2013
Autores
Oliveira, JMB; Pessoa, LM; Salgado, HM; Proudley, G; Charlton, D; White, H;
Publicação
2013 IEEE Avionics, Fiber-Optics and Photonics Technology Conference, AVFOP 2013
Abstract
2013
Autores
Andrade, MT; Almeida, F;
Publicação
2013 IEEE 10TH INTERNATIONAL CONFERENCE ON AND 10TH INTERNATIONAL CONFERENCE ON AUTONOMIC AND TRUSTED COMPUTING (UIC/ATC) UBIQUITOUS INTELLIGENCE AND COMPUTING
Abstract
The present phenomenon of technology convergence is blurring away the frontiers between the Internet and the TV, operating a shift on the way TV is consumed. TV viewers have now access to a huge selection of TV programming as well as online contents, either previously broadcasted or natively produced for the Internet. This reality creates new necessities whilst opening new opportunities for the creation of services capable of filtering this information and presenting the user with the most relevant content. This article describes an innovative hybrid strategy for delivering recommendations of TV content to individual users. It was developed specifically for the TV entertainment services of hotels, but it can be applied to any multimedia consumption service. Without requiring users to explicitly rate the programs they have watched, it is still able to recommend similar programs to similar users. It adopts an improved Pearson correlation method to establish similarities between different users, comparing profiles that have been automatically generated based on the user viewing history. It builds a predicted user profile, which is then used within a content-based approach to generate recommendations.
2013
Autores
Otebolaku, AM; Andrade, MT;
Publicação
2013 IEEE 14TH INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2013), VOL 2
Abstract
Context Recognition is an important element for developing context aware mobile applications. However, context is mostly available as low-level sensor data that are in form not suitable for mobile applications. In this paper, we present a process that uses classifiers for recognizing high-level contexts from low-level sensor data. The process demonstrates accurate recognition of user activity contexts, using smart-phone built-in sensors. We describe and illustrate our context recognition model and then demonstrate its application in a context aware mobile multimedia recommendation system.
2013
Autores
Silva, P; Andrade, MT; Carvalho, P; Mota, J;
Publicação
Journal of Sports Medicine
Abstract
2013
Autores
Almeida, F; Andrade, T; Blefari Melazzi, N; Walker, R; Hussmann, H; Venieris, IS;
Publicação
Signals and Communication Technology - Enhancing the Internet with the CONVERGENCE System
Abstract
2013
Autores
Paulino, N; Ferreira, JC; Cardoso, JMP;
Publicação
RECONFIGURABLE COMPUTING: ARCHITECTURES, TOOLS AND APPLICATIONS
Abstract
This paper presents an extension to a hardware/software system architecture in which repetitive instruction traces, called Megablocks, are accelerated by a Reconfigurable Processing Unit (RPU). This scheme is supported by a custom toolchain able to automatically generate a RPU tailored for the execution of one or more Megablocks detected offline. Switching between hardware and software execution is done transparently, without modifications to source code or executable binaries. Our approach has been evaluated using an architecture with a MicroBlaze General Purpose Processor (GPP) softcore. By using a memory sharing mechanism, the RPU can access the GPP's data memory, allowing the acceleration of Megablocks with load/store operations. For a set of 21 embedded benchmarks, an average speedup of 1.43x is achieved, and a potential speedup of 2.09x is predicted for an implementation using a low overhead interface for communication between GPP and RPU.
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