Artificial intelligence monitoring at the edge for smart nation deployment

Artificial intelligence monitoring at the edge for smart nation deployment

Artificial Intelligence Monitoring at the Edge basically monitors the urban noise classes and sound pressure level in Singapore urban area. In this project, I processed raw Singapore urban noise data collected from Yuhua garden and trained the classifier for 8 different classes of Singapore urban no...

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Bibliographic Details
Main Author: Wang, Ziao
Other Authors: Gan Woon Seng
Format: Final Year Project
Language:English
Published: 2019
Subjects:
DRNTU::Engineering::Electrical and electronic engineering
Online Access:http://hdl.handle.net/10356/77286
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-77286
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spelling sg-ntu-dr.10356-772862023-07-07T16:03:45Z Artificial intelligence monitoring at the edge for smart nation deployment Wang, Ziao Gan Woon Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Artificial Intelligence Monitoring at the Edge basically monitors the urban noise classes and sound pressure level in Singapore urban area. In this project, I processed raw Singapore urban noise data collected from Yuhua garden and trained the classifier for 8 different classes of Singapore urban noise with processed noise data using machine learning method. Five different machine learning models are used to train the classifier and their performance are compared to find out the optimizing model under this noise classification scenario. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-05-24T02:44:47Z 2019-05-24T02:44:47Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77286 en Nanyang Technological University 55 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
Wang, Ziao
Artificial intelligence monitoring at the edge for smart nation deployment
description Artificial Intelligence Monitoring at the Edge basically monitors the urban noise classes and sound pressure level in Singapore urban area. In this project, I processed raw Singapore urban noise data collected from Yuhua garden and trained the classifier for 8 different classes of Singapore urban noise with processed noise data using machine learning method. Five different machine learning models are used to train the classifier and their performance are compared to find out the optimizing model under this noise classification scenario.
author2 Gan Woon Seng
author_facet Gan Woon Seng
Wang, Ziao
format Final Year Project
author Wang, Ziao
author_sort Wang, Ziao
title Artificial intelligence monitoring at the edge for smart nation deployment
title_short Artificial intelligence monitoring at the edge for smart nation deployment
title_full Artificial intelligence monitoring at the edge for smart nation deployment
title_fullStr Artificial intelligence monitoring at the edge for smart nation deployment
title_full_unstemmed Artificial intelligence monitoring at the edge for smart nation deployment
title_sort artificial intelligence monitoring at the edge for smart nation deployment
publishDate 2019
url http://hdl.handle.net/10356/77286
_version_ 1772825334145613824

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