Ontological Model to Predict user Mobility

Abstract

With the remarkable technological evolution of mobile devices, the use of computing resources has become possible at any time and independent of the geographical position of the user. This phenomenon has various names such as omnipresent diffuse computing, pervasive computing, or ubiquitous systems. This new form of computing allows users to have access to shared and ubiquitous services focused on their needs, and it is based on context prediction, especially the prediction of the user’s location. This paper aims to present a new approach for predicting a user’s next probable location, by presenting an ontological model which is based on the pattern technique. This is carried out by using an ontological model that comprises different user behaviors and presents details about the environment, where the user is located. The results after tested on real data show that the presented ontological model was able to achieve 85% future location-prediction accuracy (in the case of no similar patterns). Future work will focus on the integration of the Bayesian network to improve the results. This approach will be implemented in smart homes or smart cities to reduce energy consumption.

Authors and Affiliations

Atef Zaguia, Roobaea Alroobaea

Keywords

Related Articles

Achieving High Privacy Protection in Location-based Recommendation Systems

In recent years, privacy has become great attention in the research community. In Location-based Recommendation Systems (LbRSs), the user is constrained to build queries depend on his actual position to search for the cl...

Pilot Study: The Use of Electroencephalogram to Measure Attentiveness towards Short Training Videos

Universities, schools, and training centers are seeking to improve their computer-based [3] and distance learning classes through the addition of short training videos, often referred to as podcasts [4]. As distance lear...

The Throughput Flow Constraint Theorem and its Applications

The paper states and proves an important result related to the theory of flow networks with disturbed flows:“the throughput flow constraint in any network is always equal to the throughput flow constraint in its dual net...

A Study on the Effect of Learning Strategy using a Highlighter Pen on Gaze Movement

In this study, we propose a learning strategy using a highlighter pen to improve the learning efficiency of learners. This method makes the important information stand out by colouring text. It is known that highlighting...

Design and Analysis of a Novel Low-Power SRAM Bit-Cell Structure at Deep-Sub-Micron CMOS Technology for Mobile Multimedia Applications

The growing demand for high density VLSI circuits and the exponential dependency of the leakage current on the oxide thickness is becoming a major challenge in deep-sub-micron CMOS technology. In this work, a novel Stati...

Download PDF file
  • EP ID EP468618
  • DOI 10.14569/IJACSA.2019.0100253
  • Views 103
  • Downloads 0

How To Cite

Atef Zaguia, Roobaea Alroobaea (2019). Ontological Model to Predict user Mobility. International Journal of Advanced Computer Science & Applications, 10(2), 407-413. https://europub.co.uk/articles/-A-468618