Modelling immune systems responses for the development of energy sharing strategies for swarm robotic systems
This paper presents an initial investigation on studying an immune systems response; the granuloma formation for the inspirations on the development of energy sharing strategies for swarm robotic systems. Granuloma formation is a process in which unwanted substances are removed by immune systems. To...
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iium-381652015-09-21T09:19:02Z http://irep.iium.edu.my/38165/ Modelling immune systems responses for the development of energy sharing strategies for swarm robotic systems Al Haek, Mohammed Ismail , Amelia Ritahani Nordin, Azlin Sulaiman, Suriani Hui, Keng Lau QA75 Electronic computers. Computer science This paper presents an initial investigation on studying an immune systems response; the granuloma formation for the inspirations on the development of energy sharing strategies for swarm robotic systems. Granuloma formation is a process in which unwanted substances are removed by immune systems. To better understand the components and the processes in granuloma formation, we modeled them using Unified Modelling Language (UML). Based on this model, analogous properties of the granuloma formation and swarm robotic systems are mapped accordingly. Based on these work energy sharing strategies which are inspired by the process in granuloma formation are proposed, in particular, for fault tolerance in swarm robotic systems. 2014 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/38165/1/Validated-icctcs2014.pdf application/pdf en http://irep.iium.edu.my/38165/2/Conference_Program-ICCST_2014.pdf Al Haek, Mohammed and Ismail , Amelia Ritahani and Nordin, Azlin and Sulaiman, Suriani and Hui, Keng Lau (2014) Modelling immune systems responses for the development of energy sharing strategies for swarm robotic systems. In: International Conference on Computational Science and Technology (ICCST’14), 27 - 28 August 2014, Kota Kinabalu, Sabah. |
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QA75 Electronic computers. Computer science |
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QA75 Electronic computers. Computer science Al Haek, Mohammed Ismail , Amelia Ritahani Nordin, Azlin Sulaiman, Suriani Hui, Keng Lau Modelling immune systems responses for the development of energy sharing strategies for swarm robotic systems |
description |
This paper presents an initial investigation on studying an immune systems response; the granuloma formation for the inspirations on the development of energy sharing strategies for swarm robotic systems. Granuloma formation is a process in which unwanted substances are removed by immune systems. To better understand the components and the processes in granuloma formation, we modeled them using Unified Modelling Language (UML). Based on this model, analogous properties of the granuloma formation and swarm robotic systems are mapped accordingly. Based on these work energy sharing strategies which are inspired by the process in granuloma formation are proposed, in particular, for fault tolerance in swarm robotic systems. |
format |
Conference or Workshop Item |
author |
Al Haek, Mohammed Ismail , Amelia Ritahani Nordin, Azlin Sulaiman, Suriani Hui, Keng Lau |
author_facet |
Al Haek, Mohammed Ismail , Amelia Ritahani Nordin, Azlin Sulaiman, Suriani Hui, Keng Lau |
author_sort |
Al Haek, Mohammed |
title |
Modelling immune systems responses for the development of energy sharing strategies for swarm robotic systems |
title_short |
Modelling immune systems responses for the development of energy sharing strategies for swarm robotic systems |
title_full |
Modelling immune systems responses for the development of energy sharing strategies for swarm robotic systems |
title_fullStr |
Modelling immune systems responses for the development of energy sharing strategies for swarm robotic systems |
title_full_unstemmed |
Modelling immune systems responses for the development of energy sharing strategies for swarm robotic systems |
title_sort |
modelling immune systems responses for the development of energy sharing strategies for swarm robotic systems |
publishDate |
2014 |
url |
http://irep.iium.edu.my/38165/ http://irep.iium.edu.my/38165/1/Validated-icctcs2014.pdf http://irep.iium.edu.my/38165/2/Conference_Program-ICCST_2014.pdf |
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2023-09-18T20:54:47Z |
last_indexed |
2023-09-18T20:54:47Z |
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1777410231930716160 |