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All Outputs (18)

Collaboration of heterogenous metaheuristic agents (2010)
Conference Proceeding
Aydin, M. E. (2010). Collaboration of heterogenous metaheuristic agents. https://doi.org/10.1109/ICDIM.2010.5664656

Collaboration of metaheuristic agents remains as a problem, which attracts challenges to overcome in order to manage a better collaboration in problem solving methodologies. Swarm intelligences techniques have been tried as collaborating methods with... Read More about Collaboration of heterogenous metaheuristic agents.

Swarms of metaheuristic agents: A model for collective intelligence (2010)
Conference Proceeding
Aydin, M. E., Wu, J., & Zhang, L. (2010). Swarms of metaheuristic agents: A model for collective intelligence. In 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (296-301). https://doi.org/10.1109/3PGCIC.2010.49

Swarm intelligence algorithms are created to build collective intelligence based on inherent properties of populations. However, this sort of problem solving approaches use collective evolution of solutions, which make up the population relied on. Th... Read More about Swarms of metaheuristic agents: A model for collective intelligence.

Grounding motivation in energy autonomy: A study of artificial metabolism constrained robot dynamics (2010)
Conference Proceeding
Lowe, R., Montebelli, A., Ieropoulos, I., Greenman, J., Melhuish, C., & Ziemke, T. (2010). Grounding motivation in energy autonomy: A study of artificial metabolism constrained robot dynamics. In H. Fellermann, M. Hanczyc, & M. Dorr (Eds.), Artificial Life XII: Proceedings of the 12th International Conference on the Synthesis and Simulation of Living Systems. , (725-732)

We present an evolutionary robotics investigation into the metabolism constrained homeostatic dynamics of a simulated robot. Unlike existing research that has focused on either energy or motivation autonomy the robot described here is considered in t... Read More about Grounding motivation in energy autonomy: A study of artificial metabolism constrained robot dynamics.

Microbial fuel cell driven behavioral dynamics in robot simulations (2010)
Conference Proceeding
Montebelli, A., Lowe, R., Ieropoulos, I., Melhuish, C., Greenman, J., & Ziemke, T. (2010). Microbial fuel cell driven behavioral dynamics in robot simulations. In M. Hanczyc, M. Dorr, & H. Fellermann (Eds.), Artificial Life XII: Proceedings of the 12th International Conference on the Synthesis and Simulation of Living Systems. , (749-756)

With the present study we report the first application of a recently proposed model for realistic microbial fuel cells (MFCs) energy generation dynamics, suitable for robotic simulations with minimal and extremely limited computational overhead. A si... Read More about Microbial fuel cell driven behavioral dynamics in robot simulations.

Development of non-destructive heat resistance evaluation system for TBC on gas turbine blade (2010)
Conference Proceeding
Fujioka, T., Sakai, E., Takahashi, T., Fujii, T., Chandra, B., Simmons, K., …Tittel, M. (2010). Development of non-destructive heat resistance evaluation system for TBC on gas turbine blade. In Volume 1: Aircraft Engine; Ceramics; Coal, Biomass and Alternative Fuels; Education; Electric Power; Manufacturing Materials and Metallurgy (125-131). https://doi.org/10.1115/GT2010-22631

The use of thermal barrier coatings (TBCs) is the key technique for realizing high-efficiency gas turbine combined cycles. Hence, TBCs are applied to various hot gas path components such as combustors, blades, and vanes. The application of a TBC caus... Read More about Development of non-destructive heat resistance evaluation system for TBC on gas turbine blade.

A spiking neural representation for XCSF (2010)
Conference Proceeding
Lanzi, P. L., Howard, G., Howard, D., & Bull, L. (2010). A spiking neural representation for XCSF. . https://doi.org/10.1109/CEC.2010.5586035

This paper presents a Learning Classifier System (LCS) where each traditional rule is represented by a spiking neural network, a type of network with dynamic internal state. The evolutionary design process exploits parameter self-adaptation and a con... Read More about A spiking neural representation for XCSF.

Clustering ensembles based on multi-classifier fusion (2010)
Conference Proceeding
Huang, Y., Monekosso, D., & Wang, H. (2010). Clustering ensembles based on multi-classifier fusion. . https://doi.org/10.1109/ICICISYS.2010.5658608

Clustering ensembles can combine multiple partitions generated by different clustering methods into a final superior clustering result. Compared to single clustering algorithm, it can provide better solutions in terms of robustness, novelty and stabi... Read More about Clustering ensembles based on multi-classifier fusion.

Sliding mode control of a microsatellite attitude (2010)
Conference Proceeding
Nemati, H., Bahrami, M., & Ebrahimi, B. (2010). Sliding mode control of a microsatellite attitude. In 2010 3rd International Symposium on Systems and Control in Aeronautics and Astronautics (561-565). https://doi.org/10.1109/ISSCAA.2010.5633071

Attitude control of a micro-satellite is analyzed with sliding control method. With this method, attitude dynamics of satellite is robust against uncertainties and unknown disturbances. Nonlinear and coupled model in this paper is utilized and to pre... Read More about Sliding mode control of a microsatellite attitude.

