Titlebook: Advances in Computing Systems and Applications; Proceedings of the 3 Oualid Demigha,Badis Djamaa,Abdenour Amamra Conference proceedings 201

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The Ursa Major Molecular Cloudsy the craze around data and more particularly around big data. The data poses many challenges related to its exploitation. Its scope goes beyond traditional structures, such as databases or data warehouses. Furthermore, it is mostly unstructured which results in a need for new approaches to explore

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匯總

https://doi.org/10.1007/978-3-8348-9015-3 and the ZedBoard Zynq-7000 platform using . hardcore processor. The most pairing functions are constructed on the same model, one execution of the .’s algorithm plus a final exponentiation, which can be programed with addition chain method. Our flexible system can be performed for any curve paramet

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https://doi.org/10.1007/978-3-8348-9015-3iency Video Coding (HEVC). While it provides high coding efficiency, the data dependencies in H.265/HEVC CABAC make it challenging to parallelize and thus, limit its throughput. This paper proposes a multi-bins CABAC decoder architecture adaptive to HEVC syntax elements with small FSM (finite state

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https://doi.org/10.1007/978-3-8348-9015-3 product variants that are developed for SPL using ad hoc reuse techniques such as copy-paste-modify. In this paper, we present an approach for migrating existing product variants into an SPL. This approach is applied on models and it takes as input a set of models that abstract the product variants

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https://doi.org/10.1007/978-3-8348-9015-3t any limitation. The interest of the scientific community towards social contents has increased due to their importance in various fields such as marketing, sociology and politics. Several research areas related to social networks have emerged namely, community detection, sentiment analysis and top

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FISC

https://doi.org/10.1007/978-3-8348-9015-3 and the ZedBoard Zynq-7000 platform using . hardcore processor. The most pairing functions are constructed on the same model, one execution of the .’s algorithm plus a final exponentiation, which can be programed with addition chain method. Our flexible system can be performed for any curve parameters.