Smart Home and Artificial Intelligence as Environment for the Implementation of New Technologies

Vasyl Kopytko, Andriy Shevchuk, Larysa Yankovska, Zhanna Semchuk and Rostyslav Strilchuk
Additional contact information
Vasyl Kopytko: Lviv Branch of Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan
Andriy Shevchuk: Cherkasy State Technological University
Larysa Yankovska: Lviv University of Business and Law
Zhanna Semchuk: Lviv University of Business and Law
Rostyslav Strilchuk: Lesya Ukrainka Eastern European National University

Traektoriâ Nauki = Path of Science, 2018, vol. 4, issue 9, 2007-2012

Abstract: 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is a low percentage of open source data and code in the smart home and the AI when the research results are mostly unpublished and difficult to reproduce and implement independently.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.

Keywords: smart home; artificial intelligence; technologies implementation (search for similar items in EconPapers)
JEL-codes: O10 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://pathofscience.org/index.php/ps/article/download/553/564 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pos:journl:38-2

Ordering information: This journal article can be ordered from

DOI: 10.22178/pos.38-2

Access Statistics for this article

Traektoriâ Nauki = Path of Science is currently edited by Andrey Kataev

More articles in Traektoriâ Nauki = Path of Science from Altezoro, s.r.o. & Dialog
Bibliographic data for series maintained by Andrey Kataev ( this e-mail address is bad, please contact ).