Power-aware QoS geographical routing for wireless sensor networks - Implementation using Contiki (2010)
Conference Proceeding
Djenouri, D., & Balasingham, I. (2010). Power-aware QoS geographical routing for wireless sensor networks - Implementation using Contiki. In 2010 6th IEEE International Conference on Distributed Computing in Sensor Systems Workshops (DCOSSW). https://doi.org/10.1109/dcossw.2010.5593276

This paper presents the design and implementation of a new geographical quality of service (QoS) routing for wireless sensor networks. The protocol is based on traffic differentiation and provides customized QoS according to the traffic requirement.... Read More about Power-aware QoS geographical routing for wireless sensor networks - Implementation using Contiki.

High speed, multi-scale tracing of curvilinear features with automated scale selection and enhanced orientation computation (2010)
Conference Proceeding
Wedowski, R., Farooq, A., Smith, L., & Smith, M. (2010). High speed, multi-scale tracing of curvilinear features with automated scale selection and enhanced orientation computation. In W. Smari (Ed.), International Conference on High Performance Computing and Simulation (HPCS), 2010 (410-417). https://doi.org/10.1109/HPCS.2010.5547105

We propose a new high speed line tracing algorithm based on a well known differential geometric line extraction algorithm. The previously separate steps of line detection and line tracing are performed simultaneously. This allows the exclusion of non... Read More about High speed, multi-scale tracing of curvilinear features with automated scale selection and enhanced orientation computation.

Aspect oriented software fault tolerance and analytically redundant design framework (2010)
Conference Proceeding
Hameed, K., Williams, R., & Smith, J. (2010). Aspect oriented software fault tolerance and analytically redundant design framework. In 2010 International Conference on Dependable Systems and Networks Workshops (DSN-W) (38-44). https://doi.org/10.1109/DSNW.2010.5542623

Diversity or redundancy based software fault tolerance does not come for free; rather it introduces additional complexity to the core functionality in the form of redundancy development, management and controlled execution. This results in tangling o... Read More about Aspect oriented software fault tolerance and analytically redundant design framework.

EcoBot-III: A robot with guts (2010)
Conference Proceeding
Ieropoulos, I., Greenman, J., Melhuish, C., & Horsfield, I. (2010). EcoBot-III: A robot with guts. In H. Fellermann, M. Dörr, M. M. Hanczyc, L. L. Laursen, S. Maurer, D. Merkle, …S. Rasmussen (Eds.), Artificial Life XII: Proceedings of the 12th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2010. , (733-740)

This paper describes the work carried out to develop EcoBot- III, which is a robot with an artificial digestion system. The robot is powered by Microbial Fuel Cells (MFCs) and it is designed to collect food and water from the environment, digest the... Read More about EcoBot-III: A robot with guts.

ContextML: A light-weight context representation and context management schema (2010)
Conference Proceeding
Frà, C., Kiani, S. L., Knappmeyer, M., Zafar, M., Baker, N., & Moltchanov, B. (2010). ContextML: A light-weight context representation and context management schema. In 5th IEEE International Symposium on Wireless Pervasive Computing (367-372). https://doi.org/10.1109/ISWPC.2010.5483753

Context representation is a fundamental process in developing context aware systems for the pervasive world. We present a light weight XML based context representation schema called ContextML in which context information is categorized into scopes an... Read More about ContextML: A light-weight context representation and context management schema.

Current stabilization in fuel cell/battery hybrid system using fuzzy-based controller (2010)
Conference Proceeding
Rakhtala Rostami, S. M., Ghaderi, R., Ranjbar, A., Fadaeian, T., & Niaki, S. A. N. (2010). Current stabilization in fuel cell/battery hybrid system using fuzzy-based controller. . https://doi.org/10.1109/EPEC.2009.5420932

In recent years, fuel cells are emerging as main power sources for most applications. These sources have slow dynamic response and should be protected against current impulses. These transients will be harmful to the membrane electrode assembly (MEA)... Read More about Current stabilization in fuel cell/battery hybrid system using fuzzy-based controller.

PEM fuel cell voltage-tracking using artificial neural network (2010)
Conference Proceeding
Rakhtala Rostami, S. M., Ghaderi, R., Ranjbar, A., Fadaeian, T., & Niaki, S. A. N. (2010). PEM fuel cell voltage-tracking using artificial neural network. In 2009 IEEE Electrical Power & Energy Conference (EPEC). https://doi.org/10.1109/EPEC.2009.5420935

Transients in load and consequently in stack current have a significant impact on the performance and durability of fuel cell. The delay exciting in auxiliary equipments in fuel cell system such as pumps, heaters, back pressures will degrade system p... Read More about PEM fuel cell voltage-tracking using artificial neural network.