Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/4862
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jyani, Kuldeep | - |
dc.date.accessioned | 2014-08-21T09:54:40Z | - |
dc.date.available | 2014-08-21T09:54:40Z | - |
dc.date.issued | 2014-06-01 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/4862 | - |
dc.description.abstract | We demonstrate the use mobile phones with standard Wi-Fi direct to get connect to group of peers and maintain information logs of connected device and recognize social patterns in daily activity of user,nd relationships between peers, identify signicant lo- cations, and form community groups.The Wi-Direct device can send the data to server and allow access to information,such as physical proximity of other peoples,and patterns of movement. Analysis of the information is necessary to form Community groups. We analyzed the information gathered through smartphones and generated graph of contact and intercontact time. | en_US |
dc.publisher | Institute of Technology | en_US |
dc.relation.ispartofseries | 12MICT50; | - |
dc.subject | Computer 2012 | en_US |
dc.subject | Project Report 2012 | en_US |
dc.subject | Computer Project Report | en_US |
dc.subject | Project Report | en_US |
dc.subject | 12MICT | en_US |
dc.subject | 12MICT50 | en_US |
dc.subject | ICT | en_US |
dc.subject | ICT 2012 | en_US |
dc.subject | CE (ICT) | en_US |
dc.title | Mobility Trace Analysis | en_US |
dc.type | Dissertation | en_US |
Appears in Collections: | Dissertation, CE (ICT) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
12MICT50.pdf | 12MICT50 | 1.57 MB | Adobe PDF | ![]() View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.