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Reseach Article

Mobile Agents for Audio Search & Retrieval

by Nirmala C R, V Ramaswamy, Jyothi N M
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 23
Year of Publication: 2010
Authors: Nirmala C R, V Ramaswamy, Jyothi N M
10.5120/532-695

Nirmala C R, V Ramaswamy, Jyothi N M . Mobile Agents for Audio Search & Retrieval. International Journal of Computer Applications. 1, 23 ( February 2010), 75-80. DOI=10.5120/532-695

@article{ 10.5120/532-695,
author = { Nirmala C R, V Ramaswamy, Jyothi N M },
title = { Mobile Agents for Audio Search & Retrieval },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 23 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 75-80 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number23/532-695/ },
doi = { 10.5120/532-695 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:48:06.254137+05:30
%A Nirmala C R
%A V Ramaswamy
%A Jyothi N M
%T Mobile Agents for Audio Search & Retrieval
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 23
%P 75-80
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

At present de-facto standard for providing contents in the Internet is the World Wide Web, which implements the client server technique. A technology, which is now emerging on the web, is searching for the audio, video and images and retrieval of the same. In this paper, we describe an architecture that helps the user in performing the above tasks using mobile agents. Here the system is designed and implemented for the search and retrieval of the images and audio files over the Internet. We can observe that several disadvantages of the World Wide Web’s client server technology have been overcome by using this architecture. The current commercial applet – based methodologies for accessing audio files from web databases offers limited flexibility, scalability and robustness. Our system is based on aglets which are nothing but Java based mobile agents. The implementation of the architecture shows that its performance is comparable to and in some cases outperforms the current approach. As an application on this architecture we have also created the speech synthesizer Agent for the special purpose of playing an audio from a particular word. To achieve this, we are making use of open source software Free Text to Speech converter1.0.1 as a supporting tool. This architecture makes use of pull model of E-commerce. This work aims at saving the download time, reduces network traffic for the users who compare and purchase audio online.

References
  1. 1. P.Dasgupta, N Narasimhan, L.Moser, and P.M. Mellier Smith,” MAgNET: Mobile Agents for Networked Electronic Trading”, IEEE Transactions on Knowledge and Data Engineering, Special Issue on Web Technologies Vol. 24, No.6, July/August 1999, pp 509 -525
  2. 2. IBM Agents, Mobile Java™ Agents with Aglets™, by Christian Weigel, Department of Computer Science,University of Applied Sciences Kaiserslautern,Amerikastr. 1, 66482 Zweibrücken, Germany, <script language="JavaScript" type="text/javascript"> <!-- var prefix = 'm&#97;&#105;lt&#111;:'; var suffix = ''; var attribs = ''; var path = 'hr' + 'ef' + '='; var addy22678 = 'cw&#101;&#105;g&#101;l' + '&#64;'; addy22678 = addy22678 + 'gmx' + '&#46;' + 'n&#101;t'; document.write( '<a ' + path + '\
  3. 3. Mobile Agents: What about Them? Did They Deliver what They Promised? Are They Here to Stay?, by George Samaras,Department of Computer Science, University of ,Cyprus,CY-1678 Nicosia, Cyprus, <script language="JavaScript" type="text/javascript"> <!-- var prefix = 'm&#97;&#105;lt&#111;:'; var suffix = ''; var attribs = ''; var path = 'hr' + 'ef' + '='; var addy64842 = 'css&#97;m&#97;r&#97;' + '&#64;'; addy64842 = addy64842 + 'cs' + '&#46;' + '&#117;cy' + '&#46;' + '&#97;c' + '&#46;' + 'c
  4. 4. MOBILE AGENTS FOR CONTENT-BASED WWW
  5. 5. DISTRIBUTED IMAGE RETRIEVAL , by Sabu .M Thampi1, Dr. K. Chandra Sekaran2
  6. 6. Digital Watermark Mobile Agents* , by Jian Zhao and Chenghui Luo
  7. 7. Chess, D., Harrison, C., and Kershenbaum, A. (1997). Mobile agents: Are they a good idea? ,In: Mobile Object Systems: Towards the Programmable Internet, pp. 25-45. Springer-Verlag,
  8. 8. Cloud Garden’s Java Speech API, December 3 2002. URL: http://www.cloudgarden.com/JSAPI/. ,321 South Main Street,Providence, RI 02903
  9. 9. M. Cowling and R. Sitte. Sound identification and direction detection in matlab
  10. 10. For surveillance applications. In Proceedings of Australasian MATLAB Users Conference, November 2000.
  11. 11. R.H. Glitho, E. Olougouna, and S. Pierre. Mobile agents and their use for information retrieval: A brief overview and an elaborate case study. IEEE Network, 16(1):34–41, 2002.
  12. 12. D. Hagimont and L. Ismail. A Performance Evaluation of the Mobile Agent Paradigm. In Proceedings of the 1999 ACM SIGPLAN conference on Object oriented programming, systems, languages, and applications, pages 306–313.
  13. 13. ACM Press, 1999. ISBN 1-58113-238-7. Speech for Java, December 3 2002. URL: http://www.alphaworks.ibm.com/tech/speech.
  14. 14. IBM ViaVoice, December 3 2002. URL: http://www- 3.ibm.com/software/speech/.
  15. 15. Java Media Framework API, December 5 2002. URL: http://java.sun.com/products/java-media/jmf/.
  16. 16. Java Sound API, December 5 2002. URL: http://java.sun.com/products/javamedia/sound/.
  17. 17. Mitsuru Oshima, Guenter Karjoth, and Kouichi Ono. Aglets Specification 1.1 Draft. IBM Corp., September 1998.
  18. 18. S. Pfeiffer, S. Fischer, and W. Effelsberg. Automatic audio content analysis. In Proceedings of the fourth ACM international conference on Multimedia, pages 21–30. ACM Press, 1996. ISBN 0-89791-871-1.
  19. 19. M. Scarpa, M. Villari, A. Zaia, and A. Puliafito. From client/server to mobile agents: an in-depth analysis of the related performance aspects. In Seventh International Symposium on Computers and Communications, pages 768–773. IEEE Press, July 2002.
  20. 20. Sun Microsystems, Inc. Java Speech API Programmer’s Guide, October 1998.
  21. 21. Comparisonics’ homepage, September 27 2002. URL: http://www.comparisonics.com.
  22. 22. R. Polfreman and C. Spevak. Sound Spotting – a Frame-Based Approach. Technical report, University of Hertfordshire, 2001.
  23. 23. Surya Nepal, Uma Srinivasan, and Graham Reynolds. Automatic detection of ’goal’ segments in basketball videos. In Proceedings of the ninth ACM international conference on Multimedia, pages 261–269. ACM Press, 2001. ISBN 1-58113-394-4.
  24. 24. Performance Enhancement of E-Commerce Applications using Multiple Mobile Agents
Index Terms

Computer Science
Information Sciences

Keywords

CBSR Audio Aglet Information Systems