Employee Tracking using Human Foot Printing System

Authors

  • Ashish Pandey  Information Technology, Mumbai University/PVPPCOE, Mumbai, Maharashtra, India
  • Sayali Chaudhary  Information Technology, Mumbai University/PVPPCOE, Mumbai, Maharashtra, India
  • Prathamesh Waidande  Information Technology, Mumbai University/PVPPCOE, Mumbai, Maharashtra, India
  • Rahul Gupta  Information Technology, Mumbai University/PVPPCOE, Mumbai, Maharashtra, India
  • Mrs. Prachi Khirsagar  Information Technology, Mumbai University/PVPPCOE, Mumbai, Maharashtra, India

Keywords:

REST(Representational State Transformation), URIs(Uniform Resource Identifier), SOA(Service Oriented Architecture), GPS(Global Positioning System), UI(User interface).

Abstract

The Global Positioning System (GPS) is being adopted by private and public enterprise to track and monitor humans for location based services (LBS). This paper focuses on developing an application for tracking employee’s going for various work. Location-based services or LBS is a term that is derived from the telematics and telecom world. This system is GPS enabled android mobile phone whose location is tracked, GPS has the ability to calculate the position, time, and velocity of any GPS receiver, the longitude and latitude of a subject 24/7/365.

References

  1. https://www.ijirset.com/upload/march/15_Mobile%20Tracking.pdf [Radhika Kinage]
  2. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6762971&queryText%3Dandroid+web+service [ Jonathan Lee Dept. of Computer Sci.& Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan]
  3. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6726550&queryText%3Dandroid+ web+service [Mohammed Husain Bohara DA-IICT, Gandhinagar, India]
  4. http://www.asp.net/: This is the official MicrosoftASP.NET web site. It has a lot of: tutorials, training videos, and sample projects.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-04-30

Issue

Volume 2, Issue 2, March-April-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Ashish Pandey, Sayali Chaudhary, Prathamesh Waidande, Rahul Gupta, Mrs. Prachi Khirsagar, " Employee Tracking using Human Foot Printing System" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.828-831, March-April-2017.