Intelligent Time-Based Tracking for Security Systems

It is smart everything time, and a toilet too. Smart Home: A place we consider to be our home and the people that live in this is smart; it makes a human's life easier by making their lifestyle smarter. Within the next smart home era, on-the-fly space acting and sensing flexible applications are expected to be monitored by hundreds if not thousands of sensors over such a place. This data can then help utilize these sensors in providing automation of everyday life services without interrupting the work frequently. There must be some level of sophistication in a system to predict the future by knowing (limitedly) its own existence. To begin with, this paper provides the necessary background of what it takes to predict smart home reconstructions It then looks into popular prediction algorithms to detect and predict occupant behaviour with its substitution in the context of pervasive computing that mainly revolves around smart environments, such as a smart home. This is the smart home - with these predictive algorithms. This type wise introduction and comparison of prediction algorithms.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/i3ceet61722.2024.10993637
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Intelligent Time-Based Tracking for Security Systems

Arti Badhoutiya, N. Esanmurodova, Mohammed Al‐Farouni, Jaspreet Kaur et al.
Network Security and Intrusion Detection
article

Intelligent Time-Based Tracking for Security Systems

Arti Badhoutiya, N. Esanmurodova, Mohammed Al‐Farouni, Jaspreet Kaur, Shweta Goyal, Srijana Karnatak
article en

Abstract

It is smart everything time, and a toilet too. Smart Home: A place we consider to be our home and the people that live in this is smart; it makes a human's life easier by making their lifestyle smarter. Within the next smart home era, on-the-fly space acting and sensing flexible applications are expected to be monitored by hundreds if not thousands of sensors over such a place. This data can then help utilize these sensors in providing automation of everyday life services without interrupting the work frequently. There must be some level of sophistication in a system to predict the future by knowing (limitedly) its own existence. To begin with, this paper provides the necessary background of what it takes to predict smart home reconstructions It then looks into popular prediction algorithms to detect and predict occupant behaviour with its substitution in the context of pervasive computing that mainly revolves around smart environments, such as a smart home. This is the smart home - with these predictive algorithms. This type wise introduction and comparison of prediction algorithms.

Iraqi University (IQ), Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (UZ), Graphic Era University (IN), GLA University (IN), Punjab Engineering College (IN)
Affordable and clean energy
Openalex Percentile: Top 64%
Network Security and Intrusion Detection
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