Intelligent clasification sewage treatment plant (STP) using E-nose
The environment is an invaluable gift. In an era of progress, economic activities and development projects are often carried out to improve living standards and keep pace with other developed countries. However, this activity has had a negative impact on the environment because some parties still fa...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Penerbit UMP
2020
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/33624/ http://umpir.ump.edu.my/id/eprint/33624/1/Intelligent%20clasification%20sewage%20treatment%20plant.pdf |
| _version_ | 1848824302469644288 |
|---|---|
| author | Fatin Munirah, Nasarudin Muhammad Sharfi, Najib Suhaimi, Mohd Daud Mujahid, Mohamad Saiful Nizam, Tajuddin Che Mohd Aizal, Che Mohd |
| author_facet | Fatin Munirah, Nasarudin Muhammad Sharfi, Najib Suhaimi, Mohd Daud Mujahid, Mohamad Saiful Nizam, Tajuddin Che Mohd Aizal, Che Mohd |
| author_sort | Fatin Munirah, Nasarudin |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The environment is an invaluable gift. In an era of progress, economic activities and development projects are often carried out to improve living standards and keep pace with other developed countries. However, this activity has had a negative impact on the environment because some parties still fail to control the disposal of waste that can cause environmental pollution. The effects of this pollution can give to discomfort and disruption to the life of the community. It is because the effects of toxic emissions have caused air pollution to spread foul odors. Therefore, this study was conducted to classify air odor and water odor from the treatment plant in the area of Universiti Malaysia Pahang, Gambang Campus. The classification of air and water odors was done using case-based reasoning. |
| first_indexed | 2025-11-15T03:10:52Z |
| format | Article |
| id | ump-33624 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:10:52Z |
| publishDate | 2020 |
| publisher | Penerbit UMP |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-336242022-04-05T03:15:08Z http://umpir.ump.edu.my/id/eprint/33624/ Intelligent clasification sewage treatment plant (STP) using E-nose Fatin Munirah, Nasarudin Muhammad Sharfi, Najib Suhaimi, Mohd Daud Mujahid, Mohamad Saiful Nizam, Tajuddin Che Mohd Aizal, Che Mohd TK Electrical engineering. Electronics Nuclear engineering TS Manufactures The environment is an invaluable gift. In an era of progress, economic activities and development projects are often carried out to improve living standards and keep pace with other developed countries. However, this activity has had a negative impact on the environment because some parties still fail to control the disposal of waste that can cause environmental pollution. The effects of this pollution can give to discomfort and disruption to the life of the community. It is because the effects of toxic emissions have caused air pollution to spread foul odors. Therefore, this study was conducted to classify air odor and water odor from the treatment plant in the area of Universiti Malaysia Pahang, Gambang Campus. The classification of air and water odors was done using case-based reasoning. Penerbit UMP 2020-06 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/33624/1/Intelligent%20clasification%20sewage%20treatment%20plant.pdf Fatin Munirah, Nasarudin and Muhammad Sharfi, Najib and Suhaimi, Mohd Daud and Mujahid, Mohamad and Saiful Nizam, Tajuddin and Che Mohd Aizal, Che Mohd (2020) Intelligent clasification sewage treatment plant (STP) using E-nose. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 2 (1). pp. 79-88. ISSN 2637-0883. (Published) https://doi.org/10.15282/mekatronika.v2i1.6746 https://doi.org/10.15282/mekatronika.v2i1.6746 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Fatin Munirah, Nasarudin Muhammad Sharfi, Najib Suhaimi, Mohd Daud Mujahid, Mohamad Saiful Nizam, Tajuddin Che Mohd Aizal, Che Mohd Intelligent clasification sewage treatment plant (STP) using E-nose |
| title | Intelligent clasification sewage treatment plant (STP) using E-nose |
| title_full | Intelligent clasification sewage treatment plant (STP) using E-nose |
| title_fullStr | Intelligent clasification sewage treatment plant (STP) using E-nose |
| title_full_unstemmed | Intelligent clasification sewage treatment plant (STP) using E-nose |
| title_short | Intelligent clasification sewage treatment plant (STP) using E-nose |
| title_sort | intelligent clasification sewage treatment plant (stp) using e-nose |
| topic | TK Electrical engineering. Electronics Nuclear engineering TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/33624/ http://umpir.ump.edu.my/id/eprint/33624/ http://umpir.ump.edu.my/id/eprint/33624/ http://umpir.ump.edu.my/id/eprint/33624/1/Intelligent%20clasification%20sewage%20treatment%20plant.pdf |