Computational Enhancement of All Possible Context Generation in Modified-SPEED Algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the rising demand for smart devices and smart home systems, automation and activity prediction have become a vital aspect of people's everyday lives. Researchers have focused on developing approaches which detect patterns in user activities and used them to predict future actions. One such system is Modified Sequence Prediction via Enhanced Episode Discovery (M-SPEED) that uses spatiotemporal data of activities of daily lives to analyze user behaviors. But computational overhead of run time and memory causes this algorithm to show poor performance in case of large datasets. This research focuses on modifying the M-SPEED algorithm to improve its capability to run on larger dataset while at the same time improving run time. Proof of algorithm effectiveness is provided to ensure system validity, and simulation is carried out on real life data. The results demonstrate a 66.69% improvement in cumulative memory efficiency and 37% faster run time, confirming the effectiveness of the proposal.

Original languageEnglish
Title of host publication2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1424-1428
Number of pages5
ISBN (Electronic)9781538653142
DOIs
Publication statusPublished - 30 Nov 2018
Event7th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018 - Bangalore, India
Duration: 19 Sep 201822 Sep 2018

Other

Other7th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018
CountryIndia
CityBangalore
Period19/9/1822/9/18

Fingerprint

Data storage equipment
Automation

Keywords

  • Activity prediction
  • M-SPEED
  • Smart home
  • SPEED

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

Cite this

Farayez, A., Ibne Reaz, M. M., & Arsad, N. (2018). Computational Enhancement of All Possible Context Generation in Modified-SPEED Algorithm. In 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018 (pp. 1424-1428). [8554387] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACCI.2018.8554387

Computational Enhancement of All Possible Context Generation in Modified-SPEED Algorithm. / Farayez, Araf; Ibne Reaz, Md. Mamun; Arsad, Norhana.

2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1424-1428 8554387.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Farayez, A, Ibne Reaz, MM & Arsad, N 2018, Computational Enhancement of All Possible Context Generation in Modified-SPEED Algorithm. in 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018., 8554387, Institute of Electrical and Electronics Engineers Inc., pp. 1424-1428, 7th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018, Bangalore, India, 19/9/18. https://doi.org/10.1109/ICACCI.2018.8554387
Farayez A, Ibne Reaz MM, Arsad N. Computational Enhancement of All Possible Context Generation in Modified-SPEED Algorithm. In 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1424-1428. 8554387 https://doi.org/10.1109/ICACCI.2018.8554387
Farayez, Araf ; Ibne Reaz, Md. Mamun ; Arsad, Norhana. / Computational Enhancement of All Possible Context Generation in Modified-SPEED Algorithm. 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1424-1428
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