News

Combilaser at IEEE WCCI 2016

George Panoutsos was invited by the organisers to act as the session chair for the session in ‘Granular Computing’, in which [2] was presented. In collaboration with Luka Eciolaza (from the COMBILASER partner LORTEK) George Panoutsos jointly organised the special session in ‘Fuzzy Approaches for Advanced Manufacturing’, in which [1] was also presented.

Both papers are fundamental to the self-learning system, which is at the core of the COMBILASER project. Paper [1] entails the feature selection algorithm that will be used to capture the critical process variables of each case study (HIDRIA, TM Comas, ORKLI) using a new method based on information measures and Radial Basis Functions. The article presents the methodology as well as simulation results in well-known benchmark datasets. Paper [2] includes the granular computing-based framework that will be used as an iterative algorithm to capture the process dynamics (as ‘information granules’). Both papers were very well received by the audience and stimulated interesting questions/discussions after each presentation.

Publications:

[1] G. Tzagarakis and G. Panoutsos, Model-Based Feature Selection Based on Radial Basis Functions and Information Measures, Proceedings of the 2016 IEEE World Congress on Computational Intelligence, Vancouver 24-29 July, Canada (2016)

[2] A. R. Solis and G. Panoutsos, Iterative Information Granulation for Novelty Detection in Complex Datasets Proceedings of the 2016 IEEE World Congress on Computational Intelligence, Vancouver 24-29 July, Canada (2016)

General information about the event you can find on the link: http://www.wcci2016.org/

Combilaser was presented at IEEE IS’16

Adrian Solis, from the University of Sheffield, attended the IEEE international conference on Intelligent Systems, in Sofia, Bulgaria. The presented work was carried out jointly for the COMBILASER project and is detailed in [1]. The research work included a data-driven modelling framework for manufacturing processes. The emphasis of the presented framework was on imbalanced data, a common issue in real manufacturing case studies.

Publication:

[1] A. R. Solis, G. Panoutsos and S. Thornton, Data-driven Fuzzy Modelling Framework for Classification of Imbalanced Data, Proceedings of the IEEE International Conference on Intelligent Systems (IEEE IS’16), Sofia, 4-6 September, Bulgaria (2016)

General information about the event you can find on the link: https://www.ieee-is.org/

COMBILASER presented at the World Conference on Non-Destructive Testing

Bernhard Reitinger presented the poster “A New Balanced TWM Laser Ultrasound Detector, the Principle and its Applications in NDT” at the 19th World Conference on Non-Destructive Testing (WCNDT, 13 - 17 June 2016 in Munich / Germany, 2.500 participants). This detector principle is used and further developed in the COMBILASER project for the weld characterization by means of Laser ultrasound. 

Poster you can download here. General information about the event you can find on the link https://www.wcndt2016.com/.