Using case based data stream processing for smart house systems

The latest technological advances have allowed the development of smart home systems that establish a connection between humans and the devices that surround them, living in homes and working in fully automated companies. While these systems improve the quality of life of people in terms of comfort...

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Detalles Bibliográficos
Autores principales: Martínez, Alejandro Maximiliano, Granado Martínez, Natalia Lucía, Martín, María de los Ángeles
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2020
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/114880
http://49jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-05.pdf
Aporte de:
id I19-R120-10915-114880
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Data stream processing
Big data
Case based reasoning learning
Domotic
Ontology
spellingShingle Ciencias Informáticas
Data stream processing
Big data
Case based reasoning learning
Domotic
Ontology
Martínez, Alejandro Maximiliano
Granado Martínez, Natalia Lucía
Martín, María de los Ángeles
Using case based data stream processing for smart house systems
topic_facet Ciencias Informáticas
Data stream processing
Big data
Case based reasoning learning
Domotic
Ontology
description The latest technological advances have allowed the development of smart home systems that establish a connection between humans and the devices that surround them, living in homes and working in fully automated companies. While these systems improve the quality of life of people in terms of comfort, safety and energy savings, as they automate aspects such as lighting, temperature, humidity, among others; they lack an organizational memory that manages the knowledge of the preferences, customs and behavior patterns of the inhabitants of the home or company they automate. The aforementioned lack shows an opportunity to improve these products, taking into account that the market trend in domestic devices, is to maximize automation, making them increasingly intelligent, to make decisions proactively, and to collaborate with each other and with the human being for his better quality of life. In this paper we show that it is possible to improve the management of the data stream captured by the devices, providing them with interoperability through the use of ontologies and metadata, so that "intelligent modules" process the acquired knowledge automatically, with little intervention from the humans. Specifically, we will use the Processing Architecture based on Measurement Metadata (PAbMM) and the Case based Reasoning (CBR) technology to intelligently establish the environmental conditions of the home, in order to improve comfort and reduce energy consumption.
format Objeto de conferencia
Objeto de conferencia
author Martínez, Alejandro Maximiliano
Granado Martínez, Natalia Lucía
Martín, María de los Ángeles
author_facet Martínez, Alejandro Maximiliano
Granado Martínez, Natalia Lucía
Martín, María de los Ángeles
author_sort Martínez, Alejandro Maximiliano
title Using case based data stream processing for smart house systems
title_short Using case based data stream processing for smart house systems
title_full Using case based data stream processing for smart house systems
title_fullStr Using case based data stream processing for smart house systems
title_full_unstemmed Using case based data stream processing for smart house systems
title_sort using case based data stream processing for smart house systems
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/114880
http://49jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-05.pdf
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