All Outputs (4)

Metaheuristic optimisation of sound absorption performance of multilayered porous materials (2019)
Conference Proceeding
Ramamoorthy, V. T., Özcan, E., Parkes, A. J., Luc, J., & Bécot, F. (2019). Metaheuristic optimisation of sound absorption performance of multilayered porous materials. In Proceedings of the ICA 2019 and EAA Euroregio 23rd International Congress on Acoustics, integrating 4th EAA Euroregio 2019 9 - 13 September 2019, Aachen, Germany (3213-3220)

The optimization of multilayered-sound-packaging is a challenging task which involves searching the best/op-timal settings for a number of acoustic parameters. The search space size becomes too large to handle by brute force, as the number of those p... Read More about Metaheuristic optimisation of sound absorption performance of multilayered porous materials.

Towards a streamlined stacking sequence optimisation methodology for blended composite aircraft structures (2019)
Conference Proceeding
Ntourmas, G., Özcan, E., Chronopoulos, D., Glock, F., & Daoud, F. (2019). Towards a streamlined stacking sequence optimisation methodology for blended composite aircraft structures. In Proceedings of 8th European Conference for Aeronautics and Aerospace Sciences (EUCASS)

In order to fully exploit the benefits provided by using composite materials in large scale aerospace structures, more efficient detailed design optimisation techniques need to be developed. In the present work, the optimisation procedure is split up... Read More about Towards a streamlined stacking sequence optimisation methodology for blended composite aircraft structures.

Fuzzy Hot Spot Identification for Big Data: An Initial Approach (2019)
Conference Proceeding
Triguero, I., Tickle, R., Figueredo, G. P., Mesgarpour, M., Ozcan, E., & John, R. I. (2019). Fuzzy Hot Spot Identification for Big Data: An Initial Approach. In 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/FUZZ-IEEE.2019.8858979

Hot spot identification problems are present across a wide range of areas, such as transportation, health care and energy. Hot spots are locations where a certain type of event occurs with high frequency. A recent big data approach is capable of iden... Read More about Fuzzy Hot Spot Identification for Big Data: An Initial Approach.

A study on the interpretability of a fuzzy system to control an inverted pendulum (2019)
Conference Proceeding
Zeren, B., Deveci, M., Coupland, S., John, R., & Ender¨ozcan, E. (2019). A study on the interpretability of a fuzzy system to control an inverted pendulum.

Fuzzy systems mimic human reasoning and provide solutions to problems under uncertainty via 'computing with words'. This particular strength of fuzzy systems is often discarded in some real world applications where the fuzzy sets are designed for con... Read More about A study on the interpretability of a fuzzy system to control an inverted pendulum.