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SE6387 Advanced Software Engineering Project
Executive Masters of Science in Software Engineering
Advisor, Dr. Rym Z. Wenkstern
Use Case Diagram
An Indoor Interactive Navigation System for Mobile Devices
System Sequence Diagram
CometNAV is a simple to use
Cloud-enabled app that provides
an indoor navigation solution
using Near Field Communication
(NFC) technology.
As a component of the UTD Smart Campus Project,
CometNAV has the potential to provide navigational
assistance to students, faculty and guests throughout
the UT Dallas campus.
System Architecture
Cloud computing based on the open source LAMP
(Linux, Apache, MySQL, PHP) architecture in the UTD
Smart Campus Project
How it works
Scan Tag You Are
Here
Suggestive
Search
Location
details
 Identifies indoor position
 Highlights points of interest
 Utilizes suggestive search query
 Plots optimal route to destination
System Features
Future Enhancements
Search Criteria:
classroom, class,
event, office,
restroom, etc.
Optimal
Path
Rendered
Lewis Marty Cluck
Andrew BuiHariprasad Nagalla
Sushil Uday Muzumdar Tracey L. UddinTom Kurien
Real-time tracking using
Bluetooth low energy sensors
Navigation
between floors
Voice Assist
Multiple building
coverage
UTD Smart
Campus Project
integration
May 1, 2014 v3
Abstract
John B. Hamilton
Ajaykumar Aswathappa

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  • 1. SE6387 Advanced Software Engineering Project Executive Masters of Science in Software Engineering Advisor, Dr. Rym Z. Wenkstern Use Case Diagram An Indoor Interactive Navigation System for Mobile Devices System Sequence Diagram CometNAV is a simple to use Cloud-enabled app that provides an indoor navigation solution using Near Field Communication (NFC) technology. As a component of the UTD Smart Campus Project, CometNAV has the potential to provide navigational assistance to students, faculty and guests throughout the UT Dallas campus. System Architecture Cloud computing based on the open source LAMP (Linux, Apache, MySQL, PHP) architecture in the UTD Smart Campus Project How it works Scan Tag You Are Here Suggestive Search Location details Identifies indoor position Highlights points of interest Utilizes suggestive search query Plots optimal route to destination System Features Future Enhancements Search Criteria: classroom, class, event, office, restroom, etc. Optimal Path Rendered Lewis Marty Cluck Andrew BuiHariprasad Nagalla Sushil Uday Muzumdar Tracey L. UddinTom Kurien Real-time tracking using Bluetooth low energy sensors Navigation between floors Voice Assist Multiple building coverage UTD Smart Campus Project integration May 1, 2014 v3 Abstract John B. Hamilton Ajaykumar Aswathappa