Blood Bank Management System

Authors

  • Prof. Priyanka Halle  Assistant Professor, Department of Electronics and Telecommunication, SKNSITS, Lonavala, Maharashtra, India
  • Smita Pakhare  Department of Electronics and Telecommunication, SKNSITS, Lonavala, Maharashtra, India
  • Pratiksha Funde  Department of Electronics and Telecommunication, SKNSITS, Lonavala, Maharashtra, India

Keywords:

Hidden web crawler, query optimization, search engines, metadata, document frequency, term eights

Abstract

Help Line is a voluntary and non-governmental organization. It maintains online library of blood donors in India. Sometimes Doctors and Blood bank project have to face the difficulty in finding the blood group Donors at right time. Help Line has attempted to provide the answer by taking upon itself the task of collecting Blood bank project nationwide for the cause and care of people in need. At any point of time the people who are in need can reach the donors through our search facility. By mobilizing people and organization who desire to make a difference in the lives of people in need. On the basis of humanity, everyone is welcome to register as a blood donor. Blood Bank Management System (BBMS) is a browser based system that is designed to store, process, retrieve and analyze information concerned with the administrative and inventory management within a blood bank. This project aims at maintaining all the information pertaining to blood donors, different blood groups available in each blood bank and help them manage in a better way. Aim is to provide transparency in this field, make the process of obtaining blood from a blood bank hassle free and corruption free and make the system of blood bank management effective.

References

  1. Michael Bergman, “The deep Web: surfacing hidden value”. In the Journal Of Electronic Publishing 7(1) (2001).
  2. S. Raghavan, H. Garcia-Molina. Crawling the Hidden Web. In: 27th International Conference on Very large databases (Rome, Italy, September 11-14, 2001) VLDB’01, 129-138, Morgan Kaufmann Publishers Inc., San Francisco, CA.
  3. S. W. Liddle, D. W. Embley, D. T. Scott, S. H. Yau. Extracting Data Behind Web Forms. In: 28th VLDB Conference2002 , HongKong, China.
  4. L. Barbosa, J. Freire : Siphoning hidden-web data through keyword-based interfaces. In: SBBD, 2004, Brasilia, Brazil, pp. 309-321.
  5. A. Ntoulas, P. Zerfos, J.Cho. Downloading Textual Hidden Web Content Through Keyword Queries. In: 5th ACM/IEEE Joint Conference on Digital Libraries (Denver, USA, Jun 2005) JCDL05, pp. 100-109.
  6. E.Agichtein, L. Gravano. “ Querying text Databases for Efficicnt Information Extraction”. In proceedings of the 19th IEEE International conference on Data Engineering (ICDE 2003) 2003
  7. Z. Wu, Lu Jiang, Q. Zheng, J.Liu, “Learning , to surface Deep Web content”. In proceedings of 24th AAAI conference on Artificial Intelligence, AAAI-1

International Journal of Scientific Research in Science, Engineering and Technology

Downloads

Published

2019-04-06

Issue

Volume 5, Issue 7, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prof. Priyanka Halle, Smita Pakhare, Pratiksha Funde "Blood Bank Management System" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 7, pp.403-405, March-April-2019.