search query: @instructor Verkasalo, Hannu / total: 13
results-list
reference: 7 / 13
« previous | next »
Author:Jiménez Salmerón, Borja
Title:Modeling of Mobile End-User Context
Modelado del contexto de usuarios móbiles
Publication type:Final Project work
Publication year:2008
Pages:viii + 89 s. + liitt. 9      Language:   eng
Department/School:Tietoliikenne- ja tietoverkkotekniikan laitos
Main subject:Tietoverkkotekniikka   (S-38)
Supervisor:Hämmäinen, Heikki
Instructor:Verkasalo, Hannu
Electronic version URL: http://urn.fi/urn:nbn:fi:tkk-012539
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
Instructions
close

Reading digital theses in the closed network of the Aalto University Harald Herlin Learning Centre

In the closed network of Learning Centre you can read digital and digitized theses not available in the open network.

The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/

You can read theses on the Learning Centre customer computers, which are available on all floors.

Logging on to the customer computers

  • Aalto University staff members log on to the customer computer using the Aalto username and password.
  • Other customers log on using a shared username and password.

Opening a thesis

  • On the desktop of the customer computers, you will find an icon titled:

    Aalto Thesis Database

  • Click on the icon to search for and open the thesis you are looking for from Aaltodoc database. You can find the thesis file by clicking the link on the OEV or OEVS field.

Reading the thesis

  • You can either print the thesis or read it on the customer computer screen.
  • You cannot save the thesis file on a flash drive or email it.
  • You cannot copy text or images from the file.
  • You cannot edit the file.

Printing the thesis

  • You can print the thesis for your personal study or research use.
  • Aalto University students and staff members may print black-and-white prints on the PrintingPoint devices when using the computer with personal Aalto username and password. Color printing is possible using the printer u90203-psc3, which is located near the customer service. Color printing is subject to a charge to Aalto University students and staff members.
  • Other customers can use the printer u90203-psc3. All printing is subject to a charge to non-University members.
Location:P1 Ark Aalto  7414   | Archive
Keywords:context
modeling
algorithm
visualization
Abstract (eng):Emerging mobile services have spawned new revenue sources, such as messaging, Internet browsing and multimedia.
One of the business opportunities that mobile industry has not yet fully exploited is the contextual status of end-users.
Context-aware systems are gaining importance in telecommunications since the applications are numerous and have relevance from the industrial (e.g. in aspects involving user segmentation) and academic (e.g. analysis of mobile service adoption dynamics) points of view.

This thesis first presents a theoretical discussion: evolution of telecommunications services, prior studies in context-aware systems and other concepts such as data mining techniques and network theory, and network visualization.
The second part focuses on the development of a context detection algorithm.
This algorithm extracts contextual information from data logs containing cell-id transitions.
It follows two steps in context detection: first a clustering process where physically close cells are grouped into clusters and second the context detection for every one of those clusters by using time-based assumptions.
The thesis uses a handset-based tool in collecting data logs.
The strength and accuracy of the algorithm are tested through analysis of the output files.
Finally, a study of real data (from the Finnish market) is carried out in order to deliver results.
Through this analysis, the thesis focuses on the service usage perspective.
The driving question is how and where the end-users spend their time with the handsets.

Context is not only about location but also about the physical status and social settings of end-users.
Context detection provides a new dimension for example in service usage analysis or modeling of service adoption.
The results show that e.g. most of the usage of WLAN takes place at "home" and applications such as "Navigation and Maps" or "Browsing" are used "on the move" context.
Intensity graphs prove that e.g.
"Home" is not the most active context despite being the most frequent one and the intensity of usage abroad is most active in "Multimedia" and "Messaging" applications.
On the other hand, there is a significant business opportunity in applications that automatically identify the context of mobile users (all their movements along the day).
Targeted marketing and handset-based contextual adaptation are some of the examples of possible applications.
At last, the thesis confirms that network visualization tools are useful in the process of context modeling, not only for testing the results but also to help in the detection by using all their functionalities (as e.g. clustering).
Some examples using one specific tool will be provided at the end.
ED:2008-12-11
INSSI record number: 36608
+ add basket
« previous | next »
INSSI