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Yayın An interoperability infrastructure for distributed feed networks(2007) Wild, Fridolin; Siguroarson, Steinn E.; Sobernig, Stefan; Stahl, Christina; Soylu, Ahmet; Rebas, Vahur; Gárka, Dariusz; Danielewska-Tułecka, Anna; Tapiador, AntonioBlogs have the affordance to become an integral part of teaching and learning processes as a vehicle for knowledge management. Open, flexible systems integrating blogs provide user-friendly, personalised microlearning environments while ensuring ubiquitous access. This paper concentrates on blog interoperability in an open space for learning and collaboration. As blogging is one of the most popular web-based forms of publishing today, there is a plethora of different blogging tools, feed readers, and aggregators, enabling information dissemination, filtering, and retrieval. Several different data structure and interaction standards emerged which make integration a real challenge. This paper aims at creating distributed microlearning environments basing on networks of integrated blogs, discusses problems of such an integration along with possible solutions, and proposes an architecture for loosely-coupled blog integration. The core of this infrastructure consists of a service interface for feed management that allows learners as well as facilitators to automatically set up channel structures for feed syndication, while effectively reducing the management efforts thereof through proper system support.Yayın A novel biometric authentication approach using electrocardiogram signals(IEEE, 2013) Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık BinboğaIn this work, we present a novel biometric authentication approach based on combination of AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The proposed approach is tested on a subset of 30 subjects selected from the PTB database. This subset consists of 13 healthy and 17 non-healthy subjects who have two ECG records. The proposed biometric authentication approach achieves average frame recognition rate of %97.31 on the selected subset. Our experimental results imply that the frame recognition rate of the proposed authentication approach is better than that of ACDCT and MFCC based biometric authentication systems, individually.Yayın A novel human identification system based on electrocardiogram features(IEEE, 2013) Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık BinboğaIn this work, we present a novel biometric authentication approach based on combination of AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The proposed approach is tested on a subset of 30 subjects selected from the PTB database. This subset consists of 13 healthy and 17 non-healthy subjects who have two ECG records. The proposed biometric authentication approach achieves average frame recognition rate of %97.31 on the selected subset. Our experimental results imply that the frame recognition rate of the proposed authentication approach is better than that of ACDCT and MFCC based biometric authentication systems, individually.
