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The technologies of a smart home and artificial intelligence (AI) are now inextricably linked. The perception and consideration of these technologies as a single system will make it possible to significantly simplify the approach to their study, design and implementation. The introduction of AI in managing the infrastructure of a smart home is a process of irreversible close future at the level with personal assistants and autopilots. It is extremely important to standardize, create and follow the typical models of information gathering and device management in a smart home, which should lead in the future to create a data analysis model and decision making through the software implementation of a specialized AI. AI techniques such as multi-agent systems, neural networks, fuzzy logic will form the basis for the functioning of a smart home in the future. The problems of diversity of data and models and the absence of centralized popular team decisions in this area significantly slow down further development. A big problem is a low percentage of open source data and code in the smart home and the AI when the research results are mostly unpublished and difficult to reproduce and implement independently. The proposed ways of finding solutions to models and standards can significantly accelerate the development of specialized AIs to manage a smart home and create an environment for the emergence of native innovative solutions based on analysis of data from sensors collected by monitoring systems of smart home. Particular attention should be paid to the search for resource savings and the profit from surpluses that will push for the development of these technologies and the transition from a level of prospect to technology exchange and the acquisition of benefits.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Numer
Strony
2007-2012
Opis fizyczny
Daty
wydano
2018-09-20
Twórcy
autor
- Lviv Branch of Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan
autor
- Lviv University of Business and Law
autor
- Lviv University of Business and Law
autor
- Lviv University of Business and Law
autor
- Lesya Ukrainka Eastern European National University
Bibliografia
- Statista. (2018). Forecast market size of the global smart home market from 2016 to 2022 (in billion U.S. dollars). Retrieved July 1, 2018, from https://www.statista.com/statistics/682204/global-smart-home-market-size/
- Statista. (2018). Revenues from the artificial intelligence (AI) market worldwide from 2016 to 2025 (in million U.S. dollars). Retrieved July 1, 2018, from https://www.statista.com/statistics/607716/worldwide-artificial-intelligence-market-revenues/
- Harper, R. (2005). Inside the Smart Home. London: Springer.
- Harper, R. (2012). The Connected Home: The Future of Domestic Life. Dordrecht: Springer.
- Hargreaves, T., & Wilson, C. (2017). Smart Homes and Their Users. Cham: Springer International Publishing
- Hensel, B. K., & Demiris, G. (2008). Technologies for an Aging Society: A Systematic Review of “Smart Home” Applications. Yearbook of Medical Informatics, 17(01), 33–40. doi: 10.1055/s-0038-1638580
- Moran, R. (1993). The electronic home: Social and spatial aspects. Luxemburg: Office for official publications of the European communities.
- Kurzweil, R. (2016). The singularity is near: When humans transcend biology. London: Duckworth.
- Russell, S., & Norvig, P. (2003). Artificial Intelligence: A Modern Approach (2nd ed.). Upper Saddle River: Pearson.
- Venture Scanner. (2018, January 19). Interest in AI Startups Exploded in 2017. Retrieved from https://www.venturescanner.com/blog/2018/interest-in-ai-startups-exploded-in-2017
- Augusto, J. C., & Nugent, C. D. (2006). Designing Smart Homes: The Role of Artificial Intelligence. Berlin Heidelberg: Springer-Verlag GmbH.
- Teich, T., Roessler, F., Kretz, D., & Franke, S. (2014). Design of a Prototype Neural Network for Smart Homes and Energy Efficiency. Procedia Engineering, 69, 603–608. doi: 10.1016/j.proeng.2014.03.032
Typ dokumentu
Bibliografia
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