Monthly Archives: May 2016

Comparison and Applications of Geolocation Services in Mobile and Web Platforms

Antoniya Tasheva

Abstract: The paper examines the contemporary services for finding user’s location in different applications. The main methods for finding the geolocation are described and their accuracy, speed and resource consumption are compared. Examples for geolocation usage are presented. Possible security issues are marked with their solutions.

Key words: Geolocation, Location, HTML5, GPS

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An Overview of ICT Platforms Designed for Cognitive Rehabilitation of Neurological Patients

Galidiya Petrova

Abstract: This paper presents an overview of ICT platforms and systems designed for cognitive rehabilitation of neurological patients with working memory deficits and disruption of executive functions. The main aim is to analyze their main characteristics and differences and to identify their possible applications for personalized and continuous rehabilitation at home setting. The possibility to train patients with more complex tasks is also taken into consideration.

Keywords: lCT platforms, cognitive rehabilitation, neurological patients.

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Examining Resource Sharing in Social Networks and Learning Management Systems

Adelina Aleksieva-Petrova, Plamen Tenev

Abstract: This research presents a platform which benefits from Social Network Sites (SNS) sites and Learning Management Systems (LMS). The platform offers resources semantically to its users based on their interests and relations. In order to provide these recommendations, the model provides elements for representing the content through the use of an ontological model. This model is further enhanced with semantic techniques for the characterization and relationships between user profiles, resources and social networks. In fact, with this model could be the basis of recommendation system based on social media data, and it could be exploited use by the recommendations on different products, which are stored in the Web and with similar characteristics between them.

Key words: clusterization, LMS, social networks, SNS, semantic data

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