2020
DOI: 10.1016/j.simpat.2019.101993
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Hybrid simulation system for testing artificial intelligence algorithms used in smart homes

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Cited by 16 publications
(5 citation statements)
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“…intelligence was reduced by 51% when comparing smart houses with and without and The trend of today's time is the smart home or smart houses. Bicakci and Gunes [29] mention that nowadays homes with systems that can be accessed remotely to turn devices on and off are referred to as "smart". However, there is no intelligent automation process in such houses.…”
Section: Threats -Insufficient Ai Reference In Strategicconceptual Do...mentioning
confidence: 99%
“…intelligence was reduced by 51% when comparing smart houses with and without and The trend of today's time is the smart home or smart houses. Bicakci and Gunes [29] mention that nowadays homes with systems that can be accessed remotely to turn devices on and off are referred to as "smart". However, there is no intelligent automation process in such houses.…”
Section: Threats -Insufficient Ai Reference In Strategicconceptual Do...mentioning
confidence: 99%
“…Current automation solutions like Alexa and Google Assistant lack the flexibility to support the conventional home appliances that are cheaper and easily replaceable but provide support to the smart home appliances that are proprietary appliances like the Smart Bulbs and other Alexa enabled or Google Assistant-enabled devices from the vendors [21]. Some projects can provide control over home appliances over the internet, but they too require a static IP assigned to the home network which is not common for users to have a static IP for their home networks [22], [23]. Automating every home appliance that is not made to work with AI or a home automation system built-in and to provide cost-efficient and a completely automated or user-friendly way to control the environment through voice or mobile application over the internet from anywhere across the world [24], [25].…”
Section: Related Workmentioning
confidence: 99%
“…• Artificial Intelligence and Machine Learning: Effective artificial intelligence and machine learning techniques can be employed to predict the future workload on available resources [43]. Users can do predictive analysis using artificial intelligence and machine learning techniques to forecast the optimal value of control parameters of metaheuristic techniques deployed in their optimization problem [14]. • IoT Applications: Tasks distribution over reduced number of computing resources is useful to various IoT applications including healthcare, agriculture, traffic management.…”
Section: Future Research Directionsmentioning
confidence: 99%