Kalman Filter Based Formaldehyde Odor Characteristics Estimation in Pathology Department, HTAA
This paper deals with Kalman Filter based estimation for formaldehyde odor characteristics for Pathology Department in HTAA. Currently, the formaldehyde can only be measured by using an e-nose alone which is still a new technique for measurement and the enose has limited performance due to specific...
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| Format: | Conference or Workshop Item |
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2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/11193/ http://umpir.ump.edu.my/id/eprint/11193/1/Kalman%20Filter%20Based%20Formaldehyde%20Odor%20Characteristics%20Estimation%20In%20Pathology%20Department%2C%20HTAA.pdf http://umpir.ump.edu.my/id/eprint/11193/7/fkee-2015-hamzah-Kalman%20Filter%20Based.pdf |
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ump-11193 |
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eprints |
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ump-111932018-04-11T00:35:19Z http://umpir.ump.edu.my/id/eprint/11193/ Kalman Filter Based Formaldehyde Odor Characteristics Estimation in Pathology Department, HTAA Hamzah, Ahmad Nor Syahidah, Samsuri Mohd Rusllim, Mohamed TK Electrical engineering. Electronics Nuclear engineering This paper deals with Kalman Filter based estimation for formaldehyde odor characteristics for Pathology Department in HTAA. Currently, the formaldehyde can only be measured by using an e-nose alone which is still a new technique for measurement and the enose has limited performance due to specific jig dimension and environment conditions. Hence, there is a need to estimate the characteristics that able to simulate different environment conditions. The proposed design are referring to the raw data obtained from real experiment of four different sensors measurement from e-nose. The mathematical model is then constructed in a state space representation based on the raw data to approximate the nearest possible estimation. Simulation analysis described that the approach is novel which can estimate the formaldehyde odor characteristics with small error. The developed model also open the possibilities to infer the conditions of formaldehyde for different kinds of environment. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11193/1/Kalman%20Filter%20Based%20Formaldehyde%20Odor%20Characteristics%20Estimation%20In%20Pathology%20Department%2C%20HTAA.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/11193/7/fkee-2015-hamzah-Kalman%20Filter%20Based.pdf Hamzah, Ahmad and Nor Syahidah, Samsuri and Mohd Rusllim, Mohamed (2015) Kalman Filter Based Formaldehyde Odor Characteristics Estimation in Pathology Department, HTAA. In: Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2015, 11-13 October 2015 , Johor Bahru, Johor, Malaysia. pp. 1-6.. (Unpublished) |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
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Online Access |
| language |
English English |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Hamzah, Ahmad Nor Syahidah, Samsuri Mohd Rusllim, Mohamed Kalman Filter Based Formaldehyde Odor Characteristics Estimation in Pathology Department, HTAA |
| description |
This paper deals with Kalman Filter based estimation for formaldehyde odor characteristics for Pathology Department in HTAA. Currently, the formaldehyde can only be measured by using an e-nose alone which is still a new technique for measurement and the enose has limited performance due to specific jig dimension and environment conditions. Hence, there is a need to estimate the characteristics that able to simulate different environment conditions. The proposed design are referring to the raw data obtained from real experiment of four different sensors measurement from e-nose. The mathematical model is then constructed in a state space representation based on the raw data to approximate the nearest possible estimation. Simulation analysis described that the approach is novel which can estimate the formaldehyde odor characteristics with small error. The developed model also open the possibilities to infer the conditions of formaldehyde for different kinds of environment. |
| format |
Conference or Workshop Item |
| author |
Hamzah, Ahmad Nor Syahidah, Samsuri Mohd Rusllim, Mohamed |
| author_facet |
Hamzah, Ahmad Nor Syahidah, Samsuri Mohd Rusllim, Mohamed |
| author_sort |
Hamzah, Ahmad |
| title |
Kalman Filter Based Formaldehyde Odor Characteristics Estimation in Pathology Department, HTAA |
| title_short |
Kalman Filter Based Formaldehyde Odor Characteristics Estimation in Pathology Department, HTAA |
| title_full |
Kalman Filter Based Formaldehyde Odor Characteristics Estimation in Pathology Department, HTAA |
| title_fullStr |
Kalman Filter Based Formaldehyde Odor Characteristics Estimation in Pathology Department, HTAA |
| title_full_unstemmed |
Kalman Filter Based Formaldehyde Odor Characteristics Estimation in Pathology Department, HTAA |
| title_sort |
kalman filter based formaldehyde odor characteristics estimation in pathology department, htaa |
| publishDate |
2015 |
| url |
http://umpir.ump.edu.my/id/eprint/11193/ http://umpir.ump.edu.my/id/eprint/11193/1/Kalman%20Filter%20Based%20Formaldehyde%20Odor%20Characteristics%20Estimation%20In%20Pathology%20Department%2C%20HTAA.pdf http://umpir.ump.edu.my/id/eprint/11193/7/fkee-2015-hamzah-Kalman%20Filter%20Based.pdf |
| first_indexed |
2023-09-18T22:11:39Z |
| last_indexed |
2023-09-18T22:11:39Z |
| _version_ |
1777415067837399040 |