Environmental data collection from sensor infrastructure for smart nation project
Data annotation is the process of labelling data to provide the desired outcome that the model should predict. This process usually requires an exorbitant amount of cost and effort if the annotation is done by human annotators. In this project, an automated data labelling model will be implemented t...
| Váldodahkki: | |
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| Eará dahkkit: | |
| Materiálatiipa: | Final Year Project (FYP) |
| Giella: | English |
| Almmustuhtton: |
Nanyang Technological University
2021
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| Fáttát: | |
| Liŋkkat: | https://hdl.handle.net/10356/150117 |
| _version_ | 1826129688563548160 |
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| author | Ng, Xin Lei |
| author2 | Gan Woon Seng |
| author_facet | Gan Woon Seng Ng, Xin Lei |
| author_sort | Ng, Xin Lei |
| collection | NTU |
| description | Data annotation is the process of labelling data to provide the desired outcome that the model should predict. This process usually requires an exorbitant amount of cost and effort if the annotation is done by human annotators. In this project, an automated data labelling model will be implemented to predict the event onset and offset. The network architecture to be implemented consists of pre-trained VGG16 together with bi-directional GRU layer. The model performance will be using event-based macro F1 score, intersection over union, precision and recall for evaluation |
| first_indexed | 2024-10-01T07:44:37Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/150117 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:44:37Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1501172023-07-07T18:15:43Z Environmental data collection from sensor infrastructure for smart nation project Ng, Xin Lei Gan Woon Seng School of Electrical and Electronic Engineering EWSGAN@ntu.edu.sg Engineering::Electrical and electronic engineering Data annotation is the process of labelling data to provide the desired outcome that the model should predict. This process usually requires an exorbitant amount of cost and effort if the annotation is done by human annotators. In this project, an automated data labelling model will be implemented to predict the event onset and offset. The network architecture to be implemented consists of pre-trained VGG16 together with bi-directional GRU layer. The model performance will be using event-based macro F1 score, intersection over union, precision and recall for evaluation Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-12T07:17:48Z 2021-06-12T07:17:48Z 2021 Final Year Project (FYP) Ng, X. L. (2021). Environmental data collection from sensor infrastructure for smart nation project. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150117 https://hdl.handle.net/10356/150117 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Ng, Xin Lei Environmental data collection from sensor infrastructure for smart nation project |
| title | Environmental data collection from sensor infrastructure for smart nation project |
| title_full | Environmental data collection from sensor infrastructure for smart nation project |
| title_fullStr | Environmental data collection from sensor infrastructure for smart nation project |
| title_full_unstemmed | Environmental data collection from sensor infrastructure for smart nation project |
| title_short | Environmental data collection from sensor infrastructure for smart nation project |
| title_sort | environmental data collection from sensor infrastructure for smart nation project |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/150117 |
| work_keys_str_mv | AT ngxinlei environmentaldatacollectionfromsensorinfrastructureforsmartnationproject |