Location Prediction in a Smart Environment

Abstract

The context prediction and especially the location prediction is an important feature for improving the performance of smart systems. Predicting the next location or context of the user make the system proactive, so the system will be capable to offer the suitable services to the user without his involving. In this paper, a new approach will be presented based on the combination of pattern technique and Bayesian network to predict the next location of the user. This approach was tested on real data set, our model was able to achieve 89% of the next location prediction accuracy.

Authors and Affiliations

Wael Ali Alosaimi, Ahmed Binmahfoudh, Roobaea Alroobaea, Atef Zaguia

Keywords

Related Articles

A Survey On Interactivity in Topic Models

Trying to make sense and gain deeper insight from large sets of data is becoming a task very central to computer science in general. Topic models, capable of uncovering the semantic themes pervading through large collect...

Analysis of End-to-End Packet Delay for Internet of Things in Wireless Communications

Accurate and efficient estimators for End to End delay (E2EPD) plays a significant and critical role in Quality of Service (QoS) provisioning in Internet of Things (IoT) wireless communications. The purpose of this paper...

Towards end-to-end Continuous Monitoring of Compliance Status Across Multiple Requirements

Monitoring compliance status by an organization has been historically difficult due to the growing number of compliance requirements being imposed by various standards, frameworks, and regulatory requirements. Existing...

New Speech Enhancement based on Discrete Orthonormal Stockwell Transform

S-transform is an effective time-frequency representation which gives simultaneous frequency and time distribution information alike the wavelet transforms (WT). However, the ST redundantly doubles the dimension of the o...

Evaluation and Comparison of Binary Trie base IP Lookup Algorithms with Real Edge Router IP Prefix Dataset

Internet network is comprised of routers that forward packets towards their destinations. IP routing lookup requires computing the Best-Matching Prefix. The main Functionality of Router is finding the Appropriate Path fo...

Download PDF file
  • EP ID EP498560
  • DOI 10.14569/IJACSA.2019.0100334
  • Views 69
  • Downloads 0

How To Cite

Wael Ali Alosaimi, Ahmed Binmahfoudh, Roobaea Alroobaea, Atef Zaguia (2019). Location Prediction in a Smart Environment. International Journal of Advanced Computer Science & Applications, 10(3), 264-269. https://europub.co.uk/articles/-A-498560