Development of a smart gateway based on smart building system

A smart building system (SBS) can achieve a building automation and energy optimization through control of an interconnected network of physical components. Indoor positioning system (IPS) is a critical input to optimize the operational performance of a building. However, to perform real-time data a...

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Bibliographic Details
Main Author: Liu, Yutong
Other Authors: Yu Hao
Format: Final Year Project (FYP)
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/67915
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author Liu, Yutong
author2 Yu Hao
author_facet Yu Hao
Liu, Yutong
author_sort Liu, Yutong
collection NTU
description A smart building system (SBS) can achieve a building automation and energy optimization through control of an interconnected network of physical components. Indoor positioning system (IPS) is a critical input to optimize the operational performance of a building. However, to perform real-time data analytics for indoor positioning is challenging due to limited computing resources on SBS Internet-of-things (IoT) platform. This research studies a Wi-Fi-based IPS that is specifically designed for SBS and explores the performance improvement with proposed distributed machine learning algorithms. This paper compares the different indoor positioning system and explain why the Wi-Fi based system is chosen. As an extension research, this research applied a new algorithm to compare the difference between SVM and this algorithm these two approaches. Compared with SVM, ELM has a better performance on saving time with a fast learning speed. The distributed algorithm shows a higher accuracy than basic ones. As an extension research, this paper not only explored more deeply based on previous job, also made a good preparation for future work.
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spelling ntu-10356/679152023-07-07T16:47:42Z Development of a smart gateway based on smart building system Liu, Yutong Yu Hao School of Electrical and Electronic Engineering DRNTU::Engineering A smart building system (SBS) can achieve a building automation and energy optimization through control of an interconnected network of physical components. Indoor positioning system (IPS) is a critical input to optimize the operational performance of a building. However, to perform real-time data analytics for indoor positioning is challenging due to limited computing resources on SBS Internet-of-things (IoT) platform. This research studies a Wi-Fi-based IPS that is specifically designed for SBS and explores the performance improvement with proposed distributed machine learning algorithms. This paper compares the different indoor positioning system and explain why the Wi-Fi based system is chosen. As an extension research, this research applied a new algorithm to compare the difference between SVM and this algorithm these two approaches. Compared with SVM, ELM has a better performance on saving time with a fast learning speed. The distributed algorithm shows a higher accuracy than basic ones. As an extension research, this paper not only explored more deeply based on previous job, also made a good preparation for future work. Bachelor of Engineering 2016-05-23T07:05:15Z 2016-05-23T07:05:15Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67915 en Nanyang Technological University 57 p. application/pdf
spellingShingle DRNTU::Engineering
Liu, Yutong
Development of a smart gateway based on smart building system
title Development of a smart gateway based on smart building system
title_full Development of a smart gateway based on smart building system
title_fullStr Development of a smart gateway based on smart building system
title_full_unstemmed Development of a smart gateway based on smart building system
title_short Development of a smart gateway based on smart building system
title_sort development of a smart gateway based on smart building system
topic DRNTU::Engineering
url http://hdl.handle.net/10356/67915
work_keys_str_mv AT liuyutong developmentofasmartgatewaybasedonsmartbuildingsystem