Optimization of user comfort index for ambient intelligence using dynamic inertia weight artificial bees colony optimization algorithm
Ambient intelligence (AmI) aims to bring intelligence to human daily lives and making the environment more sensitive and comfortable by applying computational intelligence, sensors and sensors networks. The occupant’s comfort can be measured using the user comfort index. A user comfort index in an i...
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| Format: | Conference or Workshop Item |
| Language: | English |
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Springer
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/34333/ http://umpir.ump.edu.my/id/eprint/34333/1/Optimization%20of%20user%20comfort%20index%20for%20ambient%20intelligence.pdf |
| _version_ | 1848824478831738880 |
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| author | Farah Nur Arina, Baharudin Nor Azlina, Ab. Aziz Mohamad Razwan, Abdul Malek Zuwairie, Ibrahim |
| author_facet | Farah Nur Arina, Baharudin Nor Azlina, Ab. Aziz Mohamad Razwan, Abdul Malek Zuwairie, Ibrahim |
| author_sort | Farah Nur Arina, Baharudin |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Ambient intelligence (AmI) aims to bring intelligence to human daily lives and making the environment more sensitive and comfortable by applying computational intelligence, sensors and sensors networks. The occupant’s comfort can be measured using the user comfort index. A user comfort index in an indoor environment can be affected by the temperature of the room, the illumination of the lighting and the indoor air quality. In this work, these parameters are optimized using dynamic inertia weight artificial bees colony (DIW-ABC) optimization algorithm. The inertia weight in DIW-ABC controls the exploration and exploitation of the colony. The findings show that the DIW-ABC achieved better performance than the original ABC. The optimized parameter can be feed to a controller to provide a room with ambient intelligence. |
| first_indexed | 2025-11-15T03:13:40Z |
| format | Conference or Workshop Item |
| id | ump-34333 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:13:40Z |
| publishDate | 2021 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-343332022-11-15T03:50:48Z http://umpir.ump.edu.my/id/eprint/34333/ Optimization of user comfort index for ambient intelligence using dynamic inertia weight artificial bees colony optimization algorithm Farah Nur Arina, Baharudin Nor Azlina, Ab. Aziz Mohamad Razwan, Abdul Malek Zuwairie, Ibrahim QA76 Computer software T Technology (General) Ambient intelligence (AmI) aims to bring intelligence to human daily lives and making the environment more sensitive and comfortable by applying computational intelligence, sensors and sensors networks. The occupant’s comfort can be measured using the user comfort index. A user comfort index in an indoor environment can be affected by the temperature of the room, the illumination of the lighting and the indoor air quality. In this work, these parameters are optimized using dynamic inertia weight artificial bees colony (DIW-ABC) optimization algorithm. The inertia weight in DIW-ABC controls the exploration and exploitation of the colony. The findings show that the DIW-ABC achieved better performance than the original ABC. The optimized parameter can be feed to a controller to provide a room with ambient intelligence. Springer 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34333/1/Optimization%20of%20user%20comfort%20index%20for%20ambient%20intelligence.pdf Farah Nur Arina, Baharudin and Nor Azlina, Ab. Aziz and Mohamad Razwan, Abdul Malek and Zuwairie, Ibrahim (2021) Optimization of user comfort index for ambient intelligence using dynamic inertia weight artificial bees colony optimization algorithm. In: Lecture Notes in Mechanical Engineering; 8th International Conference on Robot Intelligence Technology and Applications, RiTA 2020 , 11-13 December 2020 , Virtual, Online. pp. 351-363.. ISSN 2195-4356 ISBN 978-981-16-4803-8 (Published) https://doi.org/10.1007/978-981-16-4803-8_35 |
| spellingShingle | QA76 Computer software T Technology (General) Farah Nur Arina, Baharudin Nor Azlina, Ab. Aziz Mohamad Razwan, Abdul Malek Zuwairie, Ibrahim Optimization of user comfort index for ambient intelligence using dynamic inertia weight artificial bees colony optimization algorithm |
| title | Optimization of user comfort index for ambient intelligence using dynamic inertia weight artificial bees colony optimization algorithm |
| title_full | Optimization of user comfort index for ambient intelligence using dynamic inertia weight artificial bees colony optimization algorithm |
| title_fullStr | Optimization of user comfort index for ambient intelligence using dynamic inertia weight artificial bees colony optimization algorithm |
| title_full_unstemmed | Optimization of user comfort index for ambient intelligence using dynamic inertia weight artificial bees colony optimization algorithm |
| title_short | Optimization of user comfort index for ambient intelligence using dynamic inertia weight artificial bees colony optimization algorithm |
| title_sort | optimization of user comfort index for ambient intelligence using dynamic inertia weight artificial bees colony optimization algorithm |
| topic | QA76 Computer software T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/34333/ http://umpir.ump.edu.my/id/eprint/34333/ http://umpir.ump.edu.my/id/eprint/34333/1/Optimization%20of%20user%20comfort%20index%20for%20ambient%20intelligence.pdf |