A feasibility study for ambient intelligence based on Arduino and server structure

This paper describes machine learning application in ambient intelligence. The traditional regression analysis in ambient intelligence is based on the mathematical model. While the inductive learning algorithm proposed in this paper is based on big data. The inductive learning algorithm used in ambi...

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Main Author:	Li, Qi
Other Authors:	Gan Woon Seng
Format:	Theses and Dissertations
Language:	English
Published:	2018
Subjects:	DRNTU::Engineering::Electrical and electronic engineering
Online Access:	http://hdl.handle.net/10356/73119
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-73119
record_format	dspace
spelling	sg-ntu-dr.10356-731192023-07-04T15:47:57Z A feasibility study for ambient intelligence based on Arduino and server structure Li, Qi Gan Woon Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This paper describes machine learning application in ambient intelligence. The traditional regression analysis in ambient intelligence is based on the mathematical model. While the inductive learning algorithm proposed in this paper is based on big data. The inductive learning algorithm used in ambient intelligence takes the Candidate-Elimination algorithm and Rote-Learner algorithm core ideas as references. Therefore, the output of inductive learning algorithm will be more flexible and accurate than regression analysis. This inductive learning algorithm has been tested in a simple ambient intelligence system based on Arduino and server structure and it performs well. Master of Science (Communications Engineering) 2018-01-03T06:37:36Z 2018-01-03T06:37:36Z 2018 Thesis http://hdl.handle.net/10356/73119 en 61 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering Li, Qi A feasibility study for ambient intelligence based on Arduino and server structure
description	This paper describes machine learning application in ambient intelligence. The traditional regression analysis in ambient intelligence is based on the mathematical model. While the inductive learning algorithm proposed in this paper is based on big data. The inductive learning algorithm used in ambient intelligence takes the Candidate-Elimination algorithm and Rote-Learner algorithm core ideas as references. Therefore, the output of inductive learning algorithm will be more flexible and accurate than regression analysis. This inductive learning algorithm has been tested in a simple ambient intelligence system based on Arduino and server structure and it performs well.
author2	Gan Woon Seng
author_facet	Gan Woon Seng Li, Qi
format	Theses and Dissertations
author	Li, Qi
author_sort	Li, Qi
title	A feasibility study for ambient intelligence based on Arduino and server structure
title_short	A feasibility study for ambient intelligence based on Arduino and server structure
title_full	A feasibility study for ambient intelligence based on Arduino and server structure
title_fullStr	A feasibility study for ambient intelligence based on Arduino and server structure
title_full_unstemmed	A feasibility study for ambient intelligence based on Arduino and server structure
title_sort	feasibility study for ambient intelligence based on arduino and server structure
publishDate	2018
url	http://hdl.handle.net/10356/73119
_version_	1772825703210811392

A feasibility study for ambient intelligence based on Arduino and server structure

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