Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space
Singh Jamnal, G., Liu, X., & Fan, L. (2017)
Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space. In Proceedings of The 29th International Conference on Software Engineering and Knowledge Engineering
In this paper, we proposed a new type of decision making system to achieve the intelligent goal for automated smart environments. The artificial intelligence techniques, used ...
Evaluation of a genetic representation for outline shapes
Lapok, P., Lawson, A., & Paechter, B. (2017)
Evaluation of a genetic representation for outline shapes. In GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1419-1422). https://doi.org/10.1145/3067695.3082501
This work in progress focuses on the evaluation of a genetic representation for outline shapes for planar mechanical levers which addresses the first stage of the complex real...
Demo paper: AGADE - Scalability of ontology based agent simulations
Farrenkopf, T., Guckert, M., Urquhart, N. B., & Wells, S. (2016)
Demo paper: AGADE - Scalability of ontology based agent simulations. In Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection. , (256-259). https://doi.org/10.1007/978-3-319-39324-7_25
Simulations of real world scenarios often require considerably
large numbers of agents. With increasing level of detail and resolution
in the underlying models machine limitat...
TARGO: transition and reallocation based green optimization for Cloud VMs.
Fang, D., Liu, X., Liu, L., & Yang, H. (2013)
TARGO: transition and reallocation based green optimization for Cloud VMs. In Proceedings of the IEEE International Conference on Green Computing and Communications 2013, 215-223. https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.56
Much research has been conducted focusing on improving resource utilization efficiency in data centers in the context of Green Cloud Computing (GCC). While virtualization enab...
On AIRS and clonal selection for machine learning
McEwan, C., & Hart, E. (2009)
On AIRS and clonal selection for machine learning. In Artificial Immune Systems. , (67-79). https://doi.org/10.1007/978-3-642-03246-2_11
Many recent advances have been made in understanding the functional implications of the global topological properties of biological networks through the application of complex...
A Perspective on Middleware-Oriented Context-Aware Pervasive Systems
Jaroucheh, Z., Liu, X., & Smith, S. (2008)
A Perspective on Middleware-Oriented Context-Aware Pervasive Systems. In Proceedings - International Computer Software and Applications Conference, 249-254. doi:10.1109/compsac.2009.142
The evolving concepts of mobile computing, context-awareness, and ambient intelligence are increasingly influencing user's experience of services. Therefore, the goal of this ...
Revisiting the Central and Peripheral Immune System
McEwan, C., Hart, E., & Paechter, B. (2006)
Revisiting the Central and Peripheral Immune System. In Artificial Immune Systems. ICARIS 2007, 240-251. doi:10.1007/978-3-540-73922-7_21
The idiotypic network has a long and chequered history in both theoretical immunology and Artificial Immune Systems. In terms of the latter, the drive for engineering applicat...
Tracking pedestrians using visible and infrared systems
Armitage, A., Binnie, D., Chamberlain, T., Nilsson, M., & Rutter, M. (2005)
Tracking pedestrians using visible and infrared systems. In Universities Transport Study Group conference, 1-9
In this paper, we will describe a number of research projects at Napier University on pedestrian tracking. This work started with systems based on ordinary cameras working at ...
Dimensional analysis based causal ordering
Shen, Q., Peng, T., & Milne, R. (1998)
Dimensional analysis based causal ordering. In Proceedings of the 13th International Workshop on Qualitative Reasoning, 193-202
This paper presents a novel approach for generating causal dependencies between system variables, from an acausal description of the system behaviour, and for identifying the ...