Perriott, Juanita, Mianzo, Frank "Pen to Mouse: Web-Based Technology's Impact on College Admission Applications"
  • . A. S. Lewis and G. Knowles, "Image compression using the 2-D wavelet transform," IEEE Trans. Image Processing, vol. 1, pp. 244–250, Apr. 1992.
  • M. Antonini, M. Barland, P. Mathieu, and I. Daubechies, "Image coding using the wavelet transform," IEEE Trans. Image Processing, vol. 1, pp. 205–220, Apr. 1992.
  • J. M. Shapiro,"Embedded image coding using zero trees of wavelet coefficients," IEEE Trans. Signal Processing, vol. 41, pp. 3445-3463, Dec. 1993.
  • M. L. Hilton, "Compressing still and moving images with wavelets," Multimedia Syst. , vol. 2, no. 3, pp. 218–227, 1994.
  • . Z. Xiang, K. Ramchandran, M. T. Orchard, and Y. Q. Zhang, "A comparative study of DCT- and wavelet-based image coding," IEEE Trans. Circuits Syst. Video Technol. , vol. 9, pp. 692–695, Apr. 1999
  • E. Feig, "A fast scaled DCT algorithm," Proc. SPIE—Image Process. Algorithms Techn. , vol. 1244, pp. 2–13, Feb. 1990.
  • Kennedy. J; Eberhart. R; "Particle Swarm Optimizing" Bur. Of Labor stat. Washington,DC,USA. IEEE, International Conference on Nov/Dec 1995.
  • Grill-Specter, K. , Sayres, R. , and Ress, D. (2006). "High-resolution imaging reveals highly selective no face clusters in the uniform face area. " Nature Neuroscience 9 (9) 1177-1185
  • Haxby, J. , Gobbini, M. , Furey, M. , Ishai, A. , Schouten, J. , and Pietrini, P. (2001). " Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex Science" 293 2425-2430
  • LaConte, S. , Peltier, S. , and Hu, X. (2002). "Real-Time fMRI Using Brain-State Classification Human Brain Mapping "28 1033-1044
  • S. Bauer, B. Zovko-Cihlar, and M. Grgic, "The influence of impairments from digital compression of video signal on perceived picture quality," in Proc. 3rd Int. Workshop Image and Signal Processing, IWISP'96, Manchester, U. K. , 1996, pp. 245–248.
  • A. Said and W. A. Pearlman, "A new fast and efficient image codec based on set partitioning in hierarchical trees", IEEE Trans. Circuit Syst. Video Technol. , vol. 6, pp. 243-250, June 1996