Presentation

The figure of the University Ombudsperson was created in Spain by means of the 14th section of the University Law, as a guarantor, who must “take care for the respect of the rights and freedom of teachers, students and staff, to act before the actions of different parts and/or university services”. In, some cases, his/her competence on members of the university goes farther, as the Ombudsperson also guards people who arrive or approach the University in a direct or indirect way (e.g. students who have denied their access to University) or other people enrolled in it by means of successive subcontracting (e.g. staff from coffee shops or copy shops, cleaning or computer services, security service, etc.)

NSF presentation

Wind energy conversion research is considered in the framework of the national energy problem. Research and development efforts for the practical application of solar energy -- including wind energy -- as alternative energy supplies are assessed in: (1) Heating and cooling of buildings; (2) photovoltaic energy conversion; (3) solar thermal energy conversion; (4) wind energy conversion; (5) ocean thermal energy conversion; (6) photosynthetic production of organic matter; and (7) conversion of organic matter into fuels

COMP1205 Presentation topic briefs

Topic briefs. Includes marked up topic list which can be used for exam revision purposes

Synthetic Iris Presentation Attack using iDCGAN

Reliability and accuracy of iris biometric modality has prompted its large-scale deployment for critical applications such as border control and national ID projects. The extensive growth of iris recognition systems has raised apprehensions about susceptibility of these systems to various attacks. In the past, researchers have examined the impact of various iris presentation attacks such as textured contact lenses and print attacks. In this research, we present a novel presentation attack using deep learning based synthetic iris generation. Utilizing the generative capability of deep convolutional generative adversarial networks and iris quality metrics, we propose a new framework, named as iDCGAN (iris deep convolutional generative adversarial network) for generating realistic appearing synthetic iris images. We demonstrate the effect of these synthetically generated iris images as presentation attack on iris recognition by using a commercial system. The state-of-the-art presentation attack detection framework, DESIST is utilized to analyze if it can discriminate these synthetically generated iris images from real images. The experimental results illustrate that mitigating the proposed synthetic presentation attack is of paramount importance.Comment: International Joint Conference on Biometrics 201